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Solutions Engineer

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At a Glance

Location
Boston, Massachusetts, United States
Experience
2–4 years
Posted
2026-07-21T14:35:10-04:00

Key Requirements

Domain Knowledge

  • Cybersecurity
  • Engineering
  • SaaS

Requirements

2–4 years in a technical, customer-facing role — sales engineering, technical account management, IT/security support, implementation, or similar.

Genuine interest in AI systems and dedicated, hands-on experience using AI tools day to day — including real experience using Claude — with a willingness to build deeper fluency in tool use and agent-tool protocols like MCP on the job.

Basic working knowledge of APIs and integration patterns (REST, OAuth, webhooks), or a fast learner's ability to pick this up quickly.

Comfort in customer-facing conversations, including with technical and non-technical stakeholders.

Exposure to cybersecurity concepts, or experience supporting security products or security teams.

Exposure to the Claude Agent SDK, MCP servers, or other LLM application frameworks.

Responsibilities

to own the technical side of our IANS MCP connector wherever the team needs it — from demos and proof-of-concept work through onboarding and ongoing client support.

This isn’t a dedicated book of accounts; it’s a flex role for someone who wants to build deep technical and AI fluency early in their career: a jack-of-all-trades who can run a demo, build a POC, take a client through onboarding, and troubleshoot day-to-day connector issues — start to finish, on whichever client needs it that day.

You’ll work alongside the Senior Solutions Architect, Account Executives, and Account Managers, picking up whichever pre-sales or post-sales work needs coverage across the team’s full set of clients.

Expect a short ramp of shadowing before you’re running things yourself — the Senior Solutions Architect sets direction and the runbooks, and takes the tougher, more complex accounts directly, but day to day you’re the one in the room with whichever client needs you.