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Location: New York City, NY | Seattle, WA; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Responsibilities: Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a growth or product area at significant scale Have 5+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling Experience with targeting, personalization, or uplift models in production Background at consumption-based, multi-product companies serving both consumers and enterprises Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Role We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring. Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes). What You’ll Do Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows. Help shape user-facing tools to make the platform approachable for all skill levels. Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane. Contribute to platform reliability, testing, observability, and operational excellence. Qualifications Solid engineering background, ideally in platform, data, or ML-adjacent teams. Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink). Empathy for users and interest in building abstractions that remove friction. Curious and collaborative mindset — eager to learn from others and contribute broadly. Experience with ML tooling, or data pipelines is a plus. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion. Pay Range: €7.102 — €8.878 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Cumberland Systematic is a multi-asset trading team focused on mid and high-frequency fully systematic strategies in the delta one space. We trade 24/7 globally with our team located primarily in Chicago and London. We are looking for a Software Engineer to join our team. You will work with other software engineers to design and develop the full stack needed to enable a global trading operation with high availability requirements. You will be expected to design and develop integrations with data vendors, blockchain infrastructure, data management solutions, and libraries for managing and analyzing data. The team’s existing systems are written in Python and C++. Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and engineers are expected to gain an intimate understanding of the business and work directly with quantitative researchers on a daily basis. Responsibilities: Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research Accelerate the research lifecycle from data engineering to feature generation and analysis Integrate with diverse data sources such as blockchains, exchanges, and data vendors Test at the unit, functional, and integration levels Work within in a small team as well as independently with a strong user focus Provide on-call support as needed To qualify for this role, you must have: Python experience gained through professional experience Built complex systems in modern Python that are maintainable and safely refactorable Hands-on experience managing large, evolving timeseries data A working knowledge of type safety and type systems Strong verbal and written communication skills Strong internal motivation and a continual desire to learn Bonus points if you have: Contributions to open-source crypto projects Production experience running full or archive blockchain nodes at scale Collaborated with quantitative researchers A working knowledge of high-level machine learning concepts and lifecycle Experience with functional programming and immutable design principles Practical knowledge of major blockchain types and clients The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/Options Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed. Qualifications: A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175,000 $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . *This is a remote role and can be performed anywhere in Brazil/Colombia* The Role We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift. Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here. This role is designed for candidates with experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas: Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows) RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses) Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video) STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis) Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data) What You'll Do 1) Own data and environment quality from an AI researcher perspective Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics. Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work. Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude). Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts. Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections. 2) Design and build datasets and RL environments for your capability area(s) Contribute to or lead the design of: Task suites (single-step and long-horizon workflows) Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators) Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics) Depending on your mapped capability area(s), you may focus on: Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes). Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks). STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity). Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models. 3) Build robust validation, denoising, and synthetic data systems Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review. Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls. Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts. Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage. 4) Use evaluations and training runs to prove impact Design and run evals that reflect the client's intended usage. Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift. When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways. 5) Collaborate effectively with large production teams without being ops-heavy Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals. You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery. You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL. Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners. Who We're Looking For 4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems). Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure. Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights. Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned. Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes. Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus. Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria. Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity. Strong pluses RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design). Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis). Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional). STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness. Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces). Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows. Why Turing Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks. Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar. Talent-dense team, where you'll find rapid iteration and an exceptional learning curve. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: London; New York; Edinburgh; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Member of Technical Staff in the Safety for Agents team, you will make a meaningful impact on the development of better, fairer, more trustworthy, and more secure Large Language Models (LLMs). Your primary focus will be on data generation, post-training algorithms, and evaluation methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI, experimental design, and data generation and management. It will require curiosity to tackle totally new scientific problems, engineering skills to implement the pieces we need to test solutions to these, and a desire to dive into messy data and results. You will be on a small team with a lot of autonomy and decision-making power, responsible for making the next generation of LLMs better for society as a whole. Please Note: The existing team work in offices in London, Edinburgh, Paris, Toronto, and New York, but we also embrace being remote-friendly! For this role you need to have ~50% working day overlap with UK/EU timezone (e.g. US East is fine) but there are otherwise no restrictions on where you can be located for this role. Key responsibilities: - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Extremely strong software engineering skills. - Strong expertise in designing and conducting data collection tasks, including working with human annotators. - Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models. - Hands-on experience training large language models (LLMs) on distributed training infrastructures. - Familiarity with evaluating and improving the generalizability and robustness of ML systems. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). - Excellent communication skills to collaborate effectively with cross-functional teams and present findings. - One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Salzburg, Austria Workplace: on-site Are you passionate about providing exceptional service to guests? Do you have a  positive attitude and a hands-on approach to customer service and want to work in a dynamic team? If so, we want you to join our team at Schloss Leopoldskron in Salzburg, Austria as a Waiter – Ad Hoc Help! WHO WE ARE Nestled by a small, idyllic lake and surrounded by 17 acres of stunning grounds, Schloss Leopoldskron is a historic hideaway just minutes from Salzburg’s Old Town. Built in 1736, our exclusive location offers 55 rooms, 12 palace suites, and two townhouses. With breathtaking views of the Alps and Hohensalzburg Fortress, we provide our guests with truly unforgettable experiences. Schloss Leopoldskron is more than just a hotel—it’s also the home of Salzburg Global , an international non-profit organization whose mission is to overcome barriers and open up a world of better possibilities. We seek to be an exemplary international institution in terms of equity and environmental sustainability. We strongly encourage candidates from all backgrounds to apply and join us in our work. WHAT WE OFFER We are proud to offer our employees a range of benefits, including: Flexible working hours to support a healthy work-life balance A collaborative and vibrant work environment Opportunities for personal growth and professional development Complimentary meals during your shifts Free on-site parking Hourly wage: 18 EUR At Schloss Leopoldskron , we believe that our team is our most valuable asset. We are committed to creating a supportive and inclusive work environment that fosters personal and professional growth. As WAITER – Ad Hoc HELP , you will have the opportunity to work alongside a diverse and dynamic team, where your contributions will be valued and celebrated. WHAT YOU'LL BE DOING Deliver outstanding service during breakfast, seminars, and events (no à-la-carte) Provide a welcoming and friendly experience for our international guests Ensure smooth operations and maintain detailed documentation of daily activities Take ownership of tasks and complete them reliably and independently Adhere to HACCP guidelines WHO WE’RE LOOKING FOR Enthusiastic, guest-oriented mindset with a passion for service excellence Strong sense of responsibility, punctuality, and reliability Initiative, dedication, and a team-oriented approach German or English skills (German skills preferred) At Schloss Leopoldskron , we are committed to providing a warm and inclusive environment for all our hotel guests, visitors, and program participants. We are an Equal Opportunity Employer and do not discriminate against applicants or employees. Sustainable business practices are our highest priority in all areas. We encourage creative, equitable, and sustainable change and develop environmentally conscious and socially responsible practices at all levels. We believe that every team member plays a critical role in our journey toward sustainability.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Amsterdam, Netherlands or London, United Kingdom About the Role We are seeking a highly accomplished and strategic Account Executive to join our Central Eastern Europe (CEE) Digital Natives Sales team. In this advanced role, you will be pivotal in driving significant growth by leading comprehensive sales cycles within a portfolio of assigned enterprise-level clients, and strategically acquiring new logos. The ideal candidate possesses a deep blend of advanced sales acumen and sophisticated technical understanding, enabling them to lead engagements at all levels, from the C-suite to technical leaders (e.g., Head of/VP of Networking or Security). As an Account Executive, you will consistently demonstrate advanced proficiency in all sales activities, ensuring highly accurate forecasting, proactive and strategic pipeline management, and consistently exceeding attainment targets. You will be a subject matter expert, speaking fluently about Cloudflare's products, features, benefits, and use cases across diverse customer segments. This role demands the ability to deeply understand complex customer IT Architectures, match them with relevant Cloudflare Reference Architectures, and orchestrate successful, large-scale platform sales. You will be a key driver of digital transformation for our customers, understanding their broader market trends and how Cloudflare uniquely enables their strategic initiatives. What You'll Do Strategic Revenue Generation: Architect and execute advanced territory and account plans to consistently exceed multi-million dollar sales targets and annual quotas, with a strong focus on new business acquisition and expansion within complex enterprise environments. Expert Pipeline & Forecasting: Lead proactive and strategic pipeline management efforts, demonstrating a sophisticated understanding of sales cycles and customer buying processes. Deliver highly accurate forecasts, providing clear insights and strategic guidance to sales leadership. Deep Customer & IT Architecture Understanding: Develop a profound understanding of customers' IT architectures, including applications and third-party technologies. Architect and align Cloudflare Reference Architectures to customer environments, driving comprehensive platform solutions. Multi-Engagement Leadership: Orchestrate and manage multiple complex customer engagements simultaneously across various business units within an organization. Strategically connect disparate needs to strengthen Cloudflare's platform sale, actively involving and influencing technical C-level minus one executives. Virtual Team Leadership: Set clear direction and lead a virtual team of in-GEO specialists, Product Managers, Deal Desk, and Legal to collaboratively manage and close complex customer opportunities. Proactively identify and navigate through situations to address colleague and customer needs, escalating as appropriate to drive urgency and efficient delivery. Digital Transformation Authority: Act as an authority on digital transformation, understanding key drivers (e.g., new offering development, enhanced customer capabilities) and the broader market trends influencing these decisions. Position Cloudflare as a critical enabler of these transformations. Compelling Value Creation: Articulate highly compelling, strategic value propositions for Cloudflare's services, directly linking them to customer business outcomes and strategic objectives. Lead with a strong focus on the "why," communicating the whole picture to both internal and external stakeholders. Advanced Negotiation & Closure: Expertly lead and navigate complex contract negotiations, driving win-win scenarios for all parties. Demonstrate advanced closing skills across new business and expansion opportunities. Trusted Advisor & Coach: Build long-term, executive-level strategic relationships, ensuring deep customer adoption, retention, and expansion. Consistently provide clear, direct, and constructive feedback to team members, coaching them to improve communication, learn from mistakes, and enhance the quality of work. Share learnings proactively to build trust across the organization. Organizational Impact & Leadership: Consistently focus on the long-term needs of the team and the business, understanding how decisions impact other teams and openly sharing these insights. Leverage company-wide learnings to improve department and team execution. Serve as a leader within Cloudflare, making significant contributions while elevating the work of others by bringing diverse perspectives and strategic long-term thinking. Examples of Desirable Skills, Knowledge, and Experience Fluency in English and one of the languages from the CEE (written and spoken). 6+ years of advanced experience selling complex technology solutions into Digital Natives companies across Central CEE , with a significant track record of consistently exceeding multi-million dollar quota targets. Deep expertise and fluency in Cloud Networking, Security, and Edge Computing technologies , with an exceptional ability to articulate features, benefits, and use cases across diverse customer segments (e.g., SMBs, enterprise, vertical markets). Proven ability to deeply understand complex customer IT architectures and effectively map them to Cloudflare Reference Architectures for successful platform sales. Demonstrated success leading and influencing virtual cross-functional teams (e.g., Solution Engineers, Product Managers, Legal) to drive complex deals to closure. Exceptional strategic communication and presentation skills , with a focus on articulating the "why" and conveying the whole picture to executive leadership and technical decision-makers (C-level minus one). Advanced negotiation skills with a track record of closing large, complex, six-figure and multi-million dollar deals. Expert-level sales acumen: unparalleled proficiency in discovery, positioning, competitive selling, negotiation, closing, and expansion strategies within enterprise accounts. Authority on digital transformation trends and their impact on enterprise customers, with the ability to position Cloudflare as a key enabler of strategic business outcomes. Strong coaching and mentorship abilities , with a passion for helping colleagues grow and improve. Highly self-motivated, entrepreneurial, and resilient , thriving in a fast-paced, high-growth environment with a consistent focus on long-term goals. Proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC framework application). Bachelor's degree required , with a technical background (e.g., engineering, computer science, MIS) highly preferred. Ability to travel as required to engage with key customers and internal teams. Compensation For Netherlands based hires: Estimated annual salary is between €169,000 - €232,000. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. 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: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity The Chinese Growth Center drives growth across Chinese-speaking markets. This role sits close to the center of decision-making, supporting the Head of CGC directly on high-priority cross-functional initiatives. The immediate focus is the practical application of AI in business operations — identifying where AI can drive real productivity gains, and making it actually happen. Beyond the AI workstream, this role will evolve to cover other strategic initiatives over time. This is a role for someone who takes ownership end-to-end. You will be expected to get your hands dirty, move fast, and deliver — not just coordinate. What You’ll Be Doing Drive the full lifecycle of AI initiatives hands-on — from scoping and tool research to solution design, testing, and rollout Work across teams to embed AI tools into real business workflows and track measurable outcomes Identify blockers early and solve them proactively, without waiting to be directed Stay current on emerging AI tools and synthesize findings into repeatable best practices for the team Own progress tracking and delivery management for key initiatives, keeping milestones on track and quality high Build lightweight dashboards and reporting to keep the Head of CGC informed and decisions moving Pick up new initiatives quickly, build context fast, and deliver in ambiguous or fast-changing situations Surface collaboration friction across teams and drive alignment where needed What We Look For In You Bachelor's degree or above Deep AI User, with practical experience using AI tools (e.g. ChatGPT, Claude, Cursor, Midjourney) — able to speak to specific use cases and outcomes Strong ownership and hands-on ability to work steadily under pressure, managing multiple workstreams in parallel and still deliver quality Clear communicator who is able to collaborate and convey work process well to various stakeholders Proficiency in English as a working language, and fluent in Mandarin in order to service Mandarin-speaking clients (as required in the role) Nice to Haves Experience in internet, content, e-commerce, or growth-related roles Background in cross-functional project management or initiative delivery Hands-on with Prompt Engineering or workflow automation tools (Make, Zapier, n8n) Familiarity with Chinese-speaking market dynamics and user behavior Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; 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 Team We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system. About the Role We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments. You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span: Identity trust & risk modeling — fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals. Cluster & relationship intelligence — graph and clustering methods to identify account farms, mass registration, and coordinated attacks. Behavioral risk modeling — behavioral features and sequence models for account takeover and abnormal-session detection. Biometric & multimodal signals — face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer. AI agents — applying agentic AI to scale investigation, detection, and operational defense. What You'll Be Doing Build identity trust & risk models: Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning. Uncover organized fraud with graph & clustering: Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse. Develop behavioral features & sequence models: Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions. Leverage biometric & multimodal signals: Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself. Drive execution & collaboration: Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling. Advance applied R&D: Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses. Raise the technical bar: Contribute to design reviews, share applied-AI best practices, and mentor junior engineers. What We Look For 5+ years of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production. Graph & clustering expertise: Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection. Behavioral modeling: Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines. Deep AI/ML expertise: Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems. Strong technical & coding skills: Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency. Adversarial mindset: Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks. Collaboration: Strong communication skills, with experience working across engineering, product, and risk teams. Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field. Preferred Qualifications Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security. Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics. Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features. Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake). Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models. Experience with LLMs and AI agents. Experience working in fast-paced technology companies or security-critical environments. Research publications, patents, or open-source contributions in relevant AI fields. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Miami, United States; United States; New York, United States; Boston, United States; Charleston, United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. We only admit the top candidates into our talent pool, ensuring they are matched with exclusive, long-term opportunities. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our talent pool. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. About the Role We are looking for a motivated and results-driven Sales Development Representative (SDR) to join our growing sales team. In this role, you will be responsible for generating new business opportunities, engaging with potential clients, and building a strong sales pipeline for the Account Executive team. If you are energetic, persuasive, and thrive in a fast-paced environment, this role is for you. Key Responsibilities Identify and prospect potential clients through outbound channels (cold calls, emails, LinkedIn) Qualify inbound and outbound leads to determine fit and readiness Schedule meetings and demos for Account Executives Maintain accurate records of all activities in the CRM Collaborate with marketing and sales teams to optimize outreach strategies Consistently meet or exceed monthly quotas for meetings and pipeline generation Requirements Must be based in the East Coast (USA) 3+ years of experience in a Sales Development, Business Development, or similar role Proven track record of meeting or exceeding targets Strong communication and interpersonal skills Experience with CRM tools (e.g., Salesforce, HubSpot, or similar) Ability to handle objections and build rapport quickly Self-motivated with a strong work ethic Benefits Competitive base salary + performance-based commission Opportunity to work with global clients Career growth and progression into Account Executive roles Supportive and collaborative team environment

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.   WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally. RESPONSIBILITIES: - Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations. - Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency. - Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions. - Contribute to the team’s codebase with high-quality, testable, and well-documented code. - Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems. - Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement. - Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 2+ years of experience in backend software development with a strong foundation in computer science principles - Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar). - Experience building and maintaining APIs, integrations, and distributed systems. - Comfortable working with relational databases, data modeling, and query optimization. - Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - Excellent communication skills and ability to work cross-functionally with technical and non-technical teams - Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment - A growth mindset and eagerness to learn from feedback and new challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Annapolis, MD Position Objective: Under general supervision, the Clinical Staff Pharmacist facilitates the safe, high quality, effective and economic use of drugs. This responsibility includes the accurate preparation and dispensing of pharmaceuticals according to established departmental policies and procedures. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Partakes in a rotating staffing schedule, including day and evening shifts, weekend rotations, holidays, and overnight coverage based on departmental needs. Verifies the accuracy of order entry by authorized prescribers in computerized patient medication profiles. Reviews written medication orders or prescriptions to determine appropriate ingredients, strength, and dosage. Reviews medication orders for: potential allergies, drug/drug and food/drug interactions, route of administration, appropriate dose and potential for adverse drug reactions with other medications ordered. Contacts the prescriber, as appropriate, to clarify orders and/or make recommendations concerning alternate therapies. Provides drug information to patients, physicians, nurses, and other clinical staff where appropriate and upon request. Supervises the daily operational duties in the dispensing area to which assigned, including assisting and assigning, closely monitoring and reviewing the work of Pharmacy Technicians, to assure accurate and timely delivery of medications. Participates in patient care rounds and unit based services, which may include: medication reconciliation, promoting medication efficacy/safety/cost improvement initiatives, participation in unit process improvement activities, and patient education & follow-up as appropriate. Participates in improvements in interdepartmental policies and procedures which support the Pharmacy Department and Hospitals strategic goals. Maintains accurate records as required by departmental policies and procedures and/or federal and state board regulations. Completes all core competencies and documents clinical activities accurately and according to policies and procedures. Supports the Investigational Drug Service in the daily operations of the department. Educates and supervises Pharmacy Technician in the preparation of intravenous admixture solutions and chemotherapeutic agents, using aseptic technique. Completes formal in-service, formulary addition/deletion, assimilation of evidence-based protocol/order-set, medication safety related activities and/or targeted medication expense reductions. Educational/Experience Requirements: The minimum level of education and experience for this position includes: Doctor of Pharmacy Degree or Bachelor of Science in Pharmacy with commensurate experience required. At least 1 year of experience in an inpatient setting required. PGY-1 residency or Board Certification preferred. Required License/Certifications: Current Maryland State License Working Conditions, Equipment, Physical Demands: Light work. Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg controls requires exertion of forces greater than that for sedentary work and the worker sits most of the time, the job is rated for light work. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Pay Range $65 — $75 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Lanham, MD Position Objective: Provides respiratory therapy modalities included in the scope of practice to patients according to the department standards. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Administers medical gas therapy in accordance with all department procedures. Evaluates appropriateness and effectiveness of therapies for continuation or discontinuation according to department standards. Prepares and collaborates with advanced practitioners and clinical specialist to implement respiratory care plan. Reviews charts per department policy, i.e. orders, lab values, chest x-rays, etc and document care provided accurately and consistently according to department standards. Operates and maintains equipment in a safe and sanitary condition, following department guidelines, returning to department upon patient discharge. Observes patient during therapies for adverse reactions and acts in accordance with department policy when problems arise. Monitor response to therapy. Educational/Experience Requirements: Associate’s Degree from an accredited college Required License/Certifications: Registered Respiratory Therapist as credentialed by the National Board for Respiratory Care. State of Maryland License of eligibility as a Respiratory Care Practitioner. Current American Heart Association Healthcare Provider BLS CPR certification. Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - Medium Lifting The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $35 — $48 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Lanham, MD Position Objective: Provides respiratory therapy modalities included in the scope of practice to patients according to the department standards. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Administers medical gas therapy in accordance with all department procedures. Evaluates appropriateness and effectiveness of therapies for continuation or discontinuation according to department standards. Prepares and collaborates with advanced practitioners and clinical specialist to implement respiratory care plan. Reviews charts per department policy, i.e. orders, lab values, chest x-rays, etc and document care provided accurately and consistently according to department standards. Operates and maintains equipment in a safe and sanitary condition, following department guidelines, returning to department upon patient discharge. Observes patient during therapies for adverse reactions and acts in accordance with department policy when problems arise. Monitor response to therapy. Educational/Experience Requirements: Associate’s Degree from an accredited college Required License/Certifications: Registered Respiratory Therapist as credentialed by the National Board for Respiratory Care. State of Maryland License of eligibility as a Respiratory Care Practitioner. Current American Heart Association Healthcare Provider BLS CPR certification. Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - Medium Lifting The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $35 — $48 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Lanham, MD Position Objective: Provides respiratory therapy modalities included in the scope of practice to patients according to the department standards. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Administers medical gas therapy in accordance with all department procedures. Evaluates appropriateness and effectiveness of therapies for continuation or discontinuation according to department standards. Prepares and collaborates with advanced practitioners and clinical specialist to implement respiratory care plan. Reviews charts per department policy, i.e. orders, lab values, chest x-rays, etc and document care provided accurately and consistently according to department standards. Operates and maintains equipment in a safe and sanitary condition, following department guidelines, returning to department upon patient discharge. Observes patient during therapies for adverse reactions and acts in accordance with department policy when problems arise. Monitor response to therapy. Educational/Experience Requirements: Associate’s Degree from an accredited college Required License/Certifications: Registered Respiratory Therapist as credentialed by the National Board for Respiratory Care. State of Maryland License of eligibility as a Respiratory Care Practitioner. Current American Heart Association Healthcare Provider BLS CPR certification. Working Conditions, Equipment, Physical Demands: There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Physical Demands - Medium Lifting The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position.  This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $35 — $48 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Tel Aviv, HQ Workplace: OnSite ROLE OVERVIEW As a Data Lead at Wonderful, you'll help shape how we measure, understand and scale our product and business. You'll work across product, operations, and business data - analyzing complex datasets, defining KPIs and building dashboards to drive clear, data-informed decisions. You'll own data processes end-to-end, from raw data and modeling to insights and impact. WHAT YOU'LL DO - Analyze product usage, customer interaction and business data. - Define and track KPIs across product, operations and business domains. - Build dashboards and monitoring tools. - Develop and maintain ETL pipelines and data models (Snowflake, dbt). - Work closely with Product, Operations (GTM), Business and Engineering. WHAT WE'RE LOOKING FOR - 3+ years of experience as Data Analyst. - Strong proficiency in SQL - must. - Strong business sense and ability to translate data into insights. - Ability to work end-to-end, from raw data to business impact. - Experience building ETL pipelines (Snowflake, dbt) - advantage. - Experience building dashboards using BI tools (Looker / Tableau / Omni) - advantage. NICE TO HAVE - Experience with product analytics or customer interaction data. - Experience in a fast-growing startup. - Familiarity with AI-driven products. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Denver, US Washington DC, US Applications will be accepted until November 23, 2026. About the Role We are seeking a DCIM Administrator to build and run our Data Center Infrastructure Management program.  This technical role is part of the Infrastructure Operations organization, which is responsible for building, scaling, and running one of the world's largest and most important cloud networks. Cloudflare’s global network spans more than 330 cities, and is a key strategic asset that supports all of our customers and products. You are the operational backbone and workflow gatekeeper for all physical changes across our global network. Your meticulous work ensures every Move, Add, and Change (MAC) is executed only through a validated Nlyte work order, driving the highest level of data accuracy essential for supporting our edge and core security and performance services. We operate in a fast-paced environment where you will be expected to drive both project delivery and operational excellence through continuous improvement, standardization, and optimization. This isn't just about day to day operations; it's about building a scalable, performant, secure, and resilient infrastructure that plays a critical role in us building a better Internet. Responsibilities Assist with the successful deployment of CAPEX investments, ensuring our infrastructure scales ahead of demand. Collaborate with cross-functional partners including Project Managers, Capacity Planning, Finance, and Security to deliver on ambitious group initiatives. Manage key third-party vendors and contractors, holding them accountable for performance and service level agreements (SLAs). Be a role model and champion for continuous improvement, standardization, optimization, and automation. Workflow Execution: Administer and manage the Nlyte Workflow/Work Order processes, including; issuing, tracking, and closing all physical MAC tickets. Enforce strict adherence to the defined process by global technicians. Data Integrity Champion: Perform daily data entry, manage automated asset discovery tools, and reconcile physical inventory against Nlyte records to guarantee 99.5%+ accuracy. Asset Lifecycle Management (ALM): Own the entire asset data chain from receiving (scanning/logging) through deployment and decommissioning. Model Library Management: Maintain the Nlyte Materials Catalog, ensuring all new hardware models have precise, validated resource profiles (power, cooling, rack elevations) to enable Analyst validation. Field Training & Support: Provide hands-on training and support for global technicians on using the Nlyte mobile app, scanning tools, and required workflow procedures. Desirable Skills, Knowledge, and Experience You are a DCIM expert, highly organized and efficient operator.   You have a track record of driving operational excellence through establishing and enforcing standard operating procedures and continuous improvement efforts. You are passionate about asset management and obsessed over data accuracy.  This role is for hands-on asset and infrastructure administrators who can rapidly learn, adapt, and apply learnings to enable fast and sustainable growth. You thrive in a hyper-growth environment and have an outstanding ability to get things done under pressure while maintaining optimism and grit. You are Transparent; you ensure every physical action is accurately logged and instantly visible to stakeholders globally.  You are Principled; you have an uncompromising commitment to data integrity and refuse to bypass established workflows. Education: Bachelor's degree in Information Technology, Logistics, Manufacturing, Business Administration, or a related field, or equivalent practical experience. Experience: 4+ years of hands-on experience in IT Asset Management or DCIM administration (Nlyte experience is a strong advantage). Direct experience administering a workflow or change management system, with a focus on discipline and process enforcement in a multi-site environment. Experience with change management in ERP and asset management transformation efforts. Experience operating in a high-velocity environment involving geographic dispersed Data Centers across various time zones. Technical Competencies: High proficiency in physical inventory control, including barcode/RFID systems. Deep familiarity with data center infrastructure, including server hardware, network hardware, rack elevation/density, and power distribution Knowledge of structured cabling, and cabling standards. Advanced proficiency in Excel (VLOOKUP, Pivot Tables) or basic SQL. Expert in workflow Management (MAC Process): Proven experience managing a high-volume Move, Add, Change queue. Soft Skills: Exceptional attention to detail and strong organizational skills. Excellent problem-solving and root cause analysis capabilities. Meticulous Attention to Detail: A "Zero-Defect" mindset regarding data entry. Strong verbal and written communication skills. Documentation & SOP Creation: Experience writing Standard Operating Procedures (SOPs) for remote hands technicians. Remote Training Ability: Experience training or guiding remote teams. Compensation Compensation may be adjusted depending on work location. For Colorado based hires: Estimated annual salary of $98,000 - $135,000 For Remote - Washington and Washington (Kirkland) based hires: Estimated annual salary of $120,000 - $165,000 For Washington D.C. based hires: Estimated annual salary of $120,000 - $165,000 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.