Вакансии

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a member of the EMEA Talent Acquisition team focused on Corporate and Go-To-Market hiring, you will be instrumental in building and scaling Mistral's EMEA-based teams across both corporate functions and revenue-generating roles. Joining early means you'll help shape our recruitment strategy and operations, partnering closely with leaders across Corporate functions (Finance, Legal, People, Operations, Marketing, Communications) and GTM functions (Sales, Pre-Sales/Solutions, Partnerships, Customer Success, and Revenue Operations). Your work will directly influence Mistral's commercial and operational success by ensuring we find and engage exceptional operators who will drive Mistral's growth across the EMEA region. In this role, you'll also foster a strong candidate experience and help establish recruiting best practices as we expand across multiple EMEA markets. WHAT YOU WILL DO STAKEHOLDER PARTNERSHIP - Partner deeply with Corporate and GTM leaders — from CRO and VP Sales to Finance, Legal, and People leadership — to understand hiring needs, define role specs, and identify the right talent across multiple EMEA markets. - Own full-cycle recruitment across Corporate and GTM functions: Sales, Finance, Legal, People/HR, Marketing, and Communications roles. - Advise hiring managers on market mapping, leveling, comp positioning, and the competitive landscape for EMEA talent, accounting for local market nuances, benchmarking, and statutory differences across countries. - Translate the nuances of each role into compelling, accurate, and locally relevant candidate outreach. END-TO-END RECRUITMENT - Own the full recruiting lifecycle from sourcing to close, operating with autonomy on complex, high-volume roles across Corporate and GTM. - Source passive and active candidates across EMEA talent pools, particularly in AI/ML, open-source software, enterprise infrastructure, and regional corporate markets. - Conduct intake and calibration sessions with hiring managers to align on ideal candidate profiles and stage expectations. - Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for senior talent across multiple geographies and languages. - Navigate cross-border hiring complexity, including relocation, remote-friendly offers, and country-specific employment frameworks. CANDIDATE EXPERIENCE & SELLING MISTRAL - Guide candidates through the hiring process with clear communication and a compelling narrative about Mistral's mission, culture, and trajectory. - Articulate Mistral's positioning in the AI landscape — frontier models, open-weight philosophy, and enterprise credibility — to differentiate us against better-known competitors. - Provide candidates with real insight into our GTM motion, corporate operations, growth plans, and the specific impact of their role. - Deliver a high-quality, respectful candidate experience at every stage, regardless of outcome. RECRUITING OPERATIONS & DATA-DRIVEN IMPROVEMENT - Develop and refine recruiting processes, tools, and documentation to improve outcomes and efficiency. - Use data to diagnose pipeline issues (e.g., drop-off at specific stages, time-to-fill by role, offer acceptance rates) and propose targeted solutions. - Build and maintain market maps, competitive intel, and talent pools for key EMEA Corporate and GTM segments. - Standardize interview rubrics, scorecards, and debrief practices across EMEA hiring teams, while respecting local market and language differences. RAISING THE BAR - Collaborate with Corporate and GTM leadership and the broader Talent team to continuously elevate our hiring standards. - Contribute to defining and evolving our EMEA talent acquisition strategy as we scale from early team to a mature, multi-region organization. - Partner on employer-brand and outbound sourcing initiatives that position Mistral as a destination for top Corporate and GTM talent in EMEA. WHAT WE'RE LOOKING FOR - 6+ years of recruiting experience, including 2+ years in a startup or high-growth B2B SaaS/infrastructure company, with a focus on Corporate functions and/or Sales/GTM roles. - Demonstrated ability to independently hire across the full GTM stack — from Enterprise AE’s to GTM leadership — as well as key Corporate functions (Finance, Legal, People, Marketing, Operations). - Deep network and sourcing expertise in EMEA talent markets, particularly in AI/ML, open-source, developer tools, or enterprise software. - Track record of hiring in competitive, candidate-scarce markets where candidates have multiple offers, including cross-border and multi-language hiring. - Experience working across multiple EMEA markets and comfort with country-specific comp, benefits, and employment nuance. - Willingness to work on other roles as needs come up. - Comfort navigating ambiguity and switching between strategic planning and hands-on execution. - Strong written and verbal communication skills, with the ability to influence peers and senior stakeholders without direct authority. - Organized, detail-oriented, and able to juggle shifting priorities across a high-volume hiring slate spanning two function families. - Professional experience with modern recruiting tools such as Ashby. - Familiarity with the AI/ML landscape and the ability to credibly discuss frontier model capabilities with technical GTM and corporate candidates. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Limassol, Cyprus Workplace: hybrid Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Now we look for a Data Scientist to join our ML team Job Responsibilities Machine Learning & Modeling • Develop and train machine learning models for prediction, classification. • Build and evaluate regression, classification, clustering, and time-series models. • Design feature engineering pipelines and data preprocessing workflows. • Evaluate model performance, robustness, and production readiness. • Deploy and maintain ML models in collaboration with ml-ops teams. Data Analysis & Exploration • Explore large datasets to identify patterns, trends, and hidden relationships. • Perform statistical analysis and hypothesis testing. • Distillate open-source datasets by proprietary data via LLM agents • Detect anomalies, outliers, and unexpected metric movements. • Translate business or product questions into analytical tasks. Data Pipelines & Infrastructure • Work with data pipelines and streaming data systems. • Process and transform large datasets using Python and SQL. • Work with event streams and messaging systems (Kafka). • Contribute to data quality monitoring and dataset validation. • Work with analytical databases and data warehouses. Model Monitoring & Experimentation • Design experiments and evaluate model performance in real environments. • Implement monitoring for model performance and data drift. • Support A/B testing and experimentation frameworks. • Improve models based on production feedback and metrics. Cross‑Functional Collaboration • Work closely with ML engineers, data engineers, and product teams. • Communicate model results and analytical insights clearly. • Contribute to the development of ML best practices within the team. You’ll thrive here if you have • Strong Python programming skills for data science and machine learning. • Experience working in Jupyter / Python notebooks for experimentation and analysis. • Strong experience with pandas and numerical data processing . • Experience with SQL databases and complex analytical queries. • Experience working with ClickHouse or other analytical columnar databases. • Experience working with Kafka or other streaming data platforms . • Experience building and evaluating machine learning models using libraries such as scikit‑learn, XGBoost, LightGBM, or similar . • Understanding of statistics, probability, and experimental design . • Experience working with large datasets and data preprocessing pipelines. Nice to Have • Experience with deep learning frameworks (PyTorch or TensorFlow). • Experience deploying ML models to production environments. • Experience working with Computer Vision models (OpenCV, CNNs, object detection frameworks). • Experience with distributed data processing or large-scale ML systems. • Familiarity with ML monitoring, experiment tracking, and model versioning tools. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min); Technical interview (1.5 hour); Final interview (60 min).

Location: Colombia About the role We currently have several Analyst openings across our Risk teams in Mexico and Colombia, specifically within Retail Credit Risk. You will join one of these teams and use data to solve real business problems, improve risk strategies and processes, and support better decision-making across our credit products. Previous risk experience is not required — we value strong mathematical and analytical thinking, solid SQL and Python skills, and the ability to quickly understand and solve complex problems Challenges that await you: Analyze credit funnels, portfolio performance and key risk indicators to identify trends, risks, friction points, and opportunities Develop and maintain analytical datasets, reports, dashboards, and BI solutions to support business and risk decision-making Help design and optimize credit decision strategies, evaluating their impact on approval rates, portfolio quality, recovery, and customer behavior Analyze the profitability, NPV, and unit economics of credit products and identify the key parameters driving their performance Prototype, evaluate, and monitor analytical and machine learning models, including testing hypotheses and assessing model performance Work closely with Risk, Product, Data, Data Engineering, and business teams to turn data analysis into practical decisions, tests, and new processes What makes you a great fit: Completed education : Mathematics, physics, engineering, economics, computer science, or another strong quantitative field Strong knowledge of SQL and Python; experience with data analysis libraries and machine learning tools is a plus Good mathematical intuition and a solid understanding of probability and statistics Ability to solve unfamiliar, non-trivial problems and quickly find logical, data-driven solutions Analytical mindset: curiosity, attention to detail, willingness to learn, and the ability to clearly explain your conclusions B1 or higher English level for effective communication with an international team Nice to have: Up to 2 years of experience in analytics Experience in risk analytics Understanding of machine learning concepts and approaches Experience with BI tools (e.g., Tableau, Superset) Our ways of working: Innovative Spirit : a commitment to creativity and groundbreaking solutions Honest Feedback : valuing open, transparent communication Supportive Team : a strong, collaborative community Celebrating Achievements : recognizing our wins together High-Tech Environment : a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Colombia and Mexico with assistance for the employee and their family Flexible work : hybrid or full-time from our offices Healthcare Coverage Education Budget : Language lessons, professional training and certifications Wellness Budget : Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Warsaw Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration.   We are looking for an HR Administartion Specialist to support end-to-end personnel administration. The role will be responsible for preparing employment documentation, managing personnel files, supporting ZUS-related processes, and coordinating the legalization and right-to-work verification of foreign employees.   Location: hybrid work mode from Warsaw, 4 days a week. Responsibilities: Prepare and manage employment documentation, including contracts, amendments, terminations and employment certificates, using company templates and ensuring compliance with applicable Polish regulations. Maintain accurate and up-to-date employee records, including digital and physical personnel files ensuring proper documentation and audit readiness. Ensure data accuracy and consistency across internal HR systems (HiBob) and Polish payroll platforms (enova365, Płatnik). Handle employee registrations, deregistrations and statutory updates with ZUS, ensuring compliance with applicable deadlines and requirements. Monitor time and attendance records, track leave balances and entitlements and cooperate with the payroll team to ensure accurate payroll inputs and leave-related calculations. Act as the primary point of contact for employees on HR administrative matters, providing timely support with employment documents, certificates and related requests. Identify opportunities to streamline, automate, and standardize HR administrative processes contributing to operational efficiency within the Polish entity. Support general office administration and ad-hoc operational activities. Requirements: 3-4+ years of experience in HR administration, personnel operations, payroll support, or a similar role in Poland , ideally in an international company with headcount 400+ employees. Experience with employment of foreign nationals in Poland and procedures involving Urząd Wojewódzki and Urząd Pracy, and the ability to independently communicate with Polish public authorities. Solid knowledge of Polish labor law. Experience working with HRIS and Polish payroll/HR systems. Strong attention to detail, data accuracy, and organizational skills, with the ability to manage multiple deadlines proactively . Fluent Polish and professional English ; both written and spoken. Nice to have: Knowledge of HiBob, eNova and Płatnik would be a strong advantage. Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Lisbon Workplace: hybrid Spin.AI is a global SaaS cybersecurity company that protects mission-critical data across Google Workspace, Microsoft 365, Salesforce and Slack. Our product – SpinOne unifies SSPM, ransomware protection, DLP, backup & recovery in one platform trusted by enterprise customers worldwide.   As our platform evolves and new features are delivered faster, the volume of manual testing has increased. To keep our quality standards high and ensure stable releases, we are looking for a Middle Manual QA Engineer who takes real ownership of product quality. We expect someone who thinks critically, challenges requirements, spots risks before they turn into incidents, and is comfortable diving into UI, APIs, databases, and backend workflows. You will become part of a strong QA team of 7 engineers, including both Manual and Automation QA specialists, working closely together to maintain high product quality and continuously improve our testing processes.   This role is based in our Lisbon office in a hybrid format. If you are not currently in Portugal, we are open to remote work during the trial period, with relocation to Lisbon afterward. 🧰 Day-to-Day Responsibilities Perform manual testing across UI, APIs, integrations, and backend-driven workflows. Analyze requirements and acceptance criteria, proactively identifying risks and gaps together with PO/PM/Dev. Own and maintain test documentation in Zephyr: create, review, and update test cases and checklists; develop and manage test plans and test cycles; prepare test result reports when required. Validate data integrity and system behavior using database queries. Run and analyze automated test results to identify problem areas, support root-cause analysis, assist with prioritization, and align on next steps with the team. Review product documentation, analyze it critically, and suggest improvements. When needed, deliver short demos or walkthroughs to align with PO/PM 📌 Requirements 3+ years of manual QA experience in Web/SaaS products (CRM/eCommerce is a plus). Strong test design skills (exploratory, risk-based, negative scenarios, regression) and solid bug reporting. Web fundamentals: HTTP, DevTools (Network/Console), basic HTML/CSS, general understanding of Java. Databases are mandatory: understanding core DB concepts + hands-on verification using PostgreSQL. Practical understanding of test plan / test cycle / test case concepts and ability to apply them in Zephyr. Ability to read documentation, analyze it critically, and suggest changes. Critical thinking and initiative to uncover risks and non-obvious defects. English: Intermediate+. 🛠 Tooling (used daily) Jira — bug tracking, tasks, defect communication Zephyr — test management (test plans, test cycles, test cases, regression) Database tools (PostgreSQL) — data validation and verification via SQL queries Browser DevTools (Chrome/Firefox) — Network/Console for request / http analysis, UI behavior, errors Automated tests (CI / project runs) — running and reading results/logs to identify weak spots and support defect analysis and alignment on next steps with the development team Nice to have: Postman, Swagger, Confluence (or similar), AI tools for QA, Jenkins Nice-to-Have: REST API testing (Postman, Swagger). SQL beyond basics. Exposure to test automation (running tests, reading logs/reports). Experience using AI tools to improve QA efficiency. Knowledge of cloud platforms: AWS, GCP, and Azure (basic services, IAM/permissions, core cloud concepts). Java understanding (reading code / following logic is a plus). 🌍 Why Spin.AI Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Work on a real product with real users and visible business impact Work on an interesting and large-scale product Solve complex, non-trivial security and engineering challenges Opportunity to influence technical and product decisions Trust from management and autonomy in day-to-day work Strong, professional team with deep expertise 🎁 What we offer Annual performance-based salary review Annual performance-based bonus Referral bonuses Educational budget Sport & hobby compensation Medical insurance compensation Company presents (birthdays, anniversaries, weddings, etc.) Corporate travel parties twice a year

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Transforming 50M+ daily events into real-time actionable dashboard insights The Dashboards team is responsible for the systems and interfaces that define our partners' daily operations. We build the campaign management APIs, analytics engines, and high-throughput tools that allow advertisers and publishers to configure, monitor, and optimize their activity on our platform. This is not about simple CRUD interfaces, it is about building high-performance data surfaces that drive massive business decisions. Using Go, Kafka, and Druid, we process and render real-time analytics across 50+ million daily events, ensuring accuracy and complex campaign performance reporting at scale. On the frontend, we tackle genuine engineering constraints: utilizing TypeScript and React, we have moved beyond standard library limitations to build highly optimized graph-rendering with Recharts capable of visualizing datasets that would overload conventional solutions. Your Mission & Who We Are Looking For: - QA with 3 years+ hands on automation experience, alongside a strong manual testing foundation. You design and execute structured and exploratory test cases, validate complex user journeys across frontend and backend, and perform regression testing before releases. You identify edge cases and risk areas early and document clear, reproducible bug reports in Jira. - You contribute to UI and API test automation using Playwright, identify critical regression flows worth automating, and maintain existing test suites. CI/CD integration experience is a plus. - API and data testing is part of your toolkit. You test APIs and data-driven dashboard features, and have basic SQL knowledge for backend data validation. You understand what correct looks like at the data layer, not just the UI. - Quality ownership from day one. You participate in refinement and sprint planning from a QA perspective, help define acceptance criteria and test strategies, and proactively flag quality risks before they reach release. - Plus: Experience in SaaS, AdTech, or performance marketing environments. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.  - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: New York, NY (HQ); San Francisco, CA; Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Product Partnerships at Ramp is where we go when the right partner doesn't exist yet — or when the canonical partner doesn't move fast enough. The team owns the integrations that expand Ramp's product surface area: tax and compliance automation, agentic commerce, data partnerships, international payments, receipt and payment automation, and the technical substrate that lets Ramp plug into any system a customer runs. This role isn't about hitting a quota. It's about picking the right partners in emerging categories, negotiating the terms, shipping the integration with our Product and Engineering teams, and turning the launch into something customers actually feel. Recent and active examples: selecting an AI-native VAT compliance partner, white-labeling eInvoicing for international markets, shipping receipt automation, building agentic payment partnerships, and negotiating data governance terms with the largest platforms in the industry. You'll work directly with Product, Engineering, Legal, and GTM. You'll own deals end-to-end. The bar is partnerships that move Ramp's product forward — not deals that move a number on a dashboard. WHAT YOU'LL DO - Own the full lifecycle of strategic product partnerships: source, qualify, negotiate commercial and legal terms, structure the integration with Product and Engineering, launch, and scale - Translate partner capabilities into product opportunities: work side-by-side with Product and Engineering to scope what's worth building, and with Legal on risk, liability, and regulatory framing - Negotiate complex commercial terms — pricing, rev share, MSA, BAFO cycles, multi-year structure, data and IP rights - Quarterback launches across Marketing, Sales, and Solutions to make sure customers actually adopt what we ship - Build durable relationships with senior counterparts at partner organizations and run formal cadences (QBRs, exec syncs) once partnerships are live - Define and report against partnership KPIs that map to Ramp's product and revenue priorities WHAT YOU NEED - 7+ years across Business Development, Strategic Partnerships, Product Partnerships, Product Management, or a related discipline, with a clear track record of owning deals end to end (sourcing through launch) - Experience structuring and closing partnerships that required real product and engineering work — not channel referrals or reseller motions - Strong fluency with API-based integrations: comfortable scoping technical work directly with engineers and PMs, and translating between partner-side and product-side stakeholders - Comfortable operating in ambiguity — you've picked partners in spaces where there was no obvious incumbent and made the call stick - Strong commercial instincts: pricing, term structure, risk allocation, and the ability to drive a contract to signature without hand-holding from legal NICE TO HAVES - Background that includes one of the categories above. Strong preference for Product Management - Direct experience negotiating data, API, or model-access governance terms (MCP, model providers, platform data exposure) - Shipped a product partnership that opened a new vertical, geography, or category for your company - Prior exposure to ERP or accounting ecosystems (relevant context, not the primary job) - Experience as a design-partner manager for early-stage products BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Partner with Product Managers and Engineers throughout product discovery, from identifying problems and opportunities to defining and validating solutions. Translate user feedback, business goals, product requirements, and technical constraints into thoughtful product improvements. Own the end-to-end design process — from early ideas, user flows, and wireframes to prototypes, high-fidelity UI, implementation, and post-launch iteration. Use qualitative and quantitative data to inform design decisions and measure the success of shipped features. Design thoughtful, intuitive experiences that solve real user problems and create business value. Work closely with engineers during implementation, provide clear design guidance, and ensure the final product meets the intended quality. Collaborate with Product Managers, Engineers, Researchers, and other team members to find optimal solutions. Work collaboratively with other Product Designers to maintain consistency, contribute to the design system, and improve the product holistically. Understand customers, their needs, and behaviors through research, market analysis, product data, and feedback. Important/challenging tasks Turn ambiguous product problems into clear user flows, concepts, prototypes, and testable solutions. Validate design ideas through usability testing, user feedback, product data, and experimentation. Conduct user research to understand user needs, motivations, behaviors, and pain points. Balance user needs, business goals, and technical constraints when making design decisions. Design complex flows across different user states, platforms, screen sizes, and edge cases. Create detailed design specifications and work closely with Engineers throughout implementation. Iterate on shipped experiences based on qualitative and quantitative insights. Communicate design rationale clearly to stakeholders and build alignment around proposed solutions. Participate in design critiques and provide constructive feedback to other Product Designers. Manage and prioritize multiple design initiatives while maintaining a high level of quality. You’ll thrive here if you have 5+ years of experience as a Product Designer working on web-based products. Strong portfolio demonstrating end-to-end product design work, particularly for web products; mobile and desktop experience is a plus. Strong user-centered and product thinking, with the ability to connect user needs with business goals. Experience working in cross-functional product teams with Product Managers and Engineers. Ability to independently drive design work from an ambiguous problem to a shipped and validated solution. Experience using qualitative and quantitative insights to inform and validate design decisions. Strong interaction design, information architecture, prototyping, and visual design skills. Strong Figma skills and experience working with component-based design systems. Good understanding of front-end development principles and ability to collaborate effectively with engineers. Ability to think through complex user flows, responsive behavior, different user states, and edge cases. Excellent communication skills and ability to clearly explain and defend design decisions. English at B1/B2 level or higher, sufficient for day-to-day collaboration and presenting design decisions. It will be a plus Experience working on complex, high-traffic B2C products. Experience with product analytics, experimentation, and data-informed design. Experience contributing to design systems and maintaining design documentation. Experience using AI tools to accelerate product design workflows. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Location: Belgrade Job Overview Wargaming is looking for a Gameplay Engineer to work in the World of Warships Meta Team in our Belgrade office. The Meta Team develops and maintains long-term, player-facing systems, including meta-gameplay activities, player progression and property, combat missions, achievements, and statistics. The work spans the game client and supporting backend systems, focusing on meta-gameplay rather than moment-to-moment combat. Most feature and business logic is written in Python. We value clear thinking, the ability to understand unfamiliar systems, and a willingness to learn more than experience with any particular framework. You will join through a proven onboarding path and progressively take ownership of feature delivery in a large, established system. What will you do? Own features from requirements clarification and design through implementation, release, and maintenance Develop and maintain meta-gameplay features across client and backend systems Work with persistent state, asynchronous flows, and integrations Investigate bugs, state inconsistencies, and production issues Collaborate with game design, product, QA, production, and engineering teams What are we looking for? Practical software development experience, professional or through substantial self-directed projects Ability to understand and safely modify unfamiliar code Understanding of data modelling, stateful and asynchronous applications Ability to clarify requirements and communicate technical findings clearly Self-directed learning, curiosity, and strong communication skills Technical English for documentation, code, and comments Readiness to work in Belgrade, Serbia Technology stack Game server/client development: Python 2.7, proprietary pipelines Web development: Python 3.10+, asyncio What additional skills will help you stand out? Experience with FastAPI or Django Knowledge of Golang or C++ Understanding of frontend development with JavaScript/TypeScript Experience maintaining long-lived production systems Experience diagnosing concurrency, state, or integration issues Experience with generated code or schema-driven systems A game mod, private server, bot, emulator, or reverse-engineering project We are looking forward to welcoming specialists to the team. We are ready to mentor you and help with everything you may need to succeed in the role. Work mode Hybrid (3 days of work from the office). This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Colombia We are looking for a Senior Business Analyst to join the AML team in Colombia . Our AML system is live and covers what the bank needed to launch, and the next stage is to take it further: adapt it to credit, debit, and upcoming product scenarios, and build AML mechanics that reflect how the Colombian market actually works. In this role, you will dive deep into the existing system, design processes yourself, define requirements, and coordinate changes across a large group of stakeholders. You will work at the intersection of Compliance, Origination, credit and debit products, engineering, analytics, and operations, with direct impact on how AML works across the bank's products. Challenges that await you: Developing and adapting AML processes for the Colombian market: sanctions and PEP screening, transaction monitoring, case management, and suspicious activity reporting Defining requirements for AML scenarios across credit, debit, and new banking products Getting deep into the existing AML system and designing new processes end to end Writing business requirements, user stories, and acceptance criteria, and supporting implementation through development, UAT, and release Owning the health metrics of AML processes: registration conversion, the volume of customer contacts, case processing time, and the timeliness of regulatory reporting Analyzing registration-step conversion and the reasons behind customer contacts, and turning the findings into a prioritized backlog Working closely with Compliance Officers, Origination, and product teams to align AML requirements with product goals and customer experience Coordinating a large number of internal stakeholders and communicating status and risks to management Prioritizing initiatives and managing the backlog for the AML area What makes you a great fit: 4+ years of experience as a Business Analyst in fintech, banking, or another regulated environment A track record of owning a large area or a significant part of a product end to end — as a senior analyst or the only analyst driving a direction Ability to get into the technical side independently and understand how systems and processes are built Experience documenting requirements (BRDs, user stories, use cases) and modelling business processes (BPMN 2.0, UML) Strong cross-functional experience: working with many stakeholders and communicating directly with management, including above your immediate level Familiarity with prioritization frameworks (RICE, WSJF, MoSCoW) and backlog management Experience with Jira, Confluence, and Miro; basic SQL or spreadsheet skills for data validation B2 or higher English level for effective communication with an international team Your bonus skills: Experience in AML, anti-fraud, or financial crime prevention Experience launching or localizing a compliance framework in a new jurisdiction Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Colombia with assistance for the employee and their family Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Remote -- Romania MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – Romania (remote) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 160,000 - 200,000 RON per annum (gross salary) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Remote - Bulgaria MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Analytics AI Platform Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – Bulgaria (Hybrid, Sofia) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 30,000 - 38,500 Euro per annum (gross salary) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Procurement Category Manager (Workplace & Marketing) on the Procurement team, you will own and drive cost savings across indirect spend, with a focus on Workplace & Marketing categories. This role is critical to scaling Mistral's operations efficiently, as you define and execute procurement strategies for high-impact areas like workplace services, facilities, events, and marketing spend. You will collaborate closely with internal stakeholders to rationalize contracts, renegotiate agreements, and implement processes that reduce complexity and costs, directly shaping how Mistral optimizes its resources. WHAT YOU WILL DO - Lead global negotiations on indirect spend to drive measurable cost savings. - Define and execute procurement strategies tailored to Workplace & Marketing categories. - Identify and manage existing contracts, tools, and needs, including renewals and renegotiations. - Build and manage supplier panels to reduce fragmentation and improve governance. - Rationalize tool usage and consolidate internal needs with business owners. - Lead procurement projects end-to-end, from RFP to contractualization. - Contribute to the digitization of procurement through P2P tool adoption. WHAT WE'RE LOOKING FOR - At least 5 years of experience as a Buyer/Category Manager, ideally in Workplace, Marketing, or professional services categories. - Proven ability to negotiate with large providers in competitive or tense markets. - Strong project management skills to handle multiple initiatives and align stakeholders. - Assertiveness and communication skills to push back constructively and build trusted relationships. - Adaptability to thrive in dynamic, evolving environments. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY THE OPPORTUNITY Apollo Research works with most frontier AI companies (OpenAI, Anthropic, Google, Meta, Thinking Machines and others) to test their models before deployment and collaborate on fundamental scheming research. Our coding agent security product, Watcher, is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises.  We are looking for a security & control expert  to help us design better threat models and control protocols against AI adversaries, and improve the effectiveness and security of Watcher.  This is truly a "start-up role" in the sense that you have significant say in shaping the direction of the role. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Threat modeling for coding agents Develop threat models for coding agents under the assumption that they could be misaligned or compromised. This includes near-term threats like AI agents leaking private internal data and long-term threats like agents sabotaging safety research. Treat coding agents through the lens of insider risk: they have credentials, access to code, network access, and the ability to execute arbitrary actions, just like a malicious insider would (see Control agenda ). Map out kill chains and attack progressions similar to frameworks like MITRE ATT&CK, adapted for agentic AI. See e.g. the Agentic Loss-of-Control Threat Matrix for an example of a high-quality contribution. Build and maintain our “coding agent security levels” which define what level of robustness Watcher provides against different categories of failure modes. These levels should be concrete, testable, and usable both internally (to guide product priorities) and externally (to communicate our security posture to customers). Failure mode library and literature Maintain our library of coding agent failure modes and keep it comprehensive, accurate, and current. Stay up to date with the academic and industry literature on coding agent security, AI security, and adjacent fields (prompt injection, deception, accidental security implications, supply chain attacks on AI systems, etc.). Attack design for monitor development Design realistic attack trajectories and example exploits for monitor development and backtesting, work with the research team to ensure monitors are trained and evaluated against credible adversarial behavior. Trajectory adjudication Serve as security adjudicator for flagged trajectories. When monitors flag ambiguous agent behavior, determine whether it represents a genuine attack, a benign-but-unusual workflow, or needs deeper investigation, and feed those judgments back into monitor improvement. Red-teaming Watcher Red-team and improve Watcher's monitors and policies, document findings, and feed them into product improvement. Work with the technical research staff to build adversarial test suites into the backtesting pipeline. *This role is distinct from the AI Security Researcher role on Apollo's Infra & Security team, which threat-models Apollo's own internal systems and the agents operating on them. REPRESENTATIVE PROJECTS Develop a comprehensive coding agent threat model: Think deeply about all the ways in which coding agents could attack an organization. Compare this threat model to conventional threats from human insiders. Publish a detailed research piece describing the threat model building on existing research, e.g. from Redwood Research. Improve our database of failure modes: We have an internal database of 50+ failure modes of coding agents with detailed reports for all of them. For this project, you would provide an expert view on the current state of that database and suggest improvements. In the long run, you would maintain that database and be responsible for integration of new failures. Prioritize failure modes that Watcher should cover: Different parts of Watcher attempt to cover different threat models and attack strategies. Based on the results of the threat model project above, we want to ensure that each part of Watcher covers the most important failure modes in the most efficient way. For example, not all monitors require blocking capability and some failure modes might benefit from additional affordances like being able to disperse subagents. JOB REQUIREMENTS Must-haves 5+ years in security roles in a hands-on technical capacity (not purely GRC/compliance). You need to be able to think structurally about threat modeling and failure modes. You need to be able to read code, understand infrastructure, and evaluate technical controls, not just write policies. Direct experience with security research, threat modeling, or offensive security. Comfortable working in a small, fast-moving team, and comfortable owning ambiguous, open-ended research questions. Strong written communication this role produces threat models, security levels, and failure mode documentation that need to be clear and precise Nice-to-haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp-up time. Detection engineering, SOC, or incident analysis experience. A part of this role is judging whether flagged agent behavior is genuinely malicious, and people who have triaged real-world alerts might ramp much faster. Familiarity with insider threat programs or insider risk frameworks. The mental model of "the coding agent is a potentially malicious insider" is useful for this role and someone who has worked on insider threats will pick it up faster. Red teaming or offensive security background. Useful for the Watcher red-teaming responsibilities and for thinking adversarially about failure modes. Formal AI safety research background. Helpful but not necessary. We need security practitioners who can learn the AI safety context, not AI safety researchers who need to learn security. Explicitly not required Management experience. This is an IC role, at least initially. Specific certifications (CISSP, etc.). We care about demonstrated ability, not credentials. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY    Join our new AGI safety product team and help transform AI control research into practical tools that directly reduce risks from AI. As an Research Scientist (Control), you’ll work closely with Marius (CEO & currently leads the monitoring efforts), other control researchers and product engineers.    We are currently building Watcher,  a monitoring tool for coding agents. Our monitoring research agenda attempts to translate compute into safety at scale. You will join a small team and will have significant ability to shape the team & tech, and have the ability to earn responsibility quickly.  You will like this opportunity if you're passionate about using empirical research to make AI systems safer in practice. You enjoy the challenge of translating theoretical AI risks into concrete detection mechanisms. You thrive on rapid iteration and learning from data. You want your research to directly impact real-world AI safety. KEY RESPONSIBILITIES TLDR: you will design & implement control protocols (see e.g. [Greenblatt et al, 2023] ) and test them on real-world production systems at scale. Research & Development Design and conduct experiments to test monitor effectiveness across different failure modes and agent behaviors Build and maintain evaluation frameworks to measure progress on monitoring capabilities Build and maintain high-quality datasets to train and test monitors on Iterate on monitoring approaches based on empirical results, balancing detection accuracy with computational efficiency Contribute newly discovered coding agent failure modes to Apollo's shared failure mode library (owned by the AI Security & Control Researcher/Engineer) as they surface during monitor design, evaluation, and iteration Stay current with research on AI safety, agent failures, and detection methodologies Stay current with research into coding security and safety vulnerabilities Fine-tuning & Monitor Development Fine-tune open-source models to create efficient monitors for high-volume production environments Design and build agentic monitoring systems that autonomously investigate logs to identify both known and novel failure modes Incorporate adversarial findings from red-teaming campaigns into monitor design and evaluation, closing the loop between attack and defense JOB REQUIREMENTS Must-haves 2+ years of experience conducting empirical research with large language models or AI systems Strong experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed / developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding, agent design, fine-tuning, or RL Strong Python programming skills Demonstrated ability to work independently on open-ended research problems Good-to-haves Familiarity with AI safety concepts, particularly agent-related risks Familiarity with computer security, e.g. security testing and secure system design Experience fine-tuning language models or working with smaller open-source models Previous work building developer tools or monitoring systems Publications or contributions to AI safety or ML research Experience with production log systems or production log analysis We want to emphasize that people who feel they don't fulfill all of these characteristics but think they would be a good fit for the position nonetheless are strongly encouraged to apply. REPRESENTATIVE PROJECTS Hierarchical monitoring for coding agent security : Design a multi-layer monitoring system for detecting security vulnerabilities introduced by coding agents. Start by cataloging common security failure modes (e.g., hardcoded credentials, SQL injection vulnerabilities, insecure API calls). Build specialized monitors for each category, then create a hierarchical system where fast, efficient first-pass monitors flag potentially problematic code for deeper investigation by more sophisticated monitors. Design a backtesting strategy for Watcher: Validate the system on synthetic test cases and real agent outputs, iterating to optimize the tradeoff between detection rates and false positives while maintaining low latency for most monitoring decisions. Fine-tune an open-source model to be a great monitor: Take an open-source model and fine-tune it on our large dataset of coding agent failures with high-quality ground truth labels. Test different fine-tuning techniques and measure generalization to our held-out data. Compare against prompted baselines on accuracy, cost and latency. The goal is to fine-tune models to lift the pareto frontier of monitors. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $204,000 – $385,000; London : £136,000 – £258,000. We will be looking to meaningfully raise salaries soon. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Columbia, United States Keller Executive Search is recruiting on behalf of a specialized rubber and polymer manufacturer. Our client is seeking a Vice President of Engineering to guide product development, technical strategy, and engineering excellence across its manufacturing portfolio. Key Responsibilities Establish the organization’s engineering and product development strategy. Lead product engineering, process engineering, research, and technical services teams. Direct the development and commercialization of rubber and polymer products. Improve material performance, product consistency, manufacturability, and technical quality. Evaluate new compounds, production technologies, equipment, and automation opportunities. Oversee engineering standards, technical documentation, testing, and change controls. Partner with customers on specifications, applications, and technical problem-solving. Manage engineering budgets, project priorities, staffing, and capital recommendations. Protect intellectual property and support patent development where appropriate. Requirements Bachelor’s degree in chemical, mechanical, materials, polymer, or manufacturing engineering. Advanced engineering degree preferred. 12+ years of progressive engineering experience. 5+ years leading engineering managers or multidisciplinary technical teams. Experience within rubber, polymers, elastomers, chemicals, or related manufacturing. Knowledge of product development, materials testing, and manufacturing processes. Demonstrated success bringing technical products from concept to production. Benefits Salary: $150,000 to $180,000 annually, plus annual bonus Annual bonus opportunity of up to 15% Medical, dental, and vision insurance 401(k) plan with 5% company match Relocation assistance where applicable 20 days of paid time off Paid holidays and year-end shutdown days Engineering conference and education allowance Patent recognition program Company-paid life and disability insurance Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp’s $200B+ business spend dataset, our flagship Ramp AI Index https://ramp.com/data/ai-index tracks the AI economy through actual business spend data. We help CFOs and finance teams understand what these trends mean for their businesses, and our research is regularly cited by outlets including the Financial Times, The Wall Street Journal, and Bloomberg. You will work with Ara Kharazian https://www.linkedin.com/in/akharazian/, lead economist. We’re hiring an analytical, resourceful researcher to own and expand this work: run the Ramp AI Index, develop new metrics on AI spending and adoption, explore questions about AI ROI, and extend our research internationally. You’ll turn findings into clear reports, charts, presentations, and interactive tools that help CFOs and finance teams make better decisions. You will also build our customer-facing research function: developing Ramp’s outlook on AI, meeting with customers and prospects, and translating our data into practical recommendations for business planning, budgeting, and AI strategy. You’ll partner with the growth team to package and distribute this work through reports, web content, presentations, and events that reach finance leaders. This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on. WHAT YOU NEED - 5+ years of experience in an analytical role, such as investment banking, equity or industry research, consulting, business operations, data science, or economics. We care about evidence of strong analysis, clear communication, and ownership across projects. - Strong perspectives on the economics of AI, economic policy, new media, and writing - Strong knowledge of SQL - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Active reader of the news in economics, business, and AI trends - An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ramp.com/data http://ramp.com/data ourselves) NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Experience within the payments and financial technology space BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco Office Please note that all communications regarding this position will be sent exclusively from an email address ending in @planetscale.com Any correspondence relating to this role will only originate from this domain. PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both PostgreSQL and Vitess clusters. Vitess is an open-source database clustering system for horizontal scaling of MySQL that enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. We're bringing the same scaling power to PostgreSQL with Neki, our sharded PostgreSQL product. We're hiring a software engineer to build the internal tools that run PlanetScale. You'll automate the manual work that slows a growing company down: incident response, on-call, support workflows, onboarding, and the dozens of other small things that take up our time. Location This role is in-office only at our San Francisco headquarters. You must already live in the SF Bay Area and be able to work from the office most days. This is not a remote role. We do not offer relocation. We do not sponsor visas. If you need to relocate, work remotely, or need visa sponsorship, please do not apply. What You'll Do Build AI-enabled tools and agents that automate manual work across engineering, support, and operations Write bots and integrations for Slack, PagerDuty, and the other systems we run the business on Build internal dashboards that give the team visibility into what's actually happening Integrate LLM APIs and AI coding tools directly into the internal systems you build Ship small, useful things fast. Iterate based on what people need Work directly with senior engineers and leadership to find friction and fix it Own your projects end to end: design, build, ship, support For example, you might: Automate our incident response process Build automations for customer support Build internal dashboards that measure our service quality What We're Looking For Required: 0-2 years of professional software engineering experience, or equivalent project or internship work Solid fundamentals in at least one of TypeScript, Ruby, or Go Comfortable building with AI coding tools and LLM APIs. This role is AI-enabled work, not just AI-assisted Comfort writing scripts, small services, or automations that solve a real problem Clear written communication Already based in the San Francisco Bay Area. We do not relocate for this role. In-office at our San Francisco headquarters most days. This is not remote. Authorized to work in the US without sponsorship. We cannot sponsor visas. Nice to Have: Experience with Slack's API, GitHub Actions, or similar automation platforms Exposure to Terraform or Kubernetes A side project, bot, or tool you built to automate something in your own life About You You fix the annoying thing to save time. You'd rather ship something small this week than plan something big for next quarter. You ask good questions, take feedback well, and want to learn from engineers more senior than you. You want to be in the room with your team, not on a call. You're excited about AI tools not just to write code faster, but to design and ship whole systems. Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $120,000 - $160,000 USD