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Location: San Francisco; London; Seattle; New York City; Toronto ABOUT THE ROLE The Enterprise Trust & Governance team builds the control plane that lets the world’s largest organizations deploy Perplexity broadly and with confidence. Computer and our agents work across a growing share of our customers’ environments, tools, and models. For administrators, that makes precise, enforceable control essential: who can do what, with which data, through which agents, and within what usage limits. This team makes those controls easy to manage, reliable and consistent across every product, and transparent to the people accountable for them. This is a product and platform engineering role with end-to-end ownership, from shaping the architecture and policy models to shipping the experiences our customers’ administrators and security teams use every day. You’ll work across product and infrastructure teams to turn complex enterprise requirements into reusable primitives and intuitive controls. The scope spans identity and provisioning, fine-grained role-based access across connectors, tool actions, and models, customer-managed encryption keys, admin APIs, audit logs, and policy and usage controls. Strong governance helps enterprises move from pilots to company-wide rollouts and gives them the confidence to entrust agents with greater responsibility over time. KEY RESPONSIBILITIES - Own enterprise identity and provisioning, including SSO (SAML/OIDC), SCIM, WorkOS integrations, and support for identity providers such as Okta and Microsoft Entra ID. - Build the permissions platform, with fine-grained roles and permissions for connectors, tool actions, models, and model effort levels, enforced consistently across products and agent workflows. - Design and ship secure, well-documented admin APIs for audit logs, members, groups, roles, and settings. - Build policy controls for model and feature availability, staged rollouts, model deprecations, usage and spend limits, alerts, and cost-center allocation. - Build admin-facing analytics for adoption, usage, spend, and policy enforcement, helping organizations measure value and manage their deployments. - Deliver audit logs and change notifications that help administrators investigate activity, track configuration changes, and support compliance. - Set the technical bar for authorization correctness and reliability, with fast, consistent, explainable permission checks, well-defined failure behavior, and strong tenant isolation. - Partner with Product, Design, Security, Sales, and Customer Success to translate complex enterprise requirements into reusable platform capabilities and intuitive admin experiences. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation. - Strong system design skills, including building reliable, scalable, multi-tenant SaaS platforms with clear security and isolation boundaries. - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes. - Deep expertise in at least one of the following: - Enterprise identity and provisioning, including OAuth, OIDC, SAML, and SCIM. - Permissions platforms, fine-grained authorization, and policy enforcement. - Encryption, customer-managed keys, and key lifecycle management. - Enterprise admin platforms, audit infrastructure, or usage and spend analytics. - Experience building or integrating enterprise identity and access systems, including platforms such as WorkOS, Okta, or Microsoft Entra ID. - Sound technical judgment in security-sensitive systems, balancing threat models, authorization correctness, and failure behavior with usability and delivery speed. - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: San Francisco; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release. - Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments. - Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn. - Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android - Partner with rest of Growth to optimize app store performance and attribution - Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces. QUALIFICATIONS - 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android. - Strong native skills — Kotlin/Jetpack Compose — and the willingness to flex into other parts of the stack to unblock yourself and others. - Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely. - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app. - Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth or experimentation-heavy team - Deep experience with in-app payments - Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition. - ASO experience, including store listing experiments and localized metadata. - Comfort reaching into the backend or web stack to unblock yourself end-to-end. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release. - Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments. - Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn. - Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android - Partner with rest of Growth to optimize app store performance and attribution - Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces. QUALIFICATIONS - 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android. - Strong native skills — Kotlin/Jetpack Compose — and the willingness to flex into other parts of the stack to unblock yourself and others. - Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely. - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app. - Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth or experimentation-heavy team - Deep experience with in-app payments - Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition. - ASO experience, including store listing experiments and localized metadata. - Comfort reaching into the backend or web stack to unblock yourself end-to-end. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution, and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on iOS. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release. - Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments. - Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn. - Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android - Partner with rest of Growth to optimize app store performance and attribution - Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces. QUALIFICATIONS - 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS. - Strong native skills (eg. Swift/SwiftUI/Objective-C) — and the willingness to flex into other parts of the stack to unblock yourself and others. - Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely. - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app. - Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth or experimentation-heavy team - Deep experience with in-app payments - Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition. - ASO experience, including store listing experiments and localized metadata. - Comfort reaching into the backend or web stack to unblock yourself end-to-end. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade. As a mobile growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on iOS. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution, and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on iOS. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release. - Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments. - Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn. - Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android - Partner with rest of Growth to optimize app store performance and attribution - Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces. QUALIFICATIONS - 3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on iOS. - Strong native skills (eg. Swift/SwiftUI/Objective-C) — and the willingness to flex into other parts of the stack to unblock yourself and others. - Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely. - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app. - Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth or experimentation-heavy team - Deep experience with in-app payments - Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition. - ASO experience, including store listing experiments and localized metadata. - Comfort reaching into the backend or web stack to unblock yourself end-to-end. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Electrical R&D Lead to drive the advanced development of next-generation wearable sensing technologies. As part of the Hardware Engineering team, you will lead the exploration, design, characterization, and validation of novel sensing systems, developing a deep understanding of the complete signal chain - from the underlying physiological signals and sensor interfaces through analog and digital electronics to downstream system requirements. You will combine strong electrical engineering fundamentals, hands-on experimentation, and advanced data analysis to translate complex system behavior into architecture and design improvements that optimize sensing performance. This is a hands-on technical leadership role for an engineer who combines deep electrical expertise with exceptional systems thinking, analytical rigor, and technical judgment. You will guide and mentor engineers while working closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to evaluate emerging technologies, define system requirements, identify performance limitations, and drive technical decisions. You will help establish the technical direction for advanced electrical development, balancing innovation with product feasibility, performance, and development timelines. RESPONSIBILITIES: - Lead advanced electrical development initiatives, driving technical direction from early-stage technology exploration and sensor evaluation through feasibility, prototyping, system characterization, and design validation - Develop a deep understanding of the complete sensing signal chain, including sensor behavior, analog front-end performance, electrical interfaces, physiological characteristics, and downstream system requirements, to inform electrical architecture decisions and optimize end-to-end sensing performance. - Define and execute experiments to characterize sensor and system behavior, isolate variables, identify performance limitations, and evaluate interactions across electrical, mechanical, physiological, and environmental conditions - Execute data analysis to translate experimental findings into actionable electrical design improvements, technical recommendations, and quantitative performance requirements. - Drive the evaluation, integration, and validation of new sensing technologies, establishing test methodologies, performance criteria, and system-level requirements that support reliable operation across real-world use cases - Partner closely with Electrical, Mechanical, Firmware, Signal Processing, and WHOOP Labs teams to understand system dependencies, evaluate technical tradeoffs, and ensure electrical designs support broader sensing system performance objectives - Lead complex technical investigations and root-cause analysis, combining first-principles engineering, bench measurements, system telemetry, and structured experimentation to identify risks and drive effective design solutions - Guide and mentor engineers across advanced development projects, setting technical priorities, providing design review and technical direction, and driving cross-functional alignment while maintaining strong hands-on engineering contributions - Translate ambiguous technical challenges into actionable development plans, proactively communicating technical risks, recommendations, and progress while balancing engineering rigor with product and schedule objectives - Remain hands-on with circuit design and simulation, prototype bring-up, hardware debugging, and design iteration, directly contributing to critical technical investigations and design decisions QUALIFICATIONS: - Bachelor's degree or higher in Electrical Engineering or a related technical field, or equivalent practical experience - 8+ years of relevant electrical engineering, hardware R&D, or sensing systems development experience, with demonstrated technical leadership and ownership of complex engineering projects - Deep electrical engineering fundamentals across analog and digital circuit design, sensor interfaces, signal integrity, noise analysis, and system-level electrical architecture - Strong systems-level understanding of sensing technologies - Exceptional hands-on experimentation, hardware characterization, and debugging skills, with the ability to apply first-principles engineering and structured analysis to complex technical challenges - Proficiency in Python or equivalent tools - Demonstrated ability to lead ambiguous, cross-functional technical initiatives, guide engineering decisions, mentor other engineers, and drive technical challenges to resolution - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions

Location: Remote, France; Remote, Germany; Remote, Netherlands; Remote, Spain; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Subject Matter Expert (SME), you'll be the deepest technical voice in the field for one product group, helping customers make technical decisions on GitLab's most important opportunities, roughly the top 10% by size or complexity. Account Solutions Architects (Account SAs) will bring you into prioritized opportunities. The Account SA owns the opportunity; you own your product group's success within it. You'll work directly with Product and Engineering, bringing customer needs and field insights into roadmap discussions. You'll also help the wider Solutions Architecture team build expertise through reusable assets, enablement, and coaching. You'll specialize in one product group, not all four. In Security & Compliance, you'll focus on GitLab Ultimate, application security, Dependency Firewall, software supply chain security, compliance, and artificial intelligence (AI) governance. In Platform, you'll focus on GitLab Dedicated, self-managed deployments, bring your own model, and cloud and hybrid architecture. In Core DevSecOps, you'll focus on GitLab Premium, continuous integration and continuous delivery (CI/CD), source code management, Orbit, Artifact Central, and migrations. DevSecOps brings development, security, and operations together across software delivery. In AI & Competitive, you'll focus on GitLab Duo Agent Platform, agentic workflows, AI-native development, competitive displacement including GitHub, and migrations. Your success will be measured by technical win rate and bookings on SME-engaged opportunities, product-category commit attainment and consumption growth in your region, and Proof of Value (PoV) conversion rate, evaluation cycle time, and time from technical win to production use. We'll also measure how often Account SAs reuse your assets, their confidence in handling your product group without escalation, and the quality and impact of your feedback to Product. What you’ll do Act as the technical authority for your product group on prioritized opportunities, from discovery and architecture through trials and PoV evaluations. Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and explain how GitLab differs from competing solutions. Design and improve standardized PoV templates with clear, repeatable success criteria. Account SAs own the customer PoV; you'll contribute product-specific content and expertise while keeping the evaluation connected to the broader GitLab platform. Equip account teams for product launches with Product Management and Product Marketing. Build demos and talk tracks, and turn early customer wins into reference stories. Serve as the escalation point for Account SAs and Post-Sales Solutions Architects (Post-Sales SAs) on complex product questions, integrations, and objections. Hand off PoV success criteria and architecture decisions to the Post-Sales SA with the account team when an opportunity closes. Stay involved until the customer's first production workload uses the product, and support complex accounts when Post-Sales SAs bring you in to drive adoption and consumption. Bring structured field feedback, competitive insights, and customer requirements to Product Management and Engineering with the wider SME team. Help manage early-access and design-partner programs, and represent GitLab through customer events, conferences, industry working groups, and published content. Build reference architectures, demo environments, competitive battlecards, PoV playbooks, and enablement content so account teams can handle more opportunities without your direct involvement. Mentor Account SAs and contribute to GitLab's global SME community of practice. What you’ll bring Substantial experience in technical pre-sales, solutions architecture, consulting, or software engineering, with deep, hands-on expertise in one domain: application security testing, supply chain security, and compliance; scalable cloud and hybrid platforms; large CI/CD environments and source code migrations; or production AI-assisted development, working prototypes, and competitive evaluations. Practical expertise in agentic and AI-assisted development workflows across planning, coding, testing, security, and delivery, applied in a customer-facing, pre-sales context. Experience winning technical decisions on large, complex enterprise opportunities through structured Proof of Concept (PoC) or PoV evaluations with defined success criteria and executive sign-off. Hands-on experience with Git, CI/CD, containers, Kubernetes, and at least one major cloud provider. The ability to lead a whiteboard session with engineers and present the business case to executives in the same meeting. Strong written communication, including the ability to turn complex topics into clear playbooks that others use. Comfort working asynchronously across time zones with Sales, Product, and Engineering. Optional: public speaking, published technical content, open source contributions, or relevant certifications in Kubernetes, cloud architecture, or security. If you bring transferable experience in an adjacent domain, we encourage you to apply. About the team We're building our SME organization within GitLab's Solutions Architecture team, and we're distributed and all-remote. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

is looking for IT security engineers to lead identity, endpoint, access, automation, and operational security programs.

is looking for privacy and trust operations leads to build privacy, compliance, risk, and trust governance programs.

Задачи: — приветствие посетителей — управление ресепшеном и телефонными звонками — поддержка мероприятий — обеспечение работы офиса Требования: — навыки работы с электронной почтой Условия: — работа в офисе в районе Сан-Франциско — годовая зарплата от 52,000 до 76,960 долларов США

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Subject Matter Expert (SME), you'll be the deepest technical voice in the field for one product group, helping customers make technical decisions on GitLab's most important opportunities, roughly the top 10% by size or complexity. Account Solutions Architects (Account SAs) will bring you into prioritized opportunities. The Account SA owns the opportunity; you own your product group's success within it. You'll work directly with Product and Engineering, bringing customer needs and field insights into roadmap discussions. You'll also help the wider Solutions Architecture team build expertise through reusable assets, enablement, and coaching. You'll specialize in one product group, not all four. In Security & Compliance, you'll focus on GitLab Ultimate, application security, Dependency Firewall, software supply chain security, compliance, and artificial intelligence (AI) governance. In Platform, you'll focus on GitLab Dedicated, self-managed deployments, bring your own model, and cloud and hybrid architecture. In Core DevSecOps, you'll focus on GitLab Premium, continuous integration and continuous delivery (CI/CD), source code management, Orbit, Artifact Central, and migrations. DevSecOps brings development, security, and operations together across software delivery. In AI & Competitive, you'll focus on GitLab Duo Agent Platform, agentic workflows, AI-native development, competitive displacement including GitHub, and migrations. Your success will be measured by technical win rate and bookings on SME-engaged opportunities, product-category commit attainment and consumption growth in your region, and Proof of Value (PoV) conversion rate, evaluation cycle time, and time from technical win to production use. We'll also measure how often Account SAs reuse your assets, their confidence in handling your product group without escalation, and the quality and impact of your feedback to Product. What you’ll do Act as the technical authority for your product group on prioritized opportunities, from discovery and architecture through trials and PoV evaluations. Lead technical deep dives, workshops, and executive briefings that connect product capabilities to business outcomes and explain how GitLab differs from competing solutions. Design and improve standardized PoV templates with clear, repeatable success criteria. Account SAs own the customer PoV; you'll contribute product-specific content and expertise while keeping the evaluation connected to the broader GitLab platform. Equip account teams for product launches with Product Management and Product Marketing. Build demos and talk tracks, and turn early customer wins into reference stories. Serve as the escalation point for Account SAs and Post-Sales Solutions Architects (Post-Sales SAs) on complex product questions, integrations, and objections. Hand off PoV success criteria and architecture decisions to the Post-Sales SA with the account team when an opportunity closes. Stay involved until the customer's first production workload uses the product, and support complex accounts when Post-Sales SAs bring you in to drive adoption and consumption. Bring structured field feedback, competitive insights, and customer requirements to Product Management and Engineering with the wider SME team. Help manage early-access and design-partner programs, and represent GitLab through customer events, conferences, industry working groups, and published content. Build reference architectures, demo environments, competitive battlecards, PoV playbooks, and enablement content so account teams can handle more opportunities without your direct involvement. Mentor Account SAs and contribute to GitLab's global SME community of practice. What you’ll bring Substantial experience in technical pre-sales, solutions architecture, consulting, or software engineering, with deep, hands-on expertise in one domain: application security testing, supply chain security, and compliance; scalable cloud and hybrid platforms; large CI/CD environments and source code migrations; or production AI-assisted development, working prototypes, and competitive evaluations. Practical expertise in agentic and AI-assisted development workflows across planning, coding, testing, security, and delivery, applied in a customer-facing, pre-sales context. Experience winning technical decisions on large, complex enterprise opportunities through structured Proof of Concept (PoC) or PoV evaluations with defined success criteria and executive sign-off. Hands-on experience with Git, CI/CD, containers, Kubernetes, and at least one major cloud provider. The ability to lead a whiteboard session with engineers and present the business case to executives in the same meeting. Strong written communication, including the ability to turn complex topics into clear playbooks that others use. Comfort working asynchronously across time zones with Sales, Product, and Engineering. Optional: public speaking, published technical content, open source contributions, or relevant certifications in Kubernetes, cloud architecture, or security. If you bring transferable experience in an adjacent domain, we encourage you to apply. About the team We're building our SME organization within GitLab's Solutions Architecture team, and we're distributed and all-remote. How GitLab will support you Be nefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $166,200 — $279,900 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a seasoned backend engineer to design, build, and scale the backend systems powering OKX’s DEX trading products. You will own critical parts of the trading lifecycle—from quote discovery and order management to transaction submission, execution tracking, and reconciliation. Working closely with product, frontend, smart contract, and infrastructure teams, you will deliver secure, reliable trading experiences across multiple blockchain ecosystems. This is a hands-on engineering role with meaningful architectural ownership and opportunities to grow into technical leadership. What You’ll Be Doing Design and develop backend services for quote aggregation, order management, transaction orchestration, and execution tracking. Build reliable integrations with DEX protocols, liquidity sources, blockchain RPC providers, and indexing services. Define clear order and transaction state models, with robust handling of retries, duplicate requests, partial failures, and recovery. Ensure trading services remain reliable under high concurrency, traffic spikes, and degraded external dependencies. Implement appropriate rate limiting, concurrency controls, resource isolation, and graceful degradation. Optimize database access, transaction boundaries, caching, and asynchronous processing. Establish monitoring, alerting, load testing, and incident-response practices for critical trading flows. Support trading workflows across multiple blockchain ecosystems. Handle transaction submission, confirmation tracking, failed or dropped transactions, and chain reorganizations. Build data synchronization and reconciliation mechanisms to maintain consistency between backend records and on-chain execution. Translate product requirements into practical technical designs and production-ready services. Own features through implementation, testing, rollout, and post-launch operation. What We Look For In You 5+ years of professional backend engineering experience, including ownership of production systems. Strong proficiency in Java and its backend ecosystem. Solid understanding of concurrency, distributed systems, relational databases, caching, and messaging systems. E xperience building high-availability services and diagnosing performance or reliability issues in production. Understanding of blockchain transactions, smart contract interactions, and common DeFi trading mechanisms. Ability to independently drive a feature from technical design through production deployment. Strong ownership, sound engineering judgment, and effective cross-functional communication. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Seattle, Washington; United States (Remote); New York, New York; San Francisco, California Workplace: Hybrid ROLE SUMMARY We're at an inflection point. We started with core durable execution and are now evolving with the world as it transitions to AI. What it takes to get from where we are today to a world where Temporal underpins all software – including and especially agents – is going to be different. It will require unprecedented speed, iteration, market and customer focus, and invention. As an Agent Connectivity PM, you’ll help the world makes its transition to AI on Temporal. Without any effort, the market has already identified Temporal as a good substrate for agent workloads. But what makes agents powerful is connecting them to services and data. We are in the infancy of building out our connectivity layer, called Nexus, which has been the brainchild of our founder, Maxim, for many years. We now need to realize the full vision of Nexus by continuing to build out foundational capabilities like xyz and importantly, building agent-specific features and integrations, e.g., MCP connector, tool registry. You’ll identify the highest leverage areas for us to invest, and work closely with the founder/CTO and engineering team to get them to market. WHAT YOU’LL DO - Deeply understand problems faced by agent builders and identify opportunities where our products can make building agents faster, more intuitive, more reliable, and more powerful. - Define and build what’s next for Temporal. Own strategy and roadmap for agent connectivity. Turn ambiguous signals into clear product theses. How should we prioritize new capabilities like identity propagation or rate limits? How do we bootstrap an ecosystem of connectors? - Perform up-front discovery and translate customer, field, and open-source community signals into small tweaks, brand new abstractions, or platform bets. - Help engineers and designers deeply understand user needs, empowering them to make great product decisions. - Craft messaging around upcoming features that resonates with users. - Enable sales and marketing teams to effectively communicate with and win customers. - Strong technical depth. Ability to reason about distributed systems, workflow orchestration, service-to-service communication, APIs, SDKs, identity, and authorization. - Developer-platform experience. Experience with infrastructure, platforms, integrations, APIs, SDKs, service mesh, API gateways, or cloud developer products. You’ll build new things with a massive tailwind behind you: a proven technology, a large and growing customer base, and a market moving toward problems Temporal is uniquely equipped to solve. The opportunity is to turn that momentum into what comes next—not simply scale what already works. You’ll be expected to move fast, work across boundaries, and do what it takes to make it happen. WHO YOU ARE - You're ambitious. You want to win big. You don’t need someone else to set the pace. You get impatient when good ideas stay in slide decks, Slack, or meetings. - You're an owner. You are accountable to results over the process. You’re less focused on your swim lane and more focused on making the company successful. You have exceptional product and operational judgement. - You're resilient. Building at a high-growth company in 2026 is not for the faint of heart. You see the challenges and change as not just normal, but actually desirable. - You want to grow, and help others grow. You self-reflect often. You give feedback, and you seek it out. You have shameless curiosity and a propensity to question things deeply. - You prioritize the customer above all else. You want to understand our users' world and prioritize solving their problems above everything else. WHAT YOU’LL BRING - You have 8+ years of product management experience - You have technical depth, with experience working on platform, infrastructure, developer tools, or other technical products - You have worked at a startup, high-growth company or in a similarly intense and ambiguous environment WHAT YOU’LL OWN - Nexus product strategy and roadmap. Prioritize the work that makes Nexus the durable connectivity layer across teams, namespaces, services, and AI systems. - Current execution. Drive completion of in-flight work such as the new Nexus developer experience, Standalone Nexus Operations, connector foundations, caller identity, rate limits, and payload encryption. - Customer discovery and evidence. Stay close to design partners and strategic customers like Netflix, Duolingo, and Miro. - Developer and operator experience. Balance SDK ergonomics, schema-first contracts, codegen, service discovery, security, visibility, and control-plane needs. - Cross-functional launch and enablement. Make sure everyone in the company understands the problems Nexus solves and knows how to sell / deploy / support it. - Success metrics. Define adoption and momentum measures: activated accounts, completed Nexus operations, shared-service usage, SDK coverage, design-partner progress, and field readiness. WHY THIS ROLE MATTERS - Nexus is past GA and entering breadth. Adoption is real, but the next challenge is expansion across more teams, accounts, and use cases. - The foundation is landing now. Developer experience, connector foundations, and operator controls are the near-term unlocks. - The next wave is strategically important. Connector Ecosystem, Service Hub, and Agentic Communication Fabric could define how Temporal participates in the modern AI and service-connectivity stack. - You’ll shape an important product category. Nexus sits between durable execution, service-to-service communication, platform engineering, and AI systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States (Remote); Vancouver, British Columbia; Toronto, Ontario; Ottawa, Ontario Workplace: Remote ROLE SUMMARY Customers use Temporal’s core primitives to build critical systems, but too much of the experience still depends on custom patterns, deep Temporal expertise, and careful operational work. We’re hiring a Staff Product Manager, Core Primitives, to own strategy and roadmap for a focused Core Primitives charter. This role is not about shipping isolated features. It is about delivering the capabilities and developer experience that make it easier to model long-running work, coordinate across systems, handle failure, and operate production workloads with Temporal. You’ll partner with the product portfolio lead to align your charter with broader platform priorities, and with engineering and SDK leads to turn strategy into coherent behavior across Temporal’s server, APIs, SDKs, and Cloud experience. In the first year, success means Core Primitives has a clear strategy, prioritized roadmap, and shipped improvements that reduce the custom patterns, operational burden, and production risk developers face when building with Temporal. WHAT YOU’LL DO - Own the product strategy and roadmap for a focused Core Primitives charter - Translate customer, field, and open-source community signals into platform bets, deciding when to improve an existing primitive, introduce a new abstraction, change SDK/API behavior, build an integration, improve guidance, or create a more complete product experience - Partner deeply with engineering to ship core behavior improvements across server, SDKs, and APIs, making Temporal easier to model with, operate, and trust in production - Define developer experience goals and success metrics before major investments, then validate, measure, and iterate with technical users - Set clear product boundaries and success criteria so developers, internal teams, and adjacent product areas know how Core Primitives should be used and extended - Shape the external story for your area through positioning, launch narratives, documentation, examples, and close partnership with Developer Relations, Marketing, and field teams - Ship improvements with the documentation, examples, migration guidance, and launch support needed for adoption WHAT YOU'LL BRING - 8+ years of product management experience, with significant time on platform, infrastructure, developer tools, or other technical products - Experience turning ambiguous technical domains into clear strategy, roadmap, success measures, and shipped outcomes - Strong technical fluency in distributed systems, workflow or orchestration systems, event-driven architectures, APIs/SDKs, or comparable platform abstractions - Ability to reason about API semantics, failure modes, state management, reliability, scalability, and cost tradeoffs - High standards for developer experience across APIs, SDKs, documentation, examples, onboarding paths, and production workflows - Track record shipping technical products with engineering, then measuring adoption, learning from users, and iterating - Ability to translate emerging workload patterns, including AI agents and tool calling, into platform requirements for primitives, APIs, SDKs, and integrations - Ability to balance open-source developer experience, Cloud adoption, and enterprise production needs - Strong product storytelling for technical audiences, including strategy, launch narratives, tradeoffs, and developer-facing guidance NICE TO HAVE - Experience with workflow engines, durable execution, job queues, data pipelines, scheduling systems, or event-driven platforms - Experience building products across multiple programming languages, SDKs, or platform surfaces - Experience with AI agent platforms, tool calling, or durable execution for AI workloads - Hands-on engineering experience or meaningful experience building with infrastructure products Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About The Role We are looking for a Sr Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling. As a Senior Staff Platform Engineer, you will be the technical lead for our platform team, owning the technical direction and priorities across every area of our platform. You will lead large, high-impact programs that span quarters, working through ambiguity and dependencies with the engineering teams that build on our platform to align technical and business goals. You will stay hands-on in the hardest technical work, set the standards for how our platform is designed, built, and operated, and shape the capabilities that engineering teams rely on to ship and run their services. You will regularly present ideas to senior leaders and mentor engineers across the team. What You’ll Do Help drive technical design and delivery of core platform capabilities spanning cloud infrastructure, Kubernetes platforms, Observability, CI/CD systems, and developer tooling Lead end-to-end execution of complex, multi-quarter features and systems, from architecture and design through deployment and continuous refinement. Partner with other engineering teams to improve reliability, scalability, and performance of services running in cloud-native environments. Contribute to incident response and resolution, helping to drive improvements in availability and system stability. Advocate for best practices in software delivery, infrastructure management, and operational excellence. Mentor engineers and contribute to a strong engineering culture within the team. Stay current with emerging technologies and industry trends, bringing innovative solutions to the team. What We’re Looking For 10+ years of experience in platform, infrastructure, DevOps, or software engineering Proven experience successfully leading and delivering complex cross-team, multi-quarter initiatives. Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices. Strong software engineering background, with experience in backend development and distributed systems. Deep understanding of the AWS cloud platform and cloud-native architectures. Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation. Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling. Deep expertise with Kubernetes and container orchestration in production environments. Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability. Experience with incident management and operational best practices for large-scale systems. Proficiency in Go or Python. Familiarity with AI-assisted development tools. Strong foundation in platform security concepts. Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices. Outcome-driven mindset with a focus on solving real-world engineering challenges. A positive, adaptable attitude suited for a fast-moving environment. Nice To Have Experience scaling services globally FinOps or cloud cost management experience Regulated or high-availability environment experience Experience with Java or Kotlin Familiarity with GitHub Actions Experience with Kafka and Cassandra Why Join Us? Work on high-impact platform engineering challenges at scale. Collaborate with experienced engineers who value technical excellence and innovation. Play a key role in shaping the developer experience and operational foundations of Fanatics Core. Join a culture that encourages learning, growth, and technical leadership. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $220,000 — $275,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Product In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale. The Role We are looking for a Staff Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption. In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly. In this position, your responsibility will be to Design, implement, and operate core runtime services for serving search queries at scale Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets Develop systems that maintain performance and predictability under high load Optimise CPU, memory, and data access patterns in performance-critical paths Ensure reliability, observability, and predictability across production services Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals Support experimentation and iteration through controlled rollouts and rigorous benchmarking You may be a good fit if you: Have 8+ years of experience as a software engineer working on production backend systems Have strong hands-on expertise in C++ or Rust in real-world, high-load services Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints Understand performance at a systems level — CPU, memory, networking, and data access Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary Think end-to-end about request flows rather than staying within isolated components Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings Strong candidates may also have experience with: DBMS internals (open source or SaaS) and cloud infrastructure High-load web applications or large-scale APIs Performance-critical systems such as trading platforms or real-time data pipelines Low-level performance tuning and hardware-level optimisation Open-source contributions or active involvement in the engineering community Competitive programming or CTF participation SHAD or similar advanced technical programmes Conference talks or technical publications We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.