Technical Product Manager

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 lovely main headquarters enjoying a gym with classes and (early next year) spa services, outdoor lawn work area, and 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.

**Note: Candidates and Recruiting Agencies, please do not contact our employees regarding the position or your application status. Doing so will automatically disqualify you from the position or working with us. Only applications submitted through the designated link will be considered. We kindly ask that you please DO NOT SPAM our employees regarding the role or your application status.

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.

Requirements

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, and ecosystem growth, as well as 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.

Benefits

Annual salary

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

Equity

In addition to this position’s salary (listed above), equity will be a major component of the total compensation for this position. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k)
• Life Insurance (Basic)
• Short Term and Long Term Disability
• Paid Time Off (Flexible Vacation Policy; Paid Sick & Public Holidays Observed)
• Training & Development Reimbursement
• Hybrid Work Environment
• Peer-to-peer bonus program
• Company/department outings and events
• Stock Option Plan
• HQ On-Premises Amenities; gym, restaurants tenant discount, Padel Nine