layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…
Job opportunity
Principal Solutions Engineer, Data & AI
US
Source: Raydar careers · View original posting
- Pay
- $275,000 — $325,000 USD per year
- Employment
- full time
Employer job description
From Raydar's posting. “We” and “our” refer to the employer.
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
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted:
Listing check
- Employer posted
- · 57 days ago
- Status
- Listed as a current opening
- Apply goes to
- Workable, the employer's hiring system
How to spot a ghost jobGhost Job Checker: check another job link
The checker shows whether the employer still lists a job.