Senior Forward Deployed Engineer (Remote Build)

Remote

Description

Salary Range
$53,300 – $215,750 / year (varies significantly by location)

Work Policy
Fully Remote (North America), ~10% travel for customer visits

Experience Level
Senior

Job Type
Full-Time

Remote is hiring a Senior Forward Deployed Engineer to work directly with customers, building and shipping AI-powered solutions that connect Remote’s platform into customer systems and workflows. You’ll take messy, real-world requirements and turn them into production-ready integrations, automations, and agentic workflows, then feed what you learn in the field back into reusable patterns the rest of the product team can build on.

About Remote

Remote helps companies of any size hire, pay, and manage international teams while staying compliant with local employment law. The company runs fully async and fully remote, with staff spread across six continents, and builds automation and AI capabilities into every role by default. Remote maintains four employee resource groups — Women, Disability, Queer, and Minorities in Tech — that meet regularly with the People team.

What You’ll Do

  • Work directly with customers to understand their operational challenges, constraints, and what success actually looks like, running structured technical discovery to define a clear ‘done.’
  • Turn open-ended, ambiguous problems into concrete technical designs — architecture, data flows, integration points, security considerations, and a rollout plan.
  • Build AI-powered solutions that connect into customer systems and Remote’s own platform — things like data pipelines, workflow automations, tool integrations, and agentic services that actually complete real tasks end to end.
  • Own what you deploy, including reliability, performance, observability, incident response, and ongoing improvements.
  • Build ways to evaluate and measure AI behavior — success metrics, test harnesses, golden datasets, regression tests, and safety/quality guardrails.
  • Use real data to check your work, measure impact, and iterate quickly based on evidence rather than guesswork.
  • Work closely with Product and Engineering to ship high-quality solutions and push reusable pieces back upstream into the core product.
  • Turn one-off customer solutions into repeatable playbooks, reference architectures, templates, and internal tooling other engineers can use.
  • Act as the voice of the field — bringing back concrete customer needs, edge cases, and constraints that should shape where the product goes next.

What You’ll Need

  • A track record of shipping production software (backend or full-stack) and owning it once it’s live — comfortable with on-call, debugging, and instrumentation.
  • Strong systems and integration thinking: APIs, event-driven systems, webhooks, auth (OAuth, service accounts), data modeling, idempotency, and how things fail.
  • Real applied AI/LLM experience beyond side projects — prompt and tool design, RAG and retrieval patterns, evaluation methods, and balancing latency, cost, and reliability.
  • Comfort operating in ambiguity, going from a rough problem statement to a shipped solution without a lot of hand-holding.
  • Clear, structured written communication, with the ability to explain trade-offs to both technical and non-technical audiences.

Nice to Have

  • Experience working within enterprise environments — security reviews, compliance constraints, procurement, change management.
  • Background building with agent frameworks or workflow orchestration systems.
  • Familiarity with HRIS, payroll, identity/access management, or similar enterprise domains.
  • Experience with multi-tenant SaaS, role-based access control, and privacy-by-design principles.

Practicals

You’ll be part of the Remote Build / Customer Engineering team, working fully remote with the ability to overlap with customer working hours as needed. Expect roughly 10% travel for in-person customer engagements.

Benefits

Work from anywhere, flexible paid time off, flexible async working hours, 16 weeks of paid parental leave, a budget for co-working spaces, learning, and wellness (including gym memberships), mental health support services, stock options, and a home office budget with IT equipment.

To apply for this job please visit job-boards.greenhouse.io.