QA Engineering Manager

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🏄 California – Remote

🏄 California – Remote

💵 $190k - $235k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🔧 QA Engineer (Quality Assurance)

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Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

💰 $47M Series B on 2022-11

Artificial Intelligence • SaaS • API

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• 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

🏖️ 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