Forward Deployed Product Lead

Forward Deployed Product Lead

Location: San Francisco, CA or New York, NY (Hybrid) Company Stage of Funding: Series B Office Type: Hybrid (SF or NYC + ~1x/month travel to customer sites) Salary: $185,000 – $250,000 + Competitive Equity Visa: No sponsorship available

Our client is building one of the most advanced AI workflow platforms in healthcare, enabling hospitals and health systems to deploy production-grade AI agents that automate clinical and operational workflows.

Their platform powers real-world healthcare automation across leading institutions including Mayo Clinic, Cleveland Clinic, UCSF, UTMB, Sentara, and Intermountain. The company has experienced explosive growth, scaling revenue 40x last year while deploying AI systems that directly impact patient outcomes.

This is an opportunity to join a rapidly scaling Series B health-tech company backed by Sequoia and Khosla Ventures, where you will personally design, build, and deploy AI-powered workflows directly into live healthcare environments.

What You Will Do

• Own end-to-end deployment success across enterprise health system customers
• Lead customer-facing discovery, implementation, workflow design, deployment, and optimization
• Personally build and configure production AI agent workflows inside the platform
• Design, test, and refine prompt engineering workflows using modern LLM tools
• Translate complex clinical and operational workflows into structured AI systems
• Build and deploy agentic AI workflows for healthcare operations and patient engagement
• Conduct customer discovery sessions across clinicians, operators, and executive stakeholders
• Serve as the primary engagement lead for customer accounts and deployments
• Drive stakeholder alignment, adoption, training, and rollout execution
• Build customized product demos and deployment prototypes for prospective customers
• Map operational workflows across healthcare systems and identify automation opportunities
• Collaborate closely with engineering, implementations, and GTM teams
• Identify product gaps and communicate customer-driven product feedback
• Own customer outcomes and deployment accountability from pre-sales through post-launch optimization
• Operate in highly ambiguous, fast-moving startup environments with high ownership expectations

Ideal Candidate Background

• 5–12 years of experience in customer-facing product, implementation, deployment, consulting, or solutions roles
• Strong healthcare or health-tech experience
• Experience owning enterprise customer engagements end-to-end
• Experience deploying products or workflows from 0-to-1
• Strong product intuition and operational thinking
• Experience working directly with executive stakeholders and enterprise customers
• Strong AI tooling and prompt engineering curiosity
• Comfortable building workflows directly instead of delegating to engineering teams
• Strong communication and executive presence
• High ownership mentality and startup intensity tolerance
• Comfortable navigating ambiguity and operating autonomously
• Willingness to travel to customer sites periodically
• Comfortable working startup hours in high-growth environments

Strong Signals

• Experience at high-growth healthcare or AI startups
• MBB, Palantir, or forward-deployed consulting/product backgrounds
• Experience with healthcare workflow design or clinical operations
• Experience deploying AI systems into enterprise environments
• Strong prompt engineering and LLM workflow experience
• Built internal automations using AI tools like Cursor, Claude, or Copilot
• Experience with healthcare systems, EHR/EMR workflows, FHIR, or HL7
• Product deployment or implementation ownership experience
• Experience leading customer-facing enterprise engagements
• Founder associate, forward deployed engineer, or solutions architect backgrounds
• Physician or clinical backgrounds transitioning into product/AI
• Strong first-principles problem-solving ability
• Strong change management and stakeholder management skills
• Comfortable balancing technical execution with customer relationship ownership
• Experience operating in fast-scaling startup environments

Compensation and Benefits

• Base salary: $185,000 – $250,000
• Competitive equity package
• Direct ownership of production AI deployments at major health systems
• Opportunity to shape one of the earliest forward-deployed AI functions in healthcare
• Exposure to cutting-edge AI workflow deployment problems
• Work closely with healthcare leaders, clinicians, and executive stakeholders
• Significant ownership and autonomy across customer implementations
• High-growth Series B startup trajectory
• Backed by top-tier investors including Sequoia and Khosla Ventures

Why Join

This is an opportunity to work at the frontier of AI deployment in healthcare, building production systems that directly impact patient outcomes and hospital operations.

You'll personally own and deploy AI-powered workflows into some of the largest healthcare systems in the country while helping define how agentic AI gets operationalized across enterprise healthcare environments.

If you enjoy customer-facing ownership, solving ambiguous operational problems, deploying AI systems in production, and working at startup intensity with massive real-world impact, this role offers exceptional leverage.