Find AI Work That Works for You

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs an Enterprise Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with law firms and other large enterprise clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work.What You'll DoDevelop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users. Achieve and exceed revenue targets and other key sales metrics.Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals.Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs.Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients.Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.What You HaveProven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently. Excited about prospecting, and capable of independently leading a sales cycle from start to finish. Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals.Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success.Please find our CA applicant privacy notice here.Compensation $330,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As a Project Lead at Labelbox, you’ll lead the execution of data labeling and evaluation projects that power AI development. You’ll coordinate across teams to ensure high-quality output is delivered on time and at scale. Employment Type: Project-based, paid hourly Your Impact Set up and manage evaluation workflows on the Labelbox platform Oversee contributor operations to meet production goals Drive quality control and assurance processes Monitor progress, troubleshoot issues, and communicate updates to stakeholders What You Bring 2–4+ years of project management or operations experience Native proficiency in German Strong organizational, communication, and problem-solving skills Detail-oriented with a focus on data quality and consistency Experience with productivity tools and/or data platforms preferred Bonus Points Familiarity with ML/AI data workflows Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Pay Range (rate per hour)$20—$35 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a growth engineer to join the founding team. Someone scrappy, who believes in getting a lot of iterations in fast, and someone who'd be excited about translating cutting-edge AI capabilities into elegant and reliable product experiences.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Improve the speed and quality of our engineering process.Design, implement and analyze experiments to drive user acquisition, activation, and retention.Own and develop both frontend and backend systems that support growth initiatives.Work closely with designers, product and AI engineers.Improve the speed and quality of our engineering process.What we’re looking for:Strong engineering skills, especially in the stack: React, Typescript, Python, AWS.Deep understanding of how the web / HTTP works.Experience working with large distributed systems.High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Strong product intuitions. Passion to get the details right.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the team You will work on the team that is responsible for the backend services that power grok.com and our API. Our team is currently based primarily in London with a small but growing number of engineers located in Palo Alto. We focus on writing highly scalable and reliable services that can efficiently process tens of thousands of queries per second. The entire backend stack is written in Rust. About the role An ideal candidate meets at least the following requirements: Expert knowledge of either Rust or C++, Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems, Knowledge of service observability and reliability best practices, Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB. Additionally, any of the below points will help a candidate stand out: Expert knowledge of Python, Experience with Docker, Kubernetes, and containerised applications, Expert knowledge of TypeScript, Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping). Locations We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews: Coding interview in Rust or C++. Distributed systems design interview. All interviews will be conducted via Google Meet. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team You will work on the team that is responsible for the frontend services that power grok.com and our API. Our team is distributed across London and Palo Alto. We focus on implementing highly performant user interfaces that are delightful to use. We primarily use React with NextJS for rendering. About the Role An ideal candidate meets the following requirements: Expert knowledge of TypeScript and React, Expert knowledge of Tailwind, Expert knowledge of best practices regarding performance, accessibility, and frontend security. Additionally, any of the following qualifications may help a candidate stand out: Experience in advanced web technologies such as WebGL, WebSockets, WebAssembly, web workers, and PWAs, Experience in UI and UX design, Experience in implementing sophisticated CSS animations. Experience with Kubernetes. Location We hire engineers in London and in Palo Alto. We usually work from the office 5 days a week but allow for work-from-home days when required. Candidates joining the London team must be willing to attend late meetings at least once a week to coordinate with the rest of our team. Interview process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of two technical interviews: Coding interview in TypeScript: Write a small app in React HTML/CSS interview: Given a screenshot of a UI, implement it All interviews will be conducted via Google Meet. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About the TeamThe Finance Platform & Technology team at OpenAI builds and scales the future-proof systems and data architecture that power our core financial operations. We enable business agility, compliance, and operational excellence across quote-to-cash, procure-to-pay, inventory, and asset management for both B2B and B2C. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows—empowering smarter decisions, reliable reporting, and sustainable growth as OpenAI evolves.About the RoleAs the Enterprise Product Manager for Core Financials, you’ll be a critical partner to the accounting team, ensuring the General Ledger’s (GL) accuracy, timeliness, and integrity across monthly, quarterly, and year-end close cycles. You’ll work cross-functionally and own Oracle Fusion Financials configuration and support, resolve close-impacting issues, and drive enhancements that streamline workflows and improve reporting reliability.This role demands hands-on Oracle Fusion expertise (especially in GL, Subledger Accounting, and Financial Reporting Center modules), a strong understanding of accounting workflows, a sharp eye for financial process optimization, and the ability to translate system behavior into actionable insights for the business.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Serve as the Oracle Fusion close and consolidation application administrator and subject matter expert.Address complex issues within Oracle Fusion, particularly those impacting the General Ledger and close processes.Be a key partner to Accounting during monthly, quarterly, and year-end close cycles.Monitor and apply emerging trends in finance systems, with a focus on Oracle Fusion capabilities.Support the development and delivery of scalable solutions that improve financial operations and reporting accuracy.Stay current on best practices in systems training, support models, and user enablement techniques.Collaborate cross-functionally to identify opportunities for automation and optimization within financial workflows, including leveraging AI capabilities.You might thrive in this role if you have: 6+ years in financial systems or ERP support, with 2+ years in Oracle Fusion.A strong understanding of accounting processes and a passion for streamlining business processes.Experience partnering with Accounting or Controllership teams on systems issues and reporting improvements.Familiarity with subledger-to-GL data flows, business process configurations, and Oracle Fusion best practices.The ability to translate complex system behavior into actionable insights for Accounting stakeholders.Comfort navigating Oracle Fusion configuration and supporting user requests related to chart of accounts, journal entries, and financial reports.A collaborative working style and strong communications skills across diverse stakeholders (i.e. Accounting, IT, and Systems teams).A proactive mindset and interest in applying AI to streamline finance operations.A curiosity for finance technology and stay current on new features, updates, and best practices in ERP and close optimization.Bachelor’s or Master’s in Computer Science, Information Systems, Accounting, or equivalent experience.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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!At Snorkel AI, we are pioneering new approaches to data development. Are you driven by solving challenging problems and delivering exceptional results? Snorkel AI is seeking a Production Manager. As a Production Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact. You’re Excited About This Opportunity Because You Will: Collaborate with Technical Delivery Managers to meet project timelines, deliverables, and quality standards. Engage with Expert Contributors to ensure high-quality datasets are delivered to customers. Conduct quality reviews to maintain data annotation accuracy and consistency. Monitor pipeline health and implement proactive solutions to prevent bottlenecks. Track project progress and performance through data analysis and reporting. Develop documentation for labeling guidelines and operational processes. Partner with stakeholders across teams to resolve blockers and sustain production efficiency. Provide regular updates to stakeholders on progress and key insights. We’re Excited About You Because You Have: Proficiency with Google Workspace tools and strong data analysis skills. A proactive, results-driven mindset with creative problem-solving abilities. Adaptability to excel in a fast-paced, dynamic environment. Excellent written and verbal communication skills in English. Experience working with technical and non-technical stakeholders. The ability to work independently and collaboratively in a remote setting. Bonus Points For: Familiarity with data annotation pipelines and machine learning workflows. Experience with SQL or other database languages. Strong analytical and process improvement capabilities. A degree in an analytics-focused field (e.g., Engineering, Economics, Business) or an interest in Computer Science, Statistics, or Data Analytics. This is a full-time, 6-month fixed-term position with Snorkel AI. Assuming we find a mutual fit, there is potential for conversion to a permanent position based on business needs and individual performance. Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Fixed-term offers from Snorkel also include benefits (including medical, dental, vision and 401(k)). Pay Range: $80,000-$120,000.Salary Range $80,000—$120,000 USDBe Your Best At Snorkel   Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.   Snorkelers are supported by an amazing team and an amazing set of benefits. For Full-time employees, we offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future and our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more — like our workstation setup allowance — on our Careers page.   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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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.RoleAs an Enterprise Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with law firms and other large enterprise clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work.ResponsibilitiesDevelop and manage a named account list and be responsible for the full sales cycle from prospecting to contracting to onboarding, launching, and growing new users. Achieve and exceed revenue targets and other key sales metrics.Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals.Build strong, long-term relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs.Conduct product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients.Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.QualificationsProven track record of selling complex software solutions to enterprise clients, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work and interest in the legal profession and helping lawyers do their jobs better and more efficiently. Excited about prospecting, and capable of independently leading a sales cycle from start to finish. Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals.Energized by contributing to the development of our sales processes and team-driven sales culture, refining the value proposition of our solutions and creating sales resources to drive our success.Compensation Range$330,000 USDHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleAs the Program Manager, Clinician Onboarding you will play a critical role in shaping how clinicians at our partner organizations are introduced to and trained on our technology. You will be responsible for designing and executing a best-in-class onboarding and training experience that drives clinician engagement, adoption, and long-term success. This is a highly strategic and collaborative role that requires a passion for user experience, education design, and operational excellence.You will lead the development and execution of our end user training programs and own the full curriculum lifecycle—from strategy and content creation to delivery and measurement. By delivering consistent and effective training programs tailored to the clinician journey, you’ll help ensure our technology has a lasting and meaningful impact on clinical workflows.What You'll DoStrategy and Program LeadershipOwn and lead the clinician onboarding and end user training programs across all implementations.Develop and refine the onboarding strategy tailored to clinician roles and points in the customer journey.Partner with the Partner Experience team to design scalable, high-touch resourcing models that meet partner needs, reduce effort on our partners, and improve clinician ramp up times.Curriculum Development and Content ManagementDesign and maintain a comprehensive curriculum for clinician training, across all formats (i.e. live, virtual, and self-serve)Ensure content is up-to-date, clinically relevant, and aligned with evolving product functionality and customer workflows.Collaborate cross-functionally with teams like Product, Product Marketing, and Customer Operations to maintain content accuracy and alignment.Technology & ToolingImplement and manage a Learning Management System (LMS) to support scalable, efficient clinician onboarding.Leverage technology and data to deliver, track, and continuously improve training content and engagementContinuous Improvement and Clinician ExperienceDevelop frameworks to constantly evaluate training effectiveness through feedback loops, engagement metrics, and adoption outcomes, reporting to Partner Experience leadership regularly.Iterate on the onboarding model to raise the bar on clinician satisfaction, adoption, and long-term retention.What You'll Bring4+ years of experience in clinician training, enablement, or onboarding, ideally in a health tech, healthcare delivery, or clinical education setting.Experience implementing or managing a Learning Management System (LMS).Strong understanding of adult learning principles and clinician workflows.Exceptional communication and interpersonal skills, with a proven ability to build trust and rapport.Excellent communication and cross-functional collaboration skills.Experience developing training strategies and content across live and self-guided learning formats.Passion for improving healthcare through better technology adoption and clinician experience.Bonus Points If...You have familiarity with EpicWhy Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What you’ll DoJoin a team of industry-leading experts and work alongside the best minds in the fieldCollaborate with top-tier professionals who are shaping the future of the industryDesign and build foundational Linux security features and infrastructure that protect AI/ML workloads running across thousands of GPUs on modern cloud platformsDevelop security capabilities for containerized and virtualized environments, including secure boot, system hardening, kernel integrity monitoring, and isolation technologies YouLinux Security Expertise – 8+ years of experience with Linux-based production systems, with a strong focus on security at the OS and kernel level (e.g., SELinux, AppArmor, seccomp, namespaces, cgroups, integrity measurement, and TPM).Kernel & Hardening – Deep understanding of Linux kernel internals and experience securing kernel subsystems (e.g., syscall filtering, LSMs, audit frameworks, eBPF for security observability).Cloud & Infrastructure Security – Experience building or securing core cloud infrastructure (e.g., secure virtualization/KVM/QEMU, hardened images, secure boot, confidential computing, software-defined perimeter, network segmentation, firewalling, identity and access management).Security Architecture – Ability to design and implement end-to-end security architectures for large-scale, distributed systems. Familiarity with threat modeling, risk analysis, and mitigation planning for both x86_64 and aarch64 platforms.Programming Languages – Strong background in C with experience writing secure, high-performance code. Familiarity with Rust, Python, and Go is a plus. Strong track record of delivering security-critical systems from concept to production.Education – Background in computer science, cybersecurity, electrical engineering, or a related field. You will be successful in this role if you haveHave led and taken full ownership over large, ambiguous, cross team projects from conception to productionEnjoy moving fast and making a large business impactValue working on a team of high performers that hold each other accountableAre a self-starter, curious, and not afraid to ask when in doubtAre a quick learner, enjoy learning new technologies and methodologiesValue working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a teamCare deeply about well-tested code Salary Range InformationBased on market data and other factors, the salary range for this position is $255,000-$405,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What you’ll DoJoin a team of industry-leading experts and work alongside the best minds in the fieldCollaborate with top-tier professionals who are shaping the future of the industryBuild core cloud features like Virtualization, SDN, Storage, VPCs for training AI/ML models across thousands of GPUs interconnected with state-of-the-art networking fabricYouLinux - 8+ years developing Linux based production systems. Strong understanding of Linux kernel internals (e.g. Memory Management, Process Scheduling, I/O Scheduling, Socket Buffers, Virtualization/KVM, Live Migration, eBPF, perf).Cloud - 8+ years developing core public cloud internals (e.g. Kernel, Device Drivers, Virtualization, KVM, QEMU, Software Defined Networking, Security, Fleet Health and Performance Monitoring).Architecture - Ability to architect a resilient, large-scale, distributed system from a blank sheet of paper. Have a deep understanding of x86_64, aarch64 and GPUs.Programming Languages - Strong C background. Rust, Python and Go are nice to have. Minimum of 8 years implementing business-critical systems, from initial conception to successful launch.Education - Computer science, electrical engineering, mathematics, or physics preferredYou will be successful in this role if you haveHave led and taken full ownership over large, ambiguous, cross team projects from conception to productionEnjoy moving fast and making a large business impactValue working on a team of high performers that hold each other accountableAre a self-starter, curious, and not afraid to ask when in doubtAre a quick learner, enjoy learning new technologies and methodologiesValue working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a teamCare deeply about well-tested codeSalary Range Information Based on market data and other factors, the salary range for this position is $255,000-$405,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. The Opportunity Reporting into our Head of Engineering, you will be accountable for delivering consistent and long-term customer value from Union. We are looking for team members who are innately curious, get joy out of solving complex technical problems, and thrive in collaborative, self managed environments. The ideal candidate has demonstrated ability to independently debug and troubleshoot issues across the entire infrastructure stack and manage technical operations. Bonus points if you have been a part of or contributed to the Flyte/Union communities or contribute or other OSS. In this role, you will:Resolve, triage, or escalate customer workflow issues by diagnosing platform/infrastructure vs. user code problems.Drive retention and increase adoption of Union by developing deep knowledge of our customers’ business objectives and technical solutions i.e. use cases, infrastructure configuration, integrations, etc.Partner with Engineering, Product, Sales, Customer Solutions to represent the voice of the customer, highlighting customer pain points and challenges in the adoption the platform.Collaborate with our Documentation team to develop and maintain customer-facing documentation, FAQs, common customer issues, best practices, etc.Represent the voice of the customer in product design, solution, and prioritization conversations.Learn, contribute to, and champion the Flyte open-source workflow orchestration system (see https://slack.flyte.org), as well as related Union managed services. Educate technical users on Union products.Own meeting support KPIs and SLAs by implementing and managing expectations, processes, and tooling for customer support.Collaborate with Customer Success to maintain a cadence of communication with customers about their adoption trends, sentiment, and opportunities for deeper engagement.About you:3+ years of Data or Software Engineering background with a strong understanding of public cloud technologies, containers and ML/data infrastructure.You have strong Python programming skills and are able to debug code. Go experience is a plus.Customer obsession. You take pride in solving customers' technical problems and have demonstrable experience supporting both SMB and enterprise customers with infrastructure products and solutions. You have used or supported machine learning enabled solutions and/or MLOps/DevOps in an enterprise setting.You have an awareness (or strong interest) of the latest trends in the broader machine learning and data orchestration fields.Possess excellent written and verbal communications skills, with a tone that conveys empathy.Familiarity with data processing, ML systems, MLOps and Machine Learning infrastructure components.Familiarity with Spark, Airflow, Tensorflow, Pytorch and other ML libraries are helpful, as is a grounding in the fundamentals of distributed systems.Benefits & BelongingAt Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on countryExcellent medical - We pay 100% of your premiums and 90% for your dependentsGenerous dental and vision plans- We pay 90% of the premiums for you and your dependentsMeaningful equity in the form of options – all employees are owners hereUnlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%16 weeks paid parental leave for primary and secondary caregiversFlexible work schedule (some restrictions apply)For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

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Ready to be a part of something big? Join our team at SoundHound AI, where AI innovation and real-world impact come together. We unite voice AI, generative AI, and conversational AI to deliver powerful AI solutions that reimagine how people interact with the products and services they rely on. Whether it’s voice-enabling vehicles, streamlining patient journeys, or enhancing customer service, our multilingual, omnichannel AI technology touches the lives of hundreds of millions of people around the world. The Senior Cognitive Implementation Engineer is a core member of the agile teams implementing cognitive solutions. These cognitive solutions are to be fit-for-purpose, efficient, and of high quality.  The responsibility of the Senior Cognitive Implementation Engineer is to build and implement new cognitive functionalities based on extensive Transversal Analysis and Architecture blueprint for clients. In this role, you will: Responsible for configuring cognitive modules of Amelia – or creating new customized modules with help of Product Engineering – to ensure Amelia can address required functionality Review outcome of the Transversal Analysis and target Architecture blueprint Configure (‘train’) Amelia for the agreed use cases Test Amelia against concrete cases and implement refinements Discuss with Technical Architect and Cognitive Project Leads approaches to each technical challenge and agree on technical solution Develop and test each module functionally until it reaches expected behavior Work with integration experts to connect developed functional solutions to the Automations that communicate with back-end systems After project execution, review ‘structural’ changes and developed APIs and decide with R&D if any should be standardized in Amelia Reuse APIs and automatas or create new APIs and automatas to integrate Amelia with relevant client systems and security framework Create agile work plan for agreed functionality and validate with cognitive project lead Configure Amelia ontologies to address required functionality in agile sprints Create reusable Amelia ‘modules’ (e.g. BPNs) in local language Create reusable Amelia ontologies in local languages Stress test new/modified pieces to ensure they can withstand technical end user requirements We would love to hear from you if: Have 5 years of experience with Java, JavaScript, and/or Groovy Scripting and a Bachelor’s Degree in Computer Science or equivalent (or 3 years of experience with a Master’s Degree). We’d be especially excited if you bring excellent problem-solving, analytical thinking, and communication skills, along with a flexible mindset, a can-do attitude, and a strong eagerness to learn. Experience with implementations at an enterprise scale would be a significant plus. This position is available for remote work across most of the United States. SoundHound AI DOES NOT offer employment in Alabama, Alaska, Delaware, Iowa, Maine, Mississippi, New Hampshire, North Dakota, Rhode Island, South Carolina, Vermont, West Virginia, Wisconsin, and Wyoming. Regardless of workplace arrangement, employees within a 60-mile radius of a SoundHound AI office are expected to work from the office on three pre-scheduled, company-wide “core days” per month to encourage cross-team connection and in-person collaboration. The estimated salary for this position is $120,000 - $140,000 plus equity. In addition to salary and equity, you will receive comprehensive healthcare, paid time off, and other benefits. Our recruiting team will provide a specific salary range based on location and years of experience. Please note that if your application is advanced, the initial step will be an invitation to partake in a pre-assessment. ______________________ By working at SoundHound AI, you will join hundreds of employees across the globe who strive every day to create exceptional AI-powered experiences for customers, employees, and patients. We are a values-driven company that is supportive of one another, open and honest, undaunted by challenges, nimble and focused, and determined to excel and win. Our mission is to build voice AI for the world and use our global, diverse perspectives to achieve real generational breakthroughs. SoundHound ensures that individuals with disabilities are provided reasonable accommodations to participate in the interview process, perform essential job functions, and receive other employment benefits. Learn more about our philosophy, benefits, and culture at https://www.soundhound.com/careers.  To view our job applicant privacy policy, please visit https://static.soundhound.com/corpus/ta/applicantprivacynotice.html.   #LI-REMOTE #LI-MQ1

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. Lambda Security protects some of the world's most valuable digital assets: invaluable training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best of breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence. As a Staff Security Engineer, you'll be the technical backbone of our security program, building and implementing security solutions that directly protect customer data and enable Lambda to be the safest place to build with AI. Reporting to the Senior Manager of Security and collaborating closely with Product Engineering, Platform Engineering, and embedded Technical Program Managers, you'll drive hands-on security improvements across our AI-focused infrastructure. Your work will span detection and response systems, vulnerability management, security architecture, and tooling that scales with our rapid growth while maintaining the highest security standards. You will work on implementing enterprise-grade detection capabilities, automating incident response workflows, hardening our multi-cloud and bare metal infrastructure, and establishing security tooling that positions Lambda as the industry's most trusted AI computing platform. You'll have unique access to LLMs hosted on our own infrastructure to pioneer AI-powered security solutions that wouldn't be possible anywhere else. If you thrive on solving complex security challenges in cutting-edge AI infrastructure and want to build security programs that scale from hundreds to thousands of systems, we'd love to talk. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for a Security Technical Program Manager role. You cannot waste our time.What You’ll DoDrive Security Improvements: Design and implement comprehensive security solutions including detection capabilities, automation, and endpoint detection and response (EDR) across Lambda's infrastructure.Lead Incident Response: Drive critical security incident resolution, developing response automation and conducting post-incident reviews that strengthen our security posture.Develop Security Architecture: Create security architecture patterns and implementation guides that engineering teams can adopt to build secure-by-default systems.Build Detection & Response: Implement and tune SIEM/SOAR solutions, creating detection rules that identify threats while minimizing false positives.Pioneer AI-Powered Security: Leverage Lambda's hosted LLMs to build next-generation security capabilities including automated threat analysis, intelligent alert correlation, and AI-assisted incident response that push far beyond traditional approaches.Collaborate Across Engineering: Partner with Product and Platform Engineering teams to integrate security requirements into their development cycles at optimal moments.Mentor Security Excellence: Coach engineers across the organization on secure coding practices and security tool usage, multiplying your impact.Drive Vulnerability Management: Establish and operate vulnerability scanning, prioritization, and remediation programs that protect critical assets.Develop Security Tooling: Build security tools and automations that enable teams to maintain security standards without sacrificing development velocity.Advocate for Security: Communicate security value to stakeholders, translating technical risks into business impact for informed decision-making.YouHave 5+ years of hands-on security engineering experience and 10+ years of total engineering experience, with demonstrated impact protecting enterprise infrastructure.Thrive in high-speed, high-ambiguity startup environments where you build security programs while responding to immediate threats.Deep technical expertise with security tooling including SIEM/SOAR platforms, EDR solutions, vulnerability scanners, and cloud security monitoring.Excel at solving complex problems in Python, Go, or similar languages, building automations that scale security impact.Proven ability to work effectively with cross-functional technical teams both with and without authority (we're all on the same team!).Strong Linux systems experience in both bare metal and cloud environments, understanding infrastructure from kernel to application layer.Demonstrated experience driving security improvements that were enthusiastically adopted by engineering teams.Excellence at translating security concerns into business risk, enabling stakeholders to make informed decisions.If you do not meet all of these requirements but believe you may be a good fit, please still apply and provide a cover letter that helps us understand your readiness for a staff security engineering role.Nice to HaveYou've led or developed major components of enterprise security programs (detection & response, vulnerability management, security architecture, security tooling).Experience driving or providing significant evidence for compliance audits, such as SOC 2, ISO 27001, PCI-DSS, HIPAA/HITECH, or FedRAMP.Deep experience working with virtualization solutions such as KVM, Hyper-V, or Xen in production environments.Significant experience operating large-scale production services (SRE experience across thousands of hosts).You've built or deployed critical security infrastructure like SIEM solutions, canaries/honeypots, IDS/IPS, or custom detection platforms.Security certifications like CISSP, OSCP, or similar that demonstrate continued learning.Experience with AI/ML infrastructure security or protecting high-value computational workloads.Excitement about leveraging our direct access to state-of-the-art LLMs to revolutionize security operations—imagine AI-powered threat hunting, automated security report generation, and intelligent vulnerability prioritization at a scale only possible when you host the AI infrastructure yourself.Salary Range InformationBased on market data and other factors, the annual salary range for this position is $350,000-$500,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About UsAt Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft. The Opportunity Reporting into our Head of Engineering, you will be accountable for delivering consistent and long-term customer value from Union. We are looking for team members who are innately curious, get joy out of solving complex technical problems, and thrive in collaborative, self managed environments. The ideal candidate has demonstrated ability to independently debug and troubleshoot issues across the entire infrastructure stack and managed technical operations. Bonus points if you have been a part of or contributed to the Flyte/Union communities or contribute or other OSS.  In this role, you will:Resolve, triage, or escalate customer workflow issues by diagnosing platform/infrastructure vs. user code problems.Drive retention and increase adoption of Union by developing deep knowledge of our customers’ business objectives and technical solutions i.e. use cases, infrastructure configuration, integrations, etc.Partner with Engineering, Product, Sales, Customer Solutions to represent the voice of the customer, highlighting customer pain points and challenges in the adoption the platform.Collaborate with our Documentation team to develop and maintain customer-facing documentation, FAQs, common customer issues, best practices, etc.Represent the voice of the customer in product design, solution, and prioritization conversations.Learn, contribute to, and champion the Flyte open-source workflow orchestration system (see https://slack.flyte.org), as well as related Union managed services. Educate technical users on Union products.Own meeting support KPIs and SLAs by implementing and managing expectations, processes, and tooling for customer support.Collaborate with Customer Success to maintain a cadence of communication with customers about their adoption trends, sentiment, and opportunities for deeper engagement. About you:3+ years of Data or Software Engineering background with a strong understanding of public cloud technologies, containers and ML/data infrastructure.You have strong Python programming skills and are able to debug code. Go experience is a plus.Customer obsession. You take pride in solving customers' technical problems and have demonstrable experience supporting both SMB and enterprise customers with infrastructure products and solutions. You have used or supported machine learning enabled solutions and/or MLOps/DevOps in an enterprise setting.You have an awareness (or strong interest) of the latest trends in the broader machine learning and data orchestration fields.Possess excellent written and verbal communications skills, with a tone that conveys empathy.Familiarity with data processing, ML systems, MLOps and Machine Learning infrastructure components.Familiarity with Spark, Airflow, Tensorflow, Pytorch and other ML libraries are helpful, as is a grounding in the fundamentals of distributed systems.Benefits & BelongingAt Union.ai we know that employees who feel their best can build amazing things and we are proud to offer best in class benefits that will continually evolve and grow as the needs of our employees do. Benefits may vary based on countryExcellent medical - We pay 100% of your premiums and 90% for your dependentsGenerous dental and vision plans- We pay 90% of the premiums for you and your dependentsMeaningful equity in the form of options – all employees are owners hereUnlimited time off + 12 company holidays 401K match - Union.ai matches 100% of contributions up to the first 3%, and 50% up to 5%16 weeks paid parental leave for primary and secondary caregiversFlexible work schedule (some restrictions apply)For in office employees: Lunch provided onsite and well stocked kitchen with snacks and drinks. We believe that our differences are what bring us together to achieve truly special outcomes. We strive to be inclusive and focus on building teams that embody that quality too. Union.ai is an equal-opportunity employer and we encourage you to apply, even if your experience doesn’t align exactly with our job description.

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About Freight Hero:Freight Hero is an AI startup backed by Andrew Ng's AI Fund and Dynamo Ventures that is bringing an innovative business model to the freight brokerage industry. As one of the key segments of the US supply chain that is mired with manual, automatable processes, freight brokerage is a prime industry for AI deployment. Our founder is seeking a dynamic and entrepreneurial Founder's Associate to join Freight Hero as one of its first hires. In this high-impact role, you will work directly with the founder to own critical projects such as financial projections, sales enablement, marketing strategy, as well as support business operations and lead strategic initiatives across finance, marketing, sales, and internal systems. You’ll gain hands-on experience in all facets of building a tech-driven company from the ground up. This is a unique opportunity for someone who wants to break into the venture capital or startup ecosystem, and who thrives in fast-paced, high-growth environments. What You Will Be Doing:Own and build detailed financial models and projections.Monitor and report on budget performance, including actual vs. forecast.Prepare investor-ready financial updates and internal dashboards.Develop and implement lead generation strategies.Manage and optimize marketing automation campaigns.Use CRM and outreach tools such as Apollo, HubSpot, and Salesforce.Support messaging, positioning, and sales pipeline development.Coordinate and execute strategic cross-functional initiatives.Support operational planning, tooling, and process improvements.Identify and implement AI tools to streamline internal workflows. What You Must Bring:3+ years of experience in consulting, investment banking, or a high-growth startup.Business major, MBA candidate or equivalent.Strong financial modeling and analytical skills; comfortable owning projections and fin ops.Experienced with CRM and sales outreach platforms (e.g., Apollo, HubSpot, Salesforce).Technically curious and eager to explore AI-enabled business tools.Highly organized, detail-oriented, and capable of managing multiple workstreams.Fast learner with a proactive, problem-solving mindset.Excellent communication and interpersonal skills.Comfortable operating in an environment with ambiguity and rapid change. Why Join Us?Work side-by-side with an experienced, exited founder.Get in on the ground level of a VC backed startup with enormous upside potential.Own critical financial and operational workstreams from day one.Gain diverse exposure across all business functions in a pre-revenue startup.Be at the forefront of AI, logistics, and early-stage innovation.Accelerate your career trajectory in startups or venture capital.

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Get to Know UsHorizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. About the RoleWe are seeking a skilled and detail-oriented Technical Writer to join our product and engineering organization. In this role, you will collaborate with engineers, product managers, and customer success teams to produce high-quality documentation that enables users to understand, deploy, and gain value from our cybersecurity SaaS platform. You will be responsible for creating and maintaining user guides, API documentation, release notes, and internal knowledge articles that support a fast-paced development lifecycle and complex technical subject matter.This role also benefits from an AI-aware mindset—curiosity, experimentation, and practical exposure to AI tools or methods that support content creation, delivery, or user enablement are valuable attributes.Key ResponsibilitiesDevelop, organize, and maintain customer-facing documentation including product guides, API references, integration instructions, and feature release notes.Translate complex cybersecurity and SaaS concepts into clear, concise documentation tailored to both technical and non-technical audiences.Partner with engineers, product managers, and SMEs to proactively gather information, understand feature intent, and validate technical accuracy.Participate in Agile ceremonies to align documentation delivery with product release cycles.Maintain a scalable, version-controlled documentation infrastructure using tools like Git, MkDocs, and static site generators.Design and refine a consistent documentation style guide across all channels and teams.Identify and explore opportunities to leverage AI-driven tools (e.g., content suggestion systems, prompt-based authoring tools) to enhance documentation workflows and content quality.Contribute to the creation of intelligent user assistance, AI-generated help content, and internal documentation automation pipelines.Support internal enablement through the development of knowledge base articles, onboarding materials, and contextual support content.QualificationsRequired:5+ years of experience as a technical writer for B2B SaaS or developer-facing cybersecurity products.Demonstrated experience documenting APIs, infrastructure platforms, or security tools.Proficiency in Markdown, Git workflows, Swagger/OpenAPI, and static site generators.Javascript/CSS Basic Proficiency - to tweak static site generator appearanceAbility to read and explain code snippets in formats such as YAML, JSON, Bash, or Python.Excellent written communication and attention to detail. Preferred:Familiarity with cybersecurity practices such as penetration testing, vulnerability scanning, and zero trust architectures. Experience writing content for compliance-heavy platforms (FedRAMP, SOC 2, ISO 27001). Exposure to or use of AI-enabled documentation workflows or authoring tools.AI Experience and MindsetWe value candidates who demonstrate a thoughtful and forward-looking approach to artificial intelligence. In this role, curiosity, experimentation, and practical exposure to AI-enhanced workflows are important attributes.Ideal candidates should show an interest in applying AI to improve documentation processes, user experiences, or product education. Whether through direct integration of AI tools, participation in AI-related projects, or informed perspectives on responsible AI usage, we look for individuals who:Understand emerging AI capabilities and how they might be applied to improve scale, quality, or efficiency in technical content.Have explored or adopted AI tooling in their workflows, such as content suggestion systems, automated documentation, or intelligent help systems.Are comfortable engaging in conversations about AI's benefits and trade-offs, including performance, cost, fairness, and data security.Exhibit curiosity and openness to learning about the evolving role of AI in software, cybersecurity, and knowledge delivery.We recognize that AI maturity comes in many forms—what matters most is a proactive mindset, a willingness to learn, and the ability to connect AI opportunities to real-world outcomesWhy Join UsAs a Technical Writer on our team, you will play a key role in ensuring our customers are equipped to securely and effectively use our product. You will help shape the future of user-facing content by contributing to scalable documentation systems, AI-enhanced workflows, and high-impact knowledge delivery. This is a unique opportunity to work at the intersection of cybersecurity, SaaS, and applied AI in a mission-driven, growth-oriented environment.Perks of Horizon3.aiInclusive Team: We value diversity and promote an inclusive culture where everyone can thrive.Growth Opportunities: Be part of a dynamic and growing team with numerous career development opportunities.Innovative Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking.Remote Work: We are a 100% remote company. Enjoy the convenience and work-life balance that comes with remote work. Competitive Compensation: We offer competitive salary and benefits which includes health, vision & dental care for you and your family, a flexible vacation policy, and generous parental leave. Compensation and ValuesAt Horizon3, we believe that our people are our greatest asset, and our compensation philosophy reflects this core value. We are committed to fostering an environment where all employees feel valued, respected, and rewarded for their contributions. Our compensation structure is designed to be fair, competitive, and transparent, ensuring that every team member is recognized and compensated equitably across roles, levels, and locations.In accordance with various State’s transparency regulations, we provide the following salary range information for this position:Base salary range: $170,000 - $215,000 annually. The exact salary will be determined based on the selected candidate’s location, qualifications, experience, and relevant skills.Additional compensation: This role may also be eligible for an equity package (in the form of stock options). If any other compensation benefits apply, they will be discussed during the interview process.You Belong HereHorizon3 is not just an equal opportunity employer - we are a community that values diversity, equity, and inclusion as fundamental principles of our culture and success. We are dedicated to fostering a workplace where everyone feels welcome and respected, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, or any other legally protected status by law.Our commitment to diversity and inclusion means we strive to attract, develop, and retain a workforce that reflects the varied communities we serve. We believe that diverse perspectives drive innovation and strengthen our ability to create cutting-edge cybersecurity solutions. At Horizon3, every team member is valued and supported in an environment that encourages personal and professional growth.We welcome candidates from all backgrounds and experiences, and we encourage all qualified individuals to apply. Come be a part of Horizon3, where your unique contributions are recognized, and your potential is limitless.Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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Seeking a Program Manager to lead a Direct Commercial Sale program for an international customer which will deliver transformative unmanned aerial vehicle (UAV) systems.  

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What We Are Looking ForAs an AI Strategist Lead, you will lead Distyl’s most complex, high impact customer engagement end-to-end. Partnering a senior technical leader, you’ll oversee a multidisciplinary team of engineers, researchers, and AI Strategists to deliver enterprise-scale outcomes that fundamentally transform how our customers operateYou’ll work directly with C-suite and senior executives at Fortune 500 companies, helping them scope and shape AI -native strategies, and drive adoption of new workflows. You will be accountable not just for delivery, but for measurable business impact, long-term value creation, and building trusted executive relationships.You’ll shape the vision, drive execution, and influence our product roadmap by representing the voice of our most strategic customers. This role is ideal for someone with a rare blend of operational rigor, customer obsession, and strategic clarity - who thrives in ambiguity, leads with influence, and is passionate about AI.Key ResponsibilitiesExecutive Engagement: Build trust with senior stakeholders, including C-suite and VP-level sponsors. Align on business priorities and act as a strategic thought partner.End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery. Define success, design the roadmap, and measurable outcomes.AI Strategy & Value Discovery: Identify the most valuable problems to solve and aligning solutions to ROI. Team Leadership: Jointly lead teams of 10+ engineers, researchers, AI Strategists and program managers. Set clear goals, foster a high-performing team culture, and manage cross-functional execution.Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards. Navigate complex enterprise environments and drive cross-functional dependencies to deliver deeply integrated solutions.Change Management & Adoption: Drive onboarding, user adoption, and change management to ensure systems are embedded into daily workflows.Platform Influence: Represent the customer’s voice to the Platform team. Surface insights and themes that inform platform development.What We RequireEnterprise-Scale Delivery Experience: A track record of successfully leading large, complex high-budget customer engagements or transformation programs ($10M+) ideally involving AI. Most successful candidates will have at least 10 years of experience working with enterprise customers.People Leadership: Track record of leading cross-functional teams and mentoring others. You foster clarity, motivation, and accountability at scale. Enterprise Scale Delivery: Demonstrated experience delivering mission-critical solutions for organizations with significant scale, complexity, and regulatory considerations.Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences.Strategic Leadership: Ability to frame high-level business challenges, guide strategic decision-making, and influence senior executives.Customer-Centric Mindset: Deep empathy for users and the ability to identify solutions that create tangible, lasting business impact..Technical Acumen: Proficiency in programming or data analysis tools (e.g., Python, R, SQL) and a solid understanding of AI/ML concepts.Passion for AI: You believe in AI’s transformative potential and want to help shape how it’s applied responsibly and effectively in the enterprise.Bias for Action: You’re comfortable with ambiguity, eager to take ownership, and capable of turning vision into structured execution.Travel: Flexibility to travel 25–75% depending on engagement needs. What We OfferCompetitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in either location.

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What We Are Looking ForAs an AI Strategist Lead, you will lead Distyl’s most complex, high impact customer engagement end-to-end. Partnering a senior technical leader, you’ll oversee a multidisciplinary team of engineers, researchers, and AI Strategists to deliver enterprise-scale outcomes that fundamentally transform how our customers operateYou’ll work directly with C-suite and senior executives at Fortune 500 companies, helping them scope and shape AI -native strategies, and drive adoption of new workflows. You will be accountable not just for delivery, but for measurable business impact, long-term value creation, and building trusted executive relationships.You’ll shape the vision, drive execution, and influence our product roadmap by representing the voice of our most strategic customers. This role is ideal for someone with a rare blend of operational rigor, customer obsession, and strategic clarity - who thrives in ambiguity, leads with influence, and is passionate about AI.Key ResponsibilitiesExecutive Engagement: Build trust with senior stakeholders, including C-suite and VP-level sponsors. Align on business priorities and act as a strategic thought partner.End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery. Define success, design the roadmap, and measurable outcomes.AI Strategy & Value Discovery: Identify the most valuable problems to solve and aligning solutions to ROI. Team Leadership: Jointly lead teams of 10+ engineers, researchers, AI Strategists and program managers. Set clear goals, foster a high-performing team culture, and manage cross-functional execution.Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards. Navigate complex enterprise environments and drive cross-functional dependencies to deliver deeply integrated solutions.Change Management & Adoption: Drive onboarding, user adoption, and change management to ensure systems are embedded into daily workflows.Platform Influence: Represent the customer’s voice to the Platform team. Surface insights and themes that inform platform development.What We RequireEnterprise-Scale Delivery Experience: A track record of successfully leading large, complex high-budget customer engagements or transformation programs ($10M+) ideally involving AI. Most successful candidates will have at least 10 years of experience working with enterprise customers.People Leadership: Track record of leading cross-functional teams and mentoring others. You foster clarity, motivation, and accountability at scale. Enterprise Scale Delivery: Demonstrated experience delivering mission-critical solutions for organizations with significant scale, complexity, and regulatory considerations.Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences.Strategic Leadership: Ability to frame high-level business challenges, guide strategic decision-making, and influence senior executives.Customer-Centric Mindset: Deep empathy for users and the ability to identify solutions that create tangible, lasting business impact..Technical Acumen: Proficiency in programming or data analysis tools (e.g., Python, R, SQL) and a solid understanding of AI/ML concepts.Passion for AI: You believe in AI’s transformative potential and want to help shape how it’s applied responsibly and effectively in the enterprise.Bias for Action: You’re comfortable with ambiguity, eager to take ownership, and capable of turning vision into structured execution.Travel: Flexibility to travel 25–75% depending on engagement needs. What We OfferCompetitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in either location.