Jobs at Magnet Forensics

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.

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 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.

Design, implement, and operate scalable AWS network architectures (multi-account, multi-region). Build IaC (Terraform, CDK, CloudFormation), integrate with CI/CD, troubleshoot DNS/routing/firewall/VPN issues, automate with Python/Bash/PowerShell, monitor network health, and partner with application, platform, and security teams to ensure secure, reliable cloud connectivity and compliance.

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.

Respond to inbound leads and conduct outbound prospecting (phone, email, social) to qualify opportunities, schedule discovery meetings for Account Executives, manage contacts in Salesforce, and use prospecting and marketing automation tools to build pipeline and nurture relationships.

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.

Lead go-to-market strategy for Magnet Forensics' security, incident response, and AI product portfolio. Influence executives and cross-functional teams, develop buyer personas, translate technical capabilities into messaging, create sales enablement and demand-generation content, support sales training and events, mentor product marketing teammates, and drive competitive positioning and customer advocacy.

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.

Lead strategy and operations for Magnet's cloud platform and shared services, ensuring reliability, security, compliance, cost governance, and developer experience. Oversee cloud infrastructure, observability, CI/CD, identity services, FinOps, AI enablement, vendor management, and cross-functional initiatives to support large-scale SaaS products.

Design, build, test, and maintain Magnet One cloud platform features across front-end and back-end. Collaborate on architecture, perform code reviews, troubleshoot defects, and drive best practices for secure, performant, and maintainable software.

Lead product operations by designing cross-functional processes, running end-to-end programs, owning executive reporting cadences, and building analytics for product and revenue health. Partner with Product, UX, Engineering, Sales Ops, and Marketing to improve tooling, data quality, and decision-making, and to institutionalize durable processes and documentation that scale the product organization.

Seeking a Senior Software Development Engineer in Test to architect and maintain test infrastructure, automation frameworks, and build CI/CD pipelines for cloud-based products. Responsibilities include mentoring, improving test strategies, and ensuring software quality and performance.

The Marketing Operations Manager oversees the marketing tech stack, optimizes processes, drives ABM initiatives, and manages system integrations to enhance marketing performance and enable strategic decision-making.

Qualify inbound leads and perform outbound prospecting via phone, email and social. Schedule discovery meetings for Account Executives, manage contacts in Salesforce, and use prospecting and marketing tools to build pipeline and relationships.

Lead Magnet Forensics' global tax function, owning US, Canadian, and international income, indirect tax, and transfer pricing. Advise executives on tax-efficient structures, manage compliance, audits, and the global provision (ASC 740/IAS 12), and build a scalable tax team while monitoring international tax developments (e.g., BEPS/Pillar Two).

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.

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