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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 RobinRobin is on a mission to rebuild the legal industry — starting with making contracts simple for everyone. We are a pioneer in Legal AI, built on proprietary models, licensed data, and deep partnerships with Anthropic and AWS. Since 2019, we’ve expanded our footprint to 4 continents and have been supporting many of the world’s most successful businesses, including GE, Pfizer, KPMG, and UBS.About this roleThis role is within the Legal Team at Robin, and will involve working directly with investment teams at some of the world’s largest private equity and debt funds, financial institutions and corporates as they explore transaction opportunities. In addition, Robin offers fantastic opportunities for personal career development in a variety of areas alongside traditional legal work, including client onboarding and management, product development and ongoing customer success.This role will suit an experienced legal professional (whether a qualified solicitor or paralegal) who might be considering a position within a legal team at an investment bank, fund or asset management company. At Robin we are proud to call a large number of these institutions our clients, and our core transactional work covers many of the same areas and document types – but we work in a much more modern, creative and flexible way! #LI-SA1What you'll doReviewing and negotiating contracts such as confidentiality agreements, engagement letters and release letters, using a combination of Robin’s AI technology and your own legal experience.Helping establish and agree contract playbooks with current and new clients.Reviewing the work of junior team members and assisting with their professional development and ongoing training (all of which will also be available to you).Testing Robin’s technology products and feeding back issues, bugs and areas for improvement to our engineering and machine learning teams.As Robin continues to experience success, you will also have the chance to get involved in exciting business-related projects, including improving the operating model for our managed services teamQualificationsYou will have at least 1 years’ experience drafting, reviewing and negotiating the core transactional documents regularly encountered by our clients (including confidentiality agreements, engagement letters and release letters). You will have previously worked with private equity, asset management or hedge fund clients, whether in-house, at a service provider or at a law firm, and will understand typical fund transaction structures and timelines.You will enjoy taking the initiative and seeking answers to interesting practical and legal issues. You will be both technical and commercial, both in the practice of law and outside of it. You will be interested in developing your client management skills at a faster pace than might be possible elsewhere, and ideally you’ll be looking forward to taking ownership of some of our client relationships in due course. Last (but certainly not least), you will be motivated by working in a fast-paced, diverse and intellectually challenging environment where collaboration between lawyers and non-lawyers is essential to achieving results.What’s in it for youSalary: Up to $75,000, depending on experience.Hybrid schedule: We offer a flexible working schedule. #LI-HYBRIDEquity package: Generous equity scheme - everyone gets to be an owner of Robin AI!What’s it like working at Robin?Our culture and values attract people who are creative, resourceful, and share our passion for excellence. At Robin, you're encouraged to push yourself and empowered to take risks. We support each other to think big, try new ideas, and navigate uncertainty. Whether you're at our headquarters or one of our worldwide offices, you'll find a world of opportunities to grow, thrive, and make a meaningful impact. See what life is like at Robin.Diversity, Equity and Inclusion at RobinWe are committed to building one of the most diverse technology companies in the world. As of 2024, more than 30% of our employees come from ethnic minority backgrounds, and 51% of roles are held by women. We know that transforming the legal industry requires diverse perspectives, so we're creating an environment where innovation thrives through inclusion.Robin operates a direct hiring model and any speculative CVs shared via agencies will be treated as a gift.

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About HappyrobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto.HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot..Role OverviewWe are looking for a versatile and highly skilled Forward Deployed Engineer to join our team. In this role, you will combine strong technical abilities with excellent communication skills, working directly with customers to ensure they maximize the value of HappyRobot’s AI platform. You will be involved in onboarding, implementation, and ongoing support, while also contributing to product development and innovation.What You’ll DoCustomer-Facing Engineering – Work closely with customers from onboarding to ongoing usage, helping them integrate and optimize our AI solutions.Technical Development – Build new features, MVPs, and scalable solutions that directly impact customer outcomes.Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools.AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases.Integration & APIs – Manage APIs and integrations with third-party systems to ensure seamless functionality for customers.Cross-Functional Collaboration – Partner with Product, Engineering, and Customer Success teams to deliver tailored solutions.Iterative Problem-Solving – Continuously iterate and improve AI solutions based on customer feedback and evolving requirements.Project Management – Prioritize and manage multiple projects under tight deadlines while maintaining high-quality results.Must HaveStrong full-stack experience: React, TypeScript, Node.js.Hands-on proficiency in Python.Experience building AI/ML applications, including LLM prompting and tuning.Ability to manage APIs and integrate with third-party systems.Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.Proven ability to prioritize and manage multiple projects under tight deadlines.Founder mindset: highly independent, takes ownership, and thrives in a fast-paced environment.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for eight figure ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Comprehensive Benefits Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme OwnershipWe take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.CraftsmanshipPutting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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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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About HappyrobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto.HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.Role OverviewWe are looking for a versatile and highly skilled Forward Deployed Engineer to join our team. In this role, you will combine strong technical abilities with excellent communication skills, working directly with customers to ensure they maximize the value of HappyRobot’s AI platform. You will be involved in onboarding, implementation, and ongoing support, while also contributing to product development and innovation.What You’ll DoCustomer-Facing Engineering – Work closely with customers from onboarding to ongoing usage, helping them integrate and optimize our AI solutions.Technical Development – Build new features, MVPs, and scalable solutions that directly impact customer outcomes.Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools.AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases.Integration & APIs – Manage APIs and integrations with third-party systems to ensure seamless functionality for customers.Cross-Functional Collaboration – Partner with Product, Engineering, and Customer Success teams to deliver tailored solutions.Iterative Problem-Solving – Continuously iterate and improve AI solutions based on customer feedback and evolving requirements.Project Management – Prioritize and manage multiple projects under tight deadlines while maintaining high-quality results.Must HaveStrong full-stack experience: React, TypeScript, Node.js.Hands-on proficiency in Python.Experience building AI/ML applications, including LLM prompting and tuning.Ability to manage APIs and integrate with third-party systems.Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.Proven ability to prioritize and manage multiple projects under tight deadlines.Founder mindset: highly independent, takes ownership, and thrives in a fast-paced environment.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Fast Growth - Backed by a16z and YC, on track for double-digit ARR.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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Aleph Alpha Research’s mission is to deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in development, engineering, logistics, and manufacturing processes.We are seeking a Research Program Manager to define, refine, and align the research scope across our simultaneous engineering teams in Aleph Alpha Research. This role offers an exciting opportunity to work at the forefront of Al innovation and requires a unique blend of technical expertise in both Al research and SW engineering, program management, and communication skills.The Research Program Manager coordinates Al research projects and tool development efforts, scoping and tracking goals and metrics, establishing project roadmaps, aligning with various stakeholders at different levels and across organizations, and ensuring delivery of impactful research artifacts and scalable solutions into production. Concretely, this will involve improving the speed of converting research projects to high technology-readiness levels (TRLs), overseeing sign-offs at different phases, and (de)prioritizing focuses to be better aligned with AAR’s overall mission. Operating at eye-level with other researchers and engineers in our flat organizational structure, you will play a pivotal role in setting the direction of our research efforts without direct managerial responsibilities.Your expertise will help shape the boundaries of innovative research while ensuring it aligns with mission and strategic goals, customer needs, technical feasibility, as well as policy considerations.Your ResponsibilitiesScope Definition & Program Planning: Collaborate with research teams to define and refine the scope of foundational model training, Al agent behavior, and explainability initiatives. Develop and review project programs for targeted capabilities in collaboration with the research teams.Goal Validation & Tracking: Manage goal setting, prioritization, and breakdown for programs and projects up to level of individual goals. Conduct and manage technical review on research program and project objectives to ensure alignment with Aleph Alpha's mission, organizational priorities, and customer needs.Innovation Moderation: Initiate, plan, and facilitate team and project ideation and retrospective reviews and workshops, end-to-end across the full technology development cycle from idea to deployment in production.Release Quality, Coordination, and Communication: Work closely with teams across Aleph Alpha to coordinate and ensure quality of research releases and related communication artifacts.Research and Engineering, Publications: Contribute to the advancement of state-of-the-art algorithms and research tech infrastructure while guiding their practical application across research domains. Publish technical findings both internally and externally, and be part of team initiatives that make code assets source-available.Your ProfileBasic QualificationsA Master’s degree in a relevant field such as Computer Science, Data Science, Engineering, or a related discipline.2+ years of experience in technical program management or research coordination in the AI/ML or software engineering domains.Strong understanding of foundational AI/ML concepts, model training, deployment processes, and software development life cycles.Excellent project management skills with the ability to handle multiple, simultaneous initiatives.Exceptional communication and interpersonal skills, enabling collaboration across technical and non-technical teams.Ready to relocate to work from Heidelberg, Germany, or otherwise come to our Heidelberg office regularly, potentially weekly.Preferred QualificationIn-depth knowledge of foundational AI technologies, including model training pipelines, deployment frameworks, and explainability techniques.Proficiency in programming and scripting languages commonly used in AI/ML workflows (e.g., Python, PyTorch, TensorFlow).Hands-on experience in scoping and managing AI/ML research projects, including the development of metrics to evaluate research progress and outcomes.Familiarity with state-of-the-art foundational models, their capabilities, and their limitations.Our TenetsWe believe embodying these values would make you a great fit in our team:We own work end-to-end, from idea to production: You take responsibility for every stage of the process, ensuring that our work is complete, scalable, and of the highest quality.We ship what matters: Your focus is on solving real problems for our customers and the research community. You prioritize delivering impactful solutions that bring value and make a difference.We work transparently: You collaborate and share your results openly with the team, partners, customers, and the broader community through publishing and sharing results and insight including blogposts, papers, checkpoints, and more.We innovate through leveraging our intrinsic motivations and talents: We strive for technical depth and to balance ideas and interests of our team with our mission-backwards approach, and leverage the interdisciplinary, diverse perspectives in our teamwork.What You Can Expect From UsBecome part of an AI revolution!30 days of paid vacationAccess to a variety of fitness & wellness offerings via WellhubMental health support through nilo.healthSubstantially subsidized company pension plan for your future securitySubsidized Germany-wide transportation ticketBudget for additional technical equipmentFlexible working hours for better work-life balance and hybrid working modelVirtual Stock Option PlanJobRad® Bike Lease

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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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Worth AI, a leader in the computer software industry, is looking for a talented and experienced Principal Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth is looking for a Principal Data Engineer to own the company-wide data architecture and platform. Design and scale reliable batch/streaming pipelines, institute data quality and governance, and enable analytics/ML with secure, cost-efficient systems. Partner with engineering, product, analytics, and security to turn business needs into durable data products.ResponsibilitiesWhat you will do: Architecture & Strategy Define end-to-end data architecture (lake/lakehouse/warehouse, batch/streaming, CDC, metadata). Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models. Publish roadmaps, ADRs/RFCs, and “north star” target states; guide build vs. buy decisions. Platform & Pipelines Design and build scalable, observable ELT/ETL and event pipelines. Establish ingestion patterns (CDC, file, API, message bus) and schema-evolution policies. Provide self-service tooling for analysts/scientists (dbt, notebooks, catalogs, feature stores). Ensure workflow reliability (idempotency, retries, backfills, SLAs). Data Quality & Governance Define dataset SLAs/SLOs, freshness, lineage, and data certification tiers. Enforce contracts and validation tests; deploy anomaly detection and incident runbooks. Partner with governance on cataloging, PII handling, retention, and access policies. Reliability, Performance & Cost Lead capacity planning, partitioning/clustering, and query optimization. Introduce SRE-style practices for data (error budgets, postmortems). Drive FinOps for storage/compute; monitor and reduce cost per TB/query/job. Security & Compliance Implement encryption, tokenization, and row/column-level security; manage secrets and audits. Align with SOC 2 and privacy regulations (e.g., GDPR/CCPA; HIPAA if applicable). ML & Analytics Enablement Deliver versioned, documented datasets/features for BI and ML. Operationalize training/serving data flows, drift signals, and feature-store governance. Build and maintain the semantic layer and metrics consistency for experimentation/BI. Leadership & Collaboration Provide technical leadership across squads; mentor senior/staff engineers. Run design reviews and drive consensus on complex trade-offs. Translate business goals into data products with product/analytics leaders. Requirements 10+ years in data engineering (including 3+ years as staff/principal or equivalent scope). Proven leadership of company-wide data architecture and platform initiatives. Deep experience with at least one cloud (AWS) and a modern warehouse or lakehouse (e.g., Snowflake, Redshift, Databricks). Strong SQL and one programming language (Python or Scala/Java). Orchestration (Airflow/Dagster/Prefect), transformations (dbt or equivalent), and streaming (Kafka/Kinesis/PubSub). Data modeling (3NF, star, data vault) and semantic/metrics layers. Data quality testing, lineage, and observability in production environments. Security best practices: RBAC/ABAC, encryption, key management, auditability. Nice to Have Feature stores and ML data ops; experimentation frameworks. Cost optimization at scale; multi-tenant architectures. Governance tools (DataHub/Collibra/Alation), OpenLineage, and testing frameworks (Great Expectations/Deequ). Compliance exposure (SOC 2, GDPR/CCPA; HIPAA/PCI where relevant). Model features sourced from complex 3rd-party data (KYB/KYC, credit bureaus, fraud detection APIs) Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role: We are looking for a highly skilled engineer with deep expertise in building and operating observability platforms at scale. You will design, develop, and run Crusoe’s next-generation observability stack, enabling engineers to understand the internal state of distributed systems through metrics, logs, and traces. Your work will ensure reliability, performance, and actionable insights across Crusoe’s global infrastructure and cloud platform.What You’ll Be Working On:Designing and operating scalable observability systems (metrics, logging, tracing) across multi-datacenter Kubernetes environmentsArchitecting end-to-end telemetry pipelines, including ingestion, storage, querying, and visualizationExtending monitoring and alerting with Prometheus, Alertmanager, Thanos/Cortex, Grafana, and OpenTelemetryBuilding scalable log collection and processing pipelines with Fluent Bit, Vector, Loki, or ELK/Opensearch stacksImplementing distributed tracing platforms (Tempo, Jaeger, OpenTelemetry) and integrating with service meshes, load balancers, and APIsDefining and driving adoption of SLOs, SLIs, and error budgets across services and teamsAutomating provisioning and scaling of observability infrastructure with Kubernetes, Terraform, and custom tooling (Go, Python)Ensuring reliability and cost efficiency of telemetry pipelines while supporting high-volume workloads (AI/ML, HPC clusters, GPU infrastructure)Embedding security best practices into observability platforms, including RBAC, TLS, secret management, and multi-tenant access controlsPartnering with engineering teams to embed observability into applications, services, and infrastructureMentoring engineers and shaping Crusoe’s observability strategy and technical roadmapWhat You’ll Bring to the Team:7+ years of experience in infrastructure or platform engineering, with a focus on observability and monitoring systemsDeep expertise with metrics systems (Prometheus, Thanos, Mimir, Cortex), logging pipelines (Fluent Bit, Vector, Loki, ELK/Opensearch), and tracing platforms (Jaeger, Tempo, OpenTelemetry)Strong programming skills in Go or Python for automation, operators, and custom integrationsExperience running observability platforms on Kubernetes and operating them at scale across multi-datacenter environmentsProven ability to design, optimize, and scale telemetry pipelines handling high cardinality and high throughput dataSolid understanding of distributed systems, performance engineering, and debugging complex workloadsFamiliarity with service meshes, networking, and workload instrumentation (Envoy, Istio, OpenTelemetry SDKs)Strong collaboration skills and the ability to influence engineering teams to adopt observability best practicesBonus Points:Contributions to open source observability projects (Prometheus, OpenTelemetry, Grafana, Loki, etc.)Experience supporting AI/ML or GPU-heavy environments with high observability demandsKnowledge of event-driven or streaming systems (Kafka, NATS, Pulsar) used in telemetry pipelinesExperience implementing cost optimization strategies for large-scale observability platformsBackground in incident response, chaos engineering, and reliability practicesBenefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation:Compensation will be paid in the range of $166,000 - $201,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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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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Figure is an AI robotics company developing a general-purpose humanoid. We’re focused on tackling the complex, unstructured environment of the home as a proving ground for general robotics. We’re based in San Jose, CA and require 5 days/week of in-office collaboration. We’re looking for a Middleware Software Intern for Winter 2026 to help build out the core platform infrastructure that keeps our robot running. How do you enable apps on a robot to exchange 320,000,000 messages per hour, 24 hours a day, without fail? How do you efficiently capture and store all of that data? And how do you give developers the tools to visualize and interact with it? These are the types of challenges you’ll be working on. This internship is designed for students in their final year of an undergraduate or master’s program, as well as recent graduates who are on track to complete their degree by the end of 2026 (or the following year). Responsibilities Implement and test C++ software running on embedded Linux systems Write Python scripts to investigate and resolve issues Work with our testing infrastructure to ensure fixes remain stable Requirements Graduate student or recent graduate in Computer Science or related field Available for a minimum of 10 weeks (1–2 terms preferred) Demonstrated experience on hardware/software projects outside of coursework Proficient in C++ and Python Strong understanding of Linux Solid knowledge of computer architecture and networking protocols Bonus Qualifications Experience with the Bazel build system Familiarity with timing-sensitive environments Knowledge of shared memory and lock-free systems Exposure to TypeScript

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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.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!Snorkel AI is hiring a Technical Delivery Manager (TDM) to lead data development projects from start to finish. You will coordinate cross-functional teams, manage risks, and keep each initiative on track and on budget. The TDM will own every phase of the project lifecycle, ensuring deliverables meet Snorkel AI’s standards of quality. Our projects sit at the cutting edge of AI, requiring a focus on detail and a readiness to adapt as the field advances. Main Responsibilities Make Work Visible: Break tasks down, track progress, and keep stakeholders informed about changes, risks, or blockers. Bridge Concept and Execution: Convert abstract requirements into clear project plans. Manage Data Flows: Oversee data ingestion, transformation, and storage across multiple systems, leveraging SQL, JSON, and query management. Identify and Mitigate Risks: Maintain a risk management plan and apply mitigation strategies as needed. Drum Up Cross-Functional Ownership: Provide spirited encouragement so teams see how their work fuels the project’s overall impact. Collaborate with Client Success: Work with the Client Success team to structure project details for external or client-facing materials. Manage Budget: Oversee project finances by tracking expenses, aligning resources with project goals, and ensuring spending stays within approved limits. Communicate budget clearly to stakeholders and provide timely updates on financial risks or adjustments. Communicate with Data: Present updates and forecasts using data-driven insights for diverse audiences. Minimum Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field  5+ years in technical service delivery or technical project management Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) to create, interpret, and present insights. Experience with SQL, JSON, python and query management for pulling, pushing, and consolidating data from multiple sources. Proven ability creating solutions “from scratch” and adapting swiftly to evolving needs Ability to adapt plans in resource-constrained or fast-changing environments Familiarity with system architecture and AI/ML concepts Strong communication and stakeholder management skills Preferred Qualifications Experience managing projects involving data labeling, annotation workflows, or LLM training Proficiency with Agile methodologies and project management tools (e.g., Jira, Confluence) Relevant certifications (e.g., PMP, PMI-ACP) Experience at a startup or growth-focused organization MBA or consulting background with a track record of turning broad goals into measurable outcomes Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. This is a remote position based in Mexico. To support global hiring, this role will be employed through our Employer of Record partner. You will be a full-time Snorkel employee, fully integrated into our team and culture Pay Range: $4,000-$7,000 per month (USD)     #LI-GM1Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About the TeamAt OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To realize this vision, we’re building a team to help organizations worldwide unlock the potential of AI while upholding OpenAI’s values of safety, responsibility, and transparency.The Customer Education team is responsible for helping every user become AI-enabled - guiding to real value today, and preparedness for an increasingly advanced AI future. We do this through a system of programs, experiences, resources we can deliver at the scale of demand.About the roleWe’re looking for a strategic, hands-on lead for our enablement experience within the Education vertical. You’ll shape and deliver programs that guide learners from first setup to confident, ongoing use—helping the next generation (and the people who teach them) get AI-ready and use it responsibly—while evolving the approach to match our product pace and the academic calendar.This is a highly cross-functional role: you’ll partner with the Education team, Sales, Customer Success, Product, Marketing, and Data to design and launch scalable initiatives grounded in audience insight, structured experimentation, clear storytelling, and thoughtful measurement.In this role, you will:Set the EDU program strategy. Define target outcomes by audience (student, teacher/faculty, admin) across K-12 and Higher Ed; map journeys from orientation to confident use.Design and deliver learning at scale. Build an ecosystem of content, experiences and distribution (guides, email sequences, development sessions, webinars, courses).Make it role-aware. Create age-appropriate student onboarding, teacher/faculty workflows, and admin enablement (policies, safeguards, reporting).Pilot and prove. Run experiments and pilots with clear hypotheses; measure adoption, behavior impact, and AI outcomes. Scale proven programs.Measure and iterate. Define success metrics, partner with Ops/Data to instrument dashboards, and run experiments (A/B tests, holdouts) to improve activation and ongoing use.Experiment and evolve to a constantly changing landscape by introducing new elements (like badges, credentials or advanced learning paths).What you’ll bring:10+ years in customer education, learning design, lifecycle/enablement, or EDU program leadership at an edtech or enterprise SaaS company, with meaningful K-12 and/or Higher Ed exposure.Outcome-oriented operator who sets targets, instruments programs, and communicates behavioral and business impact clearly.Track record building programs that drive measurable adoption and sustained use across different learner roles.Comfort switching between strategy and hands-on execution (you can map the journey and ship the assets).Clear, plain-spoken, and audience-aware communication.Data-informed judgment, using product and program signals to prioritize and iterate.You work well with a diverse cross-functional team, including with Customer Success, Product, Legal/Safety, Global Affairs in complex institutions.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.Our Role We’re looking for a Solutions Consultant II to provide technical and subject matter expertise to some of the world’s most innovative, fast-growing companies. You will collaborate with our Sales team to close new business by developing a deep understanding of our clients’ business needs, whilst ensuring our existing customers maximize value by crafting AI-first strategies to be adopted by their entire organization. In other words, you will be responsible for guiding and supporting customers throughout their entire lifecycle with Ada, from their initial engagement as a prospect, through to implementation and their long-term success with our company and product.  About You 2+ years of strategy/management/technology consulting and/or pre-sales engineering experience. Working knowledge of APIs and a common understanding of SaaS platforms (e.g. Shopify, Salesforce, Zendesk, Hubspot, etc.) Excellent communication and presentation skills, with the ability to effectively explain technical concepts to non-technical audiences. Strong relationship building skills as you will be required to maintain and develop technical champions across the table. Experience building relationships with VP level stakeholders will be considered an asset. Technically and analytically curious, where you demonstrate the ability to be a perpetual learner and love to make new discoveries and improve the status quo. Reliable and resilient team player with a start-up mentality able to deliver on your commitments whilst managing multiple competing priorities in a fast-paced constantly-changing environment. Generative AI implementation experience will be considered a strong asset. Outcomes Lead discovery sessions with customers and prospects to uncover requirements and challenges and identify opportunities in their businesses. Utilize your knowledge of APIs and SaaS platforms to address technical questions and provide solutions. Deliver concise, compelling, value-based presentations (product demos, technical assessments, roadmaps etc.) to all levels of an organization, including C-suite (e.g. CTO, CMO). Build custom product demonstrations and sandboxes that capture the long-term value of Ada’s Automation-First strategy. Scope and design integrations into customers' existing technology stack. Support pre-sales meeting quarterly revenue goals through closing new business.  Support customers through their implementation and going live with our product. Support post-sales retaining and expanding existing client accounts by delivering quarterly business reviews and identifying upsell opportunities. Drive adoption and utilization of the platform with a focus on increasing automated resolutions for existing customers. Collaborate with Product Management, Engineering, and Marketing to continuously provide feedback and improve Ada’s products and marketing. #LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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Director of Analytics & Research📍 Houston, TX (In-Person) | Full-TimeWe are a newly established single-family office in Houston with a mission to generate superior long-term returns. Backed by a young principal with a long investment horizon, we combine a broad mandate with advanced analytics and AI-driven processes to transform how investments are researched, underwritten, and managed. Our team brings experience from top roles across private markets, hedge funds, commodity trading, and global asset management. We are hiring a Director of Analytics & Research to play a pivotal role in shaping our investment strategy and risk framework. This role is ideal for a hands-on leader who wants to innovate at the intersection of technology, research, and investing. This role is based in Houston, TX, and relocation assistance is available. Why Join Us?This is a unique opportunity to build and lead a function at the center of the investment process. You’ll work directly with the CIO, influence decision-making, and apply cutting-edge data science and technology to private market and opportunistic investments.What You’ll DoLead research on macroeconomic, geopolitical, and sectoral trends.Design and manage risk frameworks, including stress-testing.Build dashboards for portfolio monitoring and performance attribution.Oversee data collection and ensure consistency of research inputs.Partner with the investment team to integrate insights into deal evaluationPresent findings to the CIO and Investment CommitteeWhat We’re Looking For10+ years’ experience in research, strategy, consulting, or investment managementStrong background in financial markets and economics (private capital experience a plus)Interest in applying AI/data science to investment researchComfort with tools like Python, SQL, NLP models, LLMs, and visualization platformsEntrepreneurial, collaborative mindset with strong communication skillsAn advanced degree and/or CFA are preferred but not required.What We OfferCompetitive salary and benefits packageAnnual performance-based bonusEmployee share plan tied to portfolio performanceProfit-sharing opportunitiesA chance to be part of a high-achieving, entrepreneurial team at an early stage

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: As a Delivery Excellence Manager (DEM), you will lead and orchestrate successful implementations and long-term customer engagements, making our customers wildly successful. You will be responsible for ensuring efficient technical deployment, delivering proactive strategic guidance, and building then delivering against joint success plans. DEMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support and R&D on scoped engagements. You will: Help our customers achieve real business outcomes through the use of AI Serve as the primary lead on new customer deployments including hands on guidance for the setup of SSO and connectors  Own the end-to-end delivery from kickoff to  go-live thru renewal, ensuring clarity on expectations for all stakeholders  timeline, andServices budget. Create and execute on joint success plans that drive additional adoption, deepen engagement, and result in measurable business value. Overall program management. Develop, communicate, and execute tailored project plans; facilitate cross-functional collaboration across delivery, operations, and technical teams. Provide a blend of technical guidance and strategic partnership, acting as escalation manager when necessary. Monitor and report on deployment progress, customer adoption, and satisfaction metrics. Proactively identify risks or blockers and drive resolution—escalating internally when appropriate. Guide and document improvements for onboarding processes, playbooks, and best practices. Contribute to continuous process and product improvements by providing actionable feedback and participating in internal initiatives About you: 3-5 years of experience in technical deployment, implementation management, or technical account management of SaaS products at Enterprise customers. Strong understanding of software development life cycles and methodologies, including Agile and DevOps practices. Familiarity with cloud platforms (AWS, GCP, or Azure) and related services. Excellent analytical and problem-solving skills, with a focus on troubleshooting technical issues as well as  building consensus around outcomes and success measures. Strong organizational, project management, and communication abilities. Proven experience serving enterprise clients in both strategic, consultative and tactical, hands-on roles. Experience with process documentation, playbooks, and continuous improvement initiatives. Solutions-oriented mindset; trusted advisor with capability to own escalations. Capable of handling ambiguity and thriving in a fast-paced environment. Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company is a must Technical configuration and troubleshooting A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features Strong verbal and written communication skills for collaboration between customers and technical and non-technical stakeholders. Curiosity and tenacity Note: This role with require you to work in APAC hours. Location: Bangalore