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Ai Speech Jobs (NOW HIRING)

Sr. AI Engineer (Speech)

Bay, AR · On-site +1

$117K - $155K/yr

Your Role As a Sr. AI Engineer: Speech, you'll be a senior technical leader on our Speech Team, shaping the models and systems that make Dialpad's next-generation AI voice agents accurate, natural ...

$90K - $119K/yr

Your role As a Sr. AI Engineer: Speech, you'll be a senior technical leader on our Speech Team, shaping the models and systems that make Dialpad's next-generation AI voice agents accurate, natural ...

Sr. AI Engineer (Speech)

San Francisco, CA · On-site +1

$144K - $190K/yr

Your Role As a Sr. AI Engineer: Speech, you'll be a senior technical leader on our Speech Team, shaping the models and systems that make Dialpad's next-generation AI voice agents accurate, natural ...

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Ai Speech information

What is an AI Speech specialist?

An AI Speech Specialist is a professional who works with technologies that enable computers to understand, process, and generate human speech. This role often involves developing, training, and improving speech recognition and synthesis systems using artificial intelligence and machine learning techniques. AI Speech Specialists collaborate with linguists, data scientists, and engineers to enhance voice assistants, transcription services, and other speech-driven applications. Their work helps make voice interfaces more accurate, natural, and accessible to users worldwide.

What are the key skills and qualifications needed to thrive as an AI Speech engineer, and why are they important?

To thrive as an AI Speech Engineer, you need a strong background in computer science, machine learning, and signal processing, typically supported by a relevant degree. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Kaldi, and experience with speech recognition APIs or natural language processing libraries is essential. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in collaborative, innovative environments. These skills ensure the development of accurate, reliable, and user-friendly speech technologies that meet real-world needs.

What are some typical challenges faced by professionals working in AI Speech roles, and how can they be addressed?

Professionals in AI Speech roles often encounter challenges such as handling diverse accents and dialects, background noise interference, and the need for real-time processing. Addressing these challenges typically involves continuous data collection, model training, and collaboration with linguists and software engineers to fine-tune algorithms. Staying updated with the latest research and leveraging large, high-quality datasets can significantly improve system accuracy and user experience.

What is the difference between Ai Speech vs Speech-Language Pathologist?

AspectAi SpeechSpeech-Language Pathologist
Required CredentialsTypically no formal certification; may have specialized training in AI and speech techMaster's degree in Speech-Language Pathology and state licensure
Work EnvironmentTech companies, AI development labs, software platformsHospitals, clinics, schools, private practices
Industry UsageDeveloping speech recognition and synthesis tools using AIDiagnosing and treating speech and language disorders
Common Search/ComparisonAI speech vs speech-language pathologist

Ai Speech professionals focus on creating and improving speech recognition and synthesis technologies using AI, often working in tech environments. Speech-Language Pathologists diagnose and treat speech disorders in clinical settings. While both work with speech, Ai Speech is tech-centric, whereas Speech-Language Pathologists are healthcare providers.

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Infographic showing various Ai Speech job openings in the United States as of September 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 67% In-person, and 33% Remote job distribution.

Product Manager (AI Speech)

San Francisco, CA • On-site

Other

Re-posted yesterday


Job description

The Opportunity

We're hiring for a Product Manager focused on AI speech (text-to-speech, speech-to-text, voice cloning, real-time voice, and more). You'll work closely with us to develop and enhance our speech arenas and leaderboards, contributing to product strategy and execution at the intersection of voice technology and AI.

This is a hands-on, technical product role: you'll drive day-to-day operations for our speech offering and be a key contributor to product development, collaborating closely with engineering and analysis colleagues, as well as our founders. You'll write and run experiments, curate datasets and prompts, and work with top companies in the field to benchmark their latest models.

If you're excited about cutting‑edge speech models and care deeply about how developers and creators are using them (from app builders to content creators to accessibility applications), this role offers a front‑row seat to the next wave of AI.

What You’ll Do
  • Product Development for Speech AI Benchmarking: Contribute to Speech AI product strategy and help execute the roadmap for our speech evaluation platforms, including text-to-speech, speech-to-text, voice cloning, and emerging capabilities — including working with engineers on our team to develop features and potentially coding features yourself

  • Curate and Develop Speech Evaluation Frameworks: Build and maintain comprehensive frameworks, prompt libraries, and evaluation techniques that reflect real-world usage patterns to test the capabilities, strengths, and weaknesses of speech models. Our aim is to reflect not just how developers and creators are using speech models today, but how they might use future models in the coming months and years

  • Speech Operations: Ensure that coverage of speech models across Artificial Analysis stays up to date by benchmarking new models and providers — both working with our development team and using our tooling yourself (e.g. running Python scripts)

  • Voice Quality & Use Case Analysis: Deeply understand how developers and creators are pushing the boundaries with AI speech tools, and translate these insights into evaluation frameworks that help users understand AI capabilities

  • Strategic Marketing Support and Community Engagement: Help amplify the impact of our speech benchmarks, collaborating with our team to maximize impact of our content across platforms and audiences

  • Industry Engagement: Work with leading companies to benchmark their speech models, understanding their capabilities and helping shape industry standards for how AI speech capabilities are evaluated

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

What We’re Looking For

Required:

  • Strong analytical and critical thinking skills

  • Excitement about AI and eagerness to work at the forefront of technological innovation

  • Demonstrated excellence, both academically and professionally

  • Real interest in speech AI models

Beyond that, this opportunity could potentially suit a wide range of backgrounds. We believe that the following skills and experience would likely be helpful for success in this role. We're not expecting any single candidate to tick off the entire list, but these are some things that we think would be valuable:

  • Experience working with speech AI models — especially building products leveraging recent TTS, STT, or voice cloning models

  • Experience working in a product role at a voice/audio software company (e.g. ElevenLabs, Descript, Resemble AI) or in a startup environment

  • Experience in strategy consulting

  • Academic success in a technical degree programme, especially related to AI (e.g. Computer Science, Engineering), or in a related technical field (e.g. Physics, Maths, Linguistics)

  • Strong writing skills, especially in relation to explaining technical topics to both technical and non‑technical audiences

  • Visual communication skills (e.g. making slides, visualizing data)

  • A strong perspective on AI scaling laws — and specifically their implications for speech models

  • Publication record in AI/ML or speech processing conferences or journals

  • Familiarity with modern AI language models (e.g. developing systems leveraging LLMs as a component)

  • Experience working in software engineering or data science

  • Proficiency in Python and data analysis libraries (e.g. pandas, numpy, matplotlib); experience with AI/ML frameworks (e.g. PyTorch, TensorFlow)

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 35+ people and fast growing, 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

  • Our team is split across San Francisco, Sydney, and Melbourne

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