Senior Staff Product Manager, Analytics

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Senior Staff Product Manager, Analytics MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The company provides industry-leading solutions designed to reach consumers shopping within high-consideration categories such as property and casualty insurance, health insurance, life insurance, and more. Location: Los Angeles | Hybrid (3 days per week in office). Role Overview This role owns the vision, strategy, and business outcomes for how MediaAlpha turns its analytics and data science into products. Our Analytics team builds the models, signals, and optimization behind the MediaAlpha Marketplace. You'll set the long-term direction for a family of intelligence products for advertisers, publishers, and agents, spanning bidding, predictive signals, performance guarantees, and partner-facing reporting and forecasting. You'll define how proven analytics work becomes a product, and you'll be fully accountable for the outcomes those products produce. The core challenge: build a repeatable path from research to revenue. Analytics owns its models and roadmap. You'll own the moment proven work becomes a product, and everything after: whether it should be a product at all, who it's for, how it's packaged and priced, and how account teams take it to market. You'll balance one-off requests from large partners against the discipline of standard products, consistent rules, and claims we've actually measured, and you'll make sure every product strengthens our marketplace. This is an individual contributor role. You'll partner closely with analytics and data science, engineering, product marketing, finance, legal and privacy, and our advertiser, publisher, and agent account management teams. You'll also mentor other product managers across the organization, raising the bar for data-product thinking, commercial judgment, and product craft. Responsibilities • Own the vision, strategy, and multi-year roadmap for MediaAlpha's analytics products, translating analytics capabilities, partner needs, marketplace dynamics, and business goals into a clear long-term direction and prioritized roadmap. • Be accountable for business outcomes by defining and measuring per-partner impact, including revenue from analytics products, marketplace margin, partner retention and growth. • Own the path from research to launch: define what "ready" means for an analytics capability, accept handoffs from Analytics, and decide whether each one becomes a product. • Define the partner problem each product solves and which advertisers, publishers, or agents it fits, and own its packaging, naming, and positioning within a single product family. • Partner with finance and business leaders on pricing and commercial terms, including how products are offered across different marketplace and deal structures. • Design pilots with account managers, including partner selection, goals, and success criteria set up front. • Translate analytics work into product terms and partner needs into clear requests for Analytics, helping data scientists think about who a product is for and what it's worth to them. • Ensure product requirements give engineering clear context for building analytics into the Exchange, partner dashboards, reports, and tools. • Build launch kits and playbooks and train account managers to sell with them. • Leverage advanced AI tools to accelerate strategy development, requirement definition, and rapid prototyping across the product lifecycle. • Mentor other product managers and elevate product craft, strategic thinking, and execution standards across the team. • Communicate product strategy, progress, and trade-offs to senior leadership and executive stakeholders. Requirements • 10+ years of product management experience, with at least 3 years at the Staff level or above. • Proven ownership of product vision, strategy, and measurable business outcomes for data, analytics, or machine learning-powered products, ideally sold to enterprise customers. • Strong data-product instincts : you're fluent in experimentation and lift measurement (A/B tests, holdouts, incrementality), understand what a model can and can't do, and can reason about auction and marketplace economics with data scientists and engineers. • Strong commercial judgment: you can size an opportunity, frame a pricing decision, and focus on strengthening the platform. • Experience designing cross-team operating models, with clear handoffs, decision rights, and exception processes that hold up at scale. • Excellent written and verbal communication; you can explain a model in one sentence to a partner and defend the strategy behind it to an executive. • Positive, can-do attitude and willingness to work in a fast-moving environment, rolling up your sleeves to get things done. Nice to Have We value strong, general PM craft over specific domain familiarity. However, let us know if you have experience in any of these areas/fields: • Ad-tech, performance marketing, or programmatic advertising, especially in marketplaces or exchanges. • Real-time bidding (RTB), bid optimization, or managed and automated bidding products. • Predictive modeling, forecasting, or decision-science products sold to external customers. • Track record of taking models, signals, or data science research from prototype to commercial product, including packaging, pricing, and launch. • Performance guarantees or outcome-based pricing. • Publisher or supply-side yield optimization. • Lead generation, call marketplaces, or click-based performance products. • Insurance, personal finance, or Medicare verticals. • AI assistants or conve