Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

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.

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.

• 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.

• 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

• 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

• Medical, dental, vision benefits

• Annual wellness stipend

• Mental health support

• Life, STD, LTD Income Insurance Plans

• 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

• Learning / Education stipend

• Participation in talks and conferences

• Employee Resource Groups

• AI enablement workshops / sessions

*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.

Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!

Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

We are happy to provide accommodations for applicants who need them.