Senior Product Manager

AI has transformed digital industries, but progress in the physical sciences - drug discovery, materials science, climate modeling - has stalled. The bottleneck isn't compute or algorithms. It's data. The most valuable scientific datasets are locked in silos, unstructured, and inaccessible. We're fixing that. Harell Data is a managed platform where organizations can securely share proprietary datasets, train models on high-performance GPUs, and deploy them for inference and application development. Dataset owners share their data for model training without giving up control of it. Researchers and engineers get access to compute to train, deploy, and use their models. It's the infrastructure layer that turns scattered scientific data into domain-specific foundation models. About the Role You’ll be the founding Product Manager at Harell Data, reporting directly to the CTO. You’ll own product direction across the platform - partnering closely with customers, engineering, and design to decide what we build and why. You’ll have real ownership and the chance to build the product playbook from scratch - then scale with the company as it grows. What You Will Do Own product direction end to end - Set the strategy, prioritize the roadmap, and decide what gets built and what doesn't. Bring clarity to hard problems - Our users are wrestling with real technical complexity. Your job is to cut through it. Decide what matters, what to leave out, and turn the messy middle into a clear path forward. Be the customer's voice in the building - Run design partnerships, sit in on the calls that matter, turn what you hear into product direction the team can act on. Partner with GTM from day one - Work hand-in-hand with sales on enterprise deals; build the feedback loops and materials that turn early conversations into closed customers. Drive execution with engineering and design - Define the why and the what, then partner closely on the how to ship what matters. Qualifications 5+ years of product management experience, including time at an early-stage startup or as an early hire on a new product line Product industry experiance in the Platform as a Service PAAS or SAAS Strong track record of customer-facing product work - running design partnerships, joining enterprise sales calls, and turning those conversations into product direction Sharp analytical, prioritization, and problem-solving skills - you make decisions with conviction even when the data is incomplete Technically curious and comfortable going deep with engineers; you’ve worked somewhere where the playbook didn’t exist yet Bonus: Experiance in the Ai model training space or LLM's Bonus: experience in biotech, drug discovery, or Health & Life Sciences #J-18808-Ljbffr