Forward Deployed Engineer, Strategic Accounts

HeyGen HeyGen · Multimodal · Los Angeles, CA +2 · Sales

This role involves deploying and integrating AI video platform solutions for enterprise customers, acting as a bridge between customer needs and HeyGen's product/engineering teams. It requires owning end-to-end deployments, building on the HeyGen API, managing escalations, and providing feedback to product development. The role emphasizes customer-facing AI systems and requires hands-on experience with generative AI in production.

What you'd actually do

  1. Own end-to-end enterprise deployments. Lead technical discovery, architecture, and production rollout for our most complex strategic accounts. Integrate HeyGen cleanly into customer CRM, LMS, HR, and marketing stacks.
  2. Build on the HeyGen API and LiveAvatar. Ship real-time conversational agents, session-based lifecycles, and WebRTC integrations inside client applications. Produce reusable reference implementations, SDK wrappers, webhook integrations, and eval harnesses that later get pulled back into the platform.
  3. Run the hard escalations. Act as the senior technical owner on production-blocking issues. Advocate for the customers’ technical needs on streaming, latency, and integration failures, and coordinate cross-functional fixes with engineering.
  4. Close the product feedback loop. Translate messy real-world requirements into structured product input. Identify patterns across custom builds that should be generalized into the platform, and partner with core engineering to productize them.
  5. Be a trusted technical voice for customers. Explain model behavior, performance trade-offs, and roadmap to non-technical executives and to customer engineering teams in equal measure.

Skills

Required

  • 3+ years in software engineering, solutions architecture, or a similar builder role
  • Comfortable shipping production-grade code in Python and JavaScript/Node.js
  • Hands-on experience building with LLMs or other generative AI systems in production
  • Familiarity with prompt engineering, agent development, and evaluation frameworks
  • Understanding of how model behavior affects product experience
  • Working knowledge of API design, webhooks, and cloud infrastructure
  • Ability to move fluidly between a customer engineering standup and a VP-level business conversation, and to explain technical trade-offs to both audiences
  • High agency under ambiguity

Nice to have

  • WebRTC, real-time media, or low-latency streaming experience
  • Experience at an FDE, solutions engineering, or post-sales engineering org at a frontier AI or enterprise SaaS company
  • Experience as a technical founder or early engineer at a startup

What the JD emphasized

  • ship production AI video systems
  • own the last mile of delivery
  • technical scoping
  • architecture
  • build
  • rollout
  • eval-driven feedback loop
  • operate autonomously
  • partner directly with customer engineering leaders and VPs
  • represent HeyGen at the technical frontier
  • production AI systems
  • real-time conversational agents
  • session-based lifecycles
  • WebRTC integrations
  • production-blocking issues
  • streaming
  • latency
  • integration failures
  • reusable patterns
  • shipping production-grade code
  • building with LLMs or other generative AI systems in production
  • agent development
  • evaluation frameworks
  • API design
  • webhooks
  • cloud infrastructure
  • move fluidly between a customer engineering standup and a VP-level business conversation
  • explain technical trade-offs
  • High agency under ambiguity
  • building a function that doesn't exist yet

Other signals

  • Customer-facing AI deployments
  • Production AI systems
  • API integration
  • Real-time conversational agents
  • Low-latency requirements