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Artificial Analysis

Product Manager (AI Speech)

Artificial Analysis is hiring a Product Manager (AI Speech) in San Francisco, United States. Level rates it ; you can apply on Artificial Analysis.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions OpenAI, Anthropic and Hugging Face among its tools and skills.
  • Level classes it as a mid-level role.
  • Artificial Analysis has 17 other open roles on Level.

AI in this role

Own product roadmap and evaluations for speech AI benchmarks and leaderboards.

OpenAIAnthropicHugging FaceElevenlabs
product-managementspeech-aibenchmarkingevaluations

Job Description – Product Manager (AI Speech)

Location: San Francisco, CA (on-site, 5 days a week, in our San Francisco office)

About Artificial Analysis

Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don’t just measure the cutting edge of AI, they are actively shaping the frontier.

Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.

We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D’Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.

The Opportunity

Speech is becoming AI’s next interface: text to speech, speech to text, voice cloning and real-time voice agents are moving from demos into infrastructure, and our speech benchmarks are how the industry tracks who is winning. We’re hiring into our speech pillar to drive that coverage.

You’ll build and extend our speech evaluations and arenas, from streaming speech to text and voice cloning to next-generation speech-to-speech intelligence with benchmarks like AgentTalk, and work at a deep technical level with the leading speech AI companies to benchmark their latest models as they launch.

What You’ll Do

• Benchmark the Speech Frontier: Own coverage across text to speech, speech to text and speech to speech, benchmarking new models and providers as they launch

• Design Speech Evaluations: Build and extend the evaluation frameworks, prompt libraries and arenas that reflect how developers and creators actually use speech models, including agentic voice through AgentTalk

• Partner with Speech Leaders: Work with the top speech AI companies in the world at a deep technical level to benchmark their models and shape how the industry measures voice

• Publish Influential Analysis: Produce the leaderboards, reports and analysis that shape how the industry understands speech AI progress

• Drive Product Direction: Shape the roadmap of our speech benchmarking platform together with our engineers and pillar lead

• Become AI-Native: Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking

What We’re Looking For

You should know speech AI from the inside.

Backgrounds include: product, research or engineering roles at speech AI companies (e.g. ElevenLabs, Cartesia, Inworld, Sesame, Deepgram, AssemblyAI, Rime or similar), voice teams at larger platforms (e.g. OpenAI, Google, Microsoft), or teams building products on text to speech, speech to text or real-time voice.

Required:

• 3+ years of professional experience, including at least 1 year working hands-on with speech AI

• Strong analytical and critical thinking skills

• Proficiency in Python and data analysis

• Hands-on familiarity with modern speech models and their evaluation: quality assessment, word error rate and latency measurement, and preference testing

• Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools

Why Artificial Analysis?

• Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.

• Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.

• Work with the most important players in AI: You’ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.

• Join at a defining moment: We’re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.

• Competitive compensation including equity

How we rate this

Product Manager (AI Speech) at Artificial Analysis rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product ManagementSpeech AIBenchmarkingEvaluationsOpenAIAnthropicHugging FaceElevenlabs

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$178k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. Tell me about a project where product management was part of your work. What did you do?
  2. Tell me about a project where speech ai was part of your work. What did you do?
  3. Tell me about a project where benchmarking was part of your work. What did you do?
  4. Tell me about a project where evaluations was part of your work. What did you do?
  5. Walk me through how you've used OpenAI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Product Management, Speech AI, Benchmarking, Evaluations, and OpenAI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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