Senior Solutions Engineer, GTM Engineering

Join a discovery call with an enterprise customer's IT team to scope a new-hire sync between Workstream and their payroll provider, and leave with a clear technical spec.

Debug a failing data sync, ship the fix, and write the runbook so Support can resolve it without you next time.

Pair with another engineer on the team to review an integration build and pressure-test the approach before it goes to production.

Turn a request you've now handled three times into a configurable, self-serve option.

Flag a recurring pattern in integration requests to Product as evidence for a platform-level fix.

Technically deep and broad. Proficient in full stack development with hands-on experience in AI Coding and Python. Comfortable with REST APIs, data transformation, and workflow automation platforms like Workato.

Genuinely good with customers. A strong track record in customer-facing technical roles, with the ability to translate technical concepts for non-technical stakeholders.

A capable project manager. You can run 5-6 concurrent integration projects of varying complexity, with varying deadlines, without dropping threads.

A creative problem solver. Strong analytical thinking, and a bias toward building the durable solution rather than the fast patch.

A clear communicator. Effective in writing and in conversation, with both technical and non-technical audiences.

Minimum qualifications

5+ years of professional experience in full stack development, including hands-on integration or API work

Demonstrated experience with AI Coding and Python fluency

Experience with version control (GitHub) and modern development fundamentals

Experience with workflow automation tooling

Proven history of direct customer interaction in a technical role

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Nice to have

Prior experience in SaaS implementation, professional services, or solutions engineering

Familiarity with payroll, HRIS, or workforce management systems (ADP, Paychex, UKG, CrunchTime, or similar)

Experience building internal tooling or self-service automation that reduced a support burden

Comfort using AI tooling to accelerate spec work, code, testing, data mapping, and documentation

Assigned integration projects ship on time, and ship at a quality that holds up in production

The backlog of integration requests shrinks rather than grows

Customer satisfaction ratings on integration work stay high

Custom solutions transition cleanly into production and toward self-service

Recurring requests get automated away instead of repeatedly absorbed