Associate Product Lead
Posted on February 21, 2026 (3 months ago)
This job post is archived - the company is no longer hiring for this position.
Check out other job posts of this company here!Associate Product Lead
Location: Palo Alto, CA. Hybrid (US). Travel required (approximately 15%-20% depending on active projects).
Job Summary
The Associate Product Lead will work directly with healthcare clients to discover, design, build, and deploy custom AI assistant solutions. This client-facing role involves traveling to health system sites to conduct discovery sessions, map workflows, and rapidly prototype AI-powered products using internal development platforms. The role owns the full product lifecycle—from initial stakeholder conversations through deployment and evaluation—and reports to Product Leadership.
Key Responsibilities
- Travel to client sites for extended engagements to conduct stakeholder interviews and uncover high-value use cases for AI assistants
- Lead discovery sessions with health system employees across departments and levels, from frontline staff to executives
- Map existing workflows and identify opportunities where AI assistants can drive measurable impact
- Rapidly prototype solutions using internal AI development platforms (Assistant Builder, Abstractive, and similar tools) during on-site engagements
- Build and configure AI assistants with appropriate knowledge bases, prompts, and workflows tailored to specific client needs
- Create detailed product specifications documenting use cases, user requirements, data sources, and success metrics
- Evaluate AI assistant outputs for accuracy, relevance, and alignment with client needs; troubleshoot and iterate throughout development
- Lead user testing sessions and incorporate feedback into product refinements; coordinate rollout plans including user training and support
- Partner with Product Leadership to identify scalable use case opportunities and contribute to client and executive presentations
- Conduct data analysis to support business cases and measure product impact; document best practices and share knowledge internally
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related technical field (Master's preferred)
- 2-4 years of management consulting experience at a top consulting firm (e.g., McKinsey, BCG, Bain) or product management experience at a top technology company
- Healthcare industry experience required (health systems, healthcare technology, or consulting with healthcare clients)
- Demonstrated proficiency with generative AI technologies and LLM-based applications, including prompt engineering and AI application development
- Track record of direct client engagement and relationship building
- Comfort with ambiguity and ability to move quickly in a fast-paced startup environment; able to work onsite in Palo Alto 3 days/week
Desired Qualifications
- Hands-on experience building custom AI applications or chatbots
- Familiarity with healthcare workflows, clinical terminology, and health system IT environments
- Experience with data analysis and visualization tools
- Background in user research or design thinking methodologies
Skills & Attributes
- Technical Depth: Strong understanding of LLMs, prompt engineering, and applying AI tools to solve business problems
- Client Presence: Professional polish and confidence to represent the company and build trusted relationships with healthcare stakeholders
- Communication: Ability to translate technical concepts for non-technical audiences and facilitate productive stakeholder conversations
- Problem Solving: Creative, analytical thinker who can translate client needs into actionable product requirements
- Adaptability: Comfortable working in diverse healthcare environments and iterating rapidly based on feedback
- Travel Readiness: Willingness to travel frequently to client sites for extended periods
- Initiative: Self-directed and able to operate independently while aligning with Product Leadership
What We Offer
- Competitive startup salary and equity packages
- Health, dental, and vision insurance
- Flexible working hours and hybrid work options
- Opportunity to work at the forefront of AI in healthcare and impact patient care and outcomes
- Vibrant and inclusive work environment that fosters creativity and innovation
Pay & Benefits
The pay range for this role is between $165,000 and $200,000 and will depend on skills, qualifications, and experience. This role is also eligible for equity and benefits.
How to Apply
To apply, please submit your resume through the application form on this page. Use the "Apply" button to access the Greenhouse application and upload your resume, cover letter (optional), and any other requested materials.
Application Details
The application includes required fields (name, email, phone, resume) and optional demographic and veteran/disability self-identification questions. Candidates should be prepared to indicate work authorization for the United States and confirm willingness to travel to client sites. The role is hybrid and requires onsite presence in Palo Alto three days per week.