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At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview We’re seeking a Principal Frontend Engineer to drive the long-term technical vision for frontend engineering at ClickUp. In this role, you will lead architectural strategy across major product surfaces, solve company-wide frontend challenges, and influence how teams build and ship at scale. You will partner deeply with engineering, product, design, backend, and integrations leadership to ensure ClickUp’s frontend systems remain fast, reliable, and adaptable as the business grows. This is a hands-on technical leadership role for someone who can operate at both strategic and implementation levels, especially in a high-growth, fast-paced environment. What You’ll Do Define and drive frontend architecture strategy across product areas and platform investments Lead the design of scalable, performant systems in Angular 2+ and React that support rapid product development Solve complex cross-team technical challenges related to performance, state management, scalability, and developer productivity Partner with backend and integrations teams to shape end-to-end architecture for major features and systems Raise the bar for quality, testing, maintainability, and engineering rigor across the frontend organization Provide technical leadership on the highest-impact initiatives and unblock teams working through ambiguous or difficult problems Guide teams toward pragmatic decisions that support both speed and long-term product quality Mentor senior and staff engineers, and help shape frontend engineering culture and standards Influence roadmap and organizational decisions through strong technical judgment

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Security Software Engineer on the Production IAM team, you will set the technical direction for how identity and access work across Roblox's production infrastructure, from the mTLS-based identity that services use to authenticate to one another, to the privileged access controls that govern how engineers reach production. The team is accountable for Roblox's machine and workload identity platform, its centralized authorization engine, its production access management platform, production PKI and certificate lifecycle, and just-in-time privileged access for engineers. As an individual contributor in Production IAM, you will define multi-year strategy, drive alignment across Roblox Platform, mentor senior and staff engineers, and personally build the hardest parts of these systems. As AI agents become first-class actors in production, you will also help pioneer how they get identity, prove who they are, and receive safely-scoped access. You will Lead the architecture for production identity and access. Define and evolve the end-to-end design for machine, workload, human, and AI-agent identity across our hybrid on-prem and cloud fleet, making secure access invisible when

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for custom LLMs Upskilling and advisory services to spread the impact of AI As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes. Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments. Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases. Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture. Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team. Ideally you’d have: Masters or Phd in Computer Science or eq

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Come lead the Identity & Access Management Platform team (IAM Platform) — the foundational layer that decides who can see and do what across all of ClickUp. This team owns the authorization engine, the permission and role model, authentication (SSO, MFA, SCIM, OIDC), sharing primitives, audit logs, and the core data model and APIs that define how customers' work is organized and nested across the product — the foundation every other part of ClickUp is built on. It is backend-heavy, high-blast-radius work. As we move upmarket, this is some of the most important and security-sensitive work we do — enterprises decide whether they can trust us based on how precise, predictable, auditable, and manageable our access controls are. We're looking for a Senior Engineering Manager to lead and grow this team. Your mandate is twofold: deliver an enterprise-grade access management platform — extensible, configuration-driven, correct and auditable by design — and build the team that will carry it , hiring and developing engineers as we invest heavily in enterprise. You'll raise the access, identity, and admin capabilities enterprises depend on to an enterprise-grade standard and keep them there, partnering with a Staff engineer on technical direction while you own delivery, people, and priorities. Just as important: you'll run this team the way ClickUp runs — AI-native . We structure work so AI agents can read it, route it, roll it up, and report on it, so a small team amplified by agents operates at a different scale. There are no status-reporting meetings; agents keep status, progress, and health current from r

Lead Forward Deployed Engineers (FDE) are the most senior technical leaders in the FDE organization. They own the overall technical strategy for the FDE domain, not just individual engagements, and are accountable for how the entire function operates, scales, and improves over time. They set direction across multiple concurrent engagements, teams, and quarters, and are the technical voice the organization relies on when stakes, ambiguity, or cross-functional complexity are highest. This role sits at the intersection of technical depth, organizational strategy, and people leadership, setting the technical bar for the function, shaping how Product and Engineering prioritize based on field reality, and developing the next generation of Staff-level FDEs. We are looking to speak to candidates who are based in New York City for our hybrid working model. Responsibilities Own the FDE organization's overall engagement strategy, serving as the primary technical escalation point across the portfolio for the highest-risk, highest-visibility, and most ambiguous situations Act as the trusted technical counterpart to customer executives and internal VP/executive stakeholders on strategic bets, major risks, and cross-portfolio tradeoffs Set the technical architecture standards and design principles that govern how the FDE domain builds customer-facing solutions and platform capabilities, turning organization-level ambiguity into coherent multi-quarter technical strategy Stay hands-on where it matters most, writing and reviewing code and personally unblocking the hardest technical failures to keep the organization's technical bar grounded in reality Own the translation of field-wide patterns into the FDE domain's long-term technical vision, representing that vision to Product and Engineering executive leadership and defending multi-quarter roadmap tradeoffs Own the technical growth and career development of FDEs through mentorship, coaching, and calibration of the org's technical ba

We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l

We are looking for a talented engineer to lead evaluation of startup acquisition opportunities in the AI, cloud and security space. You will drive product evaluations, prepare and manage technical architecture discussions with target groups in Product and Engineering and provide roadmap suggestions for M&A and investments for Datadog. You will be a key partner to Datadog’s C-level leadership and highly visible at the most senior levels of Datadog. The role is reporting into the Senior Director of Product Strategy and falls within the Product organization. We are looking for an innovative and strategic thinker who is passionate about the latest tech being developed by startups in the cloud, AI and security space. The ideal candidate enjoys researching and evaluating new technologies, works effectively with cross-functional teams, and communicates opinions concisely to our leadership team. Broad understanding of relevant Cloud Technologies and deep understanding of the full coverage of Datadogs current offerings is necessary. The Corporate Development team is small and values authentic, strong-willed individuals who think creatively and proactively. This role leads technical due diligence from a product and architecture perspective across our acquisition pipeline. You'll scope and stand up proof-of-concept and sandbox environments to stress-test candidate products, then give an honest, unvarnished view of their quality and depth - the kind of assessment that holds up regardless of deal momentum. You'll assess technical architecture, flag the risks and open questions that matter most early, and turn that into a clear post-acquisition integration path. Working closely with engineering, you'll keep the evaluation focused on what's actually decision-relevant, then translate the findings into strategic recommendations for leadership and help carry the integration through by partnering with the right people on the other side. What You’l

Opportunity Overview: As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes. This role goes beyond execution. You’ll define approaches, set standards, and guide others in solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity of data science at Cohere while contributing directly to improving clinical and operational decision-making. What you’ll do: Lead the design and execution of complex, high-impact data science initiatives across multiple domains Define analytical frameworks and modeling approaches for ambiguous, strategic problem spaces Partner with senior stakeholders to shape problem definition, prioritize opportunities, and influence decision-making Develop and deploy advanced models and scalable analytical solutions that drive measurable outcomes Establish best practices for experimentation, model development, and analytical rigor across the team Mentor and guide other data scientists, providing technical leadership and elevating team capabilities Drive cross-functional alignment to ensure solutions are practical, scalable, and integrated into workflows ISMS roles and responsibilities: Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitor

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features, while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, and clinical teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems, and want to influence architecture and engineering practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operational readiness. Quality & Compliance Focus Embed automated testing, monitoring, and release safeguards into the development lifecycle. Proactively address compliance and audit-readiness requirements in application

Opportunity Overview: This is a unique opportunity to join a high-caliber software engineering team that is experiencing rapid growth. You’ll play a key role in building impactful healthcare technology on a modern technology stack, with a focus on our core data and AI platforms. Your work will focus on enhancing the platform's key features while also balancing scalability, reusability, and performance. As a Staff Engineer on the Application Engineering team, you’ll serve as a senior technical leader - responsible for designing and delivering high-quality, scalable software systems that power Cohere Health’s core platform. You’ll act as a multiplier, elevating the technical bar for the team, mentoring engineers, and partnering with product, data, design , clinical and payment teams to deliver solutions that meet compliance, quality, and performance standards. This role is ideal for engineers who thrive on solving complex problems in healthcare, have deep expertise in building distributed systems including data solutions, and want to influence architectural decisions for security and scale, drive cross-collaborations for alignment, establish technical standards for consistency and evolve both application and data engineering best practices at scale. What you’ll do: Technical Leadership & Architecture Define and drive the architecture of large-scale, distributed application systems across the Cohere platform. Ensure solutions are secure, performant, maintainable, and compliant with NCQA, CMS, and payer requirements. Champion platform engineering best practices in CI/CD, testing, release management, and observability. Hands-On Engineering Write clean, maintainable, and well-tested code, primarily in modern frameworks (e.g., Python, TypeScript/React, Java/Kotlin). Lead the development of core features and APIs that directly impact providers, payers, and patients. Partner with DevOps and Data teams to ensure seamless integration, scalability, and operati

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

The observability market is shifting from surfacing data to delivering answers. MongoDB is looking for a Staff Product Manager to lead that shift for database users, owning the strategy that takes customers from raw telemetry to AI-powered diagnostics and autonomous remediation, so developers can focus on building great applications instead of managing infrastructure. You will define how MongoDB turns raw telemetry into actionable intelligence, set the vision for AI-powered root cause analysis and proactive recommendations, and shape what best-in-class database observability looks like at global scale. The ideal candidate has experience shipping products that deal with data at scale, can engage deeply with senior engineering on technical architecture, and knows how to balance long-term platform investment against near-term customer value. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What you'll do Define the vision, strategy, and multi-year roadmap for MongoDB observability, balancing the needs of developers, ops teams, enterprise customers, and internal engineering teams Help shape the next generation of AI-powered and agentic observability, including intelligent anomaly detection, automated root cause analysis, and proactive recommendations that help customers resolve issues before they escalate Own product strategy for experiences that span database health, performance diagnostics, alerting, log analysis, and data visualization, creating a coherent observability journey rather than a collection of disconnected tools Identify high-impact opportunities across the observability stack, from how customers monitor and understand their deployments to how MongoDB can reduce the operational burden of managing a database fleet at scale Lead customer discovery with developers, DBAs, and enterprise teams; turn qualitative and quantitative insights into clear product decisions that reduce time spent managing the database and incr

Staff Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They are senior technical leaders who own ambiguous, high-impact problems that span customer engagements, product direction, and engineering execution. They are accountable not only for getting customers to production, but for using what is learned in the field to shape reusable product capabilities, technical strategy, and delivery quality across multiple teams. This role is best suited for engineers who want to combine hands-on technical depth with broad influence: defining or changing strategy when customer reality reveals a gap, guiding technical decisions across teams, and translating field insight into durable product and engineering improvements. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Customer and business impact Own the most complex customer engagements and technical workstreams, especially where the problem, solution, or path to production is ambiguous Build deep understanding of customer architecture, business goals, constraints, and definition of success, and use that understanding to shape the technical approach rather than only execute within a predefined one Act as a trusted technical counterpart to customer’s engineering leaders, internal product and engineering leaders, and executive stakeholders when navigating complex tradeoffs, risks, and priorities Technical leadership and execution Lead architectural design for customer-facing solutions and platform capabilities within the FDE domain, balancing hands-on implementation with technical decision-making across multiple teams Take ambiguous, high-level problems and turn them into clear technical direction, implementation plans, milestones, and ownership boundaries that enable execution at quality and speed Continue to write and review production-quality code, troubleshoot complex failures, and set

Staff Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They are senior technical leaders who own ambiguous, high-impact problems that span customer engagements, product direction, and engineering execution. They are accountable not only for getting customers to production, but for using what is learned in the field to shape reusable product capabilities, technical strategy, and delivery quality across multiple teams. This role is best suited for engineers who want to combine hands-on technical depth with broad influence: defining or changing strategy when customer reality reveals a gap, guiding technical decisions across teams, and translating field insight into durable product and engineering improvements. We are looking to speak to candidates who are based in New York City, NY for our hybrid working model. Responsibilities Customer and business impact Own the most complex customer engagements and technical workstreams, especially where the problem, solution, or path to production is ambiguous Build deep understanding of customer architecture, business goals, constraints, and definition of success, and use that understanding to shape the technical approach rather than only execute within a predefined one Act as a trusted technical counterpart to customer’s engineering leaders, internal product and engineering leaders, and executive stakeholders when navigating complex tradeoffs, risks, and priorities Technical leadership and execution Lead architectural design for customer-facing solutions and platform capabilities within the FDE domain, balancing hands-on implementation with technical decision-making across multiple t

This role will join Datadog’s Data Visualization organization, a team responsible for the visualization experiences that power dashboards, notebooks, investigations, and product workflows used across the platform. The team is a highly product-oriented organization, building AI-native experiences that help customers understand, investigate, and interact with complex operational data. As a Staff Software Engineer, you will provide technical leadership in applying AI technologies to customer-facing product experiences, helping shape how users interact with Datadog through agents, conversational interfaces, and intelligent investigation workflows. You will partner across engineering and product teams to develop reliable, scalable, and trustworthy AI-powered experiences while helping establish AI engineering expertise within the broader organization. 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 design and delivery of AI-powered product experiences across Datadog’s visualization and investigation surfaces. Develop systems that combine deterministic product capabilities with LLM-powered experiences to deliver trustworthy and explainable customer outcomes. Drive innovation in context engineering, prompt engineering, evaluation frameworks, and AI application reliability. Partner with product and engineering teams to improve investigation workflows and help customers discover insights more efficiently. Build experiences that enable Datadog capabilities to operate within third-party AI platforms, agents, and conversational environments. Provide technical leadership and mentorship while helping establish AI engineering best practices across the Data Visualization organization and broader Graphing group. Who You Are: You have extensive softw