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Location: Los Angeles, USA At Riot, we are investing in League of Legends to grow the game for generations to come. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches. As a Staff Machine Learning Engineer in League of Legends, you will build applied machine learning systems that directly improve player experience. You will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. Your work could span across personalized player experiences, in-game systems, and matchmaking. You will report to the Data Engineering Director in League of Legends and operate as a deeply embedded technical partner to the game team. You will also help strengthen craft standards, knowledge sharing, and technical quality across Riot’s growing ML engineering discipline. Responsibilities: Own end-to-end ML solutions for player-facing problems across personalization, game systems, and matchmaking, from problem framing through production launch and ongoing iteration. Set technical direction for a League ML domain and create reusable modeling, evaluation, and operating patterns that raise the bar beyond your immediate team. Build models, recommenders, ranking systems, and decision logic that help players discover the right champions, builds, modes, content, and return paths based on their needs and context. Develop ML approaches that improve in-game systems and matchmaking quality, balancing player experience, fairness, reliability, and operational constraints. Partner closely with product managers, designers, analysts, and engineers to shape ambiguous opportunities into clear technical plans and shipped player-facing features. Translate gameplay, behavioral, and product telemetry into reliable signals and evaluation frameworks. Design and run experiments to evaluate model quality, player impact, and system tradeoffs. Work directly with game and service engineers to integrate models into League systems and services, including helping define instrumentation and telemetry when needed. Operate independently across multiple partner groups, driving multi-month work with limited day-to-day oversight. Contribute to the ML engineering community at Riot through peer reviews, documentation, craft standards, and shared learnings. Help establish robust monitoring, observability, and support practices for live ML systems as they scale. Required Qualifications: Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles. Evidence that your modeling choices have been adopted beyond your immediate team — whether through reusable patterns, shared architectures, or influence on how others approach problems. History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply. Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction. Comfort with ambiguity — you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start. Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you. Excellent written and verbal communication. Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments is a plus. Experience bridging research and production — translating papers or prototypes into reliable shipped systems — is a plus. Familiarity with ML platform components (model serving, feature stores, ML observability) is a plus. Passion for player experience, games, or creative technology. Desired Qualifications: Experience building ML systems for games, live service products, consumer personalization, or other player-facing digital products. Experience with matchmaking, recommendations, multi-objective optimization, or other systems that must balance competing goals. Familiarity with causal inference, uplift modeling, contextual bandits, reinforcement learning, or other approaches useful for adaptive player experiences. Experience integrating models into latency-sensitive or high-reliability production environments. Experience defining telemetry or instrumentation needs in close partnership with software engineers. Familiarity with responsible AI practices, including fairness, safety, transparency, and operational trustworthiness. Comfort collaborating across a central craft organization and an embedded product team model. For this role, you’ll find success through: Strong applied ML craft Independent execution in ambiguous spaces Thoughtful collaboration with product, design, engineering, and Insights partners Decision-making that prioritizes player value and long-term system health For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Austin, TX Workplace: Hybrid 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Our SMB (Small and Medium Business) Sales Team is responsible for landing and expanding 1Password customers. As an SMB Account Executive, you will be responsible for managing a territory that includes target-accounts and an existing book of business that has companies of up to 1,000 employees. Your primary focus will be on hunting new business opportunities, building sales pipeline, and driving growth within the SMB sector. You will also be responsible for upselling into the existing account base, leveraging our Extended Access Management Identity. The successful candidate will possess exceptional skills in building and managing their own pipeline, engaging in multi-threaded relationships, and demonstrating expertise in account planning, territory management, and value-based selling. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Expectations of this role This is a hybrid role. You will be expected to work from 1Password's Austin office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 2+ years of SaaS sales experience, preferably in identity & security or privilege access management, with a focus on SMB or Mid Market accounts OR a top performing BDR with outbound experience and success ready to step up - Strong track record of meeting or exceeding sales quotas and KPIs. - Experience up-selling & cross-selling to both new customers and across your book of business - Proficiency in strategic account planning, territory management, and value-based selling. - Strong business acumen, communication & presentation skills to C-Suite - Meticulous operating-rigor when it comes to pipeline management, forecasting and pacing to target - Ability to understand and articulate complex cybersecurity concepts, particularly in Identity and Access Management. - Self-motivated, driven, and able to work independently in a remote setting. - Preferable proficiency with Salesforce, Slack, Zoom, Linkedin Sales Navigator & Outreach What you can expect: - Sales: - Own your territory and build and Maintain Pipeline: Develop a strong sales pipeline through proactive prospecting, cold calling, and networking. - Drive Sales Growth: - Achieve or exceed sales targets and KPIs, including: - Consistently meet or exceed quarterly sales quotas. - Maintain a high level of outbound activity, including calls, emails, and meetings. - Develop and close new business opportunities within your territory. - Upsell and Expand Accounts: Identify opportunities to upsell Extended Access Management to your Enterprise Password Manager Customers. - Cross-functional Collaboration/Team Selling: - Collaborate seamlessly with SDRs, Solutions, Onboarding and Customer Success Managers (CSM) to optimize client engagement and identify growth opportunities. - Engage in multi-threaded relationships within client organizations to enhance overall account health. - Value-Based Selling: - Implement value-based selling strategies to align our solutions with client needs and objectives. - Demonstrate a deep understanding of client pain points and position our offerings as strategic solutions. - Presentation and Negotiation: - Confidently present to C-suite executives, articulating the value proposition of our products and services. - Experience working with Mutual Action Plans to drive an agreed-upon outcome. - Utilize strong negotiation skills to drive mutually beneficial outcomes. USA-based roles only: The annual base salary for this role is between $68,000 USD and $95,000 USD, and is commission-eligible. This role is also immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🏝 Generous PTO policy 💖 Four company-wide wellness days Growth and future 📈 Company equity for all full-time employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🌎 Employee-led inclusion and belonging programs and ERGs 🏆 Peer-to-peer recognition through Bonusly You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA or London, UK (Hybrid) About the Role You’ll help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and efficient resource use. This role combines applied ML, inference optimization, evaluation, and production engineering, with a focus on benchmarking models, improving serving performance, validating quality, and building tooling that helps Cloudflare and its customers ship AI applications at Internet scale. Responsibilities Develop, optimize, and productionize machine learning models for Cloudflare’s serverless inference platform, with a focus on performance, reliability, and model quality. Build benchmarking and evaluation frameworks to measure latency, throughput, cost efficiency, and model behavior across LLMs, speech, vision, and other model families. Improve inference performance through quantization, batching, caching, model compilation, runtime tuning, and accelerator-aware optimization. Partner with systems engineers to integrate models into Cloudflare’s distributed inference infrastructure across a heterogeneous fleet of GPUs and next-generation accelerators. Drive improvements to model deployment workflows, including validation, rollout safety, observability, regression testing, and operational readiness. Collaborate with product and engineering teams to translate customer requirements into scalable ML capabilities for Workers AI. Mentor engineers, contribute to technical direction, and raise the quality bar for production ML engineering practices across the team. Desirable Skills, Knowledge, and Experience Experience building, optimizing, and operating machine learning models in production environments. Strong proficiency with Python and modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent. Hands-on experience with inference optimization techniques for large-scale models, including quantization, batching, caching, compilation, and serving runtime tuning. Experience with large-scale inference serving frameworks or runtimes such as SGLang, vLLM, TensorRT-LLM, ONNX Runtime, Triton, llama.cpp, or similar. Familiarity with LLMs, speech models, vision models, embeddings, multimodal models, retrieval-augmented generation, or other modern deep learning architectures. Experience optimizing models for GPUs or specialized accelerators. Strong understanding of production ML concerns, including evaluation, monitoring, model regressions, rollout safety, and reliability. Ability to work across ML and systems boundaries, including familiarity with distributed systems, networking, or serverless platforms. Track record of leading complex technical projects and mentoring other engineers. Bonus Points Experience contributing to open source ML tooling, model serving frameworks, or inference runtimes. Compensation Compensation may be adjusted depending on work location. F or Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Remote About the company: In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About the Role We're looking for a sharp, systems-minded Executive Assistant to support our Chief Investment Officer based in London, and 2 VPs (one in London and one in South Africa). You'll be embedded in a fast-moving, Slack-first culture where things change quickly, and attention to detail is the difference between smooth and chaotic. You'll be trusted with sensitive information and high-visibility communications that touch every employee at KoBold. We take hiring seriously, because we're building a team, not just filling a seat. If you move forward, you'll complete a timed written assessment designed to test your judgment, resourcefulness, and communication under pressure. From there, you'll interview with our EA team and, if you advance, with the executives you'd be supporting directly. We're a remote company, which means communication and collaboration aren't nice-to-haves. They're the foundation of how we operate. Our EA team is tight-knit and genuinely invested in each other's success, and we're looking for someone who will add to that, not just show up and do their own thing. The process takes time by design. We want to make sure this is the right fit for you as much as it is for us. Responsibilities Executive Support Own complex, frequently shifting calendars for two busy executives Coordinate meetings across time zones; manage last-minute changes without losing composure Arrange domestic and international travel including flights, hotels, and ground transport, and handle changes quickly Prepare agendas and briefing materials so executives walk into every meeting ready Take notes and track follow-ups when requested Handle expense reports, approvals, and administrative tasks with speed and accuracy Triage inbound requests and route communications through Slack and other tools Qualifications You're the kind of EA who doesn't need to be told what to do twice and doesn't need hand-holding to get things done. You can operate independently, manage competing priorities, and make smart judgment calls on your own. At the same time, you know that great EA work is a team sport. You're a natural collaborator who shows up for the broader EA team, shares context freely, and pitches in when someone else needs support. You communicate with precision: short, clear, no fluff, because you know everyone around you is busy. You're a natural relationship-builder who earns trust quickly and protects it fiercely. You treat sensitive information like it was your own. You bring positive energy to every collaboration and have a natural ability to motivate and enthuse the people around you, even when the work is demanding or the timeline is tight. You have a sunny disposition that's genuinely yours. You understand that you're often the messenger in the middle, and you don't take a curt Slack reply personally. Minimum Qualifications Based in London (close to Shoreditch is a plus!) 7+ years supporting senior executives, ideally two or more simultaneously, in a fast-moving environment Exceptional organizational and project management skills; you've owned multi-step workflows with multiple stakeholders before Flawless attention to detail; you're the person who catches the typo in the deck title Comfortable in real-time communication tools (Slack preferred) and quick to learn new systems Already experimenting with AI, or excited to learn Professional, discreet, and unflappable under pressure Available evenings and weekends when the situation calls for it A genuine team player who collaborates well with other EAs and pitches in beyond your immediate scope when needed We'd love for the right opportunity to bring you to KoBold someday. If you don't yet meet the minimum qualifications for this role, we'd encourage you to hold off and apply when the timing is right. Because our applicant tracking system retains application history, submitting before you're a strong match could affect how your profile is viewed for future roles. We'd much rather see you apply when you're set up to shine! Preferred Experience supporting U.S.-based executives or working in an American high-growth company Familiar with executives who work across evenings and weekends when necessary Comfortable working across time zones with global teams Experience with a culture of high ownership and responsiveness What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunities for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-Time Location: Remote, but must be London-based Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: Yerevan; Poland; Spain; Ukraine; Serbia Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness. Domain Focus Deep, current expertise in one or both of our priority verticals is a leading selection criterion: Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows. Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling. You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries. Forward-Deployed Delivery (FDE / FDX) Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other: FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos. FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment. Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential. Requirements: Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context. Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery. Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping. 5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms. Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements. Fluent English. A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must. GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders. Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks. Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs. Design thinking, data-driven decisions, strong communication and executive storytelling. Bias to action; thrives in ambiguity with structured problem-solving. Enough engineering empathy to earn credibility with senior engineers and architects on day one. Nice to Have: Second priority vertical beyond your primary FSI/HCLS focus. Prior experience in a Premier AWS or Anthropic partner environment. Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early. Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP. Software development background. What You'll Do: Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery. Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs. Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments. Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result. Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream. Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows. Break complex work into incremental releases; balance delivery against technical debt and architecture. Sprint-Enable-Realize engagement model. Lead Agile execution - backlog, sprint planning, release process. Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program. Define success metrics and analytics; drive continuous improvement and root-cause analysis. Support change management, enablement, and reusable playbooks so wins repeat across accounts. Why Join Us: Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact. Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment. Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers. Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks. Remote-friendly culture. Private medical insurance or sports coverage Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work.

Location: Canada Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Spain Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across e The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Israel Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United Kingdom, London 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. Department overview: At PlayStation, Data Science plays a critical role in shaping how we invest in, retain, and delight our global player base. The CLV team focuses on understanding player behaviour and driving more effective engagement across the player lifecycle — from acquisition and onboarding through to retention, monetisation, and long-term value. As a Data Scientist , you will develop models and insights that help drive more personalised player experiences and inform commercial and product decisions at scale. You will work in cross-functional teams to translate player behaviour into actionable strategies that drive measurable improvements in player engagement and value. This role is ideal for an individual who is comfortable owning problems end-to-end — from framing and modelling through to delivering impact — and partnering with stakeholders to support data-informed decision-making. What you’ll be doing: Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact. Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement. Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs. Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights. Clearly communicate findings and recommendations to both technical and non-technical audiences. Develop and expand your understanding of more advanced modelling approaches (e.g. deep learning and sequence-based methods) as part of solving increasingly complex problems. What we are looking for: You're curious, analytical, and a strong problem-solver, with a structured approach to tackling business problems. You bring strong foundations in modelling and data manipulation, and are motivated by applying these to impactful, commercial problems. Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting. Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership. Proficiency in Python and SQL, and familiarity with common data science and ML libraries. Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems. Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders. Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems. Experience working with large datasets to generate actionable insights. A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science). Nice to Have: Familiarity with production environments, MLOps, or data pipelines. Experience working with large-scale data using PySpark or equivalent distributed data processing tools. Experience in gaming, e-commerce, or subscription-based products. Benefits: Discretionary bonus opportunity Private Medical Insurance Dental Scheme 25 days holiday per year On Site Gym Subsidised Café Free soft drinks On site bar Access to cycle garage and showers Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. 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.

Relocate to Singapore. About Airwallex: Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 businesses worldwide with integrated solutions for business accounts, payments, spend management, treasury, and embedded finance at a global scale. Founded in Melbourne, with over 2,200 employees across 26 offices globally, valued at US$8 billion and backed by leading investors. Attributes We Value: We seek successful builders with founder-like energy, strong role-related expertise, sharp thinking, motivation by mission and operating principles, good judgment, curiosity, and ability to make decisions balancing speed and rigor. Candidates are humble, collaborative, able to turn ideas into real products, and use AI to work smarter. About the team: Join the Global Treasury Payment Network (GTPN) product team, responsible for Airwallex's core money-movement platform enabling global fund movement through accounts, wallets, FX, and direct debit rails. The team focuses on reliable, scalable products, rapid iteration, and career growth. What you’ll do: - Own full lifecycle of global money movement infrastructure: strategy, roadmap, partner assessment, solution design, delivery. - Leverage AI/ML insights to optimize payment routing, reduce transaction costs, detect fraud, and improve operational efficiency. - Communicate product strategy and prioritization based on user research, market insights, and competitive analysis. - Manage and mentor a high-performing team of Product Managers. - Collaborate with financial partners, engineering, operations, and commercial teams to build scalable, reliable, compliant infrastructure supporting high-volume transactions. - Serve as subject matter expert for money movement within Airwallex. - Rapidly iterate on product launches, feature enhancements, and customer feedback to improve speed, cost-efficiency, and customer experience. Who you are: Minimum Requirements: - Experience in Product Management or Engineering, especially in platform/infrastructure or technology domain, product design, planning, development. - 3+ years formal people management experience leading cross-functional teams. - Proven ability to balance user needs and commercial strategy to drive product growth. - Track record of taking products from ideation to delivery at global scale. - Strong analytical skills, data-driven decision-making. - Ability to manage tradeoffs between long-term vision and short-term growth. - Success in fast-paced, cross-functional teams delivering rapid execution. - Flexibility to work across global time zones. - Exceptional English communication skills. - Bachelor’s degree in Computer Science, Engineering, or related field. Preferred Qualifications: - Experience in hyper-growth startups, financial infrastructure, or technology domains. - Direct experience building payments or money movement platforms, or working with card schemes at global scale. - Robust understanding of money movement systems, ledgers, payments orchestration. - Familiarity with risk management, compliance, and regulatory requirements in fintech or payments.

Workplace: remote Requirements Strong experience in Python development Experience building LLM or agent-based applications using LangChain, LangGraph, or similar frameworks Hands-on experience with AWS Bedrock, including models, Agents, and tool/function calling Experience with AWS SageMaker and Bedrock Knowledge Bases Understanding of LLM limitations and practical challenges, including hallucinations, context management, and cost/latency trade-offs Experience designing end-to-end AI systems, including agent workflows and scalable AI services At least one real-world project involving AI agents deployed to production with measurable business impact or automation outcomes Experience creating custom tools/functions for AI agents Familiarity with evaluation, testing, and monitoring of LLM systems Strong communication and problem-solving skills English skills sufficient for technical communication and participation in project discussions Nice to have Hands-on experience with UiPath platform, including classic RPA and Agentic Automation Experience building and optimizing RAG pipelines (chunking, embeddings, retrieval tuning) Experience integrating AI agents with APIs, databases, and enterprise systems Familiarity with OpenSearch, vector databases, or semantic search solutions Experience with AWS Lambda, API Gateway, and S3 Experience deploying and supporting AI solutions in production environments Familiarity with AI governance, observability, or GenAI security practices Responsibilities Design and develop LLM and agent-based applications using modern AI frameworks and AWS AI services Build scalable AI workflows and agent orchestration solutions using LangChain, LangGraph, or similar technologies Develop and maintain integrations between AI agents, APIs, databases, and external systems Work with AWS Bedrock services, including models, Agents, and tool/function calling capabilities Support implementation of RAG-based solutions, including embeddings, chunking, and retrieval optimization Create custom tools/functions for AI agents and automation workflows Contribute to architecture decisions for scalable and production-ready AI systems Support evaluation, testing, monitoring, and continuous improvement of LLM-based applications Collaborate with cross-functional teams to prototype and deliver AI-powered automation solutions We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota; Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Aliya hh@itransition.com

Location: Ho Chi Minh City, Vietnam Workplace: remote ABOUT YOU We are looking for a Country Manager – Vietnam (HCMC-based) who is entrepreneurial, relationship-driven, and deeply embedded in Vietnam’s gaming and digital entertainment ecosystem to join our global leadership team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build and own Xsolla’s market presence in Vietnam from the ground up. Strong business development, stakeholder management, and operational skills are essential, along with experience in gaming, digital payments, or fintech in Vietnam or Southeast Asia. The ability to navigate local regulatory environments, grow a partner network, and translate global product strategy into regional success will be key to your success in this role. If you’re passionate about shaping the future of how games are published and monetized in Vietnam and love being at the intersection of gaming, payments, and platform infrastructure, we would love to hear from you!   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own and drive Xsolla’s commercial performance in Vietnam, including revenue growth, partner acquisition, and market share targets Build and expand relationships with game publishers, developers, and platform operators across Vietnam Lead local go-to-market strategy for Xsolla’s full product suite — including Webshops, the Merchant of Record service, and X.LA country pages Represent Xsolla externally at industry events, in partner meetings, and with local regulatory and government stakeholders Ensure all business activities comply with Vietnamese laws, including gaming regulations, taxation, data privacy, and payment licensing requirements Identify and close new business opportunities with game studios, publishers, and digital entertainment companies Collaborate with global product, engineering, and marketing teams to adapt Xsolla solutions to Vietnamese market needs and preferences Build and mentor a local team as the Vietnam operation scales Provide structured reporting on country performance, including partner growth, monetization metrics, and strategic insights Serve as the primary point of contact for Xsolla headquarters on all matters related to the Vietnamese market Qualifications & Skills Required: 10+ years of professional experience in gaming, digital payments, fintech, or digital entertainment in Vietnam or Southeast Asia Deep knowledge of Vietnam’s gaming market — publishers, regulatory landscape, payment infrastructure, and major platform operators Proven track record of business development and commercial success in a senior individual contributor or leadership role Strong network within Vietnam’s gaming and tech ecosystem Excellent verbal and written communication skills in Vietnamese and English Strong negotiation, analytical, and problem-solving skills Comfort operating with autonomy in an entrepreneurial, high-growth environment Preferred: Experience building and leading a country or regional team Prior experience with merchant of record, payment platforms, or game commerce Background at a publisher, platform operator, or digital entertainment company Understanding of mobile gaming business models and monetization strategies Experience navigating government relations and regulatory compliance in Vietnam Established relationships with Vietnamese game developers and publishers The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: New York, NY, USA; San Francisco, CA, USA About the Role As a mobile platform engineer, you'll help shape the future of Chime's React Native app, building the infrastructure and tooling that make development faster, safer, and more scalable for hundreds of engineers working alongside AI. You'll thrive in this role if you enjoy building for developers, solving complex technical problems, and multiplying your impact on others while delivering a best-of-class experience for our 10M+ monthly active members. In this role, you can expect to Build and maintain internal frameworks, developer tooling, and infrastructure. Collaborate with product and engineering teams to improve app quality, performance, and observability. Identify bottlenecks and deploy operational efficiencies to automate mobile CI/CD and release orchestration, reducing manual effort and increasing reliability. Design and improve tooling to reduce friction in the developer loop and maximize engineering velocity. Mentor engineers and raise the bar on technical standards, code quality, and delivery practices through design reviews, guidance, and example. Partner with QA to lead Chime’s mobile release process across iOS and Android. Build and scale AI-enabling app development  infrastructure to support increased product velocity. To thrive in this role, you have 5+ years of experience in cross-platform, mobile development,  ideally with React Native. A collaborative mindset, excellent communication skills, and a drive to document and share what you build. Strong fluency in TypeScript and familiarity with React, React Native. Experience with iOS and Android build, configuration, and distribution systems. Shipped apps that are used by millions of users. A track record of profiling and improving app performance. Familiarity with observability and analytics tools like Bugsnag, Datadog, Sentry, or Hex. Deep understanding of server-client architecture, leveraging GraphQL and performance profiling (e.g., memory pressure, screen latency, optimizing time to interactive, preloading). Experience with mobile build infrastructure platforms such as Bitrise, CircleCI, or GitHub Actions. Nice-to-have Experience with feature flag systems, runtime controls, or OTA delivery frameworks (e.g., Expo Updates, CodePush). Experience building the infrastructure that supports AI-native mobile development. Familiarity with state management tools like Redux, React Context, AsyncStorage, or MMKV. Scaled mobile quality practices and testing frameworks. #LI-Onsite #LI-WS1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $164,000 — $227,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and technical execution, and is energized by mentoring high-performing teams through complex, multi-program environments. What You’ll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for QTC and Finance Systems, covering Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform. Translate business strategy from Finance, Revenue Operations, Deal Desk, and Sales into sequenced, prioritized system capabilities with clear outcomes and success metrics. Balance competing program demands—stabilization, net-new capability delivery, and technical debt reduction—with transparent trade-off frameworks. Drive quarterly and annual planning ceremonies, partnering with Engineering Managers and Business Systems Analysts to align capacity with roadmap commitments. Stakeholder Partnership & Requirements Translation Serve as the primary internal product voice for all QTC and Finance Systems initiatives, partnering closely with Finance, Accounting, Revenue Operations, Deal Desk, and Legal. Lead discovery, requirements workshops, and business process design sessions to translate complex financial and commercial requirements into actionable system specifications. Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions. Navigate cross-functional stakeholder dynamics including SOX compliance, audit controls, and revenue recognition governance (ASC 606/IFRS 15). Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication. Model and instill product management best practices—user story writing, prioritization frameworks (e.g., RICE, MoSCoW), sprint review discipline, and outcome tracking—across the team. Partner with leadership to evolve the operating model of the team from project-execution-focused to product-thinking-led, raising the bar for how ETA delivers business value. Provide structured feedback and growth coaching to BSAs on career development, helping analysts grow toward senior and lead levels. Program Strategy & Delivery Oversight Lead product strategy for major multi-quarter programs (e.g., consumption-based billing iterations, CLM/Order Forms, Zuora Product Catalog refactors, ERP optimization) from discovery through go-live. Define and maintain program-level dependency maps across concurrent workstreams, surfacing risks early and driving cross-team resolution. Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release. Support post-launch stabilization and continuous improvement cycles, prioritizing defect resolution and incremental enhancements based on business impact. Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers to evaluate build-vs-buy-vs-configure decisions for new capabilities. Bring informed opinions on QTC platform architecture trade-offs (e.g., billing model design, middleware integration patterns, revenue recognition rule configuration) based on deep domain knowledge. Stay current on platform roadmaps for Salesforce, Zuora, and NetSuite, identifying opportunities to leverage native capabilities before custom builds. What You’ll Bring 8+ years of product management experience, with at least 3 years in an internal platform PM, enterprise applications PM, or systems product leadership role. Deep domain expertise in Quote-to-Cash systems: Salesforce CPQ, Zuora Billing, Zuora Revenue, and NetSuite ERP are the core stack—hands-on configuration or implementation experience strongly preferred. Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders. Strong command of revenue lifecycle processes: opportunity-to-quote, order management, billing and collections, revenue recognition (ASC 606), and financial close. Experience operating in a SOX-controlled environment with an understanding of audit trails, approval workflows, and change management requirements for financial systems. Track record of successfully running complex, multi-program delivery environments with competing priorities and shared engineering resources. Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs—without needing to write code. Experience with consumption-based or usage-based billing models About the team You'll be joining the Revenue Lifecycle & Finance Systems team within GitLab's Enterprise Technology Architecture organization. Our team is responsible for the systems and processes that power GitLab's entire revenue lifecycle—from configure-price-quote through contract execution, billing, revenue recognition, and financial close. We are in an exciting and demanding phase: transitioning GitLab's go-to-market from a pure subscription model toward consumption-based offerings while simultaneously modernizing our core platforms. This role will be central to shaping how that evolution happens—and how the team grows in capability and product maturity alongside it. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $235,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Argentina; Uruguay; Colombia AI Senior Support Engineer Hours: Aligned to Chicago time (CT) · Engagement: 80 hrs/month, full-stack + data stack remit About the Role Altoros is staffing a Senior Support Engineer for a client engagement supporting an analytics platform. This is a full-stack and data-stack role: the engineer owns the platform shell, the ingestion and semantic layer, and a bounded amount of embedded analytics component upkeep. The role is commercial-model first: month one is an observe and define phase (baseline setting, onboarding), with the engagement shifting toward outcome-based delivery from month two (issue resolution time, defect reduction against baseline, availability targets). AI-augmented delivery is central to this role and one of its most important elements. Working AI-first with Claude Code is how a single engineer credibly covers this full remit. Altoros builds its delivery on Anthropic's professional courses and certification, and the engineer uses Claude Code across the full range of work — maintenance, bug-fixing, and data work, not just new development — operating inside the client's own Claude Code / AI-tooling accounts. Scope & Responsibilities Platform Shell Maintain and extend authentication and SSO integration Own navigation and application shell components (modern front-end framework, e.g., React / TypeScript) Manage tenant and user management, including multi-tenancy considerations Data & Semantic Stack Build and maintain data ingestion pipelines Operate and extend orchestration workflows in Dagster Develop and maintain transformation logic in dbt and SQL Work with the data warehouse on Google Cloud Platform (GCP), primarily BigQuery Maintain the semantic layer in Cube, including metric definitions and data modeling Embedded Analytics (light, bounded) Customize and update Embeddable component files pulled into the client's repo Maintain theming and keep the Embeddable SDK current Note: Embeddable itself handles the builder, embed serving/rendering, security tokens, and multi-tenancy: this is a maintenance layer, not a build-from-scratch effort Delivery & Documentation Maintain centralized documentation in Confluence, including DBML/database diagrams Capture ongoing knowledge for handover and continuity purposes Work to defined outcome targets from month two: P1 issue resolution/mitigation within one business day, defect reduction against an agreed baseline, and business-hours availability once the client is live Use spare capacity (when live issues don't consume the monthly band) on preventative maintenance, hardening, and onboarding new data sources/integrations Required Skills & Experience AI-first delivery (core requirement): hands-on with Claude Code (or similar) / AI-assisted engineering across the full development lifecycle; Anthropic's professional courses and certification are a strong plus (or readiness to complete them) Full-stack development experience, including a modern front-end framework (e.g. React / TypeScript), authentication/SSO implementation, and multi-tenant application architecture Hands-on experience with Dagster for orchestration (or similar tools) Strong DBT and SQL experience for data transformation Experience with BigQuery and the Google Cloud Platform (GCP) data stack Experience with Cube or a comparable semantic-layer / metrics-layer tool Familiarity with embedded analytics tooling (Embeddable or similar), component customization, theming, SDK integration Comfortable working independently and engaging directly with client stakeholders Strong documentation discipline: Confluence, DBML/ER diagrams Available to work core hours aligned to Chicago time (CT) Nice to Have Background supporting analytics/BI platforms for enterprise or sports/media clients Experience setting SLA style targets (resolution time, availability) and reporting against them Engagement Details 80 hours/month, full remit across platform shell, data/semantic stack, and Embeddable upkeep Backup coverage required for continuity during absences: candidate should be able to hand off context cleanly

Location: San Francisco, CA, USA About the role Chime Engineering is growing rapidly as we scale to support the financial needs of our members. We are looking for driven engineers to join our Membership team, where you'll work across the full stack, building and evolving the features that deepen member engagement, drive retention, and deliver ongoing value through Chime's membership experience. You will own projects end-to-end, from shaping architecture and designing APIs to building polished front-end experiences and maintaining the ongoing health of the code. In this role, you can expect to Design, develop, test, and scale features across backend services and front-end surfaces that power membership benefits, rewards, and engagement experiences Build and iterate on APIs and UI components that deliver a seamless, high-quality member experience in Chime's mobile app Partner with product, design, data science, and cross-functional stakeholders to understand member needs, define experiments, and ship solutions that move key membership metrics Apply a metrics-driven mindset to decision-making and prioritize efforts based on member and business impact To thrive in this role, you have 2+ years developing software in a production environment at scale Proven experience with Ruby on Rails or comparable frameworks Familiarity with modern front-end technologies (e.g., React, React Native, or TypeScript-based frameworks) A product mindset with a strong bias toward experimentation, iteration, and measuring impact A collaborative spirit and strong communication skills, with experience working cross-functionally Experience working with transactional databases, caching systems, and API design Comfort working across the stack and an eagerness to learn new technologies Experience with experimentation frameworks and data-driven product development is a plus #LI-AC2 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $133,000 — $184,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .