Strategic Project Lead

ABOUT ABUNDANT

As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems.

Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence.

THE ROLE

Own end-to-end execution of Abundant’s most critical projects and owning the relationships internally/externally. Translate ambiguous research requirements into structured workflows, manage distributed expert teams, and deliver flawless results under tight timelines. This is a founding-level operations role with outsized ownership.

WHAT YOU’LL DO

• Own project delivery end-to-end — scoping, design, contributor ops, QA, and handoff to AI lab partners

• Build and manage relationships with researchers at frontier labs

• Recruit, scale, and run distributed teams of domain experts — sourcing, performance, quality, engagement

• Partner closely with Talent Acquisition (TA) and the scale team to develop and execute sourcing and hiring strategies for distributed expert teams.

• Drive project-specific research scoping — Collaborate with AI lab partners and internal researchers to define project boundaries and strategic direction.

• Operationalize ambiguous research requirements — Translate frontier lab needs into structured workflows and scalable execution plans.

WHO YOU ARE

• Relentless executor — you have extreme agency and drive; when you see a problem you fix it, when a path doesn’t exist you create one

• Thrive in chaos — ambiguity energizes you; you’ve built systems and processes from nothing in fast-moving environments

• High-autonomy track record — experience in operations, consulting, or program management where you owned outcomes, not just tasks

• Technically fluent — you understand software systems and data pipelines well enough to earn credibility with engineers