Forward Deployed Engineer, Strategic Accounts

HeyGen•Los Angeles, CA

1d•Hybrid

About The Position

At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com . Visit our Mission and Culture doc here . About the role HeyGen is building the AI video platform that Fortune 500 enterprises run their content operations on. Our strategic customers are not looking for another SaaS tool. They want production AI systems that plug into their LMS, their CRM, their HR stack, and their brand controls, and that their employees and end-users actually use every day. Closing the gap between what our APIs can do and what each enterprise needs them to do is the job. We're hiring our first Forward Deployed Engineers to own that gap. As a Forward Deployed Engineer on Strategic Accounts, you'll embed with our most technically complex enterprise customers and ship production AI video systems alongside their engineering teams. You'll own the last mile of delivery: discovery, technical scoping, architecture, build, rollout, and the eval-driven feedback loop back into HeyGen's product and model roadmap. You'll operate autonomously, partner directly with customer engineering leaders and VPs, and represent HeyGen at the technical frontier. Typical questions you'll help answer look like: "How do we let 40,000 customer service reps generate branded training videos in twelve languages without going through our marketing team?" "How do we embed a live avatar into our product onboarding flow so every new user gets a conversational walkthrough in under 20 milliseconds of latency?" "How do we make HeyGen safe to deploy across a regulated pharma's field medical team with full avatar consent, audit logging, and subprocessor controls?" You'll work side by side with our Product, Engineering, Sales, and Customer Success teams. Your field insights will directly influence what HeyGen ships next. San Francisco or Los Angeles. Hybrid. Expect 25–40% travel to customer sites.

Requirements

3+ years in software engineering, solutions architecture, or a similar builder role.
You're comfortable shipping production-grade code in Python and JavaScript/Node.js.
Hands-on experience building with LLMs or other generative AI systems in production, including familiarity with prompt engineering, agent development, and evaluation frameworks.
You understand how model behavior affects product experience.
Working knowledge of API design, webhooks, and cloud infrastructure.
The ability to move fluidly between a customer engineering standup and a VP-level business conversation, and to explain technical trade-offs to both audiences without losing either.
High agency under ambiguity. You're energized by building a function that doesn't exist yet rather than joining one that does.

Nice To Haves

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. We especially want to hear from you.

Responsibilities

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.
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.
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.
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.
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.