AI Scientist - Palo Alto

About MistralAt Mistral, we are dedicated to making artificial intelligence accessible to all, creating cutting-edge solutions that empower individuals and businesses alike. Our innovative models are developed collaboratively by engineers across the globe, fostering an inclusive and open environment.Our passionate team thrives on creativity and collaboration…

About Nightfall:Nightfall is an innovative, AI-driven platform specializing in unified data loss prevention and insider risk management. We secure sensitive data across various environments, including SaaS applications, Generative AI tools, email, and endpoint devices. Trusted by numerous clients, from AI pioneers to Fortune 10 banks, Nightfall empowers organizations to innovate safely, mitigating the risks associated with data loss and intellectual property exposure. Our intelligent platform automates data loss prevention, allowing security teams to focus on strategic initiatives by resolving security violations proactively and providing real-time training to users.Our endeavors are supported by top-tier venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, alongside cybersecurity leaders including Frederic Kerrest, Maynard Webb, Ryan Carlson, and Kevin Mandia.About the Role:We seek a highly skilled technical leader to join our expanding team at Nightfall. As the Lead AI/ML Data Scientist within the AI Engineering organization, you will be pivotal in developing ML/NLP models and Generative AI solutions that enhance our Data Loss Prevention (DLP) and security products. This role involves spearheading research and applying advanced machine learning techniques to address security challenges, while guiding ML and backend engineers in deploying systems into production. You will also be instrumental in shaping the future architecture of our AI platform.This position is hybrid, requiring three days in the office at our Palo Alto, California location, and represents a fantastic opportunity for those passionate about data science and machine learning engineering.

About VoltaiVoltai is at the forefront of developing advanced world models and intelligent agents designed to learn, evaluate, plan, experiment, and interact with the physical environment. Our initial focus lies in understanding and innovating hardware, specifically in electronics systems and semiconductors, where artificial intelligence can surpass human cognitive capabilities.About Our TeamOur team is backed by prominent investors from Silicon Valley, Stanford University, and high-profile leaders from companies like Google, AMD, Broadcom, and Marvell. We comprise former Stanford faculty, researchers from SAIL, medalists from international Olympiads, and executives from leading tech firms, including Synopsys and GlobalFoundries, alongside notable figures from the U.S. government.Key ResponsibilitiesDevelop and optimize MPI+CUDA PDE solvers for electrostatics, charge transport, and electromagnetic field challenges on intricate 3D IC geometries utilizing multi-node GPU clusters.Enhance and extend AMG preconditioners, Krylov solvers, and mesh pipelines, ensuring performance and correctness at scale.Construct and train neural operators (FNO, DeepONet, GNO, and variants) as high-fidelity surrogates for PDE-based field solvers.Design simulation pipelines that yield training data for neural operator models, addressing sampling strategies, mesh management, and physical consistency checks.Conduct thorough validations, including analytical solutions, published benchmarks, and cross-validation between field solvers and learned surrogates.QualificationsPhD in Computational Physics, Applied Mathematics, Computational Engineering, or a closely related discipline.Extensive knowledge of numerical PDE methods: FEM, FVM, or BEM, including weak formulations, quadrature, convergence, and error analysis.Proficient in C++ and CUDA, with a focus on writing and optimizing kernels, memory hierarchy management, and multi-GPU programming.Experience with multi-node HPC: MPI, domain decomposition, collective communication, and scaling strategies.Deep understanding of sparse linear algebra, including Krylov methods, algebraic multigrid, and preconditioning techniques.Hands-on experience with neural operators (FNO, DeepONet, or similar), encompassing training, architecture design, and evaluation on PDE datasets.Solid grasp of AI applications in scientific research.

Join us at Simular, where we are at the forefront of developing agentic AI technologies. We invite you to be part of a dynamic team dedicated to pioneering advancements in artificial intelligence that will shape the future of human-agent interactions.Your RoleAs a Research Scientist at Simular, you will:Lead groundbreaking research initiatives in planning, reinforcement learning, multimodal reasoning, grounding, and AI alignment, focusing on critical areas such as reward modeling and AI safety.Design and implement comprehensive experiments encompassing data collection, benchmarking, model training, and evaluation processes.Develop innovative methodologies that enhance AI agent capabilities and reliability, collaborating with top-tier scientists and engineers to achieve significant academic and product outcomes.Work closely with engineering teams to integrate research prototypes into practical applications.Contribute to the AI research community by publishing and presenting findings at prestigious conferences.Engage in hands-on scientific advancement through method design, dataset creation, experimental execution, and benchmarking against state-of-the-art standards.

Grindr connects millions of LGBTQ+ people worldwide through an AI-driven platform. With over 15 million monthly users and more than 130 billion messages exchanged each year, the company’s team of fewer than 200 faces technical challenges at a truly global scale. The Data organization brings together data scientists, data engineers, and ML/AI engineers in a collaborative environment, where sharing knowledge and supporting each other's growth is part of daily work. Role overview The Senior Data Scientist role focuses on Ecosystem Health. This position collaborates closely with product managers, designers, and engineers to shape product metrics, design and analyze experiments, and uncover insights that guide product direction. The work aims to improve user retention by building a safer and more authentic community, proactively preventing harm, strengthening identity trust, and empowering users to manage their safety experiences. The team also adapts to evolving regulatory requirements as needed. This role sits at the intersection of AI/ML, fraud prevention, risk management, and trust & safety. Strategies and innovations developed here help ensure authenticity, reduce harmful behaviors, and build user confidence across Grindr’s global user base. Grindr values technical skill and curiosity, especially for those interested in developing their product sense and analytical leadership. This position offers the chance to expand influence and learn from colleagues with diverse backgrounds. How the team works Grindr’s "Grindr Mode" philosophy means working hard while prioritizing well-being. The company values results over raw output, and the team supports each other in maintaining high standards along with a healthy work-life balance. What you will do Define and monitor key product metrics in partnership with cross-functional teams. Design, execute, and analyze A/B tests to measure the impact of new features. Conduct deep data analyses to identify trends and generate actionable insights. Communicate findings clearly to stakeholders and help shape product strategies. Build dashboards and tools that enable teams to track metrics and make informed decisions. Contribute to best practices and knowledge sharing within the Data Science team. Location This position is based in Palo Alto.

Our MissionAt Whop, we are dedicated to providing everyone with a sustainable income. Currently, we empower millions across the globe, exemplifying the transformative nature of today's workforce, especially for the youth.About the RoleWe are in search of talented Data Scientists to play a pivotal role in shaping our decision-making framework. You will be responsible for managing the data infrastructure that informs our understanding of growth, product efficiency, marketplace trends, and overall financial and operational health. Collaborating closely with teams in product, growth, finance, and leadership, you will address critical questions that guide our strategic investments, identify successes and challenges, and accelerate our scaling efforts.Key ResponsibilitiesTransform complex product, marketplace, and financial data into actionable insights.Develop dashboards and metrics that are integral to leadership and team decision-making.Identify key growth drivers, retention trends, funnel obstacles, marketplace quality indicators, and monetization prospects.Collaborate with product and engineering teams to establish metrics, enhance data collection processes, and assess product launches.Prepare performance reports suitable for board and executive review.Proactively identify anomalies, risks, and opportunities before they are raised by other teams.Required QualificationsProven experience in a data science, analytics, or strategic data role within a fast-paced technology company.Ability to convert ambiguous business inquiries into structured analyses, metrics, and actionable recommendations.Expertise in handling disorganized, incomplete, or rapidly evolving data.Strong judgment regarding product and business strategies; capable of distinguishing between intriguing and practical analyses.Excellent communication skills that bridge technical and non-technical teams.A proactive mindset: you take initiative to address significant challenges without waiting for explicit direction.Comfortable collaborating closely with founders, leadership, product, engineering, growth, and finance teams.Preferred QualificationsExperience in marketplace dynamics and financial modeling.

At Rhoda AI, we are pioneering a comprehensive platform for the next generation of humanoid robots. Our cutting-edge technology encompasses high-performance, software-defined hardware alongside sophisticated foundational models and video world models. Our robots are crafted to be versatile and capable of navigating complex, real-world scenarios that may not be covered in traditional training. We are at the forefront of large-scale learning, robotics, and systems integration, boasting a research team that includes esteemed professionals from Stanford, Berkeley, Harvard, and other prestigious institutions. With over $400 million raised, we are committed to significantly investing in research and development, hardware innovation, and scaling up our manufacturing processes to realize our vision.We are seeking a talented mid-to-senior Application Engineer who will be instrumental in translating real-world customer use cases into effective intelligent robot deployments. You will engage in the design, prototyping, and enhancement of grippers, end-of-arm tooling, workstations, and integration hardware. Additionally, you will develop efficient strategies for robot learning and data collection, operating at the confluence of robotics, artificial intelligence, hardware, and deployment operations.

About UsAt Hippocratic AI, we are pioneers in the realm of generative AI for healthcare. Our innovative system enables safe and autonomous clinical dialogues with patients, achieving over 99.9% accuracy through our proprietary large language models (LLMs) within the Polaris constellation.Why Join Our TeamTransform healthcare with safety in mind. We are developing the world’s first healthcare-specific, safety-centric LLM, a revolutionary platform aimed at enhancing patient outcomes globally. This represents a new category in healthcare technology.Collaborate with industry leaders. Co-founded by CEO Munjal Shah alongside a team of esteemed physicians, hospital executives, AI innovators, and researchers from top institutions such as El Camino Health, Johns Hopkins, Stanford, Google, and NVIDIA.Supported by premier investors. Recently, we secured $126M in Series C funding at a $3.5B valuation, led by Avenir Growth, contributing to a total funding of $404M from notable investors including CapitalG, General Catalyst, and a16z.Work with the best minds in healthcare and AI. Join a team dedicated to improving healthcare, advancing science, and creating transformative technologies that ensure our platform is powerful and trusted.About the RoleAs an AI Engineer at Hippocratic AI, you will be instrumental in advancing voice-based generative AI in healthcare. Your responsibilities will include designing and developing intelligent systems that power our clinically safe healthcare agents, integrating large language models with real-time voice technology and human-centered design.This is a hands-on, cross-functional position, requiring close collaboration with AI researchers, product managers, and clinical experts to deploy advanced language and speech models. Your contributions will significantly shape how patients and providers interact safely with generative AI.

Join Grindr, the world's preeminent LGBTQ+ social app, as a Senior Data Scientist. This hybrid role is based in our Bay Area or Chicago offices, requiring in-office attendance on Tuesdays and Thursdays.As a Senior Data Scientist, you will collaborate with product managers, designers, and engineers to establish meaningful metrics, design and evaluate experiments, and derive insights that will guide product development. You will play a critical role in shaping data products and experimentation, focusing on enhancing user experience.You will be a key member of Grindr’s centralized Data organization, which fosters collaboration among data scientists, data engineers, and ML/AI engineers. This position offers an exciting opportunity to amplify your impact while learning from experts across various disciplines.

Hippocratic AI is building generative AI systems for healthcare, focused on safe, autonomous clinical conversations. The company’s proprietary large language models (LLMs) power these interactions, achieving an accuracy rate above 99.9%. This team is developing a healthcare-exclusive, safety-first LLM platform with the goal of improving patient outcomes worldwide. The company is led by CEO Munjal Shah and a group of physicians, hospital executives, AI researchers, and engineers from organizations such as El Camino Health, Johns Hopkins, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading investors in healthcare and AI, including Avenir Growth, CapitalG, General Catalyst, and a16z. The company recently completed a $126 million Series C round, reaching a $3.5 billion valuation and $404 million in total funding. Role overview The Staff AI Engineer will shape the technical direction for voice-based generative AI in healthcare. This position involves designing intelligent systems that enable clinically safe healthcare agents, blending expertise in large language models, real-time voice interaction, and user-centered product development. This is a hands-on role with significant impact. The Staff AI Engineer will oversee one or more core AI domains, such as retrieval-augmented generation (RAG), agent orchestration, evaluation, or real-time voice. Collaboration with AI researchers, product managers, and clinical experts is central, as is mentoring engineers across the organization. Contributions in this role will influence how patients and providers interact with generative AI at scale. Hippocratic AI seeks experienced technical leaders who want to apply AI to real-world healthcare challenges and set high standards for technical excellence. Location requirement This position is based in Palo Alto and requires in-person attendance at the office five days a week unless otherwise specified.

About UsHippocratic AI stands at the forefront of generative AI innovation in healthcare, offering the only system capable of conducting safe and autonomous clinical conversations with patients. Our proprietary Large Language Models (LLMs) are part of our Polaris constellation, achieving an impressive accuracy rate of over 99.9%.Why Join Our TeamRevolutionize healthcare with AI prioritizing safety. We are developing the world’s inaugural healthcare-exclusive, safety-centric LLM, aimed at transforming patient outcomes on a global scale. This endeavor marks a significant shift in the industry.Collaborate with industry leaders. Co-founded by CEO Munjal Shah and a distinguished team of physicians, hospital executives, AI innovators, and researchers from renowned institutions such as El Camino Health, Johns Hopkins, and Stanford, we are shaping the future of healthcare.Supported by premier healthcare and AI investors. Recently, we secured $126 million in Series C funding, valuing the company at $3.5 billion, with total funding reaching $404 million from notable investors including CapitalG, General Catalyst, a16z, and others.Build alongside the best minds in healthcare and AI. Join a team of experts dedicated to enhancing care, advancing scientific knowledge, and developing transformative technologies that ensure our platform is powerful, trustworthy, and impactful.Location RequirementWe believe that collaboration breeds innovation. Therefore, this position requires presence in our Palo Alto office five days a week to foster a vibrant team culture.About the RoleWe are looking for a dedicated and detail-oriented Operations Analyst to ensure the uninterrupted, 24/7 functionality of Hippocratic AI’s production systems, integrations, and customer/partner environments. This role is essential for reducing downtime, maintaining client trust, and ensuring the seamless operation of our AI agents and supporting systems.As an Operations Analyst, your responsibilities will include monitoring system alerts, managing integrations, and analyzing operational reports; performing proactive maintenance; troubleshooting common operational issues; and escalating complex problems to the appropriate engineering, platform, or partner teams. You will be vital in early issue detection, coordinating incident responses, and ensuring operational excellence across all customer and partner deployments.

Join us at Rhoda AI, where we are pioneering the full-stack foundation for the next generation of humanoid robots. Our mission encompasses everything from high-performance, software-defined hardware to the foundational models and video-based world models that govern them. Our robots are designed to navigate complex, real-world environments and tackle scenarios that have not been encountered during training. We are a collective of top-tier researchers from esteemed institutions like Stanford, Berkeley, and Harvard, focusing on the intersection of large-scale learning, robotics, and systems. With over $400M raised, we are committed to substantial investments in R&D, hardware development, and scaling manufacturing to bring our vision to life.As a Robotics Software Engineer, you will play a crucial role in developing and maintaining the software that drives our robots. Your primary focus will be on integrating sensors and perception systems to facilitate reliable operations in varied customer environments.

Join us in transforming healthcare through AI.At Qualified Health, we are at the forefront of innovation, harnessing the power of Generative AI to revolutionize the healthcare landscape. Our robust infrastructure ensures safe AI governance, facilitates the creation of healthcare-specific agents, and enables real-time algorithm monitoring—partnering with leading health systems to effect meaningful change.This is not merely a position; it is a chance to shape the future of AI in healthcare, tackle intricate challenges, and significantly enhance patient care. If you are driven, creative, and eager to accelerate progress, we invite you to become a part of our team.Help us define the future of healthcare. Job Overview:We are seeking a dedicated Applied AI Engineer who will be pivotal in developing and scaling AI workflows that are practical and impactful. This role is tailored for engineers who are adept at deploying generative AI applications. You will primarily focus on constructing agentic workflows and integrating production-grade solutions across various product lines.Collaboration with product and engineering teams will be key as you design, deploy, and enhance AI-driven applications that address real-world healthcare issues.Key Responsibilities:Create and implement agentic workflows and automation pipelines (approximately 60% of the role).Develop and sustain production-ready services, REST APIs, and integrations (approximately 30%).Deliver production solutions swiftly, emphasizing agility and efficiency.Collaborate with product, engineering, and design teams to provide comprehensive AI-powered features.Assess and integrate cutting-edge LLMs (OpenAI, Anthropic, Mistral, etc.) for production use cases.Contribute to the development of a scalable workflow infrastructure capable of supporting 100+ workflows.Required Qualifications:Bachelor’s degree with 4 years of experience OR Master’s degree with 2 years in Computer Science, Engineering, or a related field.Robust software engineering foundation (Python is essential; adherence to strong coding practices is a must).Experience in developing AI-powered applications within the last 1–2 years utilizing technologies such as ChatGPT, Claude, Anthropic, or Mistral.Practical experience in REST API development and service deployment in cloud environments (preferably GCP).Solid understanding of MLOps, model deployment, and ...

About Hippocratic AI Hippocratic AI develops generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models (LLMs), part of the Polaris constellation, have achieved over 99.9% accuracy in clinical interactions. Our Mission and Team The goal at Hippocratic AI is to build the first healthcare-exclusive, safety-focused LLM platform to improve patient outcomes worldwide. The company was co-founded by CEO Munjal Shah, alongside physicians, hospital leaders, AI researchers, and scholars from institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Hippocratic AI is backed by leading healthcare and AI investors. The company recently closed a $126M Series C round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, and individuals like John Doerr and Rick Klausner. Role Overview: Performance Engineer The Performance Engineer will own performance across the entire technology stack. This role involves building automated testing harnesses to uphold system integrity, regularly evaluating models, microservices, and infrastructure. The position also includes responsibility for VoIP quality characterization. The scope covers machine learning infrastructure, backend services, and real-time communications. Key Responsibilities Design and maintain automated performance testing frameworks for the full system, including LLM inference, REST/gRPC microservices, and infrastructure components (PostgreSQL, Redis, message queues, object storage). Integrate performance testing suites into CI/CD pipelines to monitor deployments for latency and throughput regressions. Define SLIs and SLOs, and build dashboards (such as Grafana) to give engineering teams real-time visibility into system health. Location This position is based in Palo Alto.

Hippocratic AI builds generative AI technology for healthcare, focusing on safe, autonomous clinical conversations with patients. The company’s proprietary large language models, known as the Polaris constellation, drive this platform and have achieved an accuracy rate above 99.9%. As a Senior Staff AI Engineer based in Palo Alto, this role centers on advancing healthcare through a safety-first approach. The team is working to launch the first healthcare-specific, safety-centric large language model, with the goal of improving patient outcomes worldwide. Collaboration and Team The team includes experienced physicians, hospital executives, AI researchers, and innovators from leading institutions such as El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA. Co-founder and CEO Munjal Shah leads a group committed to scientific progress and reliable technology in healthcare AI. Funding and Support Hippocratic AI is backed by a strong group of healthcare and AI investors. The company recently closed a $126M Series C funding round at a $3.5B valuation, bringing total funding to $404M. Investors include Avenir Growth, CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others. Location Requirement This position requires working onsite at the Palo Alto office five days a week. The company values in-person collaboration to strengthen team culture and accelerate innovation.

About Arc Institute The Arc Institute is a pioneering scientific organization committed to conducting innovative, curiosity-driven research and technology development aimed at understanding and treating complex human diseases. Based in Palo Alto, California, Arc operates independently and collaborates closely with esteemed institutions such as Stanford University, UCSF, and UC Berkeley. While traditional university research models have achieved remarkable successes, we believe that new institutional frameworks are crucial for advancing science. Our key initiatives include: Funding: We offer comprehensive funding for Core Investigators’ (PIs’) research groups, freeing scientists from the limitations of conventional project-based external grants. Technology: The field of biomedical research relies heavily on advanced tools. Our Technology Centers focus on developing, optimizing, and implementing cutting-edge experimental and computational technologies in collaboration with Core Investigators. Support: Arc is dedicated to providing exceptional operational, financial, and scientific support, allowing scientists to engage in long-term, high-risk, high-reward research that could significantly advance cures for diseases such as neurodegeneration, cancer, and immune dysfunction. Culture: We prioritize fostering a culture that emphasizes scientific curiosity, a commitment to truth, ambitious goals, and collaborative teamwork. Arc has grown to over 350 team members with more than $650 million in committed funding and a state-of-the-art laboratory facility in Palo Alto. We are poised for rapid expansion in the coming years. About the Position We are on the lookout for a highly skilled and driven Scientist to join the Horns Lab at the Arc Institute. In this role, you will spearhead the creation of an innovative platform designed to map human antibody specificities on a large scale. You will be pivotal in developing, optimizing, and implementing a high-throughput system for the identification of antigen-specific B cells and their antibody sequences via single-cell sequencing, thereby enhancing our understanding of human immunity and aiding in the discovery of new antibodies.

OpusClip is the leading AI video agent focused on fostering authenticity in social media.Our vision is to empower individuals and businesses to share their stories authentically through video, regardless of their technical expertise. In just 18 months, we have attracted over 10 million creators and businesses to elevate their social media presence using OpusClip.With a total funding of $50 million, we are backed by prominent investors including SoftBank Vision Fund, DCM Ventures, and Millennium New Horizons, among others.Our recent recognition by Business Insider highlights our product advancements and funding success, and we are proud to be listed as one of The Information's 50 Most Promising Startups for 2024.Based in Palo Alto, we are a dynamic team of 100 dedicated AI enthusiasts and video experts, united by our core values: Champion TeamworkRuthless PrioritizationRapid Development with QualityCustomer ObsessionJoin us on this exciting journey!

Why Join Zania?At Zania, we are on a mission to revolutionize Governance, Risk, and Compliance (GRC) through innovative technology. With enterprises investing millions in GRC, the sector is primed for transformation. Our cutting-edge agentic AI is designed to tackle the complexities of compliance and risk management effectively, setting new benchmarks in the industry.We are experiencing rapid growth and are looking for talented individuals to join our team. Here are some compelling reasons to consider a career with us:Prestigious Clientele: Collaborate with leading global enterprises such as FAANG and top-tier firms.Strong Financial Backing: Supported by a top-tier venture capital firm, enabling us to build a legacy company.Exceptional Team: Work alongside industry leaders from renowned companies like Airbnb, Microsoft, and Deloitte.Innovative Technology: Engage in pioneering applied AI projects that are shaping the future of compliance.Rapid Expansion: Join us as we celebrate a remarkable 10x growth in annual recurring revenue over the past year.Attractive Compensation: We offer competitive salaries and equity options.Position OverviewAs an Applied AI Engineer at Zania, you will spearhead the development of advanced AI systems that surpass traditional methods in GRC. Your focus will be on building production-level AI solutions with an emphasis on accuracy, innovation, and ethical considerations. This position is located in our Palo Alto office, and we provide relocation assistance for qualified candidates.Your ResponsibilitiesModel Development: Fine-tune foundational AI models using proprietary datasets and implement cutting-edge techniques to enhance precision in GRC tasks.AI Workflow Creation: Design and develop intricate agentic workflows that optimize compliance processes.

About Nightfall:Nightfall AI is a pioneering, AI-driven platform specializing in unified data loss prevention and insider risk management. We safeguard sensitive information across a variety of channels including SaaS applications, GenAI tools, email, and endpoint devices. Our esteemed clientele, ranging from groundbreaking AI companies to some of the world’s top banks, relies on Nightfall to effectively detect and prevent data exfiltration at scale. Our innovative platform empowers organizations to pursue their goals without the looming threat of losing intellectual property or compromising customer data. By automating data loss prevention processes, we enable security teams to focus on strategic initiatives while ensuring that security violations are addressed proactively through automatic remediation and real-time user training.Supported by top-tier investors including Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, along with distinguished cybersecurity leaders such as Frederic Kerrest and Maynard Webb, Nightfall is positioned at the forefront of data security innovation.About the Role:As an Enterprise Customer Success Manager at Nightfall AI, you will take ownership of strategic relationships with our most significant customers, ensuring they derive tangible, measurable value from our AI-native data security platform. You will serve as a trusted advisor to leaders in security, compliance, and engineering, guiding them from the onboarding phase through to renewal and expansion efforts.This position is perfect for someone who excels in complex enterprise settings, possesses the ability to translate technical features into impactful business outcomes, and is eager to shape the future of Customer Success in a rapidly growing security company.What You'll Do:Oversee the entire customer journey, from onboarding and adoption to value realization, renewals, and expansions.Manage a portfolio of enterprise clients, focusing on adoption, retention, renewals, and growth.Lead the onboarding process and ensure early lifecycle success, establishing strong deployment, stakeholder engagement, and rapid time-to-value.Set and monitor customer success benchmarks (adoption milestones, risk mitigation, operational results) and provide regular updates on progress.Convert product usage data and outcomes into clear business value and ROI for clients.

At Rhoda AI, we are pioneering the development of the full-stack architecture for the future of humanoid robotics. Our innovative work spans from high-performance, software-defined hardware to foundational models and visual models that govern it. Our robots are designed as generalists, capable of navigating complex, real-world environments and addressing scenarios that were not included in their training. We collaborate at the intersection of large-scale learning, robotics, and systems, with an exceptional research team featuring experts from Stanford, Berkeley, Harvard, and other prestigious institutions. We are not merely creating a feature; we are establishing a groundbreaking computing platform for physical tasks. With over $400M raised, we are heavily investing in R&D, hardware development, and scaling up manufacturing to turn our vision into reality.We are seeking a talented Full Stack Software Engineer to contribute to the development of our crucial automation platform. This tool is vital for how we gather data, validate task performance, manage model versions, and quickly iterate on model training and deployment.