Manager, Software Engineering

Position overview: We’re looking for a Software Engineering Manager who blends technical depth with product intuition — someone who doesn’t just deliver features, but cares deeply about how they work, feel, and perform. You’ll lead a cross-functional engineering team modernizing one of the world’s most trusted governance, risk, and compliance platforms as we move forward to the direction of the AI native software development. This is not a pure “people manager” or “ticket shepherd” role. We’re looking for someone who: Enjoys getting close to the product, collaborating daily with Product and UX to craft exceptional user experiences. Brings a QA mindset — cares about stability, edge cases, and how things actually behave in users’ hands. Thrives in uncertainty and isn’t afraid to explore new paths or challenge assumptions. Wants to lead by example and elevate the team — technically, culturally, and strategically. Key Responsibilities Lead and grow a cross-functional engineering team, combining developers and QA engineers into a high-performing unit with shared accountability for quality and delivery. Collaborate closely with Product Managers and Designers to shape features from ideation to delivery — focusing on usability, performance, and customer value. Raise the engineering bar through thoughtful code reviews, mentoring, and continuous improvement practices. Drive technical direction: influence architecture, cloud strategy, observability, and test automation approaches. Cultivate quality ownership: partner with QA to evolve testing frameworks, increase automation coverage, and make quality everyone’s responsibility. Leverage AI and automation to remove friction from development, testing, and operations — identifying opportunities for intelligent tooling and integration. Champion responsible AI practices, ensuring transparency, explainability, and control in every AI-assisted capability. Foster a culture of curiosity and experimentation — encouraging engineers to prototype, measure, and iterate rapidly. Contribute hands-on when needed (code reviews, architecture discussions, proof-of-concepts) while empowering your team to own their solutions. What You’ll Bring 7+ years of professional software engineering experience, including 3+ years in a people management role. A solid technical foundation — comfortable discussing system design, code quality, and architectural trade-offs. A product-focused mindset — you think in terms of user impact and aren’t satisfied until the experience feels right. Strong experience leading teams in agile environments, balancing delivery speed with technical quality. Experience with modern development practices: CI/CD, trunk-based development, infrastructure-as-code, etc. Understanding of QA practices and automation, and an appreciation for testing as a first-class citizen in software development. Familiarity with AI/ML concepts and curiosity about practical applications (you don’t need to be a data scientist, but you should know what’s possible). Excellent communication skills — you can translate between product, design, and engineering worlds effortlessly. Preferred Experience Hands-on background in .NET, Angular, Python or Node.js Experience with Cloud (AWS/Azure/GCP), CICD, DevOps, SQL/NoSQL databases Use of AI-assisted developer tools such as Copilot, CodeWhisperer, or automated code review systems. Track record of shipping high-quality, user-centered products. A natural drive to push boundaries, learn fast, and make others better around you. #LI-Hybrid About Us Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. At Diligent, we're building the futu