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Location: Bulgaria Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're looking for a Senior Backend Engineer who thinks like a product builder, thrives in a collaborative, cross-functional environment, and is passionate about creating robust, scalable financial infrastructure. You'll be part of a domain team where various engineering crafts (Backend, Frontend, Mobile, ML/AI engineers, and QA) work together to own and evolve a shared product area that delivers real value to hundreds of thousands of businesses across Europe.   About You and What You'll Do:   You're pragmatic, learn quickly, and have a proven track record of shipping products that matter. You communicate clearly across disciplines and genuinely enjoy the dynamics of a cross-functional team where everyone contributes to solving the same customer problems. Above all, you're curious – about the product, the users, the business, and how your technical decisions impact all three.   As a product-minded backend engineer, you don't just implement tickets. You understand the "why" behind what you're building, challenge assumptions when needed, and proactively identify opportunities to create better outcomes. You're comfortable discussing trade-offs with product managers, explaining technical constraints to business stakeholders, and collaborating with frontend and mobile engineers to design elegant end-to-end solutions.   You have deep expertise in .NET and C# with a strong appreciation for maintainable, scalable code, and distributed architectures. But more importantly, you know when to apply that expertise and when simpler solutions serve the product better. You've built data-intensive applications before and understand the concepts of working in a regulated environment.   You take ownership not just of your code, but of the outcomes. You move without being prompted, whether that's jumping into a customer issue, improving team processes, or mentoring colleagues. You're curious about adjacent domains – you might peek at the frontend code, ask questions about the ML models, or dive into analytics to understand how features perform.   Quality is non-negotiable for you. Automated testing, thorough code reviews, and security best practices are fundamental to how you work. You balance technical excellence with pragmatism, always keeping the end user and business goals in mind. Your experience includes: At least 5 years of professional backend development with a product engineering mindset Excellent knowledge of .NET platform and C# Hands-on experience architecting and evolving distributed systems in production Proven ability to collaborate effectively with product managers, designers, and engineers from other disciplines Strong business acumen – you understand how your work connects to company objectives Clear, concise communication in English across technical and non-technical audiences A builder's mentality: you care deeply about shipping great products, not just writing great code Our tech stack Backend: .NET/C#, PostgreSQL, Redis, RabbitMQ, Kafka, Kubernetes, GCP. You'll work alongside teams using React (Web), Swift (iOS) / Kotlin (Android), Python/ML frameworks, and modern test automation tools (Playwright, Appium). Recruitment flow: Recruiter Interview First Technical Interview System Design Interview Team Fit Interview (peer interview) Offer What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Vilnius Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're looking for a Senior Backend Engineer who thinks like a product builder, thrives in a collaborative, cross-functional environment, and is passionate about creating robust, scalable financial infrastructure. You'll be part of a domain team where various engineering crafts (Backend, Frontend, Mobile, ML/AI engineers, and QA) work together to own and evolve a shared product area that delivers real value to hundreds of thousands of businesses across Europe.   About You and What You'll Do:   You're pragmatic, learn quickly, and have a proven track record of shipping products that matter. You communicate clearly across disciplines and genuinely enjoy the dynamics of a cross-functional team where everyone contributes to solving the same customer problems. Above all, you're curious – about the product, the users, the business, and how your technical decisions impact all three.   As a product-minded backend engineer, you don't just implement tickets. You understand the "why" behind what you're building, challenge assumptions when needed, and proactively identify opportunities to create better outcomes. You're comfortable discussing trade-offs with product managers, explaining technical constraints to business stakeholders, and collaborating with frontend and mobile engineers to design elegant end-to-end solutions.   You have deep expertise in .NET and C# with a strong appreciation for maintainable, scalable code, and distributed architectures. But more importantly, you know when to apply that expertise and when simpler solutions serve the product better. You've built data-intensive applications before and understand the concepts of working in a regulated environment.   You take ownership not just of your code, but of the outcomes. You move without being prompted, whether that's jumping into a customer issue, improving team processes, or mentoring colleagues. You're curious about adjacent domains – you might peek at the frontend code, ask questions about the ML models, or dive into analytics to understand how features perform.   Quality is non-negotiable for you. Automated testing, thorough code reviews, and security best practices are fundamental to how you work. You balance technical excellence with pragmatism, always keeping the end user and business goals in mind. Your experience includes: At least 5 years of professional backend development with a product engineering mindset Excellent knowledge of .NET platform and C# Hands-on experience architecting and evolving distributed systems in production Proven ability to collaborate effectively with product managers, designers, and engineers from other disciplines Strong business acumen – you understand how your work connects to company objectives Clear, concise communication in English across technical and non-technical audiences A builder's mentality: you care deeply about shipping great products, not just writing great code Our tech stack Backend: .NET/C#, PostgreSQL, Redis, RabbitMQ, Kafka, Kubernetes, GCP. You'll work alongside teams using React (Web), Swift (iOS) / Kotlin (Android), Python/ML frameworks, and modern test automation tools (Playwright, Appium). Recruitment flow: Recruiter Interview First Technical Interview System Design Interview Team Fit Interview (peer interview) Offer What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Remote, Canada Workplace: remote 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. The Role Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.   You are a talented Senior Applied Researcher in AI / Machine Learning, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.   Responsibilities - Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare. - Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions. - Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications - Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed. - Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale. - Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.   Required Experience - Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI       - Proven industry experience through multiple major product releases in a commercial SaaS environment. - Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes). - Proficiency in Python. Proficiency in Java or other languages helpful. - Proficiency with SQL and data engineering for AI/ML applications. - Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) - Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers. - Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM. - Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale. - Strong communication and collaboration skills; comfortable working on a distributed team. - Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).    #LI-AV1 #LI-remote 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 $159,000-176000 (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: Remote - US Workplace: remote 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. The Role Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.   You are a talented Senior Applied Researcher in AI / Machine Learning, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.   Responsibilities - Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare. - Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions. - Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications - Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems. - Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed. - Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale. - Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.   Required Experience - Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI       - Proven industry experience through multiple major product releases in a commercial SaaS environment. - Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes). - Proficiency in Python. Proficiency in Java or other languages helpful. - Proficiency with SQL and data engineering for AI/ML applications. - Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks) - Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers. - Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM. - Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale. - Strong communication and collaboration skills; comfortable working on a distributed team. - Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).    #-LI-AV1 #LI- remote 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 USD base salary range for this position is $182,700-203000 (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; Stockholm; New York; London 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: Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you. WHAT YOU’LL DO: - Own the technical strategy for large, complex enterprise accounts - Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close - Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders - Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure - Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability) - Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance - Navigate security reviews, compliance discussions, and procurement processes with confidence - Build durable relationships with technical champions and executive sponsors - Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption - Influence Modal’s product roadmap by surfacing structured enterprise feedback - Mentor other Solutions Architects and contribute to technical best practices across the team REQUIREMENTS: - 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms - Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred) - Experience working with large, sophisticated Bay Area technology companies or global enterprises - Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services - Strong architectural understanding of containers and orchestration (Docker, Kubernetes) - Experience designing distributed systems and production data platforms - Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps) - Experience leading cloud migration or infrastructure modernization initiatives - Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems - Production programming experience in Python strongly preferred - Executive-level communication skills with the ability to influence technical and business stakeholders - Proven ability to lead cross-functional virtual teams in high-stakes account environments - Strong business acumen and understanding of enterprise procurement and buying processes - Willingness to travel up to 30%

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About The Role We are looking for a customer-obsessed and hands-on experienced Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both. You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact. What You'll Be Doing Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities Lead the end-to-end product development lifecycle, from conception through launch, including writing PRDs, technical specifications, and business requirements Develop and track success metrics, conduct data analysis to measure product performance and identify areas for improvement Collaborate with UX teams to ensure optimal user experience across various Alexa-enabled devices and surfaces Build strong partnerships with stakeholders across the company, including Science, Engineering, Design, Business Development, and Legal teams Drive technical decisions that balance customer experience, technical feasibility, and business requirements Identify and assess new opportunities for applying emerging AI technologies to enhance Alexa's capabilities What We Look For In You Bachelor's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent 5+ years of industry experience with at least 3+ years in technical product management Strong technical background and proven track record of delivering complex technical products at scale Excellence in written and verbal communication, with the ability to translate technical concepts for various audiences Strong analytical and problem-solving skills with data-driven decision making Experience working with technical teams and managing complex stakeholder relationships Nice to Haves Master's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent Experience with conversational AI or voice-based products Strong technical understanding of ML/AI concepts, particularly in NLP and LLMs Track record of innovation and zero-to-one product development Experience with Deep Learning model training or inference Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: The salary range for this position is $250,444.00 to $375,666.00 . The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Athens; Limassol; Nicosia Workplace: hybrid The Role: We’re looking for a Data Architect to drive the design, evolution, and governance of data architecture across the organization. In this role, you’ll collaborate closely with multiple functional groups and technology leaders to translate business needs into scalable, well-structured data solutions.  You’ll provide best-practice guidance on data management, modeling, and architecture design, ensuring data platforms are robust, efficient, and aligned with strategic objectives.  This is an exciting opportunity to shape data-centric initiatives, influence enterprise-level decisions, and enable teams to leverage high-quality data in support of impactful business outcomes. The main responsibilities of the position include: Develop conceptual, logical, and physical data models, focusing on design (structure, semantics, constraints, and alignment to business meaning), including key physical design considerations such as indexing and partitioning Define and maintain reference and target data architectures (including standards and reusable patterns) across operational systems, event/streaming platforms, and analytical environments (data warehouse/lakehouse) Drive architectural decision-making and trade-offs (e.g., consistency, performance, scalability, cost, operability, security), and contribute to architecture documentation practices that capture and govern those decisions Support the implementation of the organizational data strategy, including database design standards, data warehouse architecture, standards and guidance, and analytics platform integration Assist with the deployment and extension of the Enterprise Data Catalogue Contribute to the creation and maintenance of architecture processes and documentation standards Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices, supporting teams through design reviews and delivery Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation Govern changes to architectural artefacts and ensure systems conform to established data architecture guidelines Define data flows and integration patterns across applications and services, including operational systems, streams, and analytical platforms (batch and real-time), with clear ownership and information dissemination patterns Main requirements: BSc/MSc in Computer Science, Information Technology or related field. Minimum of 3 years of experience in data modelling, data engineering, database design, or data architecture roles. Strong expertise in conceptual, logical, and physical data modelling, with solid SQL skills to bring designs to life. Proficiency in Python for data-related work (e.g., automation, prototyping, analysis, validation, data quality checks, and tooling around data pipelines/integrations). Experience working with cloud-based data platforms and modern data warehouse or lakehouse architectures Good understanding of software development lifecycles, requirements analysis, and technical design best practices. A collaborative mindset, with the ability to build trusted relationships across business and technical teams. Exposure to data governance, metadata management, and data quality frameworks, with an appreciation for well-managed data. Confidence in advising on ETL/ELT patterns, data integration solutions, and data orchestration technologies. Experience in graph databases, vector databases/semantic search capabilities, feature stores, or related ML/AI data architectures would be considered a plus. A proactive, self-driven professional who thrives in agile environments and enjoys shaping scalable data solutions. Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards Coordinate large-scale migrations and platform modernization efforts across engineering teams Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliability & Operations Drive programs to establish and achieve reliability targets across training infrastructure and production services Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence Cross-functional Coordination Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development Drive alignment on priorities and timelines across teams with competing constraints You May Be a Good Fit If You Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives Have strong stakeholder management skills and can build trust with both technical and non-technical partners Are comfortable navigating competing priorities and using data to drive technical decisions Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling Thrive in fast-paced environments and can balance strategic planning with tactical execution Are obsessed with reliability, scalability, security, and continuous improvement Have a passion for supporting internal partners like research to understand their unique needs Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters) Background working with research teams and translating their needs into concrete technical requirements Experience driving adoption of AI tools to improve engineering productivity Familiarity with observability tooling and practices Deadline to Apply: None, applications will be received 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: $290,000 — $365,000 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: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge. Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success. Your responsibilities will include: Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning. Creating the datasets, metrics, and pipelines that drive measurable improvements across the system. Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization. Establishing MLOps practices, including orchestration, observability, and experiment tracking. Collaborating with the engineering team on system design and with JetBrains Research on the research agenda. Defining hiring criteria, growing the ML team, and shaping the ML team culture. We expect you to have: A proven track record as an ML/AI Lead. At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI. A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches. Hands-on experience with: Prompt engineering and LLM pipeline design, including evaluation. Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent. Vector databases and retrieval-augmented generation (RAG) patterns. Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models. Strong Python skills – Kotlin knowledge would be a plus. Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences. Proficiency in English, both written and verbal. Our ideal candidate would have: Experience with ontologies, knowledge graphs, or graph-based reasoning. Experience in early-stage startups – you enjoy the zero-to-one phase. The ability to think strategically about product-led AI, beyond just training models in isolation. A background in code analysis, developer tools, or software engineering research. Experience with multi-agent systems or complex agentic workflows. Actively contributed to relevant open-source projects or publications. What we offer A competitive salary and JetBrains benefits. A generous runway and corporate resources with startup autonomy. #LI-KP1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: San Francisco; New York 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’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ EXAMPLE INITIATIVES - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects. - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs. RESPONSIBILITIES - Iterate like crazy - Design ergonomic APIs and abstractions to model complex resources and lifecycles - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. - Fine-tune and deploy models to develop intuition around training workflows. - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. - Drive long-term improvements to improve reliability of systems and velocity of development - Fix bugs & resolve customer issues with urgency REQUIREMENTS - 5+ years experience building software applications - Deep knowledge of the web stack, databases, and distributed systems - Experience developing developer tooling or infrastructure products for external or internal users. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Driven by high agency and ownership - Strong communication skills with the ability to bridge technical depth and business needs NICE TO HAVE - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.) - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc. - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents - Frontend fluency 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: Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're looking for a Senior Backend Engineer who thinks like a product builder, thrives in a collaborative, cross-functional environment, and is passionate about creating robust, scalable financial infrastructure. You'll be part of a domain team where various engineering crafts (Backend, Frontend, Mobile, ML/AI engineers, and QA) work together to own and evolve a shared product area that delivers real value to hundreds of thousands of businesses across Europe.   About You and What You'll Do:   You're pragmatic, learn quickly, and have a proven track record of shipping products that matter. You communicate clearly across disciplines and genuinely enjoy the dynamics of a cross-functional team where everyone contributes to solving the same customer problems. Above all, you're curious – about the product, the users, the business, and how your technical decisions impact all three.   As a product-minded backend engineer, you don't just implement tickets. You understand the "why" behind what you're building, challenge assumptions when needed, and proactively identify opportunities to create better outcomes. You're comfortable discussing trade-offs with product managers, explaining technical constraints to business stakeholders, and collaborating with frontend and mobile engineers to design elegant end-to-end solutions.   You have deep expertise in .NET and C# with a strong appreciation for maintainable, scalable code, and distributed architectures. But more importantly, you know when to apply that expertise and when simpler solutions serve the product better. You've built data-intensive applications before and understand the concepts of working in a regulated environment.   You take ownership not just of your code, but of the outcomes. You move without being prompted, whether that's jumping into a customer issue, improving team processes, or mentoring colleagues. You're curious about adjacent domains – you might peek at the frontend code, ask questions about the ML models, or dive into analytics to understand how features perform.   Quality is non-negotiable for you. Automated testing, thorough code reviews, and security best practices are fundamental to how you work. You balance technical excellence with pragmatism, always keeping the end user and business goals in mind. Your experience includes: At least 5 years of professional backend development with a product engineering mindset Excellent knowledge of .NET platform and C# Hands-on experience architecting and evolving distributed systems in production Proven ability to collaborate effectively with product managers, designers, and engineers from other disciplines Strong business acumen – you understand how your work connects to company objectives Clear, concise communication in English across technical and non-technical audiences A builder's mentality: you care deeply about shipping great products, not just writing great code Our tech stack Backend: .NET/C#, PostgreSQL, Redis, RabbitMQ, Kafka, Kubernetes, GCP. You'll work alongside teams using React (Web), Swift (iOS) / Kotlin (Android), Python/ML frameworks, and modern test automation tools (Playwright, Appium). Recruitment flow: Recruiter Interview First Technical Interview System Design Interview Team Fit Interview (peer interview) Offer What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: London (Remote); Almaty Workplace: Remote Role Overview: We are looking for a talented and passionate Senior Data Engineer to join our team. In this role, you'll be at the heart of our AI pipeline, ensuring seamless integration, scalability, and reliability of our data processes. Key Responsibilities and Skills: - Integrate and Scale: Extend, scale, monitor, and manage our ever-growing pile of 100s of integrations. Ensure they are reliable and responsive. - Own the Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. - Develop Monitoring Systems: Create and support robust models for monitoring. - Support and Innovate: Assist with a long tail of super important tasks, bringing innovative solutions to the table. Qualifications: - Python Proficiency: Strong Python skills with experience in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security for services and infrastructure. Experience with Kubernetes (K8S) is a plus. - Cloud Expertise: Familiarity with AI infrastructure on AWS and GCP, including Sagemaker, Vertex, Triton, and GPU computing. - Bonus Points: Experience with Airbyte is a significant advantage. Perks and Benefits: - Fully Remote: Freedom to work from anywhere in the world with flexible core working hours. - In-person Meetups and Regular Team-building Remote Events: Enjoy in-person meetups and monthly game sessions for team bonding. - Generous Vacation: Benefit from our comprehensive vacation policy. - Growth Opportunities: Access continuous professional development and growth support. - Dynamic Culture: Be part of a vibrant, inclusive, and energetic company culture. - Stock Options: Participate in our stock options program in this early-stage, fast-growing startup. About Clarity Clarity is redefining customer experience with AI. Our mission is to empower businesses to deliver faster, smarter, and more human service interactions. By combining cutting-edge AI with intuitive design, we enable customer service teams to operate more efficiently while providing customers with seamless, personalized experiences. We are trusted by industry leaders like OpenAI, GrubHub, STC and Tabby who rely on us to deliver real impact. Our investors include Prosus Ventures, STV AI Fund (backed by Google) and angels from Open AI and Google. With a 25% month-on-month growth rate and over 300% net revenue retention, this is a unique opportunity to join a hyper growth AI company and redefine an industry.

Location: Belgrade Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're looking for a Senior Backend Engineer who thinks like a product builder, thrives in a collaborative, cross-functional environment, and is passionate about creating robust, scalable financial infrastructure. You'll be part of a domain team where various engineering crafts (Backend, Frontend, Mobile, ML/AI engineers, and QA) work together to own and evolve a shared product area that delivers real value to hundreds of thousands of businesses across Europe.   About You and What You'll Do:   You're pragmatic, learn quickly, and have a proven track record of shipping products that matter. You communicate clearly across disciplines and genuinely enjoy the dynamics of a cross-functional team where everyone contributes to solving the same customer problems. Above all, you're curious – about the product, the users, the business, and how your technical decisions impact all three.   As a product-minded backend engineer, you don't just implement tickets. You understand the "why" behind what you're building, challenge assumptions when needed, and proactively identify opportunities to create better outcomes. You're comfortable discussing trade-offs with product managers, explaining technical constraints to business stakeholders, and collaborating with frontend and mobile engineers to design elegant end-to-end solutions.   You have deep expertise in .NET and C# with a strong appreciation for maintainable, scalable code, and distributed architectures. But more importantly, you know when to apply that expertise and when simpler solutions serve the product better. You've built data-intensive applications before and understand the concepts of working in a regulated environment.   You take ownership not just of your code, but of the outcomes. You move without being prompted, whether that's jumping into a customer issue, improving team processes, or mentoring colleagues. You're curious about adjacent domains – you might peek at the frontend code, ask questions about the ML models, or dive into analytics to understand how features perform.   Quality is non-negotiable for you. Automated testing, thorough code reviews, and security best practices are fundamental to how you work. You balance technical excellence with pragmatism, always keeping the end user and business goals in mind. Your experience includes: At least 5 years of professional backend development with a product engineering mindset Excellent knowledge of .NET platform and C# Hands-on experience architecting and evolving distributed systems in production Proven ability to collaborate effectively with product managers, designers, and engineers from other disciplines Strong business acumen – you understand how your work connects to company objectives Clear, concise communication in English across technical and non-technical audiences A builder's mentality: you care deeply about shipping great products, not just writing great code Our tech stack Backend: .NET/C#, PostgreSQL, Redis, RabbitMQ, Kafka, Kubernetes, GCP. You'll work alongside teams using React (Web), Swift (iOS) / Kotlin (Android), Python/ML frameworks, and modern test automation tools (Playwright, Appium). Recruitment flow: Recruiter Interview First Technical Interview System Design Interview Team Fit Interview (peer interview) Offer What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Role We are looking for a customer-obsessed and hands-on experienced Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both. You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact. What You'll Be Doing Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities Lead the end-to-end product development lifecycle, from conception through launch, including writing PRDs, technical specifications, and business requirements Develop and track success metrics, conduct data analysis to measure product performance and identify areas for improvement Collaborate with UX teams to ensure optimal user experience across various Alexa-enabled devices and surfaces Build strong partnerships with stakeholders across the company, including Science, Engineering, Design, Business Development, and Legal teams Drive technical decisions that balance customer experience, technical feasibility, and business requirements Identify and assess new opportunities for applying emerging AI technologies to enhance Alexa's capabilities What We Look For In You Bachelor's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent 5+ years of industry experience with at least 3+ years in technical product management Strong technical background and proven track record of delivering complex technical products at scale Excellence in written and verbal communication, with the ability to translate technical concepts for various audiences Strong analytical and problem-solving skills with data-driven decision making Experience working with technical teams and managing complex stakeholder relationships Nice to Haves Master's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent Experience with conversational AI or voice-based products Strong technical understanding of ML/AI concepts, particularly in NLP and LLMs Track record of innovation and zero-to-one product development Experience with Deep Learning model training or inference Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Disclaimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Role We are looking for a customer-obsessed and hands-on experienced Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both. You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact. What You'll Be Doing Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities Lead the end-to-end product development lifecycle, from conception through launch, including writing PRDs, technical specifications, and business requirements Develop and track success metrics, conduct data analysis to measure product performance and identify areas for improvement Collaborate with UX teams to ensure optimal user experience across various Alexa-enabled devices and surfaces Build strong partnerships with stakeholders across the company, including Science, Engineering, Design, Business Development, and Legal teams Drive technical decisions that balance customer experience, technical feasibility, and business requirements Identify and assess new opportunities for applying emerging AI technologies to enhance Alexa's capabilities What We Look For In You Bachelor's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent 5+ years of industry experience with at least 3+ years in technical product management Strong technical background and proven track record of delivering complex technical products at scale Excellence in written and verbal communication, with the ability to translate technical concepts for various audiences Strong analytical and problem-solving skills with data-driven decision making Experience working with technical teams and managing complex stakeholder relationships Nice to Haves Master's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent Experience with conversational AI or voice-based products Strong technical understanding of ML/AI concepts, particularly in NLP and LLMs Track record of innovation and zero-to-one product development Experience with Deep Learning model training or inference Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-ONSITE #LI-WWW Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Data Architect to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Role Summary: The Data Architect will design and govern the complete data ecosystem for the ValueX platform — including data ingestion, processing, modeling, storage, orchestration, and governance. They will define the data architecture blueprint supporting the system’s core modules. 1. Customer Segmentation 2. Business Decisioning & Offer Assignment Engine 3. Real-Time Offer Orchestration Module (ROOM) 4. ML/AI Model Management & Simulation Engine The architect will ensure scalability to handle 50 million+ customer profiles, real-time event streams, and ML-driven decisioning — with a focus on performance, cost optimization, and maintainability. Key Responsibilities: Data Architecture & Design Define the end-to-end data architecture across batch, streaming, and real-time layers. Design Customer 360 and Offer 360 data models, including feature store and historical layers. Establish logical, physical, and semantic data models to enable segmentation, scoring, and orchestration. Define data contracts for Kafka topics, API payloads, and Adobe/CDP integrations. Set up data versioning and lineage frameworks to track data provenance Data Ingestion & Integration Architect data ingestion pipelines from multiple telco sources: OCS, CRM, Kenan, Billing, DWH, Adobe AEP, Pricefx, and external APIs. Define patterns for real-time event ingestion (recharge, offer purchase, balance check). Standardize data access through APIs or data products for downstream modules. Design connectors for cloud storage (e.g., S3, Delta Lake) and integration middleware (e.g., n8n, DecisionRules.io , KNIME). Data Management & Governance Define and enforce data quality, lineage, catalog, and access policies. Establish metadata management frameworks (e.g., DataHub, Collibra, Amundsen). Set up data validation and DQ frameworks (Great Expectations, Deequ). Govern data partitioning, schema evolution, retention, and archiving strategies. Ensure compliance with data privacy and regulatory standards (e.g., PDPA, GDPR, local telecom data policies). Scalability, Cost & Performance Design for high performance and cost-efficient scalability (25M → 50M → 75M customers). Optimize compute/storage balance across environments (Dev, UAT, Prod). Define data lakehouse optimization strategies (Z-Order, Delta caching, compaction). Monitor and manage query performance, cluster sizing, and job orchestration costs. Collaboration & Governance Work closely with Data Engineers, Data Scientists, and Application Developers to ensure architectural alignment. Lead architecture review boards and maintain data design documentation (ERD, flow diagrams, schema registry). Serve as technical liaison between business stakeholders, data teams, and platform vendors (Databricks, Adobe, Pricefx). Provide best practices and design patterns for model deployment, retraining, and data lifecycle management. 10+ years in Data Architecture and Data Platform Design Data Architecture-Data lakehouse design, data modeling (dimensional, normalized, semantic), schema management. ETL/ELT & Orchestration-Databricks, Snowflake, dbt, Airflow, AWS Glue, Azure Data Factory. Streaming & Real-Time-Apache Kafka, Spark Streaming, Kinesis, Flink Data Modeling-Customer 360, Offer 360, Transaction 360, Feature Store Cloud Platforms-AWS (S3, Glue, Lambda, EMR), Azure (ADF, Synapse), or GCP (BigQuery, Dataflow) Storage & Compute-Delta Lake, Parquet, Iceberg, Snowflake Data Quality & Governance-Great Expectations, Deequ, DataHub, Collibra Programming & Scripting-Python, SQL, PySpark, YAML API & Integration Design-REST, GraphQL, Kafka Connect, JSON schema Security & Compliance-IAM, encryption (KMS), access control, masking, PDPA compliance Preferred (Nice-to-Have) Telecom industry experience (recharge, balance, offer, churn, usage data). Experience integrating with Adobe Experience Platform (AEP) or Pricefx. Knowledge of DecisionRules.io , KNIME, or n8n for workflow orchestration. Familiarity with AI/ML pipelines and MLOps frameworks (MLflow, SageMaker). Exposure to knowledge graphs (Neo4j, GraphFrames) for segmentation and recommendation. Educational Background Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related fields. Certifications in AWS/Azure Data Architect, Databricks Certified Data Engineer, or Snowflake Architect are preferred.

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 As a Manager on the AI-Native GTM team at Anthropic, you'll lead a team of 5-10 Growth Account Executives responsible for driving expansion and retention across our fastest-growing AI-Native customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: Lead, coach, and develop a team of 5-10 Account Executives, providing regular feedback and guidance to drive both individual and team performance Own team revenue targets, developing strategies to accelerate growth Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: 10+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams Proven track record of consistently exceeding team revenue targets and developing high-performing account executives Strong understanding of the startup ecosystem and experience working with high-growth technology companies Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment Strong analytical and problem-solving skills with a data-driven approach to decision making Excellence in cross-functional collaboration and stakeholder management Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions Demonstrated ability to coach and develop talent while maintaining high performance standards 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: New York; San Francisco; London 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 hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications. You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will: - Drive new business by generating pipeline, negotiating, and closing complex enterprise deals - Build deep, trusted relationships with technical and executive stakeholders at leading AI companies - Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams - Expand existing accounts by identifying growth opportunities and helping customers scale their workloads - Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy - Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team REQUIREMENTS: - 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms - Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals - Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives - Experience leading proof-of-concepts and managing complex procurement processes - Excellent communication, negotiation, and relationship-building skills - Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up - Ability to work in-person from our office 5 days a week