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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As Staff Product Manager for Upmarket Onboarding, you’ll own the vision, strategy, and execution for how Vanta onboards upmarket (mid-market and enterprise) customers. This highly strategic role sits at the center of Vanta’s upmarket motion, ensuring every customer experiences a tailored, intuitive, and fast path to seeing value in Vanta’s GRC platform. You’ll build AI-powered experiences to decrease onboarding time from months to days for our most sophisticated customers.What you’ll do as a Staff Product Manager at Vanta:Define and drive the vision for Vanta’s upmarket onboarding experience — helping organizations import, map, and configure, their security programs in VantaTranslate complexity into clarity — prioritize scalable solutions that deliver clarity and confidence throughout onboardingInnovate with AI — integrate AI into the core onboarding experience, making it proactive, intelligent, and scalableDeeply understand customers — partner directly with customers, prospects, and internal teams to uncover needs, test hypotheses and validate solutionsLead cross-functionally — partner with engineering, design, go-to-market and cross-functional product teams to drive alignment and execution across the customer journeyShape Vanta’s product culture — help define what great product management looks like as we scaleHow to be successful in this role:8+ years of product management experience, including building and scaling B2B SaaS productsExperience with leveraging AI/ML to solve customer problemsProven track record of driving large, cross-cutting initiatives successfullyDeep customer empathy and curiosity — you thrive on understanding complex workflows and simplifying them elegantlyExceptional written and verbal communication, including with executive stakeholdersLearner mindset - you have genuine excitement for building both AI and non-AI products, and the grit to experiment, iterate, and failBonus: Experience in B2B SaaS onboarding and activation and/or GRCWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.The RoleAs a Principal Advisor, you will partner directly with CXOs across telecom, insurance, financial services, healthcare, and retail to drive AI-led reinvention of customer operations. You’ll identify high-impact opportunities to improve service efficiency, customer satisfaction, and agent performance transforming contact centers into intelligent, AI-native experience hubs.This is a high-visibility role at the intersection of AI innovation and enterprise transformation. You will shape multi-million-dollar strategic initiatives, forge industry-defining partnerships, and influence how Fortune 1000 enterprises adopt AI to reimagine customer experience.Key ResponsibilitiesExecutive Advisory: Counsel CXOs on how AI can re-architect contact center and customer operations to drive measurable enterprise value (e.g., lower cost-to-serve, improved NPS, faster resolution times).Opportunity Creation: Identify and shape AI-led initiatives that deliver step-change impact across contact center automation, workforce orchestration, and real-time reasoning.CXO Engagement: Build and sustain deep, trusted relationships with customer experience, operations, and technology leaders.Strategic Deal-Making: Lead negotiations and close $XXmm+ partnerships that unlock $XXXmm+ in enterprise value through AI-native customer engagement.Account Development: Drive continued transformation efforts at key accounts to deepen Distyl’s impact and expand adoption.Market Presence: Be recognized as a thought leader in AI-driven CX transformation - tracking trends in conversational AI, automation, and intelligent customer experience systems.Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, ethos, and mission and how they uniquely apply to customer experience transformation.Qualifications & ExperienceProven success leading large-scale customer experience or contact center transformation initiatives ($XXmm+ impact).Experience advising Fortune 1000 executives in CX, operations, or AI transformation.Deep understanding of contact center operations (e.g., workforce management, agent assist, case routing, QA, analytics).Exposure to AI-driven CX solutions such as generative AI assistants, intelligent automation, or reasoning-based decision systems.Exceptional communication and storytelling skills with both technical and non-technical audiences.Demonstrated resilience and adaptability in dynamic, high-stakes environments.Strong desire to work closely with technologists and continuously refine solutions based on enterprise feedback.Why Join Us?Redefine Customer Experience: Lead AI transformations that revolutionize how enterprises serve and engage millions of customers.Operate at the Highest Level: Engage directly with CEOs and CXOs to drive billion-dollar impact across industries.Shape Industry Standards: Partner with leading telecom, financial services, retail, and insurance enterprises to define the next generation of customer operations.High-Growth, High-Upside: Be a key leader in a hyper-growth AI company backed by the best in enterprise and AI.Mission-Driven, Elite Team: Join a culture of high ownership and deep impact, working alongside world-class AI engineers and strategists.

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About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the RoleOur GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy & Operations team, you’ll play a critical role in guiding the GTM strategy and driving the operational efficiency to accomplish this mission.We’re seeking a Sales Strategy & Operations business partner role to support our Startups segment. In this role, you’ll serve as a trusted advisor to sales leadership, driving core operating cadences, delivering data-driven insights, and leading high-impact projects that accelerate growth across the startups motion. You’ll also collaborate cross-functionally with Finance, Enablement, Data and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth.This role is based in NYC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you'll:Drive core operating rhythms including forecasting, pipeline reviews, top account reviews, and monthly/quarterly business reviewsAnalyze performance data to identify trends, surface risks, and highlight growth opportunitiesPartner with sales leaders and cross-functional stakeholders to develop go-to market strategyManage planning efforts including territory design, resource allocation, and target settingLead initiatives that enhance seller productivity and optimize funnel performanceCollaborate with GTM Systems to assess, implement, and optimize sales processes and toolingWork closely with the data team to ensure data accuracy and availability for revenue-related activities.You might thrive in this role if you have:7+ years experience in revenue operations or strategy at a high-growth, technology companyProficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel)Strong analytical skills with a focus on attention to detailExperience building territories, comp plans, and setting quotas for GTM teamsExceptional project management skills, with experience leading complex, cross-functional initiativesStrong communication skills and executive presenceAn understanding of the AI landscape, our applications, and the problems they solve for our customers.The ability to thrive in ambiguity and work autonomouslyExceptional organizational skillsThe ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritizationAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the RoleOur GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy & Operations team, you’ll play a critical role in guiding the GTM strategy and driving the operational efficiency to accomplish this mission.This is a leadership role supporting the Head of Revenue where you’ll lead a team of sales strategy and operations individuals covering multiple segments across AMER and EMEA. You will serve as a trusted advisor to GTM leadership—providing data-driven insights, managing core operating cadences, and leading high-impact projects that influence how we engage with customers and scale our business. You’ll collaborate cross-functionally with Finance, Enablement, Data, and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth.This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you'll:Lead, develop, and coach a team responsible for sales strategy and operations across multiple segments in AMER and EMEA, ensuring high performance and alignment to regional goals.Drive GTM operating cadences (e.g. forecasting, pipeline review, top accounts review, monthly / quarterly business reviews) and conduct strategic analyses to determine trends and identify opportunities for process and strategy optimizationCollaborate with GTM leadership and cross-functional stakeholders to develop go-to market strategy, capacity planning, territory design and target allocation.Lead strategic projects to improve efficiency and effectiveness across the sales organization.Partner closely with technical teams to implement processes systematically. You might thrive in this role if you have:7+ years of experience in Sales Strategy & Operations, Revenue Operations, or GTM leadership at a high-growth technology company.Proven success leading and developing high-performing teams, including setting strategic priorities, coaching, and fostering a culture of operational excellence.Exceptional analytical skills and strong business acumen, with a track record of solving complex problems through data-driven insights and strategic execution.Experience designing and running GTM operating cadences (forecasting, pipeline reviews, business reviews) and leading strategic GTM planning, including capacity modeling, territory design, and quota setting.Proven ability to prioritize and deliver on complex, high-impact initiatives, leveraging strong project management skills to lead cross-functional, multi-stakeholder efforts in fast-paced environments.Executive presence and strong communication skills, with the ability to engage, influence, and align senior leadership.A demonstrated ability to thrive in ambiguity, operate autonomously, and maintain momentum in a rapidly evolving environment.Exceptional organizational skills with the discipline to ruthlessly prioritize and manage multiple high-impact projects simultaneously.High horsepower, adaptability, and comfort with frequent context-switching while maintaining quality and ownership.Proficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel)Understanding of the AI landscape and how AI solutions solve real-world customer problems.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, and institutions shaping the future of AI.The Global Affairs team leads this engagement. We cultivate authentic, collaborative relationships with public officials, regulators, community stakeholders, and the broader AI policymaking community to ensure that diverse perspectives inform our work. By bringing external insights into OpenAI and sharing our own learnings transparently, we help advance thoughtful regulation, responsible industry standards, and governance frameworks that promote the safe and beneficial development of AI technologies.In close partnership with our research, product, and policy colleagues, the U.S. Policy and Partnerships team leads our Global Affairs engagement in the U.S. at the federal, state, and local levels, working across regions to anticipate emerging issues, craft forward-looking strategies, and champion policies that align technological progress with human values. Our mission is to help shape the global conversation on AI and ensure that the benefits of this transformative technology reach people everywhere.About the RoleOpenAI is seeking a visionary, strategic, and highly accomplished leader to serve as our Head of U.S. State Policy and Partnerships. In this role, you will lead a team of public policy professionals to drive OpenAI’s policy engagements across the various states, territories, and municipalities in the United States. You will shape state and local campaigns, partnerships, and high-level government engagement to advance OpenAI’s mission while navigating complex regulatory environments. Reporting to the Head of US and Canada Policy and Partnerships, you will lead a team of seasoned advocates who are engaging with all levels of state and local government and shaping AI policy debates and outcomes.This role is based in San Francisco, CA or Washington, DC. 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:Strategy & leadership: Set and execute the State and Local strategy, ensuring alignment with OpenAI’s priorities and leveraging all available campaign tools to drive good policy – while serving as part of senior leadership of U.S. and Canada Policy and Partnerships team.Team management: Lead and develop a high-performing team of senior policy professionals across multiple states, fostering inclusivity, growth, and integrity.Policy & political engagement: Cultivate direct relationships with governors, state legislators, mayors, and local leaders; anticipate and shape legislative, regulatory, and political trends; advise executives on political risk and policy positioning.Partnerships & campaigns: Design and execute state and regional campaigns and partnerships with governments, universities, industry, and third party groups; support key campaigns like Stargate/infrastructure.Cross-functional collaboration: Work closely with research, engineering, product, legal, communications, finance, and industrial compute teams to align policy strategies with technical roadmaps and business objectives.Representation: Represent OpenAI external events such as conferences, summits, and government meetings.You’ll thrive in this role if you:Are a seasoned leader at the intersection of technology and public policy, comfortable working in dynamic, fast-paced, and rapidly evolving environments.Inspire and develop diverse teams, empowering colleagues to excel while maintaining accountability and high ethical standards.Are willing to roll up your sleeves – with humility and good nature – and do the work with teammates in a high-energy, start-up, campaign environment.Enjoy building coalitions and thrive both independently and as part of a high-performing, peer-led team.Are a strong communicator and public advocate who can translate complex technical and policy concepts into compelling narratives for diverse audiences.Embrace cross-functional collaboration and can unify technical, legal, commercial, and operational stakeholders around a shared mission.We’re looking for a blend of:15+ years of experience in state government, technology policy, or a related field, including senior leadership roles.Established credibility and relationships with state and local leaders, including governors, mayors, and state legislators.Proven ability to lead high-stakes policy campaigns, shape legislation or regulation, and build partnerships across multiple states.Demonstrated success managing and developing high performing teams.Deep knowledge of state political and regulatory ecosystems, with a strong grasp of AI-related issues such as safety, privacy, competition, and infrastructure.Exceptional judgment, integrity, and political instincts with a proven ability to build consensus across diverse stakeholders, advance bold ideas, and deliver results in fast-moving, dynamic environments.Outstanding communication, negotiation, and interpersonal skills with a track record of influencing senior stakeholders.Experience working across functions (e.g., legal, research, communications, commercial) to develop coordinated strategies and deliver results.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling.As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential.About the RoleWe’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up.Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability.You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs.This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.This role is based in San Francisco, CA. We follow a hybrid work model of three days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale.Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders.Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making.Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions.Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.Research and evaluate emerging tools and techniques in the forecasting space.Translate technical outputs into business-aligned recommendations and decision frameworks.You might thrive in this role if you have:Extensive experience building production-ready models for time series applications.Proven track record of building adjustable and explainable forecast models for multiple planning cycles.10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling.Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders.Team leadership experience with a track record of building high-performing, engaged teams.An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1.The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed.Bonus if you have:Experience building or scaling forecasting platforms in a high-growth company.A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamThe Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.The Pretraining Safety team’s goal is to build safer, more capable base models and enable earlier, more reliable safety evaluation during training. We aim to:Develop upstream safety evaluations that to monitor how and when unsafe behaviors and goals emerge;Create safer priors through targeted pretraining and mid-training interventions that make downstream alignment more effective and efficientDesign safe-by-design architectures that allow for more controllability of model capabilities In addition, we will conduct the foundational research necessary for understanding how behaviors emerge, generalize, and can be reliably measured throughout training.About the RoleThe Pretraining Safety team is pioneering how safety is built into models before they reach post-training and deployment. In this role, you will work throughout the full stack of model development with a focus on pre-training:Identify safety-relevant behaviors as they first emerge in base modelsEvaluate and reduce risk without waiting for full-scale training runsDesign architectures and training setups that make safer behavior the defaultStrengthen models by incorporating richer, earlier safety signals We collaborate across OpenAI’s safety ecosystem—from Safety Systems to Training—to ensure that safety foundations are robust, scalable, and grounded in real-world risks.In this role, you will:Develop new techniques to predict, measure, and evaluate unsafe behavior in early-stage modelsDesign data curation strategies that improve pretraining priors and reduce downstream riskExplore safe-by-design architectures and training configurations that improve controllabilityIntroduce novel safety-oriented loss functions, metrics, and evals into the pretraining stackWork closely with cross-functional safety teams to unify pre- and post-training risk reduction You might thrive in this role if you: Have experience developing or scaling pretraining architectures (LLMs, diffusion models, multimodal models, etc.)Are comfortable working with training infrastructure, data pipelines, and evaluation frameworks (e.g., Python, PyTorch/JAX, Apache Beam)Enjoy hands-on research — designing, implementing, and iterating on experimentsEnjoy collaborating with diverse technical and cross-functional partners (e.g., policy, legal, training)Are data-driven with strong statistical reasoning and rigor in experimental designValue building clean, scalable research workflows and streamlining processes for yourself and othersAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the Team:OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI.About the Role OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale.Key ResponsibilitiesOwn the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality.Define verification plans based on architecture and microarchitecture specs.Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies.Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness.Drive bug triage, root cause analysis, and work closely with design teams on resolution.Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments.QualificationsBS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification.Proven success verifying complex IP or SoC designs in industry-standard flowsProficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi).Strong knowledge of computer architecture concepts, memory and cache systems, coherency, interconnects, and/or ML compute primitives.Familiarity with performance modeling, formal verification, or emulation is a plus.Experience working in fast-paced, cross-disciplinary teams with a passion for building reliable hardware.To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamThe Solutions Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, partnering directly with founders and technical teams to design, build, and scale new AI products on OpenAI. About the RoleWe are seeking a technically proficient, product‑minded Solutions Engineer to help push the frontier of advanced AI with our startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Architecture, Applied Research, and Product teams, and you will report to the Startups Solutions Engineering Lead.This role is based in our San Francisco HQ. 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:Partner closely with startups as their technical thought partner to build novel applications on our API, helping them move rapidly from initial concept to production at scale.Create and deliver repeatable guidance for the broader startup ecosystem by publishing best practices, sample apps, deployment patterns, and technical playbooks, and by leading workshops, office hours, hackathons, and founder roundtables.Collaborate with Product and Research to ensure our models and platform continue to deliver frontier-level performance on real startup workloads.Synthesize high-fidelity product and model feedback from a broad portfolio of startups and translate it into clear, prioritized requirements that shape our roadmap.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the teamWe’re the team behind ChatGPT — a rapidly evolving AI assistant used by hundreds of millions of people to learn, create, and solve problems. In addition to our global consumer base, over 5 million business customers use ChatGPT to get work done. Our goal is to make ChatGPT even more intuitive and helpful for individuals and teams everywhere. On ChatGPT for Work we’re focused on making ChatGPT the everyday productivity operating system for every knowledge worker. We build practical, outcome-oriented capabilities people use every day; backed by enterprise-grade admin and security controls so organizations can enable the product safely, at scale.About the roleWe’re hiring a product manager to build core experiences in our ChatGPT for Work team. You’ll work on core experiences that improve the product for knowledge worker productivity. Additionally, you’ll partner with customers and partners to understand where deeper experiences can add more value, and you’ll work with engineering, design, and go-to-market teams to turn those insights into polished, scalable product experiences.In this role you will:Own product roadmap for core experiences inside of ChatGPT Business and Enterprise.Collaborate with research, engineering, and design to translate breakthroughs into usable, high-value end user experiences.Understand heavily used tools and experiences across SaaS, by specific personas inside of companiesRun experiments and iterate rapidly, combining qualitative customer feedback with usage signals to drive prioritization and outcomes.Partner with cross-functional teams to deliver quickly while maintaining a high bar for technical quality and user experience. Our products extend to our API where applicable.You might thrive in this role if you have:6+ years of product experience shipping highly loved core products that delight end users.Can define product direction in ambiguous, 0–1 environments and rally teams around it.Understanding of security & compliance tradeoffs and experience working with enterprise customers and admin ecosystems.A data-driven mindset, with comfort defining and optimizing metrics that reflect org-level success.Excellent stakeholder and XFN communication skills, including comfort working directly with customers.Bring an entrepreneurial mindset and adaptability, whether from startup or high-growth company environments. You thrive in high-velocity, high-impact environments.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond.You will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication.This position is based in our San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available.The VisionBuild causal inference and predictive analytics capabilities to measure and forecast LTV across customer segments (B2C and B2B), and quantify the incremental impact of different actions or product features on customer LTV.Design customer “happy paths” by identifying adoption journeys that maximize lifetime value while ensuring customers gain the most from our ecosystem.Analyze price elasticity to guide product packaging, monetization, and pricing strategies.In this role, you will:Partner with cross-functional teams (Finance, Product, Data Engineering, GTM, and other DS teams) to build causal inference and predictive models that drive business decisions.Develop and maintain LTV models across product lines and customer cohorts.Architect scalable frameworks and models that democratize economic insights for leadership and functional teams.Support strategic pricing and investment decisions with robust analytical and causal evidence.Lead cross-functional data science initiatives, ensuring analytical rigor, clarity, and timely delivery.You might thrive in this role if you:Executive communication — ability to distill complex analysis into clear, actionable recommendations for leadership.Technical breadth — comfort spanning ROI analysis, causal inference, statistical modeling, and ML predictive models; strong experience with Python and SQL.Strategic judgment — ability to connect analytical insights to business impact, delivering the “so what” that informs leadership decisions.Collaboration and ownership — thrive in a fast-paced, cross-functional environment and proactively take projects from concept to delivery.QualificationsMS or PhD in a quantitative field (Statistics, Economics, Applied Math, Operations Research, Computer Science, etc.).7+ years of experience in applied data science, causal inference, or quantitative strategy.Proven record of delivering high-impact insights to executive leadership.Experience building scalable analytical frameworks and models that inform business decision-making.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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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.As a Senior Backend Engineer- Evaluations, you will work with the Trust, Safety and Quality team as a strong individual contributor to expand our Generative AI Evaluations capabilities. This work involves both application and data engineering. You will feel a sense of ownership over the space far beyond just taking tickets. You will obsess over safety, quality, speed and user impact. You will know when it's time to build versus time to buy and integrate. You will be passionate about building resilient scalable systems to ensure our users have the best experience possible. What You Will Do:Ensure we're building the safest product MagicSchool can build.Build tools and processes for evaluating MagicSchool output at scaleStay up to date on the latest tools and literaturePassionate about solving education problems with technologyWork closely with Evaluations product manager, team lead, data scientist and engineer and deliver high quality featuresDesign, architect, and write high quality code to expand our Evaluations framework's capabilitiesDebug complex code and applications in a cloud environmentBuild software that is easy for others to understand and easy to maintainData modeling in a relational database, data warehouse, and object stores.Assess and help the team choose appropriate third party solutions to problems when building doesn't make senseWork cross-functionally to integrate MagicSchool's evaluations platform with the larger applicationQualifications/Competencies/Skills:Working knowledge of SQL (PostgreSQL) and database design / data modelingExpert knowledge of PythonModern Python features like typehints and asyncioPython Multiprocessing to support evaluation jobs in the 10s to 100s of thousands per run.Familiarity with PydanticStrong communication skills: team-first mindset, highly collaborative, can articulate decisions within team's contextExperience working with and deploying docker applicationsBuilds relationships easily: emotionally intelligent, communication, warmGets a lot done: Works hard, resourceful, do whatever it takesAdaptable: Smart, learns fast, curiousNice to Have:Experience with evaluating generative AI systemsTypeScript and React (useful for internal tooling and cross-team contributions)AWS experience (bedrock, E(C|K)S)Experience:7+ years as an engineer, 2 of which were at senior level or aboveStart up experienceExperience with LLMs and Generative AI APIs and systemsWhy Join Us?Work on cutting-edge AI technology that directly impacts educators and students.Join a mission-driven team passionate about making education more efficient and equitable.Flexibility of working from home, while fostering a unique culture built on relationships, trust, communication, and collaboration with our team - no matter where they live.Unlimited time off to empower our employees to manage their work-life balance. We work hard for our teachers and users, and encourage our employees to rest and take the time they need.Choice of employer-paid health insurance plans so that you can take care of yourself and your family. Dental and vision are also offered at very low premiums.Every employee is offered generous stock options, vested over 4 years.Plus a 401k match & monthly wellness stipendOur Values:Educators are Magic:  Educators are the most important ingredient in the educational process - they are the magic, not the AI. Trust them, empower them, and put them at the center of leading change in service of students and families.Joy and Magic: Bring joy and magic into every learning experience - push the boundaries of what’s possible with AI.Community:  Foster community that supports one another during a time of rapid technological change. Listen to them and serve their needs.Innovation:  The education system is outdated and in need of innovation and change - AI is an opportunity to bring equity, access, and serve the individual needs of students better than we ever have before.Responsibility: Put responsibility and safety at the forefront of the technological change that AI is bringing to education.Diversity: Diversity of thought, perspectives, and backgrounds helps us serve the wide audience of educators and students around the world.Excellence:  Educators and students deserve the best - and we strive for the highest quality in everything we do.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewWe’re looking for a Deployment Strategist to lead our engagement with U.S. government agencies and public institutions. You will drive the adoption of Reflection’s technology by owning the end-to-end AI deployment lifecycle, from identifying high-value use cases to driving organizational change management. This role blends strategic advisory for executive stakeholders with hands-on deployment support, working closely with our Account Executives and Forward Deployed Engineers to deliver tangible outcomes.Key ResponsibilitiesSupport pre-sales engagements, build compelling demos, and conduct executive discovery workshops with public sector organizations to uncover high-impact AI use cases and shape adoption roadmaps.Immerse yourself in customer workflows to identify key pain points, and co-design proof-of-concepts that demonstrate measurable ROI.Manage pilot programs end-to-end, including stakeholder alignment, milestone delivery, risk mitigation, and overall coordination across Reflection engineering and client teams.Develop and execute strategies that embed our AI solutions into core business workflows and ensure lasting adoption.Partner with Account Executives to convert pilot success into scaled adoption and drive long-term expansion with agencies.Capture customer feedback to inform our research and product development priorities and ensure alignment with public-sector needs.Qualifications6+ years of experience in management consulting, digital transformation, or technical program delivery, ideally supporting U.S. agencies or other public institutions.Proven success leading complex programs with public agencies or in regulated environments (e.g., defense, infrastructure, education).Ability to bridge business strategy and technical implementation with clear, impactful communication at all levels.Strong stakeholder management skills and experience advising public-sector executives.Energized by ambiguity with proven ability to drive organizational change and guide customers from concept to adoption.Strong understanding of AI/ML concepts and public-sector IT architecture, including security, privacy, and data governance.Hands-on experience with Python, data analysis, and working with LLMs.U.S. citizenship is required, with an active security clearance or the ability to obtain one.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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Location 📍: San Francisco, United States (Hybrid - Travel to customer office)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.This year, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳As a Forward Deployed Engineer, you will work hand-in-hand with our most strategic enterprise customers to drive adoption, expansion, and real-world impact with our AI platform.You will embed directly with client teams, sometimes spending weeks or months on-site, to understand their workflows, prototype solutions, and deploy high-value use cases that accelerate their transformation.Acting as the bridge between pre-sales and post-sales, you will collaborate with Account Executives to uncover new opportunities, deliver technical implementations, and ensure customers realize lasting value. This is a hands-on, consultative, and deeply technical role that combines engineering rigor with customer empathy and business acumen.Your impact💥Serve as the dedicated FDE for strategic enterprise accounts, embedding directly with customer teams to drive adoption and measurable outcomes.Partner with Account Executives, Solution Engineers, and other team members to identify, design, and implement new AI-driven use cases that expand customer value and product consumption.Own the end-to-end delivery lifecycle, from scoping and technical demonstrations to integration, deployment, and ongoing optimization.Build, iterate, and deploy data workflows and API-based solutions using Python, GenAI models, and our platform’s SDKs.Develop strong, multi-threaded relationships across large organizations, from end users to senior stakeholders, to influence adoption and uncover expansion opportunities.Communicate clearly and consistently with internal teams, providing visibility into account health, technical progress, and growth potential.What We’re Looking For 🧠4+ years of experience in forward-deployed, solutions, or customer engineering roles spanning both pre- and post-sales.Proven success growing and expanding strategic enterprise accounts, with experience multithreading across complex organizations.Strong technical foundations with an engineering mindset; comfortable working with APIs, Python, and data workflows.Experience with Generative AI and LLMs is highly valued.Excellent communication and storytelling skills, able to translate complex technology into business value.Willingness and ability to travel extensively, including extended on-site engagements of up to three months.Self-starter with a startup mindset; adaptable, resourceful, and eager to drive impact in a fast-growing company.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance ProgramWork Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

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Location 📍: San Francisco, United States (Hybrid - 3 Days In Office)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.This year, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re hiring a Pre‑Sales Solutions Engineer focused on pre‑sales (~80%) with light post‑sales handover (~20%). You’ll partner with Account Executives and Enterprise prospects to qualify use cases, lead discovery, design solution architectures, and win the technical decision.You’ll build high‑impact demos and POCs/POVs on our low‑code/no‑code platform (with code where it counts), validate integrations (APIs, auth), and define success criteria, timelines, and ROI.You’ll handle technical evaluations (RFIs/RFPs, security), package reusable assets, and ensure a crisp handoff to post‑sales with clear docs, reference designs, and LOE/SOW inputs.This role is part of our continuous growth. We practice always-on hiring as we scale the Solutions Engineering team, and we regularly add exceptional talent to join our expanding team.Your impact💥Lead technical discovery to map business goals, requirements, constraints, and success criteria.Design solution architectures and reference patterns; produce clear diagrams and option trade‑offs.Build and run high‑impact POCs/POVs: scope, success metrics, timelines, and stakeholder alignment.Deliver tailored demos that showcase value, ROI/TCO, and operational impact; handle objections and competitive differentiation.Validate integration feasibility with customer systems via APIs (REST/GraphQL), webhooks, and auth (OAuth2/SAML/JWT); create sample requests and snippets.Prototype agent workflows, prompts, tools, and light RAG; set evaluation and guardrails for quality.Respond to RFIs/RFPs and security reviews (data residency, SOC 2, SSO, network options) with crisp, accurate answers.Estimate implementation effort and contribute to SOWs/LOEs; ensure a clean handover to post‑sales.Capture customer feedback and influence product roadmap; package reusable demo assets and patterns.Partner with Account Executives for deal strategy, multithreading, and forecast accuracy.What We’re Looking For 🧠3+ years in Pre‑Sales/ Solutions Engineering for SaaS or platforms (Enterprise focus preferred).Strong customer communication and storytelling; confident presenting to executives and engineers.Technical fluency: APIs (REST/GraphQL), auth (OAuth2/SAML), Postman/Insomnia, OpenAPI/Swagger; hands‑on with Python for prototypes and integrations.Familiarity with GenAI/LLMs: prompt design, basic RAG, embeddings, vector DBs, and major model providers (OpenAI, Anthropic, Azure/Vertex).Experience building demo environments and POCs on low‑code/AI platforms; ability to translate business needs into practical solutions.Working knowledge of cloud basics (AWS/GCP/Azure), data privacy/security considerations, and responding to RFPs/security questionnaires.Bonus: solution diagramming (Lucid/Mermaid), MEDDICC/solution selling exposure, and creating reusable demo kits.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance ProgramWork Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

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Location 📍: Sydney, Australia (Hybrid - 3 days per week in office required)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.This year, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We are expanding our Product team in Sydney and hiring an exceptional Technical Product Manager with a focus on enterprise-scale customers. As an early hire, this is a high-impact, high-ownership role where you'll lead the development and delivery of enterprise-grade AI solutions as we continue to scale quickly.You’ll be accountable for being the product manager of key parts of the Relevance platform for large-scale customers such as SSO, RBAC, access logs, analytics, and private cloud deployments that require deep technical knowledge. You will be responsible for communicating product roadmap, strategy, and specifications. You’ll be the key liaison between our technical teams and forward-thinking large scale enterprise clients, ensuring their complex needs are met with precision and technical depth.Your impact💥Own and drive product development for the enterprise segment of our platform, ensuring high-quality execution of enterprise features and readiness such as access controls, security protocols, auditability and private cloud deployments.Collaborate closely with engineers, designers, sales, and implementations to deliver scalable, reliable solutions tailored to enterprise needs.Build strong rapport and lead research efforts with enterprise customers to deeply understand their technical environments, workflows, and business priorities.Translate complex technical concepts into clear communication for both internal teams and external stakeholders.Set high standards for product quality and reliability, balancing innovation with the demands of enterprise-grade stability.Team Leader and mentor, spearheading a culture of AI dogfooding in our product team.What We’re Looking For 🧠Extensive experience as a product manager working directly with enterprise customers to deliver scalable features on cloud-based products.Strong technical acumen with prior experience in engineering, DevOps, or related fields to influence engineering teams and enable you to speak the language of enterprise IT and infrastructure.Solid understanding of enterprise authentication options and security concepts such as SAML, SSO, role-based access control, encryption, and private cloud deployments.Passionate about AI, agents and enterprise automation - you are excited to work closely with our customers to solve real enterprise problems.Demonstrated ability to build strong relationships and rapport with enterprise stakeholders, navigating complex sales and implementation cycles.Exceptional project management skills with a track record of driving cross-functional teams to deliver high-quality solutions on time.Comfortable working in a fast-paced, high-growth start up environment with a hands-on, resourceful, and independent approach.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust, low-ego environment. We hire exceptional people to do the best work of their lives. In return, we reward our people with competitive salaries, equity stake, unparalleled professional growth, and career-defining opportunities.Relevance AI is well-funded by leading investors, including Bessemer Venture Partners, Insights Partners, Peak XV, and King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance Programntal health and wellbeing support through Sonder, our Employee Assistance Program

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenerative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. Responsibilities: Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics, while also developing references and examples of tasks.Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD degree in Mechanical Engineering.You have at least 5 years of professional experience. Your level of English is advanced (C1) or higher.Working experience with Python.Experience in Generative AI/Prompt Engineering/Reviewing. Experience in teaching/educating/lecturing/training in your domain area. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $35/hour depending on your skills, experience, and project needs. Collaborate in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenerative AI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. Responsibilities: Content Creation & Refinement: Create and refine content to ensure accuracy and relevance across a variety of topics, while also developing references and examples of tasks.Experts Acquisition: Assess the qualification tests of experts, ensuring their competency.Chat Moderation: Provide support by addressing project-related questions from other experts in Discord chats, especially those related to project guidelines.Auditing Work: Review and evaluate tasks completed by other experts, ensuring they align with project guidelines. Provide constructive feedback, verify expertise-related information, and edit content as necessary to improve quality.How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD degree in Mechanical Engineering.You have at least 5 years of professional experience. Your level of English is advanced (C1) or higher.Working experience with Python.Experience in Generative AI/Prompt Engineering/Reviewing. Experience in teaching/educating/lecturing/training in your domain area. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $38/hour depending on your skills, experience, and project needs. Collaborate in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Accounting, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced accounting domains, with a focus on financial reporting, auditing standards, and tax strategies where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from quantitative finance fields that align with your expertise, forensic analysis, managerial budgeting, or ESG reporting, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses. Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a Master's or PhD in Accounting, Forensic Accounting, or related (e.g., with audit focus) or equivalent as a licensed CPA. Proficiency in reading and writing, both in informal and professional English. Strong ability to navigate various accounting information resources, databases, and online resources (e.g., FASB codification, IRS pubs, EDGAR). Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in accounting. Preferred Qualifications Professional experience in public accounting/audit. Possesses experience with at least one publication in a reputable accounting journal or outlet. Teaching experience as a professor Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone.  Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. 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