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Location: Abu Dhabi, UAE About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Role Overview This is a hands-on, full-cycle role that owns the whole fraud control loop: investigate, analyze, set up rules, monitor, and improve. You will work tickets daily, turn what you find into data-backed fraud rules and strategies, monitor how they perform, and keep refining them. Each stage feeds the next. You will own the card risk control strategy, from set-up through ongoing performance, and be accountable for the fraud rate and the interception rate. Key Responsibilities 1. Investigation Handle card risk tickets daily: review rule-triggered alerts, investigate suspicious accounts and transactions, and decide on block, decline, step-up, or card-lifecycle actions within SLA Investigate fraud typologies: account takeover, card testing, BIN attacks, merchant collusion, friendly fraud, and first-party abuse Assess merchant and transaction risk by MCC risk type, including high-risk merchants and non-card payment flows Manage disputes and chargebacks end to end under Visa/Mastercard rules: evidence, representation, pre-arbitration, and arbitration 2. Data Analysis Turn investigation findings into patterns: analyze ticket, alert, and transaction data to identify fraud trends, attack vectors, and coverage gaps Measure false positives against loss to judge whether existing rules are effective 3. Rule Set-up Design and set up fraud rules, velocity limits, and strategies based on the analysis Make sure rule triggers and decisions stay compliant; escalate linked AML/sanctions concerns to Compliance 4. Rule Monitoring Continuously monitor alert and ticket data after rules go live Track and report KPIs: fraud loss rate (bps), chargeback ratio, approval rate, alert handling time, recovery rate Keep the programme within scheme monitoring thresholds (e.g. VAMP, ECM/EFM) and support scheme and partner audits 5. Rule Improvement Adjust, retire, and add rules in response to monitoring results, balancing fraud loss against false positives and approval rate Feed fraud trends back to Product and Engineering to improve onboarding, 3DS, and authorisation controls Requirements 3+ years in card fraud strategy or payments risk at an issuer, EMI, neobank, PSP, or card programme manager Proven hands-on experience building and tuning fraud rules and strategies, not only working tickets Hands-on knowledge of Visa and/or Mastercard dispute rules, reason codes, and chargeback timelines Experience with MCC-based risk, high-risk merchants, and non-card payments Strong data skills: SQL and Excel/Sheets to pull, slice, and explain fraud trends Fluent English; Mandarin or other European languages are a plus Nice to Have Crypto-linked or prepaid/debit card programme experience, including crypto-to-fiat conversion at authorisation Card risk control experience across multiple countries/regions Experience launching a card programme in a new market or with a new BIN sponsor Scheme monitoring programme remediation experience Python or BI tooling (Looker, Tableau, Metabase) Certifications: CFE, ACAMS, or equivalent Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: United States: Atlanta, GA; Austin, TX; Denver, CO; Seattle, WA; Washington DC United Kingdom: London Portugal: Lisbon Canada: Toronto About the team Cloudflare Browser Isolation runs web content in remote browsers, helping protect users from threats while preserving a responsive browsing experience. Our team builds the Chromium-based browsing engine, remote rendering and streaming technology, and distributed services that manage browser sessions across Cloudflare’s global network. You will work at the intersection of systems programming, distributed systems, and security. Engineers contribute across the product, collaborating on browser changes, service orchestration, observability, and build infrastructure. Scope and growth At this level, you will be accountable for outcomes across a problem area that may span several components. You will establish technical direction, make uncertainty and trade-offs explicit, and help other engineers succeed while remaining hands-on. This is an individual-contributor role; people-management experience is not required. Technologies we use Browser engine: Chromium and C++. Systems programming: Rust. Distributed services and orchestration: Go, TypeScript, Cloudflare Workers, Nomad, and Consul. Remote rendering and streaming: WebRTC and Skia. Browser client: TypeScript, WebAssembly, and WebGL. What you will do Lead complex, multi-component initiatives from problem definition and design through implementation, staged rollout, and measurable production outcomes. Design and implement changes in our Chromium-based C++ browser and the distributed services and systems components supporting remote browsing, working across Go, Rust, and TypeScript. Make and explain architectural trade-offs across latency, availability, resource efficiency, security boundaries, and operational complexity. Investigate difficult cross-layer failures and performance bottlenecks, distinguishing browser, host, network, and control-plane causes. Improve resilience, capacity management, observability, and release safety; define success metrics and validate results. Coordinate work with partner teams, surface dependencies and risks early, and guide delivery through ambiguity. Mentor engineers and raise the quality of code reviews, design reviews, testing, documentation, and operational practices. Participate in the team’s production on-call rotation after onboarding, lead technical incident investigations as needed, and drive durable corrective actions. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. Desirable Skills, Knowledge, and Experience Strong production C++ proficiency, including memory and resource ownership, concurrency, and debugging in substantial codebases. A track record of independently leading complex systems or distributed-service improvements across multiple components, from an unclear problem to a reliable production outcome. Strong Linux/UNIX and networking fundamentals, with experience diagnosing correctness, latency, and resource-consumption issues using profiling and operational evidence. Experience designing and operating distributed systems, with sound judgment about service boundaries, data partitioning, consistency, timeouts and retries, backpressure, capacity limits, and recovery from partial failures. Experience designing safe rollout and recovery strategies and maintaining production software over its lifecycle. Ability to communicate trade-offs clearly, align stakeholders, mentor teammates, and improve engineering practices through constructive feedback. A willingness to work across C++, Rust, Go, and TypeScript and learn unfamiliar parts of the stack. Bonus Points These are preferred qualifications, not prerequisites. Prior Browser Isolation or Cloudflare experience is not required. Browser engines, Chromium, browser sandboxing, or security-sensitive systems. Low-latency streaming, graphics, remote computing, or other real-time systems. Container and workload orchestration, including Nomad or Kubernetes, and service discovery. Experience using Rust for systems programming or distributed services. Go or TypeScript; WebRTC, Skia, WebAssembly, or WebGL. Production observability, capacity planning, incident response, or build and release infrastructure. Compensation For Denver based hires: Estimated annual salary of 168,000 - 231,000 USD For Seattle based hires: Estimated annual salary of 185,000 - 254,000 USD For Washington DC based hires: Estimated annual salary of 185,000 - 254,000 USD For Toronto based hires: Estimated annual salary of 150,000 - 206,000 CAD For Lisbon based hires: Estimated annual salary is between 66,000 - 91,000 EUR The final offer will be in alignment with the applicable law and collective bargaining agreements. Applications will be accepted until November 25, 2026. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is CAD $ 164,490 - $197,389 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $167,143 - $200,572. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $170,247 - $204,297. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is USD $ 154,445 - $185,334 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

About the Team Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. As a member of the Personalization team, you will improve the e-commerce experience for hundreds of millions of users across the world by designing, delivering & maintaining high-load real-time services in close collaboration with great engineers both within the team and across other teams such as the Ranking team. The general goal of the Personalization team is providing best-in-class personalization for all e-commerce experiences provided by Constructor. The job can consist of, but is not limited to: Improve personalized experience across different products, domain verticals and platforms Improve business KPIs by validating hypotheses around personalization Research different personalization approaches to provide the best outcome to the business Model user interactions to provide the best experience to shoppers Collaborate with technical and non-technical business partners to develop and update personalization capabilities Communicate with stakeholders within and outside the team Requirements Hard skills 3+ years of professional experience in applied machine learning Proficiency with Python, SQL and the big data stack for end-to-end ML product development Experience building, shipping, and maintaining personalization / recommender / ranking systems in production Experience with any of the major public cloud platforms will be a plus Experience with design and analysis of A/B tests Great skills delivering & communicating business value to stakeholders Soft skills Excellent English communication skills Experience collaborating in cross-functional teams Ability to deep dive into problems and provide actionable outcomes Ability to work autonomously and independently Proactivity Benefits Work with smart and empathetic people who will help you grow and make a meaningful impact. Regular team offsite events to connect and collaborate. Fully remote team - choose where you live. Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. Work from home stipend! We want you to have the resources you need to set up your home office. Apple laptops provided for new employees. Training and development budget for every employee, refreshed each year. Maternity & Paternity leave for qualified employees. Base salary: $80k–$120K USD, depending on knowledge, skills, experience, and interview results Stock options - offered in addition to the base salary. Diversity, Equity, and Inclusion at Constructor Constructor.io is committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, they welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. They encourage you to apply even if you don’t meet all of their listed qualifications. How they handle your data By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, they will retain your data for a limited period as described in their Recruitment Privacy Notice. After that period your data will be deleted or anonymized.

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations that need cross-team coordination Join an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communicate clearly with users at every technical level Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles Spot patterns in support requests, surface recurring issues, and flag opportunities to automate Help streamline onboarding and other high-volume operations as we scale Contribute to automation efforts Maintain and improve device management, identity, and access systems Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications Hands-on IT support experience, ideally in a fast-paced environment Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android Experience with Google Workspace administration Experience with Slack administration, including workspace management, permissions, and troubleshooting Experience supporting and administering other SaaS tools Understanding of identity and access fundamentals: SSO, MFA, directory services Familiarity with MDM fundamentals and endpoint management concepts Basic scripting (Bash or Python) for automation Strong troubleshooting skills, with a methodical and persistent approach Clear communicator who enjoys helping people solve problems Take ownership of problems and follow through until they're resolved Preferred qualifications Familiarity with zero-trust security concepts and endpoint security tooling Networking basics: DNS, DHCP, VPNs Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns Experience using AI tools to improve personal or team productivity Interest in developing deeper technical skills and taking on more complex systems administration over time Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mumbai, India Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. About the role The Senior Client Partner is responsible for driving advertising revenue growth by owning a portfolio of advertisers and/or agencies, building relationships with senior stakeholders, and delivering consultative, insight-led solutions that help clients achieve brand and performance outcomes on X. The role blends new business growth and account expansion, campaign strategy, and cross-functional leadership to deliver measurable results. This is a frontline, growth-oriented role in a reseller market where X owns the territory end to end. The focus is firmly on hunting new business across the SMB and mid-market segment — expanding the long tail, driving new activations, and increasing active clients — rather than purely farming an existing book What you'll do :- Revenue & Growth (Core) Own and grow a book of business; deliver quarterly/annual revenue targets through new spend, renewals, and upsell. Hunt and win new business across SMB and mid-market advertisers , driving new activations and expanding the long tail of active clients. Build and execute account growth strategies that create win/win outcomes for X and advertisers. Develop and present consultative sales narratives showing how X advertising solutions connect brands with audiences and deliver outcomes. Maintain a strong pipeline, forecast accuracy, and disciplined account planning to achieve targets. Client & Agency Partnership Establish and nurture senior relationships with advertisers and agency stakeholders; act as a trusted advisor. Lead strategic QBRs, planning sessions, and joint business plans; align on objectives, audience, creative approach, and measurement. Identify client business challenges and translate them into clear media strategies and platform solutions. Operate a client-centric model with full agency ownership — no closed verticals — and the freedom to pursue any vertical or client base. Market Leadership & Cross-functional Collaboration Stay current on X product updates and the broader digital media landscape; translate market changes into client opportunities. Collaborate with internal partners (measurement, creative, ops, product, client solutions) to deliver a strong client experience and resolve issues quickly. What we are looking for :- 5+ years in digital media, platform, or ad-tech sales with a track record of exceeding quota and growing a book of business. A purely digital recent track record — early-career offline/traditional media experience is fine, but recent experience must be in digital. Demonstrated hunter mentality — aggressive, new-business-oriented, and comfortable building a book in an open, reseller market. Strong, relevant network in the West and South India market — existing relationships with marketing decision-makers at brands and/or agencies, and a demonstrated ability to open new doors. Background from a social media platform, OTT/streaming, or programmatic/publisher environment is strongly preferred (e.g. social platforms, streaming players, DSP/SSP and publisher partners). Excellent communication, storytelling, and presentation skills; able to influence senior stakeholders. Strong understanding of the digital advertising ecosystem (formats, measurement, targeting, brand vs. performance objectives). Comfortable with data: ability to translate performance signals into insights and clear client recommendations. Experience selling across both brand and performance objectives (and ideally video ad solutions). Comfortable operating in fast-paced, high-change environments; strong collaboration and problem-solving. What we offer :- Work with X, a marquee global social platform — standout experience that few in the market can claim, and a strong differentiator for your career. An open, uncontested market — X owns the territory here, so how you approach, acquire, and grow clients is genuinely up to you. Real ownership — own your book end to end, with full agency ownership and a client-centric (not verticalized) model. Territory that scales with you — your remit grows with your caliber, exposure, and the business you can demonstrably manage. Autonomy and work-life balance — the freedom to own how you work, backed by a supportive, collaborative team. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas About Us At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! About the team You will be part of the Strategy  Data and Analytics team within Cloudflare’s Infrastructure Strategy department. The Strategy team focuses on building both external and internal relationships that allow for Cloudflare to scale and reach user populations around the world. Our group takes a long term and technical approach to forging mutually beneficial and sustainable relationships with all of our network partners. This team in particular is focused on Cloudflare’s infrastructure budget, strategy, investment plan,  and costs. About the role We are looking for an early-career Infrastructure Business Operations Associate to work directly with Cloudflare's Infrastructure Strategy organization. You will help turn complex infrastructure questions into clear analyses, recommendations, and repeatable operating processes. Your work will span capacity and supply planning, infrastructure budgets, procurement, deployment, product and deal economics, and cost management, connecting demand assumptions and investment decisions to execution. You will be successful in this role if you bring a structured approach while remaining practical and hands-on. You should be comfortable working through ambiguity, reconciling imperfect data, asking thoughtful questions, and communicating a concise answer. You do not need to arrive as an infrastructure expert; curiosity, sound judgment, attention to detail, and a willingness to learn quickly matter more. What you'll do Build and maintain analyses for infrastructure budgets, forecasts, actuals, commitments, and variances. Support capacity, supply, and investment decisions with scenario models, unit economics, sensitivity analysis, and clear trade-offs. Analyze product and deal economics, including cost-to-serve, pricing scenarios, contribution margin, and the operational drivers behind profitability. Partner with Product, Finance, and commercial teams to evaluate strategic opportunities and explain how demand, architecture, hardware, capacity, and contract assumptions affect deal margins. Track major investments from demand and approval through procurement, manufacturing, deployment, and invoicing; identify gaps, risks, and required follow-ups. Turn ambiguous stakeholder questions into structured workplans, gather evidence across systems and teams, and develop decision-ready recommendations. Prepare concise executive materials, operating reviews, and written updates that explain what changed, why it matters, and what decision is needed. Partner with Finance, Supply Planning, Engineering, Procurement, and operations teams to reconcile data, clarify ownership, and keep work moving. Improve recurring workflows using spreadsheets, SQL, AI tools, lightweight automation, and clear documentation; help maintain trusted data and controls. Examples of desirable skills, knowledge and experience Approximately 2-4 years of experience in management consulting, business operations, strategic finance, analytics, supply chain, or another quantitatively rigorous role. Strong structured problem-solving skills: you can break an unclear question into testable components, identify the important drivers, and synthesize a practical answer. Experience with, or strong interest in, product economics, deal modeling, cost allocation, pricing, or margin analysis. Comfort working with quantitative data in spreadsheets; experience with SQL, data visualization, or financial and operational modeling is helpful, or you are motivated to learn. Clear written and verbal communication, including the ability to turn detailed analysis into concise materials for executive audiences. Strong project-management habits, attention to detail, and the persistence to follow issues across multiple teams and systems to resolution. Curiosity about internet infrastructure, hardware, AI Infrastructure, capacity planning, and economics; prior infrastructure experience is welcome but not required. A practical approach to AI and automation: you use tools to move faster while validating outputs and maintaining sound judgment. Bonus Points Familiarity with Google Cloud Platform or other analytics databases What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract to Perm 🏢 Work Arrangement: Remote set-up for US and Canadian citizen and relocation assitance and bonus for European and UK candidates 🚀 Start Date: TBD 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . Candidates willing to permanently relocate to Montreal are strongly preferred. Strong written and verbal communication skills in English are required. French language proficiency is considered an asset. About the Role We are seeking a Senior Orbit Dynamics & Mission Analysis Engineer to lead advanced astrodynamics, orbit dynamics, trajectory optimization, and space mission design and analysis activities. This senior-level role will focus on solving complex orbital mechanics and mission analysis problems through advanced modeling, simulation, optimization, and technical analysis. The ideal candidate will work independently on challenging astrodynamics problems while leading technical analyses and trade studies supporting sophisticated space missions. Key Responsibilities Orbit Dynamics & Mission Analysis Perform advanced orbit dynamics and astrodynamics analysis for space missions. Conduct spacecraft trajectory design and optimization. Apply advanced orbital mechanics and perturbation theory to mission analysis. Perform orbit determination and estimation analysis. Evaluate and optimize mission trajectories using analytical and computational methods. Conduct mission design and architecture analyses across a range of mission scenarios. STK Modeling & Simulation Utilize Systems Tool Kit (STK) extensively for mission analysis and simulation. Apply advanced STK modules, including: Astrogator Optimizer Coverage Communications Develop STK automation and scripting solutions using APIs and STK Connect . Build and maintain mission analysis models and simulations to support technical decision-making. Engineering Tools & Software Develop advanced engineering analysis tools, models, and simulations using Python and MATLAB . Apply computational methods to solve complex astrodynamics and mission analysis problems. Support software development practices, including version control, testing, documentation, and CI/CD. Technical Leadership & Trade Studies Lead complex technical analyses and engineering investigations. Conduct multidisciplinary trade studies evaluating mission architectures and technical alternatives. Independently identify, analyze, and solve challenging astrodynamics problems. Present technical findings, recommendations, and analysis results to engineering stakeholders. Contribute technical expertise to mission design decisions and program development. Required Qualifications Master's degree in Aerospace Engineering, Astronautical Engineering, Physics, Applied Mathematics , or a closely related field. A Bachelor's degree with significant additional relevant experience, typically 9+ years , will also be considered. Minimum 7 years of professional post-graduation experience directly related to: Orbit dynamics Astrodynamics Trajectory optimization Space mission design and analysis Expert-level proficiency with STK , including Astrogator, Optimizer, Coverage, and Communications. Demonstrated experience with STK automation and scripting , including API and STK Connect. Advanced programming proficiency in Python and MATLAB , with experience developing engineering analysis tools, models, or simulations. In-depth theoretical and practical knowledge of: Advanced orbital mechanics Perturbation theory Orbit determination and estimation Trajectory optimization Gradient-based optimization methods Evolutionary optimization methods Proven ability to independently lead technical analyses and complex trade studies. Excellent analytical, critical-thinking, and problem-solving skills. Strong written and verbal communication skills in English. Preferred Qualifications Ph.D. in Aerospace Engineering or a closely related field with a focus on astrodynamics or orbital mechanics. Experience with additional mission analysis and simulation environments such as: GMAT FreeFlyer Orekit SPICE Experience with C/C++ programming. Experience with spacecraft Guidance, Navigation, and Control (GNC) analysis or design. Experience with multi-body dynamics. Experience supporting large satellite constellations. Experience with satellite operations, particularly flight dynamics activities . Experience with software development best practices, including Git, software testing, technical documentation, and CI/CD . Publications or conference presentations in astrodynamics, orbital mechanics, or related fields. What We're Looking For We’re looking for a senior astrodynamics and mission analysis expert who can independently tackle complex orbital mechanics problems and provide technical leadership on advanced space missions. The ideal candidate combines deep theoretical knowledge with hands-on experience using STK, Python, and MATLAB , along with a proven ability to turn sophisticated mission analysis problems into practical engineering solutions. Experience with advanced trajectory optimization, orbit determination, GNC, constellation dynamics, or flight dynamics operations will be highly valuable.

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Lisbon, Portugal Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote Portugal, Portugal Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Barcelona, Spain Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.  This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

You bring years of hands-on buying experience, but here you no longer run budgets yourself: you take that expertise into client deals. You gather everything we need to show the client, on their own data, what the agent will change in their numbers, then present it.

Location: United States; Canada Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities - Build and maintain data pipelines for SFT, preference, and RL post-training data. - Own dataset quality, versioning, and reproducibility. - Turn research data recipes into production-grade, reusable components. - Scale model inference for data generation and model-based grading. - Design data formats and schemas that keep post-training datasets consistent and efficient to train on. - Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications - Strong software engineering skills. - Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. - Track record of running distributed data processing and model inference at scale. - Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour. - Excellent communication skills. This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Europe; New York; Toronto Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Key Overview: As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams. Key Responsibilities - Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards). - Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization. - Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting. - Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions. - Turn successful research into robust, reproducible training recipes for production models. Qualifications - Strong research and software engineering skills, with hands-on experience training LLMs. - Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale. - Track record of work on generalization, robustness, or distribution shift, through publications or shipped models. - Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results. - Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus. - Excellent communication skills. - Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes. Working Location This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.