Enterprise Applied AI Engineer
AssemblyAI2 days ago
London, United Kingdom +2 moreSenior
Responsibilities
- Act as the technical lead on strategic enterprise deals from discovery through vendor selection and production rollout.
- Map customer technical organizations and build relationships with developers, data science teams, evaluation teams, platform teams, security teams, and executives.
- Design and run customer evaluations by defining success criteria, test sets, metrics, and fair benchmarking methodologies.
- Present evaluation results and technical recommendations to engineering leaders and executives.
- Advise on architecture, deployment options, scaling, concurrency, data privacy, compliance, and data residency.
- Lead the technical portions of security reviews, RFPs, and questionnaires.
- Build proofs of concept and production pilots on customer technology stacks and support production A/B tests.
- Work onsite with customers for workshops, evaluation reviews, and implementation planning.
- Partner with Research and Engineering on enterprise requirements and communicate the enterprise voice of the customer into the roadmap.
- Coordinate handoff to post-sale Forward Deployed Engineers and remain involved through launch.
- Help create reusable evaluation frameworks, reference architectures, templates, and enterprise technical playbooks.
Requirements
- Significant experience in an enterprise customer-facing technical role.
- A strong track record of closing enterprise business as the technical counterpart in the sales cycle.
- Experience leading multi-month technical evaluations involving large organizations and many stakeholders.
- Strong programming skills in Python and/or TypeScript/JavaScript, with the ability to read and debug other languages.
- Fluency in ML evaluation, including metrics, test-set design, and fair benchmarking.
- Working knowledge of AWS, GCP, Azure, enterprise security and compliance, SOC 2, HIPAA, GDPR, and data residency.
- Ability to communicate effectively with developers through CTO-level decision-makers.
- Comfort with real-time streaming APIs, WebSockets, and audio fundamentals.
- Fluency with AI tools such as Claude or Cursor.
- Autonomy and judgment to run accounts with little oversight.
- Experience with speech, audio, or voice AI products is preferred.
- Experience selling into contact centers, healthcare, or other regulated industries is preferred.
- Experience at a high-growth startup or API-first infrastructure company is preferred.
- Public speaking or conference experience is preferred.
- Must be based in San Francisco, New York City, or London and willing to travel approximately 25–40% of the time.
Benefits
- The role is expected to work from the San Francisco, New York City, or London office three days per week.
- The role includes approximately 25–40% travel for customer onsites, events, and team offsites.
- The package includes competitive equity grants and 100% employer-paid benefits.
- US-based full-time team members receive a 401(k) match of up to 4%.
Categories
Solutions Engineering
About AssemblyAI
AssemblyAI builds speech-to-text and speech understanding models—such as transcription, diarization, and summarization—delivered through a developer-focused API with usage-based pricing. Its platform is used to process over a million hours of audio daily and handle hundreds of millions of inference calls per month. Founded in 2017 and headquartered in San Francisco, the privately held company serves developers and businesses building voice-enabled products and workflows.