QA Engineering Manager

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…