Job Specifications
Company Overview
Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram's voice-native foundational models - accessed through APIs or as self-managed software - due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm
At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5. The Opportunity
You'll ensure Deepgram's rapid releases don't sacrifice quality, compliance, or customer trust. As QA Engineering Manager, you'll be the quality owner across product lines, embedding testing discipline into engineering culture and scaling it with our growth. What You'll Do
Own QA Strategy & Execution:Define and execute the cross-product test strategy (manual + automated) with daily/weekly validation cycles.
Build & Lead Team:Manage, mentor, and grow a QA team spanning engineers and specialists.
Cross-Engineering Alignment:Partner with product and engineering managers to embed testing into every release pipeline.
Test Infrastructure & Tooling:Drive strategy and adoption of frameworks, automation platforms, and CI/CD quality gates.
Governance & Compliance:Own QA oversight for HIPAA, PCI FedRAMP, and all applicable quality standards.
Quality Metrics & Reporting:Define KPIs, publish regular dashboards, and lead quality reviews with engineering and product leadership.
Release Candidate Qualification:Be the final gatekeeper for release signoff, balancing risk and velocity for our frontier AI services.
Customer Feedback Integration:Tie production monitoring and support feedback into QA strategy and iteration cycles.
Exploratory Testing:Foster edge-case discovery and testing creativity to prevent regressions and long term improvement for frontier research based products. You'll Love This Role If You
Enjoy owning the quality strategy across all product lines and lead the team responsible for ensuring Deepgram products meet the highest standards of reliability, objective and subjective quality as a customer-focused leader
Like balancing hands-on technical oversight with strategic leadership, building out QA frameworks and automation, as well as orchestration and governance that scale with our engineering velocity It's Important to Us That You Have
7+ years in QA or Software Engineering with 2-3+ years in a leadership/managerial role
Proven experience leading test strategy and execution in SaaS, APIs, or AI/ML platforms
Expertise in test automation frameworks, CI/CD integration, and cross-platform validation
Familiarity with compliance frameworks (HIPAA, SOC2, FedRAMP)
Strong communicator, capable of aligning quality priorities across engineering, product, and operations
Data-driven mindset: experienced in defining and acting on KPIs and operational metrics Benefits & Perks Holistic health
Medical, dental, vision benefits
Annual wellness stipend
Mental health support
Life, STD, LTD Income Insurance Plans Work/life blend
Unlimited PTO
Generous paid parental leave
Flexible schedule
12 Paid US company holidays
Quarterly personal productivity stipend
One-time stipend for home office upgrades
401(k) plan with company match
Tax Savings Programs Continuous learning
Learning/Education stipend
Participation in talks and conferences
Employee Resource Groups
AI enablement workshops/sessions
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI indust
About the Company
Enterprise Voice AI platform designed for developers building voice-first products using speech-to-text, text-to-speech, or speech-to-speech APIs. Over 200,000 developers build with Deepgram's voice-native foundational models, accessed via APIs or self-managed software. Start building with $200 in free credits! Beyond that, developers can: Process live-streaming or pre-recorded audio with superior accuracy Convert text into natural-sounding AI voices for enterprise use cases with text-to-speech Easily build voice agents w...
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