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About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As a Lead Integration Engineer on the Business Systems Engineering team, you will collaborate with cross functional teams to understand requirements and synthesize them to build & enhance globally scalable solutions. This role requires deep technical expertise in integration architecture and is responsible for identifying issues, building & testing integrations, and administering Workday and other People platforms. You will wear multiple hats; modifying business processes, complex reporting, and providing end-user support. Build the future of People Tech: Build scalable, AI-ready solutions that automate end-to-end HR processes and unlock new capabilities. Establish and evolve automation and Gen AI frameworks purpose-built for the employee experience. Deliver technical excellence: Define system boundaries, data flows, and integration standards and design reviews. Establish integration patterns, reusable code libraries, and architectural standards; implement monitoring, logging, and alerting for all HRIS systems. Build scalable integrations: Design event-driven integration patterns, RESTful/SOAP APIs, and data pipelines connecting HRIS Systems across our technology ecosystem; leveraging your skills in Studio, Cloud Connect, EIB, iLoad, Conversion, Core Connectors, XSLT, RaaS, and Web Services. Ensure security & compliance: Build secure architectures using OAuth 2.0, encryption, and maintain SOX compliance across all integrations. Drive impact & Collaboration: Partner

We're looking for a Senior Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you'll build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents.This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence. Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work. Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work. Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent. Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review. Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement. About you 5+ years of working in large codebases Experience building developer tools, internal platforms, infrastructure, IDE/editor integrations, CLIs, or workflow automation. Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based int

We're looking for a Software Engineer to integrate and improve our AI developer experience so that engineers at Asana can use AI to increase their velocity. As part of the AI Developer Productivity team, you'll build the next generation of AI-powered developer tools across editors, IDEs, CLIs, code review, and cloud and local coding agents.This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Design and build AI-augmented workflows and systems that help coding agents understand the codebase, follow engineering practices, and enable Asana engineers to complete software development tasks faster and with more confidence. Design and scale autonomous cloud agents that take on complex, multi-step engineering tasks to reduce toil and enable engineers to focus on higher-leverage work. Build and refine IDE, editor, and CLI integrations that make AI-assisted development feel intuitive in engineers' daily work. Create reusable agent skills, tools, context, and integrations that teams across Asana can build on rather than reinvent. Improve AI-assisted code review workflows so engineers get faster, higher-quality feedback before and during review. Drive adoption of AI developer tools across engineering through usability improvements, measurement, documentation, and enablement. About you 3+ years of working in large codebases Experience building developer tools, internal platforms, infrastructure, IDE/editor integrations, CLIs, or workflow automation. Hands-on experience with AI-assisted development tools (such as Cursor, Claude Code, or Codex), or extending coding agents, MCP-based integratio

As a Senior Product Manager for Serverless at Datadog, you will define and deliver products that help developers monitor and operate serverless applications at scale. You’ll own the strategy and execution for Datadog’s AWS Serverless observability offering, building experiences that provide visibility into distributed systems and simplify debugging and operations. This role sits at the intersection of cloud infrastructure, developer experience, and AI-powered workflows, and is ideal for a PM who thrives in highly technical product areas. You will work cross-functionally and with external partners to shape how customers build and run modern serverless applications. 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: Own and drive the roadmap for Datadog’s AWS Serverless observability products, including Lambda, Fargate, and Step Functions Define how developers monitor, debug, and operate serverless systems across distributed environments Partner with engineering and design to deliver end-to-end product capabilities from concept through launch and iteration Collaborate with AWS product teams to align roadmaps and deliver joint solutions for shared customers Engage with customers to understand serverless adoption patterns and validate product direction Define and track success metrics such as adoption, usage, and impact on developer workflows Who You Are: 5+ years of product management experience building technical products in areas such as cloud infrastructure, developer platforms, or observability Strong understanding of distributed systems, cloud-native architectures, and modern application development practices Familiarity with serverless technologies, containers, Kubernetes, or microservices environments Comfortable working closely with engineers and discu

Datadog is seeking a Senior Partner Enablement Manager to drive onboarding, activation, and enablement across our APAC partner ecosystem. Working closely with Partner Sales Managers, partner organizations, and the Global Partner Enablement team, you'll help partners build the skills and knowledge needed to successfully position, sell, and support Datadog. Reports to: Manager, Global Partner Programs, Channels & Alliances. 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 Execute partner enablement programs across APAC. Deliver onboarding experiences that accelerate partner productivity. Roll out training, certifications, workshops, webinars, and enablement initiatives. Partner with Partner Sales Managers to identify and activate high-potential partners. Adapt global enablement content and programs for regional needs. Gather partner feedback and recommend program improvements. Track readiness, participation, and activation metrics. Serve as a trusted enablement resource for partners across APAC. Travel across the region to deliver training, workshops, and partner events. Who You Are: 4+ years of experience in partner enablement, sales enablement, channel programs, training, or related SaaS/technology roles. Experience working with channel, alliance, reseller, MSP, cloud, or technology partners. Experience with partner onboarding, activation, or success programs. Familiarity with LMS, certification, or enablement platforms. Experience working across APAC markets and cultures. Background in SaaS, cloud, observability, or infrastructure technologies. Knowledge of partner recruitment, segmentation, or consumption-based business models. Strong facilitation, presentation, communication, and project management skills. Experience developing or delivering onboardin

As the Engineering Manager for Commercial Audit, you will lead a high-performing team responsible for scaling Datadog’s security and compliance posture through automation, tooling, and engineering excellence. Our GRC (Governance, Risk, and Compliance) function is a critical partner to the broader Security and Engineering organizations, ensuring that Datadog not only meets rigorous global regulatory standards but does so in a way that is efficient, scalable, and integrated into our cloud-native infrastructure. You will manage a team of engineers and analysts who are transitioning to a GRC engineering direction to treat compliance as a software problem, leveraging AI, custom tooling, CI/CD pipelines, and cloud-native services to turn complex regulatory requirements into actionable, automated controls. You will lead the strategy, roadmap, and execution of Datadog’s Commercial Audit initiatives. This is a high-impact leadership role where you will grow a team of engineers and analysts responsible for directly maintaining our compliance programs and related audits (e.g., SOC2, PCI, HIPAA, ISO) while looking to improve efficiency and effectiveness through platforms and tooling. You will act as a bridge between technical engineering, legal, and compliance, enabling the organization to move fast while maintaining a secure and compliant environment. You will champion a culture of "compliance-as-code," identifying opportunities to automate evidence collection, streamline control testing, and reduce manual toil for both your team and our partner engineering teams. 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: Lead the strategy, roadmap, and execution of Datadog’s commercial security compliance efforts, shifting from manual audit processes to automated, scalable

The Role MongoDB is seeking a Staff Product Manager to lead strategic initiatives across Identity and Security. In this role, you will serve as the senior product leader shaping the next generation of authentication, authorization, and access control across MongoDB Atlas, the core database engine, and emerging developer platforms. You will lead the strategy for non-human identity—spanning workload identity federation, zero-trust passwordless access, Model Context Protocol (MCP) integrations, and autonomous AI agentic identity. You will partner closely with engineering, UX, product marketing, and enterprise customers to build identity experiences that are enterprise-grade, seamless for developers, and secure by default. Responsibilities Set and champion a multi-year product strategy across interrelated identity areas, aligning dependencies and investments to MongoDB’s broader objectives Identify cross-cutting customer and market opportunities, build business cases for investment, and bring a clear point of view to senior stakeholders Lead workload identity federation and programmatic access initiatives across cloud and enterprise identity environments Define secure authorization approaches for AI agents and MCP clients, including delegation, identity lifecycle, policy, and administrative controls Drive developer-first access management, ensuring security controls enhance rather than obstruct developer velocity Partner with engineering, design, GTM, and cross-functional leadership to validate enterprise requirements, prioritize initiatives, and measure feature adoption Stay ahead of evolving cloud security paradigms, emerging standards (e.g., SPIFFE/SPIRE, O4AA), and AI access patterns to guide executive decision-making Represent MongoDB’s security and identity vision at industry events, customer advisory boards, and executive briefings Demonstrate creativity, an innovative spirit, and a bias towards action Requirements 8+ years (or equivalent experience) in Pro

The Role MongoDB is seeking a Staff Product Manager to lead strategic initiatives across Identity and Security. In this role, you will serve as the senior product leader shaping the next generation of authentication, authorization, and access control across MongoDB Atlas, the core database engine, and emerging developer platforms. You will lead the strategy for non-human identity—spanning workload identity federation, zero-trust passwordless access, Model Context Protocol (MCP) integrations, and autonomous AI agentic identity. You will partner closely with engineering, UX, product marketing, and enterprise customers to build identity experiences that are enterprise-grade, seamless for developers, and secure by default. Responsibilities Set and champion a multi-year product strategy across interrelated identity areas, aligning dependencies and investments to MongoDB’s broader objectives Identify cross-cutting customer and market opportunities, build business cases for investment, and bring a clear point of view to senior stakeholders Lead workload identity federation and programmatic access initiatives across cloud and enterprise identity environments Define secure authorization approaches for AI agents and MCP clients, including delegation, identity lifecycle, policy, and administrative controls Drive developer-first access management, ensuring security controls enhance rather than obstruct developer velocity Partner with engineering, design, GTM, and cross-functional leadership to validate enterprise requirements, prioritize initiatives, and measure feature adoption Stay ahead of evolving cloud security paradigms, emerging standards (e.g., SPIFFE/SPIRE, O4AA), and AI access patterns to guide executive decision-making Represent MongoDB’s security and identity vision at industry events, customer advisory boards, and executive briefings Demonstrate creativity, an innovative spirit, and a bias towards action Requirements 8+ years (or equivalent experience) in Pro

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box, we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. The Engineering Opportunity We are seeking a Principal Site Reliability Engineer to serve as a technical leader for reliability engineering within Okta's Emerging Products Group (EPG). This role extends beyond operating production systems. You will define technical strategy, influence platform architecture, establish reliability standards, and lead transformational initiatives that improve scalability, resilience, security, and operational excellence for one of Okta's fastest-growing product areas. Initially, you will partner closely with the Spera / Identity Security Posture Management (ISPM) engineering organization to establish reliability strategy, operational excellence, and platform maturity. Over time, you will help drive broader reliability ini

This role will support the fleet infrastructure team at OpenAI. The fleet team focuses on running the world’s largest, most reliable, and frictionless GPU fleet to support OpenAI’s general purpose model training and deployment. Work on this team ranges from Maximizing GPUs doing useful work by building user-friendly scheduling and quota systems Running a reliable and low maintenance platform by building push-button automation for kubernetes cluster provisioning and upgrades Supporting research workflows with service frameworks and deployment systems Ensuring fast model startup times though high performance snapshot delivery across blob storage down to hardware caching Much more! About the Role As an engineer within Fleet infrastructure, you will design, write, deploy, and operate infrastructure systems for model deployment and training on one of the world’s largest GPU fleet. The scale is immense, the timelines are tight, and the organization is moving fast; this is an opportunity to shape a critical system in support of OpenAI's mission to advance AI capabilities responsibly. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, implement and operate components of our compute fleet including job scheduling, cluster management, snapshot delivery, and CI/CD systems. Interface with researchers and product teams to understand workload requirements Collaborate with hardware, infrastructure, and business teams to provide a high utilization and high reliability service You might thrive in this role if you: Have experience with hyperscale compute systems Possess strong programming skills Have experience working in public clouds (especially Azure) Have experience working in Kubernetes Execution focused mentality paired with a rigorous focus on user requirements As a bonus, have an understanding of AI/ML workloads About OpenAI OpenAI is an AI resea

About the Team The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently. About the Role As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products. We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services. Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems. Improve performance, resilience, and scalability of core services that power customer-facing applications. You might thrive in this role if you: Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence). Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows. Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems. Excel at communication and collaboration with cross-functional teams, and are obsesse

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Security Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments—GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Security Software Engineer, you will design and build critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Architect and implement production-grade security services (e.g., auth services, access brokers, secure proxies, key-management infrastructure) that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD. Partner with infrastructure and research engineers to embed security into high-performance compute clusters, enabling rapid model training and deployment without compromising protection. Develop automation and detection tooling to continuously identif

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but operational in how we execute, and we support every product and research effort at OpenAI. Our tenets include prioritizing for impact, enabling researchers and developers, preparing for future transformative technologies, and fostering a strong, collaborative security culture. About the Role OpenAI is seeking a Principal Software Engineer to join the Infrastructure Security (InfraSec) team. InfraSec safeguards the core of OpenAI’s research and production environments: GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter spans everything from bare-metal hardware and firmware to Kubernetes clusters, service meshes, and the data pathways that carry highly sensitive model weights and user data. As a Principal Software Engineer, you will set technical direction and drive execution of critical foundational services, such as authentication systems, egress/ingress proxies, access brokers, and key management platforms, that demand high standards of reliability, scalability, and software craftsmanship. These systems form the security backbone of OpenAI’s customer and supercomputing environment and must remain robust under intense scale and adversarial pressure. In this role, you will: Own the architecture and roadmap for one or more core security services (e.g., authN/Z, policy enforcement, secure proxies, key management), taking them from design to rollout to long-term operation. Design and implement planet-scale security systems that provide strong guarantees across hardware, operating systems, Kubernetes, networks, and CI/CD: balancing security, reliability, latency, and developer ergonomics. Lead cross-functional launches

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake started with a clear vision: develop a Data and AI cloud that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. The Snowflake AI Data Cloud makes Enterprise AI easy, efficient and trusted. We are now a global, world-class organisation with offices in more than a dozen countries and serving many more. The Enterprise Account Executive role is a hunting role for. Individuals who have existing relationships at CXO layers of marquee logos in Delhi NCR. The individual shall help organisations realise business value of Data and AI by proposing Snowflake Data and AI cloud to them working and leveraging an internal matrix organisation of alliances, marketing, solution consultancy and other domains. The individual who excels at this job has the ability to prospect, develop, and close business within a timely manner while focusing on the clients’ requirements. The Enterprise AE must have the confidence and ability to negotiate and close agreements with clients. This role is a unique opportunity to contribute in a me

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake started with a clear vision: develop a Data and AI cloud that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. The Snowflake AI Data Cloud makes Enterprise AI easy, efficient and trusted. We are now a global, world-class organisation with offices in more than a dozen countries and serving many more. The Enterprise Account Executive role is a hunting role for. Individuals who have existing relationships at CXO layers of marquee logos in Delhi NCR. The individual shall help organisations realise business value of Data and AI by proposing Snowflake Data and AI cloud to them working and leveraging an internal matrix organisation of alliances, marketing, solution consultancy and other domains. The individual who excels at this job has the ability to prospect, develop, and close business within a timely manner while focusing on the clients’ requirements. The Enterprise AE must have the confidence and ability to negotiate and close agreements with clients. This role is a unique opportunity to contribute in a me