Drimva

InterSystems

Sales Engineer - Financial Services

$88K–$128K

Boston, MA · Full-time · Posted May 15, 2026

Experience
5+ years as a Sales Engineer, Software Developer, or in related role(s) in the Financial Services domain; also asks for proven experience in Sales Engineering or a similar technical role.
Education
A degree in Computer Science, Engineering, or a related technical field.

About the job

A client-facing sales engineering role supporting financial services prospects and customers through technical solution design, demonstrations, implementation guidance, and pre-sales activities.

What you'll do

  • Design and present proofs of concept, prototypes, and technical solution architectures; advise on development, migration, upgrades, and operations.
  • Work with account representatives, customers, system integrators, and project teams to support adoption and successful implementations.
  • Deliver training and demonstrations, contribute to proposals and sales collateral, and communicate customer needs to product teams.

What they ask for

  • 5+ years of experience as a Sales Engineer, Software Developer, or in related roles in the Financial Services domain.
  • Ability to answer technical questions during the sales cycle; proficiency in architecture design and technical documentation.
  • Demonstrated experience with most/all of the listed technical areas, including programming, databases, data engineering, analytics, AI/ML, APIs, and cloud technologies.
  • Excellent communication and presentation skills; ability to lead proofs of concept and oversee implementation teams.

Nice to have

  • Relevant technical certifications related to InterSystems products or similar technologies.
  • Experience with Financial Services-related organizations is a plus.

Pay

$88,000 — $128,000 USD (base salary)

Tools

SQL, NoSQL, Python, GenAI, RAG, MCP, Angular, Kubernetes

AI focus

Technical work includes data engineering using GenAI and RAG, and Machine Learning and Generative AI use cases. The employer may use AI for internal recruitment administration, but not to make or influence hiring decisions.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)