Senior Product Manager

EBAS is partnering again with a venture-backed startup disrupting a $1.5T industry by combining AI agents with expert humans to deliver infrastructure initiatives 5x faster at a third of the cost. They are backed by $11M over subscribed seed round from top investors and led by repeat founders who’ve scaled category-defining companies. They are beyond POC and have hit $1.5M+ in ARR without any reps, though just hired 3 reps to capitalise on this momentum to enterprise space.

This is an opportunity to join a high-ownership product function at a pivotal stage and define the agent capabilities and platform roadmap that will modernize enterprise infrastructure at the speed of AI.

Why You Will Be Excited About This Role

• First dedicated PM, owning the roadmap end-to-end, driven by customer insight and delivery signals
• High-ownership role partnering with the CTO and reporting into CEO (who led the launch and scale of Xbox), you will be mentored and working with a real product guru
• Hyper fast growing company with oversubscribed seed funding of $11M and investors knocking on the door for Series A

Why You Will Like Working Here

• Early, high-ownership scope with direct exposure to top company leadership
• Product is deeply technical and tied to real customer outcomes, not surface-level features
• A builder culture that values speed, iteration, and learning loops across delivery and product
• Mission-driven work modernizing critical enterprise infrastructure, with clear urgency and high customer impact

What You Will Be Working On

• Define the product strategy and key areas of investment for helping enterprise customers modernize their data infrastructure.
• Own and sequence the roadmap for an agentic modernization platform, including agent tools, frameworks, workflows etc..
• Extend agent capabilities into context graphs, multi-agent orchestration, and governance-aware automation.
• Convert enterprise discovery into execution by translating CIO insights into clear specs, measurable outcomes, and success metrics.
• Elevate the FDE experience through repeatable tooling, platform primitives, and tighter engineering instrumentation to improve throughput and reliability.

What Type of Person Will Be Successful

• 5+ years of Product Management experience with exposure to enterprise software and infrastructure
• “Services-to-software” mindset: you treat the delivery mechanism and workflow engine as the product
• Technical fluency with data schemas, APIs, ETL pipelines, and legacy enterprise systems (ERPs, mainframes)
• Strong AI product curiosity: you think in agents, workflows, and feedback loops, and stay current on AI-native product patterns
• Comfortable operating in ambiguity, moving from 0 to 1, and building lightweight prototypes to validate direction
• Customer-obsessed and eager to embed in enterprise sales and discovery cycles
• Willing to work 3 days in the San Francisco office