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NEXTMOVEFDE careers · United States

Forward Deployed Product Engineer

AI summary of the role

Forward Deployed Product Engineer at a Series B AI voice-agent startup for home services.

What you’ll do

  • Embed with customers to understand their business and deploy AI voice agents that work from day one.
  • Build production integrations into customer CRM/FSM systems (APIs, webhooks, data flows) plus monitoring and feedback loops.
  • Translate real-world business requirements into clean technical architecture and shipped code.
  • Spot patterns across deployments and turn them into reusable tooling and product improvements.

What you’ll bring

  • 3+ years in software engineering with strong full-stack or backend fundamentals.
  • Proficient in TypeScript/JavaScript (Next.js, React, Node/Fastify); comfortable with PostgreSQL and AWS.
  • Strong communicator able to work with technical and non-technical stakeholders.
  • Comfort working in dynamic environments with shifting priorities.

Technologies

TypeScript · JavaScript · Next.js · React · Node · Fastify · PostgreSQL · AWS · LLMs · AI agents · vector databases · voice/telephony

Source and classification

Production engineering · Evidence for this classification:

Forward Deployed Product Engineer, you'll embed directly with the largest brands in home services — learning how their businesses actually run, then designing and shipping the AI systems that run their front lines. This isn't a solutions role where you hand off specs and stop coding: you own the build end-to-end, from the first customer conversation to a live deployment handling real call volume. And because you have the deepest view of what customers actually encounter, what you learn in the field feeds directly into our core product roadmap. What You’ll Do Embed with customers to deeply understand how their business runs, then design and deploy AI voice agents that work from day one. Build production integrations into customer CRM/FSM systems (APIs, webhooks, and data flows) plus the monitoring and feedback loops that keep them healthy. Translate messy, real-world business
More from the job description

About Avoca Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers. We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 130+ employees in under two years across our NYC headquarters and Santa Barbara office. In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact. About the Role As a Forward Deployed Product Engineer, you'll embed directly with the largest brands in home services — learning how their businesses actually run, then designing and shipping the AI systems that run their front lines. This isn't a solutions role where you hand off specs and stop coding: you own the build end-to-end, from the first customer conversation to a live deployment handling real call volume. And because you have the deepest view of what customers actually encounter, what you learn in the field [... source excerpt omitted ...] our core product roadmap. What You’ll Do Embed with customers to deeply understand how their business runs, then design and deploy AI voice agents that work from day one. Build production integrations into customer CRM/FSM systems (APIs, webhooks, and data flows) plus the monitoring and feedback loops that keep them healthy. Translate messy, real-world business requirements into clean technical architecture and shipped code. Spot patterns across deployments and turn them into reusable tooling and product improvements that scale beyond a single customer. Operate with high autonomy in high-stakes, ambiguous environments. Serve as the on-site technical presence for strategic ac [... source excerpt omitted ...] technical and non-technical stakeholders. Comfort working in dynamic environments with shifting priorities. Eagerness to work in person with us in NYC full time., with travel to customer sites for key deployments. Bonus: experience with LLMs, prompt engineering, AI agent frameworks, vector databases, or voice/telephony infrastructure. Your first 6 months Month 1: Onboard into our TypeScript/voice-AI stack, shadow a live deployment, and ship your first production changes to a customer integration. Month 3: Own the technical build on a strategic account end-to-end — scoping the integration, standing up the agent, and validating it against customer-agreed success criteria. Mo

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