5-7 years of experience in product management or deployment roles, preferably in healthcare technology
Strong clinical background with the ability to quickly learn new workflows
Experience in AI or machine learning applications, particularly with LLM tools
Proven ability to engage with both clinical staff and executive leadership
Demonstrated skills in change management and customer engagement
Ability to translate complex problems into actionable solutions
Experience in designing and implementing operational workflows within technology platforms
Responsibilities
Own the end-to-end success of AI deployments across health systems
Design, configure, and deploy AI workflows and agents within the platform
Map current-state clinical workflows and design future-state workflows incorporating AI
Evaluate AI outputs against clinical expectations and debug issues
Develop reusable workflow patterns and templates for customer deployment
Serve as the primary partner for health system customers, facilitating communication and trust
Drive change management processes including training and rollout plans
Benefits
Flexible work location with preference for SF or NYC
Opportunity for occasional travel to client sites
Hands-on role with direct impact on AI deployment success
Engagement with diverse health system stakeholders
Access to cutting-edge AI technologies and tools
Collaborative work environment with engineering and product teams
Focus on professional growth and learning in a dynamic field
Full Job Description
Location: SF or NYC preferred (occasional travel to client sites)
About the Role
The Forward Deployed Product Lead owns the end-to-end success of AI deployments across a portfolio of health systems-from discovery through go-live and ongoing optimization.
This is a hands-on role. You will personally design, configure, and deploy AI workflows and agents inside Bunkerhill's platform-not just define requirements for others to build.
Role mix (approx.):
25% pre-sales: discovery, solution design, demos, pilot scoping
75% post-sales: implementation, workflow build-out, training, iteration, and optimization
What You'll Do AI Agent & Prompt Development
Design, test, and refine AI agents and prompt logic within the platform using modern LLM tools.
Formalize clinical reasoning and workflow logic into structured, reliable, and audit-friendly agent designs.
Evaluate outputs against clinical and operational expectations; debug edge cases and failure modes.
Develop reusable workflow patterns and agent templates that can be deployed across customers.
Workflow & Product Design
Map current-state clinical workflows and design future-state workflows that incorporate AI agents and automation.
Assemble end-to-end solutions using Bunkerhill's platform (data inputs 12 AI agents 12 work queues 12 clinician UI 12 reporting).
Identify product gaps encountered in the field and write concise product briefs to unlock new capabilities, speed deployments, and expand into new specialties.
Partner closely with engineering and product teams to refine, prioritize, and ship improvements.
Customer Engagement & Change Management
Serve as the primary day-to-day partner for health system customers, working with frontline staff (schedulers, nurses, coordinators), managers, and executive leaders.
Run structured discovery to understand current workflows, pain points, clinical constraints, and operational goals.
Translate ambiguous problems into clearly scoped deployments with defined success criteria.
Drive change management: timelines, stakeholder alignment, training sessions, rollout plans, and adoption tracking.
Build trust through clear, respectful communication at every level of the organization.
Who You Are
You have a strong sense of ownership and are comfortable being accountable for real-world outcomes.
You have a solid clinical foundation and can quickly learn new clinical domains and workflows.
You are comfortable working directly with both frontline clinical staff and senior executives.
You think like a product builder: you see patterns across customers, write clearly, and focus on scalable solutions rather than one-off custom work.
You are excited about LLMs as practical tools for building durable workflows, not just demos.
You are structured and analytical, but pragmatic and scrappy in imperfect environments.
A traditional software engineering background is not required; experience building within platforms, configuring complex systems, or deploying operational workflows is a strong fit.
