Product Security Engineer Jobs

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As Engineering Manager for our verticals application team, you'll lead a team of engineers building full-stack applications, backend and frontend, that bring AI into critical sectors, starting with the Pharmaceutical industry and expanding into areas like finance and healthcare over time. You'll own the application and user-experience layer, partnering closely with the ML engineering teams who build the underlying data and agent infrastructure. Day to day, that means working with product managers, designers, and ML engineers to ship best-in-class applications, while hiring, mentoring, and growing your team. We're looking for someone who has built AI-first products deeply integrated with agentic systems, and who can deliver secure systems that users can trust in high-stakes environments. Our pace is startup-fast, but the bar is enterprise-high: these applications must be reliable, observable, safe, and auditable from day one. Key Responsibilities: Lead and manage backend and frontend engineers, fostering collaboration and ensuring predictable delivery Act as the primary interface between Product and Engineering tea

We are Datadog's in-house product experts. The Datadog Federal Support Engineering team is dedicated to serving as highly trusted technical advisors for our Public Sector customers, who operate within some of the most highly regulated and security-constrained environments. These customers include various government agencies and organizations with critical, sensitive missions. As a Federal Support Engineer 3, this role places you at the forefront of supporting these customers' mission-critical workloads. These complex workloads are often deployed across sophisticated hybrid and multi-cloud architectures, requiring deep expertise in cloud technologies, monitoring, and security best practices. Your primary responsibility is to ensure the complete success of these customers across their entire lifecycle with Datadog. Whether you’re looking to learn from the best or be the best, the Federal Support team is dedicated to furthering personal development and team success. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Engage with public sector customers via multiple channels (ticketing system, live chat, calls, and screensharing tools) to identify and resolve technical support requests. Troubleshoot, investigate, and resolve complex technical issues in highly constrained environments across Datadog's 1000+ integrations, often with limited logs or sanitized data. Handle urgent escalation cases that may result in customer-facing troubleshooting calls, and internal or external incident management Become a subject matter expert in many Datadog product areas Partner with Product, Engineering, and Account teams to to validate bugs and advocate for customer-impacting improvements Provide mentorship to junior members of the team and serve

About Mach Industries Founded in 2023, Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. At the core of our mission is the commitment to delivering scalable, decentralized defense systems that enhance the strategic capabilities of the United States and its allies. With a workforce of approximately 350 employees, we operate with startup agility and ambition. Our vision is to redefine the future of warfare through cutting-edge manufacturing, innovation at speed, and unwavering focus on national security. We are dedicated to solving the next generation of warfare with lethal systems that deter kinetic conflict and protect global security. The Role Mach Industries is seeking a Test Engineer to build, instrument, and test mechanical and electro-mechnical systems. In this hands-on role, you’ll work closely with mechanical, avionics, mechanisms, and flight sciences teams to develop test solutions, execute experiments, analyze results, and rapidly iterate designs. You will support development across a product’s lifecycle, from component, coupon, or subscale testing to systems and vehicle level qualification. You will also help expand Mach’s test capabilities by developing test fixtures, instrumentation, automation, and lab infrastructure. At Mach Industries, we are redefining the future of defense through advanced, scalable platforms. As a Test Engineer, you will play a key role in prototyping and refining mechanical systems, and optimizing designs for performance, survivability, and scalability. Collaborating with a multidisciplinary team, you’ll help shape the next wave of defense technologies, from concept to deployment. Key Responsibilities Plan and execute hands-on testing, from vehicle level qualification and design validation to subscale and coupon based testing. Own the mechanical design and development of test hardware and infrastructure including integrating mechanical systems with s

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . About Cloud Secure Edge Cloud Secure Edge (CSE) is SonicWall’s cloud-delivered Security Service Edge (SSE) platform that provides enterprise-grade Zero Trust Network Access (ZTNA), VPN-as-a-Service, Secure Web Gateway (SWG), and Cloud Access Security Broker (CASB) capabilities. CSE enables organizations to enforce least-privilege access policies across managed and unmanaged devices, continuously verifying user identity, device posture, and contextual signals before granting access to private applications, SaaS resources, and internet destinations. This is a high-growth, strategically critical product line at the center of SonicWall’s SASE transformation. The Role We are seeking a Senior Product Manager to help shape and drive SonicWall Cloud Secure Edge. In this role, you will connect engineering, design, sales, marketing, and customer success—translating market needs and customer insights into product direction. You will operate at the intersection of deep technical understanding and sharp commercial instinct, influencing the platform’s evolution to deliver measurable security outcomes for SonicWall customers and partners. Key Responsibilities Product Strategy & Roadmap Influence and help define the Cloud Secure

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. We extract knowledge from any data sources into a structured AI Index, serve it to agents through public APIs, MCP tools and framework integrations, and close the loop with agent traces so that what the engine knows improves from real usage. Any agent can use it: Elastic’s own Agent Builder, Claude Code, LangChain and other third-party harnesses. As a Principal AI Engineer, you own the improvement loop of this product end to end: how agents, automations and skills behave in production, how we observe them, how we evaluate them, and how we ship changes to them safely. This is a hybrid role at the intersection of engineering, data science, and product. You will write production code, design evaluation and telemetry that product decisions can rest on, and set the technical bar for how the team iterates on agentic behaviour. You will work alongside data scientists, backend engineers, product, and UX, and your work will show up directly in what customers build on top of Elastic. The codebase is TypeScript and we build it in the open, so you'll be shipping code, designs and discussions in public alongside the rest of the Elastic Stack. What You Will Be Doing Own the production improvement loop for Context Engine: underst

About the Team RSC(Rubrik Security Cloud) is the SaaS control plane for Rubrik. Our mission is to build a highly scalable and reliable cloud data management platform for the largest enterprises in the world. We build fundamental infrastructure components that all other RSC product teams at Rubrik build upon, including our microservices architecture, Kubernetes deployment system, distributed job workflow engine, and database instances(Mysql). This is an exciting time to join as we are constantly improving and innovating on each of our core layers - Kubernetes services, distributed job framework, and MySQL The database team at Rubrik plays a pivotal role in ensuring the reliability, scalability, and performance of the Rubrik Security Cloud (RSC) platform. They are responsible for managing all metadata required to operate RSC, supporting a multi-tenant architecture that serves a diverse and growing set of customers and internal product teams. What you’ll do Build and drive the product component roadmap Provide leadership to projects from inception to implementation Champion an atmosphere of continuous improvement with a metrics driven culture Provide support and guidance that enables the team to self-organize and to achieve sustained high velocity and predictability Help employees grow through career development, coaching, and mentoring while guiding senior contributors to maximize their potential Foster a strong collaborative mindset working closely with peers in Product Management, Architects, and Program Management to bring diverse viewpoints and goals together Bring a zeal for solving customer problems, work closely with Support and cascade the same passion within your team Experience you’ll need A passionate leader who is obsessed with building technically strong teams and has 10+ years of Software Development experience and 1-2 years in Engineering Management role Experience in delivering enterprise-quality scalable Distributed Systems with high

Here’s a summary of the role: Lead a strong engineering team, deliver software that matters, and help people do the best work of their careers. This is a hands-on team management role for someone who enjoys combining people leadership, technical fluency, and modern AI-enabled ways of working to build reliable products at scale. You’ll lead engineers building secure, scalable microservices and APIs using TypeScript and AWS. You’ll partner closely with Product, Security, DevOps, and peer engineering leaders to deliver roadmap outcomes, improve team effectiveness, and create an environment where engineers can grow, own their work, and build high-quality systems with confidence. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Lead, coach, and support a team of engineers, creating clarity around priorities, ownership, expectations, and growth goals. Partner with Product, Security, DevOps, and peer engineering leaders to plan and deliver roadmap commitments while balancing quality, pace, and sustainability. Create a healthy delivery environment by improving team processes, removing blockers, supporting planning and estimation, and reinforcing strong engineering practices. Maintain enough technical depth to guide design discussions, challenge risks, review trade-offs, and support the team in building secure and maintainable systems. Use AI tools and encourage responsible AI-assisted ways of working that improve productivity while protecting privacy, security, quality, and good judgment. Support hiring, feedback, performance conversations, and career development so the team continues to grow in capability and confidence. These are the essentials you’ll need to get an interview: 8 or more years of software engineering experience, including experience leading projects and supporting or managing engineers in an agile product environment. Experience managing teams that build cloud-native microservices in AWS. Strong people leadership skills, with

ROLE: SENIOR SOFTWARE ENGINEER TEAM: PRODUCT LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW Salt is a North American marketing agency that creates connected experiences through creative, digital & media innovation. Our mission is to “Earn The World’s Attention” and Salt is built to find, develop, execute, and amplify the ideas that are worthy of our clients’ audiences. We’ve structured our agency to do what’s right for our clients – to connect different perspectives, to work across mediums, and to focus on delivering meaningful, effective results. We’re committed to living up to the values in our name. “Salt of The Earth” means we value collaborative, humble, hard-working people here. We’re looking for people who are as smart as they are kind because we believe the right talent and the right culture help us do what’s right for our clients. ROLE OVERVIEW Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing, building, and shipping full-stack product features and backend services, working with the latest AI, cloud, and developer technologies to deliver solutions used across the organization. The remaining ~20% is platform work — keeping the cloud environments, data pipelines, and deployment tooling behind our AI products reliable and secure. Working closely with product and engineering, you will own features end to end — from technical design through release and iteration — while contributing to the CI/CD, infrastructure, and security practices that keep our AI platforms running well. CORE RESPONSIBILITIES Software Engineering Build full-stack applications: Design, develop, and maintain Python & Node.js backend services and modern React frontends, delivering reliable APIs and intuitive user experiences. Own delivery end to end: Translate business requirements into tec

Summary: The Senior SecOps Engineer at Showpad will play a crucial role within the Security Operations team, collaborating with various departments, including Engineering, Product, and other business units. This position focuses on identifying, managing, and mitigating cybersecurity risks, particularly in cloud-native environments, to enhance security capabilities. The ideal candidate will possess solid experience in SecOps practices and a deep understanding of modern security methodologies. Responsibilities: Manage cybersecurity operations, including tasks related to application, hardware, and cloud infrastructure security. Act as the key cybersecurity contact for internal teams regarding daily practices, company-wide initiatives, and the Showpad product. Ensure development teams adopt and implement best practices in software security development. Enable development teams by providing CI/CD processes that integrate security and quality tooling. Manage and improve our CNAPP solution. Oversee and manage cybersecurity operations, ensuring continuous monitoring and protection of cloud infrastructure and applications. Manage and respond to events related to vulnerability programs, endpoint protection, user behavior analytics, firewalls, IDS/IPS, and external threat intelligence. Collaborate with internal teams to ensure security best practices and policies are adhered to across the organization. Develop and maintain security controls and automation strategies within CI/CD pipelines. Monitor and assess risks, manage vulnerabilities, and implement appropriate security measures. Required Skills: Proven experience in information security, with a background in security operations, application security, or related roles. Skilled in identifying, analyzing, and handling phishing attempts and other social engineering threats. Strong knowledge of modern web application security practices and frameworks. In-depth understanding of the Secure Software Development Life Cycle (

RDQ427R198 The Opportunity Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. Building unified infrastructure on top of heterogeneous clouds is a challenge that few companies experience. As an engineer on this team, you won’t just manage infrastructure; you will build it as a product. You will tackle the hard problems of distributed systems: sub-second container/MicroVM startup times, multi-tenant security isolation, and building a unified orchestration layer that scales across AWS, Azure, and GCP. What You’ll Do Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency. Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase. Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers. Optimize everything from the API gateway down to the host-level networking and container orchestration. Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber’s infrastructure. What We’re Looking For 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP). You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&n