Founding Program Staff

Morpheus Talent Solutions; New York (NY); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Founding equity

Competitive salary

Frontier lab collaboration

Job summary

Morpheus Talent Solutions is seeking a Founding Strategic Project Lead in New York to own lab-facing delivery across frontier lab relationships, turning early engagements into shipped RL environments and data artifacts that scale contracts.

You will translate ambiguous lab asks into concrete workstreams, manage environment specs, design rewards and verifiers, and drive pilots with a small, high-agency team.

Qualifications

• Experience delivering complex technical projects to frontier AI labs.
• Understanding of RL environment design and post-training data pipelines.
• Ability to convert ambiguity into structured, scoped workstreams.

Responsibilities

• Own end-to-end delivery across lab engagements, including scope, timelines, milestones and delivery.
• Lead with frontier lab stakeholders, align environment specs and acceptance criteria.
• Translate lab asks into concrete workstreams with QC gates and roadmaps.
• Run quick pilots to prove fit and de-risk full delivery.
• Coordinate ML/RL researchers, engineers and clinicians to ship multi-step projects.

Skills

Frontier AI labs

RL environments

Post-training data pipelines

Stakeholder communication

Project scoping

Tools

RL environments

Job description

Founding Program Staff, RL Environments for Healthcare AI

Competitive salary + founding equity

New York, NY (preferred, flexibility for the right candidate)- options for London & SF

Morpheus are partnered with a VC-backed, commercially live startup building the evaluation and training infrastructure for autonomous healthcare AI. The company creates high-fidelity RL training gyms and environments that improve frontier models and agents on real clinical, operational and administrative workflows, using long-horizon evaluations, expert feedback, verifier-driven tasks and real-world healthcare data. Already working with frontier labs, the team is hiring to meet immediate delivery demand.

The Opportunity

As a Founding Strategic Project Lead, you'll own lab-facing delivery and expansion across the company's existing frontier lab relationships, turning early engagements into shipped RL environments, gym artifacts and post-training datasets that convert into larger contracts.

This role suits someone with extremely high agency who has shipped complex technical projects directly to frontier labs, understands RL environment design and post-training data pipelines, and can thrive in a small, fast-moving startup while holding a high quality bar.

What You'll Do

• Own end-to-end execution across lab engagements: scoping, timelines, milestones, risks and delivery of RL environments and post-training data artifacts
• Act as the customer-facing lead with frontier lab stakeholders, running cadence, aligning on environment specs and acceptance criteria and communicating progress clearly
• Translate ambiguous lab asks into concrete workstreams, including environment specs, reward and verifier design, task library plans, QC plans and delivery roadmaps
• Drive quick-hit pilots, delivering small, high-quality sample environments or data slices early to prove fit and de-risk full delivery
• Coordinate across ML/RL researchers, environment engineers and clinicians to ship complex, multi-step projects on time and at frontier-lab quality
• Build and enforce delivery quality systems: definition-of-done checklists, verifier and reward QC gates, auditability, versioning and postmortems
• Help convert successful deliveries into expanded scopes and longer-term contracts

What You'll Bring

• Experience delivering complex technical projects directly to frontier AI labs (as a vendor, partner or embedded team), ideally involving RL environments, evals or post-training deliverables
• A working understanding of RL environments, including reward design, verifiers and task construction, and how they feed into model training and evaluation
• Hands-on familiarity with post-training data pipelines, such as annotation workflows or RLHF/RLAIF-style processes
• An exceptional ability to turn ambiguity into structure, with clear goals, tight scope, crisp milestones and measurable success criteria
• Strong written communication, producing specs and updates that accelerate decisions with technical stakeholders
• High agency and comfort operating with limited process, resources or precedent
• The judgment to make tradeoffs on scope, quality and timelines alongside technical teams and domain experts

Nice to Have

• Experience in regulated domains such as healthcare, fintech or security, where QA/QC and auditability matter
• A track record of converting early customer demand into expanded contracts

What's On Offer

• Competitive salary and founding employee equity
• A founding seat at the centre of one of AI's biggest bottlenecks: making autonomous agents reliable in high-stakes, real-world domains
• Direct work with frontier labs on artifacts that measurably improve model performance
• The chance to build the delivery engine that lets the business scale
• Openness to exceptional candidates across a range of seniority levels

If you've shipped technical work to frontier labs and want a founding role applying RL to healthcare.