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Location: In-Office 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, TX | New York City, NY | San Francisco, CA About AI Gateway AI inference is becoming core infrastructure. Every serious application will need access to many models across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare's bet that this layer belongs at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. Developers using AI Gateway need answers to two questions. Is the model I'm calling working the way you say it does? And which model should I be using at all? You'll lead the models team that answers both. You'll start with model operations. That's the work behind every model in the catalog: provider integrations, capability testing, pricing and metering, capacity, security reviews, docs, health, and deprecations. Sometimes a launch needs to go live within minutes of a lab's announcement. Sometimes the right call is to hold it. Cloudflare is an infrastructure company at heart, so reliability and accuracy come first; speed comes from preparation and automation. Then you'll bring model intelligence online. That means turning what we learn from Gateway traffic into decisions for customers: capability maps, per-task rankings, auto-routing profiles that pick the right model for each request, evals and regression detection, and market intelligence developers can trust. This is a people-management role reporting to the AI Gateway Engineering Manager. You'll hire, develop, and lead the team, and you'll stay hands-on: writing code, building agent-driven workflows, and getting into the details of a failed launch or a suspicious eval SLO. Expect to manage people, projects, model stock, and operations all at once. About the Role Build and lead the models team: Hire, coach, and grow the people who run the catalog today and build its intelligence over time. Give people real ownership, give direct feedback, and grow leads who can run their own areas. Run model launches end-to-end: Scope integrations, coordinate testing and evals, confirm pricing, metering, capacity, and security, and get docs and announcements ready. Prepare day-zero launches in advance so they can ship in minutes. Keep the catalog true: Make sure what we publish (capabilities, limits, versions, prices) matches what developers actually get. Catch silent regressions, such as broken tool calling, truncated streams, quantization changes, or usage and pricing mismatches, before customers do. Build model intelligence: As it comes online, own the evals, capability maps, and per-task rankings behind our auto-routing profiles and model recommendations. Make sure they measure what they claim to, and connect regressions to routing decisions so customers who chose "auto" aren't the ones who discover a problem. Treat the catalog and intelligence as products: Have a point of view on which models belong in the catalog, which routing profiles to ship, and what market intelligence to publish. Base it on usage, quality, reliability, and cost data. Turn what you learn into roadmap input. Run a lightweight operating cadence: Keep one source of truth for what's in flight, who owns it, what's blocked, and what ships next. Keep Engineering, Product, Partnerships, and other stakeholders aligned and informed without status meetings. Automate relentlessly: Turn repeatable steps into scripts, tools, and agent workflows: endpoint validation, eval runs, catalog and pricing reconciliation, regression detection, and provider follow-ups. Manual effort per launch should fall as the catalog grows. Responsibilities Day-Zero & Quality Launches: Ensure new models launch on day zero with tested capabilities, accurate pricing, docs, and a clear call on routing eligibility. Catalog Reliability & Health: Ensure the catalog reflects reality, and proactively identify when a model or provider is underperforming before customers notice. Auto-Routing & Optimization: Deliver auto-routing that measurably beats a fixed model choice on cost or quality for users. Developer Trust & Methodology: Build and maintain trusted rankings and recommendations grounded in solid methodology. Partner & Stakeholder Management: Set clear expectations for providers, while keeping Engineering, Product, Partnerships, and other stakeholders aligned. Team Leadership & Growth: Provide clear ownership and direction so the team knows what's next, who owns it, and how to grow into bigger roles. Operational Scalability: Continually drive down the human effort required for each launch, eval, and routing update through tools and automation. Desirable Skills, Knowledge, and Experience People Leadership: Experience hiring, managing, and growing engineers or operators, giving direct feedback, delegating real ownership, and expanding scope without becoming a bottleneck. Technical & Shipping Capabilities: Proven track record of taking technical launches or integrations from ambiguity to production across teams and partners. Hands-on ability to write TypeScript, Python, or Rust, read API docs, inspect endpoints, and debug using terminal tools (logs, cURL). Model Ecosystem Expertise: Deep familiarity with new models, labs, and inference providers. Hands-on understanding of streaming, tool calling, structured outputs, rate limits, token pricing, and provider-specific model behavior variations. Product & SRE Mindset: Data-driven product instincts to advocate for adding, modifying, or retiring catalog items. SRE approach to defining, measuring, and alerting on service health, managing incidents calmly, and fixing root causes. Agent Workflows & Detail-Oriented Execution: Daily experience building with agents—scoping work, verifying outputs, and integrating deterministic checks or human judgment appropriately. Meticulous attention to detail regarding model IDs, context limits, per-token prices, and response fields. Bonus Qualifications (Nice to Have): Experience at an inference provider, model lab, model router, eval platform, or API company. Background in evals, ranking/recommendation systems, observability, metering, or usage-based billing. Familiarity with Cloudflare Workers, AI Gateway, Workers AI, or Replicate. Relevant domain backgrounds in engineering management, SRE, partner engineering, evals/applied ML, technical program management, or solutions engineering. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $230,000 - $317,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $275,000 - $303,000 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: Hybrid/Remote - Europe (incl. UK); Estonia (remote); Switzerland (remote); Bulgaria (remote); Serbia (remote); Luxembourg (remote); France (remote); Paris (on-site); Norway (remote); England (remote); Croatia (remote); Sweden (remote); Scotland (remote); Slovenia (remote); Czechia (remote); Florence (on-site); Milan (on-site); Spain (remote); Romania (remote); Netherlands (hybrid); Ukraine (remote); Austria (remote); Denmark (remote); Ireland (remote); Slovakia (remote); EU (remote); Leuven (on-site); Belgium (remote); Northern Ireland (remote); Athens (on-site); Amsterdam (hybrid); Lithuania (remote); UK (remote); Hungary (remote); Finland (remote); Poland (remote); Wales (remote); Germany (remote); Eindhoven (hybrid); Moldova (remote); Albania (remote); Greece (remote); Zurich (on-site); Portugal (remote); Bristol (on-site); Italy (remote); Latvia (remote) Workplace: Remote About Us Axelera AI https://www.axelera.ai is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 21 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview As a Senior/Staff Software Engineer in the Model Enablement team, you will build our model enablement platform and decide how each model runs across the Metis or Europa AIPU, the host CPU and the host's accelerators. How this work is split and scheduled determines most of the end-to-end performance a customer sees in the Voyager SDK. The role combines architecture and hands-on work across the model frontend, the graph compiler, the runtime and the application pipeline. During model bring-up, you cover the frontend and graph side, and a device-side engineer covers the backend. Our team uses AI coding agents in daily work, and you will use them to build, test and verify your own work. We also welcome experienced field application engineers, technical leads and engineering managers who want to return to hands-on engineering. Experience in planning, delegating and reviewing work transfers well to working with AI agents. Key responsibilities: - Model enablement platform and agent harness: Build the platform that engineers and AI agents use to bring up models: reusable tools to partition, compile, run and profile; environments with access to real hardware; closed-loop runs that apply a change, measure it against the reference and repeat; and verification (differential testing, regression detection) integrated into CI. - Model ingestion: Own how a PyTorch or ONNX model is captured, analysed and split across the AIPU's matrix and RISC-V vector units, the host CPU and the host's accelerators (GPU, NPU, video decoder), with placement tags that users can read and override. Build this with the graph compiler team so it works for every model. - Heterogeneous execution: Extend that split to large models, cascades and multi-model pipelines, for example with expert offloading and caching across device and host memory. Agree the plan with the graph compiler team. - End-to-end performance: With the application team (pipeline builder) and the runtime team, bring each model to its best end-to-end performance: overlap of host and device work, zero-copy buffers, batching, multi-core scheduling, and models with several inputs. Profile device time, host time and data movement, and confirm each speedup in the full pipeline. - Critical models: Study the models that matter most to customers, on Metis today and on Europa, and turn each lesson into a platform improvement. Qualifications: Essential - 8+ years of engineering experience in systems, compilers, runtimes or performance, including system-level design ownership. - Hands-on experience with heterogeneous computing across CPU, GPU, DSP, NPU or FPGA, including reasoning about compute, memory bandwidth, latency and data movement. - Solid fundamentals in computer architecture, operating systems and parallel programming. - Familiarity with ML graph representations and compiler concepts: graph capture (torch.export, FX, ONNX), lowering, operator fusion, partitioning, memory planning. - Strong C++ and Python. - Daily use of AI coding agents on real engineering work, with the judgment to review and test their output. Preferred - Hands-on experience with MLIR or another compiler framework (TVM, XLA, TorchInductor, IREE). - Experience with an inference runtime or execution engine (ONNX Runtime execution providers, a custom NPU or DSP runtime). - Experience with GPU compute (CUDA, OpenCL, Vulkan) or SIMD optimization on Arm or x86. - Experience with large-model execution techniques such as offloading, expert caching, speculative decoding, pipelining across devices. - Experience building agent environments, evaluation harnesses or verification frameworks (differential testing, regression detection), or MCP-based tooling. Location We offer a flexible working arrangement, with options to: - Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity. - Work fully remotely from any European country (incl. the UK) you are already in. - Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven). Kindly note that priority will be given to candidates who are [interested in being] based in Belgium or Italy. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

Location: Austin, United States Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? As a Talent Acquisition Partner specializing in Go-to-Market hiring across North America, you will play a critical role in attracting and hiring top sales talent, with a strong focus on Account Executives and other senior commercial professionals. You will partner closely with hiring managers and business leaders to develop effective talent strategies, build high-quality pipelines, and deliver an exceptional candidate experience that enables business growth. Manage the full recruitment lifecycle for GTM roles, with a primary focus on Account Executives and other experienced sales and commercial hires Partner closely with hiring managers and sales leadership to understand hiring priorities, workforce planning needs, and market challenges, providing strategic talent acquisition guidance Proactively source and engage high-caliber candidates with 5+ years of relevant experience through LinkedIn, networking, referrals, industry events, and direct outreach Build and maintain strong pipelines of passive sales talent to support current and future hiring needs across North America Develop trusted relationships with candidates throughout the recruitment process, ensuring a seamless and high-touch experience Assess candidates against role requirements, sales competencies, and cultural fit through structured screening and interview processes Leverage market intelligence, competitor insights, and talent mapping to identify and attract top-performing GTM professionals Drive employer branding initiatives targeted at experienced sales talent and strengthen TeamViewer's presence within relevant talent communities Monitor recruiting performance metrics, pipeline health, and hiring outcomes, providing insights and recommendations to continuously improve hiring effectiveness Requirements: Up to 1+ years of full-cycle recruiting experience, with a strong focus on sales, Go-to-Market, or commercial hiring Proven track record of successfully hiring experienced Account Executives and other senior GTM professionals Bachelor's degree in Human Resources, Business Administration, or a related field Strong understanding of sales organizations, GTM structures, and the talent landscape for commercial roles Excellent stakeholder management, communication, and influencing skills, with the ability to partner effectively with senior leaders Demonstrated ability to proactively source, engage, and assess passive talent in competitive markets Experience using ATS platforms, LinkedIn Recruiter, and talent sourcing tools Strong analytical mindset with the ability to leverage recruitment data and market insights to drive hiring decisions Ability to manage multiple priorities and thrive in a fast-paced, high-growth environment Passion for delivering an exceptional candidate experience and building diverse, high-performing teams What we offer: Work location is Austin, Texas (Hybrid to the office). Competitive compensation and bonuses Flexible PTO and paid holidays 401(k) with employer matching Comprehensive Health insurance package including 100% employer-paid medical coverage Up to 12 weeks of Parental Leave Basic Life Insurance, Short-Term & Long-Term Disability, 100% employer-paid Quarterly teambuilding events, leadership luncheons, and companywide “All Hands” meetings Open door policy and business casual dress code We celebrate diversity as one of our core values. Join c-a-r-e and lead change initiatives together with us! In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States. Please understand TeamViewer is unable to provide sponsorship for employment or work authorization now or in the future. TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an experienced and detail-oriented Product Designer to join the OKX team, focused on VIP and Deposit & Withdraw experiences. You'll help guide the team's attention to UX craft and lead cross-functional design alignment and efficiency across our global apps. This pivotal role focuses on crafting dynamic and engaging experiences for our highest-value users and the deposit and withdrawal journeys that underpin every product on the platform, including how those journeys connect to Earn. As part of this role, you will be part of a world-class team shaping how VIP users experience tiering, benefits, and recognition, as well as how all users move funds in and out of OKX across fiat and crypto rails. Collaboration is key in this position, as you will work closely with our global design, product, creative, strategy, engineering, and research teams to elevate the cutting edge of our product offerings. Your contributions will steer the development and implementation of new concepts for VIP and Deposit & Withdraw, deliver designs aligned with business objectives. The right candidate for this role possesses a detail-oriented approach to user experience, with a passion for holistic product-design thinking. As a strategic partner to cross-functional teams, you should excel in adaptability and conversing with stakeholders, while continuing to maintain a focus on excellent user experience and product quality. What You’ll Be Doing Leverage data, insights, and user feedback to bring human voices into problem statements, product interfaces, and user journeys Generate ideas quickly, and connect regularly with customers to validate directions Participate in design critiques and present work in product leadership feedback meetings Own end-to-end design quality for VIP and Deposit & Withdraw, which includes advocating for UX craft and users Design VIP tiering, benefits, and recognition experiences, including how Earn perks and bonuses surface for VIP users Design deposit and withdrawal flows across fiat and crypto rails that are fast, trustworthy, and easy to follow Co-lead the product development process, influencing strategic decisions improve the overall product experience, and ensure consistency Partner with visual designers, product managers, user researchers, and engineers across markets to build and ship experiences that represent the company vision Work across teams to drive consensus and advocate for solutions that balance the needs of our users with our business goals Think systematically about UI patterns and reusable solutions, designing not just individual screens but scalable components that work across features and contexts Contribute to and evolve our design system by identifying opportunities to abstract one-off designs into well-documented, flexible components that accelerate the team What We Look For In You Must be native to crypto and have experience in investing in Cefi or DeFi Requires 5-8 years of Product Design experience, with a Bachelor’s degree in Product Design, Web Design, or equivalent project/portfolio experience Experience designing outstanding digital products in an agile development environment with cross-functional partners, backed by a portfolio that showcases modern design work and demonstrates your ability to design mobile-first digital Deep understanding of human-centered design principles, and proficient in dissecting complex problems and tasks, translating them into user-centric, data-driven experiences that are intuitive and inclusive Extensive background in developing digital products and experiences through comprehensive knowledge of user research, user experience, interaction design, and prototyping techniques, and demonstrated expertise in employing design methodologies and tools to facilitate cross-functional collaboration in understanding and meeting user needs Skilled in thriving within a fast-paced environment, adept at managing multiple dependencies, prioritizing tasks independently, and demonstrating flexibility while proactively addressing challenges Strong presentation, interpersonal and communication skills, with experience articulating complex and abstract concepts persuasively, providing rationale behind decisions, remaining open to feedback, and confidently representing viewpoints Systems-level design thinking: you naturally spot patterns across flows and proactively create reusable, scalable components rather than solving each screen in isolation, with experience building, documenting, or contributing to a component library or design system Nice to Haves Knowledge of OKX VIP, Deposit & Withdraw, and Earn products Experience working with teams across offices and US time zones Experience using AI tools (Figma plugins, generative design, prompt-based prototyping) to accelerate design workflows and explore concepts faster Experience using AI to build systematic design approaches, moving beyond screen-by-screen design to construct interactive, high-fidelity flows that can be explored and validated end to end Highlights of Perks and Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-EW1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Brazil, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The world's largest human resources consulting firm, headquartered in New York City, with main branches in 40+ countries. Over 25,000 employees operate internationally in more than 130 countries. Its services are used by 97% of Fortune 500 companies What You’ll Do Collaborate directly with business stakeholders and domain experts to understand their objectives, processes, constraints, and expected outcomes. Analyze business requirements, documentation, examples, templates, and other reference materials provided by stakeholders. Identify workflows and use cases that can be implemented or improved through Claude Code Skills. Design, implement, test, and maintain reusable Claude Code Skills. Create clear skill instructions, supporting scripts, reference materials, validation logic, and reusable workflow components. Translate complex or ambiguous business processes into structured, executable instructions for AI agents. Evaluate skill behavior using realistic scenarios, test cases, and acceptance criteria Improve the reliability, accuracy, usability, and maintainability of developed skills through iterative testing and stakeholder feedback. Technical leadership over the other engineers: review, direction, unblocking. What You Bring Strong hands-on experience using Claude Code in real software-development or business-workflow scenarios. Practical experience creating Claude Code Skills or comparable reusable capabilities for -AI coding agents. Strong understanding of modern AI engineering patterns, including agentic workflows, tool use, prompt engineering, context engineering, and structured instruction design. Proven hands-on software engineering experience and the ability to build, review, test, and maintain production-quality solutions. Ability to transform business requirements and domain knowledge into clear technical designs and executable workflows. Experience evaluating and improving non-deterministic AI solutions. Ability to own the technical shape of the whole capability, not individual skills: standards, shared components, evaluation and release strategy, backwards compatibility. Ability to define and enforce what a well-formed skill looks like, what belongs in shared infrastructure, and what gets rejected in review. Ability to make and justify platform‑level decisions - including choices around agent harnesses, integration architecture, and build‑versus‑adopt strategies, while providing clear technical rationale for foundational decisions that impact the entire platform Nice to have Hands-on experience with Claude Code, and specifically with authoring Claude Code Skills, plugins, or MCP servers. Evaluation tooling for LLM systems (promptfoo, LangSmith, custom harnesses). Consulting or professional services background. Domain exposure to HR technology, compensation & benefits, payroll, or workforce analytics. Experience building internal developer tooling or standing up a platform capability. Public artefacts: open-source agent tooling, published skills or plugins, conference talks, technical writing on agentic engineering. English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Our AI-Enabled Screening Process As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Vancouver, BC Senior Product Marketing Manager, IT & CIO Audiences The Asana Product Marketing team fuels business growth and builds a brand customers love. We create campaigns and content that attract new accounts and inspire current ones to grow with us. We're looking for a Senior Product Marketing Manager to own how Asana shows up to IT and digital transformation leaders. Your primary audiences are CIOs and IT Operations leaders. You'll join the Audience Marketing team, the group responsible for how Asana speaks to the specific people and industries we sell into. These buyers are navigating tool consolidation, AI adoption, governance, and the shift to agentic workflows, and you'll turn deep knowledge of their world into technically credible messaging, content the field uses every day, and campaign themes that bring new logos into the pipeline. You'll own the narrative and the sales plays that the field uses for this persona, partnering across PMM, sales and product. You will report to the Director of Product Marketing, Audience Marketing. What you’ll achieve Own the audience strategy, messaging, and positioning for CIO, digital transformation, and IT Operations personas, aligned to Asana's broader positioning and revenue goals. Become the expert on the trends driving stack change: AI adoption, tool sprawl and consolidation, security and governance and modernization. Map how these buyers decide, including budget ownership, workflows, evaluation criteria, and the roles of technical influencers and executive sponsors. Create technically credible content across the buyer journey, such as POVs, solution narratives, demos, executive briefings, and whitepapers. Act as the subject matter expert across Asana's portfolio, partnering with Core PMMs to connect products to IT priorities, such as AI governance, tool consolidation, and scaling AI agents safely across the enterprise. Equip the sales field for technical conversations with discovery guides, objection handling, competitive positioning, battlecards, and customer proof. Shape new-logo acquisition campaigns in close partnership with Campaigns to generate net-new pipeline. Represent the voice of the customer by bringing IT audience and market feedback into product and positioning decisions. Create sales enablement and ensure the success of sales plays. About you 7+ years of experience in product marketing, audience marketing, or GTM at an enterprise software company. Deep understanding of IT and technical buyers, including how stack, vendor, and budget decisions get made. Experience in ITSM, developer tools, AI and automation platforms, or work management preferred. Ability to explain complex technical and AI concepts clearly to both technical practitioners and executive audiences. Comfortable in fast-moving categories where the narrative changes quarterly, with a point of view on where the market is heading. Field-tested storyteller and writer who turns research into sales-ready content and pipeline-generating campaigns. Data-driven, with experience using qualitative and quantitative research to set strategy and measure impact. Strong presenter, equally at home in a CIO briefing or a sales enablement session, and a sharp editor who holds content to a high quality bar. At Asana, we're committed to building teams that include a v ariety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in th is role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compe nsation package plays a big part in how we recognize you for the impact yo u have on our path to achieving our mission . We believe that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by bi ases, we're c ommitted to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between $135,000 -$160,000 CAD The actual ba se salary wi ll vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more a bout the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Vancouver, BC Senior Product Marketing Manager, Marketing & Operations Audiences The Asana Product Marketing team fuels business growth and builds a brand customers love by creating campaigns and content to attract new accounts and inspire current ones to grow with us . We're looking for a Senior Product Marketing Manager to join our Solutions and Audience Marketing team in Vancouver to own how Asana shows up to Marketing and Operations leaders and practitioners . In this role, you will go deep on these buyers and their daily workflows, turning that knowledge into messaging, field-enablement assets, and net-new acquisition campaigns that expand our pipeline . You will also own the narrative for innovative capabilities like Agentic Work Management, partnering close ly with Core PMM, Product, and Sales teams . This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Own the audience strategy, messaging, and positioning for Marketing and Operations buyers, aligning audience narratives with Asana's broader company positioning and revenue goals . Develop deep subject matter expertise on target buyer personas, uncovering insights into their workflows, team structures, tooling budgets, KPIs, and software evaluation criteria . Create compelling content across the entire buyer journey, ranging from core narratives and web copy to whitepapers, product demos, and customer-facing presentations . Partner cross-functionally with Core PMM and Product teams to translate Agentic Work Management capabilities (including prebuilt AI Teammates and no-code automations) into clear, persona-specific value propositions . Equip sales and customer-facing teams with high-impact enablement tools, such as competitive battlecards, discovery guides, customer proof points, and pitch decks . Collaborate closely with the Campaigns team to architect and execute new-logo acquisition campaigns that generate net-new qualified pipeline . Partner across the organization to identify customer champions and showcase stories highlighting how Marketing and Ops teams drive measurable outcomes with Asana . Champion the voice of the customer by channeling market insights and buyer feedback directly into product roadmap and positioning decisions . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Proven track record in product marketing, audience marketing, or go-to-market strategy within an enterprise SaaS organization . Deep experience developing persona-driven positioning and messaging specifically for marketing or operations decision-makers and practitioners . Working familiarity with the work management, marketing technology, or operations software ecosystem, paired with insight into how leaders evaluate AI for workflow coordination, governance, and business impact . Skilled storyteller and communicator with a demonstrated ability to turn complex research into actionable sales enablement and pipeline-generating campaigns . Analytical mindset with experience combining qualitative feedback and quantitative data to guide strategy, prioritize initiatives, and evaluate performance . Strong collaborative skills, comfortable navigating both multi-quarter strategic planning and day-to-day campaign execution across cross-functional teams . At Asana, we 're committed to building teams that include a variety of backgrou nds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compensation package pl ays a big part in how we recognize you for the impact you have on our path to achieving our mission . We believe that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're commit ted to lookin g at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between $137,000 -$160,000 CAD . The actual base salary will var y based on v arious factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compe nsation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total com pensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Zug, Switzerland PIPECARE Group is looking for an HR Administrator to join our team in Zug, Switzerland . By providing technology and service focused solutions to the international arena of the Oil and Gas industry, PIPECARE Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 25 years. Industry/sector: Oil & Gas / In Line Inspection services. HR Administrator is responsible for leading and overseeing HR administration across the group, ensuring consistent execution of group HR policies and compliance with regional HR policies and procedures. The role manages HR administrative operations, HR systems, training administration, and manages team of Regional HR Business Leads to deliver efficient, standardized, and compliant HR services across multiple locations. We are only considering the candidates who are based in Switzerland. Key Responsibilities: Execute and maintain Group HR policies and standards across multiple regions. Monitor compliance with regional HR policies and employment regulations. Manage and develop a small team of Regional HR Business Leads. Lead the end-to-end recruitment and selection process for senior leadership and C-level positions across the Group, partnering with executive management to identify, attract, and secure top executive talent. Oversee the Group HR ERP system, ensuring data accuracy, process efficiency, and continuous improvement. Coordinate group-wide training administration and compliance learning. Prepare HR reports, dashboards, and management metrics. Support HR audits and ensure compliance with internal policies and legal requirements . Counsel senior team members about HR-related matters. Manage the recruitment, selection and placement process for the assigned territory. Process and approve vacation leave benefits including air ticket and leave salary entitlement. Oversee office facility and administrative requirements. Deliver disciplinary action procedures and recommend appropriate corrective measures as per corporate procedures and in accordance with the local labor legislation. Handle performance management issues and ensure due diligence in conducting performance appraisals of permanent and probation employees on the assigned territory. Manage employee relations concerns. Receive requests in ERP and monitor timely completion of requests. Responsible for the smooth and timely delivery of services relating to HR and administrative management. Responsible for developing new programs and services related to employee management. Keep policies and procedures updated and relevant to the requirements of the company. Maintain updated, secure and confidential HR file system as per corporate standards and aligned with local labour legislation. Authorized to take first level approval for leave applications and air ticket requests. Authorized to take first level approval for cash reimbursements for medical claims and conveyance expenses for the assigned territory. Authorized to raise payment requests in ERP for allowances, accommodation expenses, bonuses, etc. Executes other tasks as might be requested by the management Skills/Experience: Bachelor's degree in Human Resources, Business Administration, or a related discipline. Minimum 5 years of HR experience, including HR operations and administration. Previous leadership experience managing HR teams. Experience working across multiple countries or regions is highly desirable. Strong knowledge of HR ERP systems. Excellent organizational, analytical, and communication skills. Ability to manage multiple priorities while maintaining high standards of accuracy and confidentiality. Fluent in English, knowledge of other language will be a plus.

Location: Budapest, Hungary Location: Hungary (Remote) Status: Full-Time | Permanent | Exempt Status Pay: USD $50,000 - $60,000 Requirement: Bachelor's degree or equivalent practical experience Looking for an impactful and exciting role with a strong focus on product design? Join Productive Playhouse as a Product Manager and help shape the experience across Central and pZero, our company internal linked contributing platform. In this flexible, remote role, you’ll turn user insights and stakeholder needs into thoughtful product solutions while partnering closely with engineering and cross-functional teams. No production frontend coding is required. Key Responsibilities Own the daily product loop for Central and pZero, from user evidence and problem definition through requirements, delivery, rollout, and adoption. Translate user evidence and stakeholder input into clear product briefs and PRDs, including problem, scope, exclusions, success measures, and acceptance criteria. Lead product design for core Central and pZero workflows, including journey mapping, information architecture, prototyping in Figma or an equivalent tool, and usability testing. Partner with the external engineering team throughout delivery, clarifying requirements and keeping work moving through review and release. Bring Product Quality into the work early enough to shape journeys, testability, and release evidence. Own rollout and adoption for shipped features, ensuring intended users can find, understand, and use new functionality. Track product outcomes after release, including adoption, task completion, cycle time, rework, defects, support burden, and the amount of follow-up required from the Director of Product. Own manager-facing and worker-facing product documentation, including onboarding materials, tutorials, how-to guides, and release education. Maintain a practical, shared design foundation with Iron Forge covering navigation, forms, tables, statuses, errors, permissions, accessibility, and responsive behavior. Maintain shared product knowledge in company-approved project and knowledge management systems, including roadmap, decisions, user evidence, product behavior, and release learning. Use approved AI tools and shared skills to improve the speed and quality of research, writing, analysis, prototyping, and documentation. Collect and prioritize input from Operations, Product Quality, Engineering, support signals, and client programs. Bring well-supported recommendations, backed by evidence and tradeoffs, to the Director of Product on major product decisions, while owning routine and reversible decisions independently. Perform other duties and ad-hoc projects as assigned. Qualifications & Skills If selected to move forward in the recruitment process, candidates will be required to complete a pre-assessment. Completion of the required assessment is a prerequisite for advancement to the next stage of the selection process. Bachelor's degree in a relevant field, or equivalent practical experience in product management or a closely related discipline. Demonstrated experience as a product owner or product manager, ideally within AI workforce product; scope of ownership matters more than years of tenure. Hands-on product or UX design experience, ideally including journey mapping, prototyping, and usability testing. Proven ability to turn incomplete or conflicting stakeholder input into a clear, bounded product problem. Experience working closely with engineering teams as a partner, not solely through ticket handoffs. Comfort using data to make or evaluate decisions, including recognizing when available data is insufficient. Experience owning outcomes after release, including adoption, documentation, and iteration based on real usage. Working familiarity with AI tools for research, writing, prototyping, and documentation, with clear human review and accountability. Strong written communication skills, able to produce material that developers, operators, managers, and users can act on directly. Ability to work effectively across distributed teams and manage ambiguity without creating unnecessary noise. Comfortable inspecting product behavior, reading technical material, and working with data; production coding is not required. Cross-functional collaboration and conflict resolution skills, with the decisiveness expected of a single-threaded owner. Work Environment & Physical Requirements Occasional travel may be required for special meetings, training, or team gatherings at the company’s headquarters or other designated locations. Routine use of standard office equipment such as computers, phones, filing cabinets, etc. Strong visual acuity for reviewing detailed documents and data on computer screens. Manual dexterity for operating a computer, including using a keyboard and mouse. Ability to lift and carry office supplies or equipment weighing up to 25 pounds. Clear verbal and written communication skills for collaboration across teams. Capacity to manage tasks that require prolonged periods of focus and concentration. Ability to handle the physical demands of a standard workweek, which may include occasional overtime, nights, weekends, and holidays, if needed. About Us As a global data company, Productive Playhouse “PPH”, is pioneering our approach to language and data services, while incorporating their roots as a production company. Originally creating content to support children's language acquisition, our commitment to excellence, forward-thinking strategies, and world-wide cultural experience has proven key for delivering exceptional service. Originally founded as an educational production company, Productive Playhouse made a mark with our award winning children’s series, which taught fundamental subjects through engaging and effective programming. This early success paved the way for our evolution into a comprehensive data services provider. Since 2011, Productive Playhouse has expanded rapidly to offer an extensive suite of data services. Our current offerings include transcription, translation, linguistic analysis, rating, systems testing, localization, field and studio recording, language skill verification, and specialized data handling with a focus on sensitivity and diversity. Our commitment to innovation means we continually enhance our service portfolio to meet the evolving needs of our clients. At Productive Playhouse, we are proud of our reputation for addressing complex challenges with agility and delivering premium, secure data solutions across diverse environments. Our dynamic team is dedicated to maintaining the highest standards and ensuring exceptional service every time. Disclaimer This job description is intended to describe the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Duties, responsibilities, and scope may change or evolve based on business needs and organizational priorities. Productive Playhouse reserves the right to modify, revise, or reassign responsibilities as necessary, consistent with applicable law. Equal Employment Opportunity Productive Playhouse is an equal opportunity employer. We are committed to fostering a diverse, equitable, and inclusive work environment and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, ancestry, disability, medical condition, genetic information, marital status, military or veteran status, or any other status protected by applicable law. Employment Relationship Employment with Productive Playhouse is at-will where permitted by law, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Where local laws require different terms or conditions, the employment relationship will be governed in accordance with applicable legal requirements. Work Authorization & Verification All offers of employment are contingent upon the candidate’s ability to provide valid documentation verifying identity and authorization to work in the United States or the applicable hiring location. Productive Playhouse participates in E-Verify where required by law. Reasonable Accommodation Productive Playhouse provides reasonable accommodations for qualified individuals with disabilities, in accordance with applicable law. Candidates or employees who require assistance or accommodation to perform the essential functions of the role may contact the Human Resources Department.

Location: Columbia, MD, United States Job Title Senior UX/UI Designer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Columbia, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking an experienced Senior UX/UI Designer, for ADG Creative, an IDS subsidiary, to lead user experience strategy, design execution, and team development across complex systems and products. This role is responsible for driving high-quality user-centered design solutions, establishing UX standards, and mentoring design staff while collaborating with cross-functional teams. Key Duties • Lead, manage, and mentor UX designers, providing direction and supporting professional growth • Define and communicate UX strategy and vision across a portfolio • Develop and maintain design systems to ensure consistency, scalability, and efficiency • Facilitate design workshops and sprints to enhance collaboration across teams • Conduct user research and develop journey maps, wireframes, and high-fidelity prototypes • Advocate for end-users by identifying workflows, pain points, and needs • Define and refine UX processes, integrating Human-Centered Design within Agile development • Perform other duties as assigned Requirements • Master’s degree in a related field - TS/SCI W Poly • OR Bachelor’s degree with 12 years of experience • OR Associate’s degree or High School Diploma with 16 years of experience • Minimum 10 years of experience (aligned to the education substitution structure above) • Portfolio required Compensation $125,000k - $130,000k Benefits

Location: Vancouver, BC Head of Web Strategy and Services We’re looking for a Head of Web Strategy & Services to join our team in Vancouver and own asana.com as our front door and as a measurable driver of web conversion and sales pipeline . The Asana Marketing team is responsible for fueling business growth and building a brand customers love, partnering across the business to create a holistic digital strategy that ensures our website looks, performs, and drives measurable results in telling Asana’s story to the world . In this role, you will set the strategy for how key personas discover, understand, and navigate the site, while leading web strategy, localization, web platform (CMS), and the engineering capacity that brings it to life . This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you d o and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Set a customer-journey-led vision for asana.com that makes our multi-product portfolio clear for every key persona, from new visitors to trial users and enterprise customers . Own the website's contribution to web conversion and pipeline, establishing a robust measurement framework and analytics practice that makes performance visible across the business . Build and prioritize the global web roadmap by synthesizing user research, analytics, experimentation, and cross-functional stakeholder input . Establish operational rigor across planning, intake, prioritization, and release cycles, ensuring the website ships quickly while maintaining high quality and governance . Drive an AI-first web operations model, integrating AI tools to accelerate content workflows, QA, localization, and data analysis . Oversee the web platform (CMS) architecture and roadmap, optimizing site performance, reliability, Core Web Vitals, and operational costs . Lead and support the web engineering and localization teams, setting technical delivery standards and ensuring international visitors receive an exceptional localized experience . Partner cross-functionally with Product Marketing, Demand Generation, SEO, Paid Media, Data Science, and Brand Design to align business priorities with customer needs . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Proven track record leading web or digital strategy for complex, multi-product B2B SaaS websites, with measurable impact on conversion rates and sales pipeline . People leadership experience managing multi-disciplinary or technical teams, including web platform engineers, developers, and agency partners . Strong fluency across modern web architecture, CMS platforms, site performance, Core Web Vitals, and technical delivery workflows . Deep grounding in user journeys, persona-based messaging, and customer research, using experimentation and web analytics to guide priorities . Demonstrated experience scaling international web experiences and localization strategies across multiple global regions . Collaborative leadership style with the ability to influence cross-functional leade rs, balance competing organizational inputs, and advocate f or user experience . At Asana, we're committed to buil ding teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . W hat we’ll offer Our comp rehensive compensation package plays a big part in how we reco gnize you fo r the impact you have on our path to achieving our mission . We believe that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impact ed by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between $210,000 -$250,000 CAD . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.