High autonomy and direct ownership of customer outcomes — from discovery through production rolloutWork at the frontier of practical AI: shipping systems that are reliable, observable, secure, and measurableA seat at the intersection of Product, Engineering, Sales/CS, and customer teams — with clear influence on what we build nextExposure to a wide set of domains (HR, payroll, finance ops, IT, integrations) and complex enterprise ecosystemsA remote-first environment with strong documentation culture and high trustWhat you bringMust haveDemonstrated experience shipping production software (backend and/or full-stack) and owning it in production (on-call mindset, debugging, instrumentation)Strong integration and systems thinking: APIs, event-driven systems, webhooks, auth (OAuth/service accounts), data modeling, idempotency, and failure modesApplied AI/LLM experience beyond prototypes: prompt+tool design, RAG and retrieval patterns, evaluation, latency/cost trade-offs, and reliability practicesAbility to operate in ambiguity: you can go from “problem statement” to “shipped solution” with minimal hand-holdingClear, structured communication in writing; ability to explain trade-offs to technical and non-technical stakeholdersNice to haveExperience with enterprise environments (security reviews, compliance constraints, procurement, change management)Experience building with agent frameworks and/or workflow orchestration systemsFamiliarity with HRIS, payroll, identity/access management, or adjacent enterprise domainsExperience with multi-tenant SaaS, RBAC, and data privacy by designKey ResponsibilitiesPartner with customers to understand operational challenges, constraints, and success criteria; run structured technical discovery and define the “definition of done”Translate open-ended problems into clear technical designs and implementation plans (architecture, data flows, integration surfaces, security considerations, rollout strategy)Build AI-enabled solutions that integrate with customer systems and Remote's platform (e.g., data pipelines, workflow automations, tool integrations, agentic services) and perform real tasks end-to-endOwn deployments including reliability, performance, observability, incident response, and continuous improvementDevelop evaluation and measurement for AI behavior: success metrics, test harnesses, golden datasets, regression suites, and guardrails (quality, safety, privacy)Work with real data to validate outputs, quantify impact, and iterate quickly based on evidenceCollaborate cross-functionally with Product and Engineering to ship high-quality solutions and to upstream reusable componentsCreate leverage by turning one-off solutions into repeatable playbooks, reference architectures, templates, and internal toolingBe the voice of the field: bring back concrete customer needs, edge cases, and constraints that should shape product strategyPracticalsTeam: Remote Build / Customer Engineering (or equivalent)Location: RemoteTime zones: Ability to overlap with customer working hours as neededTravel: Whilst the majority of the work is Remote, please expect around 10% of travel for customer engagementsStart date: As soon as possibleRemote Compensation PhilosophyRemote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. BenefitsWork from anywhereFlexible paid time offFlexible working hours (we are async)16 weeks paid parental leaveMental health support servicesStock optionsLearning budgetHome office budget & IT equipmentBudget for local in-person social events or co-working spacesHow you'll plan your day (and life)We work async at Remote which means you can plan your schedule around your life (and not around meetings).