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.

As the Lead Product Manager for data and AI, you will occupy a key strategic and operational role within the company. Faro Health is a data driven company, sourcing and ingesting a range of different clinical data sets and using machine learning models to provide analytical insights on a trial's costs, patient burden and a range of outcomes. We also use structured trial data to generate protocol documentation using large language models (LLMs), and to integrate with downstream clinical information systems. As Lead Data and AI Product Manager you will define the company's overall data and AI strategy, working with customers, executives, and our clinical team to identify analytical reporting needs and collaborating with our data team to source and onboard new data sets, as well as our AI engineering team to envision, design, and implement predictive models. Strategically you'll map out the end-to-end data reporting user journeys with our customers and clinical team, identify pain points, distill user requirements, and own our product roadmap for data analytics. Operationally you will lead a cross-functional team to design and launch data and AI driven features that deliver real business value in terms of optimizing trial design through key data insights, integrating with other clinical systems, and making it easier to onboard clinical trials into Faro's platform.

Requirements

Duties and Responsibilities

• Lead the vision, strategy, and execution of Faro's data analytics and other data related capabilities that encapsulate our machine learning models and various data sources, defining an ambitious roadmap for product development that delivers real business value in an innovative way
• Mentor and support product managers, collaborate with and inspire engineers, UX designers, QA, devops, and the rest of the cross-functional product team
• Drive the product feature release plans with detailed schedules, phases, milestones, and launch dates
• Gather and synthesize user feedback and insights into actionable product requirements, user stories, and product specifications
• Formulate, track, analyze, and communicate metrics to guide product success and evolution, ensuring applications provide value and exceptional user experience
• Deeply understand the AI and data analytics landscape, ensuring we have an objective view of competitors' capabilities, industry trends, current research, and stake out an industry leading position
• Be a visible evangelist for AI and data analytics in the life sciences space; represent the company at conferences, with the press, in written articles and blog posts

Qualifications

• Bachelor's degree required, preferably in physical or life sciences, statistics, or computer science disciplines. A Masters degree in one of these technical areas is preferred.
• Minimum 7+ years experience in Product Manager roles leading data analytics and AI strategy and product at high performing technology organizations, launching products that have found distribution or commercial success. Experience in the life sciences domain is preferred.
• Demonstrated thought leadership and innovation in coming up with data analytics, visualization, and AI driven product concepts that solve challenging problems in innovative ways
• Strong analytical and problem-solving skills; ability to interpret complex requirements and translate into actionable steps that create real value. Demonstrated ability to quickly gain domain expertise in new industries and standards
• Knowledge of AI/ML concepts, platforms, and tools and their application to real world problems; some hands on experience delivering AI driven features preferred
• Excellent communication and presentation skills; conveying complex information to both technical and non-technical audiences within and outside the organization, in both live presentation and written forms
• Proficiency in data analysis tools and technologies; experience with some combination of SQL databases, data visualization tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure, GCP), and Python/R/other data science oriented languages.
• Understanding of data architecture and infrastructure; familiarity with the design and deployment of data warehouses, data lakes, and data pipelines. Experience with enterprise system and data integration projects preferred.

Benefits

Annual salary

The expected salary range for this position is $159,000-$197,000

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 days & public holidays observed
• Continuous training & development with up to $1000/year reimbursed fees subject to manager approval