Find AI Work That Works for You

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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!The Solutions Marketing Manager will be responsible for developing and executing marketing strategies for artificial intelligence (AI) products, with a focus on driving product adoption and business growth for strategic deals inside target industries. They will lead the strategy and go-to-market for product positioning and competitive differentiation across all stages of the buyer journey.This role requires a deep understanding of AI technologies and the ability to develop and execute effective marketing strategies that drive growth and increase market share and competitiveness. The Senior Product Marketing Manager will collaborate with cross-functional teams, including software developers, data scientists, marketing teams, sales staff, and senior company leadership, to ensure successful execution of all marketing initiatives.They will be responsible for optimizing marketing strategies, managing product launches, developing sales enablement materials, and working with internal and external stakeholders to drive product innovation.In this role you will:Work with product managers and sellers to understand the key value proposition and target markets and devise strategies to drive demand and increase close ratesExecute on marketing campaigns, promotions, content marketing initiatives, and build sales trainings/collateralEnsure consistency in brand voice and tone across all contentCollaborate with internal teams and external partners to deliver content on time and aligned with business objectivesOversee strategic product launches from beta thru GA, ensuring targets are metEnable sales teams at all levels on Cohere’s value proposition and messagingConduct competitive analysis to inform product development, pricing, and marketing activitiesThis career opportunity may be a good match for you if you have:Experience with LLMs and RAGDeep understanding of large enterprises and their unique challenges5+ years of product marketing experience in Enterprise software and SaaSHigh level of technical acumen and understanding of complex technologiesAbility to operate in a fast-moving and constantly changing environmentStrong interpersonal skills with a strong sense of conviction and diplomacyStrong communication skills, verbal and writtenStrong sense of ownershipIf 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 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!The Product Marketing Manager will be responsible for developing and executing marketing strategies for artificial intelligence (AI) products, with a focus on driving product adoption and business growth. They will lead the strategy and go-to-market for product positioning and competitive differentiation across all stages of the buyer and customer journey.This role requires a deep understanding of AI technologies and the ability to develop and execute effective marketing strategies that drive growth and increase market share and competitiveness. The Product Marketing Manager will collaborate with cross-functional teams, including software developers, data scientists, marketing teams, sales staff, and senior company leadership, to ensure successful execution of all marketing initiatives.They will be responsible for optimizing marketing strategies, managing product launches, developing sales enablement materials, and working with internal and external stakeholders to drive product innovation.In this role you will:Work with product managers to understand the key value proposition and target markets and devise marketing campaigns that will drive demandDevise and execute on marketing campaigns, promotions, content marketing initiatives, and build sales trainings/collateralEnsure consistency in brand voice and tone across all contentCollaborate with internal teams and external partners to deliver content on time and aligned with business objectivesOversee strategic product launches from beta thru GA, ensuring targets are metEnable sales teams at all levels on Cohere’s value proposition and messagingConduct competitive analysis to inform product development, pricing, and marketing activitiesThis career opportunity may be a good match for you if you have:Experience with LLMs and RAG5+ years of product marketing experience in Enterprise software and SaaSHigh level of technical acumen and understanding of complex technologiesAbility to operate in a fast-moving and constantly changing environmentStrong interpersonal skills with a strong sense of conviction and diplomacyStrong communication skills, verbal and writtenStrong sense of ownershipIf 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 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 roleCohere is deepening its partnerships with Oracle and Dell—two high-impact partners that shape how enterprises build, deploy, and scale AI. These partners sit at the intersection of cloud platforms, infrastructure, and enterprise applications, making them critical distribution and influence channels for Cohere. We need a dedicated partner marketer to turn these partnerships into repeatable, high-performing GTM engines that drive adoption, revenue, and market credibility.In this role you will managePartner Marketing Strategy & ExecutionOwn end-to-end partner marketing for Oracle and Dell, spanning product storytelling, positioning, solution messaging, and co-branded assets.Develop annual and quarterly joint GTM plans in alignment with partner priorities, Cohere product launches, and sales needs.Build strong working relationships with partner marketing, partnerships, product, and industry teams across both organizations.Content, Messaging & Launch ReadinessLead content for co-engineered solutions, partner platform integrations, and AI factory/on-prem deployments.Develop partner-ready messaging kits, solution briefs, decks, demo narratives, and customer-facing content.Manage approvals and brand governance with Oracle and Dell to ensure accuracy and speed to market.Event, Enablement & Campaign LeadershipSupport Events Team on Cohere’s presence at Oracle AI World, Dell Technologies World, and regional partner-led events.Support planning out joint webinars, demand-gen campaigns, and industry vertical activations with partners.Build and deliver partner enablement (training, talk tracks, field guides, vertical plays).Cross-Functional & Sales AlignmentPartner with Product Marketing to support partner launches tied to new models, updates, and capabilities.Collaborate with Partnerships, Sales, and SAs on co-sell motions, pipeline generation, and strategic customer engagements.Act as the main marketing point of contact for Oracle and Dell internally. Measurement & ReportingDefine KPIs for each partner and track impact across pipeline, deal velocity, partner engagement, and co-marketing performance.Report quarterly outcomes and insights to GTM and partner leadership.You may be a good fit if you have5–8+ years in partner marketing, product marketing, or ecosystem marketing in AI, SaaS, cloud, infrastructure, or enterprise tech.Experience working with cloud platform and/or infrastructure OEM partners (Oracle, Dell, VMware, HPE, AWS, etc.).Ability to translate technical concepts—AI stacks, model performance, on-prem deployments, and enterprise application integrations—into compelling narratives.Strong GTM fundamentals: content creation, co-sell motions, partner enablement, event strategy, and demand-gen.Experience managing high-stakes partners and navigating complex approval processes.Excellent communication skills and a collaborative approach with cross-functional teams.A builder mentality—you thrive in fast-paced environments and enjoy creating scalable playbooks, processes, and partner assets.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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About UsAt Hiya, we’re revolutionizing voice communication. Our mission is to modernize voice with intelligence for security and productivitySince 2015, when we introduced the first mobile caller ID and spam-blocking apps, we’ve been at the forefront of voice intelligence innovation. In 2016, we partnered with Samsung and AT&T to launch Hiya Protect, the first network-based spam-blocking solution. In 2019, we introduced Hiya Connect, a branded call SaaS platform that helps businesses reach more customers by phone.Today, our Voice Intelligence Platform supports over 500 million users globally. By using adaptive AI and audio intelligence, it delivers smarter, safer, and more productive voice calls across networks, apps, and devices. Our network & solution partners have grown to include British Telecom, EE, Virgin Media O2, Ericsson, Rogers, Bell Canada, MasMovil, Telenor, FICO, Twilio, and more.About the PositionWe are looking for a Technical Program Manager (TPM) to lead delivery of complex carrier integrations for Hiya Protect, including authenticated call setups and network-level voice security deployments.This role is delivery-focused, highly cross-functional, and deeply technical. You will be the primary point of contact between Hiya and carriers across EMEA, ensuring each integration is planned, executed, tracked, and delivered with precision.You will partner closely with Engineering, Product, Carrier Specialists, Customer Success, and external carrier technical teams to bring new Protect integrations to life.This role is based in London with an expectation of 3 days/week in-office to collaborate with engineering and delivery teams.What You’ll DoProgram & Delivery LeadershipOwn end-to-end delivery of Protect carrier integrations, from kickoff through deployment.Define and maintain realistic project plans (20–25 weeks), milestones, dependencies, and risk registers.Run weekly status meetings, maintain project tracking docs, and ensure all stakeholders are aligned.Ensure carriers deliver their components on time (network configs, SIP elements, API tests, certs, data mapping, billing inputs).Technical Leadership & Problem SolvingBring technical fluency in REST APIs, AWS services, and SIP/telephony basics.Collaborate with Engineering and Product to clarify requirements, data schemas, and integration patterns.Validate data elements required for billing, fraud detection, and Protect workflows.Identify technical blockers early, escalate appropriately, and drive resolution across teams.Stakeholder & Partner ManagementAct as the trusted point of contact for carriers, ensuring expectations, timelines, and responsibilities are clear. Manage cross-functional communication with Engineering, CS, Product, and leadership.Present clear, concise updates to both technical and non-technical audiences internally and externally.Build strong partnerships through persistence, clarity, and a bias toward action.Process ImprovementImprove delivery practices, templates, and tooling for repeatability across future carrier integrations.Identify gaps in process, communication, or documentation and proactively address them.What You’ll Need to Succeed5+ years in technical program management or complex technical project delivery (SaaS preferred).Familiarity with software development lifecycle basics, Jira for ticket management, and program management methodologies is required.Experience leading integrations involving APIs, AWS, and complex technical data flows.Background in telecom, carriers, SIP/telephony, or adjacent industriesProven experience owning large implementations end-to-end, with hands-on involvement in requirements, risks, and stakeholder alignment.Strong command of implementation tracking (status docs, dependencies, RAID logs).These qualities reflect Hiya’s core values of Serving our customers, Doing rather than observing, Improving ourselves and our business, Owning and holding ourselves accountable for success, and Leading by showing up:Serve our customers – You lead with empathy, always seeking to understand customer challenges and provide solutions that deliver real value.Do rather than observe – You take initiative, move deals forward with urgency, and find creative ways to overcome obstacles.Improve yourself and our business – You embrace feedback, refine your craft, and seek opportunities to make our sales process and customer experience even better.Own and hold yourself accountable for success – You take responsibility for your results, celebrate wins, and learn from setbacks without excuses.Lead by showing up – You bring a clear point of view, engage in open and respectful discussion, and commit fully to team decisions that move Hiya forward.The requirements listed in the job descriptions are guidelines. You don’t have to satisfy every requirement or meet every qualification listed. If your skills are transferable we would still love to hear from you.More DetailsStart Date: ImmediatelyStatus: Full-timeType: HybridLocation: London, UKTravel Requirements: SomeDepartment: Business DevelopmentReports to: Senior Director Carrier Sales, Europe Benefits25 holiday plus bank holidaysOpt in salary sacrifice pension scheme (company full 4% of basic salary contribution)Paid parental leavePrivate medical insurance through Vitality (including dental & vision)Employer-paid life insurance 2x base salaryDonation Matching for a charity of your choice (up to $1,000/ year)WFH equipment stipend$1,000/year in Professional Development fundsLunch provided on in- office daysThis position is based in London, UK. Office post code: W1F 8WEWe are building a team with a variety of perspectives, identities, and professional experiences. We evaluate great candidates through a business lens and we strongly believe that diversity and unique perspectives make our company stronger, more dynamic, and a great place to build a career.Our team has won various awards over the last 4 years from Built-in Seattle and Seattle Business Week to #86 on Deloitte Technology Fast 500 and Forbes #1 Startup Employer. Here at Hiya, we are a people-centric company focused on helping each and every one of our employees grow both personally and professionally. We feel that creating a team culture of support and empowerment to challenge the status quo results in an energized and passionate team that is continuously challenged and passionate about the work they are doing. You'll love working here if you are looking for an innovative challenge that is disrupting an industry. Come join us!

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About the TeamThe Growth team drives user and revenue growth across ChatGPT’s consumer and business segments worldwide. We operate across the full funnel - from awareness and acquisition through activation, retention, and expansion - using a combination of global performance marketing, AI-powered workflows, in-product optimization, insights, experimentation, and creative ops engineering.About the RoleGrowth Marketing is a rapidly scaling functional area, accelerating growth by connecting out-of-product and in-product experiences into seamless journeys that acquire, retain, and re-engage users, unlocking ChatGPT’s transformative potential in users’ daily lives. We work cross-functionally with product, engineering, design, data science, finance, and marketing to unlock scalable growth levers and deliver measurable impact across diverse markets.This team thrives on rapid testing, rigorous measurement, and creative problem solving, all while keeping user value at the center of our decision-making.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 will:Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.Managing full-funnel performance metrics, from reach/engagement to LTV/CAC, and identifying new opportunities for efficiency and scale.Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.Expanding growth channels and market coverage, with attention to localization and regional performance nuances.Driving influencer and creator partnerships as part of the paid and organic growth mix.Collaborating with product teams to improve in-product conversion and onboarding flows.Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.You might thrive in this role if you are/have:8+ years of experience in growth marketing, performance marketing, or growth product management, ideally in high-growth tech.Proven ability to launch, scale, and optimize paid channels at significant budgets.Strong analytical skills and proficiency with measurement tools (Google Analytics, internal BI tools, experimentation platforms).Experience with AI-driven marketing tools, creative ops engineering, and workflow automation.Familiarity with engineering concepts and ability to work with technical teams to ship growth and martech infrastructure.A test-and-learn mindset and comfort with fast-paced, ambiguous environments.Excellent cross-functional communication skills and stakeholder management experience.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.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 TeamOpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.About the RoleThis is a founding role. As our first Technical Deployment Lead (TDL) for Financial Services, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.You will focus on the Financial Services vertical, partnering with banks, asset managers, and private capital investors to deploy next-generation AI capabilities across their operations, investment processes, and portfolio companies. You will own delivery end-to-end: embedding with Financial Services customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.This role is based in New York City. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role, you will:Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.Shape how we engage Financial Services customers You’ll thrive in this role if you:Bring 7+ years of customer‑facing technical delivery leadership.Have expertise in Financial Services Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.Excel in high ambiguity environments. Know how to simplify complex and dynamic work.Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).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 TeamOpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.About the RoleThis is a founding role. As our first Technical Deployment Lead (TDL) for Semiconductors/Manufacturing, you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.You will focus on the Semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.In this role, you will:Own the technical delivery plan for multiple interdependent workstreams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.Shape how we engage Semiconductors/Manufacturing customers You’ll thrive in this role if you:Bring 7+ years of customer‑facing technical delivery leadership.Have expertise in Semiconductors / ManufacturingTrack record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.Excel in high ambiguity environments. Know how to simplify complex and dynamic work.Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.Think strategically and pattern-match. Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.Have strong technical fluency and sharp sequencing instincts. Confident discussing technical details, pressure-testing architectures, and making trade-offs.Have shipped AI/LLM systems. You understand solution patterns, integration basics, and production pitfalls.You’re a translator with executive presence. You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).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 Norm AiNorm Ai, the leading Legal & Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.Norm’s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm’s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.This Role:As an Engineering Manager at Norm Ai, you will lead, support, and grow a high-performing engineering team, aligning their efforts with strategic business goals. You will partner closely with technical directors, legal engineers, product teams, and executive leadership to deliver innovative compliance solutions.You Will:Provide people leadership and career mentorship through regular 1:1s, performance management, and development planning.Collaborate closely with technical directors to ensure project execution aligns with strategic priorities and resource capabilities.Facilitate team processes, remove obstacles, and promote a collaborative and high-performance team environment.Lead hiring efforts, conduct interviews, and develop talent acquisition strategies in collaboration with technical directors and recruiting teams.Communicate effectively with senior leadership to ensure alignment and transparency on team progress, challenges, and successes.Regularly engage with cross-functional stakeholders to ensure your team’s work integrates seamlessly with broader organizational initiatives.Skills & Experience - Core:4+ years of experience as an engineering manager or similar leadership role.Demonstrated success managing high-performing teams and developing engineers' careers.Strong technical background – ideally in software engineering, machine learning, or AI research –enabling you to effectively collaborate with your team.Proven ability in stakeholder management, cross-team coordination, and resolving conflicts.Exceptional communication and interpersonal skills.Comfortable with strategic thinking, balancing immediate delivery with long-term technical and organizational health.Nice-to-have's:Experience in highly regulated industries (finance, healthcare, compliance).Familiarity with AI/ML-driven systems or regulatory technology solutions.Experience managing teams through periods of rapid growth and scale.Experiencing managing product engineering teams, working closely with product managers, designers, and client engagement teams.What Success Looks Like30 Days:Build strong relationships with your team members and cross-functional partners.Gain deep understanding of Norm Ai's technical architecture, key challenges, and organizational goals.Clearly articulate team priorities and establish initial frameworks for team communication and operational effectiveness.60 Days:Effectively drive execution of significant initiatives, demonstrating improved team productivity and clarity.Foster a strong culture of ownership, accountability, and collaboration within your team.Actively contribute to strategic discussions, highlighting opportunities and risks clearly and proactively.Comp and Benefits$235,000-$270,000 a year + generous early employee equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.To learn more about Norm Ai, visit our website.

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About TensorWaveTensorWave is at the forefront of the GPU cloud revolution, delivering cutting-edge infrastructure that powers the next wave of AI and machine learning applications. As businesses worldwide accelerate their digital transformation and AI adoption, we're building the foundational technology that makes breakthrough innovation possible. Join us in shaping the future of cloud computing in one of the industry's most dynamic and rapidly growing sectors. The OpportunityThe Vice President of Engineering will lead all engineering functions across infrastructure, platform, hardware integration, and reliability. This executive will partner directly with the CEO to drive technical strategy, scale GPU clusters, and deliver world-class performance for enterprise AI workloads. Key ResponsibilitiesOwn the engineering roadmap across compute infrastructure, software platform, networking, and data-center operations.Lead, mentor, and scale high-performance engineering teams (infrastructure, systems, platform, SRE).Drive architecture and execution of large-scale AMD-based GPU clusters.Ensure reliability, performance, and security across all production systems.Collaborate with Product, Operations, and CEO on long-term technical strategy.Establish rigorous engineering processes, documentation, and quality standards.Manage budgets, hiring, and resource allocation to support rapid growth.Represent engineering in executive planning, customer discussions, and investor interactions as needed. Qualifications10+ years of engineering leadership; 5+ years leading multi-disciplinary teams.Deep experience with large-scale compute systems, HPC, or GPU/accelerator infrastructure.Strong understanding of cluster orchestration, networking, distributed systems, and performance optimization.Proven ability to scale engineering organizations in high-growth environments.Exceptional communication and cross-functional leadership skills.Experience with AMD Instinct GPUs, Kubernetes, or high-bandwidth architectures is a plus. What You BringStrategic mindset with hands-on technical depth.Bias for action, operational rigor, and a passion for world-class engineering.Ability to thrive in a fast-moving, high-performance startup environment. What We Bring:Stock Options100% paid Medical, Dental, and Vision insuranceLife and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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Who We AreHealthcare needs a better rhythm: one that keeps care continuous and deeply human. Heidi is building an AI Care Partner that works alongside clinicians to make that possible.We’re a team of doctors, engineers, designers, researchers, and creatives building tools that help clinicians stay focused on what matters most: their patients.In just 18 months, Heidi has given back more than 18 million hours to healthcare professionals — supporting 73 million patient visits in 116 countries. Today, more than two million patient visits each week are powered by Heidi worldwide.Backed by nearly $100 million in funding, we’re growing in the US, UK, Canada, and Europe, partnering with leading health systems including the NHS, Beth Israel Lahey Health, and Monash Health.The RoleWe’re seeking a Senior Android Engineer to join our Mobile team and lead the development of our first native Android applications. You’ll bring Heidi functionalities into the hands of clinicians, working closely with our iOS engineers and product designers to deliver seamless, beautiful, and secure mobile experiences.You’ll be responsible for architecting and building Heidi’s Android app from the ground up, ensuring it is robust, scalable, and optimized for performance. This includes integrating on-device machine learning models using frameworks like TensorFlow Lite or ML Kit for healthcare features such as real-time image analysis or clinical decision support, and leveraging Compose and other Jetpack libraries to ensure maintainable, modern code. You’ll manage the full Android development lifecycle-from setting up CI/CD pipelines and automated testing to optimising for different device configurations and ensuring compliance with privacy and security standards essential in healthcare. Experience with Kotlin and native Android APIs will be crucial.You’ll also play a key role in cross-platform collaboration, knowledge sharing, and mentoring as we grow the mobile team.What you’ll doArchitect and develop Heidi’s first Android app, taking it from concept to launchDefine the Android mobile infrastructure and best practices for future functionality and team growthCollaborate with our iOS engineers to ensure cross-platform consistency and knowledge sharingIntegrate on-device ML models to enable real-time AI featuresWork closely with design and product teams to deliver pixel-perfect, intuitive UIsEnsure compliance with healthcare privacy and security standards (HIPAA, GDPR, etc.)Continuously optimise app performance, reliability, and securityWhat we’ll look for5+ years of professional Android development experience, fluent in Kotlin and Android ecosystem SDKsDeep knowledge of native Android APIs, Compose and other Jetpack libraries, and modern architectural patterns (MVVM, Clean Architecture)Experience running ML models on-device (TensorFlow Lite or similar) is a strong plusFamiliarity with RESTful API integrations, offline storage, and performance tuningExperience submitting and maintaining apps on Google PlaySome exposure to iOS (Swift UI) and willingness to collaborate closely with our iOS teamStrong problem-solving skills, ownership, and a detail-oriented mindsetAbility to thrive in a fast-paced, flat-structured, and high-agency environmentThe way we work1. Build to LastWe design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.2. Own Your PracticeIdeas rise on merit, not title, and everyone shares responsibility for the standards we set together.3. Move Fast, Stay SteadyWe move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.4. Make Others BetterHonest feedback, steady support, and shared growth keep our teams improving together.Why you will flourish with usFlexible hybrid working environment, with 3 days in the office.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all.

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  About the Company Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.     About the role At Armada, we are unlocking the limitless potential of AI to transform operations and improve lives in some of the most remote locations on Earth. From the expansive mines of Australia to the oil fields of Northern Canada, and the coffee plantations of Colombia, Armada offers a unique opportunity to tackle exciting AI and ML challenges on a global scale. We are actively seeking passionate AI Engineers with hands-on expertise across a range of domains, including real-time computer vision, statistical machine learning, natural language processing, transformers, control and navigation, reinforcement learning, and large-scale distributed AI systems. Ideal candidates will possess strong skills in machine learning (ML), deep learning (DL), and real-time computer vision techniques. You will be responsible for building ML/DL models tailored to specific challenges, preparing datasets for testing, evaluating model performance, and deploying solutions in production environments. Familiarity with containerization, microservices architecture, and the ability to independently deploy ML models into production is essential. If you are a self-driven individual with a passion for cutting-edge AI, we want to hear from you. Armada offers an unparalleled opportunity to confront some of the most thrilling AI and ML challenges in the world. Join our dynamic AI Engineering team as we deliver disruptive edge-compute systems capable of autonomous learning, prediction, and adaptation using vast, real-time datasets. We are pioneers in developing high-performance computing solutions for self-driving cars, camera networks, robotics, drones, conversational agents, and real-time monitoring and diagnostic systems. Our vision is to empower AI systems to seamlessly and securely interact with the complexities and uncertainties of the real world, and our mission is to bridge the digital divide in the process.  Location. This role is office-based at our Bellevue, Washington office.  What You'll Do (Key Responsibilities) Translating business requirements into requirements for AI/ML models. Preparing data to train and evaluate AI/ML/DL models. Building AI/ML/DL models by applying state-of-the-art algorithms, especially transformers. In some cases, leverage existing algorithms from academic or industrial research. Testing, evaluating the AI/ML/DL models, benchmarking their quality, and publishing the models, data sets, and evaluations. Deploying the models in production by containerizing the models. Working with customers and internal employees to refine the quality of the models. Establishing continuous learning pipelines for models with online learning or transfer learning. Building and deploying containerized applications on the cloud or on-premise environments Required Qualifications BS or MS degree in computer science, computational. science/engineering, or related technical field (or equivalent experience). 3+ years of work-related experience in software development with good Python, Java, and/or C/C++ programming skills. Familiarity with containers, numeric libraries, modular software design. Hands-on expertise with traditional statistical machine learning techniques as well as deep-learning and natural language processing modeling. Expertise in supervised, unsupervised, and transfer learning techniques. Hands-on expertise in machine learning techniques and algorithms with a strong background in state-of-the-art DNN architectures (Transformers, CNN, R-CNN, RNN, BERT, GAN, autoencoders, etc.) and experience in developing or using major deep learning frameworks (e.g., PyTorch, Tensorflow, etc). Experience with solving and using machine learning for real-world problems. Preferred Experience and Skills Demonstrable experience in building, programming, and integrating software and hardware for autonomous or robotic systems. Proven experience producing computationally efficient software to meet real-time requirements. Background with container platforms such as Kubernetes. Strong analytical skills with a bias for action. Strong time-management and organization skills to thrive in a fast-paced, dynamic environment. Solid written and oral communications skills. Good teamwork and interpersonal skills. Compensation For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request). Benefits Competitive base salary and equity Medical, dental, and vision (subsidized cost) Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA) Retirement plan options, including 401(k) and Roth 401(k) Unlimited paid time off (PTO) 15 paid company holidays per year #LI-AB1 #LI-Onsite   Compensation$134,400—$168,000 USD  You're a Great Fit if You're A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge  A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude  Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda  Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you    Equal Opportunity Statement At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.   Unsolicited Resumes and Candidates Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.  

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What if the bottleneck to scaling a frontier AI company isn't the technology, but figuring out which operational problems to solve first—and actually solving them? We're the ~50-person team behind Stable Diffusion, Stable Video Diffusion, and FLUX.1—models with 400M+ downloads. But here's the reality: breakthrough research doesn't automatically translate into sustainable business impact. Between cutting-edge models and a scalable company lie dozens of operational challenges that don't fit into neat job descriptions. That's where you come in. What You'll Pioneer You'll be the operational Swiss Army knife working directly with our founders, Chief of Staff, and leadership team. This isn't a traditional BizOps role with a fixed scope—it's a high-leverage position where you tackle whatever the most critical problem is right now, building solutions that scale as the company does. You'll be the person who: Works across multiple business functions as priorities shift—serving as connective tissue between R&D, GTM, Finance, and Operations Drives special projects and strategic initiatives on behalf of the Chief of Staff and founding team, owning end-to-end delivery from ambiguous brief to measurable impact Defines, tracks, and optimizes key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Owns monthly business reviews—synthesizing performance trends, insights, and recommendations into clear narratives that help leadership make better decisions Deep dives into critical business drivers, uncovering operational bottlenecks and inefficiencies across both business and technical operations Partners with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Supports executive communications—preparing board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-tests strategic alignment—assessing current projects against multi-year goals to ensure daily execution builds toward long-term success Questions We're Wrestling With How do we prioritize between competing operational needs when everything feels urgent? What metrics actually matter for understanding business health in frontier AI versus traditional SaaS? How do we translate technical infrastructure decisions (GPU cluster investments, compute allocation) into business strategy? Where are the hidden bottlenecks preventing us from scaling faster? How do we maintain execution velocity while building the operational discipline needed for sustainable growth? What does "good" look like for a business function we're building from scratch? These aren't hypothetical—they're the questions that determine whether we scale successfully or hit a wall. Who Thrives Here You've worked in environments where ambiguity is the default and structure is something you create, not something you inherit. You're equally comfortable building financial models and facilitating cross-functional alignment meetings. You understand that the best strategy is worthless without execution, and the best execution needs strategic clarity. You likely have: 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 A bias for action with a can-do attitude—you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving toward outcomes Executive presence and influence—proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions The ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization A commercially minded approach with sharp focus on translating operations into revenue growth and market impact Exceptional communication skills with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI We'd be especially excited if you: Have prior experience in AI, generative AI, or ML-adjacent businesses where the technology itself is evolving rapidly Are highly analytical with advanced modeling expertise and familiarity with SQL What We're Building Toward We're not just solving operational problems—we're building the foundation that determines how this company scales. Every process you design becomes how we operate. Every metric you define shapes what we optimize for. Every bottleneck you remove accelerates our growth. If that sounds more compelling than maintaining existing operations, we should talk. We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.  

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What if the bottleneck to scaling a frontier AI company isn't the technology, but figuring out which operational problems to solve first—and actually solving them? We're the ~50-person team behind Stable Diffusion, Stable Video Diffusion, and FLUX.1—models with 400M+ downloads. But here's the reality: breakthrough research doesn't automatically translate into sustainable business impact. Between cutting-edge models and a scalable company lie dozens of operational challenges that don't fit into neat job descriptions. That's where you come in. What You'll Pioneer You'll be the operational Swiss Army knife working directly with our founders, Chief of Staff, and leadership team. This isn't a traditional BizOps role with a fixed scope—it's a high-leverage position where you tackle whatever the most critical problem is right now, building solutions that scale as the company does. You'll be the person who: Works across multiple business functions as priorities shift—serving as connective tissue between R&D, GTM, Finance, and Operations Drives special projects and strategic initiatives on behalf of the Chief of Staff and founding team, owning end-to-end delivery from ambiguous brief to measurable impact Defines, tracks, and optimizes key performance metrics across business areas, partnering with finance to ensure data-driven decision-making Owns monthly business reviews—synthesizing performance trends, insights, and recommendations into clear narratives that help leadership make better decisions Deep dives into critical business drivers, uncovering operational bottlenecks and inefficiencies across both business and technical operations Partners with technical teams to translate complex infrastructure requirements (compute planning, capacity management) into business cases and strategic recommendations Supports executive communications—preparing board materials, strategic presentations, and leadership meeting content that distills complexity into actionable insights Pressure-tests strategic alignment—assessing current projects against multi-year goals to ensure daily execution builds toward long-term success Questions We're Wrestling With How do we prioritize between competing operational needs when everything feels urgent? What metrics actually matter for understanding business health in frontier AI versus traditional SaaS? How do we translate technical infrastructure decisions (GPU cluster investments, compute allocation) into business strategy? Where are the hidden bottlenecks preventing us from scaling faster? How do we maintain execution velocity while building the operational discipline needed for sustainable growth? What does "good" look like for a business function we're building from scratch? These aren't hypothetical—they're the questions that determine whether we scale successfully or hit a wall. Who Thrives Here You've worked in environments where ambiguity is the default and structure is something you create, not something you inherit. You're equally comfortable building financial models and facilitating cross-functional alignment meetings. You understand that the best strategy is worthless without execution, and the best execution needs strategic clarity. You likely have: 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 A bias for action with a can-do attitude—you thrive in ambiguous environments by bringing structured thinking to complex problems and always driving toward outcomes Executive presence and influence—proven ability to engage confidently with executives, technical teams, and operational staff, shaping strategic priorities across functions The ability to switch gears between high-level strategy and hands-on execution, collaborating effectively across all levels of the organization A commercially minded approach with sharp focus on translating operations into revenue growth and market impact Exceptional communication skills with proven ability to connect big-picture goals to tactical execution Deep passion for technology and the future of AI We'd be especially excited if you: Have prior experience in AI, generative AI, or ML-adjacent businesses where the technology itself is evolving rapidly Are highly analytical with advanced modeling expertise and familiarity with SQL What We're Building Toward We're not just solving operational problems—we're building the foundation that determines how this company scales. Every process you design becomes how we operate. Every metric you define shapes what we optimize for. Every bottleneck you remove accelerates our growth. If that sounds more compelling than maintaining existing operations, we should talk. We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.  

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!We are looking for a BU leader for OpusClip who wants full business ownership inside a high velocity AI company and is ready to operate at founder level. OpusClip is the world’s No. 1 AI clipping tool, a growth stage product with real scale, revenue, and brand credibility across creators, businesses, and the media industry. This role is about building on that foundation and driving the next S-curve at startup speed.What You’ll Own:You are the business owner of OpusClip. Strategy, execution, and outcomes are on you.You hold full P & L. Revenue growth, margin, pricing, packaging, and cost discipline. You build the operating plan and you deliver it.You lead the product and growth initiatives end to end. You strategize the roadmap, choose the bets, decide what not to build, and tie every move to a clear metric or a well formed hypothesis.You drive a tight cross-functional BU across product, AI, engineering, design, growth, and customer experience. You align everyone around a clear vision and effective OKRs.You translate AI into durable advantage. You push quality, speed, reliability, and cost efficiency, and you turn model progress into creator value and business uplift.You act as OpusClip’s external face when needed. You build relationships with top creators, brands, and partners, and you shape how the market understands our edge.Our Ideal "GMF":You are a product rooted business leader with entrepreneurial spirit.You have 8-15 years of experience with real 1 to 10 scaling wins. You have taken a product with traction and grown it into a much larger business. 0 to 1 experience is a plus.You come from creation or creator tools, or you have lived close to creators and understand their workflows, pain, and distribution. Being a creator yourself is a huge plus.You have owned meaningful outcomes. Revenue, retention, monetization. You are the person who carries the number.You are AI fluent. You understand what modern models can and cannot do, how to evaluate quality, how to manage cost and latency, and how to productize AI, so users feel magic without fragility.You are global by default. You have built or scaled products for global markets, and you know how localization, pricing, and GTM change by region.You thrive in ambiguity and move fast without excuses. You roll up your sleeves when needed, create structure from chaos, and operate with high autonomy and high accountability.You bring strong leadership presence. You can push for clarity, make hard calls, and raise the bar while keeping teams aligned and moving.First 12 Months, What Great Looks Like:You deliver fast, sustainable revenue growth for OpusClip while owning the full P & L. You run a clear operating plan, execute relentlessly against the numbers, grow profitably, manage costs and unit economics, and make disciplined investment tradeoffs as you tighten margins over time.You define and drive a winning product strategy, with a clear view of where to play and how to win, grounded in global market reality and AI advantage. You evolve OpusClip into a multi-use case platform, and secure leading positions in new segments.You build a battle ready BU team. Level up the core leaders across product, growth, data, and ops, set a high output culture, and run a tight cadence that keeps startup speed while scaling the business.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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About the ProgramThe OpenAI Residency is a six-month program designed to identify, mentor, and develop exceptional individuals with the potential to make outsized contributions to frontier AI research.Residents join OpenAI as full-time employees, embedding within Research teams to work on cutting-edge problems under the mentorship of senior researchers and engineers.Our goal is to build a talent discovery engine, finding people whose learning velocity, originality, and technical creativity signal the potential to become future leaders in AI research and development.We’re open to a wide range of backgrounds from self-taught engineers and independent builders to researchers in fields like mathematics, physics, or neuroscience. OpenAI has long been home to unconventional talent, and the Residency is our way of continuing that tradition.If you’re obsessed with AI, think deeply about how to build or understand intelligence, and have a history of creating or achieving remarkable things, we want to hear from you.About the RoleAs a Resident, you’ll embed with one of OpenAI’s Research teams for six months, working on ambitious projects that push the boundaries of AI. You’ll receive direct mentorship from experienced researchers, learn to design and execute experiments, and contribute to real research directions.Residents are expected to ramp quickly and contribute meaningfully during the program. Some Residents may be considered for full-time roles at the end of the program based on performance and business needs.This role is based in San Francisco, CA, with a hybrid, in-person collaboration schedule. Relocation assistance is available.Who We’re Looking ForWe’re looking for individuals who demonstrate strong technical ability and steep growth potential, regardless of formal credentials. We value trajectory over any particular archetype.You might be:A creative builder, hacker, or early-stage founder with a track record of turning ambitious ideas into working prototypes, tools, or products that push the frontier of what’s possible.An engineer or researcher who learns quickly, thrives in unstructured environments, and loves solving open-ended technical problems.A cross-disciplinary researcher from an adjacent field such as physics, mathematics, quantitative research, or neuroscience who’s drawn to the core scientific questions of intelligence.An independent thinker who pursues ideas outside conventional paths through self-study, open-source work, or personal research projects.A proven problem solver, for example through Olympiads, hackathons, or other high-signal achievements, with the technical ability to tackle hard problems.ResidentsShould be open to consideration for full-time roles after the program.Must be extremely proficient in programming languages and software development.Must be very comfortable with advanced math concepts in linear algebra, statistics, probability, and calculus.Must be able to independently build or execute complex technical projects. Preferred QualificationsAchievements or recognition in any technical or creative field (e.g., competition awards, impactful projects or publications, or open-source contributions).Evidence of self-study in machine learning fundamentals.Clear signals of originality, experimentation, or rapid learning.Motivation to discover AI breakthroughs and their potential benefits to humanity. Application and Interview TimelineWe expect to review applications and start interviewing as early as January 2026.The interview process for this role will include multiple technical assessments over the course of several weeks.Start dates are flexible and based on team availability.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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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.Senior Product Manager – AI Systems & ContextRole DescriptionAs a Senior Product Manager for AI Systems & Context, you will define how MagicSchool’s AI agents think, reason, retrieve information, and maintain coherence across complex educational workflows. You’ll translate company vision and goals into a product strategy that applies deep systems, retrieval, and knowledge-graph concepts to context, memory, and retrieval foundations that power intelligent, reliable agentic behavior for millions of educators.ResponsibilitiesIn this role, you will be responsible for driving the following outcomes:Define and own the product strategy for context, memory, and retrieval systems that determine what information AI agents see, how they maintain continuity, and how they ground responses from structured and unstructured data.Partner with Context Engineering and Knowledge Graph Engineering to translate advanced technical capabilities - dynamic retrieval, context compaction, graph-powered reasoning - into clear product requirements, evaluation frameworks, and shipped features.Drive end-to-end development of context pipelines and AI reasoning systems to ensure products balance token efficiency, retrieval precision, and real-world classroom reliability.Design measurement frameworks for context quality, retrieval performance, knowledge grounding, and long-horizon coherence; use these to prioritize improvements and safeguard product correctness.Represent educators and classroom workflows with deep empathy and collaboration, defining which information and tools are needed to power effective AI assistance across lesson planning, differentiation, assessment, and complex multi-step tasks. Experience & QualificationsTo be successful in this role, you’ll bring the following experience and qualifications:5+ years of product management experience, including ownership of platform, AI systems, agentic workflows, retrieval systems, or technically complex backend products.Strong understanding of AI context management, including experience with LLMs, agent architectures, prompt strategies, context windows, embeddings, retrieval-augmented generation (RAG), memory systems, or structured knowledge representations.Technical fluency with data systems, with familiarity in knowledge graphs, database optimization, entity/relation modeling, retrieval pipelines, and relevance/tuning concepts.Ability to partner deeply with engineering, translating distributed systems constraints, retrieval models, and graph architectures into product strategy and requirements.Experience using both qualitative and quantitative data (eval metrics, retrieval quality, latency, token usage, performance degradation) to drive product decisions.Exceptional execution and prioritization skills, especially in highly technical environments with complex interdependencies across engineering, research, and platform teams.Clear, persuasive communication skills, able to align partners across engineering, research, education, and product on highly technical concepts. Required ExperienceExperience shipping platform-level or AI/ML-driven systems involving context, retrieval, or structured information.Hands-on work with LLM-based products, ideally including RAG architectures, memory systems, vector search, or dynamic retrieval.Demonstrated experience working closely with data engineering teams, with familiarity in concepts like:knowledge graphsentity linkingschema designdatabase/query optimizationsemantic search patternsStrong background working within complex technical stacks (Python, TypeScript/Node.js, relational databases, vector databases, or equivalent).Proven track record driving measurable improvements in system quality, reliability, or correctness. Nice to HaveDirect experience with knowledge graph systems, Neo4j/Neptune, graph query languages, or semantic data modeling.Experience defining or evaluating agentic system performance, context quality, retrieval precision, token efficiency, or long-horizon coherence.Background in hybrid retrieval systems integrating structured graph data with vector search or embedding-based retrieval.Familiarity with educational data structures (standards, curricula, assessments, taxonomies), FERPA/COPPA requirements, or EdTech ecosystems.Prior work in domains requiring complex relationship modeling or high correctness (finance, healthcare, enterprise search, supply chain, etc.).Application Notice:Notice: Priority Deadline and Review Start DatePlease note that applications for this position will be accepted until 12/7/25 - applications received after this date will be reviewed on an intermittent basis. While we encourage early submissions, all applications received by the priority deadline will receive equal consideration. Thank you for your interest, and we look forward to reviewing your application.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.For full time employees: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.401k match & monthly wellness stipend.Our 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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About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one.What You’ll DoPartner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close, serving as the technical lead throughout the process.Lead product demos and technical evaluations, translating customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform.Build trusted relationships with customers, acting as a consultative advisor and ensuring technical success during pilots and deployments.Collaborate cross-functionally with Product and Engineering to relay customer feedback, influence roadmap decisions, and improve technical messaging.Develop and maintain reusable demo environments, playbooks, and sales engineering tools to support a repeatable, scalable and high velocity GTM motion.What We’re Looking For5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role, ideally in enterprise SaaS, DevOps, or AI.Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders.Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of DevOps practices in cloud-native environments.Skilled in infrastructure automation and applying security and compliance best practices in cloud-native environments.Strong communicator with the ability to clearly present technical concepts to both technical teams and executive leadership.Adaptable, self-starter mindset with a proven ability to thrive in fast-paced, early-stage environments.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Comprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

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About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).As an AI Engagement Manager, you’ll own the success of Resolve AI's largest customers, leading fast-moving, high-impact deployments that transform how engineering teams work. You’ll run point on execution, from daily project scrums to technical onboarding, testing, rollout, and ongoing adoption. You’ll build strong relationships across engineering, product, and the C-suites, turning insights into action and value into measurable ROI.You'll drive adoption, align stakeholders, and shape the outcomes that matter most to our customers and to Resolve AI’s growth. This role is high velocity, high visibility and high impact. What You’ll DoTrack and own customer health across key dimensions: executive sentiment, user sentiment, adoption metrics, investigation quality.Oversee the successful execution of a portfolio of enterprise-scale projects, ensuring they meet business objectives and drive measurable impact.Operate at maximum velocity- embrace a high-speed, dynamic environment where priorities can shift, requiring quick thinking and adaptability.Run daily project scrums, engage in planning, requirements gathering/refinement, product management, testing, evals, deployment, etc, whatever is needed to drive execution forward.Build relationships with engineers, product users, and executive stakeholders — align success metrics across levels.Lead technical onboarding, training, support, rollout, and expansion for new customer environments and teams.Drive adoption through data-driven interventions: monitor usage, sentiment, and feedback signals.Deliver Business Value Assessments (BVAs) and Quarterly Business Reviews (QBRs) that quantify ROI (e.g. MTTI reduction, time saved).Surface product insights and customer needs to engineering and product teams; influence roadmap based on voice-of-customer.Identify and act on expansion opportunities (new use cases, teams, environments) in collaborating closely with Account Executives and flagging issues early.Who You Are4+ years in Customer Success, Solutions Engineering, Technical Account Management or a related role in a SaaS environment.Strong technical foundation — comfortable navigating cloud infrastructure, observability stacks, APIs, integrations. Background in observability, incident-management, monitoring, or GenAI tooling.Excellent communicator — able to present to technical and non-technical audiences, including executives.Metrics-driven mindset — experience defining, tracking, and improving KPIs (e.g. WAU, NRR, usage growth).Proven track record of driving adoption, turning around at-risk accounts, or leading expansion.Experience building trust and working cross-functionally with product, sales, and engineering teams.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Comprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and Dinners We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

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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** Software Engineering ManagerEngineering at Mirage isn’t narrowly defined. As a small, collaborative team, engineers are trusted with a high degree of ownership and agency. As an Engineering Manager, you’ll lead and grow a world-class team of software engineers while providing clear direction and stability. You’ll be responsible for driving technical excellence, fostering growth and collaboration, and building foundational capabilities across product, infrastructure, and core platforms. ResponsibilitiesOversee the design and operation of our core platform (3rd party providers, storage, billing, observability, security, API).Provide technical leadership for various product and platform featuresImprove developer experience so the whole team ships fasterGuide efforts that bridge AI research to production across all modalities (video, audio, image, text)Understand the capabilities and limitations of SOTA AI models and how to best leverage them in productsPartner with product, design, and research to keep our development tightly aligned with user needs and business objectivesWhat Makes You a Great FitA track record of building, mentoring, and managing high-performing engineering teamsExperience shipping high-impact systems, platforms, and products in productionExcellent judgment: you balance technical discernment with a strong sense of practicality and time managementAble to operate effectively in an extremely fast-paced environment, while setting your team up for sustainable successStrong communicator who can inspire and align a multidisciplinary teamEven Better If...You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is goingYou are grounded, collaborative, and willing to do whatever it takes to help the team winYou have been a startup founder or an early engineer at oneBenefits: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** Software EngineerWe don’t use hierarchical titles or levels internally, but are currently hiring engineers who have operated at senior or staff+ scope. As a small, collaborative team, our engineers are trusted with a high-degree of ownership and agency.Engineering at Mirage isn’t narrowly defined: we work across three archetypes, and most of us span more than one.Product EngineeringShip end‑to‑end product surfaces for creative and commercial workflows.Understand the capabilities and limitations of SOTA AI models and how to best leverage them in products.Instrument, A/B, and iterate rapidly with production data.Talk to users.Platform and InfrastructureDesign and operate our core platform: (i.e. 3rd party providers, storage, billing, observability, security, API).Set technical direction for various product and platform features.Improve developer experience so the whole team ships faster.Build tools and integrations for non-engineering teams across the company to ensure they are set up to excel.Applied AIBridge research to production across all modalities (video, audio, image, text).Build tools for the research team: evals, dataset curation.Blend our research models with external models to prototype new product experiences.What Makes You a Great Fit5+ years of professional industry experienceA track record of shipping high‑impact systems and/or products in production.Exceptional problem solving fundamentals and ability to learn.Excellent engineering taste combined with a strong sense of practicality and time-management.Able to operate effectively in an extremely fast-paced environment as well as scope and deliver projects end-to-end.Even better if...You have worked extensively with LLMs, generative media models, and have a pulse on where the technology is going.You are grounded, collaborative, and willing to do whatever it takes to help the team win.You have been a startup founder or an early engineer at one.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.