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Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Compliance team at Payward plays a critical role in enabling the company to grow responsibly while navigating a rapidly evolving regulatory environment. Our teams work across jurisdictions and product lines to design and maintain scalable compliance frameworks that support Payward’s mission while ensuring regulatory obligations are met. The Financial Intelligence Unit (FIU) Scale Team is responsible for ensuring the FIU can scale, across new operating jurisdictions and new products, effectively and efficiently. The team leads AML transaction monitoring and blockchain monitoring to ensure thresholds are appropriately set, tested, and governed while reducing false positives and maintaining strong oversight. In addition, the team focuses on identifying efficiencies in process workflows and implementing automation across the FIU. Scale works closely with external vendor, Compliance, and internal technology teams.     THE OPPORTUNITY - Lead transaction monitoring optimization, including rule testing, threshold tuning, and the design and rollout of new monitoring scenarios to improve detection quality and reduce false positives - Identify and drive automation and workflow improvements across FIU processes to increase operational efficiency and effectiveness - Evaluate and implement emerging technologies, including LLM and AI-enabled tools, to enhance alert triage, investigations, SAR filing and FIU operational capabilities - Partner with Product, Engineering, and Operations to support vendor integrations, monitoring infrastructure improvements, and FIU tooling enhancements - Collaborate with Compliance leadership, including RCOs and MLROs, to maintain well-governed transaction monitoring frameworks aligned with regulatory expectations - Support FIU scalability by designing processes and monitoring strategies that enable expansion into new products, regions, and increased transaction volumes     WHAT YOU BRING - 5+ years of experience in AML, financial crime compliance, or FIU operations, with deep knowledge of transaction monitoring frameworks, suspicious activity detection, and regulatory expectations under BSA/AML regimes - 3+ years of experience designing, testing, and tuning transaction monitoring rules, including threshold optimization, scenario design, and alert reduction strategies - 3+ years of experience working with transaction monitoring systems and compliance tooling, including case management platforms, monitoring infrastructure, and investigative workflows - Experience working in a regulated financial institution, preferably one licensed to operate in the EU, UK, and/or United States - Experience driving process optimization or automation initiatives within compliance or financial crime programs to improve operational efficiency and scalability - Experience working cross-functionally with Product, Engineering, Data, or Operations teams to implement monitoring controls, vendor integrations, or compliance technology solutions - Strong analytical and data interpretation skills, with experience using metrics, dashboards, and data analysis to evaluate monitoring effectiveness and improve detection quality - Experience operating in fast-growing fintech, payments, or crypto environments, with the ability to design scalable compliance controls that support new product launches and geographic expansion - Experience working with AI, machine learning, or LLM-enabled compliance tools, including investigative automation or alert triage technologies - Familiarity with blockchain analytics tools such as Chainalysis, TRM Labs, Elliptic, or similar crypto investigative platforms - Experience supporting vendor selection, implementation, or integration of regtech solutions     NICE TO HAVES - ACAMS, CAMS-Audit, CFCS, or similar financial crime certifications       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, United Kingdom Workplace: hybrid Compensation & Benefits Manager Location: London Reports to: Head of HR, Global Works closely with: People Team & Finance Team About Us Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re unifying the best of business banking. We deliver services across: Global payments and receivables Foreign Exchange (FX) Treasury management Finance reconciliations We are rapidly expanding, with established presence in EMEA, APAC, and North America.  Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments. The Role This is a highly cross-functional role: you’ll work closely with Finance, including the CFO and Head of FP&A, to ensure our reward decisions are commercially sound and financially sustainable. Key Responsibilities Compensation Develop and maintain salary structures, job levels, and pay bands using market data and benchmarking Lead annual salary review, bonus, and equity/long-term incentive cycles, including modelling, budgeting, and communications Advise managers and People Partners on offers, promotions, and pay adjustments Run job evaluation and levelling to ensure internal equity and consistency Conduct regular pay equity analysis, and gender and ethnicity pay gap reporting where required Finance Partnership Work closely with the Head of FP&A to develop and maintain accurate salary and employee benefits cost forecasts and budgets, including salary reviews, bonuses, employer taxes, pension contributions and other employee-related costs, in collaboration with the Talent team. Partner with the CFO on reward strategy, providing financial modelling and scenario analysis to support decisions on pay budgets, incentive plans, and equity Partner with Finance to develop salary review and bonus budgets, and manage the annual compensation review process to ensure proposed awards align with agreed budgets Collaborate with Finance on the tax treatment of equity, bonus accruals, and benefits costs Provide regular reporting to Finance and the CFO on people costs, pay competitiveness, and cost-versus-value of benefits Support Finance with business cases, ROI analysis, and board or investor materials relating to reward Benefits Manage the full benefits portfolio (e.g. pension/retirement, health and life insurance, wellbeing, leave, and flexible benefits) Manage relationships with benefits brokers, insurers, and providers, including renewals and tenders Evaluate new benefits offerings and monitor take-up and employee satisfaction Ensure benefits communications are clear, accessible, and engaging Governance and Analytics Ensure compliance with employment, tax, and pensions legislation across all operating locations Build dashboards and reporting on compensation costs, pay competitiveness, and benefits utilisation Support the remuneration committee or leadership with data, proposals, and market insights Own relevant policies, documentation, and audit readiness Operations and Projects Partner with Finance on headcount planning, budgeting, and cost forecasting Work with Payroll and HRIS teams to ensure accurate data and smooth processes Contribute to M&A, international expansion, and organisational design work from a reward perspective Requirements Essential 5-7 years of experience in compensation and benefits, reward, or a related HR analytics role Strong analytical and financial modelling skills, with advanced Excel/Google Sheets Hands-on experience with salary benchmarking tools and surveys (e.g. Radford, Mercer, Korn Ferry, Willis Towers Watson) Solid knowledge of employment, tax, and benefits regulations in relevant jurisdictions. Experience running an annual pay review cycle end to end Excellent communication skills, with the ability to explain complex topics simply to employees and executives High attention to detail and strong judgment when handling confidential data Desirable Experience in fintech, technology, or a high-growth environment Experience with multi-country reward and equity plans Familiarity with HRIS and compensation platforms (e.g. BambooHR and Pave) Experience with pay transparency and pay equity regulations Key Competencies Commercial and business-minded Confident influencing senior finance and executive stakeholders Data-driven and analytical Fair, ethical, and discreet Collaborative and consultative Comfortable operating with ambiguity and changing priorities Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in. Sokin is an equal opportunities employer and committed to maintaining an inclusive work environment. As a growing global startup with bases across multiple countries, we were established on and continue to promote an agile, flexible working culture. Please reach out to discuss any accommodations you may require during the recruitment process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Supabase is the backend of choice for a growing wave of AI-native builders, and we're deepening structured partnerships with the platforms they build on top of — Anthropic, OpenAI, Vercel, and Lovable. These partners' teams are talking to thousands of developers and agents who need exactly what we build—a full backend platform with Postgres at the core—without the vendor lock-in. This is an opportunity to get Supabase in front of the right partner SAs and make us the default recommendation for a modern, AI-ready backend. ABOUT THE ROLE We’re looking for a Platform Solutions Architect to join our Success Team and help embed Supabase into the Solutions and Engineering communities with AI Builders. You’ll work closely with Partner Solutions Architects and Partner Engineers at Anthropic, OpenAI, Vercel, and Lovable, helping us proactively identify builder problems where Supabase is the right solution and closing the gap between partner intent and real developer outcomes. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions of AI-native apps and agents. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll focus on three core pillars: TECHNICAL EVANGELISM & EDUCATION - Build deep relationships with Technical counterparts at Anthropic, OpenAI, Vercel, and Lovable, focusing initially on defined use cases and agent/app-migration motions. - Develop and deliver technical workshops, training materials, and enablement content to give partner SAs the fluency to position Supabase. - Create demos, integration guides, and reference architectures that make Supabase’s fit with Anthropic, OpenAI, Vercel, and Lovable immediately legible. - Partner with SAs at these companies on active opportunities to move deals forward and feeding technical pipeline intelligence back to the alliance lead. TECHNICAL SUPPORT & ENABLEMENT - Resolve blockers for partner SAs working on Supabase implementations to maintain their credibility with the builders they support. - Troubleshoot complex integration scenarios and turn solutions into reusable assets. - Maintain a close feedback loop with Supabase product and engineering teams to ensure technical guidance reflects the latest platform capabilities. - Measure success through co-sell opportunities sourced, influenced deals, and SA enablement metrics across the Anthropic, OpenAI, Vercel, and Lovable partnerships. CONTENT CREATION & THOUGHT LEADERSHIP - Write technical blog posts and case studies that demonstrate real-world Supabase implementations built on Anthropic, OpenAI, Vercel, and Lovable. - Represent Supabase at conferences, meetups, and partner-sponsored events (e.g. Anthropic and OpenAI dev days, Vercel Ship, Lovable community events). - Develop video content and interactive learning experiences to reduce the "time-to-fluency" for partner SAs. YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of experience in technical roles with deep hands-on experience building on modern AI infrastructure. Previous experience working at Anthropic, OpenAI, Vercel, Lovable (or a similar AI builder platform) or as a partner to one is required. - Understand how partner SAs at AI builder platforms are incentivized, how they make recommendations, and how the partner ecosystem influences developer decisions. - Communicate clearly across both technical and non-technical audiences, explaining complex concepts with ease. - Have a strong technical foundation in PostgreSQL, APIs, and modern development frameworks like React and Next.js, plus fluency with AI/agent tooling (LLM APIs, MCP, agent frameworks). - Are comfortable navigating ambiguity and moving quickly to build a playbook from scratch. - Are energized by solving real-world problems for developers building the next generation of AI-native products. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Global Trade Support team provides mission critical support for many of our proprietary and third-party trading systems as well as our proprietary middle and back-office systems.  They support a wide variety of trading teams globally who are participating in markets such as equities, fixed income and cryptoassets.  They perform technical support and engineering functions that include application support in testing and production environments, software deployment and configuration, and system monitoring. What you’ll do in this role: Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes, and proactive monitoring, with a goal of anticipating and avoiding issues before they occur, minimizing downtime and quick recovery from any incidents. Ensure maximum trading system availability to avoid missing any key trading opportunities Provide support for various trading groups’ production systems across a variety of asset classes and geographic locations deployed across a multi-platform production environment (primarily Linux with a little Windows) Develop proprietary process automation and monitoring tools and leverage third-party technologies as appropriate Troubleshoot trading system production incidents resulting from internal (proprietary software / systems) or external factors (markets, data feeds, telecommunication lines) Automate software configuration and rollout procedures to reduce manual configuration errors and strive for flawless change management Support core market connectivity and correspond with exchanges regarding trade order activity, connectivity, and other related technical support issues Collaborate with traders, DBAs, development, back office, QA, infrastructure, technical support, business development and various management teams around the globe. Help end users and developers understand core trading and back-office systems to ensure efficient and correct use of available tools. Build documentation for common procedures, troubleshooting scenarios and system architecture. Coordinate efforts with other global support teams to ensure continuity and consistency of support in a 24x7 environment What’s needed in this role: Superior troubleshooting skills and the ability to navigate issues efficiently that do not have a pre-defined runbook process Prior experience supporting high performance applications, process monitoring, and troubleshooting Prior experience supporting equities/equity options trading Prior experience working with FIX protocol and alternative exchange protocols Script development experience a plus SQL experience including queries/updates/table creation/basic database maintenance Linux & Windows platform support experience in a large-scale production environment Experience supporting electronic trading systems; prior experience at proprietary trading firm preferred Demonstrated knowledge of network communications, including use of multicast networking Must have some flexibility in work schedule to help ensure team coverage; rotating on-call coverage required B.S. in Computer Science or equivalent degree Self-motivation and intellectual curiosity;  desire to continually grow and always seek improvements in production support function High level of ownership and accountability, reliability, and strong follow through Ability to handle pressure and time constraints with composure; ability to multitask and context switch efficiently Strong organizational skills, including ability to effectively plan and prioritize Must have strong communication skills and demonstrate the ability to have clear and concise conversations, both written and verbal, with a variety of personalities Must be able to quickly apply prior context to troubleshooting and communication efforts The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Amsterdam, Netherlands; Finland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are looking for an experienced Global Power Procurement and Strategy Manager to lead the end-to-end procurement and commercial management of electricity across the company’s global sites. This role owns the complete power procurement lifecycle, from collecting and validating consumption data, forecasting demand and analyzing energy markets, through developing sourcing strategies, conducting competitive procurement processes, negotiating agreements and managing the resulting power portfolio. The successful candidate will combine strong knowledge of electricity markets with commercial, analytical and procurement capabilities and will work closely with Data Center Operations, Infrastructure, Engineering, Finance, Treasury, Legal, Tax and Sustainability teams. Key Responsibilities Own the global electricity procurement strategy (including PPAs) for the company’s data centers, offices and other operational sites. Establish and maintain a consolidated view of electricity consumption, demand forecasts, costs, tariffs, suppliers, contractual commitments and renewal dates across all locations. Develop short-, medium- and long-term power procurement strategies tailored to the regulatory, operational and commercial conditions of each market. Monitor electricity markets, pricing trends, regulatory developments, grid conditions and relevant geopolitical and supply risks. Evaluate available procurement structures, including utility supply agreements, fixed and indexed pricing, spot-market exposure, Power Purchase Agreements and renewable energy solutions. Develop financial models, market comparisons, sourcing scenarios and business cases to support management decisions. Translate complex market, technical and regulatory information into clear commercial recommendations. Lead RFI and RFP processes, including market engagement, proposal evaluation, supplier selection and award recommendations. Lead commercial negotiations with utilities, electricity suppliers, energy producers, aggregators, advisors and renewable energy providers. Manage the contracting process from commercial alignment through internal approvals, negotiation and execution. Partner with Legal, Finance, Treasury, Tax and Sustainability teams to assess contractual, financial, accounting, regulatory and risk implications. Manage electricity supply contracts throughout their lifecycle, including renewals, pricing mechanisms, volume commitments, guarantees, indexation and termination provisions. Monitor contracted versus actual consumption, expenditure, supplier performance and exposure to market prices. Support the review and validation of electricity invoices, tariffs, grid charges and other energy-related costs. Identify cost-saving, cost-avoidance and risk-reduction opportunities across the global power portfolio. Develop dashboards and management reporting covering consumption, expenditure, forecast accuracy, market exposure, contract status, savings and key risks. Support the company’s sustainability and renewable energy objectives, including the evaluation and procurement of Guarantees of Origin, Renewable Energy Certificates and equivalent local instruments. Establish global policies, governance standards, procurement processes and contracting principles for electricity sourcing. Coordinate external energy advisors and consultants where specialized local-market support is required. Required Qualifications Bachelor’s degree in Energy, Engineering, Economics, Finance, Business, Supply Chain Management or a related field. At least 7 years of relevant experience in electricity markets, energy procurement, utilities, energy trading, commercial energy advisory or strategic sourcing. Demonstrated experience managing electricity sourcing or supply agreements for large commercial or industrial consumers. Strong understanding of electricity market structures, utility tariffs, wholesale pricing, grid charges and regulatory frameworks. Experience with electricity purchasing models such as fixed-price, indexed, spot-market and long-term power supply agreements. Proven experience leading complex sourcing processes and negotiating high-value, multi-year commercial agreements. Strong financial and quantitative capabilities, including cost modelling, forecasting, scenario analysis and business-case development. Ability to interpret consumption data and convert market information into actionable sourcing recommendations. Strong contract, stakeholder and project management capabilities. Excellent written and verbal communication skills in English. Ability to work independently and manage multiple markets, projects and decision timelines simultaneously. Preferred Qualifications Experience supporting data centers, cloud infrastructure, telecommunications or other energy-intensive operations. Experience with Power Purchase Agreements and renewable energy procurement. Knowledge of European and US electricity markets and regulatory environments (Preferably including additional markets). Familiarity with energy-risk management, hedging principles, balancing arrangements and volume-risk mechanisms. Experience working with Treasury, Finance, Sustainability, Engineering and Data Center Operations teams. Experience establishing global energy-data management and reporting processes. Experience working within a rapidly growing international technology organization. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Egypt (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for experienced Real Estate, Property Management, and Leasing professionals to support a cutting-edge AI benchmarking project focused on the Egyptian real estate and hospitality-adjacent environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, customer service, leasing, sales, property management, and tenant relations challenges across residential, commercial, retail, and mixed-use developments. Your expertise will help ensure AI systems understand and respond accurately within one of Egypt's fastest-growing sectors. WHAT YOU’LL DELIVER - Design realistic Real Estate and Leasing scenarios in Arabic or English grounded in Egyptian operational contexts (e.g., property leasing, tenant communication, concierge services, facility coordination, sales negotiations, community management, rental operations) - Adapt structured evaluation rubrics for customer interaction, operational problem-solving, leasing workflows, and sales support tasks - Review AI and human-generated responses for factual accuracy, service quality, policy compliance, and operational realism - Contribute to “gold standard” solutions reflecting industry best practices across the Egyptian real estate, leasing, and property operations sectors QUALIFICATIONS - Native Arabic with strong professional English proficiency - 5+ years of professional experience in Real Estate, Property Management, Leasing, Hospitality Services, or Community Operations - Background in one or more relevant roles: Property or Community Association Management, Real Estate Brokerage, Real Estate Sales, Leasing Operations, Concierge & Guest Services, Rental Services, Tenant Relations, or Facilities Coordination - Strong understanding of customer service workflows, leasing and sales operations, property management practices, and Egyptian real estate environments WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. What to Consider Before Applying - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain. Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: München, Germany Workplace: Hybrid At Knuspr, Finance is not a back-office function. It’s a core driver of how we make decisions, run smarter operations, and scale sustainably. As a Finance Business Partner, you will act as a critical co-pilot to our Operations (Fulfilment Centres) and Commercial leadership. This is a hands-on, high-exposure role where you will be embedded directly in the day-to-day business—turning financial data and operational metrics into actionable decisions that directly influence our profitability and growth. WHY THIS ROLE IS EXCITING - Direct business impact: Your insights, business cases, and analysis will directly shape operational efficiency, commercial initiatives, and unit economics. - True business partnering: You won't just report numbers after month-end; you’ll work side-by-side with Operations and Commercial Directors to challenge how things are done and drive change. - Speed and autonomy: We move fast and avoid rigid corporate red tape—good ideas and viable solutions get tested and implemented quickly without layers of approval. - Cross-functional visibility: You will act as the key bridge connecting finance, logistics, commercial strategy, and leadership across the business. - Dynamic scale: You will solve real operational and systemic challenges in a fast-paced, high-volume e-commerce environment.   WHAT YOU WILL OWN AND DELIVER - Partner with leadership: Serve as the trusted finance partner for Operations and Commercial Directors, challenging existing setups and advising on strategic and operational decisions. - Drive performance analysis: Deliver ad-hoc deep dives, scenario modelling, and business cases to evaluate new projects, operational investments, and commercial opportunities. - Identify efficiencies: Spot operational bottlenecks, cost drivers, and financial risks across our fulfilment network and commercial operations, proposing concrete solutions to fix them. - Financial planning & reviews: Collaborate closely on budgeting, rolling forecasts, monthly financial performance reviews, and audit support. - Process & system improvements: Actively participate in developing internal financial tools, automating reporting, and establishing scalable internal controls that support rapid growth.   WHAT WE ARE LOOKING FOR - Proven finance background: Solid experience as a Senior Controller, Financial Analyst, or Finance Business Partner, ideally in a fast-paced, operational, or retail/e-commerce environment. - Commercial mindset: Strong grasp of business economics and core accounting principles, with the ability to translate complex financial data into practical operational insights. - Stakeholder management: Demonstrated ability to communicate effectively, build trust, and constructively challenge non-finance stakeholders and directors. - Hands-on analytical skills: Advanced Excel proficiency (complex formulas, PivotTables, data manipulation) and comfortable working directly with large datasets. - Ownership and initiative: A proactive, solutions-oriented approach with the confidence to dive deep into details and take accountability for outcomes. - Languages: Working proficiency in English (communicative level for business reporting and collaboration).   WHAT WE OFFER - Unlimited Vacation: Unlimited vacation days for a balanced work-life balance - Tax-Free Benefits: Monthly vouchers of €45 tax-free (via become.1) - Remote Allowance: €20 monthly allowance towards internet costs - Exclusive Shopping Perk: Knuspr Xtra account with 10% cashback in the form of Knuspr Credits - Corporate Discounts: Great discounts via CorporateBenefits (fitness, travel, tickets, shopping, and much more) - Culture & community – A collaborative, informal team that pulls together, alongside legendary company events and an open-feedback environment.     #LI-FK1

Location: San Francisco, CA or Remote, US Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You’ll Do Conduct in-depth analysis to shape product PLG motion and B2B strategy. Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights. Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently. Improve execution rigor of product teams by owning success metrics and opportunity sizing. Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios. Evolve experimentation culture and practices within the company. What You Bring 5–8 years of experience in a Data Scientist or similar role. 3+ years working in a growth function. Strong business and product intuition to identify opportunities in the growth ecosystem. Strong knowledge of statistical analysis and A/B tests. Strong SQL skills and proficient in at least one programming language such as Python or R. Excellent communication and collaboration skills. Curiosity, savviness to navigate in a dynamic environment, and a growth mindset. Having worked at a fast-growing start-up is a plus. The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Location: Москва Workplace: Гибридный О компании МТС — это цифровая экосистема. Мы создаём и развиваем сервисы в сфере мобильной связи, больших данных, искусственного интеллекта, облачного хранения, медиа и финансов — все они делают жизнь людей проще и интереснее. Обязанности Разрабатывать и актуализировать дорожную карту автоматизации RAN-домена: оценить текущей уровень зрелости по методологии TM Forum ANLET, определить целевые уровни L3–L4 для процессов планирования, оптимизации и развития RAN; Формировать каталог сценариев автоматизации (High-Value Scenarios, HVS): выявлять приоритетные use-cases с максимальным ROI — self-planning, self-optimizing, self-healing, energy saving, capacity management; Внедрять AI/ML-моделей для автоматизации RAN: прогнозировать трафик и качество, автоматическую тюнинг-оптимизацию параметров, детекция аномалий, root-cause analysis, drive-test automation и т.д.; Проектировать и внедрять closed-loop сценариев (intent-based automation) на стыке OSS, EMS/NMS и RAN-инструментов автоматизации; согласовывать архитектуры с TM Forum ANLET-фреймворком; Заниматься постановкой требований к данным RAN для платформы AN: интеграция источников (Common MR/MDT MR, PM/FM-счётчики, конфигурационные данные, geolocated метрики) с DataLake МТС и MWS; Внедрять метрики и KPI автономности (Autonomy Score, MTTR, share of automated changes, energy savings) в соответствии с TM Forum IG1218K; Сопровождать пилотные проекты автоматизации: подготовить техническое задание, приёмочное испытание, оценка бизнес-эффекта, тиражирование успешных сценариев на всю сеть; Взаимодействовать с вендорами поставщиками основного оборудования, ПАК и научно-исследовательскими партнёрами в части разработки и апробации новых алгоритмов автоматизации; Формировать требования к компетенциям RAN-инженеров и готовить программы переобучения в рамках перехода от manual-режима к supervised/autonomous операциям. Требования Высшее техническое образование (телекоммуникации, радиотехника, информационные технологии, прикладная математика); Опыт работы в области радиосетей 4G LTE / 5G NR не менее 7 лет, из них не менее 3 лет — на позициях, связанных с автоматизацией, SON или RAN-оптимизацией; Глубокое знание архитектуры RAN: eNodeB/gNB, протокольные стеки L1/L2/L3, интерфейсы S1, X2, Xn, F1, E1, O1/O2 (O-RAN); Практический опыт работы с SON-решениями. Настройка и оптимизация алгоритмов ANR, MLB, MRO, PCI, load balancing, coverage/capacity optimization; Опыт работы с инструментами планирования радиосетей: Atoll Forsk, Aircom Asset / Actix / Mentum Planet / TEMS Planet; Владение английским языком: деловая переписка, разговорный. Понимание методологии TM Forum Autonomous Networks (ANLET, IG1230, IG1218K): уровни автономности L0–L5, framework оценки зрелости, closed-loop процессы, intent-based operations; Будет плюсом опыт внедрения AI/ML-моделей в задачи RAN: прогнозирование, кластеризация, детекция аномалий, понимание жизненного цикла ML (MLOps); Будет плюсом опыт работы с большими объёмами данных: SQL, Python (уверенный уровень), Pandas/NumPy, Spark; BI-инструменты (Tableau/Power BI, Superset); Понимание методологии 3GPP TS 32.450 / TS 32.401 / TS 28.554 в части KPI/KQI RAN-сети. Условия программа ДМС с первого месяца работы - это 100% покрытие расходов в частных клиниках, включая стоматологию. Застраховать близких родственников можно со скидкой 50%. Для любителей путешествий - страховка в поездках за границу. А еще есть страхование жизни; очное и онлайн-обучение в Корпоративном университете, у внешних провайдеров, если это полезно для работы, обмен опытом во внутренних профессиональных сообществах, а также доступ к онлайн-библиотеке в полезными книгами и периодикой; оплачиваемые выходные на значимые события в жизни сотрудника; материальная помощь в сложных жизненных ситуациях; корпоративная мобильная связь + интернет, а так же единая подписка МТС Premium (онлайн кинотеатр KION, сервис МТС Music, МТС Строки и т.д.); предложения от партнёров для путешествий, развлечений и занятий спортом; возможность участия в волонтерских программах: мы организуем благотворительные ярмарки, образовательные проекты для детей, конкурсы социальных проектов и экологические проекты; внутренняя спортивная программа «В движении»: забеги, марафоны, турниры по разным видам спорта, медитации и занятия на баланс.

Location: Ukraine; Armenia; Georgia; Moldova Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Technical Expert – Microsoft Power Platform to support our recruitment process by conducting technical interviews and assessing candidates’ expertise. Responsibilities: Conduct technical interviews with candidates for Middle/Senior Power Platform Specialist positions. Assess candidates’ practical knowledge and hands-on experience with Microsoft Power Apps, Power Automate, and SharePoint Lists. Evaluate candidates’ understanding of the Microsoft 365 ecosystem, integrations, security, and Power Platform governance. Ask relevant technical questions and assess candidates’ approaches to problem-solving and real-world scenarios. Evaluate candidates’ ability to analyse business requirements and translate them into technical solutions. Provide structured and objective feedback on candidates’ technical skills, experience, and suitability for the role. Collaborate with the recruitment team to align interview criteria with project requirements. Help refine technical interview questions and assessment guidelines when necessary. Requirements 3+ years of hands-on experience with Microsoft Power Platform, particularly Power Apps and Power Automate. Strong practical knowledge of SharePoint Lists and their use in business applications. Good understanding of the Microsoft 365 ecosystem, integrations, security, and Power Platform governance. Experience designing, developing, troubleshooting, and maintaining Power Platform solutions. Ability to assess technical knowledge, identify skill gaps, and distinguish theoretical understanding from practical experience. Strong communication skills and the ability to explain technical concepts clearly. Ability to provide clear, structured, and objective feedback in English. Would be a plus Previous experience conducting technical interviews or mentoring developers. Experience with Power BI. Experience working in distributed or international teams.

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: Within Galaxy’s Data Center team, you are a commissioning leader who has taken large-scale, mission-critical data center facilities from equipment acceptance through energization, functional performance testing, and integrated systems testing, and who has done it across multiple facilities at once. You understand the electrical, mechanical, and controls systems well enough to challenge a test script, read a trend log, and know when a result does not prove design intent. You understand the commissioning process well enough to adapt it, not just follow it, and you can rebuild the test sequence when conditions change. That includes authoring the MOPs and risk controls for completing IST and load-based validation after early turnover, in live or partially occupied environments, without lowering the performance requirements the original plan was designed to prove. You lead teams from the front, hold contractors, OEMs, and third parties to a high standard, and refuse to let schedule pressure compromise a readiness gate. You are equally comfortable on the data hall floor with a startup technician and in the conference room briefing senior leadership on readiness, risk, and forecast. You believe the digital economy depends on infrastructure that is proven before it is energized for customers, and you take ownership of making that proof rigorous. What You'll Do: As Senior Manager, Commissioning at Galaxy's Helios campus in Afton, TX, you will lead all commissioning efforts across the campus on behalf of Galaxy as owner and developer. You will report to the VP, Campus Construction Manager and manage a team of three Commissioning Managers, each assigned to a data center facility. You will work closely with the general contractor's on-site team and Galaxy's third-party commissioning agent, and you will partner with Construction, Pre-Construction, Design Engineering, and Operations to ensure every facility is installed, tested, and proven to design intent, and handed to operations ready for customer service. You will set the commissioning standard for the campus and hold every facility to it. Key Responsibilities: Own Campus Commissioning: Serve as Galaxy's single point of accountability for commissioning across the Helios campus, from design intent review through Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Set the campus-wide standards and quality bar. Lead the Commissioning Team: Manage three Commissioning Managers, each embedded at a data center facility. Standardize methods and reporting, balance resources across facilities, and develop talent. Define and Enforce the Commissioning Plan: Own the campus commissioning plan and its alignment to the Owner's Project Requirements and Basis of Design, including acceptance criteria, test standards, and readiness gates. Ensure these are written into GC, trade, and OEM scopes. Validate Testing and Design Intent: Review and approve test scripts, sequences of operation, and IST scenarios across critical power, mechanical cooling, and BAS/EPMS controls and telemetry. Ensure testing proves design intent, redundancy, and failure-mode response. Drive Execution with the General Contractor: Integrate commissioning into the Primavera P6 master schedule and work daily with the GC's commissioning lead and trade partners to confirm readiness, resourcing, and OEM startup support. Hold the GC accountable through readiness reviews, deficiency tracking, and commercial remedies. Direct the Third-Party Commissioning Agent and Issue Closeout: Manage the scope and performance of Galaxy's third-party agent, challenge findings, and maintain a campus-level issues log. Drive every item through root cause, corrective action, and retest to closure. Coordinate Energization and OFCI Equipment: Plan utility energization and load bank testing, enforcing safe work during energized testing in partnership with EHS. Align OFCI equipment delivery, factory testing, and manufacturer startup with the commissioning sequence. Adapt the commissioning sequence and author MOPs to complete Level 4-5 and IST activities after early data hall turnover, without lowering acceptance criteria. Deliver Operational Readiness and Customer Acceptance: Partner with Galaxy Operations and customer delivery teams on documentation, training, operating procedures, witnessed testing, and formal turnover, ensuring each facility meets acceptance criteria at handoff. Report Readiness and Standardize: Provide candid readiness reporting to the VP and senior leadership, and feed lessons learned into design standards, specifications, and Pre-Construction planning. Validate Controls, BAS/EPMS, and Telemetry: Ensure the BAS, EPMS, and associated controls are commissioned as a system, not just as individual points lists. Verify point-to-point integrity, alarm and trend configuration, and operator visibility across all critical power and mechanical systems, including through failure scenarios such as loss of utility, loss of a controls network or server, communication failure, and transfer events. Confirm that telemetry remains accurate and actionable so Operations can see, diagnose, and respond to any failure while redundancy is maintained. What We're Looking For: Bachelor's degree in Electrical or Mechanical Engineering, or a related discipline, or equivalent experience. 10+ years of experience commissioning mission-critical facilities, including 5+ years on large-scale data centers, with at least 3 years in a leadership role directing commissioning through Level 5 / IST. Demonstrated success leading commissioning across multiple concurrent facilities on a single campus. Experience managing and developing commissioning managers or engineers. Deep technical knowledge of critical power systems, including medium- and low-voltage distribution, protective relaying, UPS, batteries, generators, and transfer systems. Deep technical knowledge of mechanical cooling systems, including chilled water plants, heat rejection, air handling, pumps, and associated controls. Working knowledge of BMS, EPMS, and SCADA architectures, sequences of operation, and fire and life safety system integration. Experience developing, executing, and witnessing IST, including failure-mode and fault scenarios. Familiarity with ASHRAE Guideline 0, NETA acceptance testing standards, NFPA 70E, and NFPA 110. Experience directing GC commissioning teams and third-party commissioning agents, with strong command of test documentation, issue tracking, and P6 schedule integration. Familiarity with Procore, Primavera P6, Bluebeam, SharePoint, and commissioning management platforms. Full-time, on-site presence at Helios (Afton, TX) Preferred: Professional Engineer (PE) license or commissioning certification (e.g., CxA, CCP, BCxP), prior owner-side or owner's representative experience, and OSHA 30. What You Bring: A track record of leading and developing high-performing technical teams. The conviction to hold readiness gates under schedule pressure, backed by data and clear communication. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, rigor, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (14) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and daily meals Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As Vercel’s Strategy & Planning Lead, you’ll partner directly with the Director of Sales Planning and Strategy, owning the analytical foundations behind how Vercel plans, staffs, and quotas its go-to-market organization. You’ll build the models that translate revenue targets into headcount, ratios, and quota, and help design how the company sets and ramps quotas as it completes its shift to a consumption-based revenue model. This is a senior individual-contributor role, built for someone who wants to own the analytical backbone of a fast-growing GTM org rather than run point on day-to-day execution. This is a hybrid role with 3 in-office days per week in San Francisco or New York City. What you will do Build and maintain Vercel’s GTM capacity model, connecting headcount plans to attainment probability and revenue target coverage across Sales, SAs, BDRs, and other supporting roles Develop and operationalize the “minimum deployable unit,” the supporting-role staffing needed per rep or segment, to guide hiring sequencing and investment scenarios Partner with the Director on quota-setting methodology, with a focus on consumption-based quota design, translating usage-based revenue signal into fair, attainable quota and ramp assumptions Build and maintain quarterly planning deliverables, including quota-setting proposals, coverage model updates, and headcount recommendations Track plan versus actual on headcount, capacity, and quota attainment throughout the year, flagging divergence early and modeling the revenue impact What you need 6+ years of experience in revenue/sales operations, strategic finance, or a similar analytical GTM function at a high-growth SaaS company Built headcount, capacity, or ratio-based staffing models tied to revenue targets Experience with quota design and ramp modeling, including consumption- or usage-based quota structures Able to build a defensible model from incomplete data and clearly explain the assumptions behind it Able to translate complex modeling into clear recommendations for senior stakeholders Prefers building frameworks and analytical systems over running point on day-to-day execution Bonus if you Have direct experience with consumption-based or usage-based revenue models, especially quota and compensation design in that context Have worked in developer tools, infrastructure, or cloud platform companies Have a point of view on how automation or better tooling can improve planning and modeling workflows Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $175,000 - $205,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero's biggest areas of investment and growth, and it's how small businesses get paid, pay their people, and take on their next opportunity. As Engineering Manager, you'll lead the Payments Platform engineering team in Vancouver as it takes on early-stage initiatives that power money movement across Xero and enable new product lines globally, including global bill payments. You'll keep the team delivering while building the engineering practices and capability it needs to grow. THE TECHNICAL CHALLENGES The team is building the capabilities that sit underneath every payment a small business makes or receives. Four problems define the work: - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. Your job is to make sure the team can take on these problems together, sequencing the work so that both customer value and long-term architecture move forward. IMPACT - First 6 months: you'll understand the payments platform, its consumers, and the customer problems it enables teams to solve. You'll have the team delivering production code, with a clear delivery plan and roadmap agreed for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. You'll also have set up healthy on-call and review practices, and you'll be building the team's capability through mentoring and technical reviews. - First 12 months:the team's architectural decisions will be running in production and helping new payment products launch faster. You'll have established engineering standards and clear ownership across the Vancouver Payments team, and the work will be reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You'll own the delivery, staffing, and operational health of the Vancouver Payments engineering team, including hiring, performance, and career development for every engineer on it. You'll set the team's priorities with the product and engineering leadership, and you'll own the team's processes, quality standards, and on-call practices within agreed standards. Technical architecture decisions for the platform sit with the team's technical leads and principal engineers, and you'll make sure those decisions are backed by a team that can deliver them. Because the initiative and the team are both early in their development, you'll help shape how the team works, including its use of AI-assisted development. Engineers on the team own their work, including quality, reliability, and on-call, and you'll make sure that accountability is built into how the team operates. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING - A proven record of leading engineering teams that deliver highly available distributed systems under real production constraints, with strong operational practices - Experience growing and managing engineers, including hiring, performance management, and career development, and a track record of building inclusive, high-trust team cultures - Experience building a platform or product from an early idea into production, and evolving it as adoption and complexity grow - Enough technical depth in system architecture, API design, and data stores to guide design reviews and trade-off decisions with your technical leads - Experience setting direction and breaking complex problems into clear, actionable plans that lead to delivery - Comfort using AI tools to improve development workflows, with judgment about when and how to validate their output Nice to have: - Experience in payments, fintech, or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience in adjacent domains with demanding reliability, security, or correctness requirements is also valuable. - Experience modernizing established systems while continuing to deliver value to customers - A track record of partnering with product, design, and other cross-functional teams to turn complex business needs into resilient engineering solutions HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia. We also welcome applications from candidates across Canada interested in relocating to Vancouver. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: A systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $188,000 - $236,000 CAD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Chicago, Greenwich, New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Key Responsibilities Surveillance & Investigations Monitor and review trade and electronic communications surveillance alerts across the firm's global trading activity, including but not limited to on-exchange and OTC markets across equities, fixed income, commodities, FX, futures, options, and digital assets. Analyze large datasets to support investigations, thematic reviews, and surveillance enhancements. Document investigation findings clearly and concisely, maintaining a robust audit trail to regulatory standards. Escalate suspected breaches to senior compliance staff, and support market abuse related inquiries from Exchanges, Regulators, and internal stakeholders. Alert Tuning & Surveillance Development Contribute to the design, development, and testing of new surveillance scenarios and detection models in response to evolving trading strategies, new products, or regulatory guidance. Draft and maintain Business Requirement Documents (BRDs) for new or modified surveillance products. Perform user acceptance testing (UAT) for surveillance system enhancements, new alert configurations, and platform upgrades. Analyze alert performance data and recommend calibration adjustments to improve detection quality Required Qualifications Bachelor's degree in Finance, Economics, and / or STEM field. Minimum 1.5 years of experience in market abuse surveillance. Working knowledge of Python & SQL Advanced Microsoft Excel skills Excellent written and verbal communication skills Preferred Qualifications Working knowledge of one or more US or APAC trade compliance regimes (e.g., DCM Core Principles, Reg NMS, SEC/FINRA market manipulation rules, China Abnormal Trading Rules, Korea Unfair Trade Practices). The annual base salary range for this position is $100,000 to $150,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE This is a rare opportunity to partner directly with Replit’s President, Michele Catasta. As Replit leads in making useful intelligence accessible to all, you will serve as the company President's primary operational and strategic force multiplier across these critical organizations. Your mandate is to own the most complex cross-functional challenges, unblock technical and operational bottlenecks, and ensure that the core product, engineering, and organizational engines operate with speed, coherence, and precision. This is a high-leverage individual contributor (IC) role, not a traditional management track or team-building post. You will scale your personal leverage through AI workflows, agentic automation, and rigorous analytical judgment, influence, not headcount. You are the operator Michele turns to when an issue spans multiple disciplines such as technical architecture, product execution, support feedback loops, or organizational design and demands a single, decisive owner. WHAT YOU’LL DO - Act as Trusted Advisor & Operational Stand-in: Serve as a direct thought partner and proxy for Michele. Elevate core operational insights, synthesize briefings for high-stakes technical and organizational decisions, and step in as a representative when needed. - Proactively Clear Cross-Functional Friction: Anticipate blind spots and resolve organizational bottlenecks before they escalate. Bridge natural seams between Engineering, Product, Support, AI teams to ensure high-cadence execution. - Directly Responsible Individual (DRI) for Complex Initiatives: Spearhead high-priority projects that lack a neat functional home such as evolving product unit economics, developer tooling infrastructure shifts, pricing models, or technical re-architectures. - Scale Impact via AI & Automation: Actively build and deploy AI agents, automation pipelines, and modern operational workflows to multiply your personal bandwidth across status synthesis, metrics tracking, scenario modeling, and operational monitoring. WHAT THIS ROLE IS NOT - Not a Routine Data / BI Role: You will not be building routine dashboards, running routine SQL queries, or handling standard quarterly analytics. Those belong to Data, RevOps, and Strategic Finance. - Not Bureaucracy or Process for Process’s Sake: We prioritize momentum, rapid iteration, and decisiveness over heavy governance frameworks or dense slide decks. WHAT WE LOOK FOR - 7+ Years in High-Growth Tech: Proven track record in strategy, operations, product operations, or technical chief of staff roles, with extensive time spent working shoulder-to-shoulder with Engineering and Product leadership. - Cross-Domain Credibility: Strong technical fluency to earn the respect of Staff/Principal Engineers and AI researchers, paired with the operational empathy to partner effectively with Support and People teams. - Exceptional Execution in Ambiguity: The ability to take ill-defined, sprawling problems, define clean problem boundaries, and drive them to resolution without formal line authority. - Strong Quantitative & Analytical Toolkit: Deep comfort evaluating unit economics, interrogating technical systems data, building scenario models, and separating actionable signal from noise. - Executive-Ready Communication: Direct, concise communicator who can deliver unambiguous trade-offs and recommendations to senior leadership with clarity and brevity. - Hands-on AI & Agent Automation: Active, practical experience leveraging LLM workflows, coding agents, and automation frameworks to amplify daily productivity and analytical depth. - Presence & Proximity: Continual availability is essential. Ability to work in-person (at least) three days a week (Monday, Wednesday, Friday) in Foster City, CA, collaborating closely on-site with leadership. - Scale Experience: Experience navigating rapid organizational scaling while maintaining high cultural and engineering standards. NICE-TO-HAVES - Deep Developer Tooling Background: Prior experience in developer platforms, cloud infrastructure, AI coding assistants, or developer-focused software ecosystems. HOW WE’LL KNOW IT’S WORKING - Decision Velocity Across Functions Increases: Product, engineering, and support initiatives move from scoping to execution faster, with clear alignment and measurable business impact. - Net-Negative Friction: Teams actively seek your partnership because your involvement removes ambiguity, sharpens priorities, and unblocks progress rather than introducing overhead. - Integrated Health Sightlines: Replit's President has continuous, high-signal visibility into the operating health, technical execution, and organizational sentiment across all reporting groups. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Remote - United States Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND YOUR IMPACT As a Senior Product Marketing Manager, you'll join our Product Marketing team and report to our Director of Product Marketing, working day to day with DevRel, Growth, Sales, Partnerships, and Product. Most of our customers find Qdrant before we find them. An engineer runs the open-source engine, spins up a free Qdrant Cloud cluster, and ships a prototype. Your job is to make sure that story ends in a production deployment and a commercial relationship. You'll own how Qdrant is positioned at every step of that path: the docs page, the moment a team upgrades to a paid Cloud cluster, and the enterprise deal where we compete against known competitors. More and more of that research now happens inside AI chats and coding agents, so the messaging and tools you build have to hold up there as well as on a sales call. WHAT YOU WILL OWN - The messaging for our self-serve to sales path: what a developer hears while evaluating Qdrant, what changes when they upgrade to a paid Cloud cluster, and what their engineering leader hears when the team brings us in. - Buyer scenarios for our main entry points, such as moving a self-hosted cluster to Qdrant Cloud, replacing a legacy keyword search engine, or adding retrieval to an AI agent. Each one ships as messaging, a proof point, and an asset that Sales and Growth can use the same week. - Our competitive program: comparisons, battlecards, and objection handling that stay current with every release, with each claim backed by a benchmark, a customer, or a working demo. - A win and loss program you design and run yourself, interviewing customers and account executives, and turning what you learn into changed messaging, pricing page copy, and product feedback. - The AI workflows that scale your work: Claude skills that let account executives and solutions engineers pull the right talk track, comparison, messaging, or case study without waiting for you, and a research loop that turns call notes and interviews into updated assets. - Launch messaging for Qdrant releases with Product, DevRel, and Growth, so every feature reaches developers through docs and community, and reaches buyers through sales. WHO YOU ARE - You have 6+ years in product marketing, with at least 4 of them on a developer-facing or data infrastructure product: databases, search, APIs, cloud infrastructure, or AI and ML tooling. - You've owned product marketing for an enterprise-led sales motion, ideally in an open source product company. You have shaped activation and upgrade, and built the handoff into a sales-assisted deal. You can name the metrics you moved. - You've spent time at a start up or scale-up, where you owned a product marketing area end to end without a playbook or a team behind you. - You've built sales enablement that changed how a team sold, and you're comfortable on customer calls and in front of account executives. - You're technical enough to earn an engineer's trust: you can run a quick start, read a code sample, and explain the trade offs between keyword, vector, and hybrid search without notes. - You built AI tools that other people rely on, with the judgment and taste to spot when the output is wrong or not concise. NICE TO HAVE - You've worked alongside a DevRel team and know where product marketing ends and developer advocacy begins. - Experience with partner and cloud marketplace marketing (AWS, Google Cloud, or Azure). WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE