AssemblyAI

AssemblyAI

Senior Forward Deployed Engineer

San Francisco · Senior · Full-time

Sponsorship not specified$140k-$240kDetected 4 days ago
PythonReactSQLMachine LearningLLMsComplianceProduct ManagementProduct StrategySalesResearchProblem Solving

About the role

  • We're looking for a Senior Forward Deployed Engineer to join our Success team and ensure customers have an outstanding experience throughout their journey with AssemblyAI.
  • You will onboard new customers, help them realize their product vision, and explore leading-edge use cases within voice AI.
  • This requires that you work directly with customers to integrate our voice AI models directly into current and future product features.

Responsibilities

  • Lead commercial and project meetings, focused on demonstrating the value of our voice AI capabilities.
  • Drive growth in customer usage of the API across varying product offerings and end customer use cases.
  • Act as a thought leader and customer advocate, providing insights and feedback to drive the future direction of our product roadmap.
  • Ability to proactively identify opportunities for voice AI integration and create detailed execution plans.

Requirements

  • Have 4+ years of experience as a technical account manager, account manager, solutions architect, sales engineer, or technical consultant.

Nice to have

  • Preferred experience working with SQL, Python, React, and web development frameworks.
  • Familiarity with AI/ML tools is a strong plus.

Skills

  • Why AssemblyAI
  • Our models serve 600M+ inference calls monthly, process 1M+ hours of audio daily, and power 2 billion+ end-user experiences.
  • Your creativity and problem-solving skills will be key in finding unique solutions for each customer's needs.

Compensation

  • $140,000 - $240,000 OTE
  • The expected base compensation for this role is listed above. Our total compensation package includes competitive equity grants, 100% employer-paid benefits, and the flexibility of being fully remote. 401k match up to 4% for US-based full time team members.
  • AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team.
  • Our salary ranges are set to be competitive for our size, stage, and industry, and reflect just one component of the full compensation, benefits, and rewards we offer.
  • Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team.
  • However, we are open to considering candidates who may fall above or below the outlined experience level-in those cases, we will communicate any adjustments to the expected salary range.

Benefits

  • AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity across our team.
  • Salary determinations consider a variety of factors, including relevant experience, technical depth, skills demonstrated during the interview process, and maintaining internal equity with peers on the team.

Company info

  • You will use your technical expertise to plan and execute on our customers' overall needs within voice AI, helping them choose the right plans, models, and use cases.
  • Additionally, you will play a pivotal role in ensuring customers are on the right plan and commercial agreement for their use cases with AssemblyAI.
  • Serve as the primary point of contact for customers, ensuring their needs are met throughout their journey with AssemblyAI.
  • Manage a portfolio of technical customers, primarily communicating asynchronously and ensuring timely, high-quality support.
  • Build strong connections with our customers to ensure their long-term success with our platform.
  • Are willing to wear many hats (software engineer, product manager, account manager, and support), passionate about unblocking issues for customers, and excited about problem-solving.

This listing is sourced directly from AssemblyAI's careers page and normalized into a canonical job model.