Senior Product Manager ABOUT ODAIA ODAIA noun o
· da·ia | 'oh-day-yeah An Ancient Greek word referring to “tools of the trade.” To learn more visit odaia.ai.
ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients.
ODAIA's AI platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster.
OUR MISSION Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. WHAT’S ON OFFER Reporting to the Director, Product, as Senior Product Manager at ODAIA.
You will operate at the intersection of product vision, customer value, and data-driven decision making, ensuring our products deliver measurable outcomes for customers while scaling ODAIA’s platform capabilities.
This is not a growth PM role and not focused on upstream analytics exploration.
This is a systems-oriented product leadership role responsible for owning the features and product delivery end-to-end—from user experience through to technical architecture, delivery, and release.
This role is ideal for a PM who:
Thinks in systems, not features Can go deep technically when needed Understands how complex platforms scale and evolve Experience building B2B products with a clear buyer–user split, balancing end-user experience with business value for decision-makers WHAT YOU WILL DO Own and evolve a complex product system, not just a roadmap of features Support hands-on onboarding for new customers, ensuring they are set up for success and risks are identified and addressed early.
Support post-launch activities, ensuring teams are successfully onboarded and any issues are surfaced, addressed, and appropriately prioritized.
Partner deeply with Engineering to define technical direction, trade-offs, and architecture implications Drive structured execution across planning, delivery, and release cycles Break down complex problems across interconnected systems and workflows into clear, actionable components Ensure resilience, scalability, and maintainability of the product over time Collaborate across Product, Engineering, Data, and Design to deliver cohesive platform experiences Establish strong release discipline, including planning, coordination, and post-release evaluation Balance long-term platform health with short-term business needs Bring clarity to ambiguity in highly complex, multi-stakeholder environment Coordinate deeply with Business Acceleration, Commercial, Analytics, Data Management, Engineering, and Design to ensure product strategies are grounded in technical feasibility Be outcome-driven, using both quantitative and qualitative insights to guide decisions Provide clear context to stakeholders on what the data is showing, what it isn’t, and how learnings should influence strategy Champion experimentation, measurement, and continuous learning across teams WHAT YOU BRING 5–8+ years of Product Management experience in SaaS or platform-based products Proven experience owning complex systems or platform-level product areas Strong systems thinking—Ability to understand the product as an interconnected system, anticipate downstream impacts of decisions, and make choices that support long-term scalability, stability, and leverage Experience working closely with Engineering on technical design, trade-offs, and architecture Track record of leading delivery for large, cross-functional teams (including pods of 8–12 engineers) Experience with release management and structured product delivery Ability to own products end-to-end, with a strong focus on user-facing application experiences while confidently operating across technical systems, data, and platform considerations.
Strong execution mindset—you drive clarity, accountability, and outcomes Excellent communication skills, especially in translating complexity into clear decisions Nice to have:
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