Product Manager for Data Science

Product Manager for Data Science

Seattle, WA

About impact.com: impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning productsPerformance (affiliate), Creator (influencer), and Advocate (customer referral)unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands, including Walmart, Uber, Shopify, Lenovo, L'Oral, and Fanatics, rely on impact.com to power more than 225,000 partnerships that deliver measurable business results.

Your Role at impact.com:

We are looking for a Senior Product Manager (PM) to drive strategy and execution across our data science and AI ecosystemfrom the machine learning platform and data foundations to applied ML and AI-powered products that deliver measurable business impact.

This is a pivotal role at the intersection of data science, machine learning engineering, and product strategy. You'll partner with data scientists, ML engineers, data engineers, and business leaders to define and deliver the capabilities that enable our teams to develop, deploy, and scale AI-driven insights and automation across the company.

What You'll Do:

ML Platform & Infrastructure

• Own the product vision and roadmap for our ML Platform, ensuring teams can easily experiment, train, deploy, and monitor models at scale.
• Partner with MLOps and Data Engineering to deliver shared components such as model registry, feature store, experiment tracking, and evaluation frameworks.
• Drive adoption of modern AI tooling (e.g., vector stores, LLM orchestration frameworks, GPU-based training environments).
• Define SLAs, performance metrics, and developer experience standards for the platform.

Data Strategy & Insights Enablement

• Lead the strategy for transforming raw data into structured, high-quality, and meaningful assets that power insight-driven product features such as competitive benchmarking, performance diagnostics, and opportunity identification.
• Define and evolve the data models, taxonomies, and semantic layers that make data consistent, interpretable, and ready for analysis.
• Partner with data science and engineering teams to ensure insights are accurate, contextual, and actionable, enabling teams and clients to make data-informed decisions confidently.

Applied ML & AI Use Cases

• Identify and prioritize high-value machine learning applicationssuch as recommendation systems, search relevance, anomaly detection, forecasting, and LLM-powered insights.
• Translate complex data science opportunities into productizable features with measurable outcomes.
• Collaborate with business and engineering teams to bring ML models into productionensuring performance, interpretability, and ethical AI practices.
• Own success metrics (e.g., model ROI, adoption, latency, accuracy) and establish iteration loops with DS teams.

Strategy & Leadership

• Define the long-term strategy for AI/ML as a product capabilitybalancing foundational investments with applied innovation.
• Partner with senior leadership to align the ML roadmap with company priorities and data maturity.
• Champion best practices for experimentation, responsible AI, and data-driven decision making.
• Influence executive stakeholders through clear storytelling, value framing, and impact

What You Bring:

• 610+ years of product management experience, including at least 3 years focused on data, ML, or AI products.
• Strong understanding of machine learning lifecycle, from experimentation to deployment and monitoring.
• Proven success managing technical platform products (ML infrastructure, data pipelines, or developer tools).
• Familiarity with cloud ML ecosystems (Vertex AI, Databricks, or similar).
• Ability to communicate fluently across data science, engineering, and business teamstranslating complexity into clear priorities.
• Demonstrated ability to manage cross-functional roadmaps, prioritize tradeoffs, and measure product success through adoption and business impact.

Salary Range: $130,000 - $150,000 per year, plus an additional 5% variable annual bonus contingent on Company performance with eligibility to receive Restricted Stock Unit (RSU) grant.

Benefits and Perks:

• Medical, Dental, and Vision insurance
• Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled
• Flexible spending accounts and 401(k)
• Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life.
• Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health.
• A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval.
• Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses.
• Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver.
• Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses.

impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.