• Partner closely with a dedicated engineering and design team. • Translate underlying capabilities into user experiences. • Measure and improve experiences using data and customer insights. • Collaborate with stakeholders to enhance commerce experience for clients.

• Own the product strategy and roadmap for measurement and modeling, including MMM, Testing, Synthetic modeling, and MTA evolution • Define how different methodologies work independently and together • Partner closely with Data Science and Engineering to build and scale model-driven products and systems • Translate complex modeling concepts into clear product requirements, workflows, and outputs • Lead products from 0→1 through scaled adoption, balancing innovation with customer and business impact • Ensure modeling outputs are accurate, explainable, and aligned with customer expectations • Be a key driver in improving how models are delivered to customers, including speed, quality, and overall customer acceptance • Partner cross-functionally to evolve the end-to-end modeling delivery process—from configuration and validation to final output and adoption • Analyze model outputs and large-scale datasets to inform product decisions and prioritization • Work with Customer Success and Sales to understand customer needs, validate outputs, and close gaps in expectations • Drive product acceptance and readiness, ensuring what is delivered matches what was promised • Partner with Product Marketing on positioning and communicating complex measurement concepts clearly • Stay current on industry trends across measurement, attribution, privacy, and AI, translating them into product opportunities

• Own consumer acquisition and growth for Maven's direct-to-consumer business, starting with the GLP-1 funnel: landing experience, onboarding, conversion, and the paths that turn a first visit into an active member • Build and run a high-velocity experimentation engine. Form hypotheses, ship tests, read results honestly, and compound learnings into a funnel that performs better every week • Define the metrics that matter for consumer growth, instrument them, and use them to drive decisions, from top-of-funnel conversion to activation and early retention signals • Grow your mandate from acquisition into retention and engagement over time, shaping how a member's first month becomes a lasting relationship with Maven • Partner daily with engineering, design, analytics, clinical, and marketing to ship quickly without compromising the care quality and trust Maven is known for • Bring a strong point of view on how AI changes both what we build for members and how fast we build it, and put it to work in your own workflow.

• Own the roadmap for the NFS-e module and the Tax Reform agenda, translating regulatory and business context into product priorities; • Lead discovery and delivery: identify opportunities, validate hypotheses with data and customers, and specify requirements (PRDs) and acceptance criteria; • Define and track module metrics (issuance success rate, activation time, volume of N3 errors) and use these signals to prioritize work; • Act as the platform’s fiscal-technical point of reference, advising engineering, back office and customers on configurations for different services and municipalities; • Lead root-cause analysis of issuance errors (N3), transforming recurring patterns into product improvements rather than support backlogs; • Serve as the technical interface with the municipal integration partner, escalating and driving resolution of issues with agility; • Anticipate the impacts of the Tax Reform (IBS/CBS) on the NFS-e module and plan the required product adaptations; • Leverage AI and automation to scale the fiscal knowledge base and reduce configuration and validation times.