Location: Paris, France
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.
À propos du poste
Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code.
Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous.
En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège.
Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et
de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise.
En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un
marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires.
Responsabilités :
Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion
Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions
Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client
Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels
Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA
Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements
Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail
Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel
Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic
Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales
Profil recherché :
Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire)
Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés
Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle
Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés
Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets
Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client
Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients
Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés
Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis
Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe
(Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien
About the role
Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.
Responsibilities:
Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures
You may be a good fit if you have:
6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Strong Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Strong project management skills and ability to manage multiple customer relationships
Passion for AI and interest in responsible development of advanced systems
Experience working in and building a growing region, while navigating across time zones with US-based headquarters
A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player
Fluency in French, Spanish and English
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:
€150.000
—
€190.000 EUR
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.
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.
Paris, France; You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones; Experience working in and building a growing region, while navigating across time zones with US-based headquarters
Location: Lagos, Nigeria
The Treasury Manager is responsible for managing Renmoney’s liquidity, funding, and treasury risk framework, ensuring adequate liquidity to support loan growth, optimizing funding costs, and maintaining strict compliance with CBN regulations applicable to finance companies and microfinance-regulated entities (where applicable).
The role provides leadership in liquidity forecasting, scenario analysis, stress testing, funding strategy execution, ALCO support, and stakeholder management, while upholding the highest standards of integrity, governance, and regulatory compliance.
Key Responsibilities
1. Liquidity Management & Forecasting
Own and manage Renmoney’s daily, weekly, and medium-term liquidity position
Develop and maintain cash flow forecasts aligned with loan disbursement and repayment cycles
Ensure adequate liquidity buffers in line with internal policy and regulatory expectations
Monitor liquidity ratios, early-warning indicators, and funding gaps
2. Scenario Analysis & Stress Testing
Design, implement, and review liquidity stress tests and scenario analyses (base, adverse, and severe)
Assess the impact of funding withdrawals, market shocks, and portfolio stress
Recommend contingency funding actions and risk mitigation strategies
Present stress-testing outcomes and recommendations to ALCO and Senior Management
3. Funding Strategy, Markets & Execution
Develop and execute funding strategies across bank borrowings, Commercial Paper (CP), REPOs, and alternative funding structures
Demonstrate a strong understanding of money market instruments and derivative products used for funding and risk management
Monitor market conditions, pricing trends, investor appetite, and rollover risks
Optimize cost of funds within approved liquidity and risk limits
4. Commercial Paper (CP) & Capital Markets
Support the structuring, issuance, and management of Commercial Paper programmes
Liaise with issuing houses, trustees, rating agencies, and investors
Monitor CP maturity profiles and refinancing risks
Ensure compliance with regulatory, documentation, and disclosure requirements
5. Banking & Counterparty Relationship Management
Build and maintain strong relationships with deposit money banks, financial institutions, and market counterparties
Negotiate funding lines, pricing, covenants, and terms
Manage counterparty concentration and diversification
Act as Renmoney’s primary treasury interface with banking partners
6. ALCO & Management Reporting
Prepare and present comprehensive ALCO packs, including liquidity dashboards, funding analysis, stress-testing results, and market outlook
Provide clear, actionable recommendations to ALCO
Track and implement ALCO decisions and resolutions
7. Risk Management, Controls & Regulatory Compliance
Ensure full compliance with CBN regulations, including requirements applicable to Microfinance Banks and finance companies (as relevant)
Ensure adherence to internal treasury policies, approval limits, and delegation of authority
Maintain strong treasury controls, segregation of duties, and audit trails
Support internal audit, external audit, and CBN examinations
8. Stakeholder Management (Internal & Regulatory)
Collaborate effectively with Finance, Risk, Compliance, Operations, and Business Teams
Support engagement with regulators and respond to regulatory inquiries
Translate regulatory developments into operational and policy actions
9. People Management, Ethics & Leadership
Lead, mentor, and develop treasury team members
Review and validate treasury analyses and reports
Foster a culture of integrity, accountability, professionalism, and compliance
Requirements
Education
Bachelor’s degree in Finance, Accounting, Economics, or Business Administration
MBA or MSc Finance – added advantage
Professional, Regulatory & Mandatory Certifications
Mandatory / CBN-Recognised
Microfinance Certification Programme (MCP) – mandatory or in progress, in line with CBN requirements for Microfinance Bank and regulated financial institution staff
Professional Certifications (Strongly Preferred)
CIBN (Associate or Full Member)
ACI Dealing Certificate or ACT (AMCT / CTP)
CFA (Level I or II) or FRM – added advantage
Evidence of continuous professional development
Analytical & Technical Skills
Advanced liquidity modelling and forecasting
Strong scenario analysis and stress-testing expertise
Deep understanding of money market instruments, CP market, REPOs, and funding derivatives
Strong quantitative and financial analysis capability
Technical & Computer Skills
Advanced Microsoft Excel (financial models, dashboards, sensitivity analysis)
Strong PowerPoint skills for ALCO and senior management presentations
Experience with treasury management systems and core banking platforms
People Skills & Personal Attributes
High ethical standards and integrity
Strong leadership and mentoring ability
Sound judgment and risk awareness
Ability to work under pressure in dynamic environments
Communication, Presentation & Stakeholder Skills
Strong presentation skills at ALCO and the executive level
Ability to explain complex treasury and market concepts clearly
Strong negotiation and relationship-management capability
7–10 years of experience in Treasury, Financial Markets, or Banking / Non-Bank Financial Institutions
Strong exposure to liquidity management, funding structures, CP issuance, and ALCO processes
Experience in a microfinance or consumer lending environment is an advantage
Key Performance Indicators (KPIs)
Liquidity adequacy and stability
Funding cost optimization
Effectiveness of stress testing and scenario analysis
Compliance with regulatory and treasury limits
Quality of ALCO reporting and stakeholder engagement
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring a Senior Design Researcher for our Design Team.
User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company.
This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards.
This role sits in the design team reporting to the User Science Manager.
Location:
This role will be based remotely in the EMEA region.
The role entails
Conducting user research: Developing user insights in diverse formats, identifying and championing user needs across product areas.
Sharing findings concisely and skillfully: Supporting different teams with well-matched research presentations and clear documentation systems.
Promoting and shaping a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows.
Building research scalability and interoperability: Owning research ops infrastructure, making key methodologies more accessible, actionable, and repeatable.
Fostering a learning culture: Contributing to the evolving definition of User Science through user-centered training, resource development, and outreach.
What we are looking for in you
Exceptional academic track record from both high school and university
Bachelor’s or Master’s degree in a related field such as Design, Human-Computer Interaction, Engineering or similar, or a compelling narrative about your alternative chosen path.
Deep research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Exceptional depth in either qualitative or quantitative skills.
Strong technical curiosity: An alignment with and interest in open-source culture and the ability to engage deeply with technical subjects and stakeholders.
Proficiency in visual design and/or information design: Capability to translate complex data or ideas into strong, convincing visuals, ensuring that insights are both accessible and memorable.
A talent for storytelling and collaboration: Outstanding ability to craft narratives that effectively explain research findings and resonate with diverse audiences.
A knack for turning chaos into clarity: Meticulous organization and archivist skills, with the ability to transform scattered findings or disparate processes into cohesive, structured knowledge systems.
Portfolio: A robust portfolio showcasing a range of user research and/or design projects that highlight the ability to derive actionable insights from research and directly influence 1) product design and strategy or 2) organizational change.
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: New York, NY
Workplace: OnSite
ABOUT THE COMPANY
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
OUR ETHOS
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
ABOUT THE TEAM
The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat.
WHAT YOU’LL DO
- Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis
- Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring
- Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams
- Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback)
- Build robust monitoring and alerting for model performance, latency, data quality, and drift
- Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases
- Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
- Partner with platform teams to meet strict SLAs for availability, latency, and accuracy
- Collaborate closely with talented engineers, data scientist and compliance teams across Rain
- Work in a fast-paced environment on a rapidly growing product suite
- Solve complex problems at the intersection of ML systems, data, and reliability
WHAT WE'RE LOOKING FOR
- 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains
- A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Proven track record designing and maintaining ML models at scale
- Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling
- Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems
- Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques
- Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale
NICE TO HAVE, BUT NOT MANDATORY
- Domain expertise in banking, payments, or transaction monitoring
- Experience with graph-based or network-level fraud detection techniques
- A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field
- Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science)
- Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts
THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production.
This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue.
The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more.
Responsibilities
Build and ship user-facing and/or backend features for Claude Security
Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products
Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build
Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis
Collaborate with research teams to identify and develop new model capabilities for security applications
You may be a good fit if you:
Contribute across the stack, from front-end UI to back-end infrastructure
Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems
Enjoy fast iteration and are energized by prototyping new ideas
Are comfortable working closely with research and go-to-market teams
Have strong communication skills and can work effectively across functions
Have 7+ years of experience as a software engineer
Strong candidates may also have:
Experience building client-side terminal applications
Experience developing cybersecurity products
Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields
Experience building skills, plugins, or hooks in Claude Code or similar tools
Experience building with Claude Managed Agents or similar frameworks
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We’re looking for strong backend engineers who love building developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day.
YOU MAY BE A FIT IF:
- You’ve built and shipped modern web applications end-to-end
- You’re comfortable working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics
- You have deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes and training and inference for large language models (LLMs) and diffusion models
- You have experience with at least one of the following: billing/payments systems, B2B SaaS tooling, enterprise software, or LLM/diffusion model inference and training workloads
- You have strong product instincts and think about customer problems, not just tickets
- You’re able to participate in our on-call rotation and respond to production incidents
- You make good tradeoffs between shipping fast and building for scale
- You’re able to work in person in our NYC or SF office
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive (Asset & Wealth Management) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading asset managers, wealth management firms, and institutional investors. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across asset management, wealth management, and institutional investment organizations. You'll leverage deep A&WM sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into research, portfolio management, client advisory, and operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for A&WM decision-makers.
The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across asset managers, wealth managers, and institutional investors, and running the strategies to win them. By driving deployment of Anthropic's emerging products into A&WM enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across asset management, wealth management, and institutional investment organizations, carrying and exceeding an individual revenue target
Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Research, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion
Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue
Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate A&WM-specific needs — research, portfolio management, client advisory, operations — into product and roadmap input
Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion
Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events
Minimum qualifications
5+ years of enterprise sales experience in asset management, wealth management, or institutional investing, with demonstrated success covering buy-side or wealth advisory organizations
A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS)
Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within asset and wealth management
Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Driven, coachable, and on a steep growth trajectory
Preferred qualifications
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers or wealth management firms
Deep familiarity with regulated-industry selling — data governance, fiduciary/compliance-driven procurement, security review, and the governance expectations of buy-side and wealth organizations
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience navigating long, multi-stakeholder enterprise cycles typical of institutional investment and wealth advisory procurement
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: India
HeadSpin, a PartnerOne company, is an AI-powered testing platform that enables real-world testing on SIM-enabled mobile devices, browsers, Smart TVs, and OTT devices across 50+ global locations, with flexible cloud and on-premises deployment options. It offers deep performance insights through AI-driven analytics, 130+ built-in KPIs, session-based data, and features like waterfall UI, root cause analysis, UX monitoring, and regression intelligence. Supporting 60+ automation frameworks, including Appium, Selenium, Playwright, and XCUITest, HeadSpin ensures seamless integration without vendor lock-in. With enterprise-grade security, a robust REST API library, and no need for SDK or code changes, it simplifies testing across workflows. Businesses using HeadSpin report 68% less QA time, 90% fewer production issues, 30% faster development, and improved load times and user retention.
About the Role
You will create scripts using Appium, and Selenium using Python/java. You will become Appium Pro certified and work with top-tier customers. You must enjoy testing mobile UIs and automating them in both Android and iOS.
What You'll Do
Write automation code for mobile applications
Capture data and complete analysis on mobile applications
Create dashboards with the data captured and provide it to the customer
Assist customer with automation where applicable
Understanding of iOS and Android applications and UI structure and building tooling to automate interactions
Deep knowledge of Appium and Appium Desktop internals
A working understanding of mobile frameworks like Espresso and XCTest
Developing/evolving production-grade web services and agents written in Python and Tornado
Being a member of a highly motivated team pushing all the boundaries in the mobile testing space
Maintain automation test framework to ensure continuous quality of products
Maintain existing testing codebases
Collaborate with software engineers and testers to develop rigorous test cases
Identify, record, document thoroughly and track bugs
Ensure the quality of all code and products produced by the company
Help customers get the best value out of Headspin
Performs other duties as required
What You Need
BS in Software Engineering, Computer Science or a similar field
0-2 years of hands-on experience in software development or SQA
Self-motivated, creative, focused, results-oriented, problem solver
In-depth knowledge of at least one programming language (Python, Java)
Strong skill set with MySQL or other databases. Ability to read & write SQL queries
Good with Linux/Unix environment
Strong knowledge of software QA methodologies, tools and processes
General knowledge of Appium (mobile automation tool) or Selenium (web automation tool)
Proficiency with automation testing tools
Strong verbal and written communication abilities
Android and or iOS development
Agile / Scrum Experience
Strong troubleshooting skills
Ability to collaborate with engineers and content creators
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs.
Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities:
Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions
Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
Lead hands-on technical workshops and code reviews with customer engineering teams
Identify common design patterns and contribute insights back to our Product and Engineering teams
Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
Travel occasionally to customer sites for workshops, implementation support, and building relationships
Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space
You may be a good fit if you have:
4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply.
Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
Strong programming skills with proficiency in Python or TypeScript and experience building production applications
Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
Passion for advancing safe, beneficial AI systems through creative technical applications
Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$200,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Home based - Worldwide
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
We are hiring engineering leaders to work across the breadth of our Ubuntu Engineering organization - leaders who care deeply for quality, performance and resilience in software, and have a proven track record for building, nurturing and developing high performing engineering teams.
This leadership track includes roles for Managers and Senior Managers . At Canonical, managers are expected to stay technical and close to the code as well as the processes and people around them.
Our teams integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments.
The four key teams that ship Ubuntu are the
Foundations
: maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities
Server:
leading the design, evolution and future of our Ubuntu Server distribution
Desktop:
driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter
Debcrafters:
a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today
You'll be accountable for your technical roadmap, and responsible for your team: helping them grow as engineers, do important and satisfying work, and have a great time while doing it. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution
At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies
Location
: We have remote roles open in every time zone.
The role entails
Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our leads are:
Leading their teams in elevating the Linux developer and user experience
Designing, building and shipping high quality, performant software in Rust, Go and Python
Demonstrating sound engineering principles through architecture, development and code reviews
Taking responsibility for planning, estimation and execution
Working with product management to define the vision and strategy for Ubuntu
Setting expectations with other engineering teams, senior management, and external stakeholders
Offering coaching, mentoring, technical feedback and hands-on career development
Contributing to upstream and neighboring open source projects
Authoring and improving technical and community documentation
What we are looking for in you
An exceptional academic track record from both high school and university
Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
Ability to drive and deliver technical work streams going above and beyond expectations
Lead and coach others to deliver exceptional engineering work
A demonstrated passion for open source software
Significant experience with Rust, Go, Python, Flutter or C/C++
Professional written and spoken English
Excellent communication and interpersonal skills
Result-oriented, with a personal drive to meet commitments
Ability to travel twice a year, for company events up to two weeks each
Nice-to-have skills
Experience managing technical teams
Experience contributing to or leading open source projects
Experience with Linux distributions/distribution engineering
Experience with software packaging and distribution mechanisms
Performance or Security Engineering experience
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We are seeking a highly technical and experienced Engineering Manager to one of our business critical engineering team. This role is ideal for a hands-on leader who thrives in a fast-paced environment, has a deep understanding of collaborative document editing technologies, and is passionate about building scalable, high-performance software. As the Manager, you will oversee the development and delivery of innovative features, ensure technical excellence, and mentor a team of talented engineers.
The Role:
- Technical Leadership: Provide hands-on technical guidance to the team, ensuring best practices in software development, architecture, and design.
- Team Management: Lead, mentor, and grow a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement.
- Product Development: Drive the development of new features and enhancements, ensuring high performance, scalability, and reliability.
- Collaboration: Work closely with product managers, designers, and other engineering teams to align on goals, prioritize initiatives, and deliver exceptional user experiences.
- Code Quality: Oversee code reviews, ensure adherence to coding standards, and advocate for clean, maintainable, and testable code.
- Innovation: Stay up-to-date with the latest trends and technologies in collaborative editing, cloud infrastructure, and web development, and apply them to improve our product.
- Operational Excellence: Ensure the stability and performance of the Docs platform, proactively addressing technical debt and optimizing system architecture.
Qualifications:
- Technical Expertise:
- Proficiency in Node.js, relational databases, and at least one modern frontend framework.
- Experience with AWS cloud services and infrastructure.
- Leadership Experience:
- Proven track record of managing and scaling engineering teams.
- Strong ability to mentor and develop technical talent.
- Problem-Solving Skills:
- Ability to tackle complex technical challenges and make data-driven decisions.
- Communication:
- Excellent verbal and written communication skills, with the ability to articulate technical concepts to non-technical stakeholders.
- Education & Experience:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
- 7+ years of software engineering experience, with at least 1 year in a leadership role.
#LI-Remote
#LI-MAV
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Mississauga
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
What your day-to-day will look like:
Identify, prioritize and execute tasks in the software development life cycle.
Work with business to iterate over software requirements.
Develop tools and applications by producing clean, efficient code.
Automate tasks through appropriate tools and scripting.
Analyze and debug systems.
Perform validation and verification testing in a test-driven manner
Review the work of others, and invite others to review your work.
Collaborate with internal teams and vendors to fix and improve products.
Ensure software is up-to-date with latest technologies.
Work with distributed computing systems like Apache Hudi and Trino for big data processing.
What qualifications we’re looking for:
Experience with
distributed computing tools like Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies.
Experience with
distributed storage
systems like ADLS, HDFS, S3, DLT etc.
Familiarity with Hadoop, Spark, Databricks or other distributed computing systems.
Understanding of data partitioning and sharding techniques.
Knowledge of distributed computing principles and how they apply to large-scale data processing.
Experience in writing clean code that performs well at scale using languages such as Python, Java etc.
Knowledge of relational databases (e.g. Microsoft SQL Server, MySQL).
Solid experience writing RESTful API endpoints.
Absolutely love TDD and have working knowledge of it.
Proficient in GIT.
Experience using system and performance monitoring tools (e.g. New Relic, DataDog).
Excellent organization, critical-thinking and personal leadership skills
Self-starter with the ability to deliver with minimal supervision.
Being okay with the uncomfortable feeling that comes from learning new things.
Team player.
Analytical mind with problem-solving aptitude.
Proven experience as a great Engineer.
BSc/BA in Computer Science or a related degree
.
Bonus points for:
Experience with distributed computing
Experience writing code/scripts in Python
Experience with Spring Boot.
Nice to have React, Selenium automation and cloud experience.
Experience with Docker, Kubernetes and Istio.
Experience with Ansible.
Experience with Jenkins CI/CD pipeline.
Linux and IP networking knowledge.
Experience with AWS/Azure cloud services or equivalent.
Experience with SAML, OAuth and OpenID Connect.
Experience working on a SaaS product.
Experience with Service Oriented Architecture.
Knowledge of scripting languages such as Python, Bash or Groovy.
On-call experience with production grade systems.
Has mentored others in a professional setting.
Generative AI Code Assistants
- Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset.
#LI-AJ1
#LI-hybrid
#LI-AV1
#LI-hybrid
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,00-158,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We are looking for Software Engineers to join our team. This is a specialized, high-impact role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will not just be building the automated "speedometer and diagnostic" suite for our next-generation AI infrastructure; you will be defining the roadmap, driving key technical decisions, and taking full ownership of the future of this work.
RESPONSIBILITIES
- Benchmarking: Evaluate, run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse, disaggregated serving).
- DevEx Improvement: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance "dev machines" optimized for model experimentation.
- Tool Development: Build and contribute to open-source tools such as InferenceMAX and genai-bench to automate model evaluation, benchmarking and analysis.
- System Profiling: Use profilers like PyTorch Profiler, NVIDIA Nsight Systems and py-spy to collect performance profiles, identify bottlenecks, and debug the compute/networking stack.
- Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance.
- Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions and build release workflow automation for the model runtimes stack.
- Optimization Automation: Build tools to find the "Pareto frontier"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload.
REQUIREMENTS
This is a mid-senior, high leverage role. We care about your technical depth, strong communication skills to drive cross-team efforts, ability to navigate vague requirements and mentor other engineers. We want to talk to you if you have:
- A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.
- An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the "breaking point" of a system.
- Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements.
- Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have.
WHY THIS ROLE
- Direct Impact: Your tools will be the gatekeeper for what defines "good" performance for our customers.
- Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess.
- High Ownership: As the lead of a small team, you will have the autonomy to build tools from scratch and contribute to open-source projects.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Yerevan, Armenia
Description
Imagine Live, part of the Digitain Group, specializes in live gaming and streaming worldwide. With a fresh take on live dealer games and premium game show-style content, we deliver top-tier entertainment in a professional, dynamic environment. We are committed to growth, development, and excellence in the gaming industry.
Now we welcome
Middle Manual QA Engineer
to join our impactful, fast-growing team. The ideal candidate will join the mission of improving a world-class iGaming platform and be responsible for testing applications of various types and user segments, monitoring the procedures, implementing the quality standards.
Responsibilities
Review documentation and analyze requirements
Create detailed, comprehensive and well-structured test plans and test cases
Review, validate requirements and technical specifications in order to ensure timely, relevant and meaningful feedback
Report and document technical issues, report bugs and errors to development teams
Conduct post-release/ post-implementation testing
Stay up-to-date with new testing tools and test strategies
Effectively collaborate with team members to achieve the best results
Requirements
University degree in Computer Science, Engineering or in a related field
At least 4 years of working experience as a Quality Assurance engineer
Experience with Postman and Swagger,
JMeter
Good knowledge of SQL for database testing, data validation, and troubleshooting
Thorough understanding of QA methodologies and best practices, as well as Web Application architecture
Ability to document and troubleshoot errors
Deep understanding of the software development lifecycle
Self-organized, detail-oriented, with strong analytical and research skills
Ability to prioritize tasks and quickly adjust in a rapidly changing environment
Great communication and time-management skills
Good knowledge of English language
Location: Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia; Madinah, Saudi Arabia
Eram Talent is seeking a skilled Network Engineer to join our growing team in Saudi Arabia. In this role, you will be responsible for designing, implementing, and managing network solutions that support various business operations and optimize performance. Your expertise will help ensure effective network connectivity, security, and reliability across the organization's infrastructure.
You will work closely with IT teams to understand their networking needs and work to deliver effective solutions that enhance organizational performance and support strategic objectives.
Responsibilities
Design and implement network systems, including LAN, WAN, and wireless networks.
Configure and manage networking devices like routers, switches, and firewalls.
Monitor network performance and stability, identifying areas for improvement and troubleshooting issues.
Develop and implement network security protocols to safeguard data and technology infrastructure.
Collaborate with IT teams to assess network needs and install necessary upgrades.
Prepare and maintain documentation of network configurations, standards, and procedures.
Stay updated on emerging networking technologies and trends that can improve operations.
Requirements
Bachelor's degree in Computer Science, Network Engineering, or a related field.
Minimum of 3 years' experience in network engineering or related roles.
Relevant certifications such as CCNA, CCNP, or equivalent are highly desirable.
At least 2 year of IT professional experience, with experience in networking.
Experience working with BGP, EIGRP, and ISIS (mandatory).
Experience with network-related equipment, including the use of sniffers, network monitoring tools, etc.
Operating and troubleshooting experience with the following Cisco products:
Switches: 6500, 4500, 3750, 3560, 2960
Technical knowledge of the following technologies and protocols:
VLAN
VTP
Trunk (802.1q)
Spanning Tree
Jeddah, Saudi Arabia; Tabuk, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia; Madinah, Saudi Arabia
Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; New Delhi, India; Cairo, Egypt
Eram Talent is currently looking for a knowledgeable and motivated Data Center Technician to join our team in Saudi Arabia. Data Center Technician perform 24x7 shifts for Data Centers. Handle incidents and ensure safety requirements are met. Monitor environmental, power and server hardware. Handle cabling tasks for copper and fiber. Control access into the data centers, ensure work permits and material gate passes are issued. Install equipment in racks and document changes.
Key Responsibilities:
Operate and support Data Center facilities on a 24x7 shift basis, ensuring safety and uptime.
Perform racking, de-racking, and physical installation of servers, network devices, power, KVM, and cabling.
Handle copper and fiber cabling in compliance with TIA-942 standards.
Monitor and record environmental and facility systems including power, HVAC, fire detection/suppression, temperature, and humidity.
Perform break/fix support for Windows and Linux servers in coordination with system owners and hardware vendors.
Conduct basic OS installation and server configuration.
Ensure data center security, including access control, visitor logging, escorting, and work permit compliance.
Interface with vendors (HP, Dell, Sun, Supermicro) for hardware implementation and troubleshooting.
Prepare end-of-shift reports and maintain accurate documentation of changes.
Participate in on-call rotation, night/weekend shifts, and other operational duties as assigned.
Requirements
Qualifications:
Education: Bachelor’s degree or diploma in Computer Science, IT, Electrical Engineering, or Mechanical Engineering.
Experience: Minimum 5 years of IT experience, with at least 3 years in Data Center operations.
Hands-on experience with server hardware installation, troubleshooting, and cabling (copper and fiber).
Intermediate knowledge of Windows Server and Linux installation, configuration, and troubleshooting.
Basic understanding of data center electrical and mechanical systems, including UPS, power circuits, and HVAC.
Familiarity with data center safety, security, and operational SOPs.
Proficiency in MS Office and basic documentation/reporting.
Ability to work shifts, nights, weekends, and on-call schedules.
Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; New Delhi, India; Cairo, Egypt
Location: US/Global (Remote)
Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way.
Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries.
Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build.
Shelby is a high-performance object storage platform with a global namespace, purpose-built for AI and large-scale, data-intensive workloads. It enables organizations to store data once and access it from anywhere—bringing data closer to compute while delivering cloud-grade performance at significantly lower cost.
As AI infrastructure becomes increasingly distributed, organizations need data platforms that support training, inference, and global collaboration without complex or expensive data replication. Shelby’s “write once, read anywhere” architecture simplifies global data movement across regions, teams, and compute environments.
Designed for secure, high-throughput, read-optimized access patterns, Shelby plays a critical role across the AI data lifecycle—from data acquisition to model training to inference. The platform can also be deployed within select datacenters, enabling flexible, hybrid infrastructure strategies.
Shelby is built by a team with deep experience in large-scale infrastructure, distributed systems, and production-grade platforms.
The Role
We’re hiring a
Head of Enterprise GTM
to define and lead Shelby’s enterprise go-to-market motion from the ground up.
This is a
0→1 role
for someone who has taken complex AI, data, or cloud platforms and turned them into real enterprise adoption and revenue. You will translate Shelby’s technical capabilities into clear business value, land initial customers, and shape how the platform is understood and deployed within large organizations.
You will operate as both a strategist and an operator—owning early revenue, building the narrative, and laying the foundation for a scalable enterprise motion.
Responsibilities
Enterprise GTM Strategy
Define and execute Shelby’s positioning across AI infrastructure, data platforms, and distributed compute. Translate technical capabilities into clear enterprise use cases and ROI.
Strategic Enterprise Sales
Own and close early lighthouse accounts. Lead complex, multi-stakeholder sales cycles across technical and executive buyers within large organizations.
Platform Commercialization
Turn Shelby from a technical platform into a clear enterprise solution by shaping use cases, pilots, and adoption pathways.
Partnerships & Ecosystem
Develop relationships with AI, cloud, and infrastructure partners to accelerate adoption and expand Shelby’s footprint.
Cross-Functional Leadership
Work closely with product and engineering to align customer needs with roadmap, positioning, and deployment strategy.
Build the Motion
Establish early playbooks, define ICPs, and build toward a repeatable enterprise sales engine.
What We’re Looking For
10+ years in enterprise GTM, sales, or partnerships across AI, data, cloud, or infrastructure
Experience at platforms like
Google Cloud
,
Microsoft
, or
Salesforce
preferred
Proven ability to take complex technical platforms from
early stage to enterprise adoption
Strong track record selling into Fortune 500 environments with multi-stakeholder complexity
Ability to engage both technical and executive audiences and translate platform capabilities into business outcomes
Experience operating in ambiguous, zero-to-one environments
Strong communication, storytelling, and deal execution skills
Why Shelby
Define how a next-generation AI infrastructure platform is brought to market
Own enterprise adoption from first customer to scaled growth
Work at the intersection of AI, data, and distributed compute
Partner with a team building category-defining technology
Our Benefits
100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees)
Equipment of your choice
Flexible vacation time, 11 holidays, and floating company days off
Competitive Salary
Protocol Token Grants
401k matching (US Employees)
Fun and inclusive in-person and digital events
Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need.
We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes.
To protect yourself, please be aware of the following:
We will
never
ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment.
We will
always
communicate with you using our official company email domain.
We will
never
request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive (Banking) at Anthropic, you'll join the foundational team introducing our frontier AI platform to the world's leading retail and commercial banks. You'll drive adoption of safe, frontier AI by securing strategic, enterprise-scale deals across retail banking, commercial banking, and consumer finance organizations. You'll leverage deep banking sales expertise to grow revenue while becoming a trusted advisor to industry stakeholders — helping them embed AI into customer service, underwriting, risk, and back-office operations workflows, and uncovering its full range of capabilities. Working closely with Product and Marketing, you'll continuously sharpen our value proposition, sales motion, and market positioning for retail and commercial banking decision-makers.
The ideal candidate is energized by building a new category in an established, highly regulated industry — identifying high-potential accounts across retail and commercial banks, and running the strategies to win them. By driving deployment of Anthropic's emerging products into banking enterprises, you'll help these organizations unlock new capabilities while advancing the responsible development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across retail banking, commercial banking, and consumer finance organizations, carrying and exceeding an individual revenue target
Engage personally with C-level and senior technical stakeholders (CIOs, CTOs, Heads of Risk, Heads of Data/AI) — building business cases and value narratives, and navigating complex procurement, security, regulatory, and legal review through to production deployment and expansion
Identify and prioritize high-potential opportunities within your accounts, building and executing account plans that turn strategic relationships into committed revenue
Run a disciplined pipeline and forecasting cadence — accurate deal inspection, clear next steps, and predictable, coachable execution across a high-value, long-cycle book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate retail and commercial banking needs — customer service, underwriting, risk, operations — into product and roadmap input
Codify winning use cases, proof points, and reference stories from your deals, partnering with Marketing and Enablement to help scale them across the broader FSI motion
Orchestrate cross-functional and partner motions with Customer Success, Legal, Partnerships, and cloud partners to deliver a seamless customer experience, and represent Anthropic as a visible, trusted voice with customers and at industry events
Minimum qualifications
5+ years of enterprise sales experience in retail or commercial banking, with demonstrated success covering bank or consumer finance organizations
A track record of carrying and exceeding quota in enterprise sales of technical, complex products (API-first platforms, cloud infrastructure, data/ML platforms, or enterprise SaaS)
Experience winning and growing strategic enterprise accounts, including building C-suite relationships, within retail and commercial banking
Operational rigor across complex, multi-stakeholder sales cycles — balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders — CIOs, CTOs, CDOs, Heads of AI/ML — and experience pairing effectively with solutions architects and applied AI teams
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large retail or commercial banks
Deep familiarity with regulated-industry selling — data governance, regulatory and compliance-driven procurement, security review, and the governance expectations of banking organizations
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience navigating long, multi-stakeholder enterprise cycles typical of banking procurement
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
География найма не уточнена
УдалённоseniorHome based - EMEA
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
ГибридseniorГеография найма не уточнена
ГибридSan Francisco; Toronto; New York; Montreal; Seattle