Raydar

·last month

Raydar

·last month

Principal solutions engineer, data & ai

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Location

remote, United States

Salary

$175k – $200k/yr

Commitment

Full Time

Level

Senior (5+ years)

Required skills

Solutions engineeringSales engineeringData platformsSnowflakeDatabricksSQLHealthcare claims dataCPTHCPCSICD-10NPIAI toolsTechnical discoverySolution designEnterprise salesData architecture

Job Description

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

• 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

• 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

Ready to join the team?

Apply now

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Principal solutions engineer, data & ai

Required skills

Job Description

What you'll do

Bonus points

Ready to join the team?

Stop wasting hours on applications

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Over 200,000 job seekers trust us

Frequently Asked Questions

How does Global Work AI apply to jobs without spamming?

Is Global Work AI safe for my professional reputation?

Do I need a “perfect” resume to use Global Work AI?

What will my resume and cover letter look like before they’re submitted?

Will recruiters be able to tell that I used AI to apply?

What if I’m not satisfied with Global Work AI?

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