Senior Technical PM - AI & Clinical Platforms | Faro

Faro AI Inc.; San Diego (CA); Hybrid; USD 162,000 - 191,000; Full time

Benefits offered by this job

Life Insurance (Basic)

Short Term and Long Term Disability

Paid Time Off (Flexible Vacation; Sick

Public Holidays Observed

Training & Development Reimbursement

Company/department outings and events

Stock Option Plan

Job summary

Faro Health seeks a Senior Technical Product Manager to bridge customers, partners and engineering for healthcare AI platforms. You’ll own the platform and integration strategy, driving scalable architecture, reliable data exchange, and interoperable solutions across clinical systems to enable intelligent trial design.

The role requires 5+ years in product management with platforms or integrations, strong API and data architecture skills, and experience with HIPAA/GxP concepts.

Qualifications

• Bachelor's degree in CS, engineering, life sciences or related field.
• 5+ years PM experience; platforms, integrations or technical products.
• Experience managing external integrations in life sciences.
• Strong API, data architecture and cloud platform knowledge.
• Proficiency in Python and prototyping integrations.
• Experience with LLM-powered apps and tool calling.
• Familiar with MCP concepts; MCP client/server is a plus.
• Understanding of RAG, embeddings, vector search concepts.
• Ability to define AI integration evaluation criteria.
• Experience with HIPAA/GxP and auditability is a plus.

Responsibilities

• Own Faro's platform and integration roadmap.
• Translate customer needs into detailed specifications.
• Prototype, validate, and iterate integration solutions.
• Drive end-to-end integration lifecycle from discovery to launch.
• Define AI integration requirements with MCP and APIs.
• Establish reusable AI workflows with data contracts and error handling.
• Ensure secure, traceable AI interactions and auditing.
• Collaborate across Data Science, Eng, Design, and Strategy.
• Define standards and tools to enable internal and partner work.
• Measure KPIs: performance, reliability, adoption, latency, cost.

Skills

Python

APIs

LLM tooling

MCP

RAG

Data architecture

AWS

Azure

GCP

SQL knowledge

HIPAA/GxP

Regulated data

Communication

Education

Bachelor's degree

Master's preferred

Tools

AWS

Azure

GCP

APIs

SQL databases

MCP

Job description

Senior Technical PM - AI & Clinical Platforms | Faro in Oklahoma City

This is a senior-level Technical Product Manager role at an AI-driven life sciences startup, sitting at an exciting intersection of healthcare data standards, LLM integrations, and clinical trial infrastructure. The compensation of $162K-$191K base plus equity is competitive for a TPM role in California - market rates for senior TPMs in SaaS/health-tech typically range $150K-$200K in major metros, so this is squarely at market with the equity upside reflecting startup risk/reward.

• Hands-on exposure to cutting-edge AI integration patterns (MCP, RAG, LLM tool-calling) - skills in extremely high demand across tech and health-tech sectors.
• Ownership of platform and integration strategy from day one - high visibility, broad impact role.
• Experience with regulated environments (HIPAA, GxP, CDISC, HL7 FHIR) is rare and commands premium compensation in the market.
• Equity described as "higher-than-average" for company size - meaningful if the company reaches a liquidity event.

Watch points:

• Startup-stage environment means you'll wear many hats - the role blurs PM and solutions engineering, which builds breadth but can slow deep specialization.
• Life sciences software has long sales cycles; milestone timelines can be unpredictable.

Skills developed here - AI integration architecture, clinical data standards, platform ecosystem management - are highly transferable to roles at larger health-tech firms (Epic, Veeva, Oracle Health) or well-funded AI startups.

About Faro Health

Faro Health aims to improve lives by helping life sciences companies design optimal clinical trials. Our AI-powered software platform optimizes and orchestrates complex clinical development by providing powerful insights about trial design and outcomes. Faro empowers researchers to design more intelligent trials, reducing development costs and reaching milestones faster with better patient experiences.

Faro is a mission-driven company seeking world-class people who share our passion for improving drug availability and patient outcomes through better clinical trial design. We pride ourselves on our vibrant, inclusive, and growth-mindset-oriented culture. Faro offers competitive compensation and benefits, generous vacation and parental leave, and flexible working hours.

We are a hybrid workplace where San Diego employees work from their homes as well as in our main headquarters, which features a gym with classes, spa services (coming early next year), an outdoor lawn work area, and a steeply discounted food hall. Remote employees work from home and visit the main office for group events and in-person collaboration.

Open to current California residents ONLY.

Role Overview

As a Technical Product Manager at Faro Health, you will serve as the bridge between our customers, partners, and engineering teams. You'll own Faro's platform and integration strategy, driving scalable architecture, reliable data exchange, and interoperable solutions that connect clinical systems and power intelligent trial design.

You will translate complex customer and partner technical requirements into clear engineering deliverables, define integration roadmaps, and ensure that Faro's platform and data services enable seamless, secure, and compliant collaboration across the clinical trial ecosystem.

Key Responsibilities

• Own Faro's platform and integration strategy: Define and execute a roadmap for integrations that strengthen the scalability and interoperability of the Faro platform.
• Translate technical requirements: Work closely with customers, partners, and engineers to transform clinical and operational needs into detailed product and integration specifications.
• Act as a solution consultant: Roll up your sleeves to design, prototype, and validate integration solutions, using Python, APIs, and other technical tools to investigate problems and validate data flows.
• Drive end-to-end integration lifecycle: From discovery to design, testing, and launch, ensure integrations deliver measurable value, reliability, and compliance.
• Enable AI integrations: Define requirements for connecting Faro's AI capabilities with customer systems, external data sources, and tools through APIs and Model Context Protocol (MCP).
• Define reusable AI workflows: Partner with Engineering and Data Science to establish tool interfaces, structured inputs and outputs, data contracts, error handling, and human approval steps for AI agents.
• Support secure and traceable AI interactions: Define requirements for authentication, authorization, source traceability, and auditability when AI applications retrieve information or execute actions.
• Collaborate cross-functionally: Partner with Data Science, Engineering, Product Design, and Customer Strategy to build and execute end-to-end strategies for customers, ensuring alignment and scalability across the Faro platform.
• Platform enablement: Define standards, documentation, and tools that make it easier for internal teams and external partners to build on Faro's platform.
• Ecosystem development: Evaluate and prioritize integrations that enhance connectivity and data flow across clinical trial systems, distinguishing customer-specific requests from reusable platform opportunities.
• Measure success: Define KPIs for platform performance, integration reliability, adoption, ecosystem growth, AI workflow task completion, tool execution reliability, latency, and cost.
• Stay ahead of standards: Track industry interoperability standards such as CDISC, HL7 FHIR, and ODM, alongside emerging AI integration protocols, and assess their relevance to Faro's platform roadmap.
• Available to work East Coast hours occasionally to accommodate customers in Europe and Asia.

Qualifications

• Bachelor's degree required in Computer Science, Engineering, Life Sciences, or a related technical field; Master's preferred.
• 5+ years of product management experience, with at least 2 years focused on platforms, integrations, or technical products.
• Experience managing external integrations or platform ecosystems in life sciences.
• Strong technical foundation, including an understanding of data architecture, APIs, system integrations, and cloud platforms such as AWS, Azure, or GCP.
• Proficiency in at least one programming language, preferably Python, with the ability to prototype integrations, inspect data, and troubleshoot technical issues.
• Practical experience building or managing integrations for applications powered by large language models (LLMs), including tool calling, structured outputs, and workflow orchestration.
• Working knowledge of Model Context Protocol (MCP), including client and server concepts, tools and resources, authentication, and authorization; hands-on experience prototyping or implementing an MCP client or server is a plus.
• Understanding of retrieval augmented generation (RAG), embeddings, and vector search, including how source data quality, access permissions, and traceability affect results.
• Ability to define evaluation criteria for AI integrations, including task completion, tool execution reliability, failure handling, latency, and cost.
• Understanding of AI integration risks and controls, including prompt injection, sensitive data exposure, tool permissions, auditability, and human oversight.
• Experience with AI evaluation and observability tools.
• SQL knowledge.
• Experience integrating a product using external APIs to produce one-off reports is a plus.
• Excellent analytical and problem-solving skills; ability to translate complex user needs into scalable technical solutions.
• Strong communicator able to bridge business and engineering domains and present technical concepts clearly to non-technical audiences.
• Experience with regulated data environments, including HIPAA or GxP, is a plus.
• Available to work East Coast hours occasionally and adjust schedules as needed to accommodate customers in Europe and Asia.

Annual Salary: The salary range for this position is $162,000 to $191,000.

Equity: In addition to the base salary, equity will be a major component of the total compensation. Faro aims to offer higher-than-average equity compensation for a company of its size, and equity amounts are communicated at the time of offer issuance.

• Life Insurance (Basic)
• Short Term and Long Term Disability
• Paid Time Off (Flexible Vacation Policy; Paid Sick & Public Holidays Observed)
• Training & Development Reimbursement
• Company/department outings and events
• Stock Option Plan

The role is hybrid for San Diego-based employees, who work from home and in Faro's San Diego HQ. Remote employees work from home and visit the main office for group events and in-person collaboration. All candidates must be current California residents.

Is this role fully remote or hybrid? The role is hybrid for San Diego-based employees, who work from home and in Faro's San Diego HQ. Remote employees work from home and visit the main office for group events and in-person collaboration. All candidates must be current California residents.

The annual salary range is $162,000 to $191,000. In addition, equity is described as a major component of total compensation, with Faro aiming to offer higher-than-average equity for a company of its size.

What is the salary range for this Technical Product Manager position? The annual salary range is $162,000 to $191,000. In addition, equity is described as a major component of total compensation, with Faro aiming to offer higher-than-average equity for a company of its size.

The core schedule is based in California (Pacific Time), but candidates must be available to work East Coast hours occasionally to accommodate customers in Europe and Asia.

Do I need to work specific time zones or hours? The core schedule is based in California (Pacific Time), but candidates must be available to work East Coast hours occasionally to accommodate customers in Europe and Asia.

Yes - practical experience building or managing integrations for LLM-powered applications is required, including tool calling, structured outputs, and workflow orchestration. Working knowledge of Model Context Protocol (MCP) is expected, with hands-on prototyping experience being a plus.

Is experience with AI integrations required for this role? Yes - practical experience building or managing integrations for LLM-powered applications is required, including tool calling, structured outputs, and workflow orchestration. Working knowledge of Model Context Protocol (MCP) is expected, with hands-on prototyping experience being a plus.

Experience managing external integrations or platform ecosystems in life sciences is listed as a requirement. Familiarity with standards such as CDISC, HL7 FHIR, and ODM is expected, while experience with regulated environments like HIPAA or GxP is listed as a plus.