Find AI Work That Works for You

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamWe build the agentic ML systems that power Basis’s AI Accountant—so it can read documents, reason over context, and complete real accounting workflows safely and accurately.We’re practitioners of the new AI paradigm: rather than just tuning a model, we optimize the system around it—tools, memory, retrieval, orchestration, and evaluation. We push model providers to their limits when necessary (custom runtimes, bigger containers, nonstandard packages) and run the experiments required to learn quickly.We work from first principles with tight loops alongside Research, Product, Platform, and Accounting SMEs. We think in systems and care deeply about observability, clear abstractions, and code that’s easy to reason about in production.About the RoleAs an Engineering Leader on the ML Systems team, you’ll be responsible for achieving company-level outcomes through the people and systems you build. Your job is to make the team successful—to deliver ambitious technical goals while fostering an environment where exceptional engineers can do their best work.You’ll operate across research and production, experiment and impact—bridging strategy and execution. You’ll make hard trade-offs explicit, design frameworks for fast iteration, and ensure that the entire team learns faster than the problems evolve.This is a hands-on leadership role: you’ll drive technical direction, architect systems, and review critical code—but your real leverage will come from clarity, conviction, and how effectively you grow others.What you’ll be doing:1. Build and lead the applied-ML organizationHire and grow a world-class team of ML and systems engineers; set crisp goals and coach continuous development.Foster a culture of rigor, iteration, and shared learning—where people move fast and stay grounded in reality.Establish clear processes for experimentation, evaluation, and delivery; make success criteria objective and comparable.Be a source of clarity and calm when things are ambiguous or hard.2. Drive ML systems strategy and executionDefine and evolve our multi-agent architecture: autonomy boundaries, orchestration logic, context management, and safety layers.Own evaluation infrastructure—offline, online, and hybrid—that lets us ship models with confidence and traceability.Integrate retrieval, memory, and context management into production-grade agent loops; ensure stability under real workloads.Align closely with Research, Product, and Platform to translate insights into production systems with measurable impact.3. Elevate the craftInsist on clean abstractions, legible systems, and deep observability; make complexity visible and manageable.Set and uphold high standards for experimentation, documentation, and decision quality.Continuously improve team processes—reviews, onboarding, retros, performance cycles—to compound speed and quality.Coach engineers not just to build better models, but to think better about systems. 📍 Location: NYC, Flatiron office. In-person team.What We’d Love to SeeThink in systems—models, people, organizations—and can operate across all three.Care about clarity and iteration more than flash; you ship, learn, and refine relentlessly.Have conviction in your decisions but stay open to being wrong.Are driven by both technical excellence and the growth of those around you.See ambiguity as an invitation to lead.What Success looks like in this roleProcess-oriented: Skilled at breaking down complex problems into clear, repeatable steps and managing execution.Strong communicator: Clear in explaining concepts and comfortable collaborating across all levels of seniority.First-principles reasoner: Question assumptions and apply lessons creatively to new situations.Company-builder: Eager to lay groundwork both technically and culturally as we rapidly scale.Office lover: Prefers face-to-face interactions in our NYC office.All-in: Driven to seize a massive opportunity, accelerate growth, and commit deeply to Basis’s success. In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this team?The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating Kubernetes GPU superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. We’re hiring software engineers at multiple levels. Whether you’re early in your career or a seasoned staff engineer, you’ll find opportunities to grow and make an impact here. Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.As a Software Engineer in the Internal Infrastructure team, you will:Build and operate Kubernetes compute superclusters across multiple cloudsPartner with cloud providers to optimize infrastructure costs, performance, and reliability for AI workloadsWork closely with research teams to understand their infrastructure needs and identify ways to improve stability, performance, and efficiency of novel model training techniquesDesign and build resilient, scalable systems for training AI models, focusing on creating intuitive user interfaces that empower researchers to self-serve to troubleshoot and resolve problemsEncourage software best practices across our company and participate in team processes such as knowledge sharing, reviews, and on-callYou may be a good fit if you:Have deep experience running Kubernetes clusters at scale and/or scaling and troubleshooting Cloud Native infrastructure, including Infrastructure as CodeHave strong programming skills in Go or PythonPrefer contributing to Open Source solutions rather than building solutions from the ground upAre self-directed and adaptable, and excel at identifying and solving key problemsDraw motivation from building systems that help others be more productiveSee mentorship, knowledge transfer, and review as essential prerequisites for a healthy teamHave excellent communication skills and thrive in fast-paced environmentsBonus qualifications:You've previously worked with ML training infrastructure and GPU workloads and have familiarity with RDMA networkingYou have expertise to support and troubleshoot low level Linux systemsYou have experience collaborating with research teams or machine learning engineersIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to work on Faculty’s product Frontier, working as a Lead Data Scientist in our Customer Development team. You’ll have a crucial opportunity to shape the technical vision for how we deliver our flagship Frontier product to customers and guide the senior and junior data scientists on your team.You will oversee project teams that configure Frontier for our customers by designing and building bespoke computational twins – our AI-powered digital twins. Maintaining ownership of the data science approach, you will own the technical vision for these complex deployments, partner directly with clients to shape strategy, and play a vital part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of Frontier deployments for clients, from initial discovery through to the build and productionisation of computational twins.Own the end-to-end data science approach, designing and implementing the optimal techniques – from EDA and classic machine learning to deep learning – to create high-performing computational twins within the Frontier platform.Partner with our commercial team and clients to build strong, lasting relationships, acting as a trusted technical advisor on how AI & Frontier can solve their most complex problems.Articulate intricate technical concepts, model design choices, and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking direct responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for the data scientists on your project teams, ensuring they are developing their skills in applied data science and on the Frontier platform.Contribute to sustaining our culture by creating an atmosphere of collaboration and setting a high standard for performance and technical excellence within the team.Technical Leadership:Establish a distinct and differentiated data science vision for building computational twins, driving best practices and innovative approaches for configuring the Frontier product.Partner with our commercial and product teams to ensure potential projects are appropriately scoped and resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements in AI, share these with others in the organisation, and identify how they can be incorporated into the Frontier product and our delivery workflows.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques (e.g., supervised/unsupervised machine learning, model cross-validation, Bayesian inference, time-series analysis).Strong Python programming skills and an excellent proficiency of the basic libraries for data science (e.g., NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch).You possess proven experience leading data science projects and making key decisions on technical direction, model selection, and architecture.You are an exceptional communicator, capable of building rapport with clients, translating complex business problems into a mathematical framework, and presenting technical solutions persuasively to senior audiences.You have a strategic, product-oriented mindset, with an ability to understand the core needs of users and connect them to the value delivered by a technical product like Frontier.You are passionate about developing people and have experience formally managing or mentoring other technical professionals.Commercial experience is essential, particularly if it involved client-facing work, project management, or consulting. You are motivated to work alongside our clients to ensure the successful delivery of innovative work to strict timelines.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!About the RoleWe're looking for a Data Scientist to build and scale Opus's data capabilities. This role sits at the crossroads of data engineering, applied data science, and product strategy. You'll lead high-impact projects across growth, CRM, customer experience, payments, web tracking, experimentation, and LLM-driven analytics—working closely with cross-functional partners to drive measurable business outcomes.This is a hands-on role: you'll define data vision, architectural systems, and roll up your sleeves to build pipelines, models, and advanced analyses that power Opus's growth.ResponsibilitiesData Engineering & InfrastructureDesign, implement, and maintain robust pipelines across multiple sources, including GCS, MongoDB, and third-party SaaS platforms.Ensure scalable ingestion, transformation, and governance of structured and unstructured data.Applied Data Science & AnalyticsLead advanced analyses across growth, CRM/CX, payment flows, and web tracking.Build marketing attribution models to measure ROI and optimize spend.Analyze user lifecycle and retention patterns, including churn risk, reactivation triggers, and CLV.Develop predictive models on user behavior to power personalization and recommendations.Create user segmentation and tagging frameworks to enable targeted engagement strategies.Evaluate CX metrics (NPS, CSAT, support efficiency) to inform product and ops improvements.Establish best practices in A/B testing and post-experiment evaluation.Prior experience in these areas is highly valued.Experimentation & InsightsPartner with product and business teams to design experiments and interpret results.Drive rigor in experiment design, metric selection, and causal inference.Leadership & StrategyDefine the data science roadmap / priority and align it with company goal.Mentor and grow a scrappy, high-performing team of data engineers and analysts.Act as a thought partner across GTM and BD initiatives, enabling data-driven decisions.RequirementsExperience3~5 years of experience in data-related roles, with a strong individual contributor (IC) backgroundProven track record of leading projects end-to-end in a fast-paced, high-ownership environment.EducationBachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related).Master's degree preferred, though not strictly required, if compensated by strong industry experience.Technical ExpertiseStrong proficiency in Python and SQL, with hands-on experience across the data lifecycle.Experience with the modern data stack (BigQuery, dbt, Superset, Statsig).Solid data engineering skills with cloud storage (e.g., GCS), NoSQL databases (e.g., MongoDB), and SaaS integrations.Familiarity with workflow orchestration (e.g., Airflow) to automate and manage pipelines.Mastery of working in notebooks (e.g., Jupyter, Databricks), comfortable digging into raw data repositories and producing reproducible analyses.Familiar with LLM and agent workflows, curious and eager to push the frontier.Strong end-to-end development skills: from data ingestion and cleaning through modeling, analysis, deployment, and monitoring.Analytical ExcellenceDeep experience in A/B testing, experimentation platforms, and post-experiment analysis.Strong statistical intuition with the ability to translate results into actionable insights.Domain ExperienceExposure to CRM/CX, payments, web tracking, and user data.Experience building data products that support BD and customer-facing use cases.Leadership & CollaborationAbility to balance hands-on execution with strategic leadership.Experience in fast-paced startup environments, collaborating with product, engineering, and GTM teams.Nice to HaveExperience with ML in production, including deployment and monitoring.Interest in building and experimenting with data-driven agents, including prototyping agentic workflows.Familiarity with reinforcement learning and experimentation frameworks, ideally with human-in-the-loop (HITL) evaluation.Working knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines for LLM-powered applications.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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Location 📍: Sydney, AU, Hybrid - 3 days a week in officeAbout Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We’re hiring for a Staff Software Engineer to join our mission-critical Enterprise team in Sydney. You will have high visibility and high autonomy to take ownership of complex projects for our large-scale customers, mentor other engineers, and make a meaningful impact on a category-defining product. At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Architect, build, and deliver Enterprise-grade features across the entire stack from elegant, performant frontends to scalable, reliable backend systems and cloud infrastructure.Take ownership of complex, mission-critical projects, delivering impactful features within your first month and guiding them from ideation to production.Push the boundaries of AI capabilities, designing and implementing cutting-edge solutions for our Enterprise customers.Play a pivotal role in shaping our engineering culture, processes, and how we work as we scale.Mentor and coach engineers of all levels, fostering a collaborative, high-performance environment and helping others grow their technical and professional skills.Set and uphold high standards for code quality, performance, and scalability, and ensure these standards are adopted across the team.Collaborate closely with product, design, and leadership to align technical direction with business goals and drive the company’s success.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWS What We’re Looking For 🧠6+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments and building products that service large Enterprise customers.Strong expertise in our tech stack or a proven ability to quickly master new technologies.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated customer-centric thinking, ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐Experience designing and building scalable and fault-tolerant systems for real-world users in enterprise environments.Strong understanding of large scale per-customer deployments (including on-premise and cloud).Knowledge of FGA/ RBAC access controls, AWS infrastructure, SSO/ OAuth systems, and platform analytics.Interview Process 💬Talent Interview (virtual)Hiring Manager Interview (virtual)Technical Interviews (onsite)Co-Founder Interview (virtual/ onsite)Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches💥 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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🌁 Location: San Francisco, in-person only 💰 Salary: $180.000 - $250,000 annual salary + 📈 Equity 💻 Languages/Frameworks: TypeScript, Next.js ✅ Skills: Building full-stack apps, expertise with complex web views that efficiently manage state between client and server, strong UI/UX sensibility👉 Who we areE2B is a fast growing Series A startup with 7-figure revenue. We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners. Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.👉 About the roleYour job will be to own and scale the E2B Dashboard — the application developers rely on to develop and monitor sandboxes, track usage metrics, and debug their infrastructure. You'll ship features quickly and make key product decisions with minimal oversight.You'll build enterprise-grade experiences that scale to 100k+ weekly active users. Responsibilities include:Shipping user-facing features end-to-end — from design decisions through deployment and monitoringOptimizing Next.js performance with multi-layer caching and response time improvementsEngaging directly with customers to transform their needs into technical solutionsBuilding real-time data experiences using WebSockets and SSE for sandbox logs and metricsMaking architectural decisions around observability, testing, and security best practicesThis role requires a high amount of ownership and ability to take projects from 0 to 1. You'll have deep autonomy to make product and technical decisions. If you see a better way to build something, you build it.👉 What we're looking for3-5+ years shipping production web applications with deep expertise in React, and TypeScriptAdvanced expertise with Next.js app router and knowledge of its latest features to optimize web performanceGreat taste on front-end decisions — you know when to prioritize polish vs speed and care deeply about developer experienceBack-end competence with modern stacks: comfortable with Supabase/PostgreSQL, API design, authentication/authorization, and server-side optimizationExcited to work in person from San Francisco on a devtool productOwnership mentality: you see projects through from conception to launch to iterationComfortable talking to customers and explaining technical tradeoffsNot being afraid to take ownership of the part of our productGreat communication, curiosity, and interest in the AI spaceIf you join E2B, you'll get a lot of freedom. We expect you to be proactive and take ownership. You'll be taking projects from 0 to 1 with the support of the rest of the team.

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CSQ127R55 As a Big Data Solutions Consultant (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority Knowledge transfer, enablement and mentoring of other team members, customers and partners, including developing reusable project artifacts Provide experience to the consulting team, provide best practices in client engagement to other teams What we look for: 4+ years experience in data engineering, data platforms & analytics Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) Comfort with object-oriented and functional programming in Scala and Python Experience in building scalable streaming and batch solutions using cloud-native components Strong knowledge of distributed computing with Apache Spark™ Travel to customers 30% of the time Nice to have: Databricks Certification About 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 Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place.Who You'll Work WithWith talent density as our main north star, we have assembled a founding team of exceptional individuals from Google AI, Notion, Dropbox, Slack, Databricks, McKinsey, and BCG, all on a mission to reshape how humans access and use knowledge.Our AI products are already trusted by pioneering global companies and have served over 1 million users worldwide. We are backed by $130M+ in funding from leading investors including NEA, Menlo Ventures, and EQT Ventures.We've been recognized as a LinkedIn Top Startup, earned Fast Company's 2024 Next Big Things in Tech for AI & Data award, and been named the Forbes AI 50 list of top business AI companies. Yet we're just beginning our journey to transform how organizations and humans harness knowledge. About the RoleOur GTM team has a unique mission: to help organizations realize the transformative value that Sana’s products can deliver across industries and geographies. This role blends commercial acumen, strategic vision, and a deep understanding of customer needs.We’re looking for entrepreneurial sales talent to help bring Sana to the world. As a GTM Manager (Account Executive), you will play a pivotal role in guiding opportunities through the entire sales journey—from uncovering new opportunities and shaping solutions, to closing impactful deals. You’ll collaborate closely with product, engineering, and strategy teams to ensure Sana’s offerings address the evolving challenges of the world’s leading enterprises. Through partnership and insight, you’ll enable customers to unlock new levels of performance and success with Sana. Sana is leading the way in an unprecedented time, with AI enabling change that will be more significant than the internet revolution. In this unprecedented moment, what we do one day can be obsolete the next. This requires extreme intuition, strategic minds, bold tradeoffs, and not least, grit. For the right person, it's equally challenging as it is rewarding, as we're doing something every day worth recounting to future generations. Who You AreKnowledge pioneer: You're passionate about transforming how people interact with and use knowledge to reach new heights of thinking.Growth-focused: Brings energy and dedication to exceed goals and inspire excellence in others.Excellence driven: You consistently deliver high-quality work at pace, setting and exceeding ambitious standards.Self-guided: You drive your own work, take initiative from day one, working autonomously while prioritizing learning and impact.Consultative seller: You love solving puzzles and thrive on understanding a customer’s business to find the right solution. Outbound closer: You’re proactive in identifying and engaging high-potential leads - bringing creativity and persistence to every step of the outreach process. What You Bring3+ years of experience in enterprise B2B sales in SaaS or emerging technologies and/ or strategy consulting, with a proven track record of surpassing targets in fast-paced environments.Ability to assess markets and uncover high-value opportunities, supported by proven implementation skills.Clear communication skills in English with experience connecting and building relationships with C-level executives.First-principles thinking and enthusiasm for finding solutions and bringing ideas into action with a “roll up your sleeves” mentality and bias for action.Collaborative spirit and ability to flourish in team settings.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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Location 📍: Sydney, AU, Hybrid - 3 days a week in officeAbout Us 🚀At Relevance AI, our mission is to empower anyone to delegate work to the AI workforce.We’re building a new type of automation platform, for anyone to create and use AI agents that can replicate human quality work, decision making and collaboration.We are scaling fast to meet unprecedented customer demand and we need exceptional talent to help us grow. If you’re ready to be part of a trailblazing company at the cutting edge of AI, this is the place for you.The Role 🥳We’re hiring for a Senior Software Engineer to join our mission-critical Enterprise team in Sydney. You will have high visibility and high autonomy to take ownership of complex projects for our large-scale customers, mentor other engineers, and make a meaningful impact on a category-defining product. At Relevance AI, your work will reach customers within hours, offering a rare opportunity to see the impact of your contributions in real-time. You’ll have autonomy and trust to lead key projects and mentor team members without being weighed down by unnecessary layers of approval.You’ll work across our modern modern tech stack, which we’re constantly optimising to move and iterate faster. Our supportive, fast-paced culture fosters collaboration, curiosity, and creativity, making it an environment where innovation thrives and where your ideas and expertise will be highly valued.Your Impact 💥Architect, build, and deliver Enterprise-grade features across the entire stack from elegant, performant frontends to scalable, reliable backend systems and cloud infrastructure.Take ownership of complex, mission-critical projects, delivering impactful features within your first month and guiding them from ideation to production.Push the boundaries of AI capabilities, designing and implementing cutting-edge solutions for our Enterprise customers.Play a pivotal role in shaping our engineering culture, processes, and how we work as we scale.Mentor and coach engineers of all levels, fostering a collaborative, high-performance environment and helping others grow their technical and professional skills.Set and uphold high standards for code quality, performance, and scalability, and ensure these standards are adopted across the team.Collaborate closely with product, design, and leadership to align technical direction with business goals and drive the company’s success.Our Tech Stack (so far) 💻We leverage a modern, scalable, and developer-friendly technology stack to build robust web applications:Frontend: Vue.js, Nuxt, TypescriptBackend: Express.js, Node.js, TypescriptDatabase: MongoDB, PostgreSQLCloud & Deployment: Vercel, AWS What We’re Looking For 🧠4+ years of hands-on software engineering experience, ideally within fast-paced, high-growth tech environments and building products that service large Enterprise customers.Strong expertise in our tech stack or a proven ability to quickly master new technologies.Thrive in dynamic, high-performance start up settings and comfortable with ambiguity, rapid iteration, and taking initiative.Demonstrated customer-centric thinking, ability to take full ownership of projects, solve complex problems, and consistently deliver high-quality, impactful results.Deep interest in artificial intelligence and excitement to build innovative, category-defining products.Regularly leverage AI tools and technologies in your workflow, and stay up-to-date with the latest advancements to boost productivity and innovation.Bonus Points if You Have Any Of The Following ⭐Experience designing and building scalable and fault-tolerant systems for real-world users in enterprise environments.Strong understanding of large scale per-customer deployments (including on-premise and cloud).Knowledge of FGA/ RBAC access controls, AWS infrastructure, SSO/ OAuth systems, and platform analytics.Interview Process 💬Talent Interview (virtual)Hiring Manager Interview (virtual)Technical Interviews (onsite)Co-Founder Interview (virtual/ onsite)Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterating extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🌴 4 Weeks Annual Leave – Take time to recharge with 20 days of paid vacation📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍱 Team Meals – Enjoy free Friday lunches, Uber Eats dinners, and regular catered office lunches💥 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. A few clubs we already have are hiking, chess, and board game nights. We also have a social committee you can join—new ideas are always welcome!🍿 Snacks & Drinks Galore – Stay energised with a wide selection of snacks and a fully stocked fridge of drinks in the office🌐 Community Events – As the home of the AI workforce, we regularly host events featuring thought leaders, industry partners, and the wider community—right at our office, so you can join straight after work🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Program

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Prime Intellect is building the open superintelligence stack - from frontier agentic models to the infra that enables anyone to create, train, and deploy them. We aggregate and orchestrate global compute into a single control plane and pair it with the full rl post-training stack: environments, secure sandboxes, verifiable evals, and our async RL trainer. We enable researchers, startups and enterprises to run end-to-end reinforcement learning at frontier scale, adapting models to real tools, workflows, and deployment contexts.We aggregate global GPU and XPU resources, enabling researchers and developers to collaboratively train state-of-the-art models using distributed training. As a founding member of our Go-To-Market (GTM) team, you’ll be at the forefront of shaping our sales and marketing strategies to secure partnerships, expand our GPU marketplace, and grow a long-term client base.Your RoleAs a key leader, you’ll drive revenue growth and foster partnerships that position Prime Intellect as a trusted compute partner for companies scaling their resources or developing next-gen LLMs and multimodal models. You'll architect and execute Prime Intellect's comprehensive revenue strategy, focusing on building our sales infrastructure while driving revenue through enterprise and mid-market compute partnerships. You'll be responsible for establishing our sales architecture, developing multi-channel sales motions, and implementing revenue operations systems that enable data-driven growth.ResponsibilitiesIdentify and nurture high-value leads through targeted prospecting and inbound/outbound strategies.Develop and execute GTM strategies to launch and scale our decentralized training platform in key U.S. and European markets.Build strategic partnerships with industry leaders, including cloud providers and AI tool developers, to expand our ecosystem.Refine and communicate our unique value proposition to diverse audiences, from technical teams to business leaders.Lead the creation of compelling sales and marketing materials such as case studies, white papers, and customer success stories.Collaborate closely with marketing and engineering teams to align product features with market needs and feedback.Drive comprehensive revenue strategy targeting upper-mid market and enterprise clients ($100k+ ACV), while maintaining efficient velocity for smaller deals ($10k-$100k)Build and execute Prime Intellect's complete sales playbook, including methodologies, processes, and best practicesDesign and launch a hybrid SDR program incorporating in-house teams, third-party partners, and AI agent capabilitiesImplement sales technology stack and CRM architecture to enable data-driven decision makingBuild sales enablement infrastructure including training programs, content libraries, and analytics systemsPlan and execute strategic events for prospect engagement and customer relationship buildingDevelop and manage strategic partnerships to expand market reachCreate and optimize deal cycles from prospect to close through data-driven insightsWhat We’re Looking ForProven experience leading GTM strategies for AI/ML products, with a deep understanding of the competitive landscape.Expertise in translating complex technical concepts into clear, impactful messaging for both technical and non-technical audiences.A track record of building and nurturing partnerships that drive growth and adoption within the AI/ML ecosystem.Strong communication and leadership skills, with demonstrated success in aligning teams to execute strategic initiatives.Familiarity with tools like LinkedIn, HubSpot, and industry-standard AI/ML tools and platforms.Deep understanding of sales technology stacks and revenue operationsStrong analytical mindset with experience in sales performance optimization and forecastingExperience in building customer success frameworks and measuring customer value metricsBenefits & PerksCompetitive compensation, including equity incentives, aligning your success with the growth and impact of Prime Intellect.Flexible work arrangements, with the option to work remotely or in-person at our offices in San Francisco.Visa sponsorship and relocation assistance for international candidates.Quarterly team off-sites, hackathons, conferences and learning opportunities.Opportunity to work with a talented, hard-working and mission-driven team, united by a shared passion for leveraging technology to accelerate science and AI.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.If you're excited about the opportunity to build the foundation for the future of decentralized AI and create a platform that empowers developers and researchers to push the boundaries of what's possible, we'd love to hear from you.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. About the RoleOur Solutions Engineering team plays a pivotal role in bridging the gap between our product development and client-facing teams for our latest product, Sana AI. The team prides itself on its adaptability, entrepreneurial spirit, and relentless pursuit of excellence. Many team members have joined from previous workplaces like Google AI, Spotify, BCG, and McKinsey.It’s an exciting time to be working with AI, especially at Sana. Our goal is to build an AI assistant for work with infinite capabilities—one that can process any amount of information, answer any question, assist with all knowledge work, and ultimately solve difficult problems autonomously. This means you’ll get to work with state-of-the-art LLMs, and be on the frontlines of operationalizing the potential of AI within some of the most pioneering companies around the globe.As the Sana AI's footprint expands through an increasing client based and users, your role will likely evolve to include the coaching and onboarding of additional solution engineers, as well as the scaling the designed and implemented solution, and the creation and the iterations on the playbooks required to make the Sana AI solutions succeed at scale.What you’ll doProvide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly and accurately.Engage directly with clients, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge.Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams.Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively.Identify and implement process improvements to enhance the efficiency of the sales and deployment processes.What will help you thriveA strong technical background with experience in software engineering, systems engineering, or a related field.Proven experience in a client-facing technical role, preferably within the tech industry.Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively.Strong verbal and written communication skills and can explain technical concepts to non-technical stakeholders.Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams.A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About the Role As an Applied AI, Prototyping & Automations Engineer, you’ll be at the heart of Mistral AI’s internal innovation. You’ll design, build, and deploy AI-powered applications and automation systems that enhance our products and streamline internal workflows. This role is for builders, hackers, and problem-solvers who want to bridge the gap between AI research, engineering, and real-world impact, who like interacting daily with product users. In this role, you’ll manage daily relations involving multiple stakeholders (corporate, research, product, business, HR) from all around the world. What You’ll Do - Design, develop, and maintain scalable web applications and internal tools using- Design and implement automated workflows, internal tools, and AI-driven processes to improve efficiency and reduce manual effort.- Build and integrate AI models (LLMs, RAG, agents) into full-stack applications, ensuring they are performant, scalable, and user-friendly.- Work closely with AI researchers, product teams, corporate teams and customers to translate users requirements into technical solutions.- Contribute to open-source projects and internal tooling to enhance Mistral’s AI platform. About You- You are fluent in English.- You have between 0-5y of experience- You have experience with LLMs, fine-tuning, RAG, or agentic systems (e.g., LangChain, Hugging Face, Mistral models)- You are proficient in Python- You are proficient in TypeScript, React/NextJS, NodeJS, and modern web frameworks.- You’re expert workflow automation tools (e.g., Zapier, n8n, Power Automate) and cloud platforms (AWS, GCP)- You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences- You have a problem-solving mindset and can tackle ambiguous challenges to deliver robust, scalable solutions.- You have strong collaboration skills and can explain technical concepts clearly to both technical and non-technical stakeholders.- You have a passion for innovation, exploring new technologies, and improving existing systems.

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:We are seeking an experienced Commercial Counsel to join our team. In this high-visibility role, you will be a key contributor to our legal strategy and operations, collaborating closely with commercial teams and senior leaders to advance our mission. Your guidance will be essential as we navigate complex legal challenges, providing critical expertise that fosters innovation and growth while upholding the highest standards of compliance and ethics.Your legal insights will help accelerate the deployment of innovative products, strengthen collaboration with physicians, and reinforce important partnerships. Additionally, you will play a central role in protecting our relationships with healthcare partners, safeguarding our intellectual property, and building lasting trust with physicians, executive leaders, and other key stakeholders.What You'll be Doing:Collaborate with the sales team to develop efficient processes that accelerate deal closures while maintaining rigorous legal standards.Negotiate commercial contracts to enable the delivery of our AI solutions to healthcare providers globally.Design and implement a comprehensive privacy program ensuring full compliance with HIPAA and all Business Associate Agreements (BAAs), safeguarding sensitive medical data in partnership with our security and product teams.Serve as a trusted counsel across product, engineering, and model teams, providing strategic legal support for AI research and model development projects.Build scalable legal processes, tools, and infrastructure—including internal documentation and a modern legal tech stack—to support the company’s rapid growth.Monitor emerging legal and policy trends in the generative AI landscape to ensure Rad AI remains at the forefront of regulatory compliance and innovation.Who We’re Looking For:Minimum of 5 years of legal experience, with at least 2 years focused on negotiating commercial contracts—ideally within a B2B SaaS environment.Juris Doctor (JD) from an ABA-accredited institution and active membership in at least one U.S. state bar.Background in healthcare technology or artificial intelligence, demonstrating a deep understanding of the distinctive legal challenges these sectors present.Proven ability to navigate ambiguity and shape legal strategies within emerging fields.Strong track record of building and maintaining cross-functional relationships, with adaptable communication styles that strike the right balance between business risk-taking and safeguarding organizational interests.Demonstrated ability to proactively identify and pursue opportunities for professional development and to contribute to new initiatives as Rad AI continues to expand—taking on challenging projects and adapting to evolving business needs.Nice to Haves:Knowledge of the healthcare industry and AI technology.Previous experience working in a high-growth startup environment.Passion for healthcare and/or mission-driven technology is a strong plus.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. About the roleWe believe that everything starts with learning. And that by changing the way the world learns, we can change the world for the better. If that’s a mission that excites you, you’ll be in great company at Sana. Join our Stockholm team as an Engagement Manager and work alongside a team of highly motivated people from previous workplaces such as Google AI, Spotify, BCG, and McKinsey. Our Impact team is known for its adaptability, entrepreneurial spirit, and relentless pursuit of excellence, embodying our core belief that learning is the foundation of all meaningful change.In the Impact team, we work very closely with the companies who choose Sana. Together we problem solve, design solutions and implement them to drive change. Ultimately we measure ourselves through the impact we achieve through rolling out and adopting Sana. Our challenges are to continually learn and adapt to meet the unique needs of each company and team, and implement the creative solutions that make us proud of what we have achieved. While doing so we define what the future Sana's customer success, solution engineering and deployments teams will look like. By scaling this team, we create a significant impact on how people learn, across every industry, and across the globe.What will help you thriveAre naturally curious, always seeking to learn, and view every challenge as a growth opportunity.Possess grit and determination, allowing you to weather setbacks and persist towards your goals.Are driven by excellence, striving for greatness in everything you do. Embody humbleness, always ready to learn from others and unafraid to admit when you're wrong. Are deeply committed to our mission of changing the way the world learns, and have a genuine passion for global business development. Possess an entrepreneurial spirit, with the mindset of a founder and the readiness to build our customer success team. Are impact-driven, motivated to make a difference and continuously push the limits of what's possible. What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role OverviewThis is not your typical product manager role.As a Product Strategist at Gecko, you won’t be handed a roadmap—you’ll be building it. You’ll operate at the frontier of customer need and product possibility: developing new solutions for high-stakes environments while shaping the direction of our core software platform, Cantilever.We’re looking for strategic builders—technical product minds with a bias toward action and a deep sense of ownership. You’ll be embedded in the field with our customers and engineers, making bets, validating hypotheses, and helping Gecko scale from bespoke deployments to a robust, extensible platform.This is a rare opportunity to shape product strategy from the ground up, working at the heart of one of the world’s most ambitious efforts to modernize critical infrastructure.What You Will DoOwn Problems, Not Just Features: Identify high-leverage customer problems and lead the charge to solve them—start to finish.Set Strategy, Not Just Priorities: Craft and test product theses that inform Gecko’s long-term platform evolution.Champion User Experience: Incorporate UI/UX insights into product direction to ensure solutions are not only technically sound but also intuitive and impactful for end users.Build What Scales: Deliver immediate value to customers while extracting insights that shape scalable, repeatable product solutions.Operate Close to the Field: Work alongside Forward Deployed Engineers to understand use cases in depth—and move quickly to unlock value.Bridge Product and Business: Translate technical solutions into outcomes that matter for customers and for Gecko’s mission.Navigate Ambiguity: Thrive in environments without a playbook. You’ll help write it.About You4-7 years of experience in technical product management, preferably in an enterprise software, B2B SaaS, or platform environment.Backgrounds in product strategy, consulting, engineering, or founder/operator roles tend to thrive in this position.Strong systems thinking—you can break down messy problems, spot the patterns, and architect elegant solutions.You’re comfortable in the field—on-site with users, in the weeds with engineers, or in the boardroom with stakeholders.Able to operate autonomously, make high-quality decisions with imperfect info, and adapt quickly as reality changes.Comfortable with data—whether it’s Excel, SQL, or something custom.Motivated by real-world impact and mission-driven work.Bonus Points If You HaveBackground in infrastructure, energy, defense, or robotics.Experience launching 0→1 products or building within ambiguous, complex domains.An engineering background or the ability to write code—enough to engage deeply with technical teams and shape product direction with confidenceHands-on collaboration experience with designers or exposure to UI/UX research practices.Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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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. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. About Anthropic Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis. 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:€165.000—€215.000 EURLogistics 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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RYZ Labs is seeking a Full Stack Engineer  to work with one of our partners; a start up dedicated to improve the healthcare experience for patients by providing personalized assistance through healthcare advocates. What you’ll do: - Design, build, and launch the patient and advocate-facing apps, backend services, and integrations.- Move fast — prioritize shipping value while managing technical debt intentionally. - Leverage LLMs, APIs, and custom models to automate intake, triage, and follow-up.- Integrate AI into the daily tools advocates use, from summarization to proactive care nudges. - Translate ambiguous product needs into clear, buildable solutions. - Decide what to build in-house vs. integrate via third-party APIs. - Work with clinical, ops, and growth leads to ensure product solves real user problems.- Join early customer calls to see pain points firsthand. What we are looking for: - Have 8**+ years full-stack experience** (e.g., Ruby on Rails, Python/Django, Elixir/Phoenix, or similar backends + React/Next.js or similar frontends).- Have shipped production code in healthcare or another regulated industry.- Are fluent in AI development — prompt engineering, fine-tuning, API integration, vector databases, RAG pipelines.- Can design secure, HIPAA-compliant systems.- Have experience with RESTful APIs, relational databases, and cloud hosting (AWS, GCP, or PaaS like Aptible/Fly.io).- Are 80%+ hands-on coding in your current role and want to stay that way.- Thrive in startup chaos and want a seat at the table in technical + product decisions.- Experience with AI at other startups, strong Django and Python skills and experience working directly with EHRs, claims systems, or care coordination tools is a Plus. Our values and what to expect: - Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done most efficiently. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:Rad AI’s engineering team is growing quickly for our award-winning product. We are seeking a world-class Engineering Manager to scale our team and drive strategy and execution. As an Engineering Manager, you’ll be responsible for delivering on our product roadmap, partnering cross-functionally across engineering, product, and other organizations, and leading an engineering team where you’ll be responsible for mentorship, career development, and performance management.Our team moves fast and ships code to production continuously and will rely on our engineering leadership success to increase productivity by removing obstacles and keeping processes lean.What You'll Be Doing:Report into our Director of Engineering to manage a team of software engineers at a variety of levelsCross-functionally partner with other groups, including platform engineering, machine learning, product management to advance product features.Bring clarity to ambiguous situations, ensuring feature development aligns with long-term KPI improvements.Invest in individual growth, enabling your team to deliver with quality and confidence.Collaborate with senior leadership to chart out a strategic direction based on vital business metrics.Prioritize clear, constructive feedback, ensuring everyone on the team is aligned and empowered.Who We're Looking For:7+ years of engineering experience with a minimum of 2+ years of engineering management experience.Experience leading cross-functional product engineering teams focused on shipping with quality.Ability to understand KPI and business metrics, as well as the ability to identify and scope product feature work to maximize the business impact.Previous experience in performance management, including the ability to mentor and guide the professional and technical development of your team members.A bias to take action, and an ability to use best available data to justify your actions and opinions and make decisions that move the business forward.Expertise in growing teams, and previous experience recruiting engineers of multiple disciplines while ensuring a successful, supportive onboarding experience.Ability to plan ahead for potential obstacles, communicate areas of risk, and provide clear directives. Anticipate potential obstacles and plan accordingly.Have a philosophy of valuing each team member and understanding individual strengths and areas for growth.Nice to Haves:Experience in a healthcare startup or radiology-focused organization.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-aiFor US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. The Opportunity As a Data Scientist at Otter.ai, you will be a key player within our Product and Go-to-Market teams. You will leverage your advanced data analytics skills and deep understanding of our products and market to drive strategic decision-making, optimize engagement and monetization strategies, and accelerate product adoption. Your work will significantly enhance customer experiences and contribute to our business success. If you are passionate about using data to drive business growth and want to be part of a team shaping the future of conversations, we invite you to apply and help us achieve our mission of Making Conversations More Valuable. Your Impact Collaborate with Product and Go-to-Market teams to understand business objectives and challenges, translating them into data-driven insights and recommendations. Develop and Implement predictive models, analytical tools, and methodologies to analyze product usage, sales trends, customer behaviors, and market dynamics. Analyze large datasets to generate actionable insights that guide the development and optimization of engagement and monetization strategies. Design and Execute experiments to test hypotheses and measure the effectiveness of various product experiences, sales tactics, marketing campaigns, and business strategies. Partner with cross-functional teams, including Product Management and Engineering, to integrate data-driven insights into our products and services, driving continuous improvement and innovation. Present findings and recommendations to key stakeholders, including executives, to inform strategic decision-making and shape the company’s Product and Go-to-Market strategies. Collaborate with Data Engineers to ensure data quality, accessibility, and reliability for analysis purposes. Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI to drive innovation and competitiveness. We're looking for someone who 3+ years as a Data Scientist or similar role, preferably in a technology or AI-driven company. Proficiency in SQL for querying large datasets, and expertise in Python and R for data manipulation, analysis, and visualization. Strong background in data analysis, statistical modeling, and other data science techniques. Familiarity with B2B go-to-market business models. Excellent ability to translate complex findings into actionable insights for non-technical stakeholders. Proven ability to work effectively in cross-functional teams and manage multiple projects simultaneously. Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic start-up environment. Salary range Salary Range: $155,000 to $210,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.

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About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the roleRay aims to provide a universal API for building distributed applications. To achieve this goal requires a distributed system with high levels of performance and reliability. We're looking for engineers with systems software experience that are interested in contributing to the Ray backend. About the Ray Core TeamThe Ray Core team develops and maintains the Ray C++ backend (e.g., distributed scheduler, language runtime integration, I/O and memory subsystems). We are responsible for the reliability, scalability, and performance of Ray as well as ensuring that Ray provides the right feature set to support higher level libraries and use cases. The team works on a balance of new features / distributed libraries, test infra improvements, debugging, and longer-term architectural improvements to Ray. A snapshot of projects you can work on:- Optimizing performance of large-scale workloads on Ray- Stability and stress testing infrastructure- Improving fault tolerance (HA)As part of this role, you will:Develop high quality open source software to simplify distributed programming (Ray)Identify, implement, and evaluate architectural improvements to Ray coreImprove the testing process for Ray to make releases as smooth as possibleCommunicate your work to a broader audience through talks, tutorials, and blog postsWe'd love to hear from you if have:At least 2 year of relevant work experienceSolid background in algorithms, data structures, system designExperience in building scalable and fault-tolerant distributed systemsKnowledge of distributed model training and inference (e.g. tensor parallel, pipeline parallel) is preferredKnowledge of GPU programming is preferredAnyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.  Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish