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Location: Lagos, Nigeria The Treasury Manager is responsible for managing Renmoney’s liquidity, funding, and treasury risk framework, ensuring adequate liquidity to support loan growth, optimizing funding costs, and maintaining strict compliance with CBN regulations applicable to finance companies and microfinance-regulated entities (where applicable). The role provides leadership in liquidity forecasting, scenario analysis, stress testing, funding strategy execution, ALCO support, and stakeholder management, while upholding the highest standards of integrity, governance, and regulatory compliance. Key Responsibilities 1. Liquidity Management & Forecasting Own and manage Renmoney’s daily, weekly, and medium-term liquidity position Develop and maintain cash flow forecasts aligned with loan disbursement and repayment cycles Ensure adequate liquidity buffers in line with internal policy and regulatory expectations Monitor liquidity ratios, early-warning indicators, and funding gaps 2. Scenario Analysis & Stress Testing Design, implement, and review liquidity stress tests and scenario analyses (base, adverse, and severe) Assess the impact of funding withdrawals, market shocks, and portfolio stress Recommend contingency funding actions and risk mitigation strategies Present stress-testing outcomes and recommendations to ALCO and Senior Management 3. Funding Strategy, Markets & Execution Develop and execute funding strategies across bank borrowings, Commercial Paper (CP), REPOs, and alternative funding structures Demonstrate a strong understanding of money market instruments and derivative products used for funding and risk management Monitor market conditions, pricing trends, investor appetite, and rollover risks Optimize cost of funds within approved liquidity and risk limits 4. Commercial Paper (CP) & Capital Markets Support the structuring, issuance, and management of Commercial Paper programmes Liaise with issuing houses, trustees, rating agencies, and investors Monitor CP maturity profiles and refinancing risks Ensure compliance with regulatory, documentation, and disclosure requirements 5. Banking & Counterparty Relationship Management Build and maintain strong relationships with deposit money banks, financial institutions, and market counterparties Negotiate funding lines, pricing, covenants, and terms Manage counterparty concentration and diversification Act as Renmoney’s primary treasury interface with banking partners 6. ALCO & Management Reporting Prepare and present comprehensive ALCO packs, including liquidity dashboards, funding analysis, stress-testing results, and market outlook Provide clear, actionable recommendations to ALCO Track and implement ALCO decisions and resolutions 7. Risk Management, Controls & Regulatory Compliance Ensure full compliance with CBN regulations, including requirements applicable to Microfinance Banks and finance companies (as relevant) Ensure adherence to internal treasury policies, approval limits, and delegation of authority Maintain strong treasury controls, segregation of duties, and audit trails Support internal audit, external audit, and CBN examinations 8. Stakeholder Management (Internal & Regulatory) Collaborate effectively with Finance, Risk, Compliance, Operations, and Business Teams Support engagement with regulators and respond to regulatory inquiries Translate regulatory developments into operational and policy actions 9. People Management, Ethics & Leadership Lead, mentor, and develop treasury team members Review and validate treasury analyses and reports Foster a culture of integrity, accountability, professionalism, and compliance Requirements Education Bachelor’s degree in Finance, Accounting, Economics, or Business Administration MBA or MSc Finance – added advantage Professional, Regulatory & Mandatory Certifications Mandatory / CBN-Recognised Microfinance Certification Programme (MCP) – mandatory or in progress, in line with CBN requirements for Microfinance Bank and regulated financial institution staff Professional Certifications (Strongly Preferred) CIBN (Associate or Full Member) ACI Dealing Certificate or ACT (AMCT / CTP) CFA (Level I or II) or FRM – added advantage Evidence of continuous professional development Analytical & Technical Skills Advanced liquidity modelling and forecasting Strong scenario analysis and stress-testing expertise Deep understanding of money market instruments, CP market, REPOs, and funding derivatives Strong quantitative and financial analysis capability Technical & Computer Skills Advanced Microsoft Excel (financial models, dashboards, sensitivity analysis) Strong PowerPoint skills for ALCO and senior management presentations Experience with treasury management systems and core banking platforms People Skills & Personal Attributes High ethical standards and integrity Strong leadership and mentoring ability Sound judgment and risk awareness Ability to work under pressure in dynamic environments Communication, Presentation & Stakeholder Skills Strong presentation skills at ALCO and the executive level Ability to explain complex treasury and market concepts clearly Strong negotiation and relationship-management capability 7–10 years of experience in Treasury, Financial Markets, or Banking / Non-Bank Financial Institutions Strong exposure to liquidity management, funding structures, CP issuance, and ALCO processes Experience in a microfinance or consumer lending environment is an advantage Key Performance Indicators (KPIs) Liquidity adequacy and stability Funding cost optimization Effectiveness of stress testing and scenario analysis Compliance with regulatory and treasury limits Quality of ALCO reporting and stakeholder engagement

Location: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Riyadh, Saudi Arabia The Project Manager is responsible for planning, executing, and overseeing operations and maintenance projects to ensure safe, efficient, and reliable plant and pipeline performance. The role requires strong technical expertise, leadership capabilities, and experience in gas plant and pipeline operations. Key Responsibilities Plan, manage, and execute operations and maintenance projects in line with company objectives and safety standards. Oversee daily operations and maintenance activities for plants and pipelines, ensuring optimal performance and reliability. Lead, supervise, and manage technical teams, contractors, and site personnel. Ensure compliance with health, safety, environmental, and regulatory requirements. Develop maintenance strategies, schedules, and budgets to minimize downtime and maximize asset life. Monitor project progress, manage risks, and implement corrective actions where required. Coordinate with stakeholders, vendors, and internal departments to ensure smooth project execution. Prepare and present reports on project status, performance metrics, and operational issues. Utilize SAP PM for maintenance planning, tracking, and reporting (preferred). Qualifications & Experience Education: University degree in Mechanical Engineering, Electrical Engineering, or Chemical Engineering. Experience: Minimum 8–10 years of relevant operations and maintenance experience. 3–5 years of hands-on experience in operations and maintenance of gas plants and pipelines. Proven supervisory and man-management experience. Technical Skills: Strong knowledge of gas plant and pipeline systems. Experience in maintenance planning and asset management. SAP PM experience preferred. Skills & Competencies Strong leadership and people management skills. Excellent problem-solving and decision-making abilities. Effective communication and stakeholder management skills. High commitment to safety and operational excellence. Ability to work under pressure and manage multiple priorities.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Usability Engineer for our Design Team. User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company. This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards. Location: This role will be based remotely in the EMEA region. The role entails Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings. Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research. Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder. Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows. Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable. Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach. What we are looking for in you Exceptional academic track record from both high school and university Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path. User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling. A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions. A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing. Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards. Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action. Nice to have skills Experience with Linux. Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management. Some experience with or interest in data analysis frameworks in Python (e.g. pandas, seaborn), R, MATLAB or similar. A proven track record of contributing to Open Source projects or communities. A passion for aesthetics, visualization, or design. What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Senior Design Researcher for our Design Team. User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company. This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards. This role sits in the design team reporting to the User Science Manager. Location: This role will be based remotely in the EMEA region. The role entails Conducting user research: Developing user insights in diverse formats, identifying and championing user needs across product areas. Sharing findings concisely and skillfully: Supporting different teams with well-matched research presentations and clear documentation systems. Promoting and shaping a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows. Building research scalability and interoperability: Owning research ops infrastructure, making key methodologies more accessible, actionable, and repeatable. Fostering a learning culture: Contributing to the evolving definition of User Science through user-centered training, resource development, and outreach. What we are looking for in you Exceptional academic track record from both high school and university Bachelor’s or Master’s degree in a related field such as Design, Human-Computer Interaction, Engineering or similar, or a compelling narrative about your alternative chosen path. Deep research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Exceptional depth in either qualitative or quantitative skills. Strong technical curiosity: An alignment with and interest in open-source culture and the ability to engage deeply with technical subjects and stakeholders. Proficiency in visual design and/or information design: Capability to translate complex data or ideas into strong, convincing visuals, ensuring that insights are both accessible and memorable. A talent for storytelling and collaboration: Outstanding ability to craft narratives that effectively explain research findings and resonate with diverse audiences. A knack for turning chaos into clarity: Meticulous organization and archivist skills, with the ability to transform scattered findings or disparate processes into cohesive, structured knowledge systems. Portfolio: A robust portfolio showcasing a range of user research and/or design projects that highlight the ability to derive actionable insights from research and directly influence 1) product design and strategy or 2) organizational change. What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production. This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue. The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more. Responsibilities Build and ship user-facing and/or backend features for Claude Security Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis Collaborate with research teams to identify and develop new model capabilities for security applications You may be a good fit if you: Contribute across the stack, from front-end UI to back-end infrastructure Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems Enjoy fast iteration and are energized by prototyping new ideas Are comfortable working closely with research and go-to-market teams Have strong communication skills and can work effectively across functions Have 7+ years of experience as a software engineer Strong candidates may also have: Experience building client-side terminal applications Experience developing cybersecurity products Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields Experience building skills, plugins, or hooks in Claude Code or similar tools Experience building with Claude Managed Agents or similar frameworks Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $405,000 — $485,000 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production. WHAT YOU’LL DO - Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond - Develop and test new data strategies, architectural variants, and training techniques - Design evaluations that measure model capabilities, and use them to drive model improvement - Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps - Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward WHAT YOU’LL NEED - 4+ years of experience in machine learning research or engineering - Familiarity with the architecture, training, and inference of large-scale multimodal generative models - Experience building robust data pipelines for pretraining and post-training - Comfort working across the full research stack: data, training, evaluation, and deployment - Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale - Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment - Excitement about building AI that simulates the world Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers. The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI. Key responsibilities Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events Minimum qualifications 5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS) Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI Driven, coachable, and on a steep growth trajectory Preferred qualifications Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators Familiarity with consumption- or usage-based commercial models and value-based pricing conversations Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement 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: $380,000 — $450,000 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: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking to bring on a Macro Analyst to join the London based research team. The role will be to work primarily with the Equity teams, however, DRW, as a multi-asset proprietary trading firm, provides the opportunity to collaborate in a wide range of products as well.  The goal is to work with trading teams to provide insight into Delta 1 and volatility pricing as well as the structuring of trades.  As a Macro Analyst, you will be responsible for understanding the current environment and market drivers and translating that into a forward-looking view.  We are looking for a results driven individual who enjoys the challenge of understanding a situation in a much greater level of detail than anyone else in the market.  In addition to providing daily research updates and real-time coverage for the traders, this role will be an opportunity to build a scalable process which can extend to sectors, indices, and cross asset coverage.  Another responsibility will be liaising with external data vendors to evaluate their products and working with software developers to implement a suitable database on which trade ideas can be generated.  Understanding the impact of events on derivatives markets will be a key driver of success.  This is a rare opportunity to be in a research role where ideas can be translated into trades quickly and efficiently and a chance to be associated with the resulting revenue stream. Responsibilities: Provide real-time analysis on relevant macro stories and headlines Work with traders to structure trades around the research process output Develop sector wide themes and macroeconomic thesis Maintain dividend and earnings calendars Create implied probability distributions around important events Work with Software Engineers to develop automated web scrapers and other data analytics tools Manage external relationships with investor relations teams, sell side research desks and data vendors Engage with the DRW hiring process in order to help build out the team Requirements: Strong understanding of financial markets and global macro themes Extreme attention to detail and accuracy Strong understanding of descriptive statistics Coding capability in R , Python, Matlab or similar statistical language Ability to synthesize qualitative and sometimes messy quantitative information, from often disparate and incomplete sources Experience working with large data sets Understanding of options pricing and greeks Confident communicator For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. ABOUT THE ROLE We are hiring a mid-level Data Engineer for our team.   Become a part of a team of data specialists who take care of massive amounts of data and groundbreaking technologies. Your work will be driving and empowering efficient and successful decentralised domain data ownership and data consumption, for example, around car pricing intelligence or deliveries. When needed, you can participate in the evolution and optimisation of our data stack, helping domains to ingest, process and consume data across the company. You will also play an active role in driving our agentic evolution roadmap. While being part of a central team of data engineers across Portugal, Poland and Spain, you will be embedded in cross-functional packs on a rotational basis. You will work closely with product managers, software engineers, product analysts, data scientists and regional business partners to identify and design new data projects and guide them through successful delivery and validation from end to end. What you will be doing: Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models Build, maintain, and improve rock-solid data pipelines using a broad range of technologies Support teams without data engineers in building decentralised data solutions and product integrations. Build data pipelines in our Lakehouse using Medallion architecture. Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation Cooperate with product teams to look for opportunities to integrate data into our end products and streamline source data so that data is cleaner earlier in the process Follow and promote data mesh principles around decentralised data ownership and ‘data as a product’ Promote and uphold privacy-by-design principles, ensuring sensitive data is managed in strict compliance with established security and privacy standards Increase data literacy of the engineering organisation by hosting training and mentoring other engineers (both less experienced data engineers and software engineers) Help advance agentic systems tailored for data engineering through the creation of specialized skills and agents. Who we are looking for: +2 years of experience building complex data pipelines and working with both technical and business stakeholders. Ability to think creatively; highly driven and self-motivated Master of SQL language regardless of the underlying data technology. Writes efficient, easy-to-read, and crisp SQL code. Familiarity with Medallion architecture. Experience with designing for scale and data growth in terms of storage and performance Business and product understanding (why over what) and the ability to deal with ambiguity Consistent track record of successful data projects delivered and managing their lifecycle Potential to build rock-solid Python applications - writes understandable and maintainable code Experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Spark, Trino, Iceberg, Airflow. Knowledge and curiosity about other big data technologies and tools Experience with analytics teams and translating business terms and KPI to technical requirements Experience with defining and measuring data quality such as Monte Carlo or Great Expectations. Familiarity with Claude Code and/or Cursor, skills and AI agents Excellent written and verbal proficiency in English Based in Poland Our hiring process: Recruiter Interview Hiring Manager Interview Technical Interview Our benefits: Permanent contract (we are not offering a B2B option) Salary + annual bonus up to 15% of your annual gross salary IP Rights’ Costs (tax-deductible costs up to 70%) Work with and impact all OLX websites across Europe Train and conference budget A benefits package with 330 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more 100% remote work (and the possibility to work from our offices in Poznan and Warsaw) Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Mountain View Veterinary Hospital - Lacey, Washington Mountain View Veterinary Hospital is looking to welcome a Full-Time or Part-Time Veterinarian to work at our practice. Our AAHA accredited hospital culture is created by colleagues that value your input, mentorship to help build your skillset and confidence, and a sizable support staff including six licensed veterinary technicians to help in the delivery of care. Why This Role Is a Great Fit for You Practice High-Quality Medicine - Our hospital is equipped to provide comprehensive care, allowing you to practice thoughtful, thorough medicine while building meaningful relationships with your patients and clients. Collaborative, Supportive Team - Work alongside experienced doctors and a highly skilled support staff, including licensed veterinary technicians, so you can focus on delivering the best care without feeling overwhelmed. Mentorship & Growth - We are proud to offer strong mentorship and collaboration, making this an ideal environment for new graduates or experienced doctors looking to continue growing their skills. Schedule & Flexibility Flexible scheduling options Full-time or part-time opportunities Designed to support work-life balance Rotating weekends required Compensation & Benefits Base Salary: $120,000–$150,000 (based on experience) Monthly production with no negative accrual Sign-on bonus Medical, dental, and vision insurance with HSA contribution Life and disability insurance 401(k) with company match Generous paid time off Robust CE allowance Reimbursement for license fees and membership dues Uniform allowance and more Life in Lacey, Washington Lacey offers an incredible quality of life with access to outdoor recreation, parks, and scenic beauty, while being just a short drive from Olympia and Tacoma for dining, culture, and entertainment. With a strong sense of community and a mild Pacific Northwest climate, it’s a wonderful place to live and work. About Lakefield Veterinary Group Mountain View Veterinary Hospital is proud to be part of Lakefield Veterinary Group, a family-owned organization that prioritizes autonomy, support, and a people-first culture. Our doctors are empowered to practice medicine their way, with the backing of a larger, supportive network. Ready to Join Us? If you’re looking for a supportive team, high-quality medicine, and a place where you can truly grow and thrive, we’d love to connect. To learn more about the hospital and position please contact Jessi Wootten at jessi.wootten@lakefieldvet.com or apply at careers.lakefieldvet.com .

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: As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $200,000 — $320,000 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: Utah | Hybrid Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties Our mission is simple: we want to set people free to do meaningful work. People love our software—and it turns out that people love working here too. We've been recognized as a "Best Company to Work For,” and we're proud of our team for creating software that makes an impact in the lives of HR pros and employees all over the world. BambooHR is seeking a Vice President (VP) of Engineering to translate the company’s technical vision into an executable engineering strategy and roadmap . In this role, you will partner closely with the CTO and cross-functional leaders to shape how our products are built and evolved, while leading a high-performing engineering organization through growth and AI adoption. You will balance long-term technical direction with day-to-day execution, ensuring reliable delivery, sound architecture, and disciplined investment as BambooHR continues to scale. You will: Act as a prominent role model for BambooHR’s values, championing a culture of trust, accountability, and data-driven decision making. Collaborate with strategic cross-functional partners to define and prioritize technical strategy, investments, and tradeoffs that advance the company mission. Own and clearly communicate the product and technology risk profile, including architecture, technical debt, scalability, execution, talent, and security risks, to the executive leadership team and Board. Communicate clearly and effectively with the Board, executive leadership team, and company-wide audiences, adapting message and format to context. Integrate the product roadmap, architectural strategy, and organizational health into a single, cohesive execution plan. Design and lead a scalable, high-performing engineering organization that delivers consistently and strengthens over time. Establish and evolve operating rhythms, development processes, and performance metrics that provide visibility into progress, risks, and outcomes and continuously improve execution. Lead the engineering organization through AI adoption, applying AI and ML to how software is built and to the value delivered to customers, while maintaining personal credibility in emerging practices. Own engineering budget, resource planning, and financial performance, ensuring disciplined investment aligned with company priorities and long-term strategy. Attract, hire, develop, and hold accountable strong engineering leaders, building a leadership team that improves over time. Translate complex technical, organizational, and strategic topics into clear narratives that align teams and drive action. Demonstrate sustained commitment to building a healthy, high-performing engineering organization. What You Need to Get the Job Done Senior executive experience owning technology strategy, delivery, talent, risk, and financial outcomes for a large engineering organization. Proven ability to scale and lead engineering organizations through growth and change while maintaining delivery and quality. Demonstrated experience applying AI and ML in a product development context, with sound judgment about where and how these technologies create value. Strong enterprise-level systems thinking, with the ability to align product vision, architecture, execution, and organizational health. Credibility with executive peers and Boards, including comfort communicating risk, tradeoffs, and investment decisions. Track record of building, developing, and retaining senior engineering leaders. Financial acumen sufficient to manage significant budgets and make disciplined, long-term investment decisions. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: London, United Kingdom Workplace: none Role: Student Success Team Manager Reporting to: Director of Student Success Direct reports: Student Success Tutors Location: London College of Contemporary Arts (LCCA) - Tower Hill & Aldgate - Cross Campus Salary: Competitive Role Summary London College of Contemporary Arts (LCCA) delivers industry-focused higher education across creative and professional disciplines, built on a progressive, student-centred learning and teaching methodology. The Student Success Team Manager leads and oversees the Student Success Tutor (SST) team, ensuring consistent, high-quality academic support across campuses throughout the student journey. A core focus of the role is data-driven decision making: interpreting engagement, attendance, assessment, and outcomes data to prioritise intervention, target team resource, and evidence impact on retention and achievement. You will be an experienced, people-focused leader who champions LCCA’s philosophy of experiential teaching, chunked learning, deliberate reflection, and precise feedback — turning insight into action and empowering a diverse team of tutors to help every learner achieve their full potential. Key responsibilities Leadership & Team Management Lead, supervise, and allocate the SST team across campuses, programmes, and levels of study. Set and review team and individual objectives through regular one-to-ones, appraisals, and performance management. Recruit, induct, train, and develop SST staff (including probation), and plan and deliver ongoing CPD. Act as first escalation point for complex academic cases and deputise for the Director of Student Success as required. Academic Support & Delivery Oversight Maintain current knowledge of LCCA courses and oversee 1:1 support, workshops, group sessions, and proactive engagement. Ensure SST guidance aligns with curriculum requirements, assessment frameworks, and learning outcomes. Set service standards for personal academic tutoring, SMART goal setting, and early intervention. Coordinate classroom cover and provide direct academic support where required. Data, Insight & Decision-Making Own the SST team’s use of engagement, attendance, assessment, and progression data to identify at-risk students and prioritise intervention. Translate data into decisions — targeting team resource, shaping workshops, and allocating support where it will have the greatest impact. Build and maintain dashboards and reports that give the team and senior management timely, actionable insight. Analyse outcomes and awarding gaps to drive service improvement and inform SMT decision-making, evaluating whether interventions worked. Collaboration & Signposting Work with academic, wellbeing, and careers teams to support engagement and progression, signposting to specialist teams as needed. Represent the SST team in cross-departmental meetings, committees, and working groups. Quality, Compliance & Improvement Lead continuous improvement of the SST model in line with institutional priorities and sector best practice. Ensure compliance with academic regulations, safeguarding, equality, and data protection, and completion of mandatory training. Support LCCA’s regulatory commitments: OfS Conditions B1–B3 and E2, and the QAA Quality Code (Student Engagement, Learning and Teaching, Assessment, Enabling Student Achievement). Qualifications & Experience Person Specification Essential : Bachelor’s degree in a relevant discipline. PGCE, QTS, or a recognised teaching / coaching / mentoring qualification (held or working towards). Leading, supervising, or managing staff in an academic or educational support setting. Delivering academic support and developing student success / retention initiatives. Using data and dashboards to monitor performance, target intervention, and produce insight-led reports. Teaching or supporting learners in FE / HE, and delivering staff CPD. Strong understanding of curriculum, levels of study, and assessment in HE. Strong leadership, people-management, and communication skills. Confident analysing data and translating insight into decisions and action. Proficiency with LMS, dashboards, and student data / support systems; commitment to inclusive education and widening participation. Student-centred ‘can-do’ approach; calm and credible under pressure. Evidence-led and analytical, with a commitment to continuous improvement and the values of the Group. Collaborative, inclusive, and proactive. Desirable : Master’s degree in a relevant discipline. Evidence of ongoing CPD (e.g., Advance HE Fellowship). Previous experience within a UK FE / HE institution. Personal academic tutoring and managing complex student cases. Contributing to quality assurance or regulatory compliance (OfS, QAA). Knowledge of the OfS regulatory framework and QAA Quality Code. Understanding of safeguarding and data protection in education. About you Empathetic, student-centred approach with strong commitment to equality, diversity and inclusion. Proactive problem-solver with attention to detail and sound professional judgement. Collaborative team player who can build positive relationships across academic and professional services. Adaptable and resilient with the ability to work effectively in a fast-paced environment. What we offer Competitive salary and pension scheme. Generous annual leave entitlement and access to flexible working arrangements. Professional development opportunities, including training and career progression pathways. Employee wellbeing programmes and access to counselling services. How to apply - application process Please submit a CV and a supporting statement outlining how you meet the essential criteria and your approach to student success. Applications should be made via our online careers portal by the closing date. We are committed to recruiting a diverse workforce and welcome applications from all sections of the community. We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees. We’re also committed to providing adjustments to those who may require support with the recruitment process - please contact the LCCA Talent Acquisition Team collegedivisionrecruitment@gus.global Please note: For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK ( www.gov.uk ). Please note we are not a licenced sponsor.

Location: Hybrid - London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About Startups @ Vercel The Vercel Startups org exists to help founders navigate the shift to AI-native development with confidence. Startups move faster than ever—what used to take years now happens in days—and the decisions founders make early can either unlock scale or become long-term constraints. We partner with startups at the critical moments where technical, commercial, and strategic support starts to matter most. We’re a talent-dense team made up of former founders, engineers, and experienced go-to-market operators who bring firsthand experience building, scaling, and supporting modern software companies. Many of us have sat on the other side of the table, making architectural decisions, navigating tradeoffs, and scaling under real constraints, and we bring that perspective into every customer interaction. We operate with a growth mindset and strong shared ownership. We dig deep to understand our customers, work closely across functions as one team, and find ways to win even when the path forward isn’t obvious. Resilience, curiosity, and a willingness to push through hard problems are table stakes here. This is a team for people who want to operate with high trust, high agency, and high impact — alongside peers who care deeply about helping startups succeed. About the role You are an expert in Vercel, you have incredible pattern recognition, and are at the bleeding edge of the tech and tools defining how we live and work. In this role, you'll help startups unlock Vercel's full value from adoption through scaling—building relationships with founders and technical leaders who are making critical architectural decisions. You'll analyze usage patterns to identify expansion opportunities, coordinate cross-functional teams to drive outcomes, and guide teams as they adopt AI-native architectures. By leveraging automation and AI to maximize your impact, you'll help refine early plays into repeatable playbooks that scale across our startup portfolio. If you’re based within commuting distance of our London office, the role includes in-office anchor days. What you'll do Build trusted relationships with founders, developers, and technical leaders by quickly developing deep understanding of their architecture, use cases, and technical constraints Landing new logos, driving early activation, and making Vercel the default choice before competitors get in Driving first activation, earning trust fast, and positioning Vercel as the obvious default stack Focus on pipeline generation, outbound, identifying high-potential startups early Partner with founders and developers as they adopt AI-native features and architectures, helping them understand how Vercel’s Frontend Cloud fits into a rapidly evolving developer ecosystem and supports new workloads, performance requirements, and scaling patterns Use automation, agents, and self-built workflows to operate at high leverage and focus time and energy on the most impactful customer work Operate comfortably in an evolving environment, helping refine early motions and turn what works into repeatable playbooks What you need We’re looking for someone who sits at the intersection of technical curiosity, commercial excellence, and startup mindset. You identify pattern recognition, have founder empathy, and have the ability to speak credibly to pre-seed through Series D companies and beyond who are making fast decisions. You might be a great fit if you’ve developed this skill set through a range of paths—whether as a builder, founder, engineer, or in a technical go-to-market role—and you bring strong judgment, ownership, and curiosity to how you work. In practice, this looks like someone who: Learns complex technical products quickly and enjoys reasoning about how modern web and AI-native applications are built and scaled Can speak comfortably with developers and founders, using their language and earning credibility through insight rather than titles Has strong sales acumen and experience owning revenue outcomes across a range of deal sizes and complexities Believes that the best revenue outcomes come from deeply successful customers, not transactional selling Brings a thoughtful, opinionated point of view on modern web infrastructure, frontend performance, and scaling tradeoffs Thrives in ambiguity and enjoys shaping how a team and motion evolves from early to more structured Is energized by ownership, accountability, and helping customers make smart decisions What This Role Is Not Not a pure Customer Success role focused on reactive support Not a transactional sales role detached from customer outcomes Not a highly scripted role with narrow ownership or predefined motions This role requires judgment, curiosity, and comfort operating across technical, strategic, and commercial dimensions. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Data Scientist -  Experimentation & Measurement San Mateo, CA Overview: As a Senior Data Scientist on the Decision Science team within the Data Science, Analytics, & Enablement (DSAE) organization at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of PS4 to PS5 user migration initiatives, growth marketing strategies, and broader campaign performance. This role is focused on advancing our experimentation practices—bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across PlayStation. What You’ll Be Doing: Lead the design, execution, and interpretation of A/B tests and quasi-experiments to evaluate the impact of user migration initiatives (PS4 to PS5), growth marketing strategies, and campaign performance. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Apply advanced causal inference methods when experimentation isn’t feasible or to inform test design and prioritization. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. Basic Requirements: Bachelor’s degree or equivalent. 5+ years of experience in a data science experimentation-focused role (3+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL for data extraction and transformation. Proficiency in Python, including statistical and data science libraries. Broad and applied knowledge of statistical techniques and machine learning modeling methods. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. #LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $178,900 — $268,300 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Data Scientist -  Experimentation & Measurement San Mateo, CA (Hybrid) Overview: As a Staff Data Scientist on the Decision Science team at PlayStation, you will take a leading role in designing and interpreting experiments that evaluate the impact of key initiatives and programs. You’ll help shape how millions of players around the world experience PlayStation by bringing statistical rigor, clear measurement strategies, and deep causal inference expertise to some of the most critical initiatives across the company. This highly visible role will advance our experimentation practices and ensure that data-driven insights inform the way we build, market, and evolve our products. What You’ll Be Doing: Design, execute, and interpret A/B tests and quasi-experiments, and apply advanced causal inference methods when experimentation isn’t feasible. Partner with cross-functional teams (product, engineering, marketing) to embed experimentation into development and iteration cycles and communicate results with the company’s senior leadership. Mentor and guide other Data Scientists, providing thought leadership and technical direction. Serve as a thought leader on best practices for hypothesis development, metric selection, test structure, and results communication. Help define and contribute to centralized experimentation frameworks, tools, and documentation to scale best practices across the company. Independently extract, transform, and analyze data from complex systems using SQL, Python, and other analytics tools. Communicate findings clearly to technical and non-technical stakeholders, helping drive business decisions with rigor and clarity. Stay current on new methodologies in experimentation and causal analysis, and bring fresh perspectives to the team’s work. Your insights will directly influence how PlayStation builds, markets, and evolves products across our ecosystem. Basic Requirements: Bachelor’s degree or equivalent. 6+ years of experience in a data science experimentation/causal inference-focused role (4+ with PhD). Deep expertise in A/B testing and causal inference, including quasi-experimental methods. Proficiency in SQL and Python for data extraction, transformation, and analysis. Broad and applied knowledge of statistical techniques. Experience with machine learning modeling is a plus. Proven ability to influence product and business decisions through clear, actionable insights. Experience contributing to or developing experimentation frameworks, best practices, or internal tooling. Preferred Requirements: Master’s or PhD in Statistics, Economics, or Econometrics. Other degrees in quantitative disciplines may be considered. Bonus: Interest in or knowledge of video games, gaming platforms, or player behavior. #LI-KC At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $212,200 — $318,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team. This is a hands-on leadership role, requiring the ability to enhance and implement batch and real-time data solutions already in progress, mentor other team members, and deliver both business and technical objectives through ambiguity and uncertainty. This is an opportunity to shape the future of our data ecosystem. You’ll work with a passionate team and modern technologies to drive innovation that impacts the entire organization. The ideal candidate thrives as an individual contributor, while making a significant technical impact and elevating the team’s capabilities.   To succeed as a Principal Software Data Engineer at PointClickCare, you need to be collaborative, adventurous and passionate. Collaborative means that you’re enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. Adventurous means that you’re not afraid to dive into uncharted technical territory and get your own hands dirty, while supporting and driving delivery of complex features through a dedicated Scrum team. Passionate means that you’re eager to learn and share knowledge that drives the team forward, and excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America.   What your day-to-day will look like: -Lead and guide the design and implementation of scalable distributed systems based on Java microservices -Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS -Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset -Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies -Drive adoption of best practices in data governance, observability, and performance tuning for data workloads -Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment -Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response -Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work   What qualifications we’re looking for: -Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming) -Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor -Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines -Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads -Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations) -Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools -Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments -Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark) -Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.   #LI-AV1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $167,700-209,600+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all USD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Belgium DEPLOYMENT STRATEGIST, BELUX - HYBRID - AGENTIC AI WHAT YOU'LL DO As a Deployment Strategist at Wonderful, you are responsible for making AI deployments actually land. Wonderful is the AI operating system for enterprises, helping them close the gap between what AI enables and how they operate today. You lead enterprise customers from early discovery through pilot and production rollout, translating ambitious AI initiatives into clear scopes, executable plans, and measurable outcomes. You sit between the customer, Forward Deployed Engineers, and Product, ensuring everyone is aligned on what is being built, why it matters, and how it will succeed in production. This is a hands-on role for people who enjoy ambiguity, ownership, and seeing complex projects through to the end. - Embed deeply with customers to understand their processes and systems, identify the most important problems to solve, and obsess over helping them win. - Lead discovery with enterprise customers to understand workflows, constraints, and success criteria. - Define scope, success metrics, and integration plans for pilots and rollouts. - Translate customer needs into clear deployment plans for engineering teams. - Coordinate deployments across Product, Engineering, and customer stakeholders. - Track progress, manage risks, and remove blockers throughout the deployment. - Support production launches and ensure solutions are adopted and working as intended. - Monitor deployed agents and drive follow-up improvements based on real usage. - Identify additional use cases and expansion opportunities with customers. You will spend time onsite with customers, working through real constraints, answering difficult questions, and ensuring solutions deliver real value. WHY SHOULD YOU - You’ll be part of what is tipped as the fastest-growing startup in Europe. - Work on a cutting-edge agentic solution, the hottest topic in Enterprise right now. - You’ll join a team of high-agency builders coming from the best tech companies out there. - Never boring - you’ll be solving problems for and with the biggest Enterprises in the world. WHO YOU ARE - Experience in deployment-focused, technical, or execution-oriented roles. - Strong ability to structure ambiguous problems and turn them into concrete plans. - Comfort working with technical concepts such as APIs, MCP, data flows, and system integrations. - Clear communication and strong stakeholder management skills. - High ownership mindset and bias toward action. - Interest in building and deploying AI-powered systems in real environments. NICE TO HAVE - Background in solutions engineering, technical consulting, or forward-deployed roles. - Prior hands-on engineering experience. - Experience supporting production software launches. - Experience working in high-growth or early-stage environments. WHY THIS ROLE EXISTS Enterprises are ready to use AI, but execution is the hard part. This role exists to bridge that gap. You will help customers deploy AI agents that integrate with real systems, respect real constraints, and deliver measurable outcomes. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice