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About the TeamWithin the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.About the RoleAs an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.This role is open to remote employees, or relocation assistance is available to San Francisco.In this role, you will:Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.Monitor internal and external systems for security threats and respond to alerts.Contribute to and enforce our company's IT and Security policies and procedures.Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.You might thrive in this role if you have: Experience in protecting and managing macOS fleets.Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).Knowledge of modern adversary tactics, techniques, and procedures.Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction..About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamAt OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.In This Role, You Will:Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.You Might Thrive In This Role If You:Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamWithin the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.About the RoleAs an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.This role is open to remote employees, or relocation assistance is available to Seattle.In this role, you will:Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.Monitor internal and external systems for security threats and respond to alerts.Contribute to and enforce our company's IT and Security policies and procedures.Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.You might thrive in this role if you have: Experience in protecting and managing macOS fleets.Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).Knowledge of modern adversary tactics, techniques, and procedures.Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction..About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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

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

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

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About 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.   About the role Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.   Responsibilities Design, develop, and maintain RESTful APIs using Python. Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot. Design and develop data pipelines using Apache Airflow and Apache Spark. Work closely with cross-functional teams to develop automation tools that streamline daily operations. Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability. Address queries from applications in a timely and effective manner, ensuring high client satisfaction. Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations. Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.   About you [Minimum qualifications] BS/MS degree in Computer Science 2+ years of experience in building and operating large-scale distributed systems or applications Experience in Kubernetes development, Linux/Unix Experience in managing data lake or data warehouse Expertise in developing data structures, algorithms on top of Big Data platforms Ability to operate effectively and independently in a dynamic, fluid environment Ability to work in a fast-moving team environment and juggle many tasks and projects Eagerness to change the world in a huge way by being a self-motivated learner and builder [Preferred qualifications] Experience working with ClickHouse is a big plus Contributing to open source projects is a huge plus (please include your github link) Experience working with Python, Scala/Java is a plus Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus   Experience with Public Cloud like AWS or GCP is a plus    #LI-AK1

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About the roleAs a Deployment Strategist at Greenlite, you'll lead the charge deploying AI agents in highly regulated banking environments that help banks and fintechs fight financial crime at massive scale. You'll work directly with our biggest customers ensuring our AI deployments solve real customer problems while driving expansion of our enterprise contracts. Your deployment work is informed by real customer needs and impacts our entire platform, so you need to build strong relationships, work effectively with go-to-market and engineering teams, understand complex banking workflows, and adapt quickly.You're an exceptional deployment strategist who understands that financial institutions need customized guidance when adopting AI for compliance workflows. You'll synthesize disconnected streams of customer problems into understanding what the most important challenges are, what the data means, what the product needs, and where the impact could be. You're not just implementing solutions—you're building deployment strategies based on what our most sophisticated customers actually need for their compliance operations.Please Note: We work in-person Monday through Friday in our SF office.What you'll doMonth 1:Master our AI agent platform and understand complex banking compliance workflowsShadow experienced team members on live customer deployments and enterprise demosBuild and deliver your first demos to prospective customersMonth 2:Own end-to-end deployment strategy for major bank and fintech enterprise contractsLead customized workflow implementations and training sessions for new customer user groupsPartner with go-to-market and engineering teams to turn field insights into cross-company product offeringsBecome the go-to expert for AI agent deployments in regulated environmentsOngoing:Lead AI agent deployments in highly regulated banking environments that meet the highest quality standardsCollaborate with go-to-market teams to expand enterprise contracts and identify new use cases for customer workflowsPresent results and proposals to audiences ranging from analysts to C-suite banking executivesEmbed with product and engineering teams to incorporate customer insights into platform improvementsWhat we're looking for3+ years of experience in B2B customer-facing technical roles, preferably in fintech or enterprise SaaSBackground in AI deployment, product management, or strategy consultingExperience working with highly regulated industries, especially banking or financial servicesAbility to translate complex technical concepts into clear, actionable insights for non-technical stakeholdersExceptional communication skills and ability to build relationships with banking executivesAbility to roll up your sleeves and dig into the most granular problems for enterprise customersComfortable in fast-paced environments with willingness to travel as neededBonus points:Experience with programming, scripting, or statistical packages (Python, R, SQL)Previous experience at startups scaling customer deployments for enterprise clientsBackground in compliance, risk, or financial services operationsExperience presenting to C-suite executives and building executive relationshipsAbout youYou're a deployment strategist who thrives at the intersection of technical solutions and customer success. You understand that effective deployment strategy means diving deep into customer workflows to build solutions that solve real business problems, not just implementing generic software. You're comfortable balancing technical complexity with relationship building, and you want your deployment expertise to have direct, measurable impact on how financial institutions adopt AI to fight crime.Compensation & Benefits$130k - $170k + equityComprehensive healthcare, 401k matching, commuter benefits15 days PTO + holidays, unlimited sick daysFlexible leave optionsWorking late? We've got you covered with DoorDash and an Uber homeJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.

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About Appier  Appier is a SaaS company that uses 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. About the Role As a Sr Product Manager at Appier you will utilize your understanding of the local Japan market and competitive landscape, support customer engagements, identify product opportunities and define/execute GTM penetration strategy in collaboration with the local Enterprise team.  Responsibilities: -Engage with our customers, prospects and partners, develop a deep understanding of their needs, and stay close to latest global and local market trends to define forward-looking product strategy and business plans for Appier's data products -Work cross-functionally to create innovative and differentiating solutions that delight our customers and market them effectively to reach our business goals -Facilitate communications internally and externally and enable customer success teams and partners to maximize business impact -Develop product documentation, thought leadership, customer presentation and other content assets that drive success of our customers and our business   Ideal Experience: -7+ years of experience in product management, with proven track records of working with user experience design and product development teams to build products for enterprise customers -Fluent in both Japanese and English -Experience in marketing technology as a solution provider or as a user with proven track records of product & solution ideation, or equivalent experience to show strong understanding of digital marketing and advertising ecosystems -Experience working with go-to-market teams on product positioning, competitive research, pricing, packaging, product launches, among other go-to-market considerations -Experience working/liaising with external partners towards joint business goals -Excellent communications and presentation skills to articulate product ideas to both technical and non-technical audiences across all levels -Self-starter mindset to solve ambiguous problems with minimal guidance. Experience operating in a hyper-growth/entrepreneurial environment, scaling new and emerging products from the ground-up -Experience in building and/or enabling AI products

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

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Software Engineer on our Applied ML team you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Cohere's stack.In this role, you’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally!In this role, you will: Own and build large new areas within our product.Work across the backend, frontend, and interact with Large Language Models.Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations.Work across the entire product lifecycle from conceptualisation through production.This career opportunity may be a good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js.Experience building ML infrastructure and AI-powered solutions.Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index.A track record in scaling products at hyper-growth startups.Strong written and verbal communication skills.Ability and interest to travel up to 25%, as needed to client sites, but flexible based on personal preferences.Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain.Experience in Information Retrieval systems for document question answering.Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform Conduct use case discovery workshops and turn those use cases into tangible outcomes  Collaborate internally with Product and R&D to help shape Glean’s product roadmap based on the voice of our users  Proactively identify opportunities to expand Glean’s deployment and enhance customer engagement About you: 2+ years of professional experience  Hungry, curious, and consultative mindset Strong problem-solving skills with the ability to adapt to different users and scenarios Proven understanding and ability to write complex prompts  Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions Excellent communication skills to effectively interact with multiple stakeholder groups Product sense and ability to drive a product’s full potential capabilities Good to have: Customer presence: ability to work with any level from individual contributors to CEOs Prior experience in consultative roles, solutions engineering, support, or product management Location:  This role is remote #LI-Remote  

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

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About Model Shaping The Model Shaping team at Together AI works on products and research for tailoring open foundation models to downstream applications. We build services that allow machine learning developers to choose the best models for their tasks and further improve these models using domain-specific data. In addition to that, we develop new methods for more efficient model training and evaluation, drawing inspiration from a broad spectrum of ideas across machine learning, natural language processing, and ML systems. About the Role As a Research Scientist in Post-Training, you will advance the methods for making foundation models more useful and reliable. You will analyze the limitations of current approaches to post-training across domains such as data curation, reinforcement learning, and model evaluation. Based on this analysis, you will design new techniques for model adaptation, as well as benchmarks for measuring the progress in the field. After evaluating your ideas through experimentation, you will present your findings to the global scientific community at leading ML/NLP conferences and collaborate with your teammates to integrate those improvements into Together’s platform. Responsibilities Define and drive the research agenda around efficiency and performance of foundation model training Study recent results from the broader AI research community, analyzing their relevance to the team’s research directions and ongoing projects Conduct experiments to empirically validate your hypotheses and compare the outcomes with relevant related work Share your findings both internally and externally (e.g., at top-tier conferences on ML and NLP) Partner with Machine Learning Engineers to integrate advanced methods into Together’s Model Shaping platform Requirements Can autonomously design, implement, and validate your research ideas Skilled at writing high-quality and efficient code in Python and PyTorch Have first-author publications at leading conferences on ML or NLP (ICLR, ICML, NeurIPS, ACL, EMNLP) Are a strong communicator, ready to both discuss your research plans with other scientists and explain them to broader audience Follow the latest advances in relevant subfields of AI Are passionate about seeing your research create real-world impact through Together AI's services and willing to work hands-on with production systems to achieve it Stand-out experience: Reinforcement learning of language models Curation of pre-training or post-training datasets and benchmarks Robust evaluation of foundation models Running large-scale experiments on GPU clusters 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 advancements such as FlashAttention, RedPajama, SWARM Parallelism, and SpecExec. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is $225,000 - $300,000. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. 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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Join our client's team as a Production Supervisor and AI Trainer, where you'll have a central role in crafting AI solutions that drive manufacturing excellence. Utilize your hands-on experience as a subject matter expert to supervise and coordinate production and operating workers, contributing to the training and refinement of advanced AI models. This unique opportunity allows you to merge your industry knowledge with cutting-edge AI technology—all from the comfort of your own home. Key Responsibilities:Provide expert insights to enhance AI systems' ability to recognize and interpret supervisory tasks in production environments.Analyze, annotate, and evaluate datasets, workflows, and instructions relevant to supervisory roles overseeing operators, inspectors, assemblers, and fabricators.Review and validate AI-generated content for accuracy and applicability to real-world production supervision scenarios.Assist in the creation and refinement of documentation and AI prompts, ensuring they reflect industry best practices with clarity and precision.Collaborate remotely with cross-functional teams to improve the quality and effectiveness of AI-driven training materials.Offer actionable feedback, emphasizing the nuances of direct supervision and coordination within a production context.Promote safety, continuous improvement, and operational efficiency in all training initiatives. Required Skills and Qualifications:Proven experience as a Production Supervisor, Manufacturing Supervisor, Quality Assurance Supervisor, or a similar first-line leadership role in a manufacturing or production setting.Comprehensive understanding of direct supervision and coordination of production and operating workers, including inspectors, machine operators, assemblers, and plant/system operators.Excellent written and verbal communication skills, with an emphasis on clarity and detail.Strong analytical skills and attention to detail for evaluating AI outputs and processes.Ability to work independently in a remote setting and manage deadlines effectively.Proficiency in digital tools and a willingness to learn new technologies related to AI training.Ability to provide constructive feedback within a collaborative team environment. Preferred Qualifications:Experience in AI, machine learning, or technology-driven process improvement projects.Involvement in digital transformation initiatives within manufacturing or production environments.Familiarity with training, coaching, or educational roles aimed at operators or supervisors. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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San Francisco · Full-time · In-personAbout SolidroadBuilding something great is addictive. It's like discovering your favorite TV show mid-season, except you're helping write the next episode. It's like unboxing a new gadget, except you're the one designing it. You shape how it feels, how it works, and how people react when they use it.At Solidroad we're solving a big, messy, exciting problem: how do you scale customer support without losing what makes humans amazing? Warmth, empathy, intuition. We're using AI, generative tech, and real-time simulations to make this happen. It's ambitious, difficult, and genuinely new.About the roleWe're looking for a senior designer who sees this role as more than just a job. It should feel like signing up for a job and a hobby. Or a job and a triathlon. Or a job and an advanced art course. You'll shape our design decisions, own major parts of our product experience, mentor your teammates, and push yourself in ways you might not expect. It'll stretch your skills and fill your life in a deeply rewarding way. You'll craft impactful designs (product interfaces, brand systems, marketing assets; it's all on the table), and make critical decisions about user experience, visual direction, and product feel. There will be challenging moments, but also regular moments of genuine "wow, we built that" pride.What you'll actually do day-to-dayDesign the Complete Product Experience Stack Architect and build cohesive design systems spanning our entire product, from initial onboarding flows to complex AI interaction interfaces. You'll create designs that handle thousands of customer conversations daily, ensuring every touchpoint feels intentional, polished, and human.Shape Brand Evolution Across All TouchpointsOwn the visual evolution of our website, marketing assets, pitch decks, and product UI. You'll build scalable design systems that maintain consistency while knowing exactly when to surprise and delight users throughout their journey.Drive Exceptional User Experience Standards Set the design standard for intuitive, beautiful interfaces that make AI feel approachable and powerful. You'll ensure our experiences handle complex multimodal interactions seamlessly, mentoring others to achieve the same standard of craft and attention to detail.Our Team & CultureWe're a small, focused group working full-time in our San Francisco office. We're here five days a week because building something ambitious means collaborating closely, solving problems together, sharing ideas spontaneously, and occasionally challenging each other to padel matches, cold plunges, or karaoke evenings. We're intentional about creating a culture that's mature, supportive, and fun. You'll be joining experienced founders who've done this before, alongside a tight-knit team genuinely excited about building something impactful.We hope youHave at least 4 years of design experience, ideally at a startup (Series A to C), where you've helped ship complex, customer-facing products that real people love using.Bring strong design leadership, including experience mentoring other designers, leading design decisions, or owning significant product areas from concept to launch.Have deep expertise in modern design tools, design systems, or AI/tech product design—bonus points if you've worked on notable or challenging projects we can explore together.The good, the bad, and the honest truthThe highs here are incredibly high, direct collaboration with founders who've done this before, significant ownership, and a product you'll feel deeply proud of. The lows are that you'll need to move fast, navigate ambiguity, and sometimes tackle tough design problems solo. But the reality is that startups are a bit like a sport or an instrument: you invest in it not just because you have to, but because you genuinely want to be better tomorrow than you are today.If that sounds exciting, don't second-guess yourself. Get in touch. Send us something you've designed that you're proud of (portfolio, case studies, anything goes) and a short note about who you are and why this feels right to you. We value enthusiasm, ambition, and curiosity just as much as your design experience.

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Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Forward Deployed Engineer on the Deployment Team at Norm Ai, you will be at the intersection of software engineering and client solutions strategy and delivery. Working directly with our enterprise clients and executive team, you will architect and implement AI-driven compliance solutions which integrate seamlessly into our customer’s existing workflows and deliver substantial value and bottom-line savings.Forward Deployed Engineers are at the leading edge of Norm’s Regulatory AI platform model. They embed with our client teams to build client-specific technical solutions, establish productive long-term relationships with customer SMEs and IT professionals, and sell to executives and other decision makers. They write nimble, high-value code and they close deals.Skills & Experience – CoreBachelors or Masters in computer science or an equivalent field, or equivalent practical experience.2+ years experience writing Python or similar for production use.1+ years of experience working with enterprise customers in a technical client-facing role (Sales Engineer, Solutions Engineer, Forward Deployed Engineer, etc.)Experience writing ETL data pipelines and working with key customer SMEs to map ambiguous customer data into a coherent data modelExperience writing APIs, including working with libraries such as FastAPI.Experience working with a Postgres database or similar.Excited to work/iterate with customers.Skills & Experience – PlusesExperience with React/TypeScript and Next.js.Experience with Dagster or Apache Airflow.Experience working in a startup and handling highly ambiguous requirements and situations.You will be expected to:Lead technical implementation and integration efforts with enterprise clients, ensuring our AI compliance solutions are effectively deployed at the source of business activities inside large enterprises.Work closely with client technical teams to understand their infrastructure, security requirements, and compliance needs.Design and implement scalable ETL pipelines to integrate data in internal customer systems into Norm’s platform.Work closely with relevant client SMEs to map their business data into a structured data model that Norm’s core product can reference to implement precisely tailored customer business logic.Develop client-specific customizations to Norm’s platform to help convert and upsell client accounts where investment is deemed worthy by the client team.Lead enablement sessions with client end-users to educate users on how Norm works and evangelize the upsides our platform delivers for people across all levels of the customer’s organization.Develop and maintain technical documentation for client and partner implementations.Collaborate with our legal engineering team to translate regulatory requirements into practical technical solutions.What Success Looks Like – 30 daysBuild and deploy your first ETL pipeline, demonstrating proficiency with our core platform and customer deployment patterns.Develop a deep understanding of our regulatory AI engine and how it integrates into our customers’ compliance process.Lead technical discovery sessions with our enterprise clients.Create your first end-to-end organization ontology data model for a customer Norm implementation.What Success Looks Like – 60 daysOwn multiple client relationships as the primary technical point of contact.Architect and implement custom solutions for complex client use cases.Contribute improvements to our core deployment framework based on client feedback.Identify and document patterns for scaling deployments across similar client systems.Comp & Benefits$190,000-$250,000 a year + employee equity.The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.

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Lambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. What You’ll DoDeploy and operate observability platforms for logging, metrics, and distributed tracing.Automate the deployment and operation of these observability systems.Set up monitoring for modern AI/HPC clusters.Develop platform software to make observability adoptable and improve system reliability across Lambda engineering.Lead members of other engineering teams to design and develop solutions for their monitoring challenges.YouHave 8+ years of experience in software engineering, with 3+ years in GoHave 5+ years of experience in Site Reliability Engineering practicesPossess proven understanding of Observability tools and practicesHave experience with application deployment and monitoring using KubernetesHave experience building CI/CD pipelinesExpect quality and reliability from the solutions you buildEnjoy collaborating across team boundaries to help our engineering teams meet their observability needs.Nice to HaveExperience monitoring AI systems or HPC clustersExperience with Prometheus and writing queries in PromQLExperience with messaging systems like NATSUnderstanding of the OpenTelemetry ecosystem and experience with both OTel instrumentation and the OTel collectorExperience with network monitoring, Ethernet and InfinibandUnderstanding of dashboard design principlesStrong understanding of Linux fundamentals and system administration.Experience with infrastructure automation tooling such as Ansible and TerraformSalary Range InformationBased on market data and other factors, the annual salary range for this position is $267K-$401K. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.We're seeking an Electrical Engineering Intern to join our team in Houston, TX and contribute to the development of cutting-edge humanoid robotics systems. You'll work directly with our mechanical and electrical engineering teams on real projects that impact our robot development.What You’ll Work On:PCBA Design & Testing: Support development and validation of custom electronics for humanoid robot power, communication, and actuation systemsCabling Systems: Assist with design and prototyping of robotic systems with a focus on designing cabling and understanding grounding and bondingEmbedded System Development: Be involved with the writing, testing, and validating embedded software for the custom electronics that we have producedEngineering Documentation: Create technical documentation, drawings, test reports, and design specificationsWhat you’ll learn:Hands-on experience with humanoid robotics development from concept to productReal-world application of engineering fundamentals in cutting-edge roboticsQualifications:Currently pursuing, or have obtained, a Bachelor's or Master's degree in Electrical Engineering, Robotics, Mechatronics, or related fieldA passion for robotics, automation, or electromechanical systemsExperience with electrical CAD software (ideally KiCAD), prototyping, and hands-on building (coursework, personal projects, student competitions, or hobby work)Experience with embedded software development (C, C++, Python, Git tools) and circuit simulation software (LTSpice)Strong work ethic and willingness to get hands-on with tools, equipment, and testingCollaborative mindset with excellent communication and teamwork abilitiesSelf-motivated with ability to ask good questions and take initiativeProgram DetailsFall Program: September 1 – November 30Application Deadline: July 15Final Selections by: July 31Location: Houston, TX (onsite)Compensation: Competitive hourly rateWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.