QA Engineering Manager

As QA Engineering Manager at Deepgram, you will own the quality strategy across all product lines, ensuring rapid releases maintain high standards of quality, compliance, and customer trust. You will define and execute cross-product test strategies, build and lead a QA team, drive test infrastructure, and integrate customer feedback to continuously improve frontier AI services.

Must Have

• Own QA Strategy & Execution (manual + automated)
• Build & Lead QA Team
• Partner with product and engineering managers for testing integration
• Drive strategy and adoption of test infrastructure & tooling
• Own QA oversight for HIPAA, PCI FedRAMP, and quality standards
• Define KPIs, publish dashboards, and lead quality reviews
• Be the final gatekeeper for release signoff
• Tie production monitoring and support feedback into QA strategy
• Foster exploratory testing for edge-case discovery
• 7+ years in QA or Software Engineering
• 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 communication skills
• Data-driven mindset for KPIs and operational metrics

Good to Have

• Enjoy owning the quality strategy across all product lines
• Lead the team responsible for ensuring Deepgram products meet the highest standards of reliability, objective and subjective quality as a customer-focused leader
• Balance hands-on technical oversight with strategic leadership
• Building out QA frameworks and automation
• Orchestration and governance that scale with engineering velocity

Perks & Benefits

• 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

Company Overview

The company 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 the company'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 this company.

Company Operating Rhythm

At the company, 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 the company 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 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 the company's 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, the company 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 industry, we'd love to hear from you!

The company 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.