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Engineering Lead (Founding Engineer) Location: Remote – Anywhere in LATAM Compensation: $80K–USD 120K (DOE)About the RoleWe’re a fast-growing, AI-driven travel startup seeking an experienced Engineering Lead to join as a Founding Engineer. This is a high-impact role for someone with strong technical expertise, proven startup experience, and a passion for building innovative products using the latest in AI and automation.You’ll be instrumental in shaping our product and engineering culture, while working closely with cross-functional, global teams.ResponsibilitiesLead the design and development of core products using Node.js, React, and TypeScript.Work hands-on with code while providing engineering oversight, during US working hours.Collaborate closely with founders to ensure seamless alignment between engineering and business needs.Manage code quality through reviews, mentoring, and clear technical direction.Coordinate and communicate with distributed teams across the US, Sri Lanka, the Philippines, and Latin America.Help recruit and build a full-time, high-performing engineering team.Contribute to the product roadmap and drive innovation in AI-powered travel experiences.RequirementsProven experience as a founding engineer or engineering lead in a fast-paced startup environment.Strong technical expertise in Node.js, React, and TypeScript, with a focus on scalable and maintainable architecture.Hands-on experience building and shipping products at a consumer-facing startup, ideally with high design and UX standards.Demonstrated ability to lead and collaborate with distributed teams across multiple time zones.Strong communication and leadership skills, with the ability to align engineering with business goals.Deep curiosity and practical knowledge of modern AI tools, agentic workflows, and AI-assisted development platforms (e.g., GitHub Copilot, Cursor).Availability to work primarily during US business hours.Willingness to travel to the US once a month for in-person collaboration.Fully committed to the role—no part-time or side projects.A US visa is a plus.Nice to have QualificationsExperience recruiting, hiring, and managing engineering teams.Interest or background in consumer travel technology and reward/points optimization.#LI-NC1

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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Hey! We're team Granola 👋  If you haven't already, you should check out what we're building, and why you should work here.We're looking for an Product Engineer focussed on the Backend to help us scale our systems to unlock Granola for the next 100x users.In this role, you will deep dive into scaling challenges, build secure and reliable infrastructure, and develop robust backend solutions that power exciting new features.In this role, you will:Own the evolution and scaling of our backend infrastructureDesign and implement performant APIs and servicesBuild infrastructure to support cutting-edge AI capabilitiesOptimise database performance and query efficiencyContinuously improve reliability and observability through enhanced monitoring and alertingCollaborate cross-functionally to ensure our infrastructure supports continuous product innovationYour background looks something like:Engineering experience in tech and product-driven environmentsStrong proficiency in TypeScript and Node.jsHands-on experience with cloud infrastructure and infrastructure as code (we build on AWS using Terraform)Deep knowledge of relational databases (we use PostgreSQL)Familiarity with serverless architectures (we love lambdas!)Solid understanding of security best practices and performance optimisationAs a person, you…Are first and foremost a builderAre excited to work in-person from our office in London (most of the time)Love working in a startup environment (you either have experience working in a startup or are really drawn to the zero-to-one phase)Value working with people who are kind, ambitious, and pragmaticHave an interest in infrastructure for AI/ML (direct experience is a bonus, but not required)Thrive in a fast-paced environment with evolving requirements and shifting prioritiesAbout the opportunityWe are living in the most exciting time for tool builders since Engelbart's demo in 1968. We want to assemble the best crew to build this future together, here in London. Our compensation philosophy is to pay slightly above market on salary and above market on equity.We do our best work in person, and so our team spends time together five days per week in our new, bright, and spacious office at Old Street. We are happy to offer relocation assistance to candidates who'll be moving to London to join us.Lastly, we think amazing talent comes from all kinds of life journeys and experiences. If what is written above speaks to you, whether you look like a fit on paper or not, please reach out.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The AI Data team advances the performance of Large Language Models (LLMs) and Vision-Language Models (VLMs) through cutting-edge data-centric techniques. From synthetic data generation to model distillation and AI-driven preference alignment, we develop high-quality datasets that enhance model efficiency, reasoning, and adaptability. Our work directly impacts the training and fine-tuning of frontier AI systems, ensuring they learn from richer, more diverse, and better-structured data.Join us in shaping the future of AI through cutting-edge data optimization. We’re looking for driven individuals who thrive in fast-changing environments, adapt to new research paradigms, and eagerly take on challenges—whether deploying models, inspecting data, or pioneering new synthetic and reinforcement learning data methods.Key Responsibilities:Develop and implement cutting-edge data strategies to improve the performance, efficiency, and applicability of LLMs, VLMs and Action Models:Generate and augment synthetic multimodal datasets, including images, text, and action trajectories, to advance model capabilities in areas like VQA, agent behaviors, and virtual navigationApply model distillation techniques to optimize large-scale models for edge deployment, ensuring scalability without compromising performanceDesign and iterate on evaluation frameworks to target edge cases and measure model improvements across multiple domainsLead research into aligning data with human and AI preferences, implementing feedback loops to refine agent decision-making and learning behaviorsCollaborate effectively with cross-functional teams to integrate data-driven solutions into LLM, VLM and Agent systemsStay at the forefront of breakthroughs in AI data strategies, model distillation, and multimodal learning through active scientific explorationRequirements:Technical skills:Strong, polyvalent programming skills in Python covering parallel computing, system design, large-scale deployments, AWS deployments and model evaluationsExperience developing and maintaining multimodal data pipelinesExperience in training and deploying LLMs, VLMs or Pytorch modelsResearch skills:MSc or PhD in machine learning, computer vision, natural language processing, or a related fieldDeep understanding of training and evaluation paradigms for multimodal modelsSoft skills:Strong communication skills with technical and non-technical staffEffectiveness in fast-changing environmentsNice to Have:Experience with agent-specific data pipelines and improvement techniques is a plusExperience managing efficient multi-modal human annotation platforms is a plusLocation:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Team: The Models team builds the foundational models that power our cutting-edge agentic technology. We focus on training techniques to optimize model capabilities specifically for agent applications. This allows us to achieve the best performance at a given inference cost. Our work spans the development of Large Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We are deeply involved in enhancing these models through training methods with a focus on improved instruction following, tool use, and interaction with dynamic environments via large-scale reinforcement learning and reward modeling. We operate at the intersection of research and product, translating cutting-edge research into practical solutions that drive the next generation of AI. We are looking for bright, motivated individuals to join our ranks and shape the future of superintelligent AI.Key Responsibilities:Develop and train advanced LLMs and VLMs, including multimodal architecturesResearch and implement training methods for enhanced capabilities like instruction following and tool useDesign and optimize data pipelines and training systems for large-scale distributed trainingCollaborate with cross-functional teams to integrate models into agentic AI systemsEvaluate model performance and communicate findings to stakeholdersStay current with advancements in LLMs, VLMs, and related fieldsRequirements:Technical skills:Strong programming skills (Python, Git)Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow)Experience with large-scale distributed training of LLMs and VLMsHands-on experience with LLM training, alignment, and reinforcement learningKnowledge of multimodal architectures and applicationsResearch skills:Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV)Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV)Soft skills:Excellent communication and presentation skillsStrong collaboration and teamwork skillsPassion for AI and problem-solvingBonuses:Industry experienceExperience in LLM training with RLExperience with data processing techniquesLocation:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startupsCollaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environmentEnjoy a competitive salaryUnlock opportunities for professional growth, continuous learning, and career developmentIf you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team:The Product Engineering Team is committed to ensuring the successful implementation and operation of our Agents and Inference platforms, including ancillary services, which serve the needs of our Research department and act as a foundation for agentic products and services we take to market.Key Responsibilities:Define and lead technical architecture, design, and long-term engineering roadmap.Develop and maintain complex, high-performance, and scalable systems.Mentor and guide engineers across multiple teams, fostering technical excellence.Conduct thorough code and design reviews, ensuring quality and security best practices.Collaborate with Research, Engineering, and other stakeholders to deliver impactful solutions.Drive improvements in system reliability, scalability, and observability.Establish and enforce engineering standards, tooling, and processes.Champion technical innovation and proactively address technical debt.Requirements:Technical skills:Previous demonstrable role(s) as Staff Engineer with relevant set of responsibilities and achievementsStrong 5+ years of experience in Python backend development (Flask, Django, FastAPI or similar)In-depth experience with distributed systems or cloud computing, preferably in AWSExperience building and shipping end to end solutionsExperience building APIs (REST and/or GraphQL) and integrating with external services.Expertise in relational and non-relational databasesExperience working with message queueing technologies (SQS/RabbitMQ/Kafka/etc.)Solid understanding of coding standards, architectural patterns and test frameworksExpertise in instrumentation, observability and monitoringSoft skills:Mentorship & Influence - You inspire and elevate engineers across teams - you are a true force multiplier.Cross-Functional Communication - You communicate effectively with engineers and business leaders, switching between technical and business contexts.Technical Leadership – You are able to guide teams through complex technical decisions, balancing short-term delivery with long-term architectural health.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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About H: H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.About the Team: The Agent team defines new learning algorithms and agent paradigms to push the frontiers of agentic systems. We build upon foundation models and reinforcement learning to develop new approaches to train artificial general agents and work closely with the LLM/VLM and Safety teams to explore new directions.This is a heavily engineering-focused role embedded within the research team. You will be responsible for defining the architecture and building the robust, scalable systems that underpin our research efforts. Your work will translate cutting-edge research concepts into high-performance, production-quality platforms, enabling the next generation of agentic AI.Key Responsibilities:Define and lead the technical architecture, design, and long-term engineering roadmap for agent research platforms.Develop and maintain complex, high-performance, and scalable systems that serve as the foundation for our research.Mentor and guide other engineers and researchers on the team, fostering technical excellence and best practices.Conduct thorough code and design reviews, ensuring quality, security, and scalability.Collaborate closely with researchers to implement, test, and productionize new agent logics and learning algorithms.Drive improvements in system reliability, scalability, and observability for our research infrastructure.Establish and enforce engineering standards, tooling, and processes within the Agent team.Champion technical innovation and proactively address technical debt to accelerate research and development.Requirements:Technical Skills:Previous demonstrable role(s) as a Staff, Principal, or Senior Engineer with a relevant set of responsibilities and achievements.Strong 5+ years of experience in Python development.Proven experience building, scaling, and shipping end-to-end solutions involving Machine Learning models (LLMs/VLMs).Proficient in at least one deep learning (PyTorch, JAX, TensorFlow) or agentic framework (LangChain, AutoGen, CrewAI, OpenAI SDK).Expertise in instrumentation, observability, and monitoring for complex systems.Solid understanding of coding standards, architectural patterns, and test frameworks.Bonus Skills:Experience with distributed systems or cloud computing, preferably in AWS.Experience in LLM training/fine-tuning.Experience with Reinforcement Learning (RL) frameworks or algorithms.Experience developing large-scale evaluation and benchmarking systems for AI models.Soft Skills:Enjoys collaboration and teamwork in a research-oriented environment.Impactful communication skills, with the ability to bridge the gap between research and engineering.Eager to explore and solve the new engineering challenges of agentic AI.Location:Paris or London.This role is hybrid, and you are expected to be in the office 3 days a week on average.Please expect some travel between offices on a reasonable cadence (e.g., every 4-6 weeks).What We Offer:Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups.Collaborate with a fun, dynamic, and multicultural team, working alongside world-class AI talent in a highly collaborative environment.Enjoy a competitive salary.Unlock opportunities for professional growth, continuous learning, and career development.If you want to change the status quo in AI, join us.

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Cruose's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About the Role:A Senior Director of Product Management, Managed AI & Inference is a senior leader responsible for defining and driving the product strategy and roadmap for Crusoe’s Managed AI Services, with a particular focus on large-scale inference capabilities. This role involves balancing customer needs with technical feasibility and business goals, while overseeing the entire product lifecycle from ideation to delivery and continuous improvement. The Director will lead a product management team to ensure Crusoe’s Managed AI offerings deliver industry-leading performance, scalability, and sustainability. What You'll Be Working On:Setting the product vision and strategy: Define the long-term vision, strategy, and roadmap for Managed AI & Inference services, aligning them with overall company goals, market trends, customer needs, and GTM strategy.Leading and managing a team: Provide leadership, guidance, and mentorship to a team of product managers, overseeing their performance and development.Driving product development and execution: Collaborate closely with engineering, infrastructure, cloud software, SRE, finance, and executive teams to define product requirements, prioritize features, and oversee the product development lifecycle from concept to launch.Market analysis and competitive intelligence: Conduct market research, analyze competitive landscape, and stay updated on AI/ML infrastructure trends, including inference platforms, generative AI, LLMs, and multimodal models, to inform product strategy and identify new opportunities.Customer engagement: Build and maintain relationships with key stakeholders and customers to understand their needs, gather feedback, and translate them into actionable product improvements.Go-to-Market (GTM) strategy: Partner with sales and marketing teams to develop effective GTM strategies and messaging for Managed AI & Inference offerings, including pricing and positioning.Performance management: Monitor key performance metrics, analyze data to measure product success, identify areas for improvement, and make data-driven decisions.Resource and budget management: Manage product budgets and resources effectively to achieve business goals.Risk management: Proactively identify and address technical risks, scaling challenges, and infrastructure bottlenecks.Cross-functional collaboration: Work effectively with various teams to ensure successful product execution and alignment with Crusoe’s sustainability goals.What You'll Bring to the Team:Strategic thinking and leadership: Ability to think strategically, set a clear vision, make informed decisions, and guide the team toward achieving product goals.Deep technical acumen: Strong understanding of AI/ML workloads, inference systems, and cloud infrastructure technologies and trends, with specific experience in AWS, Azure, and GCP.Product management expertise: Proven track record in product management, particularly in AI/ML platforms, inference products, or related cloud services, with experience managing and launching technical products and features at scale.Analytical skills and data-driven decision making: Ability to analyze market and customer data, interpret complex data sets, and use insights to drive product strategy and prioritization.Excellent communication and collaboration skills: Strong communication and interpersonal skills to engage with diverse stakeholders, present technical concepts, and build consensus.Experience leading and managing teams: Proven experience in leading and mentoring product management teams.Agile and Lean methodologies: Familiarity with Agile and Lean product management methodologies.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $200/monthCompensation RangeCompensation will be paid in the range of $235,000 – $295,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s knowledge, education, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the role Location: [Remote / Flexible] At Snorkel AI, we're redefining how enterprises build and deploy machine learning applications with programmatic data labeling and powerful LLM-adaptive data pipelines. Our Data-as-a-Service (DaaS) business partners with the world’s leading AI labs and technology companies to deliver the high-quality data that fuels their most ambitious GenAI efforts. We’re looking for a customer-focused Engagement Manager to join our DaaS Engagement Management team. In this role, you’ll be the primary point of contact for enterprise accounts—ensuring successful delivery of complex datasets, building trusted partnerships, and supporting customers from pilot to full production. You’ll work closely with the Head of Engagement Management and cross-functional teams to deliver value, shape customer outcomes, and identify opportunities for growth. This is a hands-on role that blends customer success, technical program management, and strategic account engagement. You will champion our customers’ success, navigate complex delivery challenges, and help scale our DaaS business. Responsibilities Serve as the primary partner for assigned DaaS customers, leading meetings, and managing expectations and relationships from project kick-off through ongoing production with various stakeholders (including data scientists, engineers, and business leaders). Manage delivery of complex datasets, meeting quality, scope, and SLA expectations. Guide customers from pilot to production, securing long-term commitments. Build trust with senior technical stakeholders, guiding them through delivery milestones and ensuring mutual success. Clearly communicate project progress, risks, and value delivered—adapting messaging for both technical and non-technical audiences. Collaborate with Sales to identify upsell and expansion opportunities. Identify and collaborate cross-functionally to resolve issues, improve processes, and scale success. Qualifications 5+ years in customer success, account management, or consulting in a technical services/AI/data context. Proven success of managing enterprise accounts and complex delivery programs against timelines, quality targets, and SLAs. Exceptional communication and interpersonal skills, with the ability to build rapport and manage relationships with diverse stakeholders. Able to clearly explain technical concepts to non-technical audiences. Technical aptitude with data pipelines, AI/ML workflows, or data annotation. Proven ability to navigate ambiguity, adapt to changing circumstances, and proactively solve problems.  Thrives in a fast-paced, high-growth environment. Willingness to travel up to 20% based on customer needs. Bachelor's degree in Computer Science, Information Technology, or a related field The salary range for this position based in the San Francisco Bay Area is $100,000-$170,000 All offers include equity compensation in the form of employee stock options.Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Role At Snorkel AI, we're redefining how enterprises build and deploy machine learning applications with programmatic data labeling and powerful LLM-adaptive data pipelines. Our Data-as-a-Service (DaaS) business serves the world’s leading AI labs and technology companies to deliver the high-quality data that fuels their most ambitious GenAI efforts. We’re looking for a dynamic and strategic leader to head our Engagement Management team—the customer success function responsible for driving long-term partnerships, delivering cutting-edge data solutions, and shaping the future of AI development alongside our customers. As the Head of Engagement Management for DaaS, you will own the end-to-end relationship with our enterprise customers, ensuring the delivery of high-quality data pipelines while developing trusted, strategic partnerships, and driving revenue growth. You’ll lead a team that interfaces directly with AI leaders at the frontier—navigating technical complexity, influencing product/technical strategy, and ensuring successful delivery from pilot through to long-term production. You will be a customer champion, technical advisor, and operator—building the foundation of a high-impact team that directly influences both customer outcomes and Snorkel’s growth trajectory. Responsibilities Lead the Strategic Engagement team, scaling a high-performing group that serves as the trusted primary partner for DaaS customers—from initial pilot through full-scale deployment—driving exceptional delivery outcomes, revenue growth, and long-term account expansion. Build the operating plan and long-term vision for the Engagement Management team, identifying key investments to scale customer success and drive revenue growth. Lead with a metrics-driven mindset, developing KPIs and success metrics to track performance, quality, and customer value of the Engagement Management team.  Oversee the on-time, high-quality delivery of complex datasets, translating technical complexity into clear business value, and guiding customers from pilot to production to secure long-term commitments, scale revenue, and improve margins. Accelerate revenue by strategically driving growth, upsell and cross-sell opportunities across our portfolio of customers and partnering with Sales and Marketing on high-impact expansion initiatives. Develop trusted, strategic relationships with senior technical stakeholders at AI labs  and tech giants—guiding their journey and ensuring mutual success. Champion customer and business needs, shaping priorities across teams while surfacing insights to continuously improve delivery, experience, and technical capabilities. Identify and manage delivery risks and blockers, escalating cross-functionally as needed to maintain project momentum. Collaborate across Snorkel’s teams —Delivery Ops, Engineering, Research, GTM, and Product—to align on customer priorities and execute effectively. Qualifications 8+ years of experience in customer success, technical account management, consulting, or engagement management—ideally in a data/ML, SaaS, or technical services context. Proven track record building and maintaining high-value customer relationships at the executive level, ideally within enterprise tech or AI/ML ecosystems. Strong project management and delivery oversight experience, with the ability to manage ambiguity, prioritize ruthlessly, and drive cross-functional execution. Technical aptitude and fluency in data pipelines, AI/ML workflows, or data annotation—comfortable being hands-on with complex use cases. Exceptional communication skills with the ability to clearly convey value, manage stakeholders, and resolve challenges diplomatically. Experience growing and mentoring high-performing teams; excited to build a team from the ground up. Passion for GenAI, customer outcomes, and building in fast-paced, high-impact environments. B.S. degree in Business Administration, Engineering, or comparable degree/experience. Travel up to 20% based on customer needs. The salary range for this position based in the San Francisco Bay Area is $160,000-$240,000. All offers include equity compensation in the form of employee stock options.Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data. We are a fully in-person team based in Palo Alto, CA. Our organization is flat; our team is small and talent dense.We want to talk to you if you are someone who can bring us closer to living our aspirational values:Own customer impact - It’s on us to ensure real-world outcomes for our customers.Obsess over craft - Perfect every detail because quality compounds.Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.Create win-wins - Creatively turn trade-offs into upside.Make high-conviction bets - Try and fail. But succeed an unfair amount.Job: Our first dedicated research hire - you will answer the question: how to train and scale a model that can serve a web index?You: Have deep intuition on modern models and training. Like to argue how search, recommendations, and transformer models can converge. You care about your research being applied to product and systems that millions use.Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.What you’ll doAs a Product Manager on the Luminai team, your mission will be to define, build, and launch new 0 to 1 products to drive high user impact across healthcare organizations.Within your first 6 months at Luminai, you’ll be responsible for successfully launching and scaling new frontier offerings. As a product leader, you’ll be responsible for the entire lifecycle of new product initiatives--from product scoping to scaled rollout.Define and scope frontier products: Build a deep understanding of customer needs and translate them into actionable product specifications within the first 3 months. Deliver meaningful product capabilities that enhance customer value and support Luminai mission within the first 6 months.Build, launch and scale: Lead the entire product lifecycle, from ideation and prototyping to launch and post-launch optimization. Collaborate closely with cross-functional teams to ensure seamless, scalable implementations within the first 6 months.Platform strategy: Develop and maintain a product roadmap aligned with business goals, balancing short-term deliverables with long-term strategy. Set clear, measurable OKRs and track product success against these metrics for product area.Product ownership: Act as the driving force behind collaboration between product, engineering, design, and GTM teams and enablement for sales and customer success to ensure your platform delivers customer value.Who we're looking forYou have 3+ years of product experience working on 0 to 1 problemsYou have a founder / ownership mindset to product management with a proven ability to take products from ideation through launch and scaleStrong functional technical understanding, with experience managing platform-related products, APIs, or cloud-based systems.You can set and track against OKRs and take a proactive ownership mindset to keep leadership informed on accomplishments and next stepsYou have a strong track record of aligning across multiple cross-functional teams and leading product initiatives by working effectively with engineering, design, and other stakeholdersProficiency in defining key product metrics, tracking success, and making data-driven decisions.You are comfortable working with engineering teams and understanding technical trade-offs, with experience writing detailed product specifications for both technical and non-technical audiencesYou are results-oriented and focus on delivering measurable value for customers, always tracking and achieving key product metrics

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Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale. Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.Role Summary:Notable is seeking an experienced Integration Specialist to join our growing team. This role sits at the critical intersection of engineering, product, and implementation. As a member of our Integrations team, you will play a foundational role in configuring and building robust integrations and automations that connect our customers’ systems (e.g., EHRs, PMs, CRMs) to Notable’s Flow Builder orchestration platform.While integrations are your primary job, you will become a deep expert in our Flow Builder platform to master how data moves into and out of automations and how to hydrate them with data from external systems. You will be a key driver in the work you perform - expected to be independent yet collaborative, deliver with urgency, find answers where they don't exist, and ruthlessly prioritize based on impact. Deep experience with healthcare data standards and integration engines is essential for success in this role.If you are a proactive problem-solver with a background in integration engineering, technical solution architecture, or a similar field—and you're excited to make an immediate impact - we would love to meet you.What You’ll Do:Gather integration requirements with Delivery leads, product managers, and customer engineers, then translate them into Flow Builder designs and specifications.Configure and build interfaces using Mirth Connect, FHIR and proprietary REST APIs, HL7 v2, X12 EDI, and client SQL / report based extracts.Own an active customer portfolio - planning, prioritizing, and communicating Delivery dates while balancing quick wins with quarterly roadmap work.Prototype and publish reusable “subflows” and connection templates that cut repeat work across customers.Write and run rigorous test plans, then shepherd code through staging and production with zero-defect expectations.Monitor platform performance, surface bottlenecks, and propose data-model or infrastructure changes that improve scale and reliability.Collaborate with the Connector Product Engineering pod on the integration roadmap, including planning for new feature enhancements, prioritizing bug fixes, and participating in backlog grooming.Partner with the Flow Builder Product Engineering pod to advocate for and advise on enhancements to the core flow building experience as a whole.Troubleshoot escalations, lead root-cause analysis, and guide customers through resolution steps.Mentor junior team members on integration patterns, project discipline, and healthcare data standards.What We’re Looking For:5+ years of experience in healthcare, focused on data integration, technical solution leadership, or adjacent engineering/product roles.Hands-on experience with at least one integration engine (Mirth, Rhapsody, Corepoint, IRIS, or similar).Comfortable reading and writing HL7 v2 or X12, querying data with SQL, and consuming REST / FHIR APIs.Professional coding background in JavaScript, TypeScript, or Python, plus familiarity with JSON and XML.Strong project ownership - you proactively surface risks, manage competing priorities, and deliver on commitments.Clear communicator who can explain complex concepts to both technical and non-technical audiences.Systems thinker who enjoys balancing immediate customer needs with platform scalability.Bonus Points:FHIR bulk-data know-how.Exposure to major EHR vendor APIs (e.g., Epic Showroom/Vendor Services, Oracle Cerner CODE, AthenaOne APIs).DevOps literacy (Docker, CI/CD).Experience migrating interfaces between different integration engines.Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. We're also one of the top ranking startups at https://leanaileaderboard.com/.About the RoleAs the founding Chief of Staff - Sales at Retell AI, you will define and own our enterprise sales strategy as we scale from $20M to $100M+ ARR. You will be directly responsible for closing high-value enterprise deals while building the systems, processes, and team to capture massive market demand. This is a unique, ground-floor opportunity to become Retell AI’s first sales leader, reporting directly to the CEO and shaping our go-to-market approach for years to come.You will join a fast-moving, product-led startup with deep enterprise interest and clear product–market fit, leveraging your proven track record in scaling complex B2B enterprise sales to build lasting customer relationships and create repeatable sales motions. You will have the autonomy to run deals end-to-end, experiment with new strategies, and directly influence both our growth trajectory and our company culture. For the right candidate, there is a clear path to a VP of Sales or CRO role as our enterprise organization expands.Key ResponsibilitiesEnterprise Sales Leadership: Build the enterprise sales motion and playbook from the ground up, creating scalable processes that leverage our PLG foundation while capturing high-value enterprise deals.Hands-On Deal Execution: Lead complex enterprise sales cycles end-to-end, personally closing strategic deals while setting the standard for the future sales team.Strategic Account Development: Develop and execute targeted ABM strategies, build deep relationships with key accounts, and create repeatable processes for enterprise acquisition and expansion.Revenue Operations: Use CRM, analytics platforms, and AI tools to automate workflows, improve pipeline visibility, and support high-velocity growth. Align sales and customer success to ensure consistent messaging and drive upsell and cross-sell opportunities.Collaboration with Leadership: Partner closely with the CEO to close and expand F500 enterprise accounts, refine the enterprise GTM strategy, and deliver regular KPI reporting to the leadership team..You Might Thrive If YouEnterprise Sales Leadership: 7+ years of enterprise sales experience, including leadership roles, with a proven track record in scaling B2B companies from $20M to $100M+ ARR or beyond.Quota Achievement: Consistent attainment of ambitious sales targets and demonstrated success in closing complex enterprise deals.Sales Expertise: Consultative and value-based selling approach with deep familiarity with the MEDDPICC sales methodology.PLG to Sales-Led Experience: Background in companies that evolved from PLG to sales-led motions, operating effectively in both environments. Examples include Vercel, Carta, Ashby, Vanta, Drata, Datadog, Snowflake, Canva, Asana, or Airtable.Team Leadership: Proven success leading high-performing enterprise sales teams and personally closing large, complex enterprise contracts.Hands-On Execution: Willingness to run deals end-to-end, not just manage others.Enterprise Sales Process Mastery: Deep experience with consultative, multi-stakeholder enterprise sales cycles.Growth Mindset: Strong passion for sales with a track record of improving sales strategies, processes, and operational efficiency during rapid growth.Product Savvy: Ability to understand and clearly communicate the value proposition of Retell AI and related AI technologies. Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: 220kEquity: 0.5%Commission: 80k - 180kLocation: Redwood City, CA, USUS Visas: Sponsors Visa & Green CardOther Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bill coveredCompensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options, no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract high performers.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, building scalable, impactful full-stack systems that redefine AI-driven communication.

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Your New Role and TeamSanctuary AI–a multi award-winning LinkedIn Top Startup company–is seeking an experienced Technical Program Manager, to work closely with the machine learning, software, and hardware engineering teams across Sanctuary AI. Reporting to the Chief Product Officer, the TPM will provide expertise and guidance while coordinating large cross-functional projects and schedules through initiation, operations, design and delivery. The best candidates for our TPM role have extensive hands-on project management skills and deep technical knowledge in an entrepreneurial environment. Your expertise will ensure high-quality, on-time, and budget-conscious outcomes, all while you experience professional growth opportunities that also make a significant company impact. Our Success CriteriaCollaborate with stakeholders and technical leads and establish execution strategies for successfully delivering strategic technical projectsIdentify and communicate risks to stakeholders, define risk mitigation strategies, and facilitate appropriate solutionsDefine success criteria and metrics on the project/initiatives to help teams make data-driven decisionsAchieve company-wide visibility as you present best practices for leading projects across cross-functional teams to various audiences, including non-technical audiences Your ExperienceQualifications 5+ years of relevant work experience in technical project and program management in a high performance environment.Proven ability to work efficiently to deliver large technical projects with multiple stakeholders, tight timelines and with evolving prioritiesDemonstrated ability to understand and discuss technical concepts, manage trade-offs, and evaluate technical solutions with internal and external partnersExperience using data and metrics to drive improvementsProven ability to foster a resourceful and creative approach to overcome obstacles and turn challenges into opportunitiesBachelor's degree in computer science, engineering, or equivalent experience in a related technical discipline in addition to project management certifications TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectivesSuccessful candidates will be a proponent of personal responsibility for themselves and their teammatesEmpathetic listener with conflict resolution capabilitiesConsistent bias for action, communication, and interpersonal savvySelf-motivated and able to solve problems independentlyMission driven and passionate about bringing human-like intelligence to machines

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At TensorWave, we’re leading the charge in AI compute, building a versatile cloud platform that’s driving the next generation of AI innovation. We’re focused on creating a foundation that empowers cutting-edge advancements in intelligent computing, pushing the boundaries of what’s possible in the AI landscape.DevOps Automation Engineer:We are seeking a Senior DevOps Automation Engineer to help scale and maintain the core infrastructure supporting large-scale AI workloads and managed Kubernetes environments. This role requires deep Linux expertise, hands-on experience with virtualization platforms, and a strong grasp of automation tools and CI/CD strategy.While primarily operational, this role also requires the ability to discuss architecture, improve tooling and automation pipelines, and collaborate across teams. You’ll work with technologies such as Proxmox, MAAS, Terraform, Packer, Ansible, and custom tooling to automate bare-metal provisioning, VM lifecycle management, and infrastructure configuration. Responsibilities:Automate bare-metal provisioning and VM lifecycle management using Proxmox, MAAS, and AnsibleDesign and implement infrastructure-as-code solutions using Terraform and PackerBuild and maintain CI/CD pipelines and automation frameworks using GitHub Actions and similar toolsSupport the lifecycle of Kubernetes clusters, including provisioning, upgrades, and integration with virtualization layersContribute to drift detection, image customization, and hardware configuration managementWrite and maintain scripts and tooling in Bash, Functional Python, and YAMLCollaborate with other engineers to improve system observability using Prometheus and related toolsParticipate in operational support, system debugging, and performance tuningRequired Skills & Experience:4+ years in DevOps, Infrastructure, or Systems Automation rolesStrong Linux experience, particularly with UbuntuProficiency with Ansible, Terraform, Packer, and CI/CD tools like GitHub ActionsExperience with virtualization platforms, particularly ProxmoxFamiliarity with bare-metal deployment tools such as MAAS or similarStrong scripting skills in Bash, Python, and YAMLWorking knowledge of Prometheus and infrastructure monitoring best practicesComfortable discussing infrastructure architecture and CI/CD strategiesNice to HaveExperience managing infrastructure for AI/ML workloadsFamiliarity with Kubernetes internals and cluster bootstrappingExposure to hardware management, PXE booting, and image customizationWhat We Bring:In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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About UsHippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.About the RoleWe are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in the Fort Myers, FL area and serve local and surrounding clients as needed. It will be required to travel onsite to the client's location regularly.ResponsibilitiesBuild and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource.Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes.Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success.Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations.Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns.Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences.Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies.Travel extensively to healthcare facilities for onsite support and training, and participate in strategic in-office sessions in Palo Alto.Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing.QualificationsMust-Have:A minimum of 5 years of health systems experience.Proven experience in customer success, account management, or project management.Ability to build relationships across an organization, from front-line staff to executives.Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements.Experience working with cross-functional teams in a fast-paced startup environment.Strong background in project management.Nice-to-Have:Experience with AI or technology adoption in healthcare.Advanced knowledge of healthcare workflows and compliance standards.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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Your impactHandshake is expanding into AI research and development, building a world-class network of expert Fellows - PhDs, researchers, and subject matter specialists - who contribute to cutting-edge AI through specialized research, model evaluation, and domain-specific applications. We’re looking for an entrepreneurial, systems-minded operator to serve as a Head of Strategic Projects - owning a delivery pod within Handshake AI. You’ll lead a 8+ person team, including managers and individual contributors, to drive execution across some of our highest-priority, high-velocity AI data initiatives.Each pod operates like its own mini-business within Handshake AI - you’ll be responsible for aligning cross-functionally with Product, Growth, and Research, running Weekly Business Reviews, and scaling operational excellence in a fast-changing, high-stakes environment.This is a high-impact, multi-dimensional leadership role where you’ll combine strategic thinking with hands-on operational rigor to unlock quality, throughput, and innovation at scale.This position is based in San Francisco or New York and this team is in the office five days a week.Your roleOwn and lead an AI Delivery Pod consisting of 8+ team members (managers + individual contributors) across complex, high-stakes data projectsRun Weekly Business Reviews tracking pod-level performance, driving alignment on metrics, and setting clear prioritiesOperate as a GM of your pod, responsible for business outcomes, throughput, quality, and operational P&LPartner cross-functionally with Product, Growth, and Research teams to execute against evolving data strategiesEnsure high quality delivery of AI training datasets by scoping projects, designing systems,Drive systems-level improvements to increase pod efficiency, quality, and scalabilityExperiment, iterate, and problem-solve in ambiguity, bringing structure and clarity to complex operational challengesDevelop the team through active coaching, building upon strengths and providing developmental feedback and opportunities to advance their professional careersFoster a high-performing culture built on close collaboration, transparency, and a commitment to operational excellence that elevates team standardsYour experience7+ years of professional experience in operationally intensive or execution-heavy environmentsAt least 2+ years of leadership experience managing teams; ideally including managing multi-layered teams (managers + ICs)Proven success driving cross-functional outcomes in ambiguous, fast-paced settingsMetrics-driven operator who can scale systems, improve throughput, and maintain high-quality standards at speedAbility to zoom in and out - comfortable with hands-on operational detail as well as strategic, systems-level thinkingStrong cross-functional fluency - you’ve worked closely with product, engineering, or growth teams to deliver on shared business goalsEntrepreneurial mindset, with experience either as a founder, early-stage startup operator, or someone who has taken ownership of end-to-end outcomes in a high-growth environmentTechnical fluency or a STEM background is a strong plusTraits we are looking forExcellent written and verbal communication skillsStrong sense of ownership and pride in their workTechnical background with fluency in programming languages and/or SQLHigh degree of agency - ideal candidate can thrive in ambiguityPassionate about / interested in AI (super user of LLMs, up-to-date on latest AI trends)Critical thinker / first principles approach to solving problemsData driven decision makerThoughtful about making decisions - doesn’t jump to conclusions without considering all potential variables/curve ballsThe drive and competitiveness to win in a rapidly growing marketPotential BackgroundsWe’ve seen success with candidates who have:Managed high-velocity data operations at AI companies or marketplace businessesFounded a company that achieved meaningful traction, network growth, or early revenue scaleWorked in early-stage startups in operational leadership roles with cross-functional business responsibilitiesSpent time in consulting or investment banking, then transitioned into ops/product leadership at startupsCompensation rangeBase cash comp from $225,000-$275,000Equity grant vested over 4 yearsSignificant performance-based bonuses in both cash and equityFor cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.About usHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.

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About UsHippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our TeamInnovative Mission: We are developing a safe, healthcare-focused large language model (LLM) designed to revolutionize health outcomes on a global scale.Visionary Leadership: Hippocratic AI was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from leading institutions, including El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA.Strategic Investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.World-Class Team: Our team is composed of leading experts in healthcare and artificial intelligence, ensuring our technology is safe, effective, and capable of delivering meaningful improvements to healthcare delivery and outcomes.For more information, visit www.HippocraticAI.com.About the RoleWe are seeking a Customer Success Executive with health systems experience to join our team. You will ensure that our clients achieve measurable outcomes through Hippocratic AI’s innovative solutions. You will have the opportunity to partner and report to the Chief Medical Officer. This role will sit remotely in the Tampa Bay, FL area and serve local and surrounding clients as needed. It will be required to travel onsite to the client's location regularly.ResponsibilitiesBuild and maintain strong relationships with healthcare staff and operational leaders, acting as a trusted resource.Lead product implementations, focusing on aligning solutions with nursing workflows and operational processes.Train nursing teams and other healthcare staff on the effective use of Hippocratic AI solutions, ensuring adoption and success.Identify opportunities to improve workflows and patient care outcomes using AI tools, particularly in bedside care and nursing operations.Manage day-to-day client relationships, ensuring seamless communication and addressing operational concerns.Collaborate with internal teams (product, sales, and engineering) to address client feedback and improve user experiences.Establish metrics to measure success, including patient care outcomes, team adoption rates, and operational efficiencies.Travel extensively to healthcare facilities for onsite support and training, and participate in strategic in-office sessions in Palo Alto.Collaborate with the nursing leadership team to share best practices from AI implementation and be comfortable presenting at conferences/webinars on the impact of AI in Nursing.QualificationsMust-Have:A minimum of 5 years of health systems experience.Proven experience in customer success, account management, or project management.Ability to build relationships across an organization, from front-line staff to executives.Strong understanding of the healthcare industry, specifically clinical workflows and regulatory requirements.Experience working with cross-functional teams in a fast-paced startup environment.Strong background in project management.Nice-to-Have:Experience with AI or technology adoption in healthcare.Advanced knowledge of healthcare workflows and compliance standards.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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Somite.ai is a venture-backed company transforming stem cell biology with AI. We recently raised over $47 million in a Series A funding round, bringing our total funding to about $60 million. Just as LLMs revolutionized human language, we’re decoding the language of cells—how they communicate and decide their fate—using vast amounts of in-house generated data. Our AI models enable precise control over cell behavior, unlocking the potential to engineer therapies for diseases like diabetes, neurodegenerative diseases, and muscular dystrophies. Our platform, DeltaStem, accelerates therapy creation and continually improves through data-driven insights.Founded by Dr. Micha Breakstone, a serial AI entrepreneur from MIT, and three Harvard Medical School professors, including the Chair of Genetics, Somite.ai is at the forefront of a new era in healthcare.Location: BostonClick the following links to learn more about Somite:https://x.com/SomiteAi/status/1922284999891472808https://www.forbes.com/sites/gilpress/2025/05/13/somite-ai-raises-47m-series-a-to-reinvent-cell-replacement-therapy/Click the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingAbout the Role:We seek a motivated and experienced molecular biologist to join our team to support development of our novel capsule technology. In this role, you will design, optimize, and execute strategies for custom barcoding and sequencing protocols to advance our understanding of cell differentiation. You will play a critical role in driving platform development, conducting high-throughput experiments, and collaborating cross-functionally with our AI team. This is a hands-on, lab-based position that requires strong technical expertise and the ability to work independently, while contributing to collaborative project goals.Responsibilities:● Design, execute, optimize and interpret platform development experiments● Maintain clear, organized records of experimental design, execution, and outcomes, with attention to detail and data integrity● Communicate findings to leadership● Present findings and experimental progress in internal meetings, adapting communication for both technical and cross-functional audiences● Collaborate closely with colleagues and leadership to advance development to support corporate goals● Share learnings, offer support, and help build a lab culture grounded in accountability, urgency, and team successQualifications:● Ph.D. in Molecular Biology, or a related field, with 5+ years of hands-on experience in single cell sequencing, novel molecular biology in biotechnology settings● Proven success in developing novel technologies● Proficiency in molecular and cell biology techniques, including single cell sequencing● Excellent communication skills, both written and verbal● Detail-oriented with strong documentation and organizational skills and the ability to work independentlyPreferred Qualifications:● Degree concentrations in molecular biology, developmental biology, and/or stem cell biology● Experience with technology development● Highly experienced in single cell sequencing● Prior experience in cell therapies and regenerative medicine● Background in team leadership● Comfortable operating in fast-paced, startup or early-phase biotech environmentsSomite.ai’s Core Values:● We show up – fully accountable, all-in, doing whatever it takes● We act with urgency – swift, decisive, proactive● We support one another – collaborative, helpful, empatheticClick the following link to Apply:https://jobs.ashbyhq.com/somite-ai?utm_source=LinkedIn+Manual+PostingBenefits:● Take a technical leadership role with a mission-driven company with the potential to significantly impact the lives of millions.● Work alongside a talented and passionate team at the forefront of AI and cellular biology.● Contribute to the development of groundbreaking therapies that address significant unmet medical needs.● Enjoy a competitive salary / benefits package and a collaborative work environment.Exceptional candidates who demonstrate outstanding capabilities and potential will be considered, even if they do not meet every qualification listed.Join us and help unlock the full potential of AI for the benefit of human health!