A

AssemblyAI

API-based speech transcription and analytics

Head of Sales - Digital Native

Full-Time
$350k - $450k
Expert
San Francisco, CA, USA
HybridExpect to travel at least 50% of each month for customer visits, industry events, and team offsites.
Sales & Account ManagementAccount Executive

About the job

Requirements
  • At least 8 years of experience in technical sales and at least 4 years leading sales teams, including experience managing managers.
  • A track record of scaling a sales organization through a significant headcount increase, hiring and ramping at least 10 representatives, and building the management layer.
  • Experience selling infrastructure, application programming interfaces, or developer platforms to engineering and product buyers; experience with usage-based or consumption pricing is preferred.
  • Fluency with a product-led, bottoms-up motion that adds a sales team to self-serve adoption without disrupting existing adoption.
  • Technical credibility to discuss application programming interface architectures, model accuracy tradeoffs, latency, and deployment options with engineers and chief technology officers.
  • Demonstrated ability to design territories, quotas, and compensation plans, and to run a reliable forecast.
  • Ability to recruit, close candidates, and maintain a high hiring bar under pressure.
  • Willingness to travel at least 50% of each month for customer visits, industry events, and team offsites.
Responsibilities
  • Build and lead the digital native sales organization, scaling the current team of account executives and business development representatives into a larger sales organization within the next year.
  • Own the segment's land number, bringing in new customers and helping them scale production usage.
  • Hire, onboard, and develop front-line managers; establish the hiring bar, interview process, and ramp plan to make new account executives productive quickly.
  • Design the segment's coverage model, including territories, target account tiers, and specialization across the digital native account list.
  • Build the team's operating system, including forecasting, pipeline inspection, deal reviews, quota and compensation design, and performance metrics.
  • Partner with Applied AI Engineering and Forward Deployed Engineering to convert technical evaluations into deployed, growing usage.
  • Work with Engineering, Research, and Marketing to shorten the time from product launch to revenue.
  • Drive an outbound-first culture using custom benchmarks, competitive insight, and use-case-specific demonstrations to create pipeline and earn replies.
  • Represent the digital native voice of the customer to the leadership team and shape go-to-market strategy as new products launch.
Desired Qualifications
  • Experience selling infrastructure, application programming interfaces, or developer platforms in a usage-based or consumption pricing model.

About the company

AssemblyAI provides an API-driven Speech AI platform that converts audio and video into text and insights. Its models handle automatic transcription and add-ons like speaker diarization, sentiment analysis, and PII redaction, all delivered through scalable API endpoints so customers can integrate transcription and audio analytics into their own apps. Unlike many competitors, AssemblyAI emphasizes a combination of high accuracy, broad capabilities (including privacy-focused features), and ongoing model improvements from a research-driven team, with a subscription-based pricing model for access and data processed. The company aims to help businesses unlock voice data by turning speech into actionable information that can power products and services across tech, media, and enterprise sectors.

Company Size

51-200

Company Stage

Series C

Total Funding

$113.1M

Headquarters

San Francisco, California

Founded

2017

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Simplify's Take

What believers are saying

  • September 15, 2026 released Dictation API and Qwen3.5-4B LLM Gateway improvements.
  • AssemblyAI was named a G2 Spring 2026 Voice Recognition Leader on March 23, 2026.
  • Greenhouse listed 18 open roles on September 18, 2026, signaling active expansion.

What critics are saying

  • OpenAI Realtime and GPT-4o Transcribe undercut AssemblyAI’s premium transcription and realtime positioning.
  • AssemblyAI’s v2 realtime endpoint returned 410 in August 2026, forcing customer migrations.
  • Open-source Whisper and bundled competitors compress pricing; platform commoditization threatens standalone STT revenue.

What makes AssemblyAI unique

  • Universal-3.5 Pro Realtime targets voice agents with low-latency streaming and multilingual diarization.
  • October 22, 2025 LLM Gateway unifies voice-to-intelligence workflows behind one API.
  • AssemblyAI’s benchmarks page on September 21, 2026 shows Universal-3.5 Pro beating Whisper-1.

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Benefits

  • Competitive Salary + Bonus
  • Equity
  • 401k
  • 100% Remote team
  • Unlimited PTO
  • Premium medical, vision, & dental care
  • $1K budget for your home office setup
  • New Macbook Pro (or PC if you prefer)
  • 2x/year company paid team retreat

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-1%

2 year growth

0%
TokenPost
Oct 13th, 2026
AssemblyAI launches voice benchmark to cut LLM workload costs.

AssemblyAI launches voice benchmark to cut LLM workload costs. Voice Standard Bench compares more than 50 models across quality, response time and price for transcript-processing tasks ranging from 30 seconds to 60 minutes. Published Oct 13, 2026, 5:31 PM EDT AssemblyAI launched Voice Standard Bench on Oct. 13, 2026, comparing more than 50 large language models for voice-product workloads so developers can match model size and cost to each transcript task. The benchmark evaluates information extraction, summarization, text correction and dictation cleanup across transcripts lasting about 30 seconds, two minutes, 15 minutes and 60 minutes. Results use a 0-to-100 quality scale and include each model's cost per hour of audio and median response time. Voice applications often send speech-to-text transcripts to an LLM for cleanup, classification, structured extraction or summaries. AssemblyAI's approach is to select models based on the task and transcript length instead of using one model throughout a pipeline. AssemblyAI's LLM Gateway provides access to more than 50 models through one OpenAI-compatible application programming interface. It uses the same API key as the company's speech-to-text service. Listed rates as of Oct. 8, 2026, included $0.10 per 1 million input tokens and $0.50 per 1 million output tokens for Qwen3.5 4B Fast. Gemma 4 31B was listed at $0.14 for input and $0.40 for output, while GPT OSS 20B was priced at $0.07 and $0.30. Nemotron Lightning 3.5 30B A3B was listed at $0.05 for input and $0.20 for output. One example modeled 10,000 monthly support calls lasting about 15 minutes each, with 3,200 input tokens and 300 output tokens per call. Estimated monthly costs ranged from $141 for Claude Sonnet 5 to $4.70 for GPT-6 Luna. At 1 million calls per month under the same assumptions, projected costs were $14,100 for Claude Sonnet 5, $470 for GPT-6 Luna and $568 for Gemma 4 31B. "Most of it doesn't need one," Kelsey Foster said, referring to frontier models. The benchmark counts format failures, refusals, timeouts and errors in its quality scores rather than measuring only successful responses. Companies can test the open-source benchmark using their own voice transcripts, task instructions and specialized terminology. Global routing carries no markup, while routing within the United States or European Union costs 10% more. Claude Sonnet 4.5 on LLM Gateway is scheduled to retire on Nov. 30, 2026. Simon Yoon. Simon Yoon reports on blockchain technology for TokenPost. Send corrections or tips to [email protected].

AssemblyAI
Sep 12th, 2026
Announcing our $50M Series C to build superhuman Voice AI models

We're excited to share that we’ve raised $50M in Series C funding led by Accel, our partners that also led our Series A, with participation from Keith Block and Smith Point Capital, Insight Partners, Daniel Gross and Nat Friedman, and Y Combinator.

AssemblyAI
Jan 9th, 2025
Dev.to x AssemblyAI: Winter Speech-to-Text Challenge Winners

Last month, AssemblyAI, Inc. partnered with developer community hub Dev.to to host a winter hacking challenge!

Blockchain News
Nov 25th, 2024
Implementing Speech-to-Text with JavaScript and Node.js

AssemblyAI has released a comprehensive tutorial on utilizing its API to convert audio and video files into text using JavaScript and Node.js.

TechCrunch
Oct 15th, 2024
Gladia believes real-time processing is the next frontier of audio transcription APIs

Gladia competes with other well-funded companies in the space, such as AssemblyAI, Deepgram and Speechmatics.