Teak

Compensation

Full Description

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. Key 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. Requirements Required Experience 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 Technical Skills 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 Have 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 Who You Are You're a strategic thinker who can balance long-term vision with short-term execution. You're comfortable with ambiguity and can prioritize effectively in a fast-paced environment. You communicate complex technical concepts clearly to non-technical audiences and build strong relationships across teams. You're passionate about data quality and believe that great data infrastructure is a competitive advantage. You're entrepreneurial and proactive, identifying opportunities before they're asked for. You have strong opinions loosely held, and you're willing to challenge assumptions while remaining open to feedback. You thrive in a collaborative environment where cross-functional partnership is essential to success. Why Join Teak? Fully Remote Working Environment Competitive Salary and Equity Opportunities Unlimited Paid Time-off Medical, Dental, and Vision Benefits Annual Bonus Program 401k Matching $100/month for Event Ticket Purchase Company-Sponsored Events