AI Data Science & Analytics Jobs

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📍 Working arrangement: Munich, Germany (Remote - work from anywhere in Germany)Build AI Systems That Make Finance Simpler, Smarter, and More InclusiveAt BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI/ML Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.This is a remote role based in Germany, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.Why This Role MattersYour work will directly impact user experience, efficiency, and platform intelligenceYou’ll contribute to production-grade AI systems that serve millionsYou’ll collaborate across functions and build scalable ML tools from the ground upYou’ll grow quickly in a lean, high-impact engineering environmentWhat You’ll DoWork with product, data, and engineering teams to define ML goals and technical strategiesDesign, build, and deploy machine learning models that power personalization, automation, and insight generationManage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deploymentBuild scalable ML infrastructure and deployment pipelinesIntegrate ML outputs into user-facing products and backend systemsStay current with AI/ML trends and apply relevant innovations into our stackContribute to debugging, testing, and optimization of production ML systemsYou’ll Thrive Here If You...Take full ownership - you don’t just build models, you make sure they drive real-world resultsAre a self-starter who figures things out fast, even when there’s no manual or roadmapMove with urgency - you adapt quickly, ship fast, and improve even fasterOwn problems end-to-end - from messy data to deployment, and everything in betweenBring a team-first attitude - you’re humble, helpful, and raise the bar for those around youPush through chaos - startup pace, shifting priorities, and ambiguity don’t throw you offLearn obsessively and share openly - you level up fast and help others do the sameRequirementsBachelor’s degree in Computer Science, Data Science, Engineering, or a related technical fieldStrong proficiency in Python is a must2 - 4 years of experience in machine learning or backend software developmentExperience using frameworks like TensorFlow, PyTorch, or Scikit-learnSolid understanding of ML workflows: data cleaning, model development, tuning, evaluationFamiliar with model deployment, API development, or real-world ML integrationExperience with tools like Google Colab, Jupyter, and cloud ML platformsStrong analytical, problem-solving, and communication skillsMust be based in Germany and open to remote collaboration across time zonesNice to HaveExperience with NLP, computer vision, or recommendation systemsFamiliarity with cloud services (e.g., AWS, GCP, Azure)Exposure to Docker, Git, or CI/CD toolsBackground working in a high-growth startup or agile product environmentWhat You’ll GetCompetitive salary and performance-based bonusesFlexible, fully remote work arrangement from anywhere in GermanyDirect impact - your work reaches millions of users across AsiaFlat structure - your voice is heard, your contributions are seenOpportunities for rapid personal and technical growthRegional exposure and collaboration across Southeast AsiaAbout BJAKBJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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Applications will be reviewed on a rolling basis. We encourage candidates to apply early. The application window will close on October 31stAbout Handshake AIHandshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale.This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.Now’s a great time to join Handshake. Here’s why:Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide.Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few.Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.About the RoleHandshake AI builds the data engines that power the next generation of large language models. Our research team works at the intersection of cutting-edge model post-training, rigorous evaluation, and data efficiency. Join us for a focused Summer 2026 internship where your work can ship directly into our production stack and become a publishable research contribution. To start between May and June 2026.Projects You Could TackleLLM Post-Training: Novel RLHF / GRPO pipelines, instruction-following refinements, reasoning-trace supervision.LLM Evaluation: New multilingual, long-horizon, or domain-specific benchmarks; automatic vs. human preference studies; robustness diagnostics.Data Efficiency: Active-learning loops, data value estimation, synthetic data generation, and low-resource fine-tuning strategies.Each intern owns a scoped research project, mentored by a senior scientist, with the explicit goal of an archive-ready manuscript or top-tier conference submission.Desired CapabilitiesCurrent PhD student in CS, ML, NLP, or related field.Publication track record at top venues (NeurIPS, ICML, ACL, EMNLP, ICLR, etc.).Hands-on experience training and experimenting with LLMs (e.g., PyTorch, JAX, DeepSpeed, distributed training stacks).Strong empirical rigor and a passion for open-ended AI questions.Extra CreditPrior work on RLHF, evaluation tooling, or data selection methods.Contributions to open-source LLM frameworks.Public speaking or teaching experience (we often host internal reading groups).#LI-AG3

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Lumana is on a mission to empower organizations by unlocking the value of their visual data — not just record the world, but to actually understand it and extract meaningful insights. Our AI video security platform delivers unmatched visibility and control, helping customers enhance security and safety, streamline operations, and respond instantly when it matters most.Founded in 2021, we are backed by tier-one Silicon Valley investors with deep team expertise in AI, computer vision, and machine learning. We are one of the fastest-growing video security companies and recently raised the largest Series A within our industry. We’ve built the most intelligent video security solution on the market — one that sees what matters, acts fast, and prevents what used to be inevitable.At Lumana, teams are small, dynamic, and trusted to lead. We think big, move fast, and execute like owners — because we are. Your impact here won’t be filtered. It will be visible, lasting, and real.DescriptionIf you don’t see a current opening that fits your background, we’d still love to hear from you. This general interest posting allows you to submit your resume so our Talent team can keep you in mind for future opportunities across:Go-To-Market (Sales, SDR, Marketing, Partnerships)Engineering & Product (AI/ML, Full Stack, DevOps, QA, UX/UI)Customer Experience (Customer Success, Technical Support, Solutions Engineering)Operations & People (Finance, HR, Talent, Legal, Business Ops)Why Lumana?🚀 High-Growth Environment: 3x YoY growth and expanding globally💡 AI-First Approach: Work on cutting-edge technology shaping the future of security🌍 Global Culture: A 50/50 U.S.–Israel team that values diverse perspectives🏆 Impact at Scale: Our work directly contributes to safer communities and organizations🤝 Inclusive & Collaborative: We believe the best teams win – togetherWhat We Look ForWe’re drawn to people who are:Builders who thrive in fast-paced, dynamic environmentsProblem solvers who take initiative and own outcomesTeammates who value trust, collaboration, and transparencyCurious learners who stay sharp on their craft and industryHow It WorksApply here with your resume and a brief note on what excites you about Lumana and what roles you are interested in.Our Talent team will review your application and add you to the talent pool. Even if we don’t connect right away, we’ll keep your profile on file for upcoming opportunities.Lumana is an equal opportunity employer‍We are committed to providing equal employment opportunities to all individuals regardless of race, color, ethnicity, religion, sex, gender identity, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis protected by law.Recruitment Fraud Alert: All Lumana hiring communications come from @lumana.ai — we never ask for payment or personal banking info.Recruiters & Agencies: Lumana does not accept unsolicited resumes from agencies without a signed agreement and will not pay related fees.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About the role: As a Staff Product Engineer at Replit, you’ll work closely with other product and platform engineers, designers, sales representative, and product managers to build features that help users collaborate with their team to go from idea to software fast. You’ll be at the forefront of shaping and experimenting on what our tens of millions of users love. You will:Help lead major projects and take new products from 0->1Identify the hardest technical and/or quality problems holding us back, and then build solutionsChart high level technical direction and follow up to make sure those projects come together to deliver on resultsMentor and develop new senior engineers to help grow the teamShip new features and build infrastructure using: TypeScript, React, CSS, GraphQL, Node.js, and PostgresRequired skills and experience:A minimum of 7 years of professional software development experienceExperience in a technical leadership role, working cross functionallyWorking experience building full stack applications with TypeScriptWorking experience building directly for usersBonus Points: You’re excited about the future of programming and have experience working with IDEs, terminals, or other common developer toolsYou’ve had previous experience working at a startup in a cross-functional engineering roleFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program ⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits 📱 Monthly Wellness Stipend 🧑‍💻 Autonoumous Work Environement 🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office AmenitiesWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at Replit Operating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday.

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role At Helsing, we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. These capabilities build on the dynamics of our platforms, which are shaped by control. You’ll work in a small team and be responsible for Flight Control Laws for aerial platforms from architecture, to development, to flight test. The day-to-day Own the full cycle of Flight Control Laws development activities from requirements flown down, implementation up to integration and testing Contribute to control architectures from high level product needs and characteristics Contribute to Linear design – trimming and linearising flight dynamics models, gain design and linear analyses Contribute to Nonlinear design and verification, and clearance testing Target hardware integration and testing Support risk and safety assessments Actively work on improving processes, methods, and tools for flight control Analyse flight tests and investigate in response to findings You should apply if you Hold a M.Sc. in Aeronautical Engineering or an equivalent degree.  Have at least 5 years of professional experience in Flight Control Law development in fly-by-wire programs Are willing to build things and to do what it takes to make them work. Not just execute a process, but shape a product and the underlying processes to build it Are very familiar with Matlab/Simulink Have a solid background in aerodynamics and flight dynamics- you understand the physics you want to control beyond what may be represented in A and B matrices Have previous experience with ARP 4754A and DO-178C Have excellent communication skills and the ability to report and present findings clearly and efficiently both internally and externally. Possess solid software engineering skills, writing clean and well-structured code in Matlab and intuitive Simulink diagrams Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have Previous experience with integration of software on target hardware and in integration environments (Private) pilot license and/or flying RC model planes Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role As Flight Test Manager at Helsing, you will establish and lead a world-class flight test organisation. This organisation will deliver high-quality test data, meeting the exacting demands of both internal and external customers. As part of our team, you will also determine the required infrastructure, personnel, and partnerships to deliver safe and efficient execution of all flight test operations throughout the product lifecycle – from R&D through to validation & verification (V&V), certification, and acceptance testing. Furthermore, you will develop, procure, and integrate facilities, tools, and processes into a cohesive framework. This framework will enable rapid responses to our challenging program goals and objectives, ultimately demonstrating the readiness of Helsing's products for tomorrow's battlefield. The day-to-day Develop, recruit, and empower a multidisciplinary team of deployed engineers and pilots, fostering professional growth and achieving team objectives Devise, implement and manage comprehensive flight test plans, addressing the demand from the engineering organisation across the product spectrum Manage the budget, resources, and scheduling for flight test campaigns, optimizing efficiency and ensuring timely completion Oversee the safe and efficient execution of all flight test operations, including detailed flight preparations, test procedures, and risk management Establish and manage supplier relationships; including facilities/airfields, service providers, instrumentation, software and component suppliers Ensure strict adherence to regulatory requirements, industry standards, and internal safety protocols throughout all flight test activities Deliver tests quickly, efficiently and safely: breaking down barriers and working together with cross-functional teams to overcome obstacles Deliver high quality flight test data, reports, findings and recommendations to stakeholders and senior leadership Implement the processes, methods, tools and manuals required to deliver the testing and associated lifecycle data. You should apply if you Have at least 10 years’ experience in test operations, with a proven track record in a leadership or management role Hold a degree in aerospace engineering, electrical engineering, physics, computer science, or another engineering discipline that provides a strong technical understanding of complex topics  Possess in-depth knowledge of the required regulatory, quality and safety standards for flight testing Ideally have graduated from a recognised Flight Test Engineering organisation  Demonstrate strong leadership, project management, and organisational skills, with the ability to manage complex programmes simultaneously Possess excellent communication skills and the ability to interface clearly and effectively with both internal and external stakeholders Are proficient in analysing complex data and presenting clear, concise findings and recommendations to diverse audiences Have experience in establishing the infrastructure, procedures and tools required to deliver successful flight testing Thrive in a fast-paced environment and are passionate about leading teams to achieve ambitious objectives while maintaining the highest standards of safety and quality Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe   Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general purpose robots, is seeking Machine Learning (ML) Engineers to join our team of seasoned engineers, researchers, and scientists who are dedicated to tackling fundamental challenges in robotic perception, dexterous manipulation, planning, and reasoning. As a member of the ML team, your role will focus on building robust systems for training and running ML policies on robots, and working closely with researchers to implement and deploy novel ML techniques into production. With access to our in-house robotic platforms, you’ll design, test, and refine software that connects state-of-the-art methods to real-world performance. This position offers a unique chance to contribute to both the engineering foundations and applied ML capabilities that drive our robots forward. As part of this role, you will occasionally travel (typically one to two weeks at a time, several times per year) to collaborate closely with partners and teams in advancing critical projects. Success CriteriaCollaborate with cross-functional teams to identify opportunities for applying machine learning techniques to solve complex problems.Design, develop, and deploy machine learning models and algorithms to address specific business needs and challenges.Implement scalable and efficient software solutions to integrate machine learning models into production systems.Optimize and fine-tune machine learning algorithms for improved performance and accuracy.Conduct thorough testing and validation of machine learning models to ensure robustness and reliability.Stay updated on the latest developments and advancements in machine learning and communicate promising research directions to the team.Provide technical guidance and mentorship to junior team members. Your ExperienceQualificationsMaster’s degree or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.3+ years of experience in machine learning methods, with specialization in areas such as reinforcement or imitation learning for dexterous manipulation, computer vision for robotics, or natural language processing.4+ years of software engineering experience, with a focus on developing and deploying production-grade applications.Hands-on experience deploying ML models to production.Proficiency with ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn).Experience with ROS2 and parallel computing (e.g., CUDA, OpenMP).Familiarity with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.Demonstrated experience applying ML techniques in real-world systems is strongly valued. Publications are welcome but not expected for this role.Familiarity with robotics principles and technologies is highly desirable. SkillsStrong programming proficiency in Python and C++.Working knowledge of core machine learning techniques and algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning, natural language processing) and the ability to apply them effectively in software systems.Ability to optimize and fine-tune ML algorithms for performance and accuracy.Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Leadership and mentorship ability, supporting the growth of junior team members. Traits:Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems.Takes ownership and accountability, fostering the same in teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

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CSQ127R53 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala  Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.  Local Pay Range$161,300—$225,800 USDAbout Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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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 this role As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.  You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.  Responsibilities: Deep dive into user behavior data to provide insights on safety concerns Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company You might be a good fit if you have: 6+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context 3+ years of experience deeply embedding in Product teams A passion for the company's mission of building helpful, honest, and harmless AI. Expertise in Python, SQL, and data visualization tools A bias for action and urgency, not letting perfect be the enemy of the effective A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress A deep curiosity and energy for pulling the thread on hard questions Experience in turning open questions and data into concise and insightful analysis Highly effective written communication and presentation skills The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:$275,000—$355,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco, San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. The Lambda Core Services team builds and operates release engineering, cloud automation, and workflow systems for our AI cloud product suite. We provide CI/CD tooling and artifact management to support the build/deploy process for our services. We also automate configuration of our AWS and other SaaS resources and manage AWS usage for all of Lambda engineering. Keeping the internal product and engineering teams moving quickly and delivering quality is what makes us tick.Along with the Platform Engineering organization, we help to build the foundations that unlock product excellence and a highly reliable experience for our customers. About the Role:We are seeking a seasoned Engineering Manager with deep experience in both release engineering and the management of large-scale cloud deployments. You will hire and guide a team of platform engineers in building out critical pillars of our stack. You will lead the team in designing, deploying, scaling, and supporting these solutions.Your role is not just to manage people, but to coordinate the delivery of platform solutions to engineering customers within Lambda. This is a unique opportunity to work at the intersection of platform engineering and the rapidly evolving field of AI infrastructure.What You’ll DoTeam Leadership & Management:Grow/Hire, lead, and mentor a team of high-performing platform engineers and SREs.Foster a culture of technical excellence, collaboration, and customer service.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Drive outcomes by managing project priorities, deadlines, and deliverables.Technical Strategy & Execution:Work with the engineering team to drive strategy for internal CI/CD and Cloud services.Develop self-service abstractions to make our platform tooling easier to adopt and use.Lead the broader engineering organization in best-practices adoption of CI/CD, Workflow, and Cloud services.Manage costs of both vendors and internally developed platforms.Lead team in the continued development of our existing CI/CD solutions based on Buildkite and Github Actions.Lead team in the expansion of our Terraform / Atlantis infrastructure automation platform.Guide Lambda engineering in utilization of AWS services in line with our technical standards.Guide team in problem identification, requirements gathering, solution ideation, and stakeholder alignment on engineering RFCs.Identify gaps in our platform engineering posture and drive resolution.Lead the team in supporting our internal customers from across Lambda engineering.Cross-Functional Collaboration:Work closely with Lambda product engineering teams on requirements and planning to meet their needs.Work to understand the needs of engineering teams and drive our Platform solutions towards self-service.Manage a short list of vendors that provide SaaS solutions used at Lambda.YouExperience:7+ years of experience in either Release Engineering or Platform Engineering with at least 3 years in a management or lead role.Demonstrated experience leading a team of engineers and SREs on complex, cross-functional projects in a fast-paced startup environment.Experience managing, monitoring, and scaling CI/CD platforms.Deep experience using and operating AWS services.Solid background in software engineering and the SDLC.Strong project management skills, leading planning, project execution, and delivery of team outcomes on schedule.Experience building a high-performance team through deliberate hiring, upskilling, performance-management, and expectation setting.Nice to HaveExperience:Experience driving cross-functional engineering management initiatives (coordinating events, strategic planning, coordinating large projects).Experience driving organizational improvements (processes, systems, etc.)Experience managing AWS service usage across a broader engineering organization.Experience in AWS spend management.Experience designing solutions using Temporal workflows; ability to act as an internal consultant for Temporal.Experience with Kubernetes.Experience designing scalable distributed systems.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Director, Strategy & Ops – Infinity AIAbout Infinity AI Infinity Constellation is expanding into the Middle East with the launch of Infinity AI, a new regional holding company. Infinity AI is a joint venture between Infinity Constellation in NYC and Tier 1 regional MENA investors.We build and scale AI-driven businesses in essential service sectors. Infinity AI will localize proven models and launch new ventures tailored to regional opportunities.Role Summary We’re hiring a Director, Strategy & Operations to architect and run the commercial and operating engine across Infinity AI’s portfolio. You’ll own GTM strategy, partnership frameworks, operating model design, and service prioritization—then drive execution to targets. This is a hands-on operator role with portfolio-level scope. Key ResponsibilitiesStrategy & GTMDefine and execute go-to-market plans for each business unit.Identify and prioritize services; set pricing and margin guardrails.Partnerships & GrowthBuild frameworks for collaboration with Infinity portfolio companies and external partners.Negotiate and launch strategic partnerships that drive revenue. Operations & DeliveryDesign and implement operating models (processes, roles, cadence).Ensure projects are delivered on time, on budget, and at target margins.QualificationsExperience8–12+ years in strategy and operations leadership (consulting, venture studio, startup/scale-up, or portfolio/PE).Proven track record of launching GTM strategies and building operating models that deliver revenue and margin.Experience managing multi-stakeholder environmentsSkills & CapabilitiesSystems thinker who can turn ideas into playbooks and execution.Direct experience working with Agentic AI systems (multi-agent workflows, automation platforms, applied LLMs) — understands both how they work and how to sell them.Tool proficiency: CRM (HubSpot/Salesforce), Jira/Asana, Notion, Google Sheets, basic Figma (read/comment).Excellent communicator—able to produce crisp docs and decks for leadership, partners, and clients.Comfortable using AI-enabled workflows and automation in day-to-day operations.MindsetBuilder-operator with a bias to ship; balances quality with velocity.Collegial, data-driven, and commercially disciplined.High ownership; enjoys rolling up sleeves while setting portfolio-level standards. What We OfferA once-in-a-decade opportunity to build Infinity MENA business from scratch.Immediate impact with clear trajectory as an early hireCompetitive compensationA collegial, ambitious culture that balances innovation with discipline.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About the role:Join our engineering team for a 12-week paid internship where you'll work alongside world-class engineers, designers, and product managers to build the future of software creation. You'll contribute to real features that impact millions of developers worldwide, from our AI-powered development environment to the infrastructure that makes lightning-fast collaboration possible.This isn't just about learning—you'll ship meaningful code that helps democratize software creation. Whether you're optimizing our cloud infrastructure, building intuitive developer tools, or enhancing our AI agents, your work will directly empower creators around the globe.You will:Ship real features to millions of developers using Replit's platformCollaborate cross-functionally with engineers, designers, product managers, and AI researchersBuild and optimize developer experiences that make coding accessible to everyoneWork on cutting-edge AI tools and infrastructure that power the next generation of software creationLearn from the best in an environment where your ideas are heard and often implementedRequired skills and experience:Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, or related technical fieldHave at least one semester of schooling remaining after the internship completionProficient in at least one programming language and comfortable with full stack developmentPassionate about developer tools, AI, or making technology more accessibleThrive in fast-paced environments where you can move quickly and adapt to changing prioritiesWhat we value:Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutionsSelf-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teamsStrong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiencesContinuous learning: Passion for staying current with industry best practices and new technologiesFocus on automation: Strong belief in automating repetitive tasks and building self-healing systemsWant to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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Replit is the fastest way to turn ideas into software. With our powerful AI-powered Agent and Assistant, anyone can create and launch apps from natural language in just one click. Build and deploy full-stack applications directly from your browser—no setup required. Never written a line of code in your life? No problem. Replit makes software creation accessible, collaborative, and lightning-fast. Join us in our mission to empower the next generation of builders.About the role:As a New Grad Software Engineer, you'll join a team of exceptional builders working on products that are reshaping how the world creates software. You'll have the opportunity to work on everything from our AI-powered development platform to the distributed systems that enable real-time collaboration for millions of developers.This is a chance to define your career while defining the future of software development. You'll work on problems that matter, with the autonomy to drive solutions and the support to grow into a technical leader.What you will build:Product features that delight users and make it possible for anybody to create softwareAI coding agent that understands intent and generates production-ready applicationsCloud infrastructure that provides instant, powerful development environments at global scalePlatform features that enable one click deployments and scale to millions of usersRequired skills and experience:Recent graduate (2024-2026) with a degree in Computer Science, Computer Engineering, or related fieldStrong programming skills in a modern language (JavaScript/TypeScript, Python, Go, Rust)Full-stack capabilities with experience in React, Node.js, and database technologiesGrowth orientation - eager to learn new technologies and take on increasing responsibilityCollaborative spirit - you work well in cross-functional teams and value diverse perspectivesWhat we value:Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutionsSelf-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teamsStrong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiencesContinuous learning: Passion for staying current with industry best practices and new technologiesFocus on automation: Strong belief in automating repetitive tasks and building self-healing systemsFull-Time Employee Benefits Include:💰 Competitive Salary & Equity💹 401(k) Program⚕️ Health, Dental, Vision and Life Insurance🩼 Short Term and Long Term Disability🚼 Paid Parental, Medical, Caregiver Leave🚗 Commuter Benefits📱 Monthly Wellness Stipend🧑‍💻 Autonoumous Work Environement🖥 In Office Set-Up Reimbursement🏝 Flexible Time Off (FTO) + Holidays🚀 Quarterly Team Gatherings☕ In Office Amenities Want to learn more about what we are up to?Meet the Replit AgentReplit: Make an app for thatReplit BlogAmjad TED TalkInterviewing + Culture at ReplitOperating PrinciplesReasons not to work at ReplitTo achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $30 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This RoleAs our first Data Analyst at Norm, you will establish and own our entire data capability from the ground up. You'll build the analytics infrastructure and insights that power our AI compliance engine and shape how we measure, understand, and optimize our product. Working directly with our Product, Engineering, and Executive teams, you will translate complex Compliance and Legal Engineering workflows into actionable data insights while building the foundation for future analytics initiatives.You Will:Be the first member of the Data team at Norm, establishing the team and determining what the Data practice at Norm looks like.Build end-to-end data infrastructure from scratch, including pipelines, warehousing, and ETL/ELT processesImplement comprehensive product analytics to understand how enterprise clients use our AI-driven compliance workflowsCreate measurement frameworks for evaluating AI model performance in real-world legal and compliance contextsDesign and implement self-service analytics capabilities using modern tools like Hex for visualization and dbt for semantic modelingSet up and maintain data pipelines using tools like Fivetran and orchestration platforms like AirflowEstablish data governance practices that meet enterprise security and regulatory compliance requirementsBuild dashboards and KPIs that drive strategic product and business decisionsSkills & Experience - Core5-7 years of analytics experience, ideally with 1-2 years of data engineering exposureStrong analytical background with experience at small startups where you've worn multiple data hatsProficiency with SQL, Python, and modern data stack tools (dbt, Fivetran, Hex, Airflow)Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)Experience building analytics from scratch at early-stage companiesB2B SaaS experience with understanding of enterprise customer analyticsAbility to translate complex business questions into technical data solutionsSkills & Experience - PlusesAnalytics experience in regulated industries (FinTech, RegTech, compliance)Background working with enterprise compliance or legal workflowsStartup experience with rapidly changing analytics requirementsWhat Success Looks Like - 30 DaysDevelop comprehensive understanding of our product and current data landscapeSet up foundational data infrastructure and begin implementing core analytics trackingDocument our data requirements and create a roadmap for analytics capabilitiesEstablish relationships with key stakeholders across Product, Engineering, and Business teamsWhat Success Looks Like - 60 DaysDeploy production data pipelines and establish reliable data collection across the platformLaunch initial set of product analytics dashboards for user behavior and AI model performanceBegin analysis of compliance workflow patterns to identify optimization opportunitiesCreate self-service analytics capabilities for the broader teamComp and Benefits$160,000 - $190,000 annually The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.

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Senior AI Engineer Not another research role - Build AI that’s transforming compliance workflows in enterprise organisations today. About Haast We're not just talking about AI - we're building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams today.Over the past two years, we've transformed compliance from a painful checkbox exercise into a smooth, intelligent process. Our AI-powered platform helps, compliance, and marketing teams revolutionise their operations with 80% faster reviews and 4x productivity boosts, freeing them to focus on work that matters. As the regtech industry rockets toward a $50 billion future, we're proudly leading this shift on the global stage. The Role This role is ideal for someone who wants to take ownership of high-impact systems, push the boundaries of AI and search technology, and ship models into production that enterprise teams rely on daily.. You'll design and implement hybrid recall methods that combine advanced search technologies with large language models. You’ll build scalable systems that detect compliance risks in real time and power critical decision-making for enterprise teams.Impact you'll makeDesign & Build: Architect and implement hybrid search methods combining vector databases with LLMs.Optimize & Scale: Lead the optimization of retrieval strategies and pipelines for high-recall compliance detection.Benchmark & Evaluate: Develop evaluation systems, drive continuous tuning, and set performance standards.Partner & Deliver: Collaborate with product and engineering to deliver new ML features end to end.What you'll bringMust Have:Proven experience in ML or search engineering in production Proficiency in Python and writing clean, maintainable codeHands-on experience with LLMs, RAG architectures, and real-time inference systemsExperience designing, deploying, and maintaining ML systems in productionExperience working across back-end systems and search infrastructureExperience building NLP evaluation systems Bonus points if you have:Experience with Vespa, OpenSearch, or similar search technologiesData engineering or benchmarking system designFastAPI framework experienceAWS cloud expertiseStartup or high-growth environment experienceResearch background in ML or searchDevOps and CI/CD familiarityWhy HaastGrowth & Impact Recently secured a $6M seed round led by AirTree to accelerate our growthBuild enterprise-grade AI technology that major enterprise institutions trust - not just prototypesShape how AI transforms compliance, a sector long overdue for changeAccelerate your career: learn more in 12 months than most roles offer in 3 yearsCulture & BenefitsFlexible hybrid model - Sydney preferred, Aus remote possible for the right candidateCompetitive salary and above market equity (ESOP) - we share successCollaborative, engineering-driven culture with a focus on learning and growthWork with the AI technologies everyone talks about - but rarely gets to useIf you’re looking for a high-impact role where your work shapes the future of enterprise AI, we’d love to hear from you.At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, we’d still love to hear from you. If this role sparks your interest, reach out - let’s chat.

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Hey! We're team Granola If you haven't already, you should check out what we're building, and why you should work here.We’re looking for a Analytics Engineer who loves turning raw data into powerful insights and predictive models. You’ll work closely with product, engineering, and ops to help shape our roadmap — from hypotheses, to experiments, to scalable models in production. You'll have a big impact on how we unlock value from our data, and scale Granola’s analytics and intelligence capability as we 100× in users.In this role, you will:Own Granola's data infrastructureMaintain and improve pipelines between our data warehouse and various data sources, including our production database, Amplitude/Posthog, and other SaaS tools we use, and build new pipelines.Build improvements to our data transformation process using SQL and dbt, optimising for performance and ease of querying.Make architecture decisions regarding data infrastructure.Define metrics and dashboards to track business health and model performance.Continuously evaluate and iterate on models in production — improving, retraining, and optimising.Mentor others in data thinking, share knowledge, and help elevate our analytical culture.Your background looks something like:Several years doing applied data science / machine learning in a product environment (consumer SaaS, fintech, marketplace or similar).Strong foundation in statistics, experimentation, causal inference, and common ML techniques (regression, tree ensembles, clustering, time series).Hands-on experience with ML frameworks and tools (e.g. Python, scikit-learn, PyTorch or TensorFlow, MLflow or equivalent).Experience deploying models (e.g. via REST endpoints, batch jobs, feature store) and monitoring them.Comfortable working with data pipelines, SQL, data engineering, ETL, handling large datasets.Strong communication skills — able to explain technical insights to non-technical stakeholders.Bonus: experience with reinforcement learning, LLMs or generative AI, real-time streaming, or causal modelling.As a person, you…Are first and foremost a builder — you want to go from zero to one, and ship things that matter.Thrive in working in person from our London office (most of the time).Love the challenges (and messiness) of a growing startup environment — you either have startup experience or are drawn to that kind of fast feedback loop.Value working with people who are kind, ambitious, and pragmatic.Are excited about AI/ML, and driven by turning data into impact (direct experience not strictly required in every domain).Enjoy ambiguity, shifting priorities, and iterating quickly.About the opportunity We are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About Haast We’re not just talking about AI - we’re building one of the first enterprise-grade LLMs delivering real value to compliance and legal teams today. Our AI-powered platform cuts review times by up to 80% and boosts productivity by 4x for global legal, compliance, and marketing teams. With regtech racing toward a $50B market, Haast is leading the AI revolution in enterprise compliance. Think of it this way: Design has Canva. Projects have Trello. Compliance has Haast. The Role As a Sales Engineer at Haast, you'll be the bridge between our cutting-edge AI platform and enterprise customers who are hungry for transformation. You'll work hand-in-hand with our core engineering team to build custom POCs, extract powerful data insights, and deliver customer-requested features that showcase the magic of our compliance engine. This is where technical excellence meets customer success and where you'll help enterprises fall in love with automation! Impact You'll Make Build killer POCs that demonstrate our platform's capabilities to enterprise prospectsExtract and visualize data insights that drive customer success and showcase ROICollaborate directly with engineering to deliver custom features and integrationsPartner with the sales team to translate complex technical concepts into compelling business valueImplement Key Features work with the core engineering team at Haast to build customer requestsCreate compelling demos that show how we transform compliance from pain point to competitive advantageSupport customer implementations and ensure seamless technical onboarding What You'll BringMust Have:Strong understanding of enterprise software and technical architecturesExperience building POCs, demos, or technical prototypesSolid Python and Javascript skills with ability to work with APIs and databasesTrack record of translating technical capabilities into business outcomesProblem-solving mindset with ability to work in a fast-paced startup environment Nice to Have:Experience in compliance, legal tech, or regulated industriesBackground with AI/ML platforms or data analyticsSkills in Svelte, FastAPI, or modern Python/web frameworksKnowledge of PostgreSQL, search, or data-visualization toolsFamiliarity with AWS and security frameworks (incl. vendor security questionnaires)Previous startup or high-growth environment experience Why You'll Love It HereGround floor opportunity at one of the fastest-growing regtech startups in AustraliaDirect customer impact - your solutions will be used by major enterprises dailyFront-line problem solving - work directly with customers to solve real-world challengesCutting-edge tech - work with the latest AI, search, and automation technologiesFlexible working - we support work-from-home and flexible arrangementsContinuous learning - massive opportunities for professional developmentMeaningful mission - help enterprises reduce risk while freeing up humans for high-value work Ready to Join the Team? If you're excited about combining technical excellence with direct customer impact, we want to hear from you!This is your chance to join a high-growth startup that's reshaping an entire industry.At Haast, we believe bold ideas come from diverse perspectives. We’re committed to building a team that reflects the world we work in; across gender, background, orientation, ability, and experience. Even if you don’t tick every box, we’d still love to hear from you.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team The Enterprise Agents Product Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the role An ideal candidate meets at least the following requirements: End-to-End Product Development: Led the creation of customer-facing products from ideation to launch, driving the full product lifecycle (0 to 1). Cross-Functional Ownership: Acted as a product owner, seamlessly wearing multiple hats, including product management, engineering, design, and customer support, to deliver cohesive solutions. Agentic Product Experience: Hands-on experience building products that leverage autonomous or agentic systems, focusing on user-driven outcomes. Broad Technical Exposure: Worked across a variety of programming languages, frameworks, or platforms, showcasing adaptability and a learning mindset. Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB Knowledge of service observability, analytics and reliability best practices.  Additionally, any of the below points will help a candidate stand out: Experience with Docker, Kubernetes, and containerized applications, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping), Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in any language. Distributed systems design interview. Annual Salary Range $180,000 - $440,000 USD Benefits: Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role  As a Cloud Platform Product Manager at Cerebras, you will define how startups and enterprises access and utilize the power of Cerebras wafer-scale AI compute through our cloud platform.  You will own product strategy for our Cloud Platform and Serverless Inference product, including Enterprise and Security features. Serverless Inference is how most developers initially experience Cerebras. You'll shape how this product scales by solving capacity management, forecasting, service utilization, SLA guarantees, and connecting insights to customer success. You'll also launch new offerings that match key customer needs in the market.  You will partner closely with Engineering, Sales, and GTM teams to build and scale our Cloud platform and Serverless Inference business.  Responsibilities  Define and own the product vision, strategy, and roadmap for the Cerebras Cloud platform – balancing rapid iteration with long-term platform evolution to build the premier Serverless Inference offering for the most ambitious and valuable AI applications.  Drive capacity management and forecasting to optimize resource allocation and predict demand  Analyze service utilization patterns to maximize platform efficiency and customer value  Define SLA frameworks and performance standards to ensure reliable service delivery at scale  Collaborate with customer support to translate user feedback into platform improvements and feature priorities  Lead serverless endpoint business strategy including pricing, packaging, and go-to-market execution with Sales, Marketing / Developer Relations, and Customer Success.  Stay on the cutting edge of API, developer-tools, and AI-infrastructure trends to keep Cerebras’ offering best-in-class.  Skills & Qualifications  Passion and ability to rapidly prototype new AI use case demos or develop internal AI-native systems and workflows to accelerate product development.  Experience building products in the AI space. Experience with both Developer and Enterprise audiences. Familiarity with OSS inference stacks (vLLM, SGLang, Dynamo).     Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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📐 About this roleWe’re looking for a Strategic customer success manager to lead AI powered transformation for our Fortune 50 customers in the CPG industry. This role is designed for an experienced professional with deep expertise in CPG who thrives on driving innovation within this ecosystem. The ideal candidate is passionate about integrating AI solutions into core CPG workflows, identifying tangible business value, and building strong, strategic partnerships with customers.As our Strategic customer success manager, you’ll be pivotal in refining our processes for onboarding, adoption, and retention within the CPG sector. With an NRR of +130%, and GRR is +95%, you’ll be building on a world-class foundation to drive even greater success.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilities:Lead strategic relationships with senior stakeholders across Fortune 50 CPG customers, acting as the main point of contact and trusted advisorDrive AI adoption within customer organizations by developing tailored success plans that align AI solutions with key business objectives and measurable outcomesManage complex, high-value programs that focus on AI - powered transformation, ensuring seamless execution, adoption, and business value realizationOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable for customer retention: Drive both Gross and Net dollar retention rate targets for your customersCollaborate closely with Sales to identify and execute expansion opportunities, ensuring mutual growth through cross-sell and up-sell initiativesAdvocate for customer needs internally: Leverage CPG-specific insights to influence product strategy and enhance the customer experienceLeverage data analytics: Analyze product usage and adoption data to uncover valuable insights, empowering customer champions with smarter decision-makingLead the customer journey: Ensure a seamless experience from onboarding through renewals and expansions, always focusing on long-term customer success and satisfaction⭐️ Is this you?7+ years experience in CPG, ideally with in-house expertise3-5+ years experience in a customer facing saas or consulting role, with experience in driving business transformation, strategy, or enablementProven ability to engage C-level stakeholders, with experience influencing executive decision-makers and driving adoption at the highest levelsStrong understanding of CPG industry dynamics, including its challenges, opportunities, and specific needs for digital transformationA track record of leading complex programs with a focus on strategic alignment, KPIs, and driving large-scale adoptionData driven with strong business acumen: Ability to link product value and AI solutions to measurable business outcomesExcellent communication skills: A skilled storyteller who can clearly articulate value propositions and insights to both technical and non-technical audiencesProactive, self-motivated, and highly organized, thriving in a fast-paced, high-growth environmentA natural affinity to our values of Connect, Challenge, Own🌟 Preferred skillsBackground in management consulting, particularly with a focus on AI or digital transformation in CPGExperience in operational transformationExperience managing large-scale change management programs or AI rollouts in complex organizationsExceptional presentation skills: Able to create and deliver compelling narratives to executive audiences, driving strategic initiatives forward 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.