Our client is a fast-growing MedTech SaaS company building a revenue-acceleration platform for medical device and diagnostics commercial teams. Founded in 2021, the 38-person company combines healthcare claims intelligence, data products, and AI-powered workflows to help sales teams bring life-changing medical innovations to more patients. The company has raised more than $30M from investors including Andreessen Horowitz, Fulcrum Equity Partners, Stage 2 Capital, and LiveOak Ventures.
We are hiring a Principal Solutions Engineer, Data & AI to become the company's founding technical pre-sales and data expert. You will define the solutions-engineering function from scratch, own the technical outcome of major enterprise deals, and connect commercial teams, customers, product, and engineering. This is a senior individual-contributor role for a hands-on builder who thrives in ambiguity and can translate complex healthcare data and AI capabilities into clear customer outcomes.
What you'll do
• Lead technical discovery, solution design, RFPs, security reviews, proof-of-value programs, and data-delivery scoping for enterprise deals
• Help customers configure data and AI products and deliver data into Snowflake, Databricks, APIs, and CRM environments
• Translate customer needs into product requirements and technical capabilities into compelling buyer narratives
• Own the technical narrative for AI and MCP products, including agentic workflows powered by healthcare claims intelligence
• Build reusable demo environments, discovery guides, answer libraries, and architecture patterns that scale beyond your direct involvement
• Partner closely with commercial, product, data, and engineering teams to drive deals forward without waiting for direction
Requirements
• 5 to 10 years of customer-facing solutions engineering, sales engineering, or solutions architecture experience
• A track record of owning full technical evaluations in complex enterprise deals
• Hands-on experience with modern data platforms such as Snowflake, Databricks, and SQL
• Strong healthcare industry fluency, including practical experience with claims data such as CPT, HCPCS, ICD-10, and NPI
• The ability to explain complex data concepts to both technical and non-technical customers
• Daily, hands-on use of modern AI tools such as Claude, ChatGPT, Cursor, or similar products
• US work authorization without current or future visa sponsorship
Bonus points
• Experience in MedTech, diagnostics, digital health, or healthcare commercial data
• Familiarity with REST APIs, CRM platforms, BI tools, Python, Delta Sharing, HIPAA, or SOC 2 requirements
• Experience with agentic workflows, Model Context Protocol, or other LLM-powered enterprise products
• A background at a healthcare claims, provider-intelligence, or real-world-data company
Benefits
• Base salary of $175K-$200K
• Target total earnings of $275K-$325K, including $100K-$125K in variable compensation
• Competitive equity
• Fully covered medical, vision, and dental insurance
• 401(k), learning and development budget, home-office stipend, and health and wellness stipend
• Fully remote within the United States
• Company and team on-sites approximately twice per year
• Full-time senior individual-contributor position
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
