Senior Sales Engineer, AI Data Solutions

We Breathe Life Into Data

At the company, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At the company, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at the company

The Sales Engineering team partners with Sales to deliver expert technical support for the company's real-world data, AI-powered analytics, and software for our Life Sciences customers. We act as trusted advisors — bridging data and AI expertise with commercial strategy to help clients solve their most pressing challenges and reduce the burden of disease.

The Senior Sales Engineer provides technical, data, and AI-solution expertise across the discovery, qualification, value-alignment, and solution-design stages of the sales cycle. The through-line of the role is simple: help life sciences clients  see a transformed workflow — analyses that used to take weeks, run live in minutes — and connect that directly to their commercial outcomes.

You are the kind of person who builds their own tools. You turn one-off analyses into reusable assets, automate your own workflow, and have spent real time hands-on with AI — building or experimenting with agents, apps, and analytics co-pilots. You don't wait for enablement to hand you a script; you build the thing yourself.

What you'll accomplish in your first 12 months

• Become a go-to expert for the company's AI-powered platform — routinely running live, plain-language analyses that compress weeks of work into minutes and shorten the path from discovery to close.

• Develop deep fluency in the company's Healthcare Map and real-world data assets, and in how our analytics and AI products solve specific customer pain points.

• Build a personal library of reusable, AI-centric demo assets and proof-of-value frameworks — and share them so the whole team moves faster.

• Confidently articulate the company's trustworthy-AI approach — grounded, explainable, reproducible, verified, governed — to technical buyers, customer AI councils, and compliance/procurement stakeholders, clearing the AI-related blockers that stall deals.

• Strengthen the Sales Engineering and Sales partnership through better discovery, qualification, and solution design — and surface cross-sell and expansion paths across the company portfolio.

• Build trusted client relationships by tying the company's data and AI capabilities to clients' commercial outcomes and ROI.

These are the essential job duties you will be responsible for

• Partner with Sales during discovery to identify the technical, data, and AI requirements, pain points, and desired commercial outcomes for life sciences clients.

• Provide expert guidance on healthcare claims and real-world data — clinical ontologies, identity resolution, patient-journey insights.

• Design and present tailored solutions that combine the company's Healthcare Map, AI engine, and software products to meet client objectives — and quantify the business value.

• Run technical and AI-powered demonstrations — live, plain-language analyses and no-code exploration — and handle the off-script, ad-hoc question with a real answer in the room rather than "we'll get back to you."

• Position how the company's differentiated AI compares to general-purpose foundation models and other real-world-data vendors, addressing model trust, data provenance, reproducibility, and governance.

• Support customer AI councils, security reviews, and enterprise procurement to unlock and accelerate larger, multi-product deals.

• Identify and shape expansion opportunities across the company's products to grow account revenue.

• Navigate the internal review process for technical proposals — aligning Legal, Compliance, Security / AI Governance, and Product.

• Feed customer and competitive signals back into the product and AI roadmap.

• Mentor junior SEs and share reusable, AI-centric best practices and assets.

What you bring to the company (required)

• Experience. 6+ years in Sales Engineering, Solutions Engineering, or Technical Account Management, selling software, real-world data, and analytics to life sciences / pharmaceutical companies.

• Domain depth. Deep familiarity with large BioPharma functional areas (e.g., Commercial, HEOR/RWE, Medical Affairs), their workflows, and how each thinks about data and budget — with a track record of driving material improvements within them.

• A builder mentality. You create your own assets and tools and have hands-on experience building or experimenting with AI agents and applications (e.g., Claude Code, Cursor, LangFlow, data-science notebooks). Production deployments are not required — demonstrated tinkering, resourcefulness, and a bias toward building are.

• AI fluency. Working fluency with the AI/ML concepts relevant to enterprise analytics — LLMs, generative and agentic AI, retrieval-grounded analytics — and the ability to explain AI trust, reproducibility, and governance to both technical and non-technical buyers.

• A strong data foundation. Deep understanding of healthcare claims and real-world data (e.g., 837/835 data, NDC codes, clinical ontologies); working SQL and Python; APIs, data integration, and cloud architectures (AWS, Azure). Experience with privacy-preserving linking is a plus.

• The ability to demo and quantify. Demonstrated success demoing and positioning AI-powered analytics products and connecting their capabilities to measurable customer ROI.

• Range as a communicator. You translate complex technical and AI concepts into clear, business-relevant insight, and connect equally well with executive and technical stakeholders.

Nice to have

• Experience navigating HIPAA, GDPR, and the compliance and AI-governance implications for life sciences clients.

• Technical certifications in AWS, Azure, or data platforms.

• Experience with CRM platforms like Salesforce to manage client interactions and pipeline.

#LI-Remote

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position is also eligible for commissions in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City

$164,000 — $222,000 USD

All Other US Locations

$153,000 — $193,000 USD

The company's AI Standard

At the company, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

The company has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

The company provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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