AI Software Engineer Jobs

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the role As a Site Reliability Storage Engineer, you will play a pivotal role in designing, building, and operating exascale storage systems to manage our cutting-edge AI research data with unparalleled scalability and reliability across multiple regions. This role's core responsibility is to make sure our heterogenous storage systems in on-prem + cloud are reliable and performant.  We’re seeking engineers with expertise in exascale data management systems or distributed filesystems to join our mission-driven team. What you’ll do Develop and optimize software to manage exascale data, enabling efficient and reliable access for xAI researchers working on advanced AI models. Enhance the reliability, performance, and cost-effectiveness of xAI’s storage infrastructure to support large-scale AI research workloads. Collaborate closely with researchers to understand their data use cases and tailor storage solutions to meet their needs. Implement robust security measures to safeguard critical datasets, ensuring data integrity and confidentiality. Ideal Experience You’d be an exceptional candidate if you possess some (or all) of the following: Writing scalable, high-performance code in Rust or Go for storage-related applications or tooling. Managing storage infrastructure with IaC tools like Pulumi, Terraform, or Ansible. Past experience working with storage vendors facilitating partnership alignment, and integrating their tooling within xAI’s Infrastructure.   Familiarity with Kubernetes storage primitives (e.g., Persistent Volumes, CSI drivers) and integrating storage with containerized workloads. Bonus: Experience with AI/ML data pipelines, including handling large datasets for training and inference. Tech Stack Kubernetes Pulumi Rust and Go Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 45 minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in Python, Golang, or Rust Systems hands-on: Demonstrate practical skills in a live problem-solving session. Coding assessment or system design discussion based on the candidate's background.  Project deep-dive: Present your past exceptional work to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. We do not condone usage of AI in interviews and have tools to detect AI usage. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About the TeamThe Integrity White Hat team is responsible for proactively uncovering failure modes in OpenAI’s most advanced models, products and runtime systems before they reach the world. This small, high-impact group partners closely with research, safety teams and security to probe vulnerabilities, surface early warning signs of misalignment, and ensure that our models meet the highest standards of safety.About the RoleYou will be a founding member of the team and help shape the strategy and vision for how we ensure fast and safe deployment of more powerful models and product experiences. You’ll define the scope and methodology of adversarial evaluations, drive alignment between model development and safety, and ensure OpenAI remains at the forefront of proactive risk mitigation.We’re looking for someone who thrives at the intersection of research and safety, operate with high integrity and urgency, and are motivated by the mission to ensure AGI benefits all of humanity.In this role, you will:Define the strategic direction and methodology for adversarial testing—including empirical probing, stress-testing, and alignment-focused evaluations.Identify and characterize emergent risks in reasoning, instruction-following, agentic behavior, and other critical capabilities before they result in external incidents.Collaborate with external partners to extend the reach and rigor of the White Hat efforts.Operate with a lean and efficient structure, balancing in-house expertise with vendor support where appropriate.You might thrive in this role if you:Have a proven track record of leading White Hat initiatives for frontier models or complex AI systems.Bring deep familiarity with LLM behavior, post-training evaluation techniques, and AI safety research.Are highly attuned to failure modes in AI systems—e.g., sycophancy, jailbreaking, and harmful outputs—and can surface these before production.Prefer working in close proximity to research teams rather than commercial or sales-focused environments.Have experience building and scaling high-trust, high-performance technical teams.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 xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the role We're looking for exceptional multimedia engineers and product thinkers who want to make Grok's realtime avatar products the best in the world. What You'll Do Make Grok's realtime avatar products fast, scalable, and reliable. Help push forward audio and gameplay research and deploy breakthrough innovations to millions of users. Obsess over every millisecond and byte, ensuring end-to-end quality and performance at scale across a rich suite of products and user platforms. Who You Are Well-versed in low-latency systems and protocols like WebSocket and WebRTC. Expert in Python, and preferably proficient in Rust. Some iOS experience preferable. In-depth knowledge and experience building high performance media processing pipelines. Obsessed with media quality, performance, and product experience. Tech Stack Python, Rust, WebSocket, WebRTC Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-30 minutes phone interview, during which a member of our team will ask technical questions. If you clear the phone interview, you will proceed to next steps: Deep dive coding challenge Meet and greet with the wider team Our goal is to complete the process within one week. All interviews will be conducted in person when applicable. Location The role is based in Palo Alto. Candidates are expected to be located near the Bay Area or open to relocation. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Product Management at Cohere: Our team is responsible for driving the direction of Cohere’s technology to the world through our interfaces. We’ve released generative models like Command A, Retrieval models like Embed 4 and Rerank 3.5, and products such as North and Compass. At Cohere, PMs work on the core models, APIs, and end-to-end products that serve our enterprises and developers.We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when training and evaluating the models, delivering product, ensuring successful GTM and customer happiness.  About The Search and Embeddings RoleOne of the most exciting applications for generative AI is in its use in Retrieval Augmented Generation (RAG) and Agents - Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search products and Embedding / Cross-Encoder models. The Search and Embedding PM manages the following models and products:Embeddings (Embed-v4.0)Rerank (Rerank-v3.5) Compass (Cohere’s Search Solution) Evaluation of Search performance across all products and models In this role, you will: Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities. Use data and customer engagements to better understand user needs and guide future product and model development.Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing.Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape. Read lots of papers and collaborate with ML on ensuring our models remain SOTA In order to be successful in this role, you have:At least 4+ years of product management experience, understanding customer needs, and launching successful products.At least 1+ years of working on search products and embedding/reranking models.Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics.Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.About the Role As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security.We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems.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.You’ll be responsible for:Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.We’re looking for someone with:Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable).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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Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Forward Deployed Engineer on the Deployment Team at Norm Ai, you will be at the intersection of software engineering and client solutions strategy and delivery. Working directly with our enterprise clients and executive team, you will architect and implement AI-driven compliance solutions which integrate seamlessly into our customer’s existing workflows and deliver substantial value and bottom-line savings.Forward Deployed Engineers are at the leading edge of Norm’s Regulatory AI platform model. They embed with our client teams to build client-specific technical solutions, establish productive long-term relationships with customer SMEs and IT professionals, and sell to executives and other decision makers. They write nimble, high-value code and they close deals.Skills & Experience – CoreBachelors or Masters in computer science or an equivalent field, or equivalent practical experience.2+ years experience writing Python or similar for production use.1+ years of experience working with enterprise customers in a technical client-facing role (Sales Engineer, Solutions Engineer, Forward Deployed Engineer, etc.)Experience writing ETL data pipelines and working with key customer SMEs to map ambiguous customer data into a coherent data modelExperience writing APIs, including working with libraries such as FastAPI.Experience working with a Postgres database or similar.Excited to work/iterate with customers.Skills & Experience – PlusesExperience with React/TypeScript and Next.js.Experience with Dagster or Apache Airflow.Experience working in a startup and handling highly ambiguous requirements and situations.You will be expected to:Lead technical implementation and integration efforts with enterprise clients, ensuring our AI compliance solutions are effectively deployed at the source of business activities inside large enterprises.Work closely with client technical teams to understand their infrastructure, security requirements, and compliance needs.Design and implement scalable ETL pipelines to integrate data in internal customer systems into Norm’s platform.Work closely with relevant client SMEs to map their business data into a structured data model that Norm’s core product can reference to implement precisely tailored customer business logic.Develop client-specific customizations to Norm’s platform to help convert and upsell client accounts where investment is deemed worthy by the client team.Lead enablement sessions with client end-users to educate users on how Norm works and evangelize the upsides our platform delivers for people across all levels of the customer’s organization.Develop and maintain technical documentation for client and partner implementations.Collaborate with our legal engineering team to translate regulatory requirements into practical technical solutions.What Success Looks Like – 30 daysBuild and deploy your first ETL pipeline, demonstrating proficiency with our core platform and customer deployment patterns.Develop a deep understanding of our regulatory AI engine and how it integrates into our customers’ compliance process.Lead technical discovery sessions with our enterprise clients.Create your first end-to-end organization ontology data model for a customer Norm implementation.What Success Looks Like – 60 daysOwn multiple client relationships as the primary technical point of contact.Architect and implement custom solutions for complex client use cases.Contribute improvements to our core deployment framework based on client feedback.Identify and document patterns for scaling deployments across similar client systems.Comp & Benefits$190,000-$250,000 a year + employee equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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Tl;dr — Join Callidus, the most advanced legal generative‑AI platform, as a hands‑on Full Stack Engineer. Work with state‑of‑the‑art AI, an experienced founder‑led team, and a fresh funding round. Competitive total comp. Hustle culture. San Francisco. About CallidusWe are entering the golden era of AI. Over the next 5-10 years, breakthroughs will drive a completely new world. Callidus is on a mission to transform the $1T global legal market and we’re well on our way.Callidus is the most advanced legal generative AI platform on the market today. We offer a uniquely powerful platform, enabling lawyers (as one example) to draft a full 30‑page legal brief in ~10 minutes—saving about a week of effort. We are an engineering‑led organization that empowers talent to build collaboratively toward our mission.More than 1,000 paying lawyers rely on Callidus today, and ARR is growing >20% MoM, putting us in the top 1% of funded startups at this level. We’re ready to scale and are looking to triple the size of our team.We work hard, ship fast, and win together.  Your RoleWe want highly talented engineers that want to be hands-on. We don’t want a bunch of managers. You’ll be an individual contributor Software Engineer (everyone at Callidus is a doer). Expect to:- Design, build, and maintain customer‑facing features end‑to‑end.- Engineer reliable, scalable Gen‑AI workflows (hybrid RAG, agents, chains of thought, etc.).- Collaborate daily with lawyers and product to ship measurable user value.- Own projects like “ingest millions of PDFs and summarize the legally relevant findings for this case”.- Uphold code quality, security, and performance through reviews and automated tests. Seniority LevelHiring for all levels of seniority from mid-level engineer (Software Engineer II, at least 2 years of experience) to staff/principal (~8+ years of experience).This role will report to the CTO. Tech Stack- Cloud: Azure- Backend: Python (FastAPI), Redis, Postgres- Frontend: React / Next.js, Node- AI: OpenAI, Anthropic, Gemini, Meta, Mistral (choosing best‑in‑class per task) What We’re Looking For:Full-stack engineering in Python + React/Next.Proven record of shipping high‑quality products quickly.Experience working with LLM APIs and prompt engineering.Ability to implement sophisticated LLM techniques (hybrid RAG, hallucination guardrails, agentic workflows, agents, etc.).Startup or LLM‑focused‑company experience.Ability to commute to San Francisco office ~3-5 days per week. Soft Skills:Ownership mindset: you do what you say and surface risks early.Ability to work well with ambiguity and low amounts of process.Excellent problem solving capabilities. Passion & Dedication:Genuine excitement for AI and building category‑defining products.Fantastic work ethic & ability to take on a very demanding role (similar culture to xAI, Amazon, Figure, etc.).Understanding that this will be much more than a 9‑to‑5. The high effort is easy when you love what you do, the company you’re building, and the mission you’re fulfilling.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a leader of our AIOM (AI Outcomes Manger) team. The AIOMs are responsible for ensuring that our customers’ end-users successfully adopt and derive meaningful, measurable value from Glean’s AI solutions. The AIOMs perform the following types of activities:  End-user training enablement (company and function sessions, search, chat and agent content), prompt and agent advisory/building and value realization. Ultimately, the AIOMs are responsible for breadth and depth of end-user engagement across our product suite.   You will:  Manage the employee lifecycle for a team of AI Outcomes Managers to drive high-impact customer enablement, advisory/building on our platform and business value realization with Glean’s products. Develop a set of Glean prescriptive adoption playbooks including codifying a set of standard process, templates and assets to drive delivery consistency with our customers Engage with executive sponsors and business stakeholders across priority accounts Partner cross-functionally with the other leaders of the customer organization including:  Solution Architects, Delivery Excellence Managers and Support to ensure Glean is providing a seamless customer journey to our customers Synthesize feedback and business insights from the field, influence Glean’s product roadmap, and collaborate with Product and R&D to shape new features and agent capabilities Design, implement, and report on metrics for the AIOM team demonstrating ROI, adoption, and transformation progress for customers Serve as a thought leader and subject matter expert on AI outcomes and user transformation; evangelize best practices internally and externally. About you:  4+ years of experience in customer-facing, consultative roles (e.g., management consulting, customer success, business transformation, product management, solutions consulting) with an AI/data/enterprise SaaS company. Demonstrated ability to lead teams and drive business transformation through technology adoption. Excellent problem-solving skills and ability to communicate effectively with diverse audiences, from executives to end users. Strong data fluency; comfortable with adoption/ROI metrics and business KPIs. Consultative, creative, and motivated mindset—excited about helping organizations rethink business processes and work styles with AI. Proven product sense and ability to maximize the impact of complex software platforms. Experience facilitating workshops and change management programs for business transformation. Understanding of modern AI capabilities (prompting, agent workflows, LLMs), with ability to coach others on best practices.   Location:  This role is hybrid (3 days a week in our San Francisco or Palo Alto office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.  

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Scale AI’s Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We’re looking for a hands-on Engineering Manager to lead a team of software engineers building core products and infrastructure for these customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. You’ll play a critical role in delivering backend systems, distributed platforms, and ML tooling used by our public sector partners—all while helping your team grow and execute. You’ll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You’ll work cross-functionally with product, security, and customer-facing teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Must be able to commute to office four times per week: Day to day: 50% Software engineering - technical product planning, and coding 50% Managing a growing team. You will: Recruit a high-performing engineering team.  Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.  Collaborating with cross-functional teams to define, design, and execute strategic roadmap. Navigate and deliver outcomes while navigating through complex public sector compliance requirements and frameworks. Design and implement scalable backend systems for Federal customers, leveraging Scale's modern and cloud-native AI infrastructure Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions Contribute to the platform roadmap and product strategy for Scale AI's Federal business, playing a key role in shaping the future direction of our offerings Have or ability to obtain a TS/SCI clearance Ideally you’d have: 5+ years of full-time engineering experience, post-graduation 2+ years of prior engineering management or equivalent experience and has managed an engineering team. Have extensive experience in software development Experience scaling products at hyper-growth startups Excitement to work with AI technologies and their applications for the public sector Extremely strong track record as an individual contributor Show a track record of mentoring and leading teams in successful projects Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders Nice to haves: TS/SCI Clearance Deep technical knowledge of Software Development, willing to get deep into the weeds to solve problems alongside the team. Have experience with AI platforms and technologies, including generative models and LLMs. Have previous experience in government or government facing technology roles Experience with cloud-native technologies, full stack development, data engineering, and ml ops infrastructure 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 Washington DC is:$169,000—$279,000 USDCompensation 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.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$188,000—$311,000 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:$169,000—$279,000 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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San Francisco · Full-time · In-personAbout SolidroadBuilding something great is addictive. It's like discovering your favorite TV show mid-season, except you're helping write the next episode. It's like unboxing a new gadget, except you're the one designing it. You shape how it feels, how it works, and how people react when they use it.At Solidroad we're solving a big, messy, exciting problem: how do you scale customer support without losing what makes humans amazing? Warmth, empathy, intuition. We're using AI, generative tech, and real-time simulations to make this happen. It's ambitious, difficult, and genuinely new.About the roleWe're looking for a senior designer who sees this role as more than just a job. It should feel like signing up for a job and a hobby. Or a job and a triathlon. Or a job and an advanced art course. You'll shape our design decisions, own major parts of our product experience, mentor your teammates, and push yourself in ways you might not expect. It'll stretch your skills and fill your life in a deeply rewarding way. You'll craft impactful designs (product interfaces, brand systems, marketing assets; it's all on the table), and make critical decisions about user experience, visual direction, and product feel. There will be challenging moments, but also regular moments of genuine "wow, we built that" pride.What you'll actually do day-to-dayDesign the Complete Product Experience Stack Architect and build cohesive design systems spanning our entire product, from initial onboarding flows to complex AI interaction interfaces. You'll create designs that handle thousands of customer conversations daily, ensuring every touchpoint feels intentional, polished, and human.Shape Brand Evolution Across All TouchpointsOwn the visual evolution of our website, marketing assets, pitch decks, and product UI. You'll build scalable design systems that maintain consistency while knowing exactly when to surprise and delight users throughout their journey.Drive Exceptional User Experience Standards Set the design standard for intuitive, beautiful interfaces that make AI feel approachable and powerful. You'll ensure our experiences handle complex multimodal interactions seamlessly, mentoring others to achieve the same standard of craft and attention to detail.Our Team & CultureWe're a small, focused group working full-time in our San Francisco office. We're here five days a week because building something ambitious means collaborating closely, solving problems together, sharing ideas spontaneously, and occasionally challenging each other to padel matches, cold plunges, or karaoke evenings. We're intentional about creating a culture that's mature, supportive, and fun. You'll be joining experienced founders who've done this before, alongside a tight-knit team genuinely excited about building something impactful.We hope youHave at least 4 years of design experience, ideally at a startup (Series A to C), where you've helped ship complex, customer-facing products that real people love using.Bring strong design leadership, including experience mentoring other designers, leading design decisions, or owning significant product areas from concept to launch.Have deep expertise in modern design tools, design systems, or AI/tech product design—bonus points if you've worked on notable or challenging projects we can explore together.The good, the bad, and the honest truthThe highs here are incredibly high, direct collaboration with founders who've done this before, significant ownership, and a product you'll feel deeply proud of. The lows are that you'll need to move fast, navigate ambiguity, and sometimes tackle tough design problems solo. But the reality is that startups are a bit like a sport or an instrument: you invest in it not just because you have to, but because you genuinely want to be better tomorrow than you are today.If that sounds exciting, don't second-guess yourself. Get in touch. Send us something you've designed that you're proud of (portfolio, case studies, anything goes) and a short note about who you are and why this feels right to you. We value enthusiasm, ambition, and curiosity just as much as your design experience.

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About the teamThe Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.About the roleAs a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.In this role, you will:Build and maintain automation systems for provisioning and managing server fleets.Develop tools to monitor server health, performance, and lifecycle events.Collaborate with clusters, networking, and infrastructure teams.Partner with external operators to ensure a high level of quality.Identify and fix performance bottlenecks and inefficiencies.Continuously improve automation to reduce manual work.You might thrive in this role if you have:Experience managing large-scale server environments.A balance of strengths in building and operationalizing.Proficiency in Python, Go, or similar languages.Strong Linux, networking, and server hardware knowledge.Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.Prior hardware expertise is not required for this role.Bonus Skills:Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)Knowledge of hardware management protocols (e.g., IPMI, Redfish).High-performance computing (HPC) or distributed systems experience.Prior experience developing, managing, or designing hardware.Familiarity with monitoring tools (e.g., Prometheus, Grafana).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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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s mission is big: enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from exploration to deployment. Mission Description Dataiku today supports 700+ organizations on their AI journey. While our portfolio of customers covers the full span of industries and domains, patterns have emerged, showing particular appetite for our technology within specific industries and domains. We aim to amplify these motions, bring  more focus to high priority market segments, and boost Dataiku’s attractiveness through deep industry and domain understanding combined with platform-embedded solutions to accelerate relevance and value. As part of its development acceleration, Dataiku is looking for an Industry Content Expert to reinforce Dataiku’s Business Solutions team. The Industry Content Experts will be in charge of  Support the development of our industry/domain strategic vision through research, insights collection, structuring and sharing of the right analytics and reports.  Driving content strategy for our industries and solutions assets in strong collaboration with Industry Experts, Account teams  and Marketing team. Leading transversal projects within the team to support the scale of the Business Solutions team and align with all other teams. This role reports to one of the Industry Solutions Directors and, manages an apprenticeship program, and works cross-functionally with different field-facing teams (AEs, SEs, BDRs, CS, SEs, Marketing, Product …).  How you’ll make an impact :  Support the development of our industry/domain strategic vision and drive the resulting content strategy for our industries and solutions assets in strong collaboration with Subject Matter Experts  and  Marketing team Conduct comprehensive research & analysis and summarize key information on industry dynamics, challenges, AI maturity, common AI use cases, and other dimensions relevant to AI Create relevant materials for our go-to-market teams (BDR, Sales, SE,…) to develop our vision of how Dataiku can help companies solve their industry challenges thanks to Data & AI  Create relevant materials to foster the use of Dataiku solutions as powerful accelerators for business outcomes Coordinate with the Marketing team to ensure the timely release of blog posts, web content, and a curated library of assets highlighting our industries and solutions. Lead transversal projects within the team  Define, build, and run transversal projects to scale the impact of the Business Solutions Team (ie. proactively launch new assets/processes/tools to help the team be more efficient) Own and/or contribute to cross-industries projects to support the growth of the Business solutions team.  Your missions will be run in tight partnership with teams across the company, including sales, marketing, customer, services, product management, and technical alliances. Such collaboration requires strong diplomatic skills and the ability to lead small cross-functional project teams. Manage an apprenticeship program   What you need to be successful  Bachelor’s degree in Marketing, Business, or a related field. 3 to 5 years of demonstrated experience leading strategy research, content strategy, development, and execution in a business or technology-focused environment Strong communication, storytelling, and writing skills, with a proven ability to translate technical concepts into compelling narratives (slides, blog posts, go-to-market assets..). Must have a technical mindset -  You are excited to get into Data & AI  and understand how it works, so you can explain it to others and teach them about its benefits. You can demonstrate this mindset through prior experience or examples. Strong appetite for understanding a variety of business processes (internal and external) across several industries and for continuously bridging the gap between business needs and technical answer Very organized, strong project management skills with the ability to lead multiple initiatives simultaneously. Experience in working closely with diverse teams and seniority levels. Fully fluent in English #LI-Hybrid   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Our Client Portal team is searching for early-in-career engineers who will help architect cutting-edge software integrations and revolutionize the user experience for EvenUp customers! If you're passionate about understanding user needs and ready to tackle their pain points head-on, this is your chance to shine. Working closely with our talented engineering squad, you'll spearhead the enhancement of our integration engine while paving the way for future innovations. This role isn't just about coding—it's about making an immediate impact on our business and paving the path for growth opportunities across the organization. Dive into the dynamic world of legal tech and join us in shaping its future.This is a hybrid role with the expectation of working at least 3 days a week from our downtown Toronto or San Francisco hubs.What you'll do:Actively engage in the full project lifecycle across the stack, with full ownership from conception to deployment and iteration.Collaborate closely with backend engineers, product owners & designers to develop efficient, innovative solutions.Collaborate with stakeholders to gather requirements and translate them into technical solutions.Conceptualize the design and development of interfaces and integration architecture.Document technical interface requirements and convert specifications into technical designs.Solve problems with extensive programming skills and abilities in multiple coding languages and frameworks.Optimizing application performance and responsiveness to ensure a smooth user experience.What we look for:Development Experience: 0-2 years of hands-on, relevant experience crafting applications and services, ensuring intuitive and user-friendly experiences.Technical Expertise: Extensive experience in integrating with third-party vendors while designing and implementing efficient and dependable integration frameworks.API Design and Development: Skilled in crafting RESTful APIs adhering to industry best practices and standards, coupled with a willingness to impart knowledge and mentor fellow engineers.Versatile Skillset: Solid grasp of software development fundamentals, encompassing data structures, algorithms, design patterns, and familiarity with various protocols like SOAP, REST, and GraphQL, along with server-side languages like SQL.Skilled Communication: Ability to communicate technical ideas or issues in easy-to-understand and actionable terms.Bonus: experience with React/Typescript and experience in AI, legal tech, and social impact projects.Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About the TeamThe ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe are looking for an experienced and strategic engineering leader to guide our efforts around user growth for ChatGPT. As part of this, your team will improve discoverability, onboarding and the new user experience, social features, and more through strategic bets and rapid experimentation.In this role, you will:Hire and manage a diverse, high-performing engineering teamImprove discoverability, onboarding and the new user experience, social features and moreDefine and track progress against key user growth metrics via rapid, data-driven experimentationCoach engineers to uplevel their impactCreate a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group thinkYou might thrive in this role if you:Have 10+ years of experience in engineering, including 6+ years of experience in engineering managementHave experience building and leading growth engineering in a fast-paced environmentCare deeply about diversity, equity, and inclusion, and have a track record of building inclusive teamsTake pride in both rapid experimentation and in building delightful, reliable product experiencesHave a strong track record of coaching engineers to achieve their peak potentialAre comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessaryHave experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the futureHave a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with 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.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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We’re seeking a talented and dynamic Creative Specialist to join a luxury brand in the jewelry and high-end lifestyle sector. This role is ideal for someone passionate about visual storytelling, social media trends, and content innovation—especially someone who thrives in fast-paced environments and loves shaping how premium brands show up online.You’ll be working closely with our marketing and brand teams to ideate, create, and deliver visually stunning, culturally resonant content across platforms like Instagram, TikTok, Facebook, and paid media channels. Your role will include end-to-end ownership of the content process: from concept to creation to measuring performance. Experience with AI-driven content tools and a sharp eye for luxury aesthetics are key. Key Responsibilities- Leverage AI tools to create innovative, platform-native content that reflects the sophistication of a luxury jewelry brand.- Produce high-quality product imagery and editorial-style storytelling that highlights the craftsmanship and detail of collections.- Develop and execute content strategies tailored for platforms like TikTok, Instagram, Facebook, and meta ads.- Collaborate with designers, photographers, and marketing teams to ensure cohesive, brand-aligned messaging.- Create engaging copy and multimedia for paid and organic social, newsletters, landing pages, and other digital touchpoints.- Drive community engagement, using tools like Sprout Social or Sprinklr to monitor and grow the brand’s digital presence.- Analyze content performance using data tools, and refine strategies based on insights. Basic Qualifications- 4+ years of professional experience in content creation, branding, or social media marketing.- Strong portfolio that showcases visual storytelling, product imagery, and branded content—ideally in the luxury or fashion space.- Proficiency with social media platforms, especially TikTok, Instagram, and Facebook.- Demonstrated use of AI content tools (e.g., Jasper, Midjourney, ChatGPT) in creative workflows.- Solid understanding of paid social media and digital marketing trends.- Excellent visual taste, writing/editing skills, and attention to detail. Preferred Qualifications- Experience with luxury branding or high-end consumer products.- Comfortable writing across channels: paid ads, email, landing pages, and social.- Familiarity with generational and cultural nuances in content consumption (Gen Z and Millennials).- Strong project management and multitasking abilities in a startup or fast-growth environment. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. Our data engineering group is based in our Bangalore, India office. In this role, you will work on customer-facing and Glean employee-facing analytics initiatives: Customer-facing analytics initiatives: Customers rely on in-product dashboards and if they have the willingness and resources, self-serve data analytics to understand how Glean’s being used at their company in order to get a better sense of Glean’s ROI and partner with Glean to increase user adoption.  You’re expected to partner with backend and data science to maintain and improve the data platform behind these operations reflect usage on new features reflect changes on the underlying product usage logs on existing features identify and close data quality issues, e.g. gaps with internal tracking, and backfill the changes triage issues customers report to us within appropriate SLAs help close customer-facing technical documentation gaps  You will: Help improve the availability of high-value upstream raw data by  channeling inputs from data science and business intelligence to identify biggest gaps in data foundations partnering with Go-to-Market & Finance operations groups to create streamlined data management processes in enterprise apps like Salesforce, Marketo and various accounting software partnering with Product Engineering teams as they craft product logging initiatives & processes Architect and implement key tables that transform structured and unstructured data into usable models by the data, operations, and engineering orgs. Ensure and maintain the quality and availability of internally used tables within reasonable SLAs Own and improve the reliability, efficiency and scalability of ETL tooling, including but not limited to dbt, BigQuery, Sigma. This includes identifying implementing and disseminating best practices as well. About you: You have 9+ yrs of work experience in software/data engineering (former is strongly preferred) as a bachelor degree holder. This requirement is 7+ for masters degree holders and 5+ for PhD Degree holders. You’ve served as a tech lead and mentored several data engineers before. Customer-facing analytics initiatives: You have experience in architecting, implementing and maintaining robust data platform solutions for external-facing data products. You have experience with implementing and maintaining large-scale data processing tools like Beam and Spark. You have experience working with stakeholders and peers from different time zones and roles, e.g. ENG, PM, data science, GTM, often as the main data engineering point of contact. Internal-facing analytics initiatives: You have experience in full-cycle data warehousing projects, including requirements analysis, proof-of-concepts, design, development, testing, and implementation You have experience in database designing, architecture, and cost-efficient scaling You have experience with cloud-based data tools like BigQuery and dbt You have experience with data pipelining tools like Airbyte, Apache, Stitch, Hevo Data, and Fivetran General qualifications: You have a high degree of proficiency with SQL and are able to set best practices and up-level our growing SQL user base within the organization You are proficient in at least one of Python, Java and Golang. You are familiar with cloud computing services like GCP and/or AWS. You are concise and precise in written and verbal communication. Technical documentation is your strong suit.  You are a particularly good fit if: You have 1+ years of tech lead management experience. Note this is distinct from having a tech lead experience, and involves formally managing others. You have experience working with customers directly in a B2B setting. You have experience with Salesforce, Marketo, and Google Analytics. You have experience in distributed data processing & storage, e.g. HDFS Location: This role is hybrid (3 days a week in our Bangalore office) We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Agent Software Engineeirng team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 1+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $375K + Offers Equity

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Our PurposeAt Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. With the rise of the internet, trust in AI has been degraded by a plethora of issues like spam, fraudulent transactions, hate speech, and online abuse. Fiddler enables organizations to get ahead of these issues by building trustworthy, transparent, and explainable AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate bias, and drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “why” and how behind model outcomes.  Our FoundersFiddler AI is founded by Krishna Gade (engineering leadership at Facebook, Pinterest, Twitter, and Microsoft) and Amit Paka (two-time founder with acquisitions by Samsung and PayPal and product roles at Expedia and Microsoft). We are backed by Insight Partners, Lightspeed Venture Partners, and Lux Capital. Why Join UsOur team is motivated to unlock the AI opaque box and help society harness the power of AI. Joining us means you get to make an impact by helping reduce algorithmic bias and ensure that models in production across many different industries are transparent and ethical.  We are an early-stage startup and have a rapidly growing team of intelligent and empathetic doers, thinkers, creators, builders, and everyone in between. The AI and ML industry has a rapid pace of innovation and the learning opportunities here are monumental. This is your chance to be a trailblazer.  Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including:  2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.What You'll Do As Fiddler continues to grow, we are always on the lookout for talented and passionate individuals to join our team across various functions. This evergreen requisition is designed to collect resumes from individuals with diverse backgrounds and skillsets who are interested in contributing to our mission of building trust into AI. We encourage applicants from all fields, including but not limited to:Software Engineering (Backend, Frontend, Full Stack, Data, Infrastructure, AI/ML)Data Science and Machine LearningProduct ManagementDesign (UX/UI, Product Design)Business OperationsGTM (Sales, Pre-sales, Post-sales, Customer Success, Marketing)Customer Success and SupportYou will contribute to shape the future of AI Observability, working collaboratively with cross-functional teams to solve complex problems and drive innovation. We seek individuals who are eager to learn, adapt quickly, and thrive in a fast-paced, multi-functional startup environment. You will be expected to continuously look for ways to improve our products, processes, and customer experience. What We're Looking For We are interested in individuals with a wide range of experiences and educational backgrounds. While specific requirements will vary by role, we generally look for:A passion for AI and its potential to impact society positivelyStrong problem-solving abilities and a desire to tackle challenging technical and business issuesExcellent communication and collaboration skills, with the ability to work effectively across distributed teams and time zonesA proactive and ownership-driven mindsetA commitment to continuous learning and professional developmentRelevant experience in your field of expertiseNice to HaveExperience in developing Data analytics / Application observability and monitoring solutionsExperience with large language modelsCompensation and In-Office PolicyPay Range in San Francisco Bay Area variesFiddler HQ (Palo Alto) operates as a hybrid company, with in-office requirements based on your location in the Bay Area. Depending on your proximity, employees are expected to be in the office 1-3 days per week.The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleFrom transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural language processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors. What You'll DoAdvance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.Actively contribute to the wider research community by sharing and publishing original researchHelp to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production.Dial deeply into real-time feedback from clinicians to guide further refinements and innovationsBe results-oriented in the face of ambiguous problems and uncertain outcomesWhat You'll BringStrong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience.High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR).Significant real-world impact, as demonstrated through open source contributions and deployed technology.Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview Join Labelbox as a Technical Program Manager, where you will lead high-impact initiatives at the intersection of data and AI. This is an opportunity to take charge of complex, high-stakes projects, bringing together talented project managers and engineers to deliver exceptional results for our GenAI lab partners. You will guide cross-functional teams in the execution of advanced data annotation projects that power next-generation AI solutions. With autonomy and authority, you’ll have the freedom to innovate and the responsibility to execute with precision, speed, and craftsmanship. We’re looking for a strategic thinker who thrives in fast-paced, high-pressure environments. If you’re someone who can confidently take ownership of challenges and deliver excellence, this is your chance to shine. Your Impact Lead cross-functional AI initiatives – Manage and execute high-stakes AI data projects, ensuring technical and operational excellence. Partner with AI Labs – Collaborate to define project requirements, success metrics, and quality measurement frameworks. Translate strategy into execution – Break down abstract goals into clear action plans, leveraging existing tools and building new solutions as needed. Unblock yourself and the team – Proactively identify and resolve dependencies, leveraging your technical expertise to keep projects moving. Communicate with precision – Provide stakeholders and leadership with clear, actionable updates, ensuring alignment and proactive risk mitigation. What You Bring A bachelor’s degree, or higher, in computer science, engineering, or related STEM fields.Working proficiency in SQL and Python  Familiarity with BI tools, like Looker, to track performance and visualize key insights. Familiarity with tools like JIRA, Asana, or Notion to track project progress and drive execution. Ability to bridge the gap between technical and operational teams, translating complex requirements into clear execution plans. You thrive in high-stakes, fast-paced environments – You’re energized by solving complex challenges and driving high-impact initiatives with urgency and precision. You take ownership and move fast – You don’t wait for direction; you proactively identify opportunities, tackle roadblocks, and drive execution. You’re an operational powerhouse – You have a knack for building and refining scalable systems, ensuring efficiency, quality, and seamless execution. You thrive in ambiguity – You can navigate shifting priorities with ease, making smart decisions even when the path forward isn’t fully defined. A strong understanding of how LLMs work and of prompt engineering. Alignerr Services at Labelbox As part of the Alignerr Services team, you'll lead implementation of customer projects and manage our elite network of AI experts who deliver high-quality human feedback crucial for AI advancement. Your team will oversee 250,000+ monthly hours of specialized work across RLHF, complex reasoning, and multimodal AI projects, resulting in quality improvements for Frontier AI Labs. You'll leverage our AI-powered talent acquisition system and exclusive access to 16M+ specialized professionals to rapidly build and deploy expert teams that help customers like Google and ElevenLabs achieve breakthrough AI capabilities through precisely aligned human data—directly contributing to the critical human element in advancing artificial intelligence.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$140,000—$170,000 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.