Product Manager, Data Platform & Integrations

Auxilius is a company that builds clinical trial financial management software aimed at optimizing R&D spend for drug companies. They are seeking a Product Manager to oversee the data integration process, manage the data platform, and drive AI features that provide actionable insights from data. This role is critical in shaping the company's product strategy and enhancing the efficiency of clinical trials.

Responsibilities:

• Own how external data flows into Auxilius
• Drive our integration roadmap, including consolidating and optimizing ERP, EDC, CTMS, TMF, and FP&A system integrations, expanding depth so sponsors feel natively connected
• Scope each new integration, partner with engineering to build it, and manage delivery end-to-end
• Communicate timelines and manage work stream directly with Sponsor’s IT and technical teams as part of initial integration build during customer implementation
• PM our internal data strategy for our data warehouse
• Partner with engineering to optimize a canonical, well-modeled data layer that everything else sits on top of
• Treat this as the foundation the rest of the platform and our AI features depend on, and prioritize accordingly
• Own our strategy for exposing that data and making it available across the product, not just landing it cleanly
• Own how users get value back out of their data through benchmarks, analytics, dashboards, and other in-product surfaces that turn the underlying data into insights users can act on
• Drive AI features in the product and the AI implementations that sit on the data foundation, with direction from leadership on the broader AI strategy
• Own and expand our dashboarding and analytics tooling
• Extend into benchmarking tools over time as a natural extension of this pillar
• Lead major feature execution, anticipating dependencies and managing risk
• Craft clear narratives that connect customer problems to solutions, tailoring your message to different audiences (internal, external) and contexts. Produce PRDs, Feature Briefs, and Tickets that are thoughtful, clear, and compelling
• Present roadmaps to leadership and build exec-ready narratives that persuade through data and customer stories
• Balance trade-offs between speed and scalability, partnering closely with engineering on technical decisions
• Approach data work with a commercial mindset: a data asset is only as valuable as the end-use case it serves for a customer or user, and you start from that end state rather than treating the data itself as the goal
• Bring excellence in product craft and help level up the team's product thinking through mentoring and best-practice sharing
• Improve team processes by optimizing rituals, identifying bottlenecks, and raising the bar on execution

Requirements:

• 5+ years of product management experience in B2B or enterprise SaaS, with a proven track record of leading product areas end-to-end
• Experience building enterprise-grade products in a startup or growth-stage environment, where you've had to balance enterprise requirements (reliability, auditability, scalability) with startup constraints (small team, fast iteration, limited resources)
• Direct experience owning integrations or data ingestion products: scoping external data sources, partnering with engineering on API or file-based integrations, and managing delivery
• Strong mental model for data platforms: comfortable thinking about canonical data modeling, schema design, and standardization across messy, heterogeneous sources
• Demonstrated ability to shape product strategy, synthesize insights from multiple sources, and translate them into clear roadmaps
• Comfortable speaking directly with customer technical teams and stakeholders, including sponsor IT, to scope integrations and manage delivery
• Experience leading discovery independently, aligning cross-functional stakeholders, and managing ambiguity
• Comfortable enough in data concepts to have real conversations with data engineers about modeling trade-offs, without needing to write the queries yourself
• Excellence in product craft with proven ability to mentor and elevate team capabilities—you bring formal training or deep knowledge of modern methods and can teach, not just execute
• Strong communication skills. Can craft compelling narratives, present to leadership, and explain complex technical workflows clearly
• Experience building AI-powered features on top of a data platform (querying, summarization, benchmarking)
• Experience with clinical trial systems (EDC, CTMS, TMF) or ERP/finance systems integrations
• Multi-product or platform experience where you've advocated for architectural decisions and platform thinking
• Familiarity with healthcare or life sciences industries
• Experience building products where accuracy, auditability, and user trust are critical
• Can build deep enough product knowledge to play a technical sales or SME role - can demo products, handle objections, and speak credibly about capabilities in customer/prospect conversations