About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.

Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team:

SecurityScorecard runs an unusually fast product org — ~120 in Engineering, a roadmap that re-prioritizes weekly, and a culture where the question isn’t “can we build it in two months” but “how do we do it in five days?” Product Operations is the operating system that lets that speed scale without flying blind.

We’re hiring a leader to own Product Ops end-to-end and run it as a three-pillar function: Data, Stories, and Process. This person inherits a mature, AI-native operation and is expected to push it further.

You’ll be the connective tissue between PMs, Engineering, Design, GTM, Finance, and the board reporting line. You break bottlenecks, you instrument everything, and you’re already prototyping the next AI workflow before anyone asks forit.

About the Role:

Data & Product Metrics (obsessively)

• The metrics source of truth: Threshold Score (customer health → board + Gainsight), engineering delivery metrics (Span/DORA, throughput, AI-code ratio via Sigma), product engagement & NPS methodology (Pendo Listen), and Product P&L inputs with Finance.
• The Customer Insights data layer on Snowflake — AI-extracted pain points, feature requests, and verbatim quotes piped from call transcripts — and the persona-matching model against our maturity frame work.
• You should itch when a roadmap call happens without the data behind it.

Programs, Reporting & Delivery (PMO)

• The full delivery cadence: roadmap intake, Jira (PRODF) administration, R/Y/G milestone tracking, the Change Control Board (CCB), release-train sign-off, OKRs, and planning for ~120 people.
• The weekly executive reporting stack (Joint Tech & Product update, Q2 Roadmap Exec Report, Engineering Weekly) and the quarterly board-paper KPI inputs and you’ll formalize these so they don’t live in one person’shead.

AI for Product Ops (the urgent mandate)

• Inherit and extend a working library of Claude skills that already run this operation — weekly reporting, CCB recaps, customer-meeting research,
• Pendo-feedback-to-roadmap matching, hiring protocols, release-notes ROI framing wired across systems such as Jira, Confluence, Pendo, Snowflake, Slack, GDrive.
• Become the org’s go-to for AI/agentic product-ops tooling (today an informal role across Product, CS, and Marketing) and turn ad-hoc magic into durable, documented capability. This is where we want urgency and excitement, not caution.

Cross-functional forums & GTM

• Run the forums that keep the org aligned: Product Court (GTM Product roadmap triage), Bar Raisers (work-quality review), and the monthly product-org meeting.
• Partner on pricing & packaging (Titan Secure/Assess), the annual Pricebook, vendor management (Pendo, Sigma, Span, FullStory, Heap), and strategic customer/roadmap c alls.

Who you are

• A brick-wall breaker. You see a blocker and go through it smart, allergic to “that’s how we’ve always done it.” We reward bias to action.
• Impatient (yet personable/friendly) , in the best way. You compress timelines and force decisions (Pendo/Heap consolidation, release sign-offs, planning logistics) without burning the team out. You thrive in constant re-planning and design work to be incremental and portable.
• Metrics-obsessed. You think in cohorts, leading indicators, and ROI. You can build the dashboard and tell the story it implies — to a PM and to the board.
• Genuinely AI-forward. You’ve shipped AI/LLM workflows into how work gets done, not just talked about it. You’ll walk in excited to scale our Claude-native operation.
• A CPTO/PM force-multiplier. You give senior PMs leverage, not overhead, and you operate as a true partner to the CPTO and the co-founders.

Required Qualifications

• 8+ years in Product Operations, PMO, or product/program leadership — including building or scaling a Product Ops function in a fast B2B SaaS org (cybersecurity a plus).
• Run delivery cadence across a multi-PM / multi-squad org; deep Jira fluency.
• Hands-on use of AI/automation to change how product work gets done.
• Fluent across the modern product stack: Pendo, Sigma/Snowflake-backed BI, Span (or DORA tooling), Jira, Confluence.
• NYC-based and comfortable in a high-velocity, high-accountability culture — you set the pace, you don’t wait for it.
• You need to be fluent in Claude and other AI tools. If you are not, please do not apply.

How you’ll fit at SecurityScorecard

We value urgency, ownership, and people who’d rather break the wall than file a ticket about it — the same instinct behind “do it in five days” and forums like Product Court. There’s a real, healthy tension here between speed and operating maturity; your job is to add the maturity without killing the speed. If reading this made you impatient to start fixing things that’s a great signal.

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $325,000 - $350,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law.

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law.

SecurityScorecard does not accept unsolicited resumes from employment agencies. Please note that we do not provide immigration sponsorship for this position.

#LI-DNI

Description

Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - creating a smoother, more fan-friendly experience.

Founded in 2021 by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser, we’ve raised $60 million from top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures. Our platform powers teams across the NBA, WNBA, and NWSL helping them boost ticket sales and deliver innovative fan experiences.

We’re a remote-first team driven by core values - begin and build with trust, play like the underdog, win as a team, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you.

The Role

Jump’s data platform is at an inflection point. What started as an internal capability now powers the analytics and insights our clients rely on every day. We’re turning it into a full product: scalable, multi-tenant data infrastructure, an expanding library of integrations pulling from a growing set of first- and third-party data sources, and an AI intelligence layer that transforms raw data into actionable decisions.

As Data Platform Lead, you’ll own the vision and execution of that platform. You’ll lead and grow our data engineering team, partner closely with our AI engineer to shape how agents and LLMs consume and act on our data, and work across Product, Engineering, and go-to-market teams to build something that scales — not a series of one-off implementations. The platform you build here will become core infrastructure for how our clients run their business.

What You’ll Do

• Own the data platform strategy end-to-end — from ingestion architecture and scalable, multi-tenant data infrastructure to transformation pipelines, a modern BI layer, and how the platform grows as we add clients and data sources.

• Drive the AI-on-data layer. Partner with our AI engineer to define how agents and LLMs access, query, and act on platform data — semantic models, retrieval patterns, and in-warehouse AI primitives.

• Build and productize our integrations motion — ingesting data from a growing set of first- and third-party sources. Turn what today requires custom work into a repeatable, operable pattern.

• Lead and develop our data engineering team. You’ll manage directly, set technical direction, and raise the bar on quality — starting with a tight-knit team with room to grow.

• Define the engineering standards for the data org — CI/CD, testing, infra-as-code, data lineage, governance, and observability — so the platform scales without fragility.

• Be a strong hands-on presence on the warehouse and transformation layer — fluent enough in Snowflake to contribute meaningfully alongside the team, not just oversee it.

• Partner with go-to-market teams to define what great looks like for client onboarding and data delivery, and drive engineering execution against that bar.

What We’re Looking For

• 8+ years in data engineering, with at least 2 years in a leadership role — you have a proven track record of managing and developing engineers

• Strong people management instincts: clear communicator, good at developing talent, comfortable giving direct feedback, and able to build a high-performance culture even with a small team.

• Hands-on experience with a modern cloud data warehouse and transformation stack — Snowflake + dbt strongly preferred; Redshift, Databricks, or BigQuery with a fast ramp is acceptable.

• Proven experience building AI on top of structured data — semantic layers, agent/LLM access patterns to warehouses, or retrieval-augmented generation.

• Deep expertise in data ingestion at scale — you’ve built or owned the systems that pull from many disparate sources into a warehouse. You know when to use an off-the-shelf connector, when to build, and how to make either one operable at scale.

• Experience building and shipping a productized, multi-tenant data offering — client isolation, onboarding flows, SLAs, and ongoing support. You think in products, not projects.

• Solid engineering fundamentals: version control, code review, CI/CD, infra-as-code — and a bias toward standards that teams can repeat, not heroics that only you can maintain.

Nice to Haves

• Direct Snowflake + dbt experience, and familiarity with advanced in-warehouse AI capabilities and agent-accessible data patterns.

• ML or MLOps experience — feature stores, training pipelines, model evaluation — and a track record of building tools that extract measurable value from data.

• AWS fluency — we run on AWS, and comfort with IAM, S3, Lambda, and Glue is a plus.

• Experience with modern BI tooling and self-serve analytics delivery.

• Background in sports, live events, or time-series data; experience with EU data residency, GDPR, or multi-region warehouse patterns.

Attributes that will make you successful on our team

• A strong desire to learn. You continually look for ways to build your skills.

• Tenacity. You enjoy working on challenges that others can’t or don’t want to tackle and you aren’t afraid of failing fast in order to find better solutions.

• Passion. You love using your technical skills to build products that solve real problems. You hold yourself to a high standard and help to elevate others as well.

• Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up, and these diverse perspectives enrich both our team and our product.

• Customer-centric mindset. You can understand the problem to be solved and who we are solving it for.

• Innovation: Passion for exploring and implementing AI technologies to enhance automation, optimize workflows, and drive innovation

Benefits

• Remote first

• Competitive salary and equity

• Flex PTO policy

• 401(k)

• Generous medical, dental and vision plans

• 16 weeks paid parental leave for primary and secondary caregivers

• $1,000 reimbursement for work-from-home tech setup

• Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel

Compensation

Compensation is something we don’t want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenets of our compensation philosophy are fairness and transparency.

We have established a standardized leveling framework based on job scope and responsibilities. The compensation package for each level is standard across all engineering roles. This means that every person at a certain level is paid the same as everyone else, regardless of their background, previous compensation, location, or any other factor.

The compensation for this role is $210,000 and includes a generous equity package.

Application

Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! There’s a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply, including women, nonbinary folx, people of color, members of the LGBTQ community, veterans, and people with disabilities. We’re committed to building an inclusive workplace where everyone can bring their authentic self and thrive, and we value the diversity brought by different life experiences.

Description

Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - creating a smoother, more fan-friendly experience.

Founded in 2021 by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser, we’ve raised $60 million from top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures. Our platform powers teams across the NBA, WNBA, and NWSL helping them boost ticket sales and deliver innovative fan experiences.

We’re a remote-first team driven by core values - begin and build with trust, play like the underdog, win as a team, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you.

The Role

Jump’s data platform is at an inflection point. What started as an internal capability now powers the analytics and insights our clients rely on every day. We’re turning it into a full product: scalable, multi-tenant data infrastructure, an expanding library of integrations pulling from a growing set of first- and third-party data sources, and an AI intelligence layer that transforms raw data into actionable decisions.

As Data Platform Lead, you’ll own the vision and execution of that platform. You’ll lead and grow our data engineering team, partner closely with our AI engineer to shape how agents and LLMs consume and act on our data, and work across Product, Engineering, and go-to-market teams to build something that scales — not a series of one-off implementations. The platform you build here will become core infrastructure for how our clients run their business.

What You’ll Do

• Own the data platform strategy end-to-end — from ingestion architecture and scalable, multi-tenant data infrastructure to transformation pipelines, a modern BI layer, and how the platform grows as we add clients and data sources.

• Drive the AI-on-data layer. Partner with our AI engineer to define how agents and LLMs access, query, and act on platform data — semantic models, retrieval patterns, and in-warehouse AI primitives.

• Build and productize our integrations motion — ingesting data from a growing set of first- and third-party sources. Turn what today requires custom work into a repeatable, operable pattern.

• Lead and develop our data engineering team. You’ll manage directly, set technical direction, and raise the bar on quality — starting with a tight-knit team with room to grow.

• Define the engineering standards for the data org — CI/CD, testing, infra-as-code, data lineage, governance, and observability — so the platform scales without fragility.

• Be a strong hands-on presence on the warehouse and transformation layer — fluent enough in Snowflake to contribute meaningfully alongside the team, not just oversee it.

• Partner with go-to-market teams to define what great looks like for client onboarding and data delivery, and drive engineering execution against that bar.

What We’re Looking For

• 8+ years in data engineering, with at least 2 years in a leadership role — you have a proven track record of managing and developing engineers

• Strong people management instincts: clear communicator, good at developing talent, comfortable giving direct feedback, and able to build a high-performance culture even with a small team.

• Hands-on experience with a modern cloud data warehouse and transformation stack — Snowflake + dbt strongly preferred; Redshift, Databricks, or BigQuery with a fast ramp is acceptable.

• Proven experience building AI on top of structured data — semantic layers, agent/LLM access patterns to warehouses, or retrieval-augmented generation.

• Deep expertise in data ingestion at scale — you’ve built or owned the systems that pull from many disparate sources into a warehouse. You know when to use an off-the-shelf connector, when to build, and how to make either one operable at scale.

• Experience building and shipping a productized, multi-tenant data offering — client isolation, onboarding flows, SLAs, and ongoing support. You think in products, not projects.

• Solid engineering fundamentals: version control, code review, CI/CD, infra-as-code — and a bias toward standards that teams can repeat, not heroics that only you can maintain.

Nice to Haves

• Direct Snowflake + dbt experience, and familiarity with advanced in-warehouse AI capabilities and agent-accessible data patterns.

• ML or MLOps experience — feature stores, training pipelines, model evaluation — and a track record of building tools that extract measurable value from data.

• AWS fluency — we run on AWS, and comfort with IAM, S3, Lambda, and Glue is a plus.

• Experience with modern BI tooling and self-serve analytics delivery.

• Background in sports, live events, or time-series data; experience with EU data residency, GDPR, or multi-region warehouse patterns.

Attributes that will make you successful on our team

• A strong desire to learn. You continually look for ways to build your skills.

• Tenacity. You enjoy working on challenges that others can’t or don’t want to tackle and you aren’t afraid of failing fast in order to find better solutions.

• Passion. You love using your technical skills to build products that solve real problems. You hold yourself to a high standard and help to elevate others as well.

• Empathy. You thrive in an environment where everyone can truly be themselves. You understand that our differing life experiences influence who we are and how we show up, and these diverse perspectives enrich both our team and our product.

• Customer-centric mindset. You can understand the problem to be solved and who we are solving it for.

• Innovation: Passion for exploring and implementing AI technologies to enhance automation, optimize workflows, and drive innovation

Benefits

• Remote first

• Competitive salary and equity

• Flex PTO policy

• 401(k)

• Generous medical, dental and vision plans

• 16 weeks paid parental leave for primary and secondary caregivers

• $1,000 reimbursement for work-from-home tech setup

• Company-paid sustainability subscription to ensure carbon neutrality is maintained for employee activities, such as travel

Compensation

Compensation is something we don’t want our candidates or employees to worry about. Our goal is to offer competitive salaries that are regularly benchmarked against the market. The core tenets of our compensation philosophy are fairness and transparency.

We have established a standardized leveling framework based on job scope and responsibilities. The compensation package for each level is standard across all engineering roles. This means that every person at a certain level is paid the same as everyone else, regardless of their background, previous compensation, location, or any other factor.

The compensation for this role is $210,000 and includes a generous equity package.

Application

Some candidates may see the requirements and feel unsure that they match all the criteria. We encourage you to apply! There’s a good chance you have important skills that we have not stated. We especially encourage members of traditionally underrepresented communities to apply, including women, nonbinary folx, people of color, members of the LGBTQ community, veterans, and people with disabilities. We’re committed to building an inclusive workplace where everyone can bring their authentic self and thrive, and we value the diversity brought by different life experiences.

The Role

This is an exciting role at the intersection of business building, AI First thinking, and product development. As a Chief of Staff you operate in founding mode. You will work closely with the CEO and Founder with a clear mandate: identify, design, and drive AI powered growth opportunities.

You will develop a deep understanding of market workflows, client needs, and untapped growth potential. You will translate those insights into concrete product requirements, priorities and compelling business cases. From discovery and prototyping through to go-to-market execution, you own the full arc.

What You’ll Do

Evaluate growth options strategically:

• You assess which AI-powered opportunities are genuinely relevant for Alasco - product innovations, AI-native workflows or Real Estate specific solutions. You cut through the noise quickly, identify where real potential lies, and form concrete, decision-ready views.

Run continuous discovery:

• This involves talking directly with real-world users and clients to understand workflows, constraints, and failure modes. You work in close collaboration with our Engineering and Product teams.

Own AI use cases:

• From discovery to rollout, you define, prioritize, and ship AI features with clear success criteria. You experiment hands-on with AI and don’t rely on engineering to explain what a model can do. You prompt, test, evaluate outputs, and bring those insights directly into product decisions.

Track the ecosystem:

• You monitor adjacent developments, competitor moves, client signals, and relevant research to align with positioning and pricing.

Align stakeholders around explicit trade-offs:

• You keep Product, Design, Engineering, Management, and Go-to-Market aligned. You define metrics for outcomes, quality, and adoption - and you steer by them.

What You Bring

• 3-5 years of experience in a high-performance environment like strategy consulting, venture capital, a high-growth start up, or you have founded something yourself.
• Proven end-to-end product ownership experience or equivalent responsibility in B2B SaaS business operating in complex, high-stakes domains.
• Technical background and mindset, including the ability to work with complex technical systems, and hands-on coding experience is a strong plus.
• The ability to manage ambiguity: you turn unclear, open-ended problems into structured plans and concrete next steps.
• Truly AI native: you use AI tools every day and are energized by the opportunity to develop our entire organization’s AI capabilities.
• Precise, confident communication in both fluent German and English. You make decisions, stand behind them, and create clarity for the team - even when the answer is uncomfortable.

Why Alasco

• ESOP: You participate in Alasco’s long-term success.
• AI-first, not AI-washed - we are building AI into the core of our product, not bolting it on as a feature.
• Munich HQ with a hybrid-friendly culture and a team that takes craft seriously.
• Workation: Up to 4 weeks per year.
• Vacation: 28 days off to recharge.
• Navit or Wellpass: €40/month subsidy for mobility, fitness, and wellbeing.
• Company & team events: Regular offsites, team get-togethers, and moments worth celebrating.
• A product problem space that is genuinely hard and genuinely worth solving.

About Alasco

Real estate is one of the world’s largest, most capital-intensive and least digitized industries. We’re changing that. Alasco is building the leading AI Platform for Real Estate, purpose-built for an era in which AI fundamentally reshapes how decisions are made. If you want to work where technological possibility has a direct seat at the decision-making table, this is your place.

We ship AI and software that is already in production today, making investment and construction decisions measurably better for our customers. And we’re just getting started.

We welcome applications from all people. Regardless of gender, origin, religion, age, sexual orientation, or disability. And if you don’t meet every single point 100%, apply anyway.

About ClickHouseRecognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit...

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit...

About Us

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

About This Position:

As a Principal Product Manager for Agentic AI Platform at G-P, you will play a pivotal role in shaping our Agentic AI strategy and driving the success of platform capabilities that enable AI-powered experiences across our products and operations. You will work at the intersection of AI, platform services, developer experience, security, data, and enterprise SaaS.

You will be expected to define how agents, tools, APIs, workflows, evaluation frameworks, permissions, and governance models come together to create reliable, secure, and scalable AI capabilities. This is a platform product role with a strong AI focus. The ideal candidate has deep platform product management experience, strong curiosity about AI, and the ability to translate emerging technology into practical product outcomes.

What you will do:

• Lead the end-to-end lifecycle of Agentic AI platform capabilities, from strategy and discovery to roadmap, execution, launch, adoption, and continuous improvement.
• Define and drive key AI platform capabilities, including agents, tools, action interfaces, API integrations, orchestration patterns, evaluation frameworks, observability, guardrails, and human-in-the-loop workflows.
• Partner with engineering, data, security, and product teams to build scalable AI-powered capabilities using cloud-native, SaaS, microservices, serverless, and event-driven architectures.
• Own the product strategy for how agents answer questions, assist users, take actions, access data, use tools, and safely interact with business systems.
• Work with business product teams to identify and prioritize high-value agentic use cases across customer experience, professional experience, reporting, onboarding, compliance, support, and internal operations.
• Drive a platform approach for AI by creating reusable patterns, shared capabilities, clear standards, and developer-friendly interfaces that can be adopted across multiple teams and products.
• Define AI quality and evaluation requirements, including golden datasets, test cases, pass/fail criteria, trace reviews, regression testing, and production monitoring.
• Collaborate with identity, security, and platform teams to ensure agentic actions follow proper authentication, authorization, permissions, auditability, privacy, and compliance controls.
• Drive a developer-centric approach for Agentic AI platform services by improving discoverability, documentation, onboarding, usability, and adoption for internal product and engineering teams.
• Use AI-powered tools in your own product workflow to improve discovery, analysis, documentation, prioritization, decision-making, and execution.
• Work with cross-functional stakeholders to align priorities, gather requirements, manage trade-offs, and ensure successful adoption of AI platform capabilities.
• Drive KPIs that reflect real-world AI and platform impact, including adoption, task completion, answer quality, automation success, deflection, operational efficiency, satisfaction, and reliability.

What we are looking for:

Minimum Requirements:

• Experience: 15+ years of product management experience, including owning and driving large-scale technology platforms, AI products, developer-facing products, or enterprise SaaS capabilities across multiple lifecycle stages.
• Agentic AI Product Thinking: Strong understanding of how AI, LLMs, agents, tools, workflows, automation, and orchestration can be applied to enterprise SaaS products. Ability to think beyond chatbot experiences and define how AI can help users complete meaningful tasks and business outcomes.
• AI Quality and Governance: Familiarity with AI evaluation methods such as golden datasets, test suites, trace analysis, human review, LLM-as-a-judge, regression testing, and production monitoring. Strong awareness of AI risks around accuracy, privacy, security, explainability, permissions, and compliance.
• Technical Depth: Deep familiarity with cloud platforms, SaaS business models, microservices, serverless computing, event-driven architectures, API-first design, data integrations, and modern enterprise architecture. Ability to translate technical possibilities into product outcomes.
• Platform Product Management: Strong platform mindset with experience creating reusable capabilities, standards, interfaces, and services that support multiple product teams and business use cases.
• Developer Experience: Ability to build platform services with empathy for developers, including onboarding, authentication, documentation, observability, service discoverability, and lifecycle needs. Prior experience with Internal Developer Portals such as Backstage is a plus.
• Identity, Security, and Access Control: Experience with authentication, authorization, role-based access, policy-based access, API security, OpenAPI, or platform security workflows is highly desirable.
• Internal Stakeholder Collaboration: Demonstrated ability to work closely with internal customers, especially PMs and engineering leaders of business applications. Skilled in building strong relationships, understanding needs, and creating alignment.
• Prioritization and Decision-Making: Excellent skills in managing and prioritizing requirements in situations with conflicting needs, ambiguity, emerging technology, and platform dependencies.
• Execution Rigor: High ownership mindset. Ability to balance long-term vision with short-term wins. Comfortable driving specs, writing docs, aligning teams, and getting into details.
• Effective Communication: Outstanding communication skills, with the ability to explain complex AI and platform concepts clearly to technical, business, and executive audiences.
• Documentation and Requirements: Expertise in creating clear PRDs, strategy documents, product briefs, specifications, and operating models.
• Strategic and Analytical Thinking: Strong problem-solving ability and strategic thinking. Proficient in analyzing market trends, user feedback, platform usage, and AI performance data to inform product strategy.
• Data-Driven Approach: Proficiency in defining and tracking KPIs and metrics to measure AI quality, platform adoption, user satisfaction, automation success, and business impact.
• Agile Methodologies: Experience with Agile and Scrum methodologies, fostering a culture of continuous improvement and adaptability.
• Educational Background: Solid technical foundation, preferably with a degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees such as M.S. or MBA are a plus.

Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:

• Sales Roles: This position is eligible for a commission structure in addition to base salary.
• Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.

Benefits

G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more.

Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:

G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here:Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here:Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job.

G-P. Global Made Possible.

G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.

G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.

About Us

Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.

The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.

At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.

About This Position:

As a Principal Product Manager for Agentic AI Platform at G-P, you will play a pivotal role in shaping our Agentic AI strategy and driving the success of platform capabilities that enable AI-powered experiences across our products and operations. You will work at the intersection of AI, platform services, developer experience, security, data, and enterprise SaaS.

You will be expected to define how agents, tools, APIs, workflows, evaluation frameworks, permissions, and governance models come together to create reliable, secure, and scalable AI capabilities. This is a platform product role with a strong AI focus. The ideal candidate has deep platform product management experience, strong curiosity about AI, and the ability to translate emerging technology into practical product outcomes.

What you will do:

• Lead the end-to-end lifecycle of Agentic AI platform capabilities, from strategy and discovery to roadmap, execution, launch, adoption, and continuous improvement.
• Define and drive key AI platform capabilities, including agents, tools, action interfaces, API integrations, orchestration patterns, evaluation frameworks, observability, guardrails, and human-in-the-loop workflows.
• Partner with engineering, data, security, and product teams to build scalable AI-powered capabilities using cloud-native, SaaS, microservices, serverless, and event-driven architectures.
• Own the product strategy for how agents answer questions, assist users, take actions, access data, use tools, and safely interact with business systems.
• Work with business product teams to identify and prioritize high-value agentic use cases across customer experience, professional experience, reporting, onboarding, compliance, support, and internal operations.
• Drive a platform approach for AI by creating reusable patterns, shared capabilities, clear standards, and developer-friendly interfaces that can be adopted across multiple teams and products.
• Define AI quality and evaluation requirements, including golden datasets, test cases, pass/fail criteria, trace reviews, regression testing, and production monitoring.
• Collaborate with identity, security, and platform teams to ensure agentic actions follow proper authentication, authorization, permissions, auditability, privacy, and compliance controls.
• Drive a developer-centric approach for Agentic AI platform services by improving discoverability, documentation, onboarding, usability, and adoption for internal product and engineering teams.
• Use AI-powered tools in your own product workflow to improve discovery, analysis, documentation, prioritization, decision-making, and execution.
• Work with cross-functional stakeholders to align priorities, gather requirements, manage trade-offs, and ensure successful adoption of AI platform capabilities.
• Drive KPIs that reflect real-world AI and platform impact, including adoption, task completion, answer quality, automation success, deflection, operational efficiency, satisfaction, and reliability.

What we are looking for:

Minimum Requirements:

• Experience: 15+ years of product management experience, including owning and driving large-scale technology platforms, AI products, developer-facing products, or enterprise SaaS capabilities across multiple lifecycle stages.
• Agentic AI Product Thinking: Strong understanding of how AI, LLMs, agents, tools, workflows, automation, and orchestration can be applied to enterprise SaaS products. Ability to think beyond chatbot experiences and define how AI can help users complete meaningful tasks and business outcomes.
• AI Quality and Governance: Familiarity with AI evaluation methods such as golden datasets, test suites, trace analysis, human review, LLM-as-a-judge, regression testing, and production monitoring. Strong awareness of AI risks around accuracy, privacy, security, explainability, permissions, and compliance.
• Technical Depth: Deep familiarity with cloud platforms, SaaS business models, microservices, serverless computing, event-driven architectures, API-first design, data integrations, and modern enterprise architecture. Ability to translate technical possibilities into product outcomes.
• Platform Product Management: Strong platform mindset with experience creating reusable capabilities, standards, interfaces, and services that support multiple product teams and business use cases.
• Developer Experience: Ability to build platform services with empathy for developers, including onboarding, authentication, documentation, observability, service discoverability, and lifecycle needs. Prior experience with Internal Developer Portals such as Backstage is a plus.
• Identity, Security, and Access Control: Experience with authentication, authorization, role-based access, policy-based access, API security, OpenAPI, or platform security workflows is highly desirable.
• Internal Stakeholder Collaboration: Demonstrated ability to work closely with internal customers, especially PMs and engineering leaders of business applications. Skilled in building strong relationships, understanding needs, and creating alignment.
• Prioritization and Decision-Making: Excellent skills in managing and prioritizing requirements in situations with conflicting needs, ambiguity, emerging technology, and platform dependencies.
• Execution Rigor: High ownership mindset. Ability to balance long-term vision with short-term wins. Comfortable driving specs, writing docs, aligning teams, and getting into details.
• Effective Communication: Outstanding communication skills, with the ability to explain complex AI and platform concepts clearly to technical, business, and executive audiences.
• Documentation and Requirements: Expertise in creating clear PRDs, strategy documents, product briefs, specifications, and operating models.
• Strategic and Analytical Thinking: Strong problem-solving ability and strategic thinking. Proficient in analyzing market trends, user feedback, platform usage, and AI performance data to inform product strategy.
• Data-Driven Approach: Proficiency in defining and tracking KPIs and metrics to measure AI quality, platform adoption, user satisfaction, automation success, and business impact.
• Agile Methodologies: Experience with Agile and Scrum methodologies, fostering a culture of continuous improvement and adaptability.
• Educational Background: Solid technical foundation, preferably with a degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees such as M.S. or MBA are a plus.

Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:

• Sales Roles: This position is eligible for a commission structure in addition to base salary.
• Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.

Benefits

G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more.

Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:

G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here:Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here:Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job.

G-P. Global Made Possible.

G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.

G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.

Company Description

About us

Passion for food. Hunger for tech. We make METRO digital.

Today technology is driving the world. And at METRO.digital we are driving the technology for one of the leading international wholesalers specializing in food – METRO. From e-commerce to checkout, to delivery software, we work on a wide range of products to make each day a success for our customers and colleagues. With passion and ownership, we build the future of wholesale.

Are you driven to create smart solutions for customers around the globe? You want to grow in a flexible environment? Let the right career opportunity find you and join us!

Purpose of the role

The Chapter Area Lead for Operations and Checkout Tech drives functional excellence and capability development across all four Chapters in its area – spanning in-store operations technology, checkout systems engineering, and solution management for customer invoice and payment. They ensure alignment with METRO’s strategic goals, standards, and ways of working. Acting as a key enabler with deep technical knowledge in retail operations and checkout domains, they support the Platform Leads of the Operations Platform and the Customer Invoice and Payment Platform with expert advice and emphasize the value of cross-functional collaboration between business, tech, and countries.

As Chapter Area Lead, you will oversee a large community of professionals, both internal and external FTEs organized across four Chapters and two Business Platforms:

• Platform Operations – covering in-store operations technology, stock management, and operational processes
• Platform Customer Invoice and Payment – covering checkout engineering, payment flows, and invoicing solutions

How you will make an impact

As Chapter Area Lead for Operations and Checkout Tech, you shape the engineering and solution management backbone of METRO’s in-store experience. Your work directly enables METRO’s stores in 20+ countries to operate efficiently – from the moment goods arrive in the store to the moment a customer pays at checkout.

You will lead four Chapters that build and maintain the technology powering:

• In-store operations platforms: stock visibility, ordering, inventory, and store execution tooling used daily by METRO store staff
• Checkout and payment systems: POS engineering, self-checkout technology, and checkout flow optimization across METRO’s global markets
• Customer Invoice and Payment solutions: end-to-end invoice generation, payment processing, and financial document management for B2B wholesale customers
• Cross-cutting solution management: end-to-end coordination with external partners and internal squads for outsourced operational solutions

You unify these Chapters under a coherent technical direction, remove functional blockers, and ensure that your Chapter Leads and their teams can deliver with speed, quality, and alignment to METRO’s Grand Slam objectives.

Job Description

Lead the Chapter Area – Operations and Checkout Tech

• Be accountable for the continuous development and functional mastery of all four Chapters within your Chapter Area: Operations Engineering, Checkout Engineering, Operations & Checkout Engineering, and Operations & Checkout Solution Management
• Ensure the Chapter Area adheres to METRO-wide standards in tooling, methodology, and governance, aligned with ABR/QBR processes
• Translate functional priorities – including those specific to POS systems, checkout flows, and operations platform architecture – into enablement initiatives for Skill Chapter Leads
• Align Chapter Area contribution to METRO’s Grand Slam objectives and support strategic initiatives across the Operations and Customer Invoice & Payment platforms
• Act as the main point of contact for technical expertise in operations and checkout domains, supporting Platform Leads and Squad Leads
• Foster a strong culture of learning, innovation, and transparency across central and local IT functions, particularly bridging the large Romania-based engineering community (101 FTE) with Germany-based and METRO global teams

Drive People & Capability Development

• Act as the disciplinary line manager for the four Skill Chapter Leads: Operations Engineering, Checkout Engineering, Operations & Checkout Engineering, and Operations & Checkout Solution Management
• Ensure skilled resources are available for staffing into squads across the Operations and Customer Invoice & Payment platforms, including management of the significant external workforce (~81 EXT FTE)
• Lead Skill Chapter Leads by example, coaching them to build capabilities in checkout engineering, POS technologies, operational tooling, and payment processing aligned with METRO’s harmonization and standardization goals
• Identify skill gaps – especially in emerging areas such as self-checkout, real-time inventory, and B2B payment innovation – and support recruiting, upskilling, and internal mobility in collaboration with People & Culture
• Oversee the stabilization and filling of the open Chapter Lead position in Operations & Checkout Engineering as a near-term priority

Promote Functional Alignment & Communication

• Represent the Chapter Area in TOM governance and other METRO forums (e.g., Grand Slam, Platform Syncs, ABR/QBR)
• Serve as a functional bridge between METRO Digital, MAG, and country teams, ensuring clarity on ownership in checkout and operations technology decisions
• Actively resolve delivery risks and blockers related to resources and capabilities, including the management of 4 temporary positions within Operations & Checkout Solution Management
• Promote agile ways of working and drive mindset shift across Skill Chapter Leads and teams, with particular focus on the multicultural, multi-location setup across Germany, Romania, and METRO global

Stakeholder Management

• Collaborate with other Chapter Area Leads and Platform Leads (Operations Platform and Customer Invoice & Payment Platform) to align on strategic initiatives and drive business goals
• Act as the technical counterpart to Business Platform Leads, providing expert advice on checkout and operations engineering topics, tooling decisions, and build-vs-buy trade-offs
• Ensure Solution Management Chapter Leads coordinate effectively with external partners for outsourced end-to-end solutions, with support from dedicated Skill Chapter Leads

Qualifications

• Minimum 4 years of leadership experience in IT or software environments, ideally with exposure to retail technology, POS systems, or operations platforms
• Proven background in a scaled agile setup with technology and business focus
• Experience in setting and maintaining functional standards in engineering or solution management disciplines
• Exposure to defining training programs and enablement roadmaps for technical teams
• Hands-on involvement in aligning methodologies across distributed, multi-location teams
• Demonstrated ability to operate in global, matrixed organizations, including managing a significant share of external contractors
• Strong strategic leadership and stakeholder management skills, with the ability to align engineering capabilities in checkout, operations, and payment solutions to business and platform objectives.
• Proven ability to lead and coach distributed, multicultural teams through collaboration, mentoring, and non-hierarchical leadership approaches.
• Solid technical and business acumen across retail operations technology, checkout engineering, and B2B payment ecosystems, balancing technical excellence with customer and business value.
• Results-oriented mindset focused on continuous improvement, delivery quality, operational reliability, and capability growth within large-scale engineering organizations.

Functional Skills

• Expertise in agile frameworks and methodologies applied to checkout, operations, or retail tech contexts
• Strong capability in functional training and enablement, particularly for engineering and solution management communities
• Technical fluency in one or more of: POS and checkout systems, in-store operations technology, B2B invoicing and payment platforms, or retail ERP/WMS integrations
• Ability to define and enforce functional standards across engineering and solution management chapters
• Knowledge of industry trends in retail tech: self-checkout, RFID-based stock management, real-time payment processing, and omnichannel operations
• High-level understanding of tooling, governance, and quality assurance in multi-team engineering environments
• Capacity planning and workforce management including external FTE oversight (~80 EXT across the Chapter Area)
• Cross-functional alignment and stakeholder management across tech, business, and country functions
• Ability to lead large expert communities (~140 professionals) across multiple locations (Germany, Romania, global METRO)
• Experience in translating strategy into functional execution within platform-oriented organizations
• Strong coaching and mentoring skills, particularly in developing Chapter Leads from senior engineers into people leaders

Additional Information

Additional information

This resonates with you? Apply now!

What we offer at METRO.digital?

• Hybrid and agile work: thrive in a flexible, multicultural environment.

At METRO.digital, we promote work-life balance through a hybrid working model. You’ll be part of self-organizing, multicultural teams that collaborate in an agile setup.

• People development: when you grow so do we!

We want you to become the best version of yourself with individual and company-wide programs and trainings for people development. Focused among other on development, leadership, appreciation … it´s time to upskill your career.

• Support with individual solutions: we are people-caring!

We offer support whenever you need it - at every stage of your professional journey.

Want to know more about all our benefits? Discover more here.

Let´s connect soon. Apply for the role now!

Position grade within our career framework: Chapter Area Lead Md10

About airSlate

airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - **SignNow, pdfFiller, DocHub, altaFlow, Instapage,** and US Legal Forms - serve over hundreds of millions of  users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.

We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines.

At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.

About your team:

We are a passionate and ambitious team of 140+ people on a mission to succeed with our award-winning signature solution –  SignNow.

SignNow empowers over 28 million people at companies across the world to move fast with everything they need to send and eSign their documents. Increase productivity with document workflows, impress customers, and save money while maximizing ROI with SignNow.

We’re looking for an engineer-first quality leader. Someone who came up through AQE or principal engineering, thinks in systems, and is genuinely excited about what agentic AI means for quality.

You’ll lead a team of 6-10 Automation Quality Engineers, own our existing automation estate, and drive a deliberate transition toward agentic quality engineering. Deterministic pipelines today, autonomous test agents tomorrow.

What you’ll own:

• Quality architecture. Frameworks, toolchain, and the roadmap from traditional automation to agentic solutions. You define how quality is built into the system, not bolted on at the end.
• A team of 6-10 AQEs. Mentoring, technical direction, and running hands-on pilots alongside them as the team evolves into the agentic era.
• The existing test automation framework (Java/JS · Selenium · Playwright). Keeping it healthy while evolving it; refactoring what needs it, retiring what doesn’t.
• Agentic QE design. Partnering with engineering leaders to co-design deterministic agent workflows and non-deterministic (LLM-assisted) approaches, with clear human-in-the-loop governance where it matters.
• Observability and reporting tooling. Coverage dashboards, flakiness detection, CI quality gates - the visibility layer engineers actually trust.
• Testing AI-powered features. Behavioral validation, non-deterministic regression, and output evaluation for the product’s own agentic capabilities.
• Internal tooling. Building tools that make the broader engineering org faster and more quality-conscious, not just the QE team.

What you’ll need:

• 7+ years in software engineering, AQE, or SDET with a clear arc toward quality leadership
• 5+ years hands-on with Java and/or JavaScript/TypeScript, deep enough to design novel solutions, not just configure existing ones
• 3+ years leading AQE or engineering teams hands-on, running pilots, driving adoption, and getting their hands dirty alongside the team
• Strong automation architecture chops: you design frameworks, not just write tests
• Proven experience driving quality initiatives and change management across engineering teams
• Hands-on experience with AI-assisted testing tools in production
• Familiarity with agentic/LLM concepts: evaluating model outputs, handling non-determinism, and agent orchestration patterns
• CI/CD integration, shift-left thinking, and quality-by-design fluency
• English B2+

The right person for this role doesn’t come from QA management. They come from engineering. They’ve been the de-facto quality authority on their team before having the title. They can whiteboard quality architecture with platform engineers, drive an agentic pilot with their team the next day, and review a PR the day after that.

If quality in the agentic era is what gets you out of bed, let’s talk.

What we offer

Flexible working environment- Our teams operate across the globe. We value in‑person collaboration in our hubs, but we also embrace remote and hybrid working. You can work from one of our offices in the United States, Poland, Romania or Ukraine, or remotely from many countries.

Competitive compensation and stock options- We offer salaries that reflect local market conditions and experience,  plus a performance-based bonus system and stock options so you share in the company’s growth.

Professional growth and learning - We invest in your development through courses, conferences, and access to learning resources. We encourage career growth and internal mobility, supporting teammates who want to explore new opportunities within airSlate.

Health and well‑being - We provide comprehensive benefits tailored to each country, including health coverage, wellness programmes and access to fitness options. We also dedicate quarterly company-wide Mental Health Days, when everyone takes time off to rest and recharge.

Family‑friendly culture - Family life is part of who we are, and we embrace it in many forms. From flexibility for parents to our airSlate Junior Club for kids, to company-wide family days and our pet-friendly approach, we’re committed to making work and life easier to balance.

Giving back - We support charitable initiatives around the world through the airSlate Care programme. Our current focus includes humanitarian aid in Ukraine and other regions, matching employee donations and supporting causes chosen by our teams.

Open communication - We encourage transparent dialogue at all levels. From team discussions to company-wide Q&A sessions with our CEO, we make sure everyone has the chance to be heard and to influence how we grow.

It is airSlate’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. airSlate’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. airSlate is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, airSlate will consider for employment qualified applicants with arrest and conviction records.

Read ourRecruitment Privacy Noticeto Learn how we process your personal information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Headquarters: United States - Remote

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

 

Overview

Instacart’s Agentic Commerce team is building innovative new AI Solutions such as Cart Assistant – an enterprise-grade, consumer shopping agent purpose-built for grocery. Cart Assistant will provide hyper-personalized conversational commerce experiences, helping millions of people discover products, plan what to eat, and shop in easier and more engaging ways than ever before. 

We’re looking for a Principal Product Manager to help bring Cart Assistant to life and make it a product that both consumers and retailers love. This is a fast paced, 0->1, highly visible product role working at the intersection of generative AI, consumer experience, and retailer-facing B2B e-commerce products.

In this role, you will immerse yourself in and deeply understand both consumer and retailer needs, as well as the latest and greatest available agentic technologies. You will partner closely with engineering, machine learning, data science, design and research teams to translate these needs and capabilities into a winning product strategy and a prioritized roadmap. You’ll lead execution, experimentation, and product delivery, working closely with retail partners and senior leadership. 

 

About the Job

• Set and own the roadmap, translating consumer and retailer needs into a clear vision, milestones, and launch plans


• Lead product discovery, uncover customer pain points and market opportunities, and partner with engineering and design to deliver solutions


• Drive measurable results including product adoption and engagement outcomes. Establish and maintain metrics, dashboards, and regular business reviews, using data insights to prioritize, de-risk, and accelerate the roadmap.


• Lead cross-functional execution with Engineering/ML/DS/Design to execute the roadmap, run rapid experiments, ship iterative improvements, and pivot based on learnings


• Partner with ML, model design, and content design to improve core agent performance and behavior using state-of-the-art methods


• Represent the product to senior leadership and external retail partners, communicating strategy, progress, learnings, and needs with clarity and conviction


• Work with business development, market strategy, and GTM teams to align product and GTM plans, maximizing market impact of launches and product advancements 


• Scale Cart Assistant across Instacart surfaces and products, driving top line business impact for Instacart and our retail partners

 

About You

Minimum Qualifications

• 8+ years of product management experience


• 5+ years of experience building and shipping consumer-facing commerce products end-to-end, with 2+ years building LLM-powered products in production 


• Proven track record launching at least one 0-to-1 product to general availability with measurable impact on adoption, conversion, revenue, or GTV


• Technical fluency with AI/ML systems and data flows; ability to partner with engineering and machine learning on dependencies and scope tradeoffs 


• Experience defining product OKRs, with significant experience using experimentation to improve products and achieve desired outcomes


• Exceptional communication and presentation skills with senior leadership and external enterprise partners


• Bachelor’s degree in a technical, quantitative, or related field, or equivalent practical experience

Preferred Qualifications

• Experience across both consumer products and B2B/enterprise offerings


• Background spanning startup and large company environments


• Domain expertise in ecommerce, retail, grocery, or marketplace dynamics


• Experience building or improving LLM agent systems and products


• Familiarity with experimentation at scale (A/B testing) and with trust, safety, privacy, and compliance considerations for GenAI products.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ$250,000—$264,000 USDWA$239,000—$252,500 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$230,000—$242,500 USDAll other states$209,000—$220,500 USD

To apply: https://weworkremotely.com/remote-jobs/instacart-principal-product-manager-agentic-commerce

|Current USA TODAY Co. Employees- Please ensure you are using our abbreviated process on the internal Careers site by logging into Dayforce through MyApps| USA TODAY Co.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.

As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You’ll drive development of autonomy features tailored for US’s road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.

We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.

This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that’s a major plus.

Key Responsibilities:

• Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.
• Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.
• Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
• Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.
• Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
• Establish close working relationships with our product and vehicle operations teams in the US.

About you

To be successful in this role, you’ll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.

Essential

• A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
• Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
• Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
• Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
• Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.
• Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.

Desirable

• Prior experience in autonomous vehicles or robotic systems operating at scale.
• Familiarity with US’s road environment, driving behaviour, or AV regulatory landscape.
• A strong foundation in machine learning and its application to real-time decision-making or perception systems.

This role is a full-time role based in Sunnyvale, CA  or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate’s skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  We operate core working hours so you can determine the schedule that works best for you and your team.

#LI-KM1

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The Role

We’re looking for an exceptional leader to spearhead our new Application Engineering team, a self-sufficient and high-impact group focused on localising and advancing our autonomous driving technology for the US market. This is a unique opportunity to shape Wayve’s AV capabilities in the US from the ground up.

As a founding manager, you’ll lead a small but mighty team of engineers working across robotics, machine learning, and systems integration. You’ll drive development of autonomy features tailored for US’s road infrastructure, cultural driving behaviours, and regulatory landscape, ensuring our AV stack performs safely and effectively in this highly distinctive environment.

We’re looking for someone who thrives in self-directed, startup-like conditions, capable of setting a vision, executing fast, and making robust decisions independently — while staying aligned with global engineering efforts.

This role requires breadth: strong experience across AV systems, including robotics and autonomy, is essential. If you also bring deep expertise in machine learning, that’s a major plus.

Key Responsibilities:

• Build and lead a self-sufficient AV development team in the US, hiring and mentoring top talent across Robotics and ML.
• Deliver autonomy capabilities tailored to road conditions and driving norms, in close collaboration with central Autonomy teams.
• Drive full-cycle development: from identifying local autonomy needs, to designing, implementing, testing, and deploying features into production.
• Ensure the team upholds Wayve’s high engineering standards, while operating with agility and independence.
• Work closely with OEM partners in the US — representing Wayve’s autonomy team in technical discussions, capturing product requirements, and shaping joint development plans.
• Establish close working relationships with our product and vehicle operations teams in the US.

About you

To be successful in this role, you’ll bring strong technical expertise, proven leadership skills, and a passion for building robust autonomous systems that can adapt to diverse real-world challenges.

Essential

• A strong background in robotics and autonomy, with experience building and deploying systems that operate in real-world environments.
• Demonstrated ability to lead and grow high-performing engineering teams, ideally in geographically distributed or independent settings.
• Comfortable with ambiguity: you can define goals, carve out roadmaps, and deliver high-impact work with minimal supervision.
• Broad technical fluency: capable of reviewing and guiding work across software engineering, ML, controls, and systems integration.
• Excellent communication skills: you’re able to clearly convey technical context and strategic vision across cultures and time zones.
• Strong product sense and stakeholder management skills: you’re comfortable interfacing directly with OEM customers and representing engineering in external-facing conversations.

Desirable

• Prior experience in autonomous vehicles or robotic systems operating at scale.
• Familiarity with US’s road environment, driving behaviour, or AV regulatory landscape.
• A strong foundation in machine learning and its application to real-time decision-making or perception systems.

This role is a full-time role based in Sunnyvale, CA  or Detroit (hybrid) and the reasonably estimated salary for this role ranges from $336,400 to $381,600, plus a competitive equity package. Actual compensation is based on the candidate’s skills, qualifications, and experience.

At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.  We operate core working hours so you can determine the schedule that works best for you and your team.

#LI-KM1

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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We are open to remote candidates based in the Americas time zones.

Zero is a small team inside Metalab.

We explore new tools, workflows, and ways of building products. We test ideas fast, validate what works, and feed learnings back to the broader org.

Half the effort is full-time R&D. The half we’re hiring for runs client projects to put the research to the test.

You run projects end-to-end: stakeholders, scope, budget, pace, ship on time. You push for velocity and clarity over process and ceremony. You feed back honestly to the people building the tools.

If a project works because you were there, that’s good. If it works because the system was there and you ran it well, that’s the point.

You’re curious, adaptable, and excited that project delivery is changing in real time.

This isn’t a shepherd-the-handoffs role. The agent infrastructure (Concretely: a stack of skills, agents, and feedback loops that triage requests, draft updates, summarize meetings, and handle the coordination work a project lead used to do by hand) is becoming our operating system — and you’re the one who improves it.

What You’ll Do

• Run client engagements end-to-end across web, mobile, AI-native, and emerging product surfaces
• Translate ambiguous briefs into structured delivery, working prototypes, and shipped product
• Collaborate closely with design and engineering leads on the work itself while not being afraid to own the delivery system around it
• Present work clearly to clients and internal teams, holding the line on scope, budget, and quality with honesty rather than ceremony
• Use AI tools and agents as a core part of your workflow to triage, draft, prioritize, summarize, and accelerate our Client’s outcomes
• Build, test and maintain skills, agents, and workflows like code — version them, improve them as the team’s taste sharpens, and feed honest learnings back to R&D

Requirements

• Project delivery experience at a digital product agency, studio, or consultancy, ideally in a Senior or Lead role
• Product delivery experience at a startup, scale-up, or large organization is excellent experience, as well
• Demonstrated mastery of running a project end-to-end — prioritization, sequencing, scope, dependencies, and the artifacts that keep design and engineering unblocked
• You don’t just use AI — you build with it. Likely in your personal life and hobby time. You’ve shipped skills, agents, or automated workflows that did real work and ran on their own.
• A bias toward owning the outcome, not just the plan — carrying product, user, and technical context across the team without letting threads drop
• Sharp judgment on what to ship next and what to cut, keeping the team focused on solving the right problem at the right time
• Passionate about staying ahead of how AI is changing product delivery, with a personal point of view on what’s working and what isn’t
• Happy working with R&D — taking ideas and prototypes out of experimentation, and folding the findings back into how the broader org delivers

Equal opportunity employer

Research shows that women and other marginalized groups tend to only apply for a job when they meet every single criteria. Does this role sound like it was made for you, yet you don’t check every box? Reach out anyways!  We’re an equal opportunity employer and are dedicated to fostering an inclusive and diverse environment for employees from all walks of life.  We hire based on talent, and we’re proud of our global perspective.