AI Data Science & Analytics Jobs

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At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI. As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations. Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications go into production, we are expanding our Forward Deployed Engineering (FDE) team to drive hands-on innovation where it matters most: in our customers' environments. We are looking for a technical and strategic Engineering Manager to lead our European FDE team. This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence. Why this role is unique: Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence. Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle. Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP. Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment. This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you. At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise. You Will: Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives Set clear technical direction and foster a culture of ownership, speed, and trust Work hands-on with customers to deeply understand and solve complex business and technical challenges Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams Make smart tradeoffs between speed, scope, reusability, and bespoke solutions Drive technical decisions and help the team navigate system integrations and architecture choices Shape the product roadmap by translating customer needs into scalable platform improvements Build internal tooling and shared capabilities to accelerate delivery across diverse use cases Collaborate across engineering, product, and customer teams to streamline execution and reduce friction Ensure fast, high-quality delivery of features, experiments, and customer launches Provide strategic clarity to your team and attract, hire, and retain world-class engineering talent   Ideally, You Have: 3–5+ years of engineering management experience, ideally in high-growth tech environments with direct customer engagement A strong engineering background and a track record of leading technical teams to deliver impactful products Hands-on experience building or deploying AI-powered systems, with an understanding of how model behavior shapes user experience A deep interest in Generative AI and a belief in its potential to transform enterprise workflows Proven ability to make fast, sound decisions in high-pressure or ambiguous situations The leadership presence to earn trust and respect from engineers, peers, and senior stakeholders Strategic thinking with a clear ability to turn business goals into actionable engineering plans Operational rigor in planning, prioritizing, and delivering complex software systems at scale Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps, and scalable platform architecture Strong communication and collaboration skills, with the ability to align cross-functional teams toward common goals PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Scale AI’s Robotics team is enabling the future of physical AI by building the most advanced data collection and annotation programs in the industry. We are hiring a Director of Robotics Operations to lead these efforts end-to-end—from onsite lab operations to managing distributed contributor networks and downstream annotation workflows. This role will manage a cross-functional operations team including site leads, independent data collectors, strategic project leads, engagement managers, and operational program managers. You’ll collaborate closely with Field Engineers (as key technical stakeholders) and cross-functional partners across Engineering, Product, and Go-To-Market. If you’re an experienced operator who thrives in complexity, excels at building scalable systems, and wants to make a massive impact in a fast-moving space, we want to hear from you. You will: Own and scale the full operations lifecycle for robotics data collection—from onsite physical setups to distributed contractor management and post-processing annotation pipelines. Lead a diverse team including Site Operations Leads, Strategic Project Leads, Engagement Managers, and Program Managers. Manage large networks of independent contributors across the globe to execute high-volume data collection at scale. Build and operationalize high-throughput, high-quality workflows across robotics programs—balancing speed, accuracy, and cost. Collaborate closely with Robotics Field Engineers, who are technical stakeholders responsible for hardware deployment and robotics integrations. Partner cross-functionally with Go-To-Market, Engineering, and Solutions teams to ensure successful execution of complex, customer-facing projects. Define and own key performance indicators (KPIs), including throughput, yield, cost per hour of data, and turnaround times. Solve operational bottlenecks and scale infrastructure to support rapid growth in customer demand and robotics deployments. Operate with urgency and clarity—driving execution while continuously improving workflows and systems. You Have: 10+ years of experience in operations, logistics, robotics, or related fields, with a proven track record leading large, cross-functional teams. Demonstrated ability to manage and scale hybrid workforces—both full-time staff and distributed independent contractors. Experience building and running on-site physical operations (labs, field sites, or hardware-intensive environments). Proven success in high-complexity program execution and cross-functional collaboration. Experience managing highly technical operational workflows with both hardware and software in the loop. Technical fluency and a data-driven mindset; comfort working with SQL or Python is a strong plus. Experience operating in international markets, especially LATAM, including field deployments, compliance, and vendor management. Strong systems thinking, process design, and problem-solving skills. High operational rigor and a drive for continuous improvement. A track record of operational output excellence Nice to Have: Experience in robotics, AV testing, or large-scale data annotation programs. Familiarity with fleet management, compliance frameworks, or automation workflows. Experience optimizing a global workforce with onshore and offshore operations. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.The base salary range for this full-time position in the location of San Francisco is:$204,000—$255,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.Role SummaryHelp build the world’s best deep learning cloud by delivering frontend and backend systems that power Lambda's ML and AI platform.What You’ll DoDesign and build intuitive, beautiful web interfaces for ML/AI cloud usersIntegrate top-tier tooling, workflows, and models from the AI spaceOwn features end-to-end—from design to deployment to monitoringYou (Must-Haves)Frontend Experience (6+ years)Responsive web apps using:TypeScriptReact (or equivalent experience in Vue or Svelte)HTML and modern CSSViteBackend Experience (8+ years)Business-critical services using:Python, Unix/Command lineDjango or FastAPIRelational databases like PostgreSQL or MySQLAdditional Core ExperienceCI/CD: Automation around testing and deploymentReliability & Observability: Logging, alerting, and building highly available systemsCloud Native Services: AWS, Okta, Cloudflare, etc.Nice-to-HavesExperience with KubernetesInfrastructure as Code (Terraform, Atlantis, Crossplane, etc.)Event-based or serverless tech (e.g., AWS Lambda, Kinesis)Experience in ML, AI, or data scienceApplication security and web hardeningLeadership or mentorship experienceStrong academic background (EECS, Math, Software Engineering, Physics)Salary RangeThe annual salary range for this position is $225,000-$445,000, with flexibility based on experience and qualifications.Final NoteYou don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey’s Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to how Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You'll DoEngage with lawyers at existing and prospective customers to understand and address their workflow challenges, and then explain and demonstrate the value of Harvey’s AI solutions to address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs. Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. Conduct research and analysis on customers and competitors.What You HaveJD or equivalent legal qualification.At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a corporate law or litigation focus.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Please find our CA applicant privacy notice here.Compensation Range$200,000 - $300,000 USD OTE 70/30 splitHarvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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About the TeamAt OpenAI, we’re building the connective tissue between our mission and our people. People Innovation Labs is a fast-moving engineering team embedded in the People organization, focused on rethinking how we find and retain the best talent and empower everyone to do their best work. From recruiting to culture, we’re designing systems that give our People Team a significant edge by infusing OpenAI’s models and first-principles thinking into every aspect of our work. Our projects range from greenfield 0-1 products like OpenHouse (our internal knowledge hub) to AI-powered automations and scalable recruiting tools. We’re defining the future of work at OpenAI, creating a blueprint for how AI can supercharge productivity, culture, and innovation. About the RoleWe are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. This team is for full stack product engineers who are deeply curious about culture, recruiting and people development, and want to know everything from the business strategy and metrics down through the code that gets us there. In this role, you will work with members of the People Team and leaders across the company to build software focused on HR, culture and recruiting from the ground up. You’ll also innovate on how we apply LLMs in these domains.   In this role, you will:Own the full product development lifecycle for new people products end-to-endTalk to internal stakeholders to understand their problems and design solutions to address themWork with the research team to share relevant feedback and iterate on applying their latest modelsCollaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products Your background might look something like:4+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companiesFormer founder, or early engineer at a startup who built a product from scratch is a plusInterest in building company culture and/or recruiting the world’s most talented peopleProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Ability to move quickly in an environment with loosely defined tasks and competing priorities or deadlinesAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. Specific teams may have specific location preferences.About ElevenLabsElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education.ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others.ElevenLabs is scaling rapidly but we are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerLearning & development: Annual discretionary stipend towards professional development.Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: We bring the entire company together at a new location every year.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.Most importantly, you’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.About the roleAt ElevenLabs, we believe AI will fundamentally change how companies grow and win customers. As an AI Automations Engineer, you'll be at the heart of that transformation—designing and building the next generation of tooling for go-to-market (GTM), Operations, and Finance teams.This is a highly cross-functional, technical role where you’ll use your full-stack engineering skills to build systems that supercharge ElevenLabs. You’ll embed within a specific team, and work closely with sales, marketing, operations, and product leaders to understand pain points, decompose ambiguous problems, and ship elegant, pragmatic solutions at speed. If you’re the kind of person who treats every broken process as a challenge to be fixed with software—and if you get excited about how AI is reshaping sales and marketing—you’ll thrive in this role.As an AI Automations Engineer, you can expect to:Own the design and implementation of internal tools and infrastructure that directly support our revenue teams.Build AI agents to automate processes, surface insights, and integrate data across multiple tools and resources. Partner with strategy and operations teams to deeply understand the customer and sales lifecycle, then automate, optimize, and reimagine it with code.Own & launch experiments to identify new ways to scale and optimize ElevenLabs operations, and drive their development and implementation.Design and deliver technical enablement that makes insights actionable across the ElevenLabs teams, through education, tooling, and streamlined workflows.Be a force multiplier: rapidly prototype and deploy full-stack features that have immediate business impact.RequirementsWe’re looking for exceptional engineers who are passionate about building technical systems that scale. You might be a technical start-up cofounder or a fullstack engineer who is dying to build more with AI. If this article sounds fun to you, you’re probably a good fit.Strong full-stack engineering skills: you’re comfortable moving across frontend, backend, and infrastructure as needed. Minimum requirements: Python, SQL.Builder mindset: you move fast, work independently, and don't wait for perfect specs—you uncover them through action. You have a talent for spotting patterns, identifying opportunities to automate or standardize, and translating them into scalable solutions.Deep product intuition: you think in terms of systems and workflows, and care about the business impact of what you build. You enjoy designing & building tools that empower internal teams to move faster and operate more independently.Passionate about AI: you’re eager to explore how AI can transform B2B sales, marketing, operation, and finance. You have experience working with data, AI agents, LLMs, prompting, and common integration patterns across tools and systems. #LI-Remote

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About Delve Delve is on a mission to eliminate busywork for humanity by turning compliance from a manual grind into an effortless, automated partnership. Trusted by over 500+ fast‑growing companies—like Lovable, 11x, and WisprFlow—we save them hundreds of hours and help them build securely.We’re the fastest-growing compliance startup in the world. Backed by Insight Partners, General Catalyst, Y Combinator, and top-tier investors, we just raised our $32M Series A and are scaling quickly. Our team includes Olympiad medalists, former founders, engineers from OpenAI, Stanford, MIT, and Berkeley—and some of the most talented builders you’ll ever meet.We’re not just solving compliance. We’re redefining how machines and humans partner to turn ambiguity into action. If you're hungry to work with the best and do your life's most meaningful work—keep reading.Don’t See the Perfect Role? Build It. Some people don’t fit into boxes. They break them—and build better ones.At Delve, we hire exceptional people, not just resumes. If you're the kind of person who makes things happen—whether you’re an engineer, designer, GTM operator, GRC expert, AI researcher, or something else entirely—we want to hear from you.This is a build-your-own-role opportunity for generational talent: the kind of person who raises the bar just by showing up. If you’re brilliant, ambitious, and relentlessly resourceful, Delve is the place where you’ll thrive.What You’ll Do (or Could Do) This role is intentionally open-ended. You tell us what your superpower is and how you’ll apply it at Delve. Some examples:Build AI-native workflows that help the fastest-growing startups pass audits without lifting a fingerRedesign the way humans interface with regulatory frameworks using automation and intelligenceLead strategic initiatives that scale our GTM motion 10x faster than the marketClose complex deals with CISOs and CTOs by deeply understanding their security stackArchitect systems that process millions of records securely and reliablyDefine how we scale policy development, risk management, and evidence collection across thousands of customersPartner directly with founders on product strategy, customer acquisition, or operationsYou’ll work side-by-side with a high-caliber team across functions—and be trusted to move fast, own problems, and drive outcomes.Who You AreYou’re in the top 1% of your field—people look to you when things get hardYou’ve built, shipped, led, or invented things that most people wouldn’t even tryYou crave ownership, seek out ambiguity, and never wait for permission to actYou’re a systems thinker, a fast learner, and a generous teammateYou want to be surrounded by people who push you to do the best work of your lifeYou believe that great companies are built by a small group of exceptional people moving quicklyBonus points if you’ve founded something, medaled in a competition, published something novel, led a team, built a product users love—or just done something weird and impressive.Why Delve? Delve isn’t just a startup—it’s a rocket ship. If you’re tired of slow-moving orgs, status games, or 9-to-5 checkboxes, you’ll feel at home here. We’re building fast, dreaming bigger, and moving toward a world where compliance (and beyond) is radically easier for every company on the planet.You’ll get:A seat at the table as we redefine an entire categoryThe opportunity to solve real problems for real customers—fastA team that’s as ambitious and mission-driven as you areIn-person energy (SF HQ) or remote flexibility—your callThe comp, equity, and benefits to focus on doing your best workBenefits100% medical, dental & vision coverage (you); partial for dependents401(k) with employer matchUnlimited PTO + federal holidaysGrubHub stipend + all meals covered in-officeGym membership coveredFrequent team dinners, events, and off-sitesAnd most importantly: the opportunity to do the most meaningful work of your careerApply If You’re Exceptional We’re not trying to fill seats. We’re trying to build a legendary team. If you’ve always felt a little out of place because you were dreaming bigger or moving faster than those around you — we built this company for you.

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About UsAt Artisan, we're creating AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of point solutions. We're starting with outbound sales and our AI BDR, Ava. Our platform contains every tool needed for outbound sales - B2B data, AI email sequences, deliverability optimization tools and so much more.We're growing very rapidly and recently raised a $25M Series A round from top investors. We are looking for superstars to join us on our rocketship growth as we relentlessly work towards building a multi-billion dollar company.About the RoleAva is our flagship AI employee—an outbound sales BDR that performs real work, with real results. We’re looking for a deeply technical and product-minded Applied AI Engineer to help build the core intelligence behind Ava: reasoning loops, action planning, tool use, memory, and end-to-end autonomy.You’ll be at the heart of building human-grade autonomous software agents. This is a hands-on, experimental, highly collaborative role where shipping matters.You’ll be building not just tools, but behaviors—real agents that replace full-time employees. You’ll help create not just features, but emergent intelligence. Ava is already changing how companies sell. You’ll define how far we can push her next.What You'll DoBuild and maintain agentic infrastructure: memory systems, planning modules, tool usage, and task decomposition logic.Develop robust integrations with third-party systems that Ava can reason about and act on (CRMs, email platforms, databases, etc).Design reinforcement loops, hallucination detection, and behavior tuning systems for long-term reliability.Work closely with product and design teams to prototype and productionize intelligent behaviors that feel seamless to users.Own model evaluation pipelines and instrumentation for user feedback and continuous improvement.Implement smart fallback systems to gracefully handle agent uncertainty or failure.What You Bring3–5+ years of experience in ML/AI engineering, ideally in applied LLM or agentic system contexts.Experience building end-to-end applications using modern LLM tooling (LangChain, LangGraph, or custom frameworks).Deep understanding of reasoning, prompt orchestration, and memory mechanisms.Strong software engineering skills—able to write clean, maintainable Python and backend code.Experience integrating AI models into production environments with real users.Why Join UsBuild the future of work by pioneering a new AI-native product category.Collaborate with a mission-driven, ambitious, and high-caliber team.Competitive salary, generous equity, and full benefits.Regular company off-sites and team events.Fast-moving culture where you'll ship meaningful work every week.

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About the TeamThe Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.About the RoleWe are looking for a Software Engineer with experience developing secure backend systems that prioritize customer data protection. This role is ideal for someone who is deeply committed to the nexus of product development, security, and privacy.This position is located in San Francisco. Relocation assistance is available.In this role, you will:Design, build, and implement back-end systems that power privacy and security functions within our API products and consumer applications.Conduct threat modeling, privacy design reviews, and code-level assessments to ensure the highest privacy and security standards.Collaborate with product managers, and other engineering teams to develop new products that leverage emerging research while maintaining privacy and security integrity.Work closely with the legal team to document and evaluate internal compliance practices, ensuring alignment with legal requirements and organizational standards, and conduct thorough internal audits to maintain the highest levels of compliance and integrity.Coordinate and actively participate in privacy incident response efforts.You might thrive in this role if you:Have substantial experience in building (and re-engineering) production systems to meet legal requirements, manage increased scale, and uphold privacy and security standards.Have led or been a significant contributor to security projects, demonstrating a cross-functional collaboration skill set.Deeply care about user experience and take pride in developing products that meet customer needs whilst drawing on experience in threat modeling, secure design, and regulatory compliance.Possess a humble attitude, strong communication skills, and an eagerness to support your colleagues, reflecting a readiness to do whatever is necessary for team success.Take responsibility for problems from beginning to end, demonstrating problem-solving abilities and preparedness to acquire any missing knowledge necessary to get the job done.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.   What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).   What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 5+ years of industry experience in ad tech, with a focus on performance optimization. Proven experience in applied machine learning, especially in CTR prediction, recommendation systems. Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering. Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).   #LI-AK1

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Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building from first principles.As an AI/ML Engineer, you’ll be part of the team that makes this real. You’ll work on both sides of the problem: how models are trained and how they run in the world. You’ll design and build the systems that power large-scale training runs and efficient inference. You’ll work closely with our AI Researchers to implement the latest algorithms and ideas.This is a deep engineering role. You’ll be writing a lot of code, instrumenting systems, optimizing performance, and debugging weird, messy edge cases in distributed training and model serving. If you love figuring out how foundation models really work under the hood, this is your team.What you’ll doBuild and scale training pipelines for sovereign foundation models like large language models and other architecturesDesign efficient inference systems that run these models in real-world environmentsOptimize data pipelines, tokenization, batch prep, and distributed training at multi-node scaleBuild deep observability into training and inference, improving performance, correctness, and efficiencyDebug and troubleshoot the hardest parts of model training and deployment, including distributed failures, GPU bugs, data inconsistencies, and scaling limitsWork closely with AI Researchers to translate cutting-edge algorithms into working systemsEstablish strong ModelOps practices to ensure reproducibility, reliability, and continuous improvement across the full lifecycle of foundation models, from initial experiments to production deploymentWho you arePassionate about how models are built, trained, and run, especially large-scale foundation modelsDriven by curiosity about model internals, training dynamics, and system-level performanceExcited to work across both training and inference, not just one side of the ML stackSkilled in Python and ML frameworks like PyTorch or JAX. Familiarity with distributed compute (CUDA, Triton, NCCL, etc.) is a bonus but not requiredConstantly learning, whether it’s reading open-source repos, replicating research ideas, or designing your own tools to explore a problemHands-on and determined. You like writing code, running experiments, and figuring things outMotivated to help build sovereign AI capability here in AustraliaWhy MaincodeWe are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.You'll be surrounded by people who:Care about model internals, not just outputsBuild things that work, at scaleTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems

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About Augment Code The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase. About the role As the Frontend Tech Lead at Augment Code, you'll help lead the design and implementation of user-facing experiences across our suite of developer tools—beginning with IDE integrations. You’ll drive critical architectural and technical decisions, guide a small team of engineers, and work in close partnership with design, AI research, and backend systems teams to shape the future of Augment’s AI-powered developer experience. What you'll do: Help lead the frontend architecture and implementation of Augment's IDE extensions and developer tools, from design through deployment. Collaborate cross-functionally with designers, AI researchers, and backend engineers to build deeply integrated and performant user interfaces. Drive UI/UX decisions based on developer workflows and feedback, ensuring our tools feel cohesive and intuitive. Collaborate with a team of AI Researchers and Systems Engineers to craft the technical direction of the Augment system Mentor engineers on frontend and integration work, and help scale the team’s technical capabilities. Help shape product direction, contributing to prioritization and planning of new features and user workflows. What we're looking for: 7+ years of experience in frontend software development, with at least 1–2 years in a technical leadership or staff+ role Expertise in modern frontend frameworks and languages (e.g., TypeScript, React, Svelte, Kotlin, Java, or similar) Experience building and shipping IDE plugins, devtools, or complex user-facing systems Strong product sense and ability to translate user needs into elegant, performant interfaces Track record of cross-functional collaboration across design, product, and backend Comfort working in fast-moving, ambiguous environments—and helping others do the same Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$225,000—$300,000 USD

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About the TeamOur infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale.About the RoleAs a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company.You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling.Develop forecasting and optimization models to support infra planning and resource allocation.Partner with engineering, research, and product teams to shape infrastructure strategy through data.Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI.You might thrive in this role if you have:5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research orgExperience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground upA strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisionsExcellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholdersA strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffsYou could be an especially great fit if you have:Proven track record of operating as a data partner in large scale backend systemsComfortable navigating fast-paced execution while also anchoring decisions in long-term impactStrong programming background, with ability to run simulations and prototype variantsExperience in NLP, large language models, or generative AIAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About UsSahara AI is a decentralized AI blockchain platform that prioritizes sovereignty and provenance of AI, ensuring security, equity, and accessibility for all users. Backed by top investors in AI and crypto, including Binance Labs, Pantera Capital, Polychain Capital, Sequoia Capital, Samsung, Matrix Partners, and many more, Sahara AI continues to push the boundaries of decentralized AI. Today, Sahara AI is trusted by 35+ leading tech innovators and research institutions, such as Microsoft, Amazon, MIT, Motherson Group, and Snap. Learn more at saharalabs.ai.Our VisionTo create a future where AI is open, transparent, and accessible to all through democratizing access to AI resources and ensuring sovereignty of AI assets.Our ValuesImpact First, No ExcusesThink Big, Act Fast, Every Day is Day 1Speak Up, Build BetterIntegrity Always, Zero CompromiseOwn it, Raise the BarResilience Wins the RaceRole ResponsibilitiesLead the launch of the global Ambassador Program and manage the day to day operationsWork with Community Lead to create and implement iterative scaling strategy aligned with business objectives and goalsRecruit, onboard, develop, and retain a diverse and impactful group of ambassadors to expand audiences, awareness, community engagement and build global cultureWork with Marketing and Ecosystem teams to design and execute impactful campaigns and programs that align with business objectives and goalsDevelop and hone successful incentive plans, management systems and strategies for ambassadorsManage and track deliverables, performance/KPIs, and ROI using data centric tools and systems to drive meaningful insightsCollaborate with Marketing to shape and promote content, ensure seamless brand and product storytelling, and create content repositories and resourcesRepresent the organization at in-person and virtual eventsBasic Qualifications3+ years professional tech community experience, and 1+ years managing ambassador programsBackground in Web3 and/or GamingExcellent people management and networking skills; familiar with how to recruit and manage creator/influencer typesHighly organized and data driven, with exceptional project and program management abilitiesProfessionally fluent with a variety of social platforms and community toolsPreferred QualificationsIdeal candidate has PLG experienceWhat We Offer🤖 | Shape the future of AI and Blockchain with a global team of industry experts⚙️ | Work closely with pioneering AI companies and startups💰 | Competitive compensation🏥 | Medical, Dental, and Vision benefits and vacation time💻 | Opportunity for career growth and high impact

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Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general-purpose robots, is looking to hire an experienced and driven Application Engineer with deep domain expertise in traditional manufacturing automation. This position is part of our Engineering team and plays a key role in helping us bridge the gap between legacy automation systems and the future of Physical AI. Reporting to the Head of Product, you’ll apply your 15+ years of experience in factory automation to help apply best practices in task automation, to Sanctuary technology integration, and production-scale reliability. As one of our Application Engineers, you’ll work hands-on with our AI team, robotics engineers, and external partners to assess and scope automation tasks, identify opportunity areas, and advise on deployment considerations that align with real-world customer needs and constraints. Success CriteriaIdentify and map the types of tasks that are already well-served by traditional automation systems — and where gaps remain.Guide our team on best practices for automating physical work in environments like manufacturing, logistics, and packaging.Help us benchmark and validate the performance of our robotic systems against industrial-grade alternatives.Work with the engineering team to ensure task replicas in the lab accurately capture the essence and constraints of real-world customer tasks.Identify, and lead the development of, hybrid customer solutions that integrate both Sanctuary's AI and traditional automation tools (e.g., PLCs, sensors, and robotic arms) to maximize real-world effectiveness. Your ExperienceQualificationsBachelor’s Degree in Mechatronics, Electrical/Mechanical Engineering, or equivalent practical experience15+ years in application engineering, factory automation, or systems integrationDeep working knowledge of automation systems including PLCs, HMIs, sensors, and actuatorsStrong background in task design and throughput optimization15+ years designing or integrating factory automation systems using PLCs, vision systems, and robotic arms.Experience working with integrators, OEMs, or directly on plant floors. SkillsEffective communicator with both technical and non-technical audiencesSkilled in root-cause analysis and system-level debuggingFamiliar with both low-level control and high-level system orchestrationComfortable working cross-functionally in fast-paced environments TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives.Successful candidates will be a proponent of personal responsibility for themselves and their teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

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About the Team:The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role:We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.In this role you will:Design, build, and operate high-performance distributed systemsIdentify and resolve performance bottlenecks to scale infrastructure to the next order of magnitudeDefine long-term technical direction and guide system evolutionCollaborate with product, engineering, and research teams to deliver scalable and reliable infrastructureDig deep into complex production issues across the stackContribute to incident response, postmortems, and best practices for system reliabilityYou might thrive in this role if you:Have significant experience building, scaling, and optimizing distributed systems at scaleAre curious about database internals, storage engines, or low-latency query systemsEnjoy debugging challenging performance issues in complex, high-throughput systemsThink rigorously about scalability, correctness, and reliabilityThrive in fast-paced environments with high autonomy and impactQualifications:4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech leadExperience with distributed systems at scale, with a strong focus on performance, reliability, and scalabilityStrong communication skills and ability to collaborate across highly technical and cross-functional teamsProficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferredDomain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not requiredAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Your New Role and TeamSanctuary AI, a world leader in building AI-based control systems for humanoid robots, is looking to hire a Director, Product Development & Management to join our team. Reporting to the Chief Product & Technology Officer, this pivotal role will oversee the product management group, driving the development and execution of our product strategy. This role is ideal for a visionary leader who combines deep industry knowledge with a passion for innovative solutions.  Our Success CriteriaWork with leadership to develop and implement a comprehensive product strategy and roadmapLead, mentor, and develop a team of product and program managers, fostering a high-performance culture that delivers on ambitious goalsAlign product development initiatives with business goals and market needsThrive in ambiguity and bring structure to complexity. You’ve built processes, not just followed themSupport the product development team, ensuring timely delivery of high-quality productsCommunicate product vision, strategy, and progress to senior management and stakeholdersOversee the end-to-end product development lifecycle, from ideation to launchCollaborate with engineers, designers, and other technical teams to develop product specifications and ensure feasibilityUnderstand and contribute to the technical aspects of product developmentEnsure the product meets technical specifications and performance standardsDefine and track key performance indicators to measure successGather and analyze data to make informed decisions and drive continuous improvementManage product lifecycle, including updates, improvements, and end-of-life strategiesCollaborate with cross-functional teams (including engineering, marketing, sales, and customer support) to guide products from conception to launch Your ExperienceQualificationsDegree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field, OR equivalent experience in Technology Development and Productization  A minimum of 7+ years of experience leading cross-functional teams in the development of intelligent hardware systems such as robotics, automated machinery, or sensor-based platforms, with supporting experience in AI or real-time control softwareUnderstanding of machine learning, artificial intelligence, or robotics and their applications in a variety of industriesStrong leadership skills, with the ability to inspire and guide a team towards achieving strategic objectives; lead through dotted line relationships and cross functional collaborationExcellent communication and negotiation skills, with a knack for building and maintaining strong professional relationshipsStrategic thinker with an analytical mind, capable of making data-driven decisions and identifying new opportunities for innovation and collaboration SkillsIn-depth understanding of product development processes and technologiesAbility to guide and support the technical teamThe ability to articulate complex technical concepts and strategic visions clearly and persuasively to a diverse range of stakeholders, from technical experts to non-technical partnersInnovative mindset with an applied research orientationThe capacity to lead, motivate, and unite teams and partners around shared goals TraitsA consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectivesEmpathetic listener with conflict resolution capabilitiesConsistent bias for action, communication, and interpersonal savvySelf-motivated and able to solve problems independentlyMission driven and passionate about bringing human-like intelligence to machines

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Who We Are  PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. What You’ll Do:  Work with backend and frontend (i.e. Vue.js) technologies Drive architecture and implementation decisions across the full technology stack Collaborate with ML, design, product, frontend, and infrastructure teams Uphold high-quality standards via testing, code reviews, and CI/CD Mentor mid-level engineers across backend and frontend domains Ensure compliance when contributing to software regulated as medical devices What You'll Need 5+ years of software engineering experience Strong foundational knowledge in data structures, algorithms, and system design Experience deploying full-stack features and API integration Bachelor’s in CS or equivalent experience Curiosity and adaptability within complex technical environments   We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. What You’ll Do  Solve complex backend challenges using high-quality code Design, build, maintain, and evolve scalable backend services and APIs (e.g., FastAPI, Django REST) Define and own the architecture of large components and platforms Collaborate closely with ML, product, frontend, and infrastructure teams to deliver end-to-end systems Maintain excellence in testing, CI/CD, and code reviews Mentor senior and mid-level engineers, promoting best practices Contribute to software regulated as medical devices, ensuring quality and compliance What You’ll Need Bachelor’s degree in CS or equivalent experience 5+ years in backend development (full lifecycle delivery) Strong experience with FastAPI and/or Django REST framework Solid grasp of data structures, algorithms, and system design Experience with cloud-native systems (AWS preferred), containerization, and orchestration (e.g., Docker, Kubernetes) Proficiency with CI/CD platforms (e.g., GitLab CI, Docker pipelines) We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  Overview As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you. What You’ll Do State of the art voice cloning Low latency and cost effective text to speech An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering focus and creativity. The opportunity to have a significant impact in a revolutionary industry. Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture. The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.