Senior Staff Product Manager, eCommerce

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Staff Product Manager, eCommerce based in the United States.

As a Senior Staff Product Manager, you will take ownership of a new e-commerce advertising product and guide it from early-stage development through beta and toward general availability. You will define the product strategy, business case, roadmap, success metrics, and launch criteria while operating with significant autonomy. Working closely with engineering, machine learning, finance, sales, and go-to-market teams, you will turn complex performance and customer insights into clear product decisions. You will also shape identity, attribution, measurement, and platform integrations that are fundamental to the product’s success. This is a senior individual-contributor role with substantial strategic influence and direct exposure to customers and partners. You will thrive in a fast-moving, 0-to-1 environment where disciplined experimentation, commercial judgment, and decisive execution are essential.

Accountabilities:

• Own the product strategy, quarterly objectives, success metrics, and business case, communicating progress, risks, and milestones to executive leadership and finance stakeholders.
• Define and manage the unit economics that determine launch readiness, using performance data to make informed decisions about scaling, pivoting, or stopping initiatives.
• Establish clear product priorities and make disciplined scope decisions, balancing the potential opportunity set against available team capacity.
• Partner with sales, go-to-market, and account teams to define ideal customer profiles, develop launch strategies, onboard customers, and translate customer feedback into roadmap priorities.
• Represent the product in customer discussions and strategic industry partnerships, building credibility with sophisticated advertisers, agencies, and other external stakeholders.
• Partner with engineering and machine learning teams to define experimentation roadmaps, evaluate A/B test results, and make data-driven go/no-go decisions.
• Analyze full-funnel performance from advertising impressions through site visits, add-to-cart activity, and purchases, identifying opportunities for optimization and further investigation.
• Establish traffic quality, creative experience, suppression, and inventory standards that protect advertiser outcomes and product performance.
• Own identity and attribution strategy, including consent management, regional privacy considerations, data protection, measurement methodology, and compliance requirements.
• Develop strategic technology partnerships and integrations that strengthen measurement, attribution, and product capabilities.
• Lead e-commerce platform integrations end-to-end, covering pixels, server-side event delivery, order attribution, catalog ingestion, and merchant-facing installation experiences.
• Defend and communicate the product’s attribution and incrementality methodology to sophisticated performance marketers and agencies.

Requirements:

• 8+ years of product management experience, including meaningful experience in performance advertising, such as DSPs, retargeting platforms, measurement/MMP products, ad networks, or e-commerce advertising.
• Deep practical knowledge of web and mobile identity and attribution, including probabilistic matching, IP and device signals, pixels, server-to-server postbacks, browser privacy changes, ITP, fingerprinting protections, and Apple ATT.
• Demonstrated experience taking a product from beta to general availability, including at least one situation where data led you to recommend stopping or materially changing a product or initiative.
• Proven ability to operate effectively in a 0-to-1 environment involving funded pilots, hands-on customer engagement, rapid iteration, and explicit go/no-go criteria.
• Strong experimentation expertise, including the ability to interpret confidence intervals, evaluate experiment design, challenge assumptions, and make ship/no-ship decisions under uncertainty.
• Exceptional cross-functional leadership skills, with experience influencing engineering, machine learning, go-to-market, sales engineering, creative, and finance teams without relying on direct authority.
• Experience with e-commerce ecosystems such as Shopify, including app approvals, privacy APIs, webhooks, product catalogs, feeds, or merchant-facing tools, is highly desirable.
• Familiarity with server-side integrations such as Meta Conversions API or Google Enhanced Conversions is a plus.
• Knowledge of incrementality testing, multi-touch attribution, media mix modeling, and common attribution approaches and debates within performance marketing is preferred.
• Strong financial and commercial acumen, with the ability to build, communicate, and defend unit economics cases with senior executives.
• Excellent communication, strategic thinking, judgment, and stakeholder management skills, combined with a high degree of ownership and comfort operating independently.

Benefits:

• Competitive base salary, with ranges based on location:
  • San Francisco Bay Area, Los Angeles/Orange County, Seattle, and New York City: $230,000–$280,000 per year.
  • Olympia, Austin, San Diego, Santa Barbara, and Boston: $211,000–$257,000 per year.
  • Other approved U.S. locations: $198,000–$240,000 per year.
• Equity as part of the overall compensation package.
• Health, vision, and dental benefits.
• Fully remote work within eligible U.S. states, with a preference for candidates located in the Pacific Time Zone.
• Flexible remote-first working environment with access to U.S. hubs where applicable.
• Opportunities for in-person project meetings, regional gatherings, and company-wide events.
• Quarterly in-person team gatherings designed to support collaboration, communication, and team building.
• Additional wellness resources and potential stipends or perks depending on location.
• Opportunity to work in a fast-paced, collaborative environment with significant autonomy and the ability to directly influence a new product from 0-to-1.
• Inclusive workplace committed to equal opportunity and supporting employees from diverse backgrounds.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.