Jobs at Magnet Forensics

As a Senior DevOps Engineer, you'll design, implement, and operate AWS network architectures, manage multi-account connectivity, and ensure network security and automation using IaC tools.

The Senior AI/ML Engineer will manage AI initiatives, design workflows, train models, collaborate cross-functionally, and mentor engineers to improve practices.

Operate and maintain production AWS/EKS Kubernetes clusters; design and ship infrastructure-as-code with Terraform; manage Helm charts and ArgoCD GitOps for multi-region SaaS; maintain observability (Grafana, alerting, logs); improve CI/CD pipelines; remediate container and infrastructure CVEs; support compliance (FedRAMP/SOC2/NIST); create runbooks and lead incident response and post-incident reviews.

Lead and hands-on contribute to embedded Linux platform development: bootloader, kernel, device trees, root filesystem, build/update systems, board bring-up, debugging, releases, and cross-team coordination. Provide technical leadership, plan work, delegate, and grow into formal management.

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.

Design, develop, and maintain robust, performant, secure software for the Review Team. Analyze requirements, estimate effort, participate in code reviews, troubleshoot and fix defects, guide best practices, and make product design and architecture decisions while collaborating across teams.

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.

Own a core area of Magnet AXIOM: define roadmap, bring AI-native capabilities (search, summarization, automation), partner with engineering and data science, run continuous customer discovery, drive adoption and growth, instrument and analyze product metrics, and support go-to-market and integrations across the platform.

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.

The Senior Product Manager for Graykey will oversee the product lifecycle, collaborating with engineering, design, and stakeholders to drive product strategy, requirements, and market positioning in digital forensics.

Lead strategy and execution for a new enterprise DFIR and cybersecurity offering. Define product vision and roadmap, engage customers for discovery, translate market insights into scalable solutions, partner with engineering/UX/GTM, use AI tools for product development, and track metrics to drive strategic outcomes.

The Vulnerability Researcher will develop and innovate digital investigative software, focusing on analyzing and securing evidence from various digital devices to aid in investigations and enhance national security.

Lead cloud cost visibility, forecasting, and optimization across AWS, Azure, and AI environments. Build and automate FinOps tooling and workflows, manage tagging and cost allocation, recommend and track savings plans/reservations, monitor anomalies, and collaborate with engineering and finance to drive cost efficiencies.