H

Hatch

Customer engagement platform with personalized playbooks

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeRemote in USA$144k - $200k

About the Job

Requirements

  • The candidate should have 1–4 years of software engineering experience and strong debugging skills, including the ability to diagnose broken production interactions without a stack trace.
  • The candidate must be able to navigate a broad technology ecosystem and comprehensive developer documentation, and distinguish when a problem calls for a core-code change versus middleware or automation tooling.
  • The candidate must verify fixes against real production data and take responsibility for correctness when shipping quickly and autonomously.
  • The candidate must communicate with business and technical audiences, resolve ambiguous requirements before building, provide proactive status updates, and own technical work and the client relationship rather than project management.
  • The candidate should use AI coding tools to accelerate investigation, tooling, and implementation while owning the correctness of shipped work.

Responsibilities

  • Root-cause voice AI failures by investigating agent spans, tool-call arguments, application logs, and warehouse queries; ship fixes to the voice pipeline and integration layer, gate risky changes behind feature flags, and verify fixes on live traffic.
  • Build and extend direct API integrations, webhook endpoints, event-driven triggers, and connectors for CRMs and scheduling systems; reconcile client business needs with actual API behavior.
  • Build local simulators, tools to replay production calls end-to-end, behavioral test suites, spans, metrics, and dashboards to identify call quality and regressions before rollout or customer impact.
  • Work in the model layer on prompt structure and guardrails, compare models using real traffic, assess latency, cost, quality, context budgets, rate limits, and tool-calling reliability.
  • Own technically complex client onboardings end-to-end and act as the primary technical consultant, supporting multi-system orchestrations, custom business logic, and systems without existing connectors; identify reusable patterns and potentially make onsite visits to present architectural solutions and support deployments.
  • Turn implementation learnings into product by identifying recurring patterns for R&D investment, building first-class product capabilities where appropriate, and handing them off to an R&D team.

Desired Qualifications

  • Experience shipping large language models into a real application, including prompt design, tool calling and orchestration, evaluations, and production-traffic failure modes.
  • Familiarity with the voice technology stack.

About the Company

Hatch

Customer engagement platform with personalized playbooks

Hatch is a customer engagement platform that helps businesses improve performance and grow revenue through personalized strategies and coaching. It provides hand-crafted playbooks that evolve with the business, one-on-one performance sessions, and strategic goal mapping. The product combines a subscription-based platform with services like coaching and customized playbooks to both deliver insights and actively help implement engagement strategies. Hatch differentiates itself by offering highly tailored playbooks and ongoing coaching that adapt as a business changes, emphasizing customer success and continuous improvement. Its goal is to boost client revenue and efficiency by delivering practical, evolving engagement plans and hands-on support.

Company size
201-500
Company stage
Acquired
Total funding
$11.1M
Headquarters
Richmond, VA
Founded
2016

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