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Location: United States, Austin, TX Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Center Strategy & Commercial Management Specialist Sony Interactive Entertainment is seeking a Data Center Strategy & Commercial Management Specialist to support the ongoing evolution of SIE’s global colocation footprint. This role sits within the Technical Operations department of the Global Developer Future Technology Group (GDFT), the organization responsible for building and operating the data center infrastructure that underpins PlayStation’s Cloud Gaming, Broadcast, and Developer Platform services worldwide. Our colocation environments host critical workloads ranging from real-time game streaming to content distribution, developer build systems, and testing environments. The successful candidate will lead the strategic planning, commercial management, and capacity management of SIE’s global colocation estate, ensuring infrastructure availability aligns with business growth, resilience, performance, and cost objectives. This role is responsible for translating business growth forecasts into practical colocation capacity, power, and infrastructure strategies across existing and future sites. The role combines commercial leadership, provider management, infrastructure planning, and technical coordination across a complex global environment. This is not a facilities operations role; however, the successful candidate must possess strong technical literacy in colocation infrastructure, including mechanical and electrical resiliency models, power and cooling constraints, and operational dependencies, in order to support informed commercial, contractual, and strategic decisions. Responsibilities: Colocation Strategy & Capacity Planning – Translate business growth forecasts and platform requirements into short-, mid-, and long-term colocation capacity strategies across existing and future sites, accounting for scalability, resiliency, performance, and regional demand. Commercial Management – Own the commercial strategy and lifecycle of SIE’s global colocation footprint, including renewals, expansions, exits, commercial obligations, and strategic capacity planning across multiple providers and regions. Commercial Negotiations – Lead commercial negotiations with colocation providers for renewals, expansions, new capacity acquisitions, and related commercial agreements in partnership with internal legal and procurement teams. Provider Relationship Management – Develop and manage strategic relationships with colocation providers, ensuring effective oversight of contractual obligations, service delivery, commercial commitments, escalations, and operational performance. Infrastructure Planning Coordination – Partner with operations, engineering, product, and business intelligence teams to translate deployment forecasts into actionable power, space, and capacity requirements across the global estate. Colocation Sourcing & Market Analysis – Support colocation sourcing activities including market assessments, provider evaluations, regional capacity analysis, commercial benchmarking, and expansion planning. Vendor & Contract Oversight – Manage contract governance, service-level oversight, commercial risk, and compliance requirements across a diverse global provider ecosystem. Commercial Analysis – Support sourcing and capacity decisions through commercial analysis, provider benchmarking, market comparisons, and evaluation of colocation pricing, terms, and service offerings. Lifecycle Governance – Maintain oversight of key commercial and operational milestones, including lease events, capacity commitments, renewals, expansions, migrations, and decommissioning activities. Performance & KPI Management – Define, monitor, and report on operational and commercial KPIs to drive accountability, transparency, and continuous improvement across the colocation estate. Executive Reporting & Governance – Develop reporting and governance frameworks that provide clear visibility into capacity, commercial exposure, provider performance, risk, and strategic opportunities. Market & Industry Awareness – Maintain awareness of colocation market trends, regional supply dynamics, pricing movements, provider capabilities, and industry developments to support strategic decision-making. Regulatory & Sustainability Alignment – Ensure infrastructure planning and commercial decisions align with environmental, sustainability, regulatory, and compliance requirements across multiple global regions. Decision-Making & Strategic Recommendations – Operate effectively in environments with evolving or incomplete business forecasts, providing infrastructure and commercial recommendations that balance growth, risk, timing, and cost considerations. What We’re Looking For: 7+ years of experience in colocation strategy, data center commercial management, infrastructure sourcing, capacity planning, or related disciplines within large-scale global environments. Demonstrated experience leading commercial negotiations with colocation providers, including renewals, capacity expansions, pricing negotiations, SLAs, and contractual commitments. Strong understanding of colocation commercial constructs, including leases, service orders, SLAs, power commitments, contractual obligations, and provider governance models. Experience managing colocation provider relationships across multiple regions, with understanding of market dynamics, supplier capabilities, and commercial models. Strong understanding of colocation infrastructure, including power, cooling, resiliency, and capacity constraints, with the ability to connect technical considerations to commercial and business outcomes. Experience translating business or deployment forecasts into actionable infrastructure capacity, power, and space strategies. Experience supporting colocation sourcing activities including provider evaluations, market analysis, commercial assessments, expansion planning, and capacity negotiations. Experience evaluating colocation commercial proposals, pricing structures, service offerings, and contractual terms to support infrastructure and capacity decision-making. Strong analytical and organizational skills, with the ability to manage complex datasets, contractual obligations, lifecycle milestones, and regional planning assumptions across a global footprint. Experience developing governance processes, KPI frameworks, and executive-level reporting for infrastructure, commercial, or capacity management functions. Excellent communication and stakeholder management skills, with the ability to influence technical, operational, financial, legal, procurement, and business stakeholders across multiple levels of the organization. Self-motivated, detail-oriented, and comfortable operating within a fast-paced, globally distributed environment. Ability to operate effectively at both strategic and tactical levels, balancing long-term infrastructure strategy with day-to-day commercial and operational priorities. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $184,500 — $276,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: £265,000 — £375,000 GBP 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. 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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. 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: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio. You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale. What You'll Do Own the research intake and quant roadmap. Field research questions from product, design, GTM and leadership. Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets. Answer the big questions before launch. Use MaxDiff and conjoint to show which features, benefits and messages actually drive decisions. Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews. Build measurement and segments that last. Adapt or develop validated scales for trust, perceived security and comprehension, track them across products and markets, and turn our user profiles into statistically validated, sized segments. Get data you can trust, and connect it to behavior. Design sampling, translation and fraud controls for a global, crypto-native audience, and partner with data science to link survey data with product data. Evaluate AI-assisted experiences. Design human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is. Be leadership's partner for evidence. Present findings as recommendations with effect sizes, confidence and what would change the call. Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study. Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves. Requirements 7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation. Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending). A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own priorities, and drive studies to a decision. Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar. Hands-on experience designing and analyzing MaxDiff and/or conjoint studies. Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design. Fluency in R or Python for analysis and visualization. You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor. A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers. Nice to Have Experience with crypto, onchain or tokenized-asset products. A master’s or PhD in a quantitative field such as statistics, survey methodology, behavioral economics, or marketing science. Depth in advanced methods, such as hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, or SQL and multilevel modeling. Experience evaluating AI or LLM-powered products, such as human evaluation design, rubrics or rater reliability. Research across markets in LATAM, APAC or EMEA, including translating survey instruments. Responsible AI-native research workflows, such as using LLM tools to speed up instrument design, coding of open-ended responses or analysis. What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Remote - USA Workplace: Remote SOLUTIONS ARCHITECT Our Solutions Architecture team connects business priorities with practical technical solutions, helping customers understand how Chainalysis can support their most important objectives. In this role, you will provide technical leadership throughout the customer journey. You will turn complex requirements into clear recommendations, help customers envision how our products fit into their operating environment, and guide them toward measurable business outcomes. As a Solutions Architect, you'll develop a deep understanding of Chainalysis solutions and the problems our customers are trying to solve. You'll explain complex concepts in a clear, compelling way to technical practitioners, business leaders, and executive stakeholders. You'll also build practical, customer-specific solutions that support deployment, integration, adoption, and long-term value. In this role, you'll: - Serve as a core member of the account team, partnering closely with Sales, Services, Customer Success, Product, and Engineering. - Take ownership of customer outcomes across the full lifecycle, from initial discovery and solution design through investigation support, compliance program delivery, deployment, enablement, adoption, and expansion. - Lead discovery conversations that uncover customer objectives, operational pain points, use cases, technical constraints, and success criteria. - Translate business and operational needs into clear technical requirements, solution designs, and implementation paths. - Articulate Chainalysis capabilities in a way that is relevant to each customer's compliance, risk, fraud, investigations, or security environment. - Create tailored demonstrations, proof-of-value experiences, and technical narratives that show how Chainalysis can address customer priorities. - Conduct blockchain investigations, deliver compliance and regulatory guidance, and build technical solutions such as notebooks, dashboards, automation workflows, data integrations, reference architectures, and agentic workflows. - Develop AI-assisted workflows that accelerate and automate investigations, analysis, and customer processes, adapted to each customer's operating model, data, controls, and risk framework. - Design automation that fits into existing compliance, risk, fraud, investigations, or security operations rather than requiring customers to redesign how they work. - Help customers access and operationalize Chainalysis data through APIs, integrations, and fit-for-purpose technical patterns. - Provide guidance on solution architecture, API implementation, workflow design, data movement, and integration considerations. - Drive platform adoption by connecting customer workflows to Chainalysis capabilities and identifying new use cases. - Identify creative, responsible approaches to difficult customer problems, while balancing speed, scalability, security, maintainability, and measurable impact. - Build trust through sound technical judgment, clear communication, reliable execution, and a strong understanding of the customer's business. - Assemble the technical evidence base, including outcome data, consumption metrics, adoption analysis, and expansion signals, that supports quarterly impact reporting and renewal conversations. - Build customer capability and self-sufficiency rather than creating ongoing dependence on the Solutions Architecture team. - Own the feedback loop between customers and Product/Engineering, translating field insights and feature requirements into product improvements and bringing those improvements back to customers. - Act as a trusted advisor to customers, meeting them at their current level of crypto-maturity and partnering with them to advance their understanding, processes, and outcomes. - Represent Chainalysis at customer meetings, industry events, and conferences. - Contribute to the wider Solutions Architecture team through reusable assets, knowledge sharing, internal initiatives, and better ways of working. We're looking for candidates who have: - Several years of experience in one or more relevant areas, such as financial services, compliance, investigations, fraud, cybersecurity, digital assets, transaction monitoring, sales engineering, solutions architecture, or enterprise product management. - Experience making complex technical or operational concepts understandable to different audiences. - Strong storytelling, presentation, and written communication skills, with the ability to engage both technical teams and executive stakeholders. - A creative, structured, and investigative approach to solving challenging customer problems. - Comfort working with technical tools and learning new technologies quickly. Experience with Python or another programming language, SQL, data analysis, notebooks, workflow automation, APIs, integrations, or AI tools is valuable. - The curiosity and initiative to develop technical depth over time; you do not need to arrive with a complete technical stack, but you should enjoy investigating how things work and building the skills to solve new problems. - The ability to operate effectively when requirements are ambiguous, information is incomplete, or the best path forward has not yet been defined. - A collaborative, generous approach to working with others, including a willingness to share knowledge, seek input, and improve team practices. - A demonstrated focus on measurable customer outcomes, not simply technical activity or product usage. - An interest in blockchain and a desire to keep building your understanding of the technology, the market, and the customers we serve. Total Compensation: • Base Salary Range: $160,000-$185,000 • Offers Commission: 75/25 OTE • Offers Equity AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Make a difference. Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Enterprise Solutions Engineering team are our in-house, customer-facing product experts.  The Enterprise SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful.  We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Enterprise SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams. What You’ll Be Doing: Join as an early member of a high growth team working together to solve technical and customer problems the right way Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility Deliver product and technical presentations to potential and existing customers Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape Drive product conversations based on need and problems learned during customer interactions Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material What Makes You a Great Fit: Ideally located on the West Coast 5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running. We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership We are a remote-first company so you would need to learn to work and collaborate with an international team You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You will love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table! You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life! Compensation & Rewards: In the United States the OTE (On-Target Earnings) compensation range for this role is $204,000 - $254,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle We’re looking for a Senior HR Generalist to own the day-to-day of Runway’s HR function and shape how it scales. You’ll run core programs end to end, advise managers and employees on sensitive situations, unblock teams so they can move faster and build the processes that keep a fast-growing team compliant and well supported. You’ll work directly with the HR Manager as a strategic partner, and you’ll have the autonomy to make decisions, set priorities and fix what’s broken without waiting to be asked. WHAT YOU’LL DO - Own the employee lifecycle from onboarding through offboarding for full-time employees and contractors, and keep improving the process as the team grows - Own HRIS administration and data integrity in Rippling, including reporting, audits and workflow automation - Manage employee visa and immigration processes in partnership with outside counsel - Oversee leave administration and accommodations across jurisdictions, and keep policies and practices compliant with current employment law - Run key programs end to end with the HR Manager, including performance reviews, open enrollment, engagement surveys and compensation cycles - Act as the go-to resource for employees and managers on benefits, policies and HR processes - Identify gaps in HR operations and ship fixes: updated policies, clearer documentation and more efficient tooling - Pitch in wherever the team needs; no task is too small if it moves things forward WHAT YOU’LL NEED - 5+ years of experience in an HR Generalist or people operations role at a high-growth company - Deep working knowledge of benefits, leave administration, immigration basics and employment law across multiple states - Experience running company-wide programs such as performance cycles, open enrollment and engagement surveys - Strong HRIS skills, with Rippling experience a strong plus - Clear written and verbal communication, and the credibility to advise managers and senior leaders - Comfort operating independently in a fast-paced, ambiguous environment - Exceptional organization and attention to detail - A high ownership mindset and a team-first attitude Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As a Customer Success Manager at Chainguard, you will be the post-sales primary point of contact for our Enterprise customers. You will be responsible for taking lead on customer engagements across onboarding, implementation, and adoption. In this role, you will work closely with Solutions Architects, Technical Support, Product Management, Engineering and Sales to ensure the successful onboarding and support of your customers. You are their day-to-day contact, building relationships with customers and driving outcomes, adoption, and delivering time-to-value. What you’ll do: Success Planning & Value: Drive business success planning by partnering with customers, pre-sales, and post-sales teams to align on requirements, goals, and challenges. Provide thought leadership on change management for large, scaled rollouts. Support the full Business Value Realization cycle to ensure customers can demonstrate and prove value internally. Customer Advocacy: Act as the voice of the customer within the organization, advocating for customer needs and requirements to internal teams.  This means being a team player and having strong collaboration skills - this role must align with many different internal teams, influence them to act toward customer needs. Issue Management: Collaborate with Technical Support and Customer Engineering teams to ensure timely resolution to customer issues. Product Expertise: Develop hands-on technical knowledge of Chainguard and stay up-to-date with industry trends, new features, and best practices so you can help customers optimize their use of Chainguard. Training & Education: Collaborate with customers and our Edu team to ensure customers are educated on product features, best practices, and security principles. Account Management: Develop relationships with multiple levels of customer stakeholders from technicians to CISOs. Work closely with sales teams to identify the best path to renew and expand customers while minimizing churn risks. What we're looking for: 5+ years experience in enterprise, customer facing roles collaborating with both technical and business teams - Customer Success, Professional Services, Technical Account Management or a combination of those plus Sales, Solutions Engineering, or Technical Support. Relevant domain knowledge of one or more of the following: Supply Chain Security, DevSecOps, AppSec, security infrastructure, containers, regulatory compliance requirements, vulnerability management, software development lifecycle. This is a strategic and proactive role, our expectation is that this person will take full ownership of their customer portfolio and act with a high level of autonomy.  This includes making key decisions to drive effective customer outcomes; deciding when to include our executive team or c-suite in customer escalations, how to de-risk or de-escalate customer issues and conflict, and advocating to internal teams including sales, product, engineering, etc. An entrepreneurial mindset - you will be often build entirely new process or practices to ensure we best serve customers. Demonstrates a strong commitment to continuous personal and professional development, actively seeking opportunities to enhance skills, expand knowledge, and advance within their career and field. Driven, high emotional intelligence, and strong priority management skills Strongly Preferred: Previous early-stage startup experience Passion for technology & cybersecurity Relevant hands-on technical experience, in one or more of the following domains: cloud computing environments (AWS, GCP, Azure), containers, Linux, Supply Chain Security, DevSecOps, AppSec, security, security infrastructure, regulatory compliance requirements, vulnerability management, software development lifecycle Compensation: Up to $160,000 base salary + bonus If your experience is close but doesn’t fulfill all requirements, please apply . Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring Chainguardians with unique backgrounds, perspectives, and experiences. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As our Manager, Business Development, you won’t just manage a pipeline—you’ll be the strategic engine driving Docebo’s next era of global growth in the AI-powered learning space. You will mentor, champion, and inspire an ambitious team of outbound pioneers, transforming aggressive targets into collective victories and career-defining milestones. Partnering shoulder-to-shoulder with sales, marketing, and executive leadership, you’ll architect modern engagement playbooks that open doors to premier global brands. If you’re energized by the thrill of coaching rising stars, challenging conventions, and making an indelible mark on an industry leader, this is your launchpad. ⚡ THE DAY-TO-DAY - Coach & Inspire the Team: Guide, mentor, and elevate a high-performing team of Business Development Representatives, fostering an inclusive, collaborative culture where continuous learning and shared wins thrive. - Architect the Growth Engine: Design and execute high-converting outbound business development strategies that captivate prospective enterprise buyers, unlock new market territories, and accelerate revenue pipeline. - Forge Cross-Functional Alliances: Collaborate in lockstep with Sales, Marketing, and Product teams to align go-to-market initiatives and engineer seamless, high-converting lead handoffs. - Decipher the Data: Dive deep into team analytics—from lead generation volume and conversion velocities to bottom-line revenue impact—leveraging actionable data to pivot tactics and drive decisions. - Champion Strategic Relationships: Cultivate lasting rapport with key executive prospects, partners, and internal stakeholders, serving as an executive sponsor for high-value enterprise pursuits. - Relentlessly Elevate Processes: Identify workflow bottlenecks, deploy modern sales enablement tools, and embed scalable operational best practices that supercharge day-to-day team efficiency. 🦸 YOUR SUPERPOWERS - Proven Leadership Prowess: 6+ years of relevant experience in business development, highlighted by a track record of successfully leading, coaching, and developing high-performing teams in a dynamic SaaS environment. - Target-Crushing Track Record: A proven history of consistently meeting and exceeding ambitious pipeline generation and revenue targets while inspiring teams to achieve their personal best. - Sales Tech Mastery: High proficiency with modern sales enablement tools, including Salesforce, Gong, and LinkedIn Sales Navigator. - Sharp Analytical Acumen: Natural fluency with pipeline metrics and data, with the proven ability to track team performance and translate analytics into winning tactical adjustments. - World-Class Communication: Exceptional interpersonal, coaching, and stakeholder-management skills, capable of building rapport with C-level prospects and motivating teams across the organization. - Empathetic Leadership: A servant-leader mindset dedicated to nurturing an inclusive, high-trust environment where every team member is empowered to bring their unique strengths to work. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: 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 Our Partner Experience team is building an AI-native operating model on top of a growing set of partner-facing systems: Salesforce, PEM, the partner portal, enablement and certification platforms, and the integrations that connect them. Our systems lead owns the architecture and data model. Our GTM Systems team builds and releases changes in Salesforce. Our AI Operations Engineer builds the agentic workflows that run on top of it. This role connects the business to all of them: a senior business systems analyst who runs discovery, captures requirements, leads UAT, and publishes release notes for every bug fix, improvement, enhancement, and new build, and who is hands-on enough as a Salesforce admin to keep the platform healthy in production. You'll use Claude every day to draft requirements, write test cases and release notes, and keep documentation current, and you'll be the person who spots which recurring requests should become automations. As our Senior Partner Systems Analyst, you'll own how change happens on the partner systems stack. When a partner program launches, a partner manager needs a new workflow, or a partner can't see their deal registration, you're the first call. You'll sit down with the people who raised it to understand the problem, write requirements the GTM Systems team or the AI Operations Engineer can build from, run UAT with the people who will use it, and publish release notes so nobody has to ask what changed. For smaller fixes, you'll make the change yourself as a Salesforce admin. This is a senior analyst role with real ownership. You'll set up the intake, discovery, UAT, and release processes rather than inherit them, decide what gets worked on first, and make sure nothing ships without agreed requirements, UAT sign-off, and release notes. Key responsibilities Lead discovery for new requests: meet with partner managers, partner operations, and other stakeholders to understand the problem, map the current process, and size the change before anything is built. Capture requirements for bug fixes, improvements, enhancements, and new builds: user stories, process flows, field and access definitions, acceptance criteria, and edge cases, precise enough that the systems lead, the GTM Systems team, the AI Operations Engineer, or an implementation partner can build from them. Work with the GTM Systems team and the AI Operations Engineer through the full delivery cycle for enhancements, improvements, new builds, and bug fixes: hand over requirements, answer questions during the build, review what was built against the acceptance criteria, and coordinate the release. Own UAT for every change: write the test plan and test cases from the acceptance criteria, coordinate testers from the partner team, log and retest defects, collect sign-off, and smoke test in production after each release. Write and publish release notes for every release: what changed, who it affects, and what users need to do differently, in language partner managers can act on. Prioritize the backlog with stakeholders, weighing partner impact, risk, and effort, and keep a clear, visible view of what's coming next and why. Serve as the point of contact for bugs, enhancement requests, and system questions across Salesforce, PEM, and the partner portal, and own the intake queue end to end. Triage production incidents: reproduce the issue, assess impact and severity, resolve it or route it to the right owner, and keep affected teams updated until it's closed. Administer Salesforce for the partner org: objects, fields, page layouts, validation rules, flows, permission sets, reports, and dashboards. Understand how data moves between Salesforce and PEM, monitor integration health, and diagnose sync failures, mapping errors, and access issues. Document the platform: system documentation, data dictionary, integration maps, and admin runbooks. Identify repeatable admin and support requests, log them as automation candidates, and partner with the AI Operations Engineer to move them off the manual queue. Minimum qualifications Experience running discovery and requirements sessions with business stakeholders, and turning what you hear into user stories, process flows, and acceptance criteria. A track record of working with a systems or engineering team through a build, from requirements handover to release. Disciplined testing habits: you have planned and run UAT with business users, with test cases written from acceptance criteria, defects tracked to closure, and sign-off before release, and you don't consider a change done until it has been smoke tested. Clear written communication: your requirements get built correctly the first time, your release notes tell non-technical users what changed and what to do, and your documentation is something people actually use. You already use LLM tools like Claude in your day-to-day work and can show where it changed how you gather requirements, test, or document. A track record of owning a production Salesforce org or business systems stack, including the intake, triage, and release processes around it. Strong Salesforce admin skills: declarative configuration, flows, validation rules, the security and sharing model, and reporting. Working knowledge of integrations: how records sync between systems through APIs or middleware, how to read an error log, and how to trace a data issue back to its source. A structured approach to incidents: you separate symptoms from root cause and communicate clearly while things are broken. Judgment about priorities: you can say "no" or "not yet" and explain why. Preferred qualifications 5+ years as a business systems analyst, Salesforce administrator, or in a similar role where you owned discovery, requirements, and UAT for business systems, ideally supporting a partner, sales, or customer success organization. Experience working in a sprint-based delivery model, with a shared backlog and regular sprint reviews. Experience with partner relationship management (PRM) platforms, partner portals, or channel programs such as deal registration, certifications, or MDF. Salesforce release management experience: sandboxes, change sets or DevOps tooling, and deployment checklists. SQL or scripting skills for data investigation and cleanup. Salesforce Administrator, Platform App Builder, or Business Analyst certification. How this role works with the team You'll work day to day with our Partner Business Systems Lead, who owns systems architecture and the partner portal, the GTM Systems team, who build and release changes in Salesforce, and our AI Operations Engineer, who builds the agentic workflows that run across those systems. The systems lead designs the platform, the GTM Systems team and the AI Operations Engineer build on it, and you connect the business to the build: you run discovery, capture the requirements, lead UAT, and publish the release notes for enhancements, improvements, new builds, and bug fixes. You'll also be the main point of contact for partner managers and other internal teams who depend on these systems. 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: $215,000 — $300,000 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. 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: United Kingdom - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. Security Engineer, Governance, Risk & Compliance (EMEA) The role: GRC work is at its best when it makes security clearer, more consistent, and easier to operate. As a Security Engineer focused on Governance, Risk & Compliance, you’ll help maintain and improve Chainguard’s compliance and risk programs while building the experience and judgment to take on broader ownership over time. You’ll work closely with experienced security and GRC partners to support SOC 2 Type II and ISO 27001 audit readiness, keep evidence and controls organized, help manage risk and remediation work, and improve the systems and processes behind our compliance program. This is an earlier-career, hands-on role. You don’t need to have led an audit or built a GRC function before. We’re looking for someone with strong organizational habits, good judgment, curiosity, and a willingness to learn. You’ll have clear areas of responsibility, regular opportunities to work cross-functionally, and support from teammates as you grow your expertise. Chainguard is building the secure foundation for software development and deployment. You’ll contribute to that mission by helping our security practices remain effective, measurable, and worthy of our customers’ trust. What you’ll do: Support audit readiness activities for SOC 2 Type II, ISO 27001, and other security assurance initiatives. Coordinate evidence collection with teams across Security, Engineering, Legal, HR, Product, and other functions. Help maintain security policies, standards, procedures, control descriptions, and supporting documentation. Assist with control testing, risk assessments, gap analysis, and remediation tracking. Keep compliance and risk information accurate and up to date in GRC platforms such as Vanta. Help translate auditor, customer, and internal security requests into clear next steps for the right stakeholders. Track action items, follow up on dependencies, and communicate status, risks, and blockers clearly. Identify opportunities to simplify and improve GRC workflows through better documentation, automation, and use of modern tooling. Develop and maintain repeatable processes, checklists, runbooks, and evidence-collection practices. Support customer security reviews, questionnaires, and third-party risk activities as needed. Learn Chainguard’s systems and security practices well enough to ask useful questions, identify inconsistencies, and escalate potential risks with clear context. Partner with senior members of the Security and Governance, Risk & Compliance teams on projects that improve Chainguard’s security posture. What we’re looking for: 2+ years of experience in information security, GRC, compliance, audit, risk, IT, or a related field; equivalent practical experience is welcome. Experience supporting audits, control activities, risk assessments, security questionnaires, or compliance programs. Strong organizational and project coordination skills, with the ability to manage details across multiple workstreams. Clear written and verbal communication skills, including the ability to explain requests and findings to both technical and non-technical stakeholders. A structured, detail-oriented approach to documentation, evidence management, and follow-through. Curiosity about how technology and security controls work, with the confidence to ask questions and investigate unfamiliar topics. Comfort working with spreadsheets, documentation systems, ticketing tools, and GRC platforms. An interest in improving repetitive processes through automation, better tooling, or clearer workflows. A collaborative, team-first approach and the ability to work effectively with colleagues across regions and functions. Comfort working in a fast-moving environment where priorities and processes continue to evolve. Nice to have: Experience with SOC 2, ISO 27001, NIST, or another security or assurance framework. Familiarity with GRC platforms such as Vanta, Drata, or similar tools. Experience with control testing, risk registers, remediation plans, or policy management. Exposure to cloud environments, SaaS applications, software development practices, or security operations. Familiarity with third-party risk management or customer security reviews. Experience improving workflows with automation, integrations, or lightweight scripting. Why you’ll love it here: We take security seriously without making it unnecessarily complicated. At Chainguard, you’ll: Learn by doing: Work on real security and assurance programs with support from experienced teammates. Challenge the status quo: Help simplify processes, improve tooling, and find better ways to get important work done. Collaborate across borders: Partner with colleagues across EMEA and the broader Chainguard organization. Grow your scope: Build the technical judgment and program-management skills needed to take on increasingly complex security initiatives. Win together: We share context, assume good intentions, and value collective success over individual heroics. Bring your whole self: We do serious work, but we also believe humor, curiosity, and enjoying the people you work with make the work better. Base Salary Range $89,000 — $105,000 USD About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role GiveDirectly gives cash directly to people living in poverty and in emergencies. Both depend on the same question: did this person live in this place, at this time? We ask it when we target the poorest households, and when a disaster displaces a community overnight. Location records held by Mobile Network Operators (MNO) can help us estimate an answer to this question at scale. We work with MNOs so they can infer, from their own records, whether a subscriber was resident in a target area over a defined period. Robust residence location inference from MNO data requires in-depth analytical work, and the methods we design have to run on an operator's systems - most often implemented by their engineers - under strict data protection and confidentiality rules. We are hiring a Senior Data Scientist to progress our work on location inference from MNO data, and to make it repeatable. Your job is to improve and extend our library of method templates, adapt them to each new operator and setting, and design new elements when an intervention requires it. You'll assess what can be inferred from a given operator's data, specify the analysis clearly enough for their data engineers to implement, then test it with them remotely or on site. You'll support introductory meetings with MNOs, describing methodologies at a high level, and inform the work of data privacy and cybersecurity teams to ensure only necessary data are shared securely. You'll also help colleagues across GiveDirectly understand the strengths and limitations of this data source, so we design programs around questions it can best answer. This work is live in several countries, and we're expanding it across the countries where we have offices and to low- and middle-income countries anywhere in the world when a crisis hits. Reports to: Senior Product Manager - MNO data Level : Senior Manager Location: At this stage of GiveDirectly’s growth and scale, we’re prioritizing hiring in the countries below, where we can employ you through a GD entity or an established employer of record: Cameroon, Canada, Colombia, DRC, Germany, Ghana, Kenya, Malawi, Mozambique, Netherlands, Nigeria, Poland, Portugal, Rwanda, South Africa, Spain, Turkey, Uganda, United Kingdom, and United States. This list reflects where our employment infrastructure is established today, and may evolve as we grow. If you’re based elsewhere and not open to relocation, we may not be able to consider your application for this role right now, but we’d encourage you to check back. Please note that we are unable to sponsor or take over sponsorship of employment Visas in the U.S. or U.K. at this time. Travel Requirement: Substantial international travel, roughly 25 to 50% of your time depending on emergencies, sometimes at short notice - for workshops with operators to support programs and emergency responses. What you’ll do: Improve and extend our library of analytical method templates for establishing where people live from MNO data, and depending on circumstances, for detecting displacement or estimating poverty. Design novel methods when an intervention requires it. Support colleagues in technical conversations with operators, bringing clarity on the data we need and why, and steering discussions toward technical designs that make the analysis workable. Assess the information that can be inferred from each operator's data given data types and sparsity, and for each geography and targeted area. Support intervention design to account for data quality. Write tests and method specifications for MNO data engineers to implement: steps, parameters, pseudocode, validation criteria. Guide operator engineering teams through implementation, in writing and in person. Adapt methods to accommodate large data volume and computational constraints, balancing accuracy and operational needs. Run in-country workshops with operators to support the set-up of new analyses and - where feasible - tune parameters based on statistical tests and distributions. Feed every new analytical and implementation element back into standard templates, so the next country or intervention starts from a better position than the last. Design for privacy from the start, so that as little data as possible has to be shared: aggregation, minimization, and where useful, privacy-enhancing technologies such as private set intersection or homomorphic encryption. Protect the confidentiality of what operators share with us and improve internal data security processes and tools as we grow. Build internal training material so that our technical and non-technical teams understand the strengths and limits of this data, and design interventions accordingly. What you’ll bring: Exceptional alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. We welcome and strongly encourage applications from candidates who have personal or professional experience in the low-income and/or historically marginalized communities that we serve. Strong mathematical modeling, machine learning and statistics. You choose methods for the question rather than for their sophistication, and you value being able to explain a result over squeezing out the last point of performance. Deep comfort with spatio-temporal data: temporal filtering, GIS, probability distributions, combinatorial reasoning, and working with sparse, irregular observations. Direct experience with Call Detail Records (CDRs) or latching data is a strong plus. Comparable experience with mobility, transport, sensor or remote-sensing data counts. The ability to reason without ground truth. Much of this work has no validated answer to check against, and you're comfortable setting parameters by reading the shape of the data and defending that choice. Pragmatism about the trade-off between accuracy and implementability. You've deliberately simplified a method to fit an operational constraint, and you can say what it cost you. Excellent communication and relationship-building skills. You can explain a method and its limitations to an operator's engineers, to their data protection officer, to their leadership and to colleagues with or without technical background. You write well and are comfortable presenting to these multiple audiences. You build trust with counterparts you don’t manage, and they want to work with you again. Experience writing technical specifications that other teams implemented, clear enough that people you don't manage could follow them correctly. Able to read and review SQL and Python written by others, and to find the logical error in someone else's query. Writing production-quality code yourself is welcome but not required. Enough understanding of large data volumes and databases to judge when analytical simplification is required. Commitment to privacy by design as a foundational value and starting point rather than a compliance step: designing analyses so that less personal data has to be shared. Familiarity with privacy-enhancing technologies for shared computation (private set intersection, secure multi-party computation, homomorphic encryption) is a strong plus. Commitment to confidentiality. You've handled a partner's commercially sensitive data and can describe the habits you built around it, not just the clause you signed. Experience designing training material that changed how non-specialist colleagues used a data source. Comfort in fast-moving contexts where the brief may often shift, and where your technical expertise and understanding may not be shared by other stakeholders. Additional desirable experience may include: poverty modeling; familiarity with survey data and survey instruments; experience inside a mobile network operator or working closely with one; open-source contributions in the mobility estimation space. Comfortable with travel to fragile and post-disaster contexts. Language Requirement: English. Language Preferences: French, Portuguese, Swahili or Spanish. Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. United State Base Salary: $107,070 Bonus at Target Performance: 10% Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £70,250 Bonus at Target Performance: 10% Annual Benefits Stipend: £2,760 Kenya Base Salary: $ 72,550 Bonus at Target Performance: 10% Annual Benefits Stipend: $8,454 This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: Anywhere in Belgium Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ YOUR MISSION We're looking for a Bid Manager to lead RFP responses for Public sector and Enterprise accounts in Belgium. RFP MANAGEMENT & WIN - Organize, coordinate and oversee end-to-end response processes (offer documents, administrative docs, compliance, customized material, negotiation material, account based marketing document) working closely with sales, product, ops, and pricing teams. - Produce high-quality, persuasive, and technically accurate proposals - Coordinate cross-functional inputs (Sales, Product, Legal, operations, care, insurance) to ensure technical coherence of our offer. - Operate within structured bid governance (Go/No-Go, quality gates) - Own the end-to-end RFP calendar, including reverse planning from submission deadline. Run kick-off meetings, assign and track all contributor deadlines, send structured reminders, and escalate blockers proactively to ensure zero missed submissions. Manage concurrent RFP timelines without quality trade-offs. - Support sales teams in engaging key stakeholders and preparing negotiation rounds. - Contribute to identifying the Client's selection criteria and "hot buttons", and to defining the answer strategy along with Sales team BUILD & SCALE - RFP Library: Build and maintain a knowledge library to standardize responses and increase win rates. - Framework automation: Implement AI tools and processes to improve response quality, efficiency, and delivery handover. - Collaboration: Collaborate with other tenders managers from the area to share best practices and adapt proven methodologies from their scaled tender operations. - Market intelligence: Provide competitive intelligence on how competitors respond to similar tenders. ⭐ YOUR PROFILE MUST HAVE: - 4+ years experience in project management, consulting or tender/bid management - Experienced in complex multi-stakeholders and multi-contributors Enterprise RFP’s. - Excellent written communication - Outstanding project management: planning, stakeholder management, monitoring - Strong product / technical appetite: ability to quickly master Alan's product and translate it into compelling RFP narratives - Problem solving: ability to break down complex RFP requirements and orchestrate cross-functional collaboration to deliver - Collaborative mindset across crews and expertises - Adaptability: Comfortable with ambiguity & thrives under pressure in a fast-paced, dynamic environment; embraces a “no-task-is-too-small” mentality. - Meticulous attention to detail - Adaptability and resilience in complex sales cycles - Master technics and tools : AI LLM, Salesforce, Notion, Knowledge bases. - Full working proficiency in Dutch (spoken and written) - Full working proficiency in English NICE TO HAVE: - Full working proficiency in French - Prior experience responding to private or public sector RFPs for insurance, benefits, or SaaS/B2B products - Prior experience in marketing, with the ability to craft a compelling message supported by strong design and visual communication skills For this opportunity, we are aiming to hire within the B0-C0. ⭐️ HOW WE WORK ⭐️ - Level: we are looking to hire within the B0-C0 level range https://alan.com/en/careers/a/salary-equity. - Location: Belgium. - Team: you join our Enterprise & Public Sector crew. You grow with Belgium: the most complex deals are yours from day one, and as the team expands, you mentor the next hires. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible Office. Amazing office space at our Paris HQ, with a hybrid setup - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only. - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE NOT ROLES. After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: London Workplace: Remote Product Marketing turns Chainalysis innovation into customer value. We position our intelligence as solutions customers can understand and consume through our platform, shape how we commercialize them, and give GTM the stories and strategic assets to win. The public sector is a priority growth segment for Chainalysis, spanning law enforcement, intelligence agencies, regulators and tax authorities. As digital assets become more integrated into the financial system, these organizations need the intelligence, tools and tradecraft to advance their missions—from shaping policy and enforcing the rules to disrupting illicit networks and protecting national security. This role connects Chainalysis capabilities to those mission priorities, with a clear, compelling story for agency leaders and operational teams. As Senior Product Marketing Manager for the Public Sector, you will own how Chainalysis shows up in the market for these buyers. You will shape our intelligence, data, products, AI capabilities, and services into a differentiated customer story—one that connects to real workflows, urgent problems, and mission outcomes. This is a role for a strong marketer and an exceptional writer. You can take a complex capability, a shifting market, or a fuzzy customer problem and shape it into a sharp point of view, a persuasive narrative, and practical tools that sellers and customers actually use. You will work closely with Product, Sales, Marketing & Communications, subject-matter experts, and GTM Solutions & Readiness teams to make the story land in the market. In this role, you’ll: Position the value - Define and evolve the public sector value narrative: what Chainalysis enables, why it matters, and why we are meaningfully different. - Build messaging for priority buyer and user personas, from agency leaders to investigators, intelligence analysts, regulators and tax specialists. - Create the narratives, proof points, and strategic assets that help sellers communicate differentiated value with conviction. - Own public-sector competitive intelligence, translating market moves into clear offensive and defensive positioning for deal teams. Turn value into solutions - Partner with Product, R&D, Marketing & Communications, and subject-matter experts to translate innovation into compelling industry solutions, use cases, and sales plays. - Lead go-to-market planning for launches, major releases, platform capabilities, and commercial offerings. - Shape customer-facing value narratives for pricing, packaging, and usage-based commercial models, including business cases, operational value and mission impact. - Bring a customer lens to product and market decisions: explain not only what a capability does, but how it advances the customer’s mission. Win and learn in market - Produce the strategic content that moves government opportunities forward: first-call decks, solution briefs, talk tracks, discovery frameworks, proof points, and sales plays. - Partner with Product, Product Marketing, GTM & Enablement teams to scale the strongest narratives into field tools and enablement. - Bring customer, field, partner, and competitive insight back into the work — sharpening positioning, converting market evidence into credible stories, and building repeatable use cases. We’re looking for candidates who have: - 5–8 years in product, solutions, industry, or B2B enterprise technology marketing, with experience marketing to public-sector customers across law enforcement, intelligence, regulatory or tax functions. - A demonstrated ability to build positioning and messaging that changes how customers and sellers see a problem—not simply content that fills a library. - Exceptional writing and editorial judgment. You can write crisp headlines, persuasive narratives, practical sales content, and executive-level messaging; you know the difference between jargon and precision. - Strong understanding of public-sector buying journeys, decision-making processes and mission-oriented sales motions. - The ability to connect technical capabilities to mission and operational value for both executive buyers and hands-on users. - A collaborative self-starter, comfortable working across R&D, Sales, technical and revenue teams, and senior leaders to drive ambiguous, multi-stakeholder work forward independently. Nice to have experience: - Experience with blockchain, digital assets, or crypto-native financial infrastructure. - Experience marketing AI-powered products, data platforms, intelligence products, cybersecurity, or risk and compliance technology. - Familiarity with consumption- or usage-based pricing and packaging. - Familiarity with investigative, intelligence, national-security, regulatory or tax use cases for intelligence and technology, and the policy developments shaping digital-asset markets. You’ll thrive here if: You can shape complexity into a story people remember and a sales conversation people can use. You write with precision, bring sound judgment to ambiguous problems, build for repeatability rather than one-off requests, and care about the quality of what reaches customers and the field. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - USA Workplace: Remote Product Marketing turns Chainalysis innovation into customer value. We position our intelligence as solutions customers can understand and consume through our platform, shape how we commercialize them, and give GTM the stories and strategic assets to win. Customers reach our intelligence through products, AI agents, workflows, APIs, data and expert services. This role owns what those add up to. Our segment leads make it specific to an industry; you make the case for Chainalysis as a whole, and build the programs that grow each customer over time. As Senior Product Marketing Manager for Platform, you will own the positioning for the Chainalysis platform as a whole, then turn it into the lifecycle campaigns and programmes that drive adoption, usage and expansion across our customer base. This is a horizontal role working across every segment. It suits a problem solver rather than a feature marketer: you start from what customers are trying to do and what gets in their way, then work back to what we offer. You are metrics-savvy. You know what moves the needle and which levers to pull to meet an objective. You will work closely with Product, Sales, Customer Outcomes, Marketing & Communications and GTM Solutions & Readiness, alongside the segment leads who go deep on their industries. In this role, you'll: Position the value - Define and evolve the Chainalysis story: what our intelligence enables, why we are meaningfully different, and why the whole is worth more than any one part. - Build the messaging that lets GTM teams tell that story consistently. - Own competitive positioning: frame the category and turn market moves into guidance deal teams can act on. Build the programmes that grow it - Build the lifecycle campaigns that take customers deeper into the platform and scale them in partnership with demand generation, product and sales strategy: onboarding, activation, expansion and renewal, each with its own message and moment. - Spot the expansion patterns that hold across segments and turn them into cross-sell and upsell plays: the trigger, the message, the proof, and the asset a seller uses. - Explain our commercial model in the customer’s terms, so buyers can see how what they use connects to what they get. - Lead go-to-market planning for launches that span the portfolio, working with segment leads on the value proposition for each audience. Win and learn in market - Produce the strategic content that moves these conversations forward: first-call decks, value maps, discovery frameworks, ROI stories, objection handling and sales plays. - Partner with Product, Product Marketing, GTM & Enablement teams to turn the strongest narratives into field tools sellers can find and use without asking. - Turn churn, win-loss, field feedback and competitive signal into sharper positioning, and measure what reflects business health rather than activity. We're looking for candidate who have: - 8+ years in product, solutions, industry, or B2B enterprise technology marketing. - Experience building something from nothing: a new proposition, segment or business line where there was no playbook. - Positioning that changes how customers and sellers see a problem, and connects many capabilities into one value story. - Experience designing lifecycle campaigns or expansion programmes where you owned the messaging and mechanics. - Exceptional writing and editorial judgment. You can write crisp headlines, persuasive narratives, practical sales content, and executive-level messaging; you know the difference between jargon and precision. - A collaborative self-starter, comfortable driving ambiguous, multi-stakeholder work forward across Product, Sales, technical and revenue teams, and senior leaders. Nice to have experience: - Experience with blockchain, digital assets, or crypto-native financial infrastructure. - Experience marketing AI-powered products, data platforms, intelligence products, cybersecurity, or risk and compliance technology. - Familiarity with consumption- or usage-based pricing and packaging. You’ll thrive here if: You enjoy connecting many products into one story more than marketing a single product in isolation. You build from first principles and create structure where none exists. You write with precision, build for repeatability rather than one-off requests, and care about the quality of what reaches customers and the field. You know when to go deep and when to simplify, and help raise the standard of the work around you. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Brussels; London; London OR Brussels Workplace: OnSite DeFi Quant Research Intern - Digital Assets Market Making Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London, Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across digital asset markets. Within the DeFi track, we focus on how blockchain mechanics, protocol design and on-chain market structure shape liquidity, execution and risk. As a DeFi Quant Research Intern, you will work alongside quantitative researchers, traders and engineers to study on-chain markets and support the development of data-driven trading strategies. You will analyse blockchain and market data, test hypotheses through backtesting and simulation, build research tooling, and investigate how real-world execution—including gas, transaction ordering, liquidity fragmentation and MEV—affects strategy performance.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with genuine hands-on DeFi experience. You should be curious about how protocols work beneath the interface and able to connect blockchain mechanics to market behaviour and trading outcomes. Key Responsibilities - DeFi Quant Research Intern - Research on-chain market structure by analysing liquidity, price formation, participant behaviour and execution across decentralized markets. - Study how protocol mechanics, transaction ordering, gas, slippage, latency and MEV affect execution quality and strategy performance. - Formulate trading hypotheses and evaluate them using blockchain data, market data, backtests and simulations. - Build reusable Python tools and data pipelines for research, monitoring and performance analysis. - Analyse relationships between centralized and decentralized markets and identify their implications for pricing, hedging and risk. - Support live strategies through monitoring, post-trade analysis and investigation of unexpected performance. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - DEFI QUANT RESEARCH INTERN - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis and comfortable with SQL, Git and command-line workflows. - Practical blockchain understanding: You understand transactions, state changes, gas, blocks, consensus and finality at a working level, and can reason about how smart-contract interactions execute on-chain. - DeFi market knowledge: You understand AMMs, concentrated liquidity, swaps, liquidity provision, oracles and liquidations, and how decentralized execution differs from a centralized order book. - MEV awareness: You understand how transaction ordering and block construction can create arbitrage, liquidation, backrunning and sandwiching opportunities or risks, and how these dynamics affect execution. - Hands-on curiosity: You have used DeFi beyond coursework or social media. Ideally, you have built or analysed something yourself—such as an on-chain dataset, trading or monitoring script, AMM simulation, protocol integration or research project. - Trading judgement: You naturally question whether an apparent edge survives fees, gas, latency, slippage, adverse selection and changing market conditions. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   NICE TO HAVE - Experience querying blockchain data through RPCs, indexers, subgraphs or analytics platforms. - Ability to read Solidity, contract interfaces and event logs. - Exposure to Rust or another systems programming language. - Familiarity with non-EVM ecosystems or Layer 2 execution models. - A technical project demonstrating sustained interest in DeFi or on-chain markets. Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Brussels; London; London OR Brussels Workplace: OnSite Quantitative Analyst Intern - Digital Assets Market Making (HFT) - Brussels Since 2017, Keyrock has been a change-maker in digital assets. We're a global, remote-first team of 200+ people across 40+ nationalities, with hubs in Brussels, London and Paris and New York.   We provide liquidity across 80+ centralized and decentralized exchanges - a position cemented by our Series C, led by SC Ventures. Today we run a full spectrum of capital markets businesses across centralized and on-chain venues: market making, high-frequency trading, options, OTC, DeFi trading desks, advisory, and asset management.   We're building toward the agentic investment banking capabilities for the era of digital finance. A proprietary agentic layer runs the mechanics of the market, so our people can focus on the work code cannot do: the deal, the relationship, and the judgement. We're not just envisioning the future of finance - we're building it. ABOUT THE INTERNSHIP PROGRAM Our internship programme gives early-career talent the opportunity to build practical skills, contribute to meaningful projects and learn alongside experienced colleagues in digital finance. Typically lasting six months and based in our Brussels office (London possible), each internship includes hands-on experience, clear learning goals and dedicated guidance and regular feedback. We look for curiosity, relevant foundational skills, deep, active interest and passion for digital assets and the potential to grow exponentially with us - you don’t need to arrive with all the answers. Where performance, business needs and available opportunities align, an internship may lead to a permanent role, though this is not guaranteed. We are looking for 3-4 high-caliber Quantitative Analyst Interns to sit within our Strategic Market Making (CeFi and DeFi), Credit and Corporate Development desks/teams (see other openings on our career page for details). Application deadline: 30 November 2026 Start date: 1 March 2027 Selection process: - Interview with Talent Acquisition representative - Interview with Hiring Manager - Recruitment Challenge     The role About Strategic Market Making Desk Our Strategic Proprietary Market Making team researches and deploys systematic trading strategies across centralized digital asset venues. We study how order-book dynamics, fragmented liquidity, exchange design and participant behaviour shape pricing, execution and risk. As a Quantitative Analyst Intern within the HFT track, you will work alongside quantitative researchers, traders and engineers to analyse market and trading data, test hypotheses through backtesting and simulation, and build tools that improve strategy performance and risk visibility. You will investigate how fair value, liquidity, latency, queue position, fees and adverse selection affect real-world execution across venues.   This is a technical and applied internship. We are looking for someone who combines strong quantitative reasoning and coding skills with a detailed understanding of electronic markets. You should be curious about how exchanges work beneath the interface and able to connect market microstructure to trading outcomes. Key Responsibilities - Quantitative Analyst (HFT) - Analyse multi-venue top-of-book and depth data, trades, orders, fills and cancels to study liquidity, price discovery and execution quality. - Build and validate latency-aware, event-driven backtests with explicit assumptions around maker/taker execution, queue position, fill probability, fees and cancellations. - Measure spread capture, forward markouts, fees and adverse selection, and investigate how execution quality changes across venues, instruments and market regimes. - Build reusable Python tools and data pipelines using modern columnar analysis and SQL for strategy research, performance attribution and monitoring. - Study cross-venue price discovery, lead–lag relationships, fair-value construction and spot–perpetual basis while accounting for data staleness, instrument design and settlement-currency differences. - Support live strategies through PnL, inventory and exposure analysis, post-trade review and investigation of unexpected performance. - Evaluate liquidity-program economics by balancing execution quality, market share, fees and incentives, and work with traders and engineers to translate research into robust production improvements. - Present findings clearly, including assumptions, limitations, risks and recommended next steps. WHO YOU ARE/KEY REQUIREMENTS - QUANTITATIVE ANALYST (HFT) - Quantitative and coding foundations: You are pursuing or recently completed a degree in mathematics, computer science, engineering, physics, quantitative finance or a related field. You are proficient in Python for data analysis, ideally including Polars or similar columnar tools, and comfortable with SQL, Git and command-line workflows. Experience with ClickHouse or another analytical database is valuable. - Electronic market structure: You understand limit order books, order types, maker/taker mechanics, matching and priority rules, spreads, market depth and how trades move prices. - Execution awareness: You can reason about the order lifecycle from signal to acknowledgement and fill, including exchange APIs, latency, queue position, partial fills, cancellations, fees, slippage and adverse selection. - Digital asset markets: You understand key differences between spot and perpetual futures, including basis, funding, leverage, liquidation risk, settlement currencies and residual exposure. - Quantitative reasoning: You are comfortable with probability, statistics, time-series analysis and evaluating noisy results without overstating significance. - Hands-on curiosity: Ideally, you have built or analysed something yourself—such as an order-book study, trading bot, exchange connector, backtest, execution simulator or market-data pipeline. - Trading judgement: You naturally question whether an apparent edge survives latency, fees, market impact, changing liquidity and real execution constraints. - Ownership and communication: You can structure an ambiguous problem, test assumptions and communicate findings and limitations clearly in English.   Nice to Have - Experience working with exchange WebSocket/REST APIs and asynchronous market-data pipelines - Exposure to Rust or another systems programming language - Experience with tick/order-book data, event-driven simulation or execution modelling - A technical project demonstrating sustained interest in systematic trading or market microstructure   Our offer - A 6 month paid internship at world-renowned digital assets company with accommodation provided for entirety or part of it - The opportunity to learn about digital assets and blockchain from a 30,000 ft view of the entire ecosystem - Working from one of Brussels newest, nicest and most advanced office spaces - A global, collaborative and tech-driven environment. - Autonomy & Impact - our flat structure means you can contribute your ideas from day one and help shape the foundation that will power Keyrock’s future business. - Culture of Excellence - we value nimbleness, drive for success, owner mentality and collaboration. - Opportunity to leave your mark and start your career in one of the most reputable companies in the digital assets world - We are envisioning for the internship to be based pre-dominantly in Brussels. It is possible for a selected candidate to be based in London, UK, provided at least 1-2 months onboarding period would be spent in Brussels together with the rest of the interns cohort.   Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our People team are the architects of a great workplace where brilliant minds come together to do their best work. From discovering diverse talent and nurturing future leaders, to creating spaces that spark collaboration and crafting rewards that celebrate success - we're passionate about building a culture where everyone can thrive. We’re looking for a People Operations Process Transformation Lead to join our global team based out of London. This is a hybrid role. In this role, you’ll help us establish the operational foundation for HR across three global brands, streamlining workflows and preparing core processes for cutting-edge agentic AI. Get to know our People team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining the People Services & Enablement team. We run HR operations across DoorDash, Wolt, and Deliveroo, focusing on delivering one unified service catalogue, one front door, and a simplified operating model. You will turn fragmented processes into scalable, AI-ready operations that return real capacity to the business. Here’s what your day-to-day might look like: Establish a unified catalogue and SOP library: Create a single, cross-brand catalogue of all People Services activities with named owners, version control, and clear process mapping across Workday, Jira, and local tools. Eliminate process waste and standardise: Identify and cut redundant handoffs, rework, and unnecessary approvals before documenting standard operating procedures, ensuring we simplify before we automate. Size, prioritise, and track capacity: Implement a consistent T-shirt sizing framework (effort, complexity, risk) across all tasks to prioritise the operational backlog, plan team capacity, and measure FTE hours returned. Lead the agile methodology for agentic AI: Define intake, sprint frameworks, and definition-of-done standards to prepare SOPs and decision rules for AI agents, partnering with People Tech to launch priority automations. Optimise case management workflows: Design structured Jira workflows, auto-routing rules, and an AI case assistant to ensure seamless single-front-door intake, higher first-contact resolution, and strict SLA adherence. Drive cross-functional transformation: Partner closely with People Tech, Knowledge & Content, Payroll, and Centres of Excellence to seamlessly transition work into centralised services and measure tangible efficiency gains. What You’ll Need to Thrive Essential: Significant experience in process improvement, operational excellence, or HR shared services transformation, ideally within a complex, multi-country organisation. Demonstrated ability to catalogue, size, and simplify end-to-end processes, eliminating waste to deliver measurable gains in hours or cost. Strong practical understanding of agile methodologies (e.g. kanban, sprint cycles, backlog management) applied to operational or tech-enabled teams. Hands-on experience designing or governing AI-enabled and agentic workflows, including setting quality benchmarks and identifying critical human-in-the-loop checkpoints. Proven ability to design ticketing and case management workflows (ideally in Jira) and influence cross-functional stakeholders across HR, technology, and compliance without direct authority. Nice to have: Hands-on experience configuring Jira Service Management or Workday. Formal training or practical application in Lean, Six Sigma, or continuous improvement methodologies. Experience writing prompt evaluations, structured decision trees, or knowledge architectures for LLM-powered tools. Exposure to EMEA employment compliance, payroll handoffs, and operational change management. Why Join Us? At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .