AI Product & Operation Jobs

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re looking for an AI Researcher to join our core AI team and help push the frontier of multimodal conversational intelligence. If you thrive in fast-paced environments, love turning abstract ideas into running code, and get energy from exploring the edge of what’s possible then this is the perfect role for you.Your Mission 🚀Conduct research on Foundational Multimodal Models in the context of Conversational Avatars (e.g., Neural Avatars, Talking-Heads).Model video, audio, and language sequences using Autoregressive, Predictive Architectures (e.g., V-JEPA), and/or Diffusion paradigms with an emphasis on temporal and sequential data rather than static images.Collaborate with the Applied ML team to bring your work to life in production systems.Stay at the cutting edge of multimodal learning and help us define what “cutting edge” means next.You’ll Be Great At This If You Have:A PhD (or near completion) in a relevant field, or equivalent hands-on research experience.Experience modeling human behavior and generation (facial expressions, affect, or speech). Ideally in conversational or interactive settings.Deep understanding of sequence modeling in video/audio/language domains.Familiarity with large model training, especially LLMs or VLMs.Strong background in Deep Learning (from Transformers to Diffusion Models) and how to make them work in practice.Excellent programming skills, especially in PyTorch.Nice-to-HavesPublications in top-tier conferences like CVPR, ICCV, NeurIPS, ECCV, or ACMMM.Broader understanding of generative AI and multimodal architectures.Familiarity with software engineering best practices.Curiosity and a flexible mindset — you like building and experimenting.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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About SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleVision understanding is a critical addition to conversational AI, bridging the gap between speech and the physical world. We’re looking for a skilled engineer or researcher to build high-value synthetic data pipelines that accelerate vision model development. The ideal candidate will be fluent in classical computer vision techniques while also comfortable leveraging modern machine learning tools across the stack: from neural rendering and diffusion-based image synthesis to transfer learning, domain adaptation, and data-centric evaluation. You’ll collaborate with research, hardware, and product teams to build capture, generation, and rendering systems that combine physical accuracy with visual realism—delivering datasets and simulators that measurably improve downstream computer vision tasks.Responsibilities:Build and maintain synthetic data generation pipelines (e.g., neural rendering, diffusion/score-based models, controllable generative priors, procedural assets) with levers for pose, expression, illumination, materials, and sensor characteristics.Apply transfer learning and domain adaptation (self-supervised pretraining, style/appearance transfer, sim-to-real) to bridge distribution gaps between synthetic and real data.Integrate off-the-shelf and open-source components where practical; fine-tune or distill models to meet latency, memory, and quality targets on target hardware.Stand up end-to-end systems—from capture and calibration to generation, data curation, quality gates, rendering/evaluation suites, and deployment.Define dataset and model evaluation frameworks (coverage, bias, sim-to-real gap, task-level KPIs such as gaze error) and iterate based on quantitative results.Survey literature across graphics, vision, and generative ML; prototype, adapt, and, where needed, invent new approaches that push facial reconstruction, appearance modeling, and synthetic data quality forward.Required Qualifications:Demonstrated experience with 3D reconstruction, photorealistic rendering, appearance modeling, or synthetic data generation for vision tasks.Ability to navigate and deliver results in high-ambiguity, open-ended problem spaces.Familiarity with large-scale, multi-camera datasets and the practicalities of curation, annotation, and evaluation.Excellent communication skills and the ability to work collaboratively across disciplines.Bachelor’s degree or higher in computer graphics, vision, imaging, machine learning, or a related field.Preferred Qualifications:Master’s or Ph.D. in a relevant disciplineHands-on experience training or adapting neural rendering models (e.g., NeRF/3DGS variants, relighting, inverse rendering) and modern generative models (e.g., diffusion/latent diffusion, controllable text-to-image/video, inpainting/outpainting).Proficiency in PyTorch, JAX, or other modern ML frameworks.Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.Full-time Employee Benefits: 401k matching100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers

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Location 📍: San Francisco, United States (Hybrid - 3 Days In Office)About 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 are open to individuals across varied experience levels in pre/ post-sales roles, this role will be a mix of post and pre sales. As an AI Agent Solutions Engineer at Relevance AI, your role will be critical in helping our Enterprise customers leverage AI agents to solve core business problems. Using our low-code/ no-code platform, you will get the opportunity to co-design, architect and develop production-grade AI agents at Enterprise scale. You will also be an evangelist and enabler of our technology, driving technical success and product adoption. This is an exciting opportunity for someone passionate about agentic AI, creative problem-solving, and working directly with customers to transform their businesses with intelligent automation.This role is part of our continuous growth. We practice always-on hiring as we scale the Solutions Engineering team, and we regularly add exceptional talent to join our expanding team.Your impact💥Your work will involve both engineering excellence and close customer collaboration, bridging product strategy with real-world impact. Key responsibilities include:Engaging with customer stakeholders. technical and executive. to identify high-impact automation opportunities and guide AI agent adoption across pre- and post-sales phases.Delivering compelling, tailored presentations and demonstrations that showcase the business value and operational impact of AI agents.Conducting in-depth discovery sessions to assess and understand customer requirements as well as their deepest pain points.Designing and developing tailored AI agents that solve real business problems, ensuring operational fit, scalability, and measurable value.Lead customer enablement through hands-on training, onboarding, and ongoing support to drive self-sufficiency on the Relevance AI platform.Act as a strategic partner, influencing product direction through customer insights while identifying opportunities for deeper integration and growth.What We’re Looking For 🧠Highly accomplished experience in solutions engineering/ architecture, technical consulting, forward-deployed engineering or similar roles at the intersection between customers and product.Engineering mindset and strong technical foundations. You will need to be comfortable working with APIs. Experience with Python/ Gen AI/ LLMs is highly valued.Ability to translate business needs into technical solutions and communicate complex concepts to non-technical stakeholders.Experience building demo environments and productionising use-cases on low-code SaaS platforms and/or AI solutions. Proven customer-facing skills with a track record of driving technical value and success with Enterprise customers in fast paced environments.Passion for AI and its real-world applications, with a customer-first mindset and a drive for continuous learning.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, iterate extremely fast, and building memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, 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 ✨🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most📈 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🎉 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 ProgramWork Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners. Be part of shaping a future where humans and machines truly understand each other.The RoleWe're hiring a Senior Product Engineer to be a technical driver on the Tavus Platform.This isn’t your first rodeo. You’ve built from 0→1 before, you have strong opinions about architecture and design, and you know how to ship polished, high-performing web experiences. You’ll work closely with design, product, and engineering leadership to build intuitive and beautiful experiences, fast.You’ll spend roughly 70% of your time on the frontend, crafting elegant, performant user interfaces, and 30% on the backend, wiring up APIs, integrations, and systems that make the magic happen. You’ll be an early technical voice helping shape not just what we build, but how we build from architecture decisions to our culture of speed and quality.If you thrive in environments where ownership is real, ambiguity is high, and shipping fast is the norm then you’ll feel right at home here.Your MissionJump into our existing React codebase and own the development and delivery of platform features, from ideation to launch while upholding a high UX bar. You’ll work closely across many team (design, research, etc) to shape the product direction. We move fast and keep our layers thin so you’ll have an outsized voice in deciding what we build, how we prioritize, and how users experience the platform.Contribute across the full product stack as needed to ensure seamless product continuityRequirementsYou've worked on multiple consumer-facing products, ideally from scratch You care deeply about design and user experience - you have strong taste and the confidence to defend it You bring a senior mindset: you set direction, own decisions, and gets things over the finish line. Shipping is a skilled and you've honed it You thrive in startup environments where you can be autonomous, opinionated, and fast-moving You communicate the complex with incredible clarity and leverage your communication abilities to teach othersNice-to-HavesExposure to LLMs, video, or AI/ML-powered products Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.To learn more about our team culture and benefits, check out our hiring page.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 500+ customers in 50+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a Staff Product Manager with a strong technical foundation and the ability to own and solve complex product and commercial challenges end-to-end. We have incredible product-market fit & demand across diverse customer profiles. As an early and critical member of our product team, you’ll work closely with founders, executives, and engineering leaders to define and deliver on transformative opportunities for Harvey’s growth and impact.What You'll DoLead the end-to-end product lifecycle, from ideation and strategy to execution and launch, for high-priority initiatives.Solve cutting-edge AI product and engineering challenges, including user experiences for multi-step, high-complexity agents and real-time retrieval over terabyte-scale datasets.Collaborate with strategic customers to deeply understand their needs, gather feedback, and define solutions that exceed expectations.Drive innovation in business models, pricing strategies, and commercial standards to scale Harvey’s market presence.Partner with founders, executives, and legal research teams to align product direction with business priorities and technical feasibility.Build a deep understanding of how to make LLMs effective for complex, knowledge-intensive work, becoming a domain expert along the way.Play a key role in scaling the product and engineering organization, influencing team culture, processes, and long-term goals.Shape the future of multiple $T+ industries, disrupting the status quo through world-class enterprise solutions.What You Have5-10 years of experience in product management or software engineering, with a proven track record of leading strategic, high-stakes initiatives.Degree or relevant experience in CS or EngineeringExperience with or knowledge of AI and LLMsExperience in a B2B / commercial environmentDemonstrated ability to ship world-class enterprise software productsBig picture thinking while still delivering on the detailsAbility to use both qualitative and quantitative reasoning to communicate your ideas reasoningAbility to navigate extreme ambiguity to deliver on outcomesDesire to do whatever it takes to make the team successful — whether that’s doing support, testing new algorithm changes, or cleaning up ticketsBonus PointsEarly employee at a hyper-growth startupExperience at world-class enterprise product orgs (ex: Brex, Ramp, Stripe, Palantir)Compensation Range$220,000 - $260,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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As Scale AI continues its historic growth trajectory in the Generative AI sector, we are seeking a Growth Program Manager to helm initiatives that will significantly drive revenue and expansion. This demanding and multi-faceted role requires a unique blend of skills across strategy, operations, and analytics with the aim to catalyze rapid growth in a dynamic and evolving market. You will: Drive critical growth projects, collaborating with cross-functional teams including Engineering, Operations, and Go-to-Market. Develop and enhance growth strategies, funnels and pipelines to meet the needs of strategic customers and market demands. Oversee the growth operations, ensuring seamless execution and alignment with business objectives. Tackle some of the most pressing growth challenges, setting new standards for Scale AI's market presence in domain language. Ideally you'd have: 3-5 years of experience on growth, product, or operations, or as a SWE.  Prior experience with operations-heavy business models (e.g. on-demand, marketplace, logistics, supply chain) Strong technical background (a degree in STEM is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python). Excellent problem-solving capabilities and a robust analytical approach, with the ability to leverage data to inform growth strategies (experience working on operational challenges or as a consultant is a plus). An entrepreneurial and high-ownership mindset. You are comfortable handling ambiguity and leading workstreams from end-to-end This role is critical in ensuring that Scale AI not only maintains its current growth momentum but also accelerates it to capture an even larger market share in the Generative AI space. The ideal candidate will bring a wealth of experience, a deep understanding of growth mechanisms, and a track record of delivering results in high-stakes environments.Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$112,000—$140,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit  Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals. You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes. Timeline: This opportunity is for Spring & Summer 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred). Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations—however, we will also consider remote candidates (US based only). What You’ll Do Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models. Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques. Partner with our MLOps and platform teams to help build and improve our ML pipelines. Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs. What You Bring  Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning. Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow). A solid grasp of the fundamentals of machine learning and/or computer vision. Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment. A passion for our mission to improve patient outcomes. [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products. We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for! We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

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Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our 3.0, Canvas and Character blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About the roleAs a Machine Learning Researcher, you will push the frontier of what’s possible with AI and build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What we're looking forPhD or Master’s degree in Computer Science or equivalent industry experience5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box useTrack record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)Experience communicating complex research to peersSolid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systemsNice to haveExperience in low-level machine learning optimization, such as writing CUDA kernel codeFounding Team Our founding team consists of world-renowned AI experts including Mohammad Norouzi, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, CMU, and the University of Toronto. Our fundamental work in generative media includes Imagen and Imagen Video: Google’s text-to-image and text-to-video systems.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

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Ideogram is on a mission to make professional-quality design accessible to everyone. We’re building an AI-native application that helps creative individuals and teams produce high-quality content faster and at a lower cost. We are pushing the boundaries of what’s possible with AI, with a focus on creativity and a high standard for trust and safety. Our headquarters is in downtown Toronto, and we have a growing presence in NYC. Read our 3.0, Canvas and Character blog posts, and try our product at ideogram.ai to get a glimpse of what we're building.About the roleAs a Machine Learning Engineer, you will build and deploy state of the art machine learning models at scale. You will work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy with highly complex challenges. You will work directly with some of the best machine learning experts in the world, who have an exceptional track record of setting the vision and executing generative AI projects.What we're looking for5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlowExperience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratchTrack record in machine learning innovation and familiarity with Deep Learning and advanced Machine LearningEnd-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AIAbility to debug machine learning models to iteratively improve model quality and performanceNice to have: Familiarity with kubernetes and dockerOptional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel codeFounding Team Our founding team consists of world-renowned AI experts including Mohammad Norouzi, William Chan, and Chitwan Saharia. This team has previously led transformative AI projects at Google Brain, CMU, and the University of Toronto. Our fundamental work in generative media includes Imagen and Imagen Video: Google’s text-to-image and text-to-video systems.Company CultureWe're a single flat team that transcends engineering, research, product, and operation roles. Everyone is willing to do whatever is necessary to make our company and customers successful. We believe that a small, dedicated team with a collaborative culture can move faster and build better and more coherent products than large hierarchical organizations. At Ideogram, we provide mentorship and support to help our employees grow with the company and achieve their ambitious career goals.Ideogram is committed to welcoming everyone, regardless of gender identity, orientation, or expression. Our mission is to remove exclusivity and barriers and encourage new thinking and perceptions, in a space of belonging. It is not about race, gender, or age, it is about the people.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild the core software systems and tools that power our research, training, and production environments.Design and implement reliable, scalable, and secure services to support model development, deployment, and evaluation.Develop APIs, SDKs, and internal platforms that enable rapid experimentation and high-velocity iteration.Drive engineering excellence and create the foundation for our next generation of AI models.Provide the foundational layers that unify data, compute, and workflow management across model development.About YouStrong software engineering background with experience shipping production-grade systems.Experience designing APIs, services, or developer platforms that handle large-scale data or compute.Comfortable navigating complex codebases, debugging hard problems, and optimizing for reliability and speed.Thrive in a high-agency, fast-paced startup environment; bias toward action and impact.Excited about zero to one challenges, building new systems rather than maintaining legacy ones.Collaborative, clear communicator, and comfortable working across research and infra boundaries.Motivated by creating the software backbone for the world’s most capable open-weight AI systems.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleDesign, build, and operate Reflection’s large-scale GPU infrastructure powering pre-training, post-training, and inference.Develop reliable, high-performance systems for scheduling, orchestration, and observability across thousands of GPUs.Optimize cluster utilization, throughput, and cost efficiency while maintaining reliability at scale.Build tools and automation for distributed training, inference, monitoring, and experiment management.Collaborate closely with research, training, and platform teams to accelerate development and enable large-scale training and inference.Push the limits of hardware, networking, and software to accelerate the path from idea to model.About YouDeep systems or infrastructure engineering experience in high-performance or distributed computing environments.Strong understanding of GPUs, CUDA, NCCL, and large-scale training and inference frameworks and libraries (PyTorch, DeepSpeed, JAX, Megatron-LM, SGLang, vLLM, etc.).Hands-on experience with containerization, orchestration, and cluster management (Kubernetes, Slurm, or similar).Familiar with modern observability stacks and performance profiling tools.High agency and the ability to thrive in a fast-paced, high-ownership startup environment.Excited to build from zero to one defining how frontier-scale training/RL infrastructure is architected and operated.Motivated by enabling researchers and engineers to build the world’s most capable open-weight AI systems.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleBuild systems that transform powerful pre-trained models into aligned and general agents.Drive research and engineering initiatives that push the frontier of post-training, from data curation to large-scale optimization.Develop data generation pipelines, reward models, reinforcement learning algorithms, and inference-time scaling techniques.Collaborate across pre-training and post-training teams to deliver step-function gains in model capability.Contribute to shaping our understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.About YouDeep understanding of machine learning fundamentals and practical experience with large-scale LLM training.Strong engineering skills, comfortable diving into complex ML codebases and distributed systems.Experience improving model behavior through data, reward modeling, or RL techniques.Evidence of owning ambitious research or engineering agendas that led to measurable model improvements.Thrive in a fast-paced, high-agency startup environment; bias toward action and clarity of execution.Able to work fluidly across research and infra boundariesStrong communication capabilities and comfort working collaborativelyPassionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleResearch and build solutions across algorithms, scaling laws, data processing, optimizers, and model architecture.Design and run scientific experiments to advance our understanding of scaling large language models and data efficiency.Implement state-of-the-art methods from the deep learning literature.Lead small research projects independently while collaborating on larger initiativesOptimize the training infrastructure for efficient scaling.Contribute across the entire stack, from low-level optimizations to high-level model design.About YouGraduate degree (MS or PhD) in Computer Science, Machine Learning, or related discipline.Solid software engineering capabilities with experience building large-scale systems.Experience with large-scale ETL workflows and training data preparation.Deep understanding of large-scale ML, especially as it relates to language models, distributed training, and scaling.Proficient in Python and deep learning frameworks (PyTorch preferred).Navigate trade-offs between research objectives and practical engineering realities.Thrive in a fast-paced, high-agency startup environment with bias toward action.Strong communication capabilities and comfort working collaboratively.Passionate about advancing the frontier of intelligence.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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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 AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are making a huge impact in the Healthcare industry. As an AI Platform Engineer, you will collaborate closely with a cross-functional team of researchers, clinical scientists, and product engineers. You will design and build the runtime, orchestration engine, and evaluation platform for agentic orchestration and LLM-driven workflows.What You’ll DoDesign and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs.Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool-calling interfaces, and scheduling for cost, latency, and quality.Build secure, sandboxed execution for agent actions and code; optimize cold start, isolation, and observability.Ship unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors for data and actions.Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time.Partner with Research to deliver new agent capabilities end to end—from prototype to production.What You’ll BringExperience building agent applications with tool-calling, context engineering, or open connector integrations.Fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, or custom pipelines).Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool use, or agentic workflows.Strong coding skills in one or more of: Python, Java, Go. Comfortable with service design, APIs, and data models for high-throughput systems.Working knowledge of containers and kubernetes concepts. Familiarity with metrics, tracing, on-call rotations, and incident response practices.Self-motivated with a willingness to take ownership.Strong communication skills and ability to work collaboratively in a team environment.Bonus Points If…Prior work on agent orchestration pipelines: task routing, planning, memory graphs, vector search, or browser automation.Experience with evaluations, preference optimization, or RL to improve LLM reliability.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. The Opportunity We are hiring a Regional Vice President, Enterprise Sales to build and lead our outbound-led sales motion. The RVP, Enterprise Sales will be at the forefront of driving new logo growth and engaging C-level executives across industries. This is a hunter-first, player-coach role ideal for a high-energy leader who thrives in whitespace, has a track record of outbound pipeline generation, and is ready to build and lead a high-performing team. You’ll be accountable for owning pipeline generation, closing new logos, and building the people, processes, and playbook to scale outbound-led revenue growth in the enterprise segment. If you thrive in high-growth environments and are passionate about translating GenAI innovation into measurable customer outcomes, and shaping the future of customer experience - this role is for you.  What you’ll be doing Hunter Mentality & Outbound Strategy Own and execute an outbound-first GTM motion targeting mid-market and enterprise accounts (typically <500 agents) Build and refine ICPs, persona-based messaging, outbound cadences, and prospecting strategies to drive predictable top-of-funnel activity. Collaborate with marketing and SDR teams to align on high-converting campaigns. Player-Coach Sales Leadership Lead from the front as a quota-carrying seller, personally prospecting, engaging, and closing deals. Hire, train, and coach a team of Mid-Market AEs, setting the tone for a metrics-driven, outbound culture. Instill discipline around outbound KPIs—activities, pipeline coverage, conversion rates—while celebrating grit and curiosity. Build & Scale the Function Design the team structure, territories, compensation, hiring plan, and onboarding for an outbound-led mid-market motion. Establish CRM best practices, forecasting cadences, pipeline review rituals, and enablement workflows. Partner with RevOps, Product Marketing, and Enablement to iterate quickly based on data and feedback. AI/GenAI Fluency  Understand and position the value of GenAI-powered solutions in contact center, CX, and revenue acceleration workflows. Translate technical capabilities into business outcomes tailored for mid-market buyers across ops, support, and IT. Stay ahead of GenAI trends, competitors, and evolving use cases in the customer engagement space. What you bring to the role 8–10+ years of B2B SaaS sales experience, including 3+ years in leadership managing mid-market or SMB teams. Strong track record of net-new logo acquisition via outbound prospecting—personally and as a team leader. Experience as a player-coach, balancing individual contributor responsibilities with team leadership. Comfort building from scratch—people, processes, sales motions, and culture—in a high-growth or startup environment. Familiarity with sales methodologies like MEDDIC, CCS, or Challenger, and tools like Salesforce, Outreach/Salesloft, Clari, Gong. Strong storytelling and discovery skills; able to earn trust with technical and business stakeholders alike. Preferred Background Deep familiarity with GenAI, NLP, LLMs, or ML applications in enterprise use cases. Global or multi-regional sales leadership experience (North America, EMEA, or APAC). Background in building high-performing sales teams at companies in post-Series B to pre-IPO stages. Bachelor's or Master’s degree in Business, Engineering, or a related technical discipline. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment. Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients. In this role, you'll help the team: Co-develop production-level data science projects with our customers Analyse and investigate various kinds of data and machine learning applications across industries and use cases Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality You might be a good fit for the role if you have: Curiosity and a desire to learn new topics and skills Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public The ability to clearly explain complex topics to technical as well as non-technical audiences 2 - 10 years of experience with Python and SQL 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn) Familiarity with data visualisation in Python, R Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL Technical skills that may help you in the role: Experience with Consulting and/or Customer-facing Data Science roles Experience with Data Engineering or MLOps Experience developing WebApps in Javascript, RShiny, or Dash Experience building APIs Experience using enterprise data science tools Passion for teaching or public speaking   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We are at an exciting stage of our journey. We‘ve raised our Series A, expanded in the US, and hit the $1m and $2m ARR milestones in 2024; we aim to x5 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.This RoleAs a Partnerships Operations Manager at Dust, you will architect and scale the strategic infrastructure that powers our rapidly expanding partner ecosystem. We're seeking an experienced operator who thrives on building programs from the ground up with deep expertise in operations. You'll bring deep expertise in partnership strategy, proven ability to design scalable systems, and the strategic vision to build the next generation of partner programs.Joining Dust also means pioneering a new form of Partnership Operations. As a GenAI-native company, Dust aims to illustrate how GenAI can help redefine partner relationship management and how partnership teams can be designed with AI-powered workflows in mind.You'll own building our partnership infrastructure in the EU from strategy to execution in a fast-paced environment that rewards both strategic thinking and hands-on execution.Key ResponsibilitiesBuild the key foundations of our Partner ProgramArchitect and implement sophisticated CRM infrastructure and seamless payment collection systems, ensuring all partnership mechanics work flawlessly. You'll refine and structure our Partner Program and Enablement - creating comprehensive partner onboarding and certification programs, establishing strategic business review processes, and developing the complete partner enablement infrastructure (training modules, assessments, tiering frameworks, resource libraries).Scale & Operate the EU Partner ProgramYou will be accountable for the explosive growth of the Partner Sales channel, developing sophisticated operational systems and providing strategic support to partners throughout the entire deal lifecycle from opportunity identification to successful close. You'll build and run the partner growth engine, systematically acquiring high-value partners and driving deep engagement that delivers measurable results.Rethink partner operations with AILeverage Dust as a transformative tool to revolutionize our partnership operations by automating meeting follow-ups, generating comprehensive account summaries, surfacing actionable partner insights from communications, automating responses from partners and prospects, and streamlining all operational workflows for maximum efficiency.Build comprehensive analytics & business intelligenceCreate executive-level dashboards and reporting systems that drive decision-making, implement advanced attribution models, and develop predictive analytics to optimize partner performance and ROI across all partnership channels.Design next-generation partner programsResearch, develop, and launch innovative partnership models with schools, training agencies, or other partners that leverage AI-powered workflows, create competitive differentiation, and establish Dust as a thought leader in partnership strategy within the GenAI space.Requirements6+ years of strategic operations experience in B2B SaaS with demonstrated success building and scaling partnership programs, preferably in high-growth environmentsProven track record of program leadership with experience managing complex, multi-stakeholder initiatives and building systems that scale from startup to enterpriseAdvanced CRM and automation expertise with deep HubSpot knowledge and hands-on experience architecting sophisticated automation workflows (Zapier, Make, or similar platforms)Strategic analytical capabilities combined with exceptional cross-functional collaboration skills to influence and align Sales, Operations, Product, and C-level stakeholdersExecutive communication skills with experience presenting to leadership teams and translating complex operational strategies into clear business outcomesPreferred: Advanced technical skills including SQL proficiency, experience with BI tools (Looker, Metabase, Tableau), and understanding of API integrationsPreferred: Partnership program expertise with hands-on experience building channel partnerships, technology alliances, or marketplace strategies at scaleLocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us At our core, we are shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you’ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale—millions of interactions daily—while shaping the future of AI-powered contact centers.  If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems to create real product impact, you will feel right at home at Observe.AI. You’ll also have the opportunity to publish in top conferences, and influence Observe.AI’s product and platform strategy.  Beyond the tech, you’ll join a collaborative, mission-driven culture where innovation, impact, and fun go hand in hand. We value curiosity, collaboration, and the courage to push boundaries. What you’ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI’s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities to build the right solution for the right problem. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you’ll bring to the role Bachelor’s or Master’s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist.  3+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production; backed by extensive hands-on experience in building/ scaling customer-facing ML/ NLP/ NLU applications. Good understanding of recent advances in building LLM-powered applications,  and multi-agent systems at scale.  Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus Published papers in top NLP/ NLU conferences or workshops are a plus Relevant open-source contributions are a plus. Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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Create Your Own RoleIf you’re exceptional at what you do - whether it’s backend systems, sales, AI research, product design, or something we haven’t even thought of yet - we want to talk to you.At FurtherAI, we hire for talent and ambition first. Titles can come later.About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised a $5M seed round from top investors (YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Founding team includes ex-Apple AI Research, 4 ex-YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Technical Depth: Work alongside a staff research scientist and a team of 7 engineers solving cutting-edge problems in AI and scalable backend systems.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.