Staff Sales Engineer, AI Data Solutions

About the role

This role centers on providing technical and AI-driven expertise to support the sales cycle for our life sciences partners. You will act as a bridge between complex data assets and commercial strategy, helping clients modernize their workflows through our Healthcare Map and AI analytics platform.

Key facts

What you'll do

• Partner with Sales to identify client technical requirements, data needs, and commercial goals during discovery.
• Design and present custom solutions that integrate our Healthcare Map, AI engine, and software products.
• Conduct live, plain-language technical demonstrations and handle ad-hoc inquiries in real time.
• Explain our approach to trustworthy AI, including data provenance, reproducibility, and governance, to technical and procurement stakeholders.
• Build reusable demo assets and proof-of-value frameworks to improve team efficiency.
• Navigate internal reviews involving Legal, Compliance, Security, and Product teams.
• Mentor junior team members and provide feedback to the product and AI roadmap teams.

Requirements

• 10+ years of experience in Sales Engineering, Solutions Engineering, or Technical Account Management within the life sciences or pharmaceutical industry.
• Deep familiarity with BioPharma functional areas such as Commercial, HEOR/RWE, and Medical Affairs.
• Hands-on experience building or experimenting with AI agents and applications, such as Claude Code, Cursor, LangFlow, or data-science notebooks.
• Working fluency in LLMs, generative AI, agentic AI, and retrieval-grounded analytics.
• Strong foundation in healthcare claims and real-world data, including 837/835 data, NDC codes, and clinical ontologies.
• Proficiency in SQL, Python, APIs, and cloud architectures like AWS or Azure.
• Experience navigating HIPAA, GDPR, and AI governance requirements for regulated industries.

Nice to have

• Familiarity with responsible-AI frameworks and enterprise AI evaluation processes.
• Technical certifications in AWS, Azure, or data platforms.
• Experience with Salesforce for pipeline management.
• Proficiency in data visualization tools like Tableau or Looker.

Skills & tools

• AI/ML: LLMs, Generative AI, Agentic AI, Retrieval-grounded analytics
• Data: Real-world data, Healthcare claims (837/835), NDC codes, Clinical ontologies
• Technical: SQL, Python, APIs, AWS, Azure
• Tools: Claude Code, Cursor, LangFlow, Salesforce, Tableau, Looker

Practical notes

• Compensation: $164,000 to $222,000 USD for San Francisco Bay Area and New York City; $143,000 to $193,000 USD for all other US locations.
• Benefits: Eligible for commissions, equity awards, comprehensive health/dental/vision insurance, 401(k) with company match, flexible time off, and disability/life insurance.
• Work Model: Hybrid model with hubs in San Francisco, New York City, and Chicago; this position is listed as remote.