Deepgram is the leading platform for the Voice AI economy, providing real-time APIs for speech technologies. As a QA Engineering Manager, you will be responsible for defining and executing the quality assurance strategy across product lines while managing and mentoring a QA team to ensure product reliability and compliance with quality standards.
Responsibilities:
- 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
Requirements:
- 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