Find AI Work That Works for You

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. _*]:min-w-0 !gap-3.5"> As a Mid Market Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic deals with established companies of hundreds or thousands of employees across traditional industries including manufacturing, retail, healthcare, financial services, and logistics. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them identify practical AI applications that enhance operational efficiency and drive competitive advantage. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with conservative business leaders focused on measurable ROI and risk mitigation. The ideal candidate will have a passion for guiding traditional organizations through technology transformation, building consensus among diverse stakeholders, and executing long-term strategies that drive sustainable AI adoption. By facilitating deployment of Anthropic's AI solutions in established business environments, you will help organizations modernize their operations while advancing the ethical development of AI. About Anthropic Anthropic is an AI safety and research company that works to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities Drive new business revenue by navigating complex organizational structures to reach decision-makers and educate them on practical AI applications Execute sales strategies tailored to traditional industry procurement cycles and conservative decision-making processes to exceed revenue quotas Identify new operational use cases within traditional business functions and collaborate cross-functionally to position AI as practical enhancement solutions Build consensus among C-suite executives, IT directors, operations leaders, and procurement teams around AI adoption strategies Gather customer feedback to inform product roadmaps and strengthen value propositions for risk-conscious organizations Refine mid-market sales methodology by incorporating learnings into playbooks and optimizing processes for longer decision cycles You may be a good fit if you have: 8+ years B2B software sales experience with 5+ years closing in mid-market accounts within traditional industries Traditional industry expertise in manufacturing, retail, healthcare, financial services, logistics, or professional services Track record closing €100K-€5M deals with 6-12 month sales cycles in conservative business environments Experience as a strategic business advisor facilitating change management and technology adoption Proven ability navigating complex procurement processes and building consensus among diverse stakeholder groups Consultative selling approach translating technical AI capabilities into business language for conservative decision-makers History of exceeding quota while managing longer sales cycles across multiple traditional industry accounts Strong communication skills engaging audiences from technical teams to C-level executives Industry acumen with analytical approach to positioning AI as operational enhancement rather than disruptive technology Change management mindset for guiding conservative organizations through technology adoption Business outcome focus with ability to articulate ROI frameworks and demonstrate measurable operational improvements Passion for AI with commitment to safe, responsible deployment in stability-focused business environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€165.000—€215.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this Role? This role offers a unique opportunity to shape the future of trust-by-design for enterprise AI solutions. We are seeking a Counsel, Privacy and AI Regulation to join our Legal team and help navigate the complex global regulatory landscape governing AI, data privacy, and emerging technologies. This role will partner closely with product and other cross-functional stakeholders to shape and scale Cohere’s approach to trustworthy design, regulatory compliance, and risk mitigation in line with global regulatory standards. The ideal candidate will balance legal rigor with a pragmatic, business-oriented mindset.As a member of our Legal Team, you will:Serve as a trusted advisor to product managers, engineers, and designers, providing real-time legal guidance on AI/ML solutions, including on preventing misuse and addressing safety, privacy, and copyright risks and mitigations.Draft and implement internal policies, workflows, and risk assessments to ensure compliance with global AI and privacy regulations.Convert complex legal requirements and industry standards (e.g. CCPA, US State AI legislation, industry codes of practice) into actionable technical and operational requirements.Develop expertise on global laws, regulations, and industry standards and trends relevant to AI enterprise solutions and advise on strategic responses.Partner with external legal counsel, policymakers, and internal stakeholders including GRC, Security, Safety, Policy and Government Affairs, and Go-to-Market teams to align product strategies with and shape emerging regulatory trends.Negotiate and draft data processing agreements and AI regulatory terms in customer and vendor agreements.You may be a good fit if you have:J.D. and active membership in at least one U.S. state bar (California preferred).4+ years of legal experience. A combination of law firm and in-house experience at an enterprise software company is preferred.Expertise in data protection, AI, and digital platform regulation (e.g., CCPA, EU AI Act).Deep understanding of AI/ML technologies and platforms, product development lifecycles, and data governance.Track record of building cross-functional relationships and translating legal concepts into clear, actionable advice for non-legal stakeholders.Comfort operating in a fast-paced technology company, adapting to new priorities, and navigating ambiguity.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who we areEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google).Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week.Who you areWe are seeking an experienced Infrastructure Engineer to join our growing team and play a pivotal role in designing and building our platform and infrastructure as we continue to scale our product and user base. As a part of our team, you will be working in a dynamic, fast-paced environment to ensure the reliability, scalability, and performance of our systems, while focusing on service architecture and deployment, query optimization, distributed systems, data and machine learning infrastructure, and security and authentication. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.You will:Partner with product, infra, and engineering teams to architect and build Ema’s next-generation infrastructure platform supporting multi-cloud deployments and on-prem installations.Design and implement scalable, secure, and resilient deployment frameworks for Ema SaaS and enterprise on-prem environments, enabling automated installation, upgrades, and lifecycle management of Ema.Develop and maintain multi-cloud infrastructure pipelines (AWS, Azure, GCP) using Kubernetes, Helm, Terraform, and cloud-native services to ensure seamless and reliable deployments.Build tools and frameworks to automate the provisioning, configuration, monitoring, and upgrade of Ema environments at scale.Design and optimize CI/CD pipelines (GitHub Actions, Cloud Build, etc.) to streamline the release process across environments while improving developer experience.Contribute code and automation scripts (in Python, Go, or Shell) to strengthen infrastructure management and deployment reliability.Ensure observability, scalability, and security across distributed systems by integrating monitoring, logging, and alerting solutions.Collaborate cross-functionally to evolve Ema’s infra architecture, enabling faster deployments, lower operational overhead, and improved platform stability.Nice to HaveExperience designing installers and deployment managers for both SaaS and air-gapped on-prem environments.Strong understanding of container orchestration (Kubernetes) and infrastructure as code (Terraform, Helm).Hands-on experience with automation frameworks (Ansible, ArgoCD, Flux, or similar).Knowledge of service mesh and networking for multi-cloud environments (Istio, Envoy, or similar).Familiarity with monitoring and observability stacks (Prometheus, Grafana, Signoz, PagerDuty).Prior experience in ML Ops or data infrastructure is a plus.Proficiency in Python or GoExposure to air-gapped deployments, private clouds, or secure enterprise installations.Qualifications:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.5+ years of hands-on experience in Infrastructure, Platform, or DevOps Engineering, with strong exposure to multi-cloud environmentsStrong analytical and problem-solving skills, with a focus on scalability, reliability, and performance.Demonstrated ability to work independently and collaboratively in a fast-paced, high-growth environment.Experience working with global, cross-functional teams across time zones.Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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7AI is seeking our first East-Coast Senior AI Sales Engineer to join our growing team as a key technical leader. This is a strategic role for a seasoned professional with deep cybersecurity expertise and a passion to learn and advocate for AI. As one of the first senior hires in our go-to-market team, you will play a critical role in shaping how we engage with customers, influence product direction, and scale our technical sales motion.You will partner closely with Sales, Engineering, Product, and Customer Success teams to drive high-impact engagements with prospects and customers. You’ll lead technical discovery, design sophisticated solutions, and communicate the business value of our AI-powered cybersecurity platform to both technical and executive stakeholders.Key Responsibilities:Own and lead the technical sales discussions for high-value customer engagements.Serve as a trusted advisor to senior IT and security executives, deeply understanding their threat landscape and technology environment.Design and deliver compelling technical demonstrations and POCs that highlight differentiated capabilities of the 7AI platform.Collaborate with Product and Engineering teams to translate customer feedback into product features and roadmap priorities.Tailor solutions during Proof of Value to ensure long-term customer successMentor and guide junior Sales Engineers, contributing to team development and knowledge sharing.Represent 7AI at industry conferences, panels, and partner events as a technical subject matter expert.Drive continuous improvement of pre-sales processes, tools, and documentation to support scale.Requirements:6+ years of experience in cybersecurity-focused Sales Engineering, Solutions Architecture, or similar customer-facing technical roles.Demonstrated success in complex B2B enterprise sales, preferably in fast-paced startup environments.Expert-level knowledge of cybersecurity principles, frameworks, and modern threat landscapes.Experience working with or evangelizing AI/ML technologies within the security domain.Exceptional communication skills, with the ability to tailor complex technical topics to both engineering teams and executive stakeholders.Strong leadership presence with a collaborative mindset and a drive to take ownership.Proven record in scripting / engineering and customization / implementation

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey is hiring an Enterprise Customer Success Leader to build, lead, and scale a high-performing team of Customer Success Managers focused on our enterprise clients. This role will drive customer adoption, satisfaction, and long-term partnership with some of the world’s most sophisticated law firms and fortune 100 companies. You will be responsible for developing strategic customer success initiatives, implementing scalable processes, and ensuring our enterprise clients achieve measurable value with Harvey. The team is growing rapidly, and this leader will play a critical role in shaping our enterprise success strategy and culture.What You’ll DoLead, mentor, and develop a team of Enterprise Customer Success Managers to deliver exceptional client outcomes and retention.Partner cross-functionally with Sales, Product, and Engineering to drive customer adoption, engagement, and expansion.Develop and execute scalable success strategies, processes, and metrics tailored to the enterprise segment.Serve as an executive sponsor for key enterprise accounts, providing strategic guidance and building trusted relationships.Identify risks and opportunities across the customer base to drive proactive engagement and ensure customer satisfaction.Represent the voice of the customer internally, influencing product roadmaps and operational improvements.What You Have8+ years of experience in Customer Success, Account Management, or related client-facing roles, with at least 3+ years leading enterprise CS teams.Proven experience working with complex, global enterprise clients in the AI, SaaS, legal, or technology sector.Strong strategic thinking and operational execution skills with an ability to build frameworks and scale programs from the ground up.Exceptional communication and executive presence, with the ability to build trusted relationships at the C-suite level.A coaching mindset and passion for developing high-performing teams.Nice to HaveBackground in law or experience in the legal technology sectorPrevious experience in consulting or professional services firmsExperience working with or supporting large financial institutions or asset managersCompensation$183,000 - $247,000 USD OTE with a 80/20 SplitPlease find our CA applicant privacy notice here.#LI-AM1Harvey 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 accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewThe Partnerships team at Harvey is responsible for enabling step-change outcomes, working in lock-step with sales and product leadership. We rapidly adapt to the changing market environment, unlock new product experiences, and deliver new business. As a member of this team, you will help us build differentiated product offerings and scalable go-to-market motions.This role involves quarterbacking high-visibility, cross-functional initiatives from idea through execution. You will communicate proactively to meet the needs of our internal and external stakeholders, evaluating potential partnerships, negotiating agreements, and overseeing the integration of partner capabilities into Harvey’s offerings. You will work closely with senior stakeholders across product, finance, legal, and go-to-market functions to drive strategic initiatives and ensure successful partnership outcomes.Your ability to articulate the value of Harvey's product and sales strategy, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work.What You'll DoDevelop and execute a strategic plan for partner pursuits, aligned with Harvey’s overall product and GTM strategy.Independently identify, evaluate, and establish a range of partnerships to enhance product functionality and GTM motions.Negotiate complex partnership agreements, ensuring mutually beneficial terms and alignment with company goals.Conduct quantitative analysis, create business cases, and present them to executives.Collaborate closely with product, finance, legal and GTM teams to oversee the successful integration of new partners.Build and nurture strong long-term relationships with key partners, ensuring mutual success and achievement of partnership goals and business objectives.Operate autonomously, being both a proactive executor and strategic thinker. What You Have8+ years of experience in business development, sales, or product. Experience working at the early stage at a high-growth company, where programs are in their infancy and the partner motion is building.Proven ability to develop executive relationships, negotiate complex contracts, and problem-solve with external partners to drive distribution in new markets.Experience collaborating with product teams to develop and distribute new technology solutions.Team player who can collaborate effectively across internal functions (Product, Legal, GTM, etc.) to achieve common goals.Demonstrated passion for Harvey’s mission and a strong understanding of AI and its potential applications in knowledge work.Comfort with ambiguity and the ability to thrive in a fast-paced, evolving environment.Excellent communication and interpersonal skills—can influence without authority and drive urgency with empathy.Compensation Range$170,000 - $230,000 USD OTE with a 70/30 SplitPlease find our CA applicant privacy notice here.#LI-EP1Harvey 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 accommodations@harvey.ai

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About the TeamSafety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency.Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations.About the RoleAs a Product Manager on the Safety Systems team, you will drive initiatives which ensure that OpenAI’s frontier model deployments are safe, impactful, and aligned with user needs and technical innovation. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making.This position is based in San Francisco, CA, with relocation assistance available.In this role, you will:Partner closely with research, engineering, data science, policy teams, and other stakeholders to embed safety throughout the development and deployment of frontier AI models.Develop comprehensive frameworks for understanding and mitigating deployment safety risks, drawing on data analysis, expert consultation, and adversarial assessments.Define strategic priorities and product roadmaps focused on improving deployment safety, enhancing reliability, and managing emerging AI capabilities.Create scalable methodologies, tools, and processes for evaluating, refining, and continuously improving our safety systems.Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s models and product offerings.Develop and continuously refine clear, actionable metrics that effectively capture safety performance and user experience at scale.You might thrive in this role if you:Have 6+ years of product management or related industry roles, with specific expertise in AI safety, trust & safety, integrity, or related domains.Are deeply curious and interested in interdisciplinary fields such as human-computer interaction, psychology, philosophy, or similar areas.Have hands-on experience driving consensus and action in ambiguous spaces.Excel at identifying and challenging underlying assumptions and constraints through insightful questioning.Are highly effective at cross-functional collaboration and communicating complex technical concepts clearly and persuasively.Enjoy working in a fast-paced, high-growth environment.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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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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About the TeamLike every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.Marketing Operations is the connective tissue that enables Marketing to run at scale, with speed and impact. We design the systems, workflows, and culture that keep our global marketing engine running smoothly: from planning through launch and measurement. We’re a collaborative, solutions-oriented team that thrives in ambiguity and creative problem-solving. By partnering across the entire organization, we bring clarity, consistency, and momentum to everything we do—fueling bold ideas and impactful brand moments.About the RoleWe’re looking for a Marketing Operations Manager to bring operational clarity and consistency to our vertical marketing programs: including Consumer Product, Business Marketing, and Developer Marketing.This person will design and run the rhythms, reporting, and intake systems that keep each program moving in sync with company priorities. As our org scales, this role will flex across verticals and core marketing operations—sometimes embedded with a team, sometimes serving as a pinch-hitter to stabilize or stand up new workflows.You’ll partner with Marketing Ops peers and vertical leads to ensure programs are planned, funded, and measured with precision while maintaining creative speed and impact.In this role, you will:Build and evolve planning and reporting rhythms across product marketing and business marketing programs — status, priorities, quarterly reviews.Partner with Marketing Finance and Marketing Leads on budget forecasting, spend tracking, and program reporting.Own intake and prioritization systems to clarify scope and sequencing across teams.Create templates, dashboards, and playbooks that make vertical marketing more repeatable and data-driven.Identify operational gaps and implement scalable, AI-powered fixes that benefit multiple verticals.You might thrive in this role if you:7 + years in marketing or business operations — ideally across multiple marketing disciplines (consumer, B2B, developer, or product).Skilled in designing planning frameworks, budget management processes, and cross-functional operating rhythms.Strategic operator who can embed quickly, diagnose operational friction, and build structure that lasts.Excellent communicator and collaborator — trusted partner to marketing leads, finance, and cross-functional teams.Proven experience developing AI powered tools to solve operational friction.Hands-on experience with financial planning toolsAbout 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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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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WHO WE ARE: MagicSchool is the premier generative AI platform for teachers. We're just over 2 years old, and more than 6 million teachers from all over the world have joined our platform. Join a top team at a fast growing company that is working towards real social impact. Make an account and try us out at our website and connect with our passionate community on our Wall of Love.The RoleAs a Senior Context Engineer for AI Systems, you'll architect and optimize how MagicSchool's AI agents reason, remember, and operate within complex educational workflows. You'll design context management systems that determine what information our agents see, how they maintain state across multi-turn interactions, and how they retrieve knowledge without overwhelming their attention budget—ensuring reliable, coherent AI assistance for educators.In this role you'll implement the technical foundation of how AI agents manage their "mental workspace", and ensure our agentic capabilities remain accurate and focused in classroom scenarios.What You'll DoContext System ImplementationContext Architecture & Token Optimization: Design and implement context curation systems for product features that determine what information enters each agent inference step, balancing comprehensiveness with the finite attention budget of LLMs to prevent context rot.Task-Specific Context Management: Build memory compaction mechanisms and state management patterns that allow agents to maintain coherence within specific teaching workflows (lesson planning, differentiation, assessment creation).Context Monitoring & Improvement: Implement monitoring and evaluation for retrieval precision and reasoning coherence within your features. Collaborate with staff engineers and the evaluations team on measuring attention allocation and performance.Dynamic Information RetrievalJust-in-Time Knowledge Retrieval: Build dynamic, runtime data fetching that enable agents to autonomously pull relevant curriculum content, student data, and educational resources exactly when needed, rather than pre-loading context with unnecessary information.Tooling & Integration ImplementationTool & Integration Implementation: Build token-efficient tool APIs and retrieval layers for product teams to build context-aware featuresCross-Functional CollaborationProduct Collaboration: Partner with Product to translate educational workflows into optimal context configurations, understanding which information signals matter most for different teaching scenarios.Technical Collaboration: Work with evaluations researchers, platform engineers, and others to implement memory modules, retrieval adapters, and human-in-the-loop correction systems within your team's applications.Technical LeadershipSquad Technical Leadership: In collaboration with Product and peers, shape work for the team. Coordinate with other squads on requirements, patterns, and integrated projects.Knowledge Sharing: Share context engineering insights with the team, contribute to engineering discussions on context management patterns, token budget awareness, and dynamic information curation.What we’re looking for4+ years building distributed systems. Hands-on experience with RAG systems, knowledge graphs, or semantic search platforms in production environments.Strong coding skills in Python, TypeScript/Node.js. Experience with our stack (TypeScript, Node.js, PostgreSQL, NextJS, Supabase) or similar. Proficiency with LLM APIs (OpenAI, Anthropic, etc.) and their context management patterns.Experience with Model Context Protocol (MCP), context window optimization for specific model families, or building context-aware agent frameworks.Understanding of or interest in how educational content is structured (standards, curricula, taxonomies), privacy requirements (FERPA/COPPA), and how context needs differ across teaching scenarios.Experience with agent evaluation, measuring context quality/relevance, or instrumentation for attention budget tracking.Knowledge of curriculum standards, learning progressions, or educational metadata schemas that inform context design.Why Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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THE OPPORTUNITY:This job posting is for applicants in Mountain and Pacific time zones. As a Contract Professional Learning Specialist at Brisk Teaching, you'll get to connect with educators across the country, facilitating engaging professional development sessions that help them make the most of Brisk Teaching. This is a unique opportunity to support a fast-growing startup where your work directly impacts educators, students, and long-term customer success.YOU WILL:Develop expertise in Brisk Teaching and our professional learning offerings, leveraging your teaching background to support educators in implementing Brisk tools effectively into their practice.Lead dynamic online learning experiences for educators, utilizing flexible strategies that respond to the diverse needs of your participants.Participate actively in ongoing professional development opportunities, including training observations, constructive feedback sessions, and coaching opportunities to promote your professional growth.Complete comprehensive training preparation and follow-up protocols, ensuring thorough documentation and record-keeping are completed within established timeframes.YOU HAVE:Minimum of two years of US-based teaching experience in English language arts, social studies, math, or science in a K-12 grade environment.Availability for 7-10 hours per week, in addition to (15) hours of onboarding during your first two weeks of employment.Experience working in edtech training and professional learning.Strong working knowledge of and experience with best practices in integrating AI tools into instruction.Passion for helping teachers develop confidence and capacity as they navigate today’s dynamic educational landscape.Demonstrated ability to facilitate impactful professional learning experiences for teachers, including an understanding of how to use adult learning principles to meet session objectives.Proficiency with technology; confidence in navigating a virtual learning experience (i.e. Zoom) and using Google Suite.Equal Employment Opportunity & DiversityAt Brisk, we believe that diverse perspectives make better teams and stronger products. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, disability, or any other legally protected status.

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1. As we scale from breakthrough research to sustainable business impact, we are looking for a BizOps Lead to work directly with our founders, Chief of Staff, and leadership team to solve the most critical operational challenges and build the foundation for our next phase of growth. Why this role matters This role is critical to driving the next stage of growth and operational excellence at Black Forest Labs. As our Business Operations Lead, you'll work as a versatile problem-solver across the business, partnering directly with senior leaders to tackle the highest-priority challenges as they emerge. Reporting directly to the Chief of Staff (our first business hire who built out multiple functions), you'll serve as a force multiplier - gaining broad exposure to all aspects of scaling a high-growth AI company, from technical operations to GTM, operations, and finance. You'll craft pragmatic solutions, align diverse stakeholders, and own the delivery of high-impact initiatives wherever they're most needed. This is a high-leverage role with direct exposure to executive decision-making and the opportunity to shape how we operate at scale. What you'll do Work across multiple business functions as priorities shift, serving as connective tissue across R&D, GTM, Finance & Operations Drive special projects and strategic initiatives on behalf of the CoS and founding team, owning end-to-end delivery Define, track, and optimize key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Own monthly business reviews - synthesize performance trends, insights, and recommendations into clear narratives for leadership Deep dive into critical business drivers - uncovering operational bottlenecks, inefficiencies, and opportunities for improvement across both business and technical operations Partner with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Support executive communications - prepare board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-test strategic alignment - assess current projects against multi-year goals to ensure daily execution builds toward long-term success What we're looking for 4–6 years of combined experience in business operations, strategy, consulting (MBB), investment banking, venture capital, or private equity - with at least 1–2 years as an operator within a high-growth company Bias for action with a can-do attitude - you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving towards outcomes Executive presence and influence - proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions Ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization Commercially minded with sharp focus on translating operations into revenue growth and market impact Exceptional communicator with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI Nice to have Prior experience in AI, generative AI, or ML-adjacent businesses Highly analytical, with advanced modeling expertise and familiarity with SQL

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Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1. As we scale from breakthrough research to sustainable business impact, we are looking for a BizOps Lead to work directly with our founders, Chief of Staff, and leadership team to solve the most critical operational challenges and build the foundation for our next phase of growth. Why this role matters This role is critical to driving the next stage of growth and operational excellence at Black Forest Labs. As our Business Operations Lead, you'll work as a versatile problem-solver across the business, partnering directly with senior leaders to tackle the highest-priority challenges as they emerge. Reporting directly to the Chief of Staff (our first business hire who built out multiple functions), you'll serve as a force multiplier - gaining broad exposure to all aspects of scaling a high-growth AI company, from technical operations to GTM, operations, and finance. You'll craft pragmatic solutions, align diverse stakeholders, and own the delivery of high-impact initiatives wherever they're most needed. This is a high-leverage role with direct exposure to executive decision-making and the opportunity to shape how we operate at scale. What you'll do Work across multiple business functions as priorities shift, serving as connective tissue across R&D, GTM, Finance & Operations Drive special projects and strategic initiatives on behalf of the CoS and founding team, owning end-to-end delivery Define, track, and optimize key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Own monthly business reviews - synthesize performance trends, insights, and recommendations into clear narratives for leadership Deep dive into critical business drivers - uncovering operational bottlenecks, inefficiencies, and opportunities for improvement across both business and technical operations Partner with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Support executive communications - prepare board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-test strategic alignment - assess current projects against multi-year goals to ensure daily execution builds toward long-term success What we're looking for 4–6 years of combined experience in business operations, strategy, consulting (MBB), investment banking, venture capital, or private equity - with at least 1–2 years as an operator within a high-growth company Bias for action with a can-do attitude - you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving towards outcomes Executive presence and influence - proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions Ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization Commercially minded with sharp focus on translating operations into revenue growth and market impact Exceptional communicator with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI Nice to have Prior experience in AI, generative AI, or ML-adjacent businesses Highly analytical, with advanced modeling expertise and familiarity with SQL

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role and Team:Captions seeks an exceptional Research Engineer (MOTS) to drive innovation in training data infrastructure. You'll conduct research on and develop sophisticated distributed training workflows and optimized data processing systems for massive video and multimodal datasets. Beyond pure performance, you'll develop deep insight into our data to maximize training effectiveness. As an early member of our ML Research team, you'll build foundational systems that directly impact our ability to train models powering video and multimodal creation for millions of users.You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where infrastructure and data work is highly valued - your success will be measured by the reliability and performance of our systems, not by your ability to navigate politics. We're a team that loves diving deep into technical problems and emerging with practical solutions.Our team values:Quick iteration and practical solutions.Open discussion of technical approaches.Direct access to decision makers.Regular sharing of learnings, results, and iterative work.Key Responsibilities:Infrastructure Development:Build performant pipelines for processing video and multimodal training data at scale.Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets.Create efficient data loading systems optimized for GPU training throughput.Implement comprehensive telemetry for video processing and training pipelines.Core Systems Development:Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline.Build robust data validation and quality measurement systems for video and multimodal content.Design systems for data versioning and reproducing complex multimodal training runs.Develop efficient storage and compute patterns for high-dimensional data and learned representations.System Optimization:Own and improve end-to-end training pipeline performance.Build systems for efficient storage and retrieval of video training data.Build frameworks for systematic data and model quality improvement.Develop infrastructure supporting fast research iteration cycles.Build tools and systems for deep understanding of our training data characteristics.Research & Product Impact:Build infrastructure enabling rapid testing of research hypotheses.Create systems for incorporating user feedback into training workflows.Design measurement frameworks that connect model improvements to user outcomes.Enable systematic experimentation with direct user feedback loops.Requirements: Technical Background:Bachelor's or Master's degree in Computer Science, Machine Learning, or related field.3+ years experience in ML infrastructure development or large-scale data engineering.Strong programming skills, particularly in Python and distributed computing frameworks.Expertise in building and optimizing high-throughput data pipelines.Proven experience with video/image data pre-processing and feature engineering.Deep knowledge of machine learning workflows, including model training and data loading systems.System Development:Track record in performance optimization and system scaling.Experience with cluster management and distributed computing.Background in MLOps and infrastructure monitoring.Demonstrated ability to build reliable, large-scale data processing systems.Engineering Approach:Love tackling hard technical problems head-on.Take ownership while knowing when to loop in teammates.Get excited about improving system performance.Want to work directly with researchers and engineers who are equally passionate about building great systems.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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 laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the RoleAs an expert in making AI models run fast—really fast—you live at the intersection of CUDA, PyTorch, and generative models, and get excited by the idea of squeezing every last bit of performance out of modern GPUs. You will have the opportunity to turn our cutting-edge video generation research into scalable, production-grade systems. From designing custom CUDA or Triton kernels to profiling distributed inference pipelines, you'll work across the full stack to make sure our models train and serve at peak performance.Key ResponsibilitiesOptimize model training and inference pipelines, including data loading, preprocessing, checkpointing, and deployment, for throughput, latency, and memory efficiency on NVIDIA GPUsDesign, implement, and benchmark custom CUDA and Triton kernels for performance-critical operationsIntegrate low-level optimizations into PyTorch-based codebases, including custom ops, low-precision formats, and TorchInductor passesProfile and debug the entire stack—from kernel launches to multi-GPU I/O paths—using Nsight, nvprof, PyTorch Profiler, and custom toolsWork closely with colleagues to co-design model architectures and data pipelines that are hardware-friendly and maintain state-of-the-art qualityStay on the cutting edge of GPU and compiler tech (e.g., Hopper features, CUDA Graphs, Triton, FlashAttention, and more) and evaluate their impactCollaborate with infrastructure and backend experts to improve cluster orchestration, scaling strategies, and observability for large experimentsProvide clear, data-driven insights and trade-offs between performance, quality, and costContribute to a culture of fast iteration, thoughtful profiling, and performance-centric designRequired QualificationsBachelor's degree in Computer Science, Electrical/Computer Engineering, or equivalent practical experience3+ years of hands-on experience writing and optimizing CUDA kernels for production ML workloadsDeep understanding of GPU architecture: memory hierarchies, warp scheduling, tensor cores, register pressure, and occupancy tuningStrong Python skills and familiarity with PyTorch internals, TorchScript, and distributed data-parallel trainingProven track record profiling and accelerating large-scale training and inference jobs (e.g., mixed precision, kernel fusion, custom collectives)Comfort working in Linux environments with modern CI/CD, containerization, and cluster managers such as KubernetesPreferred QualificationsAdvanced degree (MS/PhD) in Computer Science, Electrical/Computer Engineering, or related fieldExperience with multi-modal AI systems, particularly video generation or computer vision modelsFamiliarity with distributed training frameworks (DeepSpeed, FairScale, Megatron) and model parallelism techniquesKnowledge of compiler optimization techniques and experience with MLIR, XLA, or similar frameworksExperience with cloud infrastructure (AWS, GCP, Azure) and GPU cluster managementAbility to translate research goals into performant code, balancing numerical fidelity with hardware constraintsStrong communication skills and experience mentoring junior engineersBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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 laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role:Captions is seeking an exceptional Research Engineer (MOTS) to advance the state-of-the-art in large-scale multimodal video diffusion models. You'll conduct novel research on generative modeling architectures, develop new training techniques, and scale models to billions of parameters. As a key member of our ML Research team, you'll work at the cutting edge of multimodal generation while building systems that enable natural, controllable video creation. We're already training large-scale models with demonstrated product impact, and we're excited to continue expanding the scope and capabilities of our research.We're especially excited about pushing the boundaries of audio-video generation, with a focus on realistic and charismatic human behavior that enables natural storytelling and creative iteration. Our models power creative tools used by millions of creators, and we're tackling fundamental challenges in how to generate compelling human motion, expression, and speech. Key Responsibilities:Research & Architecture Development:Design and implement novel architectures for large-scale video and multimodal diffusion modelsDevelop new approaches to multimodal fusion, temporal modeling, and video controlResearch temporal video editing techniques and controllable generationResearch and validate scaling laws for video generation modelsCreate new loss functions and training objectives for improved generation qualityDrive rapid experimentation with model architectures and training strategiesValidate research directly through product deployment and user feedbackModel Training & Optimization:Train and optimize models at massive scale (10s-100s of billions of parameters)Develop sophisticated distributed training approaches using FSDP, DeepSpeed, Megatron-LMDesign and implement model surgery techniques (pruning, distillation, quantization)Create new approaches to memory optimization and training efficiencyResearch techniques for improving training stability at scaleConduct systematic empirical studies of architecture and optimization choicesTechnical Innovation:Advance state-of-the-art in video model architecture design and optimization Develop new approaches to temporal modeling for video generationCreate novel solutions for multimodal learning and cross-modal alignmentResearch and implement new optimization techniques for generative modeling and samplingDesign and validate new evaluation metrics for generation qualitySystematically analyze and improve model behavior across different regimesRequirements:Research Experience:Master's or PhD in Computer Science, Machine Learning, or related fieldTrack record of research contributions at top ML conferences (NeurIPS, ICML, ICLR)Demonstrated experience implementing and improving upon state-of-the-art architecturesDeep expertise in generative modeling approaches (diffusion, autoregressive, VAEs, etc.)Strong background in optimization techniques and loss function designExperience with empirical scaling studies and systematic architecture researchTechnical Expertise:Strong proficiency in modern deep learning tooling (PyTorch, CUDA, Triton, FSDP, etc.)Experience training diffusion models with 10B+ parametersExperience with very large language models (200B+ parameters) is a plusDeep understanding of attention, transformers, and modern multimodal architecturesExpertise in distributed training systems and model parallelismProven ability to implement and improve complex model architecturesTrack record of systematic empirical research and rigorous evaluationEngineering Capabilities:Ability to write clean, modular research code that scalesStrong software engineering practices including testing and code reviewExperience with rapid prototyping and experimental designStrong analytical skills for debugging model behavior and training dynamicsFacility with profiling and optimization toolsTrack record of bringing research ideas to productionExperience maintaining high code quality in a research environmentAbout the Team:You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where technical innovation and research excellence are highly valued - your success will be measured by your contributions to improving our models and advancing the field, not by your ability to navigate politics. We're a team that loves diving deep into complex technical problems and emerging with practical breakthroughs.Our team values:Open technical discussions and collaborationRapid iteration and practical solutionsDeep technical expertise and continuous learningDirect impact on research and product outcomesWhat sets us apart:Opportunity to advance the state-of-the-art in video generationDirect impact on products used by millions of creatorsAccess to massive compute resources and diverse, large-scale datasetsEnvironment that values both research excellence and practical impactAbility to validate research through direct product feedbackBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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 laws.Please note benefits apply to full time employees only.

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Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptions Mirage Studio Our TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide. Responsibilities:Inference & DeploymentDevelop high-performance GPU-based inference pipelines for large multimodal diffusion models.Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale.Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs.Model Optimization & Fine-TuningLeverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality.Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback.Production MLOpsDesign and maintain automated CI/CD pipelines for model deployment, versioning, and rollback.Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems.Performance & ScalingExplore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs.Requirements: Technical ExpertiseProven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.).Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving.Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow).Model Optimization Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models.Experience profiling and optimizing model inference (batching, concurrency, hardware utilization).InfrastructureHands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML.Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems.Domain ExperienceExposure to diffusion models, multimodal video generation, or large-scale generative architectures.Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments.Benefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite! Grubhub subscriptionHealth & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to 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 laws.Please note benefits apply to full time employees only.

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About the teamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the roleOpenAI is seeking a highly motivated and experienced Account Director to join our Startups Go To Market team. You will play a critical role in owning relationships with top startup customers and supporting them in building successfully on the OpenAI platform.We believe that many of the most disruptive and category-defining AI applications will be created by startups. The Startup Go To Market team’s mission is to help startups harness the power of AI models to drive these advances. You will support startups building effectively with OpenAI’s APIs, and provide access to OpenAI teams and expertise to support their growth.This role is a mixture of technical understanding, vision, partnership, and strategy. You’ll be responsible for serving as the primary relationship owner for a set of strategically important startup customers, as well as working across the OpenAI organization to help these startups accelerate their progress and be successful using our models. You’ll work cross-functionality with product, research, engineering, support, and solutions architecture to help customers get the most out of our models.This role is based in San Francisco. 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'll:Manage a portfolio of startups accounts, developing and executing strategies for a comprehensive account planPartner with solutions and research engineering to build and execute complex customer programs and projectsOwn a consumption revenue targetManage consumption revenue forecastsAnalyze key account metrics to create reports and provide insights to internal and external stakeholdersClosely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategiesCollaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineeringServe as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startupsClosely monitor the industry landscape and startup landscape to contribute to product roadmap and other corporate strategiesSupport the recruitment and onboarding of other teammatesSupport the development of company cultureWe're seeking someone with experience including:6+ years selling platform-as-a-service and/or software-as-a-serviceDesigning and executing complex deal strategiesExperience working in or around the startup ecosystem, preferably as either a founder of a startup, an employee of a startup, or someone who worked with startup customersSupporting the growth of fast-growing, high-performance companiesWorking directly with C-level executivesCommunicating technical concepts to customers and internal stakeholdersLeading high-visibility customer events (CAB, conferences, product launches, etc.)Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor.Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future.Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions.Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy.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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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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About the TeamThe Frontier Systems team at OpenAI builds, launches, and supports the largest supercomputers in the world that OpenAI uses for its most cutting edge model training.We take data center designs, turn them into real, working systems and build any software needed for running large-scale frontier model trainings.Our mission is to bring up, stabilize and keep these hyperscale supercomputers reliable and efficient during the training of the frontier models.About the RoleWe are looking for engineers to operate the next generation of compute clusters that power OpenAI’s frontier research.This role blends distributed systems engineering with hands-on infrastructure work on our largest datacenters. You will scale Kubernetes clusters to massive scale, automate bare-metal bring-up, and build the software layer that hides the complexity of a magnitude of nodes across multiple data centers.You will work at the intersection of hardware and software, where speed and reliability are critical. Expect to manage fast-moving operations, quickly diagnose and fix issues when things are on fire, and continuously raise the bar for automation and uptime.In this role, you will:Spin up and scale large Kubernetes clusters, including automation for provisioning, bootstrapping, and cluster lifecycle managementBuild software abstractions that unify multiple clusters and present a seamless interface to training workloadsOwn node bring-up from bare metal through firmware upgrades, ensuring fast, repeatable deployment at massive scaleImprove operational metrics such as reducing cluster restart times (e.g., from hours to minutes) and accelerating firmware or OS upgrade cyclesIntegrate networking and hardware health systems to deliver end-to-end reliability across servers, switches, and data center infrastructureDevelop monitoring and observability systems to detect issues early and keep clusters stable under extreme loadBe expected to execute at the same level as a software engineerYou might thrive in this role if you:Have deep experience operating or scaling Kubernetes clusters or similar container orchestration systems in high-growth or hyperscale environmentsBring strong programming or scripting skills (Python, Go, or similar) and familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormationAre comfortable with bare-metal Linux environments, GPU hardware, and large-scale networkingEnjoy solving fast-moving, high-impact operational problems and building automation to eliminate manual workCan balance careful engineering with the urgency of keeping mission-critical systems runningQualificationsExperience as an infrastructure, systems, or distributed systems engineer in large-scale or high-availability environmentsStrong knowledge of Kubernetes internals, cluster scaling patterns, and containerized workloadsProficiency in cloud infrastructure concepts (compute, networking, storage, security) and in automating cluster or data center operationsBonus: background with GPU workloads, firmware management, or high-performance computingAbout 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamThe Data Engineering team at Basis owns and builds the tooling that allows our agents to interact with data from outside of Basis.We care deeply about clarity: clean abstractions, simple mental models, and clear interfaces that help our AI and product teams move fast without breaking things.About the RoleAs a Tech Lead on the Data Engineering team, you'll own the technical vision for how agents interact with data from other systems.You'll design solid architectures, make trade-offs clear, and teach others how to think about distributed systems effectively. You'll ensure consistency across runtime, data, and schema layers so our systems scale predictably and stay understandable as we grow.You'll lead by example through your code, design reviews, and documented decisions, making sure the platform is both powerful and elegantly simple.What you’ll be doing:Build and standardize our data platformDesign data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets.Define schemas and data contracts that balance flexibility with correctness.Build validation, lineage tracking, and drift detection into every pipeline.Create interfaces that make data discoverable, computable, and observable throughout the system.Model the domain as a systemTranslate accounting concepts into well-structured ontologies: entities, relationships, and rules.Create abstractions that help AI systems reason safely about real-world constraints.Design for clarity: make complex workflows understandable through schema, code, and documentation.Lead through clarity and technical excellenceOwn the architectural vision for your area and keep it consistent over time.Run effective design reviews that challenge assumptions and drive alignment.Mentor engineers on how to think about systems: from load testing to schema design to observability patterns.Simplify aggressively by removing unnecessary complexity and maintaining clean, stable abstractions.📍 Location: NYC, Flatiron office. In-person team.In accordance with New York State regulations, the salary range for this position is $100,000 –$300,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

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About the TeamOur Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprises and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.About the RoleWe’re looking for a senior engineer to design and build the load balancer that will sit at the very front of our research inference stack - routing the world’s largest AI models with millisecond precision and bulletproof reliability. This system will serve research jobs where requests must stay “sticky” to the same model instance for hours or days and where even subtle errors can directly degrade model performance.In this role, you will:Architect and build the gateway / network load balancer that fronts all research jobs, ensuring long-lived connections remain consistent and performant.Design traffic stickiness and routing strategies that optimize for both reliability and throughput.Instrument and debug complex distributed systems — with a focus on building world-class observability and debuggability tools (distributed tracing, logging, metrics).Collaborate closely with researchers and ML engineers to understand how infrastructure decisions impact model performance and training dynamics.Own the end-to-end system lifecycle: from design and code to deploy, operate, and scale.Work in an outcome-oriented environment where everyone contributes across layers of the stack, from infra plumbing to performance tuning.You might thrive in this role if you:Have deep experience designing and operating large-scale distributed systems, particularly load balancers, service gateways, or traffic routing layers.Have 5+ years of experience designing in theory for and debugging in practice for the algorithmic and systems challenges of consistent hashing, sticky routing, and low-latency connection management.Have 5+ years of experience as a software engineer and systems architect working on high-scale, high-reliability infrastructure.Have a strong debugging mindset and enjoy spending time in tracing, logs, and metrics to untangle distributed failures.Are comfortable writing and reviewing production code in Rust or similar systems languages (C/C++, Java, Go, Zig, etc).Have operated in big tech or high-growth environments and are excited to apply that experience in a faster-moving setting.Take ownership of problems end-to-end and are excited to build something foundational to how our models interact with the world.Nice to have:Experience with gateway or load balancing systems (e.g., Envoy, gRPC, custom LB implementations).Familiarity with inference workloads (e.g., reinforcement learning, streaming inference, KV cache management, etc).Exposure to debugging and operational excellence practices in large production environments.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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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.