Enterprise Applied AI Engineer

assemblyai

United States

Hybrid

USD 240,000 - 300,000

Full time

4 days ago
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Benefits offered by this job

Equity
Employer-paid benefits
401(k) match

Job summary

assemblyai is seeking a technically strong leader to guide strategic enterprise sales engagements in a hybrid role based in the United States. You will translate customer needs into rigorous assessments, design credible tests, and drive pilots and proofs of concept with engineering and data science teams.

You will work closely with sales and executives, shaping architecture, deployment plans, and security/compliance responses for large-scale evaluations across customer environments.

Qualifications

  • Significant experience in a customer-facing technical role supporting enterprise accounts.
  • Experience leading extended technical evaluations involving large organizations and multiple stakeholder groups.
  • Strong programming skills in Python, TypeScript or JavaScript; ability to read and debug other languages.
  • Fluency in machine-learning evaluation; ability to design credible tests and interpret results.
  • Ability to advise enterprise customers on implementation and communicate with technical teams and executives.

Responsibilities

  • Lead technical discovery and build relationships across customer engineering, data science, platform and security groups.
  • Agree on evaluation goals, test sets and success measures; run assessments and correct weaknesses in methodology.
  • Explain results and make technical recommendations to engineering leaders and executives.
  • Advise on architecture, deployment, scale, concurrency, privacy and compliance; lead technical responses to security reviews, RFPs and questionnaires.
  • Develop proofs of concept and production pilots on customer systems, and support production A/B tests.
  • Coordinate customer requirements with research and engineering, support transition to post-sale implementation teams, and develop reusable evaluation frameworks and technical materials.

Job description

Role overview

Serve as the technical lead on strategic enterprise sales engagements for voice AI products, guiding customers from initial discovery through evaluation, vendor selection and production launch. The role pairs closely with enterprise sales counterparts and customer engineering teams, translating technical needs into rigorous assessments, viable deployment plans and successful pilots.

Responsibilities
  • Lead technical discovery and build relationships across customer engineering, data science, platform and security groups.
  • Agree on evaluation goals, test sets and success measures; run assessments and correct weaknesses in methodology.
  • Explain results and make technical recommendations to engineering leaders and executives.
  • Advise on architecture, deployment, scale, concurrency, privacy and compliance; lead technical responses to security reviews, RFPs and questionnaires.
  • Develop proofs of concept and production pilots on customer systems, and support production A/B tests.
  • Coordinate customer requirements with research and engineering, support transition to post-sale implementation teams, and develop reusable evaluation frameworks and technical materials.
Requirements
  • Significant experience in a customer-facing technical role supporting enterprise accounts, including a record of contributing to successful enterprise sales.
  • Experience leading extended technical evaluations involving large organizations and multiple stakeholder groups.
  • Strong programming skills in Python, TypeScript or JavaScript, and ability to read and debug other languages.
  • Fluency in machine-learning evaluation and the ability to design credible tests and interpret results.
  • Ability to advise enterprise customers on implementation and communicate clearly with both technical teams and executives.
  • Based in San Francisco, New York City or London, able to work from an office three days per week and travel around 25–40% for customer and team events.
Nice to have
  • Experience with speech, audio or voice AI; sales into contact centers, healthcare or regulated industries; or work at a high-growth startup or API-focused infrastructure company.
  • Public speaking or conference experience.
Benefits and work setup
  • The role is hybrid, with office attendance expected three days weekly and substantial customer travel.
  • Listed total compensation is $240,000–$300,000 OTE in the U.S. or £145,000–£175,000 OTE in London. The package also includes equity, employer-paid benefits and, for U.S. employees, a 401(k) match up to 4%.
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