Forward Deployed Engineer, Onboarding
A
AssemblyAIVoice AI
Remote - New YorkFull-TimeJunior
Salary150,000 - 200,000 USD per year OTE
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Job Details
- Experience
- 2+ years
- Required Skills
- Node.jsPythonJavascriptSoftware Engineering
Requirements
- 2+ years of relevant experience as a software engineer, forward-deployed engineer, sales engineer, solutions architect, technical account manager, or similar customer-facing engineering role.
- Strong hands-on engineering skills—comfortable reading an unfamiliar Python or JavaScript/Node service, finding the bug, and writing the patch.
- Working fluency with real-time and streaming protocols, including WebSockets, audio pipelines, and latency budgets.
- Track record of carrying a number—net new customers, activation rate, expansion ARR, or similar—and consistently hitting it.
- Excellent written and verbal communication skills.
- Aggressive use of AI tooling in your own workflow (Claude Code, Cursor, Devin, custom agents); bonus if you’ve built or shipped your own.
- High sense of urgency and ownership, with the ability to manage multiple concurrent deals and context-switch frequently.
- Prior experience with voice AI, ASR, speech-to-text, telephony, or audio infrastructure is a plus.
Responsibilities
- Own a portfolio of in-flight leads across AssemblyAI’s product lines, driving them from first API call to consistent production usage against a quarterly new-customer goal.
- Reach out proactively the moment a developer’s usage ramps, diagnosing what’s blocking them from scaling and removing it before they go quiet.
- Read unfamiliar customer codebases quickly and ship working patches alongside their engineers, debugging real-time audio, WebSocket, and latency issues directly in their service.
- Tune model configurations for each use case—end-of-turn detection, keyterms, language coverage, async vs. real-time—and translate the tradeoffs to technical and non-technical stakeholders alike.
- Run discovery and architecture conversations about customer use cases, knowing when to push back and when to lean in.
- Steward technical wins through to commercial close: DPAs, MSAs, security reviews, stakeholder mapping, and multi-threading the buying team.
- Hand off graduated accounts cleanly with the context and written history required for a smooth transition.
- Aggregate lead feedback into structured signals for Product and Engineering, making sure the self-serve experience improves measurably because of the patterns you surface.
- Build internal tooling—agents, dashboard, AI workflows—that help the team operate ahead of the wave as lead volume grows.
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