Product Manager, Core Models & Platform
About this role
ABOUT US
We are a well-funded, early-stage AI lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers, including Andrew Dai, who was previously a leader on Gemini. Our team currently consists of 20 world-class scientists and engineers. We raised $55M in seed funding from Striker Ventures, Menlo Ventures, Altimeter Capital, and NVIDIA. We are tackling some of the hardest problems in artificial intelligence, and we are growing fast.
ABOUT THE ROLE
Product leadership at Elorian AI sits directly at the intersection of breakthrough research, hardcore systems engineering, and rapid enterprise adoption. Based in our Palo Alto office, this role is built for a high-judgment operator who demands true ownership across the entire model lifecycle—from early training priorities to production deployment and iterative refinement.
As our founding PM, you will take full end-to-end command: scaling our public API, architecting the launch of our next-generation frontier foundation models, and steering the pivotal strategic tradeoffs between broad developer infrastructure and high-value vertical solutions.
WHAT YOU WILL DO
Own the Business & Product Roadmap End-to-End
- Drive the Frontier AI Roadmap: Take full ownership of the product lifecycle—optimizing our existing public API today while architecting the release strategy and developer experience for our upcoming frontier foundation models. - Shape the Strategic Trajectory: Evaluate and prioritize high-stakes business bets: steer the balance between expanding a broad horizontal developer platform and building high-impact vertical applications. - Run the Release Tempo: Own pre-training and fine-tuning priorities from a product lens, driving alignment, evaluation, and rapid iterative deployment.
2. Bridge Research, Engineering, and Go-to-Market (GTM)
- Single Source of Truth: Serve as the central conduit connecting customer-facing commercial teams with world-class research scientists and core infrastructure engineers. - Turn Breakthroughs into Products: Translate state-of-the-art multimodal research capabilities into intuitive, scalable developer primitives and production features. - Market-Driven Sprints: Align engineering sprint priorities and compute resources with clear enterprise customer demand and real-world adoption signals.
3. Partner with GTM to Drive Enterprise Adoption & Revenue
- Abstract Customer Insights: Partner closely with GTM leadership to systematically capture user pain points, workflow bottlenecks, and enterprise feedback from early design partners. - Monetization & Expansion: Convert early market signals into high-converting product features, tiered enterprise offerings, and sustainable monetization mechanisms. - Customer-Facing Impact: Join key customer conversations to uncover novel use cases, prototype solutions, and establish repeatable enterprise playbooks.