Solutions Engineer

IANS is hiring a Solutions Engineer 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 Because this function is still taking shape, the role will flex as the team learns what’s needed — this is a builder’s role in the scope of the work, not a promise of a particular future title or team. We’re looking for someone energized by learning quickly, comfortable with ambiguity, and happy being a jack-of-all-trades while the function finds its footing Run technical discovery and build tailored demos for prospects, partnering with Account Executives on scoping and follow-up Stand up and run trial / proof-of-concept environments around a prospect’s own use cases Answer the integration and security questions that come up during evaluations, bringing in the Senior Solutions Architect for the gnarly, enterprise-scale stuff Lead installation and onboarding for new clients: configuring IANS MCP connections, entitlements, and data scope, and validating the integration end-to-end before go-live Partner with Account Managers across MCP accounts — running client training and office hours, and owning day-to-day client questions wherever you’re plugged in Own connector troubleshooting for whichever client needs it, coordinating directly with Engineering on anything that needs a fix upstream and looping in the Senior Solutions Architect for the trickier cases Monitor adoption and usage post-launch, and run technical health checks ahead of renewals and QBRs alongside the Account Management team Build and maintain onboarding runbooks, configuration checklists, and a library of reusable demo / POC assets Flag where repeatable systems should replace one-off effort, based on patterns you’re seeing across the clients you touch Feed prospect, client, and competitive signal back to the Senior Solutions Architect and Product/Engineering Benefits Social: Monthly ‘Club IANS’, annual summer outings, team events and social gatherings Work Environment: Hybrid (2 days/week) in our vibrant Boston office with a weekly lunch stipend Work/Life Balance: PTO, paid holidays, sick time, Summer Fridays 401(k) Program: Fidelity 401(k) plan with company match Employee Recognition: Annual incentive program, monthly shout outs and peer-to-peer recognition Health Coverage: Medical, dental & vision, deductible reimbursement, fitness stipend, Calm app Pre-Taxed Benefits: Dependent care FSA, healthcare FSA, transit, parking Volunteer Opportunities: Employee-led community volunteer initiatives, paid volunteer day A generalist’s instinct: comfortable owning varied, ambiguous work across the full lifecycle without a fixed playbook to follow2–4 years in a technical, customer-facing role — sales engineering, technical account management, IT/security support, implementation, or similarBasic working knowledge of APIs and integration patterns (REST, OAuth, webhooks), or a fast learner’s ability to pick this up quicklyComfort in customer-facing conversations, including with technical and non-technical stakeholdersStrong attention to detail and documentation habits — you can follow a runbook precisely and help improve itGenuine 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 jobExposure to the Claude Agent SDK, MCP servers, or other LLM application frameworksPrior experience in a SaaS onboarding, implementation, or technical support roleExposure to cybersecurity concepts, or experience supporting security products or security teams #J-18808-Ljbffr