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Location: Baku Workplace: onsite ABOUT YOU We are looking for a junior application security specialist to join a growing security team at Xsolla. This is a hands-on role where you will work closely with senior specialists to identify, assess, and help remediate security vulnerabilities across our products and infrastructure. You will be involved in day-to-day AppSec work - code reviews, vulnerability triage, threat modeling, and security testing. You are curious, detail-oriented, and eager to develop deep expertise in application security. You do not need to have all the answers, but you ask the right questions and follow through. This is a strong learning environment. You will be exposed to real-world security challenges in a payment platform operating at scale, and supported by experienced security specialists who will help you grow.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Triage Security Findings - Assess incoming bug bounty reports and scanner findings. Evaluate validity, calculate real severity, and escalate appropriately with clear written summaries. Assist with Vulnerability Assessments - Participate in security assessments of web applications and APIs. Help identify and document risks in new features and existing systems. Write Clear Security Documentation - Document findings, reproduction steps, and remediation guidance in a way that engineering teams can act on. Support Threat Modeling - Participate in threat modeling sessions. Learn to identify trust boundaries, data flows, and attack surfaces in system designs. Monitor Security Tools - Help operate SAST , DAST , and dependency scanning tooling. Track findings, reduce noise, and support remediation workflows. Support Code Reviews - Review code for common vulnerability classes under guidance of senior specialists. Learn to identify security issues across PHP, Python, and Go codebases. Stay Current - Follow developments in the security community. Bring awareness of new vulnerability classes, CVEs, and attack techniques relevant to our stack. What You Bring Web Security Fundamentals - Solid understanding of common vulnerability classes: OWASP Top 10, CSRF , XSS , IDOR , SQL injection, open redirect, authentication and session management weaknesses. You understand root causes, not just names. Web and Browser Fundamentals - Solid understanding of how web applications work: HTTP request/response cycle, client-server model, REST APIs, how browsers handle same-origin policy, cookies and their attributes, and CORS . This is the foundation everything else builds on. Security Testing Tools - Hands-on experience with Burp Suite or similar web application security testing tools. You have used them to intercept, modify, and replay requests — not just run automated scans. Vulnerability Documentation - Able to reproduce a vulnerability and write it up clearly: reproduction steps, proof of concept, and impact statement. Findings that engineering teams cannot reproduce or understand do not get fixed. Secure Development Awareness - Familiarity with foundational secure coding concepts: input validation, output encoding, parameterized queries, and least privilege. Code Readability - Ability to read and follow code in at least one language relevant to web security - PHP, Python, JavaScript, or Go. You don't need to be a developer, but you need to follow logic and spot security-relevant patterns. Analytical Thinking - You reason through problems methodically. You can explain not just what a vulnerability is but why it exists, how it is exploited, and what fixing it actually requires. Clear Written Communication - You write findings and summaries that are precise, reproducible, and useful to the engineers who need to act on them. Curiosity and Initiative - You dig into problems rather than stopping at the surface. When something looks wrong, you investigate before concluding Nice to Have Participation in bug bounty programs or CTF competitions; Basic scripting ability for automation - Python or Bash; Familiarity with CI/CD pipelines and where security tooling fits; Exposure to cloud environments - GCP, AWS, or Azure; Relevant coursework or certifications - eWPT, CEH , PortSwigger Web Security Academy progress, or similar entry-level credentials. Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Ми шукаємо фахівця до Automation Department підрозділу на позицію Інженер з масштабування виробничого обладнання.   NPI Automation Department впроваджує нові пристрої у виробництво, розробляючи системи тестування та прошивки для кожного продукту. Команда забезпечує старт масового випуску з високими показниками якості та готує інженерну базу для масштабування. Необхідні знання та навички:  Технічний бекграунд Досвід пайки компонентів на друковані плати Базові знання аналогової електроніки Вміння читати електричні схеми Завдання:  Основна задача монтаж та розключення електроніки обладнання згідно схем,або згідно попередній зразків Виконувати розклбчення згідно електричних схем Робити напайку компонентів на плати Запуск обладнання після розключення та тестування Передача обладнання на QA Доопрацювання обладнання по зауваженням від QA Ремонт обладнання наявного в розпорядженні відділу Пропонуємо:  Можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво; Місце у стрімко зростаючій компанії з вмотивованою професійною командою; Конкурентну заробітну плату; Медичне страхування; Корпоративні заняття з англійської мови; Можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax; Знижки на продукти компанії та партнерів Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Location: Kampala; Uganda Workplace: OnSite ABOUT THE COMPANY Mogo's mission is to enable upward social mobility for people in diverse communities around the world by providing entrepreneurs who are excluded from traditional banking systems with access to credit. By combining asset financing, fintech, AI-based underwriting, and proprietary car portals, we enable these local entrepreneurs (motorcycle taxi riders, Uber/Bolt drivers, and small business owners) to find and purchase their own vehicles.   ABOUT THE ROLE We are looking for a Financial Controller to help achieve regional financial efficiency by building and owning the Uganda country finance function, largely from scratch. The role will own monthly P&L, balance sheet, and cash flow reporting, stand up robust accounting procedures, manage auditors and tax authorities, and integrate the country into Eleving Group’s financial ecosystem.   WHAT YOU WILL DO - Establish robust accounting and financial procedures and processes to ensure effective financial and accounting reporting. - Own monthly P&L, balance sheet, and cash flow reporting, ensuring accuracy, timeliness, and compliance. - Partner with local and regional stakeholders, providing financial insights and analysis to guide commercial and operational decision-making. - Manage relationships with auditors, tax authorities, and other financial partners. - Collaborate closely with the regional HQ (finance team) to ensure smooth integration into Eleving Group’s financial ecosystem. - Lead initiatives to drive accounting and financial improvements. - Monitor adherence to local regulations and international accounting standards, proactively mitigating financial risks.   WHAT YOU HAVE - Higher education in Finance, Accounting, Economics, or Business Administration - Previous experience in the fields of finance, business administration, project management, and similar - Understanding of IFRS accounting principles (B/S, P/L, CF) - Advanced Excel skills and familiarity with financial software and databases - Strong analytical and problem-solving skills - Attention to detail with a commitment to accuracy - Ability to manage multiple projects and meet tight deadlines - Proficiency in English - Can-do attitude and ownership mindset WHAT WE OFFER - Competitive salary and results-oriented bonus system - Personal and professional development - Monthly housing allowance - Relocation support (flights, visas, vaccination )

Location: Global - Remote About the role Mission: Emulate the full kill chain of the real-world adversaries that target our business. As our Red Team Expert, you plan and execute full-scope, objective-driven operations from external initial access through phishing, C2, lateral movement, privilege escalation, and Active Directory domain compromise, all the way to actions on objective against our most critical assets. You operate covertly against a mature, monitored environment, defeat modern EDR/XDR and detection controls, and prove exactly how far a determined attacker could get. You then turn every operation into concrete detection engineering wins and defensive improvements alongside our Blue Team. What you'll be doing Scope, plan, and execute full-scope red team engagements and long-horizon adversary emulation campaigns mapped to real threat-actor TTPs and the MITRE ATT&CK framework. Execute the complete attack chain: OSINT and reconnaissance, initial access (phishing, payload delivery, public-facing exploitation), establishing and operating covert C2, persistence, privilege escalation, lateral movement, and domain/cloud takeover. Develop and deploy custom tooling, payloads, and C2 infrastructure; build and maintain resilient, OPSEC-safe redirector and command-and-control environments. Research and weaponize EDR/XDR evasion and bypass techniques — in-memory execution, process injection, AMSI/ETW tampering, and defense-evasion tradecraft — against CrowdStrike, SentinelOne, and Microsoft Defender XDR. Compromise Active Directory and hybrid/cloud identity: Kerberos attacks, ACL and delegation abuse, ADCS exploitation, and lateral movement across on-prem and cloud infrastructure (AWS). Run assumed-breach, insider-threat, and social-engineering scenarios, including physical and office-network intrusion paths where in scope. Work directly with the Blue Team to replay attack chains, validate and tune detections, and measurably close detection and response gaps. Document full attack narratives, kill-chain diagrams, and reproducible proof-of-concept steps that let defenders rebuild and detect every stage. Translate operational findings into prioritized, actionable remediation and detection-engineering guidance for IT, Network, and Security teams. Track operational metrics: objectives achieved, detection and response times, dwell time, evasion success rates, and remediation follow-through. Contribute to maturing Sporty's red team capability and threat-informed defense, sharing tradecraft with internal offensive and defensive staff. What you'll bring Experience (required) 5+ years of hands-on experience in offensive security, perimeter penetration testing, network security assessments, red teaming, or adversary emulation. Strong understanding of external asset discovery, DNS configuration vulnerabilities, and public IP network routing. Practical experience auditing and testing Linux and Windows environments and underlying network services. Proven ability to perform adversary emulation and bypass techniques against modern EDR/XDR solutions. Familiarity with testing physical office network hardware, routers, switches, firewalls, and workplace IT systems. Ability to turn external exposures and technical network risks into clear, actionable fixes for IT and Security teams. Experience with core web vulnerabilities and limited, scoped testing of modern API interfaces. Strong scripting ability in Python, PowerShell, Bash, or similar to automate perimeter mapping, emulation workflows, and asset discovery. Good understanding of scanning, reconnaissance, and interception tools. Strong documentation skills. Certifications (one or more required) OffSec: OSCP / OSCP+, OSEP, OSWE, OSED, OSCE3 (or legacy OSCE) , OSWA, OSMR, OSEE Hack The Box: CPTS , CBBH, CWEE, CAPE Red Team / Active Directory: CRTO, CRTL (Zero-Point Security); CRTP, CRTE, CRTM (Altered Security) GIAC: GPEN, GXPN, GWAPT, GRTP, GCPN Other recognized: PNPT (TCM Security), eCPPT / eWPTX / eMAPT (INE), BSCP (PortSwigger), CREST CRT / CCT, CPTE Community and competitive track record Bug bounty recognition: bounty awards, hall-of-fame listings, or published CVEs through HackerOne, Bugcrowd, Intigriti, YesWeHack, or vendor-run programs. CTF achievements: active player on a ranked CTFtime team, Hack The Box Hall of Fame or Pro Lab completions, or finalist/podium placements in recognized competitions (DEF CON CTF, Google CTF, HTB Business CTF, SANS Holiday Hack, and similar). What’s in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview process Remote video screening with our Talent Acquisition Team Offline Take home assignment Remote video interview with Team Members (60 Mins) Final discussion with the hiring manager (60 mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours. We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.

Задачи: — Проводить исследования рынка и конкурентов для новых стратегических B2B-направлений; — Общаться с B2B-клиентами (Customer Discovery, интервью, качественный сбор фидбека); — Готовить сильные материалы для команд Sales/BizDev (питчи, FAQ, онбординг, обработка возражений); — Детально анализировать метрики после запуска (доход, адаптация фич, фидбек). Требования: • Опыт в B2B product-facing роли (Product / Business Analyst, PM, Pre-sales, Implementation); • Четкое понимание B2B-моделей, коммерческой упаковки и GTM-процессов; • Отличный английский язык и системное, структурное мышление; • Использование AI в ежедневной работе (исследования, саммари, документация) для ускорения процессов; • Плюсом будет практический опыт в доменах Fintech, SaaS или трейдинге. Условия: ✅ Полная медицинская страховка для твоего здоровья; ✅ Комфортный и современный офис (свежие фрукты каждый день, пицца по средам, снэки по пятницам); ✅ Частичная компенсация занятий спортом и бесплатные уроки греческого языка; ✅ Забота о семье: Welcome Baby Bonus и Baby Box, а также приятные ваучеры на день рождения!

Responsibilities: • Form and prioritize product backlog • Manage roadmap and stakeholder communication • Set up audio capture system • Automate protocol generation • Coordinate teams and integrate analytics into CRM Requirements: • three+ years as PO/PM • two+ years deploying ML/AI products • Experience with cross-functional teams • Understanding AI product lifecycle • ASR, NLP, audio classification Optional requirements: • Whisper • NeMo • Kaldi

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's researchers generate and depend on enormous amounts of data — training runs, evaluations, RL transcripts, annotations etc... The Research Data Platform team builds the systems that make that data easy to produce, find, query, and trust. We work in two modes: we build platform components that other systems plug into (for example, a metrics library that training frameworks integrate to record and retrieve run data), and we own core datasets end to end (for example, the data pipeline behind RL transcripts). As the team's tech lead, your job starts with our users. You'll work directly with researchers — and with the engineers who support them — to understand how they actually work, where managing data slows them down, and where a well-built platform component or a well-curated dataset would change what's possible. You'll turn what you learn into technical direction for the team, in partnership with the team's manager, who owns priorities and people. A central ambition you'll drive: a small set of canonical, well-documented datasets — starting with the core data model for RL — that researchers trust and standardize on, rather than every team managing its own copies. You'll spend your first few months close to the code and close to users: shipping improvements in our core systems, embedding with research teams, and building your own map of their workflows. As the team grows, this role has a natural path into formal people leadership for someone who wants it. Responsibilities Work directly with researchers and the engineers supporting them to understand their workflows, identify the highest-leverage opportunities, and shape what the team builds next Set the technical direction for the team across our platform and our datasets Design and build platform components that other teams plug into — libraries, services, and interfaces such as the metrics library used by training frameworks Own core datasets end to end: the pipelines that produce them, the schemas that define them, and the documentation and guarantees that make researchers trust them Drive convergence toward canonical datasets — including the core data model for RL transcripts — that research teams standardize on Lead complex, multi-quarter projects that span several systems and teams, staying hands-on in the code Raise the team's technical bar through design reviews, mentorship, and the quality of your own work You may be a good fit if you: Have built and operated data-intensive systems at scale — pipelines, storage layers, query systems — with strong instincts for data modeling and schema design that hold up as usage grows Have set technical direction for a team, or owned the architecture of a data platform that other teams build on Treat internal users as customers: you do the discovery work, iterate with users, and measure success by adoption rather than by shipping Understand that researchers aren’t typical internal customers — the work is exploratory by nature, workflows differ from team to team, and requirements are discovered through experiments rather than specified up front Can build for that motion — keeping interfaces stable and data trustworthy while use cases change underneath you, and judging when a quick, disposable solution serves research better than a durable one Lead through influence — aligning engineers and stakeholders without relying on formal authority Are results-oriented and pragmatic, willing to do unglamorous work when it's the highest-leverage thing Are excited about learning the fundamentals of machine learning research (deep ML expertise is not required) Care about the societal impacts of your work Strong candidates may also have Experience with large-scale ETL and columnar or analytical storage (e.g., Spark, BigQuery, ClickHouse, DuckDB, Parquet) Experience with metrics or experiment-tracking systems, or high-volume time-series data Experience with dataset management, cataloging, or lineage tooling Built developer tooling or internal data platforms for demanding technical users — including in domains like quantitative trading, where fast-moving, exploratory data work looks a lot like research A working knowledge of machine learning Worked in, or closely with, an ML research lab Interest in — or experience with — people management and growing engineers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dammam, Saudi Arabia We are seeking a motivated Industrial Engineer to support project execution and performance improvement initiatives. The successful candidate will assist in project coordination, analyze performance data and KPIs, and contribute to continuous improvement efforts to ensure projects are delivered efficiently and on schedule. Key Responsibilities Support the planning, coordination, and execution of engineering projects. Monitor and analyze project KPIs and performance metrics. Coordinate with internal teams, contractors, and stakeholders to resolve project-related issues. Assist in continuous improvement initiatives using Lean and Six Sigma principles. Prepare project reports and maintain accurate documentation. Qualifications Bachelor's degree in Industrial & Systems Engineering or a related field. Fresh graduate or up to 2 years of relevant experience. Internship, co-op, or training in project management, operational excellence, or performance management is an advantage. Knowledge of Lean, Six Sigma, and project management principles. Strong analytical, problem-solving, and communication skills. Full professional proficiency in English. Preferred Certifications Six Sigma Certification PMP Certification (preferred)

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 Technical Project Lead on the HPC team, you will oversee the delivery of Mistral’s high-performance computing projects from deployment to production. This role exists to ensure our HPC clusters are delivered on time, within budget, and aligned with technical and operational goals. You will manage critical resources, negotiate with data centers and infrastructure providers, and facilitate collaboration across teams. Based in Paris or London (with frequent travel to Paris if remote), your work will directly impact Mistral’s ability to scale its AI infrastructure. What You Will Do - Oversee the delivery of Mistral’s HPC clusters, from hardware deployment to production readiness. - Strategically manage project timelines, deliverables, and milestones to ensure on-time completion. - Allocate resources and manage budgets to support project goals. - Negotiate with data centers and infrastructure providers to secure necessary agreements. - Facilitate cross-functional collaboration to align technical and operational objectives. - Communicate project progress and strategic direction to stakeholders. - Implement quality control measures to ensure adherence to project standards. What We're Looking For - Technical degree in computer science, general engineering, or a related field. - Proven experience in large infrastructure project management, preferably in HPC or related fields. - Deep program management experience with a track record of delivering complex projects. - Excellent communication and stakeholder management skills. - Strong negotiation skills for vendor and partner engagements. - Ability to work collaboratively in cross-functional team 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: Palo Alto; New York; San Francisco; Montréal Workplace: Remote 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 At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies.   What You Will Do - Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads. - Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms. - Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs. - Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations. - Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform.   What We're Looking For - Strong Linux system administration experience at scale. - Proficiency in Slurm and/or Kubernetes to manage workloads effectively. - Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus. - Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions. - Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape. 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: Paris; Stockholm; Madrid; Amsterdam; London; Berlin Workplace: Remote 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 At Mistral, you’ll build and support the infrastructure behind sovereign AI. As a Site Reliability Engineer in the Fleet team, you’ll work at the intersection of frontier models, products, and compute, ensuring our large-scale Linux environments, cloud systems, and AI workloads run reliably. This role is about more than just systems, it’s about enabling customers to leverage Mistral’s sovereign AI solutions with confidence, while helping us evolve toward modern, cloud-native technologies. What You Will Do - Own and operate the infrastructure powering Mistral’s sovereign AI, including Linux environments, cloud systems, and AI workloads. - Troubleshoot and resolve incidents to ensure high availability, performance, and security for our models, products, and compute platforms. - Collaborate with research, product, and infrastructure teams to align systems with AI and customer needs. - Provide technical support to customers and internal teams, diagnosing issues, guiding solutions, and ensuring smooth operations. - Explore and contribute to modern cloud-native technologies, including Kubernetes and GPU orchestration, as we evolve our sovereign AI platform. What We're Looking For - Strong Linux system administration experience at scale. - Proficiency in Slurm and/or Kubernetes to manage workloads effectively. - Familiarity with distributed storage, high performance networking, cloud security, or GPU/AI/ML workloads is a plus. - Customer-focused mindset: Ability to diagnose, explain, and resolve technical issues for users leveraging Mistral’s AI solutions. - Pragmatic, collaborative, and hands-on - you thrive at the intersection of AI, infrastructure, and customer success, and are eager to drive modernisation in a fast-evolving landscape. 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: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As a Partner Solutions Architect, you will be part of the Professional Services team within Customer Success, working in direct partnership with Chainguard's partner ecosystem - including system integrators, resellers, and technology partners. In this role, you will enable and empower partners to successfully implement Chainguard solutions and build secure software on behalf of their customers. You will embody our company value, "We are customer obsessed" by ensuring partners are equipped to deliver an exceptional experience to end users at scale. What you’ll do: Lead technical enablement programs for partners, equipping their teams to successfully implement and drive adoption of Chainguard Containers and Libraries on behalf of their customers Partner with the alliances and channel team (Partner Account Managers, AEs, SEs, and CSMs) to understand partner capabilities, pain points, and go-to-market motions in order to drive joint strategies, value realization, and mutual growth Develop and maintain partner-facing technical content, including integration guides, reference architectures, and best practices, to enable partners to scale Chainguard implementations independently Support partners in post-sales technical engagements, including co-delivery of implementations, architecture reviews, and escalation support for complex customer environments Act as the primary technical liaison between the partner ecosystem and Chainguard's Product and Engineering teams, conveying partner-sourced requirements and feedback to influence roadmap prioritization Build and maintain a deep understanding of partner technical competencies, identifying gaps and designing enablement programs to close them Maintain partner-level architecture documentation and share best practices and lessons learned across the organization Be a team player - collaborate, teach, and learn from both the Chainguard team and the broader partner community What we're looking for: Minimum 4+ years experience in a post-sales role supporting clients - preferably with experience in a partner-facing technical role, such as partner engineering, alliances, or channel solutions architecture 8+ years of experience developing high-performance multi-tier applications Strong experience in Kubernetes and Containers Experience working with or within a partner ecosystem (SIs, ISVs, resellers, or technology alliances) and an understanding of how partners go to market Ability to communicate technical information in both highly technical and non-technical ways depending on the audience - from partner engineers to executive stakeholders Demonstrated ability to create scalable technical enablement programs and content for partner audiences Continuous learner with a strong intellectual drive for excellence and the desire to develop solutions to complex problems At least a Bachelor's Degree with a focus in Computer Science, Software Engineering, or Information Technology Strong working experience with software development processes, practices, and software engineering design concepts Ability to work effectively with cross-functional engineering teams, alliances, and business partners Excellent written and verbal communication skills Ability to travel up to 25% of the time Compensation: up to $195,000 base salary + bonus + equity About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own a part of the agentic stack and are the go-to person for it across the company You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 5+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and operated well in ambiguous, unstructured environments Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas for what we should build next. You will work with enterprises, ISVs, and digital-native companies running training, simulation, synthetic data, evaluation, and model serving workloads. By understanding their systems and helping them reach production, you will uncover requirements that inform our Cloud, Serverless, and Token Factory teams. The goal is to connect needs across Physical AI industries with product decisions, including improvements that benefit enterprise customers more broadly. You will also investigate opportunities for new Nebius products. You will develop hypotheses about unmet needs, examine demand and existing alternatives, and build prototypes to test with customers. Your findings will help determine which opportunities deserve investment and what an initial product should deliver. The work is hands-on. You will write code, deploy and benchmark models, build agents, and troubleshoot infrastructure alongside customer engineers. The position is part of the Physical AI go-to-market team, with close collaboration across customers, NVIDIA, Product, and Engineering. What you will do Work with customer engineers to understand their workloads, infrastructure constraints, and production requirements. Translate Physical AI use cases into requirements that Cloud, Serverless, and Token Factory teams can use, backed by measurements and customer evidence. Identify enterprise adoption barriers and common needs across industries. Work with Product and Engineering to assess gaps and test improvements with customers. Build agents that set up, run, and debug Physical AI workloads, connecting them to clusters, schedulers, storage, and model servers. Deploy and benchmark open-weight models with serving stacks such as vLLM or SGLang, then tune them for customer workloads. Build prototypes and run technical evaluations to answer specific questions about performance, reliability, and product fit. Assess demand and existing alternatives for opportunities outside current product teams’ scope, then build where there is a clear market. Debug across Python, agents, model servers, Kubernetes, GPUs, networking, and storage. Turn successful setups into reusable scripts, deployments, and short guides. What we are looking for Three or more years in software engineering, cloud infrastructure, DevOps, ML infrastructure, or similar, including ownership of a production service, cluster, or platform. Experience working directly with customers or external engineers to scope problems, run evaluations, and explain technical tradeoffs. Ability to turn an unfamiliar customer problem into concrete infrastructure requirements. Practical experience building with LLMs or agents, at work or independently, with an understanding of their internals (e.g., transformers, KV caching, or tool calling) and how to evaluate their outputs. Familiarity with enterprise infrastructure requirements, including identity and access management, network isolation, security, monitoring, and reliability. Strong Python and Linux skills: you can read unfamiliar code, automate a setup, and debug from logs and metrics. Practical experience with containers and Kubernetes, including configuration, networking, storage, and scheduling. A record of getting useful software working with incomplete requirements, measuring results, and following through with the people using it. Helpful experience Enterprise customer engineering, solutions architecture, consulting, or taking a new product from an initial customer problem to adoption. Distributed compute such as Ray, Slurm, Spark, or multi-GPU jobs. NVIDIA GPU workloads, including memory management, drivers, CUDA, NCCL, and monitoring. Model serving with vLLM, SGLang, TensorRT-LLM, or TGI. Robotics, simulation, synthetic data, reinforcement learning, world models, or tools such as Isaac Sim, Isaac Lab, Omniverse, and Cosmos. Infrastructure automation and enterprise integrations, including Terraform, CI/CD, private connectivity, and identity federation. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,500 — $224,300 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away. ABOUT THE ROLE As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable. This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on: - AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability) - Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation - Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality WHAT YOU’LL ACHIEVE - Partner with your team to prototype and ship an AI-powered product improvement - Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability. - Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes. SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite   A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away. ABOUT THE ROLE As an Early Career Software Engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We’re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that aligns best with your interests and where you can make the highest impact. WHAT YOU’LL ACHIEVE - Plan, build, and ship product features from conception to launch, then iterate based on insights and customer feedback. - Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations. - Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research. - Build internal tools and platform improvements that help all engineers ship quickly and safely. - Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs. AREAS YOU MIGHT WORK ON - Acquisition: Landing pages, signup/auth flows, pricing + plan selection, workspace creation, invitations during onboarding, and experiments that improve conversion and time-to-value. - Adoption / Activation: In-product education, templates, reminders, onboarding tours, lifecycle nudges, and measurement frameworks that increase depth of use, retention, and habit formation. - Experimentation & Measurement (cross-cutting): A/B testing infrastructure, analytics event quality, dashboards, and iteration loops that let teams learn quickly and ship confidently. SKILLS YOU'LL NEED TO BRING - You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. - Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. - Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $130,000 - $150,000 By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Director of Product to lead our Financial Incentives team. This role will report to the Head of Product. Your team owns the financial layer that drives world-class engagement amongst Garner members and steers them to top-performing providers by making Garner the most convenient and affordable way to pay for healthcare. You will lead 3-4 teams responsible for the member-facing incentive experience, our portfolio of payment mechanisms (card, HRA, HSA contributions, direct provider payment, and emerging alternatives), employer-facing plan design and coverage policies, and the core platform that adjudicates claims, moves money, and reports on it. Today, Garner reimburses $100M+/yr and growing in patient bills annually: you will be responsible for making that experience delightful for members, trusted by employers, and resilient at scale. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the strategy and roadmap for Garner’s Financial Incentives portfolio, spanning the member incentive experience, the suite of payment mechanisms (card, HRA, HSA, direct provider payment), employer-facing plan design and coverage policies, and the underlying claims adjudication, payments, and ledger platform. Build, mentor, and scale a high-performing product management team (4 PMs and growing) and develop the next generation of PM leaders at Garner. Act as Garner’s internal and external-facing executive-level subject matter expert on financial incentives, payment mechanics, and the operational systems that move money reliably at scale. Partner closely with Engineering, Design, Operations, Finance, Legal, Compliance, Clinical, and GTM teams to ship trusted, mission-critical products. Define the metrics that matter and rally the organization around them. Make sharp prioritization decisions across a portfolio with high regulatory complexity, high customer expectations, and significant 0-to-1 product surface area still to build. The ideal candidate has: 8+ years of product management experience, including 3+ years managing and developing product managers. Demonstrated experience building and shipping financial products at scale — payments, ledgers, card programs, consumer financial experiences, or other money-movement systems. Deep expertise in at least one of payment infrastructure (rails, settlement, reconciliation, ledger) or consumer financial products (card, rewards, reimbursement, HSA/HRA-like instruments) at scale. Track record of leading both 0-to-1 product development and the scale-up of production systems, comfortable building net-new platforms and improving systems already moving real money. Strong technical fluency—can credibly engage engineering on system design, data models, APIs, and reliability tradeoffs. Exceptional written and verbal communication, with the ability to drive alignment with executives, internal teams, and external partners. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target base salary range for this position is $323,000 - $379,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Senior Product Manager to lead our Payment Foundations team, responsible for building a secure, reliable, and scalable platform for money movement across Garner. This role is the core platform enabling Garner’s financial incentives, which drives best-in-class health and financial outcomes for patients and employers. This role reports to the VP of Product Management. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own Garner’s payments platform strategy and roadmap, including payment systems, financial ledger, payments data products, and payment operations tools. Be the internal and external owner for Garner’s payment partner and vendor integrations, including our payment processing and card vendors, bank partners, and HSA provider integrations. Drive development of APIs, integrations, and platform capabilities that enable teams across Garner to initiate, track, and reconcile money movement safely and reliably. Establish company-wide standards for compliance, financial reporting, and incident response. Partner with product, engineering, operations, legal, and finance to enable 0-to-1 payments products and use cases. Example projects include designing a financial ledger to record member account balances and transactions, developing automated integrations with Health Savings Account providers to make deposits on behalf of members, and expanding reimbursement methods for members through Paypal or Venmo. The ideal candidate has: 5+ years of Product Management experience, including at least one role owning a technical or platform product end-to-end Strong systems thinking and detail orientation — you instinctively look for edge cases and reason from first principles about how systems can fail Strong technical background, with experience owning technical products APIs, integrations, and data systems Superb written and verbal communication, with the ability to translate complex technical concepts for engineering, business, and external stakeholders Bonus: experience building financial or other highly-regulated products, or large-scale financial systems A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you’ll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $222,000 - $245,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .