AI Software Engineer Jobs

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About Durable: Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 10 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What you’ll do: We're looking for a frontend engineer to craft high-performance, beautiful interfaces that bring durable’s ai-native experiences to life. you’ll own everything from our design system to pixel-perfect interactions, collaborating closely with design and product to deliver a best-in-class experience for small business owners. At Durable, every engineer is expected to build AI features end to end and use AI in their workflow every day. Key responsibilities: Build and maintain responsive, performant, and accessible web interfaces Implement elegant interaction design using animation, motion, and state management Collaborate with design to translate figma prototypes into production-ready code Own and evolve Durable’s component libraries, design system, and frontend architecture Work with product to create seamless end-to-end features Optimize for speed, maintainability, and developer experience in the browser Contribute to performance monitoring, testing, and tooling What you'll bring: 3–6+ years of experience building production-grade web applications Strong proficiency in React, Typescript, and modern frontend tooling Expertise in TailwindCSS and component-driven development (Storybook, RadixUI) Experience with TRPC, Tanstack Query, and state management patterns Eye for detail in ui/ux, animation, and design fidelity Track record of building performant, scalable, and maintainable frontend systems Collaborative and pragmatic mindset; thrive in a fast-paced startup environment Bonus: experience with Rive, Vercel, AI-driven products, and/or b2c/b2b2c platforms Why join us?  At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Hybrid flexibility & Gastown HQ: Our well-stocked Vancouver office offers stunning views of the North Shore, and while we value in-person collaboration, you're free to work from home when you need to. Mondays and Thursdays are our in-office anchor day. Comprehensive benefits: Health and dental coverage to support your well-being. Home office stipend: Receive a stipend to create a comfortable and productive workspace. Professional development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Commitment to engineering excellence: We care deeply about our craft and build using the most AI-native stack and tools available. Location Ideal candidates are based in Vancouver. We may consider those based remotely in Canada on a case-by-case basis.  Compensation Base salary range is $165,000-$225,000 CAD, plus equity. This range is relevant to candidates located in Vancouver, Canada. Actual compensation will be based on a combination of factors including experience and skill level. Recruitment process This is our typical recruitment process. It may vary a bit but generally this is what you can expect to take place over the span of several weeks. Recruiter screen (Online, 15-20mins) Hiring Manager screen (Online, 15-20mins) Behavioural (On-site, 30mins) Technical Interview (On-site, 90mins) Group Chat (Online or On-site, 25mins) References + Offer The behavioural, technical, and group portions are often completed at the same time at our office. Our tech stack Languages: TypeScript, SQL, Bash, HTML5, CSS3 Frameworks/Libraries: React, NextJS, Tanstack Query, React Native, Expo, TailwindCSS, RadixUI, DrizzleORM, TRPC, NodeJS, Zod, WebRTC, Rive Tooling: Storybook, Turborepo, ESLint, Prettier, Playwright, NPM/PNPM, Git, AI codegen Databases: Postgres (including PGVector and JSON), S3 compatible object stores, Clickhouse Infrastructure: Docker, Vercel, Trigger.dev, OTel, Groq, Hugging Face, , Langfuse AI engineering: Large Language Models, Multi-Modal Models, Image Generation, In-painting, Voice Models, Vercel AISDK AI concepts (learn over time): Generative UI, Streaming, ReAct, CoT, Multi-agent systems, Guardrails, Evals, Vector databases, RAG, Embeddings, Fine-tuning, Diffusion Models, MCP, and more.    

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Job Description: Enterprise AE EMEA Location:  UK (ideally commutable distance to London) Role: As an Enterprise Account Executive at Together, you will play a critical role in driving AI innovation by securing high-value enterprise accounts. You’ll focus on building and expanding relationships with some of the largest companies in the world, helping them leverage Together’s product suite to achieve transformative outcomes. You’ll work cross-functionally with product, engineering, and research teams to deliver the most impactful solutions, running proof-of-concepts (POCs) and identifying strategic opportunities to scale within accounts. The ideal candidate is a seasoned sales professional with a technical background, a proven track record of landing and expanding enterprise deals, and has a passion for AI, machine learning, or infrastructure products. Key Responsibilities: Close Large Enterprise Deals: Own the end-to-end sales process, from generating pipeline to closing high-value, strategic enterprise deals. Drive Expansion Opportunities: Identify and capitalize on opportunities for growth within existing accounts, becoming a trusted partner to key decision-makers. Manage POCs: Collaborate with internal technical teams and clients to design and execute successful proof-of-concepts that demonstrate the value of Together’s AI solutions. Pipeline Generation: Consistently generate and manage a robust pipeline, identifying new business opportunities and strategically positioning Together’s offerings. Collaborate with Product Teams: Bring the voice of the customer into product discussions, ensuring Together’s solutions align with enterprise needs and market trends. Community Engagement - Plan and host community events within target geographies to strengthen TAI’s brand presence and build awareness across the AI ecosystem Partner Engagement - Drive partner engagement initiatives to deepen relationships, expand collaborations, and amplify TAI’s presence within the AI ecosystem Requirements: 7-10 years of sales experience, with at least 1-3 years focused on strategic enterprise selling. Strong technical background, with experience in sales of AI/ML and/or infrastructure products strongly preferred. Proven success in closing large enterprise deals and expanding relationships within complex organizations. Ability to lead and manage POCs, working closely with technical teams to ensure success. Excellent communication skills, with the ability to engage effectively with both C-level executives and technical teams. Highly adaptable, proactive, and thrives in a fast-paced environment. Demonstrated ability to consistently meet or exceed revenue targets and pipeline generation goals. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy    

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

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

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

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Our Mission:At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost. Our Vision:We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.The Role:As our Technical Project Manager, you are presented with a unique and exhilarating challenge: to seamlessly bridge the gap between customer requirements and our cutting-edge robotic solution. In this role, you will lead the planning, coordination, and execution of robotic cell deployments, including overseeing the delivery process to customer sites. You will ensure that projects are delivered on time, and to the highest standards of customer satisfaction, including the efficient completion of factory and site acceptance tests. You will act as the crucial link between our customers and R&D team, translating complex technical requirements into actionable plans while fostering strong, lasting relationships. Additionally, you will be instrumental in driving new business opportunities within our existing customer base, contributing to our mission of revolutionising manufacturing automation.What You'll Do:Lead the planning, coordination, and execution of robotic cell deployments, ensuring timely and within-budget delivery of projects.Assess and communicate project status, manage escalations on potential risks and delays across multiple teamsFrequently travel to customer sites (Europe)Collaborate directly with customers to gather and document requirements, conducting on-site evaluations to tailor our solutions to their specific needs.Analyse team efficiency to continuously refine program management processes to enhance productivity, collaboration, and execution speed.Act as the communication bridge between customers and our R&D team, translating technical requirements into actionable plans.Oversee the completion of factory and site acceptance tests (FAT/SAT) to ensure the robotic cell meets all operational requirements.Who You Are:A skilled and experienced project manager with a deep understanding of manufacturing and automationA proactive communicator who excels at bridging the gap between technical teams and customers.Passionate about customer success, with a proven ability to build strong relationships and drive business growth.Detail-oriented with strong problem-solving skills, ensuring projects are executed smoothly and efficiently.Capacity to work with multidisciplinary teams including AI, mechanical, electrical and other engineers to develop complex robotic systemsAdaptable and resilient, thriving in a fast-paced, rapidly evolving startup environment. Problem solver with excellent verbal/written communication skills and the ability to lead cross-functional process improvements.Insatiably curious and open minded.Proficient in data analytics, metrics, dashboards, and insight generation to drive decisions.Good to Have:Experience deploying robotics or automation systems in industrial settingsExperience working with global, cross-cultural teams and managing geographically distributed resourcesStrong knowledge of manufacturing processes and the ability to quickly assess workstation suitability for automationProven project management experience in manufacturing or automation industriesFamiliarity with automation technologies and ability to gather and interpret technical requirementsStrong ability to build and maintain customer relationships, ensuring clear communication and satisfaction throughout projectsExperience with procurement, vendor management, and technical sourcingWhy Sunrise Robotics?Play a pivotal role in defining the future of intelligent robotics and manufacturing.Be part of a company that is at the forefront of technological innovation, with a clear mission and vision.An opportunity to build and lead and design a culture that will set a new standard in the industry.Competitive compensation, including equity, and a work environment that values innovation, learning, and excellence.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.   What You’ll Work On Leverage scientific methods to improve ads measurement. Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.   What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills.   #LI-AK1

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Who are we?Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore. This will be a hybrid role where we expect employees to work from office three days a week.Who are you?We are seeking an experienced Enterprise Software Engineer to join the Ema team in India. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.You will:Develop and maintain enterprise software applications, including API, data, application, and service developmentWrite clean, efficient, and maintainable code by employing test-driven development process.Build scalable and reliable back-end systems using languages like Go and PythonDevelop and maintain APIs using REST, gRPC or GraphQLIntegrate multiple enterprise applications and services using a scalable framework like FastAPIBuild and maintain data schema using PostgreSQL, Redshift etc.Knowledge of front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or AngularEnsure that applications are secure and adhere to industry best practicesContinuously improve software development processes and practicesIdeally, you'd have:Bachelor's degree in Computer Science or related field.At least 4 years of relevant work experience.Solid background in algorithms, data structures, and object-oriented programmingExperience in back-end development using languages like Python and GoKnowledge of database technologies like PostgreSQL, Elastic, Redis.Knowledge of designing and building API platforms and integration systems.Experience with cloud technologies like GCPExperience with containerization technologies like Docker and KubernetesExperience with integrating multiple enterprise applications, including frameworks and authentication.Understanding of security best practices and protocols for enterprise software applicationsExperience deploying software in multi-tenant SaaS environments.Knowledge of front-end technologies such as HTML, CSS, JavaScript, and front-end frameworks like React or AngularStrong problem-solving skills and attention to detailAbility to work independently and as part of a teamExperience working with global teamsEma Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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

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

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.At Tenstorrent, we build computers for AI, and the developers shaping its future. Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment. We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation. The Deputy BD Lead will support the amplification of this sovereign AI strategy by identifying opportunities, managing client relationships, and supporting go-to-market execution across the Gulf Cooperation Council (GCC) region. Reporting to the BD Lead for GCC region, this position will work closely with both regional leadership and global counterparts to build an Open Future.  This role is hybrid, based out of Dubai, UAE or Abu Dhabi, UAE. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Passionate about sovereign AI solutions and open source software. Commercially minded with strong business development and client engagement skills. Thrive in fast-paced, high-growth environments and can balance strategic thinking with hands-on execution. A confident communicator, able to engage and collaborate effectively with senior stakeholders, partners, and customers. Results-oriented, organized, and capable of managing multiple opportunities simultaneously.   What We Need Experience in the AI hardware or software market, with an understanding of ecosystem dynamics and emerging trends, including enterprise, government, and strategic partner landscapes. Strong relationships with GCC-based clients, system integrators (SIs), and independent software vendors (ISVs)  Proven track record in pipeline development, client relationship management, and closing commercial opportunities. Experience working with cross-border teams and managing multi-stakeholder initiatives. Fluency in English is required. Proficiency in Arabic is highly preferred.   What You Will Learn To throw out the old playbook and drive strategic growth in the rapidly evolving AI hardware and software ecosystem. Go-to-market strategies across the GCC from start to finish Negotiating strategic partnerships with enterprises, governments, and ecosystem partners. Building a regional network while collaborating with global BD, product, and technical teams. Deeper expertise in market analysis, sales operations, and deal execution.   Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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

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About the teamThe Solutions Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, partnering directly with founders and technical teams to design, build, and scale new AI products on OpenAI. About the RoleWe are seeking a technically proficient, product‑minded Solutions Engineer to help push the frontier of advanced AI with our startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Architecture, Applied Research, and Product teams, and you will report to the Startups Solutions Engineering Lead.This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Partner closely with startups as their technical thought partner to build novel applications on our API, helping them move rapidly from initial concept to production at scale.Create and deliver repeatable guidance for the broader startup ecosystem by publishing best practices, sample apps, deployment patterns, and technical playbooks, and by leading workshops, office hours, hackathons, and founder roundtables.Collaborate with Product and Research to ensure our models and platform continue to deliver frontier-level performance on real startup workloads.Synthesize high-fidelity product and model feedback from a broad portfolio of startups and translate it into clear, prioritized requirements that shape our roadmap.You’ll thrive in this role if you:Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued.Have passion for startups and a belief in their potential to become future large enterprises.Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices.Built and/or delivered prototypes on top of our API platform.Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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

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About the TeamOpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, and institutions shaping the future of AI.The Global Affairs team leads this engagement. We cultivate authentic, collaborative relationships with public officials, regulators, community stakeholders, and the broader AI policymaking community to ensure that diverse perspectives inform our work. By bringing external insights into OpenAI and sharing our own learnings transparently, we help advance thoughtful regulation, responsible industry standards, and governance frameworks that promote the safe and beneficial development of AI technologies.In close partnership with our research, product, and policy colleagues, the U.S. Policy and Partnerships team leads our Global Affairs engagement in the U.S. at the federal, state, and local levels, working across regions to anticipate emerging issues, craft forward-looking strategies, and champion policies that align technological progress with human values. Our mission is to help shape the global conversation on AI and ensure that the benefits of this transformative technology reach people everywhere.About the RoleOpenAI is seeking a visionary, strategic, and highly accomplished leader to serve as our Head of U.S. State Policy and Partnerships. In this role, you will lead a team of public policy professionals to drive OpenAI’s policy engagements across the various states, territories, and municipalities in the United States. You will shape state and local campaigns, partnerships, and high-level government engagement to advance OpenAI’s mission while navigating complex regulatory environments. Reporting to the Head of US and Canada Policy and Partnerships, you will lead a team of seasoned advocates who are engaging with all levels of state and local government and shaping AI policy debates and outcomes.This role is based in San Francisco, CA or Washington, DC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Strategy & leadership: Set and execute the State and Local strategy, ensuring alignment with OpenAI’s priorities and leveraging all available campaign tools to drive good policy – while serving as part of senior leadership of U.S. and Canada Policy and Partnerships team.Team management: Lead and develop a high-performing team of senior policy professionals across multiple states, fostering inclusivity, growth, and integrity.Policy & political engagement: Cultivate direct relationships with governors, state legislators, mayors, and local leaders; anticipate and shape legislative, regulatory, and political trends; advise executives on political risk and policy positioning.Partnerships & campaigns: Design and execute state and regional campaigns and partnerships with governments, universities, industry, and third party groups; support key campaigns like Stargate/infrastructure.Cross-functional collaboration: Work closely with research, engineering, product, legal, communications, finance, and industrial compute teams to align policy strategies with technical roadmaps and business objectives.Representation: Represent OpenAI external events such as conferences, summits, and government meetings.You’ll thrive in this role if you:Are a seasoned leader at the intersection of technology and public policy, comfortable working in dynamic, fast-paced, and rapidly evolving environments.Inspire and develop diverse teams, empowering colleagues to excel while maintaining accountability and high ethical standards.Are willing to roll up your sleeves – with humility and good nature – and do the work with teammates in a high-energy, start-up, campaign environment.Enjoy building coalitions and thrive both independently and as part of a high-performing, peer-led team.Are a strong communicator and public advocate who can translate complex technical and policy concepts into compelling narratives for diverse audiences.Embrace cross-functional collaboration and can unify technical, legal, commercial, and operational stakeholders around a shared mission.We’re looking for a blend of:15+ years of experience in state government, technology policy, or a related field, including senior leadership roles.Established credibility and relationships with state and local leaders, including governors, mayors, and state legislators.Proven ability to lead high-stakes policy campaigns, shape legislation or regulation, and build partnerships across multiple states.Demonstrated success managing and developing high performing teams.Deep knowledge of state political and regulatory ecosystems, with a strong grasp of AI-related issues such as safety, privacy, competition, and infrastructure.Exceptional judgment, integrity, and political instincts with a proven ability to build consensus across diverse stakeholders, advance bold ideas, and deliver results in fast-moving, dynamic environments.Outstanding communication, negotiation, and interpersonal skills with a track record of influencing senior stakeholders.Experience working across functions (e.g., legal, research, communications, commercial) to develop coordinated strategies and deliver results.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role As an Applied Data Center Design Engineer, you’ll own the “last mile” of cluster architecture - transforming high-level design specifications into efficient, real-world deployment blueprints for servers, storage, networking, and cabling. You’ll be responsible for customizing data center and rack-level designs based on specific cluster requirements - adapting layouts, power, and connectivity to optimize performance, scalability, and reliability. When real-world constraints like space, power, or supply chain limitations arise, you’ll make smart trade-offs to deliver practical, deployable solutions. This role combines hands-on problem solving with automation and tooling - you’ll also help design and build the frameworks that make each new deployment iteration faster, smarter, and more consistent across sites. It’s a great opportunity for someone early in their career who enjoys working at the intersection of hardware, software, and operations, and wants to shape the foundation of large-scale compute infrastructure. Responsibilities Translate cluster and rack-level design specifications into deployable blueprints for servers, storage, networking, and cabling. Customize rack-level designs to meet unique cluster requirements, ensuring power, thermal, and network connectivity are optimized for each deployment. Collaborate with operations team to validate and adapt designs based on site-specific constraints (e.g., power, cooling, space, logistics). Identify and implement automation and tooling to streamline BOM generation and design validation. Participate in data center deployment reviews, ensuring alignment between design intent and implementation. Support issue triage and root cause analysis for deployment-related or physical integration problems. Skills & Qualifications Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field — or equivalent practical experience. 1–3 years of experience in infrastructure engineering, data center design, or systems deployment, creating rack elevations, bill of materials (BOMs), and port/cable maps. Familiarity with servers, networking, and storage hardware. Basic proficiency in scripting or automation (e.g., Python, PowerShell, or Bash). Strong analytical and problem-solving skills with attention to detail. Excellent communication and teamwork skills across multiple engineering disciplines. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewWe’re looking for a founding member of Reflection’s Applied AI team, responsible for building our Forward Deployed Engineering function. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a founding Forward Deployed Engineer, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.Key ResponsibilitiesPartner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.Build agentic solutions leveraging state-of-the-art models, orchestrating complex LLM workflows, integrating with enterprise infrastructure, and deploying robust production systems.Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.Lead end-to-end deployment across hybrid environments (public cloud, VPC, or on-premises), ensuring scalability, performance, and reliability.Shape the Forward Deployed Engineering organization by defining playbooks, processes, best practices, and technical foundations to support the team's growth.QualificationsStrong software engineering background with experience shipping production-grade systems (Python, Typescript)Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About the Team At Snorkel AI, we are pioneering new approaches to data development. Are you driven by solving challenging problems and delivering exceptional results? Snorkel AI is seeking an Operations Manager. As an Operations Manager, you will manage and optimize processes, ensuring high-quality outcomes and seamless delivery. This role blends operational rigor, analytical thinking, and cross-functional collaboration, offering a unique opportunity to make a significant impact. About the Role Build and refine ticketing processes to streamline operations and improve response times Design and implement automated form processes that reduce manual work and improve data collection Create automated email workflows to enhance communication and operational efficiency Develop custom queries to extract actionable insights from operational data Leverage Zapier, Airtable, and other no-code/low-code tools to connect systems and automate workflows Data & Insights Design scalable data workflows that leverage internal tools, external vendors, and various pieces of automation Drive faster decision-making abilities for the team by exposing key insights from within the process Determine user information that is missing, which leads to user experience improvements Cross-Functional Impact Maximize marketplace efficiency and work with cross-functional partners to raise issues and implement corrective actions Grow our user base through implementation of retention and incentivization programs Partner with teams across the organization to identify operational bottlenecks and implement solutions Manage external partnerships and be a point of contact for them in resolving issues About You 3+ years of experience in operations, project management, or related roles Proven track record of building and optimizing operational processes from the ground up Strong analytical skills with experience creating queries and extracting insights from data Excellent project management abilities with attention to detail and follow-through Experience with process automation tools (e.g., Zapier, Make, or similar platforms) Proficiency with collaboration and database tools (Airtable experience a plus) Strong communication skills and ability to work effectively with cross-functional teams Basic Requirements Experience with CRM systems Familiarity with SQL or other query languages Background in technical operations or working with engineering/product teams Experience in a fast-growing startup or technology company Knowledge of email automation platforms Personal Attributes Self-starter who thrives in ambiguous environments and can build structure from scratch Systems thinker who can see the big picture while managing detailed execution Problem-solver who enjoys identifying inefficiencies and implementing creative solutions Collaborative team player who can influence without authority Continuous learner excited to pick up new tools and technologies    Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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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 Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are bringing joy back to the practice of medicine, and we’re looking for experienced backend software engineers to join our growing US-based engineering team. You’ll be an inaugural member of a new team forming to build the data + processing foundations we need to support our continued growth. You’ll work primarily in Typescript and Node, and you’ll deploy on platforms like Kubernetes and Temporal.What You'll DoDesign, build, and support the robust cloud-native applications, services, and APIs we need for our rapidly-growing business. Sample projects might include building a new processing pipeline or overhauling our data storage services to support increasing scale.Research commercial and open-source solutions, and make build vs buy recommendations to bring new capabilities into the technology organization.Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security. Make quality-of-life improvements to the codebase, and help limit the growth of technical debt.Build deep user empathy and maintain a user-centric mindsetCommunicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines including product, machine learning, and platform engineering, and will have opportunities to learn from and contribute to projects across the company.What You’ll Bring7+ years of software engineering experience with either: (1) Proven track record of rapidly mastering new technologies and languages - you're the engineer who can pick up TypeScript/Node and be productive quickly, or (2) Deep specialization in Node.js backend development - you've built complex, scalable Node-based systems and know the ecosystem inside and outExperience building and deploying a complex backend system utilizing TemporalPassion for engineering excellence, and a love for data and architecture Several years of experience building software for a regulated environment, and understand the tradeoffs that can be required to ensure compliance with regulations and frameworks such as HIPAA, SOC 2, and HITRUSTKnowledge of industry best-practices and trends, and an enjoyment of learning new thingsWilling to pitch in wherever needed - as a fast-moving startup we need to do good work, quicklyStrong plus for ability and desire to work in San Francisco or New York on a hybrid working basisMust 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.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!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.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.