Technical Product Manager

Faro AI

. Own Faro’s platform and integration strategy and define and execute the integration roadmap.

Posted 11/7/2026full-timeCalifornia • United StatesMid-LevelSenior💰 $162,000 - $191,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing integration strategies, leveraging Python and APIs to create scalable solutions for clinical trial systems. Proficient in managing platform ecosystems and ensuring compliance with AI integration standards and protocols.

Highest-signal resume keywords

Integration Strategy DevelopmentPython ProgrammingAPI Design and ManagementPlatform Ecosystem ManagementData Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAPIsData ArchitectureSQLModel Context Protocol (MCP)AI Integration EvaluationIntegration PrototypingCloud PlatformsClinical Trial SystemsAI Evaluation Tools

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication Skills

Tools & Technologies

AWSAzureGCPCDISCHL7 FHIREmerging AI Integration Protocols

Industry Keywords

Life SciencesClinical TrialsIntegration ReliabilityEcosystem GrowthAI Task Completion

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Own Faro’s platform and integration strategy and define and execute the integration roadmap.
Translate customer and partner technical requirements into product and integration specifications.
Design, prototype, and validate integration solutions using Python, APIs, and other technical tools.
Drive integrations through discovery, design, testing, and launch.
Define requirements for connecting Faro’s AI capabilities with customer systems, external data sources, and tools through APIs and MCP.
Establish reusable AI workflow interfaces, structured inputs and outputs, data contracts, error handling, and human approval steps.
Define authentication, authorization, source traceability, and auditability requirements for AI interactions.
Collaborate with Data Science, Engineering, Product Design, and Customer Strategy.
Define platform standards, documentation, and tools for internal teams and external partners.
Evaluate and prioritize integrations across clinical trial systems.
Define KPIs for platform performance, integration reliability, adoption, ecosystem growth, AI task completion, tool reliability, latency, and cost.
Track CDISC, HL7 FHIR, ODM, and emerging AI integration protocols.
Serve as the bridge between customers, partners, and engineering teams to enable scalable, secure, compliant clinical-trial collaboration.

Requirements

What you’ll need

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 data architecture, APIs, system integrations, and cloud platforms such as AWS, Azure, or GCP.
Proficiency in at least one programming language, preferably Python, with ability to prototype integrations, inspect data, and troubleshoot technical issues.
Practical experience building or managing integrations for LLM-powered applications, 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.
Understanding of retrieval augmented generation (RAG), embeddings, and vector search.
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.
Excellent analytical and problem-solving skills.
Strong communication skills and ability to bridge business and engineering domains and present technical concepts to non-technical audiences.
Available to work East Coast hours occasionally and adjust schedules to accommodate customers in Europe and Asia.

Benefits

Comp & perks

Competitive compensation
Generous vacation
Parental leave
Flexible working hours
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
Remote employees work from home and visit the main office for group events and in-person collaboration