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Salary: USD 165,000 - 194,000 / annual
Faro Health is transforming clinical trial design through a platform combining structured clinical data, advanced analytics, and artificial intelligence. The company helps life sciences organizations design higher-quality studies, reduce development costs, and accelerate therapy delivery to patients.
As Senior Product Manager, you will own a strategic product area end-to-end, from discovery through launch. You will define vision, roadmap, and execution while working closely with Engineering, Data Science, Product Design, Clinical Subject Matter Experts, and customers. The role focuses on designing workflows that combine structured data, AI, and expert review to improve how customers create, review, and optimize clinical studies.
Key responsibilities include:
**Product Strategy:** Own strategy, roadmap, and execution for a major product area. Identify customer problems through interviews, workflow analysis, product analytics, and market research. Translate customer needs into product strategies and prioritized roadmaps. Define success metrics and use data to continuously improve outcomes. Balance customer value, technical complexity, and business priorities.
**AI Product Development:** Design intelligent product experiences using structured data, large language models, retrieval systems, and automation. Partner with Data Science and Engineering to define AI capabilities including LLMs, Retrieval Augmented Generation (RAG), AI agents, workflow automation, prompt orchestration, and structured content generation. Define product requirements for AI capabilities with evaluation criteria, quality metrics, and confidence thresholds. Ensure AI outputs are transparent, explainable, and aligned with customer expectations and regulatory requirements.
**Customer Discovery:** Develop deep understanding of clinical development workflows and customer challenges. Map complete customer journeys and identify workflow simplification opportunities. Validate concepts through customer interviews, usability testing, and prototype evaluations. Partner with customers throughout development.
**Product Delivery:** Work closely with Engineering, Design, and Data Science throughout the lifecycle. Lead product planning, backlog prioritization, release planning, and customer adoption. Communicate priorities, tradeoffs, and progress to executives and stakeholders. Ensure releases deliver measurable value.
**Product Analytics:** Define and monitor KPIs including adoption, engagement, customer satisfaction, workflow efficiency, and AI quality. Use experimentation and analytics to improve performance. Develop evaluation frameworks measuring product quality and customer impact.
**Leadership:** Mentor Associate Product Managers and contribute to PM best practices. Foster collaboration across Engineering, Design, Clinical SMEs, Commercial, and Customer Success. Champion customer focus, experimentation, accountability, and continuous improvement.
First-year success includes delivering strategic product capabilities that improve customer outcomes, launching AI capabilities that simplify workflows while maintaining trust, increasing adoption and satisfaction through measurable improvements, establishing clear success metrics, and becoming a trusted leader across teams.
**Requirements:**
Required:
- Bachelor's degree in Computer Science, Engineering, Life Sciences, Business, or related discipline
- 5+ years of product management experience building enterprise software or SaaS products
- Demonstrated success leading products from discovery through commercial launch
- Strong customer discovery and product strategy experience
- Experience defining product roadmaps and prioritizing across multiple initiatives
- Excellent written and verbal communication skills
- Strong analytical and problem-solving abilities with data-driven decision making
- Proven ability to influence cross-functional teams without direct authority
Preferred:
- Experience building products incorporating artificial intelligence or machine learning
- Familiarity with LLMs (Claude, ChatGPT), Retrieval Augmented Generation, AI agents, semantic search, vector databases, and prompt engineering
- Experience partnering with Data Science teams to deliver AI capabilities into production
- Experience defining AI quality metrics and evaluation frameworks
- Experience in life sciences, healthcare, or other regulated industries
- Familiarity with cloud platforms, APIs, and modern data architectures
