Data Product Manager

Teak•San Francisco, CA

7h•Remote

About The Position

Teak is building better experiences for people attending live events, participating in sports, and booking travel. Our easy-to-embed, full-service solutions let companies offer consumers flexibility and refundability right at the point of purchase. We have served over 12 million consumers and made over $1B in experiences refundable. Our business is growing quickly and is profitable. We’re a fully remote, fast-moving, high-impact team that thrives on solving hard problems. Every role here is mission-critical, and every person has the opportunity to shape our company's future. Teak seeks an experienced Data Product Manager to own and evolve our data platform, analytics capabilities, and experimentation infrastructure. This role sits at the intersection of technology, business intelligence, and product strategy, translating complex data needs into scalable solutions that drive decision-making across the organization. As our Data Product Manager, you'll be responsible for the full lifecycle of our data products, from platform architecture and tool selection to stakeholder enablement and governance. You'll work closely with cross-functional teams across Revenue, Finance, Product, Engineering, Insurance, Marketing, Operations, and Customer Experience to ensure our data infrastructure meets both current operational needs and future strategic objectives.

Requirements

5+ years of experience in data product management, analytics engineering, or related roles
Maintaining & aligning product priorities to the product roadmap, cascading business objectives, and market opportunities
Within a fast-paced, agile environment, prioritize features & user stories for sprints & releases, as well as maintain a frequent incremental approach to enhancements
Work closely with engineering & QA; accountable for delivery & execution of features and other product management deliverables
Proven track record managing data platforms, including databases, data warehouses, and ETL pipelines
Strong understanding of modern data stack tools and technologies
Experience with experimentation platforms and statistical analysis
Demonstrated ability to work with cross-functional stakeholders and translate business needs into technical solutions
Proficiency with SQL and data modeling
Familiarity with cloud data platforms (AWS, GCP, or Azure)
Understanding of data orchestration and workflow tools
Knowledge of BI and visualization tools (Omni, Tableau, Looker, Power BI, or similar)
Experience with data governance and compliance frameworks

Nice To Haves

Background in insurtech, fintech, or embedded solutions
Experience with AI/ML model deployment and monitoring
Familiarity with the EOS (Entrepreneurial Operating System) framework
Understanding of B2B2C data architecture and multi-tenant considerations

Responsibilities

Data Platform Strategy & Execution You'll own the roadmap and prioritization for our analytics services and data platform capabilities. This includes databases, data lakes, and datastores, as well as overseeing pipelines, ETL processes, and data integrations. You'll ensure our analytics tools, business reporting systems, and workflow orchestration are optimized for performance, reliability, and scalability. You'll also establish and maintain disaster recovery protocols and SLAs that protect our data assets and ensure business continuity.
AI, ML & Experimentation You'll drive our AI and machine learning capabilities, identifying opportunities to leverage predictive models and automation to enhance our products and operations. You'll own our optimization and experimentation infrastructure, including multivariate and A/B testing tools, enabling teams across the organization to run data-driven experiments that improve customer outcomes and business performance.
Customer-Facing Data Products You'll develop and manage customer-facing capabilities, including reporting dashboards and data services that provide value to our clients. You'll balance technical feasibility with user experience to ensure our data products are both powerful and accessible.
Stakeholder Management & Enablement You'll serve as the primary point of contact for data needs across the organization, working with stakeholders in Revenue, Finance, Product, Engineering, Insurance, Marketing, Operations, and CX. You'll translate business requirements into technical specifications, prioritize competing demands, and ensure that teams have the data, tools, and insights they need to succeed.
Data Governance & Compliance You'll establish and enforce data governance frameworks, quality standards, and regulatory compliance protocols. You'll ensure our data practices meet industry standards and legal requirements, including privacy regulations and insurance industry-specific mandates.