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The Engineering Manager will drive operational excellence, guide technical execution, coach engineers, foster collaboration, and integrate AI-assisted development practices.

As an Engineering Manager, you will lead AI engineering teams, drive operational excellence, foster innovation, and coach engineers to enhance their performance and collaboration.

Drive enterprise sales in the Corporate vertical: prospect, build pipeline, manage complex deals, facilitate technical demos and trials with Solution Consultants, maintain CRM records, and meet quarterly and annual quotas. Travel up to 30%.

Own quality for assigned features and services by designing risk-based test approaches, building automated API/UI/integration tests, integrating tests into CI/CD pipelines, monitoring pipeline health, and collaborating with engineers to improve testability and prevent defects. Apply AI/agent-assisted testing workflows and contribute to test frameworks and tooling.

Join as an SDET to design and manage automated test suites, create and maintain test cases and plans, write unit and API tests, track and verify defects, debug complex systems, and integrate testing into CI/CD pipelines while collaborating with engineering and DevOps.

Manage and grow relationships with public-sector and law enforcement customers, drive retention and expansion, coordinate evaluations and renewals, deliver presentations, and collaborate with internal teams to maximize customer success and adoption of Magnet Forensics solutions.

Lead Private Sector marketing strategy and demand-generation to meet $50M+ pipeline and revenue goals. Manage and develop a team, plan integrated multi-channel campaigns, align with sales/BDR, govern product launches, optimize budget and report measurable business impact.

Lead go-to-market strategy for Magnet Forensics' security, incident response, and AI product portfolio. Influence executive, product, and sales stakeholders; translate technical AI/ML and forensic capabilities into messaging; develop buyer personas; create sales enablement and demand-generation content; evangelize products at events; partner with competitive intelligence and customer advocacy; mentor product marketing team members.

Lead product vision, strategy, and execution for Examination & Analysis across desktop, cloud, hybrid, and platform environments. Own roadmap, prioritize portfolio investments, partner with AI, engineering, UX, and GTM, engage customers, track success metrics, and develop a team of Product Managers to deliver scalable forensic investigation workflows and capabilities.

Lead strategy and execution for agentic AI product experiences across the DFIR portfolio. Define roadmaps, ship reliable and governed agentic features, drive adoption and growth, instrument metrics and experiments, run continuous discovery, and collaborate cross-functionally to ensure trustworthy, scalable AI-native products.