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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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote); At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! About the role We are looking for a Senior Product Manager to own our authorization optimization product area, where payments and fraud decisioning meet. You will own authorization rate improvement for legitimate transactions. Set the strategy, prioritize the highest-value opportunities, and drive delivery across existing capability teams. This is a hands-on, technical product role. You will translate strategy into precise requirements, define the data and API interfaces that connect us with merchants, payment service providers and issuers, and be the product voice in architecture discussions. You will work daily with engineering and data science, and alongside go-to-market teams who bring the product to merchants. What you'll do Own the authorization optimization roadmap end to end: set priorities, sequence delivery, make tradeoffs, and communicate the plan and its rationale to leadership, engineering and go-to-market teams. Determine where Signifyd should build, orchestrate, partner or influence issuers directly, informed by issuer behavior, merchant needs and regional payment dynamics. Write detailed technical specifications, user stories and acceptance criteria, and manage the backlog with engineering. Define and evolve the APIs, data models and integration points through which authorization and decline data flows between merchants, PSPs, issuers and our platform. Identify, evaluate and develop new partnerships (such as PSPs, gateways, acquirers, issuers and data or technology providers) that expand our coverage and deliver measurable value to merchants. Build issuer/BIN intelligence covering authorization performance, decline patterns and treatment effectiveness. Maintain a quantified opportunity map to prioritize recoverable revenue. Drive issuer-specific decisioning across step-ups, 3DS, decline recovery and intelligent retries; inform routing where merchants have multiple PSP or acquirer options. Work with data science to define requirements for risk-aware decisioning, balancing approval gains against fraud and chargeback exposure. Own measurable authorization uplift and recovered merchant revenue. Demonstrate treatment impact through merchant proofs of value and issuer/BIN-level reporting. Partner with sales, solutions and customer success to bring merchant feedback into the roadmap and support adoption. Stay current on card network rules, regulation and industry practice, and use that knowledge to sharpen requirements. What you'll bring (required) 5+ years in a product management role, including ownership of a roadmap and end-to-end delivery. Hands-on payments product experience spanning issuer authorization behavior, with a deep understanding of decline recovery and retries, 3DS, PSD2/SCA frameworks (including the upcoming transition to PSD3/PSR), and demonstrated improvements in authorization performance. Experience writing detailed technical specs and defining APIs or data interfaces in partnership with engineering (backend or high-volume transaction systems a plus). Strong analytical skills, with comfort working from transaction-level data and defining success metrics. Experience working closely with data science or analytics teams and translating insights into product requirements. Proven ability to influence cross-functional stakeholders without direct authority. Clear written and verbal communication with technical and non-technical audiences. Preferred Experience at a payment processor, PSP, acquirer, card network, issuer or fraud/risk vendor. Exposure to fraud, risk or digital identity products, including the false-decline versus fraud-loss tradeoff. Experience defining requirements for ML-driven decisioning. Familiarity with 3DS/EMVCo, tokenization, ISO 8583 and PSD2/SCA. B2B SaaS or enterprise e-commerce merchant experience. #LI-Remote Benefits in our US offices: Discretionary Time Off Policy (Unlimited!) 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) On-Demand Therapy for all employees & their dependents Dedicated learning budget through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. Base Salary Ranges by Pay Zone: Tier 1 (NYC/SF Bay Area/Seattle): $165,000 – $205,000 annually Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $155,000 – $195,000 annually Tier 3 (US - All Other): $145,000 – $185,000 annually Equity: This role is eligible for a stock option grant of 7,000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd's Applicant Privacy Notice

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. As an Apparel & Accessories Inventory Planner, you will own inventory levels and buy plans for assigned categories and SKUs to support business objectives and achieve financial targets. Reporting to the Senior Inventory Planning Manager, you will manage day-to-day inventory planning and purchasing activities while supporting broader departmental planning initiatives. You will collaborate closely with fellow Inventory Planners, Product Marketing, Go-to-Market (GTM), FP&A, and Operations teams to ensure optimal inventory levels for new product launches, seasonal assortments, and ongoing business needs. The ideal candidate has 3+ years of experience in inventory planning and analysis. RESPONSIBILITIES: - Partner with D2C Product Marketing Managers to align inventory plans with product launches, seasonal color stories, and assortment strategies. Develop SKU-level inventory plans across D2C channels and markets to support business needs and product availability. - Own inventory health and replenishment planning for assigned categories and SKUs. Monitor inventory levels, analyze selling trends, and proactively identify risks and opportunities, including potential stockouts, excess inventory, and slow-moving products. Recommend actions to optimize inventory productivity and availability. - Translate demand forecasts, sales trends, and product insights into SKU-level buy quantities. Execute purchase orders and adjust purchasing recommendations based on evolving demand, inventory availability, and business priorities. - Maintain accurate inventory and on-order positions to support the Open-to-Buy (OTB) process. Provide bottom-up analysis of inventory needs, upcoming purchases, and potential risks to inform category-level inventory and financial plans. - Partner with Supply Chain to align inventory requirements with production lead times, minimum order quantities (MOQs), supplier capacity, and shipping timelines. Proactively identify and communicate potential supply constraints. - Support inventory allocation and distribution across D2C channels and markets, ensuring the right products are available in the right locations at the right time while balancing customer demand and inventory efficiency. QUALIFICATIONS: - 3+ years of experience in inventory management, demand planning, merchandise planning or allocation planning within a consumer goods or innovation-driven industry - Advanced Excel skills and a strong understanding of retail math required. - Experience with ERP systems (e.g., NetSuite) and demand and inventory planning platforms (e.g., o9, Anaplan, Blue Yonder, or similar tools) is a plus. - Experience with AI tools or analytics platforms is a plus, especially for forecasting or demand modeling. - Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into strategic decisions. - Excellent communication and interpersonal skills; comfortable collaborating with cross-functional teams across operations, supply chain, and marketing. - Proven ability to thrive in fast-paced, high-growth environments with competing priorities and tight deadlines. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: 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 Are you a sports performance professional considering a career change? Are you motivated by performance, accountability, and the challenge of building something within a defined territory? If you have a sports performance background — Sports Science, Athletic Training, Strength & Conditioning, or similar — and are hungry to learn the craft of consultative field sales, this Business Development Manager (BDM) role at VALD may be the next step in your career. About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the VALD Business Development Manager Role This is a FIELD SALES role with defined territory ownership. While this position is considered “remote” in that VALD does not operate a local office in every territory, this is not an inside sales or work-from-anywhere role. Business Development Managers are expected to spend time in the field meeting clients, performing product demonstrations, and developing relationships across their assigned territory. Location & Residency Requirements Applicants must live within 60 minutes of a major airport in the posted states associated with this role and able to travel around 3–4-hour radius of where they live. Candidates who do not currently live within the territory must be willing to relocate within 30 days of offer/start date. Applications from candidates planning to relocate will be considered; however, priority is given to qualified candidates already residing within the territory or those who have a history/network within the assigned territory No relocation reimbursement is offered . About the VALD Business Development Team The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD. With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business. Is this you? Travel & Field Expectations Approximately 50% travel, primarily regional. Frequent day travel by car, with regular overnight stays depending on territory. Limited air travel may be required based on geography (all work-related travel is reimbursed) Standard working hours are expected, with occasional evenings or weekends required for conferences, events, or lead follow-up. Reliable personal vehicle required (all work-related mileage is reimbursed). Ability to transport and demonstrate VALD equipment; carrying demo equipment up to ~75 lbs is required. Vehicle suitability (to fit VALD systems) can be discussed during interviews. Qualifications & Experience Background in sports performance (ATC, S&C, Exercise Science, or similar) New graduates welcome; preferred candidates have 2+ years of field experience Strong communication skills across in-person, virtual, and written formats Comfort with cold prospecting (drop-ins, calls, emails) Confidence engaging with professionals at all levels (students to executives) Experience using CRM platforms (HubSpot preferred) and Microsoft 365 tools Prior field sales experience is considered only if aligned with clinical background and having sold within subscription-based sales models Who Succeeds in This Role The strongest BDMs at VALD share two defining traits: Lifelong learners — curious, coachable, and driven to improve their craft. GRIT — able to handle rejection, fail forward, accept feedback without ego, and stay focused on long-term success. This role is well suited for: Health professionals seeking a career change into sales Early-career BDMs Mid-career sales professionals with relevant clinical and industry background Key Responsibilities Own and manage a defined sales territory, focusing on high schools Self-generate a sales pipeline through outbound prospecting and marketing driven inbound opportunities Conduct in-person and virtual product demonstrations & oversee client trials Work full-cycle sales opportunities in partnership with Contracts and Client Success Achieve monthly and quarterly quota targets based on quantity of systems sold Accurately manage pipeline activity using CRM tools (HubSpot experience is a plus) Represent VALD professionally at conferences, events, and industry meetings Compensation & Benefits Commission and on-target bonus structure Home office setup or co-working allowance offered Full VALD equipment demo kit, iPad, and a work computer Monthly expense reimbursement Monthly fitness and wellness allowance Medical, vision, dental insurance, and 401(k) It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team. Why VALD? At VALD, you’ll join a global team redefining how performance and healthcare professionals measure and improve human movement. We offer opportunities to learn from high-performing teams, collaborate across disciplines, and grow within a company that values curiosity, accountability, and impact. Semi-annual global team gatherings provide opportunities for professional development and connection, while our culture prioritizes inclusion, diversity, and long-term growth. VALD Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Conditions of Employment Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.

Location: Lisbon Workplace: onsite About Spin.AI Spin.AI is a SaaS security company headquartered in Palo Alto, CA, protecting organizations against SaaS ransomware, data loss, data leaks, risky third-party apps, and compliance gaps across their mission-critical SaaS applications. SpinOne is an all-in-one SaaS security platform that brings together backup and disaster recovery, ransomware detection and response, data loss prevention (DLP), and SaaS security posture management (SSPM) for Google Workspace, Microsoft 365, Salesforce, and Slack. With the acquisitions of Revyz (backup and recovery for Atlassian Jira and Confluence) and DoControl (SaaS data loss prevention), Spin.AI continues to expand its coverage of the SaaS stack. More than 1,500 organizations worldwide trust Spin.AI to protect their data. Learn more here . Position Summary: We are looking for an experienced, technically strong, customer-obsessed Customer Support Engineer to support our European customers. You will be the first technical point of contact for IT administrators, security teams, and MSP partners, helping them get the most out of the Spin.AI platform—from onboarding and configuration to troubleshooting backups, restores, security alerts, and integrations. This is a hands-on role for someone who enjoys solving complex problems, explaining technical concepts clearly, and building trust with customers. You will work closely with our Engineering, Product, Customer Success, and Sales teams, and your feedback will directly shape the product and our knowledge base. This role is based in our Lisbon, Portugal office. You will work from the office during the week, and weekend work is done remotely. Hours follow European business hours, with some overlap with our US-based teams. What You Will Do: Provide technical support to customers and partners via email, chat, and video calls, meeting response and resolution SLAs. Research, diagnose, and resolve issues across Spin.AI products, including backup and restore, ransomware protection, DLP, SSPM/app risk assessment. Troubleshoot integrations with Google Workspace, Microsoft 365, Salesforce, Slack, including admin consoles, OAuth/API permissions, and service accounts. Guide new customers through onboarding, setup, and best-practice configuration. Reproduce issues, gather logs and evidence, and escalate to Engineering with clear, well-documented tickets; follow through until resolution. Manage and document cases accurately in our ticketing system (Jira Service Management), ensuring proper recording and closure of all issues. Write and maintain knowledge base articles, FAQs, and internal tech notes. Act as the voice of the customer—share recurring issues, feature requests, and product feedback with Product and Engineering. Partner with Customer Success and Account Management on adoption, renewals, and at-risk accounts, and flag expansion opportunities you spot in customer conversations. Prepare timely reports on support trends and contribute ideas to improve support processes and tooling, including AI-assisted support. What You Bring: 4+ years of experience in technical support, IT support, or a customer-facing engineering role, ideally at a B2B SaaS company, with a track record of owning complex technical escalations from start to finish. Hands-on administration experience with Google Workspace and/or Microsoft 365 (Entra ID, Exchange Online, SharePoint, OneDrive, Teams). Working understanding of SaaS and cloud concepts such as APIs, OAuth, SSO/SAML, user and permission models, and data retention. Strong troubleshooting and problem-solving skills, with the ability to work through ambiguous issues methodically. Excellent written and spoken English (C1 or higher) and the ability to explain technical topics to both technical and non-technical audiences. Excellent client-facing skills, empathy, and a sense of ownership for the customer outcome. Self-motivated and organized, able to work independently, both in the office and remotely on weekends, and prioritize multiple issues in a fast-paced setting. Curiosity and willingness to learn the platform deeply in order to deliver fast, effective support. Based in Lisbon, Portugal, or willing to relocate, and eligible to work in Portugal. Nice to Have: Experience with Salesforce, Slack, or Jira. Background in cybersecurity, data protection, backup/recovery, or DLP. Certifications such as Google Workspace Administrator or Microsoft 365 Administrator. Scripting or technical tooling skills (e.g., PowerShell, Python, REST API tools like Postman). Experience with Jira Service Management, Planhat, or similar support and CS tools. Additional European languages (e.g., German, French, Spanish, Italian). Experience supporting MSPs or channel partners Room to Grow: We invest in our people and want this role to be a launchpad. Depending on your strengths and interests, there is a clear path to grow into: Customer Success Manager (CSM): own a portfolio of customer relationships, drive adoption and retention, run business reviews, and work on renewals and expansions. Solutions Engineer (SE): partner with our Sales team on new business—running technical discovery, product demos, proofs of concept, and answering security questionnaires and RFPs. Your deep product knowledge and customer experience from support give you a strong foundation for either path. Benefits: A dream team of highly motivated and talented people, with ambitious goals and challenges that require strong analytical and communication skills. Competitive base salary + bonuses. Office in Lisbon, Portugal, with remote work on weekends. Medical insurance. Clear career growth paths into Customer Success or Solutions Engineering. Conferences, training, certifications, and other professional development opportunities. Team-building events. Employee Wellness Program Unlimited PTO Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards.

Location: Nisku, Alberta HSE Administrator Full time, Permanent Nisku, AB Work with people who treat you like friends. Imagine an office where everyone is watching out for you because they know you’re watching out for them. Our company sees construction as a team sport, so we care about each other as a team. That level of caring filters through investments in local community groups and charities because we also care about the communities we work in. Michels Canada empowers your personal and professional growth, equipping you with the tools and support needed to create impactful solutions that shape a better future for others. About us: Michels Canada is a nationally recognized general contractor specializing in energy, infrastructure, and construction. Headquartered in Nisku, Alberta, we also operate offices in British Columbia and Ontario. We are part of the Michels Family of Companies. The Michels Family of Companies is a privately owned, global construction organization with operations across North America, Australia, Singapore, and Germany, headquartered in Brownsville, Wisconsin, USA. Description: The HSE Administrator provides administrative, document control, compliance tracking, and system support to the Corporate HSE department and project operations. This role is responsible for maintaining HSE management systems and documentation, administering HSE software and compliance platforms, coordinating audits and corrective action tracking, and supporting accurate HSE data and reporting. The HSE Administrator also supports the continuous improvement of HSE processes and helps corporate and project teams maintain compliance with applicable HSE requirements. Responsibilities: Maintain accurate records and filing systems for HSE documentation originating from corporate facilities and active projects. Provide administrative support to project teams for document submission, tracking, and retention requirements. Lead corporate document control activities, including maintaining master document registers, coordinating reviews and revisions, providing formatting support, and advising on approved templates. Maintain and continuously improve the Corporate HSEQ Management System, including coordinating annual HSE Manual updates, maintaining ERP documentation, and ensuring approved policies, procedures, standards, and forms are current and accessible. Administer Corporate HSE SharePoint sites, document libraries, and HSE management systems, including WorkHub, by managing projects, organizational structures, positions, user accounts, permissions, and system updates. Provide system training, guidance, troubleshooting, and ongoing support to corporate and project personnel to promote consistent system use, accurate data entry, and effective reporting. Monitor leading indicator requirements, track compliance, issue reminders, and coordinate corrective actions arising from incident investigations, inspections, audits, and observations through to closure. Coordinate HSE documentation for internal, external, and client audits, maintain audit records, and track findings and corrective actions. Coordinate HSE compliance documentation within contractor management platforms, including ISNetworld, Avetta, and similar systems, ensuring submissions, updates, and renewals are completed on time. Collaborate with the Risk Analytics team to validate HSE performance data and support the preparation of reports, dashboards, bid submissions, client proposals, presentations, and corporate communications. Coordinate HSEQ training programs and maintain accurate training and compliance records. Provide administrative and coordination support to Corporate HSE personnel and project teams, including reporting, document preparation, data entry, meeting coordination, and records management. Conduct periodic office, shop, and yard inspections and assist with incident investigations as required. Maintain inventory of HSE promotional materials, printed resources, and Mi-Promise coins, coordinating distribution to project sites and tracking quantities. Perform other related duties as assigned. Requirements: Post-secondary education in Occupational Health and Safety, Business Administration, Document Control, or a related field, or an equivalent combination of education and experience. 3–5 years of experience in HSE administration, management systems, document control, compliance coordination, or a related role, preferably within construction, oil and gas, or a similar industrial environment. Experience administering HSE management systems, databases, and digital platforms; experience with WorkHub, SharePoint, ISNetworld, or Avetta would be considered an asset. Knowledge of HSE management systems, document control practices, audit requirements, corrective action tracking, and regulatory compliance processes. Strong organizational skills with the ability to manage multiple priorities, maintain accurate records, and meet deadlines. Proficiency in Microsoft Office applications, particularly Excel, Word, and SharePoint, with the ability to maintain data, prepare reports, and support system administration. Strong written and verbal communication skills, with the ability to provide training, guidance, and support to corporate and project personnel. Strong attention to detail and the ability to identify discrepancies, maintain data integrity, and support continuous improvement initiatives. Ability to work collaboratively with Corporate HSE, project teams, and other departments. Ability to travel to offices, shops, yards, and project sites as required. Benefits: We offer competitive total compensation, meaningful and challenging work, and an engaging and collaborative environment. For more information on our company, please visit our website at www.michelscanada.com . We thank all applicants for their interest; however, only those under consideration will be contacted. For other opportunities at Michels Canada, join us at https://www.michelscanada.com/jobs/apply/ . It is our commitment to create a diverse workforce and an inclusive culture. We are proud to be an equal opportunity employer. All applicants will be considered for employment regardless their race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by applicable laws, regulations, or ordinances. If you need assistance and /or a reasonable accommodation due to a disability during the application or the recruitment process, please send us an email to: careers@michelscanada.com . No recruitment agencies, please! **Please be aware! ** It has come to Michels Canada attention that job seekers have received false employment offers from individuals or organizations posing as Michels Canada. Please keep in mind these important tips: Michels Canada does not require payment from anyone seeking employment at any time during the recruitment and/or selection process. All recruitment email correspondence comes from email addresses displaying the correct spelling of our company name: @michelscanada.com or @michels.us. Formal offers of employment are only made once the recruitment and selection process are complete. Personal and banking information is NOT collected until you have been personally onboarded by our HR team. We do not extend any formal offers of employment or execute employment agreements through text messaging, social media, job posting websites or social chat platforms. We take this matter seriously and are continuously working with the appropriate authorities. Please remain aware of this matter, report any suspicious outreach to your local authorities, and email any concerns to hrcompliance@michelscanada.com . Please note: resumes sent to this email will not be considered; please apply directly to our current career opportunities at https://www.michelscanada.com/jobs/apply . #Canada AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK)  | 💰£79,000 - £93,000 + Incentive Awards tied to your performance + Benefits About the team: Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us! Our Credit Model Validation team provides independent oversight and challenge to our model development teams in the first line of defence. We help Monzo grow safely and make sure the models we use are fit for purpose, appropriately governed and deliver good outcomes for our customers. You’ll join our validation squad and provide expert independent validation and oversight across a broad suite of credit models. This is a generalist role rather than one focused on a particular model type. You’ll work across models used for impairment, capital, stress testing, forecasting and credit decisioning, including IFRS 9 PD, LGD, EAD and economic response models; decision science scorecards and origination PD models; and Net Present Value (NPV) / unit economics models. Strong data and analytical skills are a must, as is broad expertise in credit risk modelling and model risk management. You’ll have hands-on experience in model validation and/or development within financial services, and be comfortable getting into the data and code to form an independent view across different model types. Your day-to-day Leading hands-on independent validation across Monzo’s credit model portfolio - covering models used for IFRS 9 impairment, capital and stress testing, forecasting, credit decisioning and unit economics - and making sure they are fit for purpose, appropriately governed and performing as expected Reviewing and challenging key model-led credit risk assessments, including impairment adequacy, ICAAP and stress testing, using independent analysis to assess assumptions, limitations and impacts Developing a deep understanding of Monzo’s credit models and how they are used, and using this to provide impactful input and challenge to model developers and users Contributing to making model validation more consistent, scalable and technology-enabled - building reusable analytical tools and tests, experimenting with AI-assisted approaches and helping the team embed them safely Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required Performing statistical analyses, model replication and challenger work where appropriate to test assumptions, assess performance and strengthen validation conclusions Improving and helping to embed our Model Risk Framework, including our policies, standards, model inventory, governance and validation approach. This means making sure we follow up-to-date regulatory expectations and that our processes remain proportionate and relevant as modelling techniques evolve Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees Partnering with colleagues in first line of defence credit strategy, modelling and finance teams - and with wider risk teams across Monzo - to support effective model governance and consistent validation standards across the organisation You should apply if you: Have a strong background and practical experience in credit model development and/or validation across a range of model types. You’ll have meaningful experience with IFRS 9 impairment, Internal Ratings Based (IRB) or other capital models, alongside broader exposure to several areas such as stress testing, economic response, forecasting, decision science scorecards or NPV / unit economics modelling Understand model risk management in practice, including independent validation, model governance, ongoing monitoring, model change and issue management, and how regulatory expectations apply across the model lifecycle Are impact-driven and want to improve how validation is done, not only complete individual reviews. You can turn repeatable work into practical methods, tools or guidance that improve quality and consistency across the team. Are curious about AI and automation, and can assess where they add value, the risks they introduce, and the controls and human oversight needed. Experience with AI-assisted analytical or coding tools is useful, but not essential Are data driven, with strong analytical skills and deep knowledge of statistical techniques for credit and model risk. Strong SQL and Python skills are essential. You can produce clear, reusable and tested code, using collaborative practices such as version control, peer review and documentation. Experience with Tableau, Looker or similar is a plus. Can assess models in the context of how they are used - including accounting, capital, credit strategy, risk appetite and customer outcomes - and can distinguish technical model performance from the wider risks of relying on the model Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge Our technology stack We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science and machine learning Go to write our application code AWS for most of our backend infrastructure The interview process: Our interview process usually involves up to four main stages via Google Meet: An initial call with our recruiter A call with our Senior Model Validation Manager, the hiring manager for the role A role-specific call with colleagues from our credit modelling and model risk teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview. A behavioural interview 🙌 What’s in it for you 💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits. 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out! #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Remote-Sao Paulo; Remote-Mexico City Workplace: Remote LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION The Senior Business Analyst (Sr. BA) helps lead complex, cross-functional automation initiatives and drives high-value automation opportunities across the enterprise for Banking and Financial Services Customers. This role operates with a high degree of autonomy and serves as a strategic advisor to business stakeholders, ensuring automation solutions deliver measurable business outcomes aligned to enterprise objectives. The Sr. BA goes beyond documenting processes — they identify transformational automation opportunities, influence solution design decisions, shape change adoption strategies and contribute to reusable assets and best practices that elevate UiPath’s internal automation maturity.   WHAT YOU'LL DO AT UIPATH Strategic Opportunity Identification & Business Case Development - Proactively identify and evaluate high-value, cross-functional automation opportunities aligned to enterprise strategy. - Assess feasibility, complexity, scalability, and ROI of automation initiatives. - Define and quantify business cases with measurable outcomes (cost savings, efficiency gains, risk reduction, quality improvement). - Act as a trusted advisor to stakeholders in prioritizing automation initiatives. - Contribute to building and sustaining a robust automation pipeline. Complex Process Analysis & Solution Shaping - Lead end-to-end discovery for complex processes, including detailed As-Is and scalable To-Be designs. - Collaborate with Solution Architects to influence high-level solution architecture decisions. - Ensure requirements are complete, scalable, and aligned to enterprise architecture standards. - Serve as a quality gate for functional documentation (PDD validation and requirement clarity). - Anticipate downstream impacts across systems, integrations, and operating models. Stakeholder Leadership & Influence - Lead workshops with senior stakeholders to shape automation vision and solution direction. - Communicate automation sources of value in business terms tailored to executive audiences. - Navigate ambiguity and resolve complex scope or requirement conflicts. - Act as the primary liaison between business stakeholders, Solution Architects, and Developers. - Guide and mentor junior Business Analysts when applicable. Delivery Oversight & Cross-Functional Collaboration - Partner with Solution Architects and Developers through design, testing, and deployment phases. - Facilitate alignment on scope, acceptance criteria, and business validation. - Independently manage analysis deliverables across multiple initiatives. - Proactively identify risks, interdependencies, and mitigation strategies. - Support Agile ceremonies and facilitate stand-ups as needed. Change Management & Adoption Strategy - Design and implement change management strategies to drive sustainable automation adoption. - Develop stakeholder communication plans that promote “automation-first” mindset. - Identify adoption barriers and implement mitigation strategies. - Ensure business readiness for deployment and post-implementation transition. Platform & Industry Expertise - Maintain strong knowledge of UiPath platform capabilities and emerging automation technologies. - Leverage enterprise application expertise (e.g., Salesforce, Workday, NetSuite, Concur, Coupa, etc.) to identify integration opportunities. - Stay current on automation trends and recommend innovative use cases. - Promote reuse of automation components and blueprint patterns. Knowledge Contribution & Continuous Improvement - Identify and document reusable solutions and process blueprints. - Contribute to best practices, methodologies, and industry points of view. - Develop internal case studies and success stories to promote automation impact. - Drive continuous improvement in BA practices and documentation standards. WHAT YOU'LL BRING TO THE TEAM - 8+ years of experience in business process analysis, operations consulting, or automation initiatives. - Experience working within the Banking and Financial Services Industry - Demonstrated experience in complex, cross-functional process transformation. - Experience with enterprise applications such as Salesforce, Workday, NetSuite, Concur, Coupa, etc. - Strong analytical and conceptual problem-solving skills. - Proven ability to influence senior stakeholders. - Experience working in global, cross-functional environments. - Bachelor’s or Master’s degree in Computer Science, Engineering, MIS, Business, Finance, Accounting, or related field. - Strong English speaking and writing skills are required. Preferred: - Knowledge of UiPath and Agentic technologies. - UiPath Business Analyst certification (Professional level preferred). - Experience in Agile methodologies and JIRA or equivalent collaboration tools. - Experience designing change management strategies. #LI-KS6 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

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: United States- El Paso, Texas Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Evaluates non-emergency work requests, develops scope of work, and inspects job location to determine job requirements. · Estimates labor hours, skillsets, parts, materials, equipment and special tools required to complete proactive jobs in a safe and efficient manner. · Gathers relevant technical documentation such as drawings, schematics, specifications, spare parts lists from equipment histories, OEM manuals and the Knowledgebase system. Verifies the availability of parts prior to scheduling the job. Arrange for special tools and auxiliary equipment when required. · Maintains an organized and prioritized work order backlog to determine the next highest priority jobs to be planned next and maintains the Ready Backlog at or above 80%. · Employs the continuous improvement process to update Job Plans for accuracy and effectiveness. · Conducts weekly planning & scheduling meetings with Production to determine work order priorities, communicate work order status and alter planned maintenance activities if necessary. · Creates a Weekly Technician Schedule that includes priority planned jobs and preventative maintenance tasks that utilize 100% of the available technician labor hours. · Improves work order planning and scheduling effectiveness through the review process and use of the maintenance metrics. · Maintains records and files essential to meaningful analysis and reporting of maintenance related matters. · Trains site employees on CMMS and ensures that it is working with integrity and is being utilized. Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: · Associate Degree required in a technical field with 1-3 years of maintenance scheduling / planning experience and/or 5 – 10 years as a machine repair technician, or equivalent combination of both · Familiar with industrial manufacturing environment · Electrical/mechanical aptitude · Proficiency with computers, maintenance systems, and applications including Microsoft Office · Excellent verbal communication, facilitation, and presentation skills · Ability to build and maintain positive, professional relationships Desirable KSAs: · Desire to develop leadership attributes · Experience in job plan development, job scheduling, and work execution · Project management and capital project experience preferred · CMRP certification · Green Belt certification · STS certification Competencies: · Drive & Motivation · Interpersonal Skills · Task Management · Strategic Skills · Customer Focus Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $74,001.31 — $94,641.16 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: United States- Starkville, Mississippi Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Performs mid to expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools. · Identifies and sources parts, supplies and repair items as necessary. · Independently performs maintenance as per industry standards. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Complies with 5S and housekeeping standards. · Drives and participates in CI activities - processes, results and cost savings. · Updates records and reviews CMMS history. · Troubleshoots and analyzes control systems to resolve software/ hardware and configuration problems. · Utilizes predictive maintenance technologies to collect equipment performance data. · Provides assistance to lower level technicians and leadership to small teams. Performs more advanced functions as a part of training and development. · Completes on-the-job and technical self-study programs for career development. · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities, & Behaviors Required: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 3 years of related experience in general industry; or 5 years of related experience in general industry or successful completion of the ATS Technician Progression Program. · Understands electrical, mechanical, fluid power and control systems. Can analyze problems and perform repairs. · Must be able to use basic hand tools and specialized tools as appropriate · May be required to travel. Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ​ ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $27.37 — $35.01 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: London, England; London, United Kingdom 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. About the Team Cx App Foundations is a platform organisation within our global Cx organisation. It provides shared consumer foundations and platform capabilities used by engineering teams across Wolt, DoorDash, and Deliveroo. Within this organisation, the Velocity team owns the paved road for consumer app development across mobile and web: shared SDKs and client foundations, integration patterns and multi-brand customisation, migration playbooks and reference implementations, and developer tooling that makes building on shared foundations fast and safe. Our mission is to reduce the cost, time, and risk of building consumer experiences across platforms and brands. Product teams own customer-facing experiences; our job is to make sure they can spend their time on delivering delightful experiences. The team is AI-native: AI is a default part of how we design, build, and ship software. About the Role As the Engineering Manager, you will lead a team of experienced engineers across mobile and web, collaborating closely with product teams, design, and adjacent platform organisations across three brands. Your primary responsibility will be owning the team's roadmap and delivery of shared client foundations, and driving their adoption across the organisation, so that product teams ship delightful customer experiences without rebuilding the foundations under them. You will be a key player in keeping the team's operating model healthy: clear intake from stakeholders, predictable delivery, and support expectations that keep the platform from drifting into a general escalation queue. You will also guide architectural and system design decisions with your tech leads. You will stay hands-on: contributing code, reviews, and prototypes alongside the team is part of the job. This role is ideal for a leader who has run platforms, SDKs, or shared services for other engineering teams, communicates clearly across brands and time zones, and wants their impact measured through what other teams achieve with the foundations you ship. Location: London, UK. This is a hybrid role, with 3 days a week in the office. What you'll be doing Own the platform roadmap - the shared SDKs, client foundations, and developer tooling the team ships - and sequence it against the migration and adoption goals of the three brands Drive adoption of the shared foundations by partnering with product teams, running onboarding and rollout support, and making the supported path the easiest path Lead, coach, and grow experienced mobile and web engineers, keeping growth conversations, calibration, and feedback loops running Keep the team's operating model healthy: clear intake (stakeholder management, shared-platform, product-specific, or exception work), supported capabilities with entry criteria and support expectations, and predictable delivery Guide architectural and system design decisions for client foundations that three brands and multiple app platforms depend on Stay hands-on by contributing code and reviews alongside the team, and champion AI-native development practices Grow the team through hiring What You’ll Need to Thrive You have 3+ years of experience managing engineers, including a team with senior engineers You have a solid background (5+ years) in mobile or web engineering, with enough technical depth to hold your own in architecture discussions about client foundations You use AI tooling fluently in your day-to-day work and stay close to the code You have run a platform, SDK, or shared service that other teams depend on, and know how to treat internal customers as customers You work across boundaries naturally: product teams, design, other platform organisations, data/analytics and stakeholders in other locations and time zones You hold a high bar for engineering quality and can navigate production incidents and release tradeoffs with calm structure 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: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. 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 .

Lunar is looking for a Senior Product Manager to shape and deliver real-time fraud and risk detection products.

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: France; Germany (remote); Spain Workplace: Remote OUR VISION We aim to become the most beloved financial Operating System for French SMEs and Accounting Firms — and soon, European ones. We help entrepreneurs get rid of time-consuming accounting and financial tasks while giving them access to the information they need to make better decisions for their business. ABOUT US Pennylane is one of the fastest-growing Fintechs in France — and soon in Europe. In five years, we have: - 💻 Built a groundbreaking accounting and financial platform for SMEs and accounting firms - 💰 Raised €225 million from leading investors, including Sequoia - 👨‍👩‍👧‍👦 Grown from 7 co-founders to more than 850 Pennylaners - 🌍 Built an international and remote-friendly environment with more than 25 nationalities - 🤝 Earned the trust of thousands of customers and accounting firms - 🚀 Reached more than 700,000 SMEs and 4,500 accounting firms in France WHY THIS POSITION IS CRITICAL TO OUR MISSION At Pennylane, Product is at the heart of how we create value for our customers. We are now making a major bet on AI: not only to automate existing workflows, but also to fundamentally change how people interact with their financial software and extend what the product can do. Our AI ecosystem is being built across several complementary layers: - A shared AI platform, or “harness”, that provides the foundations required to run reliable agents: context, memory, tools, skills, loops, guardrails and observability - Studio Coworker, a conversational product experience that helps users analyse information and take action inside Pennylane - Autopilot, which automates accounting and financial workflows to reduce manual data entry - Studio Builder, the product you will own, enabling users to build and deploy personalised apps, automations and agents on top of Pennylane Studio Builder is our most ambitious AI product initiative. The idea is simple but powerful: give customers the ability to extend Pennylane according to their own needs, without requiring them to build everything from scratch. Users should be able to describe what they want to achieve and rely on AI to create, configure and deploy the right experience directly within Pennylane. This could unlock a new way to use financial software: more personalised, more extensible and increasingly capable of adapting to every company’s specific workflows. As Senior Product Manager, AI, you will shape this product from the ground up. You will define the vision, understand where AI can create genuine customer value and turn a highly complex technical ambition into a simple, useful and scalable product experience. You will join one of the key teams shaping the future of Pennylane. You can also read more about Pennylane’s position at the intersection of AI, accounting and financial software in The New York Times https://www.nytimes.com/2026/10/23/business/dealbook/pennylane-ai-accounting-france.html. WHAT YOU WILL OWN THE VISION AND STRATEGY FOR STUDIO BUILDER You will define how Studio Builder should help customers create, personalise and extend Pennylane. You will identify the most valuable use cases, understand where customers struggle today and establish a clear product strategy that balances ambition, usability and technical feasibility. THE END-TO-END BUILDING EXPERIENCE You will own the experience through which customers: - Define what they want to build - Configure the relevant data, context, tools and actions - Test and iterate on their app, automation or agent - Deploy it within Pennylane - Monitor its usage and improve it over time THE FOUNDATIONS OF AN EXTENSIBLE AI PRODUCT You will work closely with the AI platform team to ensure that Studio Builder makes the underlying capabilities of Pennylane accessible and useful to customers. This includes thinking deeply about how users interact with: - Context and memory - Tools and skills - Agent loops and workflows - Guardrails and permissions - Reliability and observability - Deployment and iteration A CLEAR PRODUCT OUTCOME You will define the metrics that matter and establish how we measure success. Depending on the stage of the product, this may include: - Activation and adoption of Studio Builder - Number and quality of apps, automations or agents created - Successful deployment and repeated usage - Customer value generated through personalised workflows - Reliability, trust and user satisfaction - Expansion of Pennylane’s product capabilities through customer-built experiences HOW YOU WILL CONTRIBUTE AS A PRODUCT MANAGER You will work in a highly collaborative environment with Engineering, Product Design, AI specialists and other Product Managers. You will: - Lead continuous discovery with SMEs, accountants and internal users - Turn complex customer problems into clear product opportunities - Define the product vision, strategy, roadmap and OKRs - Explore and validate new ideas through prototypes, experiments and MVPs - Work closely with engineers and designers from problem discovery through implementation and iteration - Make AI concepts understandable and valuable for non-technical users - Build strong product narratives and communicate them clearly to customers, stakeholders and leadership - Balance long-term product ambition with pragmatic, incremental delivery - Collaborate with the teams building the shared AI platform, Studio Coworker and Autopilot - Develop strong product principles for building AI-powered experiences at Pennylane - Measure the impact of what you ship and use those learnings to guide future decisions - Influence without authority across a complex, fast-growing organisation This is a hands-on product role. You will not only define what should be built — you will actively explore, prototype, test and help make the product tangible. You will also have the opportunity to shape how Product at Pennylane approaches AI: how we build AI products, how we explain their value and how we create experiences that customers can trust. WHAT YOU CAN EXPECT DURING YOUR FIRST MONTHS WITHIN ONE MONTH - You will learn about Pennylane, our customers, our product and our vision during onboarding - You will build a strong understanding of the accounting and financial workflows we support - You will familiarise yourself with our AI ecosystem, including the shared AI platform, Studio Coworker, Autopilot and Studio Builder - You will meet key stakeholders across Product, Engineering, Design and AI - You will speak with customers and internal users to understand the problems Studio Builder should solve - You will develop an initial view of the product opportunity and its main risks WITHIN THREE MONTHS - You will have defined a clear view of the most important customer problems and use cases - You will have contributed to or shaped the Studio Builder product strategy - You will have identified the first key opportunities and product bets - You will have worked with Engineering and Design on initial prototypes or MVPs - You will have established the first product metrics and discovery routines - You will have started building strong relationships with the teams working on the wider AI ecosystem WITHIN SIX MONTHS - You will be autonomous in defining and steering the Studio Builder roadmap - You will have shipped meaningful product improvements or a major product milestone - You will have created a strong understanding of what drives adoption, value and trust in the product - You will have established a clear and repeatable approach to building AI-powered product experiences - You will have influenced how other teams think about and use AI capabilities across Pennylane AND BEYOND As Studio Builder scales, you will have the opportunity to: - Shape a new product category within Pennylane - Expand the platform to support increasingly advanced customer-built experiences - Influence the broader AI product strategy - Help establish product principles, methods and best practices for AI at Pennylane - Mentor other Product Managers and contribute to the growth of our Product organisation - Grow towards a broader product leadership role or continue developing as a senior individual contributor WHAT DO WE DO TO MAKE YOUR WORK LIFE EASIER? 🏢 You can work remotely from anywhere in Europe, as long as your contract allows you to. 📈 You will receive company shares to enjoy a piece of the success story you are building with us. 🏡 You will have a budget to improve your home workspace, as well as a monthly allowance to work from a coworking space. ⛹️ Through our partner Gymlib, you will have access to 8,000 fitness spaces in Europe and more than 300 wellness activities. 🇬🇧 You will have access to Busuu to improve your English or French. 💻 You will receive the latest Apple equipment. 🎉 You will be part of a vibrant social community, with sports activities, afterworks, company seminars and regular opportunities to spend time together. And if you are based in France: 🏢 You can work from home, from a coworking space or from our office in central Paris. 🏝 You will receive 10 additional days off on top of the standard 25 days. 🍜 You will receive lunch credits through a Swile card. 🏥 You will benefit from Alan Blue healthcare coverage for yourself and your family. We are working on providing these additional benefits to people based outside France as well, but the details may vary depending on the country and contract. WHAT DOES THE RECRUITMENT PROCESS LOOK LIKE? - You will first have a general conversation with a Talent Acquisition Manager — 45 minutes - You will then speak with a member of the Product team to discuss your experience and assess your fit with our Product culture — 45 minutes - You will complete a live case study focused on an AI or product-building problem with members of the Product and Engineering teams — 1 hour 15 minutes - You will have a final conversation with Product leadership — 60 minutes We move fast. You can expect the recruitment process to take between 15 and 25 days in total. WHO ARE WE LOOKING FOR? - Proven experience as a Product Manager working on AI-powered products, developer tools, platforms, workflow automation, SaaS or other complex B2B products - Experience taking a product or product area from 0 to 1, with the ability to turn an ambitious vision into a concrete and focused roadmap - Strong understanding of how AI products are built and used, including experience with concepts such as agents, LLM-powered workflows, tools, context, memory, evaluation or guardrails - Excellent product sense and a strong ability to identify where AI can create genuine user value — rather than simply adding AI for its own sake - A hands-on and pragmatic mindset: you are comfortable prototyping, testing ideas, analysing data and working closely with engineers and designers - Strong user research skills and the ability to build conviction through direct conversations with customers - Excellent communication skills: you can explain complex technical topics simply and create a compelling product narrative - Strong strategic thinking combined with a bias towards action and delivery - Ability to work effectively in ambiguity and navigate complex technical, organisational and customer problems - Ability to influence without authority and build alignment across Product, Engineering, Design and leadership - A strong interest in the future of software, automation and extensible product platforms - Experience in fintech, accounting or financial software is not required, as long as you are curious about our industry and comfortable with complexity - French is not mandatory, but it would be a strong advantage - Nice to have: experience with agent platforms, developer ecosystems, low-code/no-code tools, workflow automation, open platforms or product-led growth This role is for you if you want to build a new kind of product — one that allows customers to extend their financial software through AI and helps define how AI products should be built at scale. 🇫🇷 Données personnelles Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇬🇧 Personal Data Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇩🇪 Personenbezogene Daten Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇪🇸 Datos personales Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement