AI Creative & Design Jobs

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InterfaceAbout UsMission We believe generative AI's true potential goes beyond improving interactions between humans and machines; it's set to revolutionize human-to-human communication. We're introducing a smarter way to communicate that will help us tap into our most original creations, together with our people.Team Interface, Inc. is founded by the same minds behind Jour, which was acquired by Alan in 2021, and new talents equally committed to our mission. We’re a small team of 30 today.How We WorkAt Interface, we thrive in building beautiful products, used and loved by millions. We design with the user at the forefront - going beyond mere functionality to create magical experiences. We're obsessed with pixel-perfect delivery, high daily usage, and world-class retention. These principles steer our behaviors, decision-making, and set our leadership expectations. In our team, transparent communication, deep ownership, and high velocity are lived values. Joining Heart Hands means becoming part of a track-proven team focused on cutting-edge products, backed by top-tier investors. We offer an ecosystem where you can grow both your individual contribution and strategic thinking.The PositionAs a Senior Backend Engineer, you will play a critical role having complete ownership in the design, development, and implementation of a robust and scalable backend & infrastructure used by our mobile clients, but also in supporting the development of our second brain. You will make a significant impact on shaping the services and features that will bring our product to life and will be used by millions.What You'll DoWrite simple, high quality code that can easily be understood and leveraged by others Lead full life cycle design & implementation of product requirements, which includes task break-down, delivering, testing, and maintenance Collaborate closely with the product and the rest of the engineering team to transform product and feature specifications into a reality (we ship on a daily basis).Example of Desirable Skills, Knowledge and ExperienceYou have strong knowledge, solid understanding, and interest in the following areas: Minimum 5 years professional experience in a backend language (preferably Golang). Interest in Rust is a plus. Programming, architecture, database design, and operations skills Scaling a distributed system & the corresponding constraints and trade-offs of operating at scale Familiarity designing event-driven architected backend (message queues, event streaming)Asynchronous processing, concurrency, parallelism Solid grasp of how gRPC, HTTP, TCP, UDP work ○ Strong believer of CI/CD (Docker, GitHub Actions, AWS Fargate) Observability tools, monitoring, alerting (Datadog, Grafana, Prometheus) You’re a self-starter who can quickly roll out quality code and build out simple systems You have experience working in a fast paced startup environment You are are excited by the prospect of working on an AI product You’re humble and biased to action, with a “no task is too small” mindset You are able to adapt and thrive with an early stage team while navigating the unknown You think like an owner and can prioritize what’s best for the company You like to keep things simple and not get too caught up in the weeds You like to be challenged and see this role as a growth opportunity Being nice matters to you, and you’re a self-proclaimed championThe Selection ProcessSilver.dev Recruiter ScreenSilver.dev Technical ScreenCultural Screening with People LeadTechnical Deep Dive Screening with CTOTake-home ChallengeTake-home Challenge Review Call with Engineering TeamBehavioral Screening with CEO

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role You’ll be part of a team who’s building the backbone of our airborne software validation environment. As a Simulation Engineer, you’ll write tools that let engineers to rigorously test AI and autonomy before flight. Your work ensures our AI behaves predictably and safely – even in edge cases – accelerating how we bring real aircraft to life. The day-to-day Design and develop modules in simulation/validation frameworks Write Rust code for high-performance simulation Build tools for automated test coverage and fault injection Work closely with different teams to capture requirements Debug and profile simulation performance Maintain documentation and testing infrastructure You should apply if you Write modern, maintainable code Have experience in simulation, testing or robotics frameworks Are comfortable with complex systems and concurrency Care about reliability, performance and safety Like working on the interface between software and hardware Are motivated by fast feedback loops and real impact Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have Aerospace or automotive background Hardware-in-the-loop or real-time simulation experience Experience building test rigs Knowledge of flight dynamics or control systems Familiarity with CI/CD for simulation systems Exposure to AI/ML systems testing Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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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: The Solution Engineer role sits within the GTM organisation within the EMEA region; making you a trusted technical advisor of the local sales team, our partners, and our customers. You will work on many exciting projects with some of the most future-forward organisations; helping to guide the beginning of their Generative AI journeys. At Glean, our Solution Engineers work with our customers to help them connect Glean to their most important decision-making platforms. These platforms include Microsoft 365, Google Workspace, Jira, Confluence, Slack, GitHub, Zendesk, and everything in between! As an SE, you will work closely with our local Account Executives (AEs) and will be responsible for the technical success and delivery of our sales opportunities.  You will: Performing interactive demonstrations of the Glean platform to prospective customers. Educating the technical teams of our prospective customers on the architecture of the Glean platform. Specifically, articulating the “how” of how our solution works in the context of the customer landscape. Scoping and executing sponsored pilot and Proof of Value (PoV) exercises to ensure the technical requirements and business objectives that the Glean solution provides are validated. Educating and training our customers and partners on our product to ensure that they are set up for success. Presenting at company sponsored events such as Google Cloud Next and AWS re:invent. Liaising with Glean product managers and engineers to investigate issues, raise feature requests, and understand our future roadmap. About You: You will have a bachelor's degree in Engineering, Computer Science, Information Technology, or a related field (or equivalent work experience).  At least 5+ years experience in enterprise software pre-sales and have used value-based discovery frameworks. You possess excellent analytical and problem-solving skills with the ability to handle complex technical challenges. You are able to explain complex technical concepts in layman’s terms to help educate and train our customers, prospects, and partners. You are comfortable presenting, both virtually and in-person, Familiarity with cloud infrastructure (IaaS) platforms such as GCP, AWS, and Azure. Familiarity with identity services and Single Sign-On (SSO) providers such as Azure/Entra ID, Okta, and protocols such as SAML, SCIM, and OIDC. Familiarity with APIs including sending and receiving data from API endpoints, and how to troubleshoot issues Familiarity with security concepts and tools, e.g. Firewalls, VPNs, SSL/TLS, DLP, WAFs, and proxies. Location: London (The role is remote) We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-REMOTE

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BrighthireTier 1 Support Engineer Role Overview As a Tier 1 Support Engineer, you are the first line of support engineer when customers encounter issues. Your rapid investigations and clear communication ensure users stay productive and confident in BrightHire. By resolving problems, or routing them to the right people, you keep our service reliable and our customers delighted. Key Responsibilities Receive escalated support tickets and investigate using documentation, admin tooling, codebase, and SQL. Diagnose issues, decide whether to answer, fix, or escalate, and follow through to resolution. Prioritize concurrent requests and provide timely status updates to customers and internal teams. Update internal help articles and knowledge bases to reflect common solutions. Add or refine simple features in the admin portal with Python, SQL, and JavaScript. Expand our internal AI chatbot by tuning prompts, enhancing capabilities, keeping documentation up to date, and ingesting new knowledge sources. Required Qualifications Junior-level software engineering skills in Python, JavaScript/TypeScript, and SQL. Strong debugging mindset with comfort reading logs, stack traces, and database queries. Proven ability to prioritize tasks and manage time independently. Excellent written and verbal English for professional, empathetic communication. Based in South America with reliable internet and working hours between US Eastern and US Pacific Time. Nice-to-Have Skills Experience in B2B SaaS or recruiting/HR technology environments. Familiarity with ticketing and observability tools such as Linear, Zendesk, Jira, or Datadog. Exposure to AI/LLM tools or maintaining conversational chatbots.

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📐 About this roleGreat writing, for everyone. It’s our vision for WRITER, and our customers’ vision for their teams. We’re looking for an enterprise support engineer, whose top priority is helping our developer personas and technical users succeed with WRITER. We need someone who’s comfortable working in a complex and ambiguous environment, capable of driving impactful value across our customer’s business. You’ll act as a leading voice for our enterprise support function, both internally to the business, and externally to the customer. You’ll handle intricate customer issues directly, and also work internally to answer internal requests and increase our ability to fix issues quickly and effectively. You'll work with Customer Success & Education, Product, Engineering, and Sales to create great experiences and help customers get the most out of the platform. You'll report to the manager of support engineering.🦸 Your responsibilities• Provide excellent technical support, acting as product subject matter expert• Triage and resolve customer production issues through Salesforce, email, Slack, and Zoom• Support technical end users with debugging and refining custom-built python and no-code agents• Work closely with product and engineering to escalate and resolve deeper technical issues.Act as Tier 2 advanced support to monitor and tackle complex production issues through our monitoring alerts• Gather and share platform feedback and feature requests with product‌ and design teams⭐ Is this you?We’re looking for a support engineer who's extremely comfortable working in a fast-paced, constantly evolving environment. Someone who exudes perseverance and drive, operates with an owner’s mindset, and prioritizes both attention to detail and creative problem solving. A sense of urgency and a willingness to get the job done are essential traits at WRITER.• Minimum of 5+ years providing technical support for an enterprise B2B SaaS organization• Comfortable navigating cloud tech (AWS/GCP), Python, SDKs, SSO/SCIM, Jira, Grafana, Datadog• Strong skills in RESTful API debugging, integration, and usage• Enjoy working on-screen with customers to overcome product issues• Excellent writing and communication skills are essential ✍️• Experience working with GenAI/LLMs is a huge bonus 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. The Role We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments. Location: Bangalore Experience : 3+ Responsibilities Collect, process, and analyze large datasets from multiple sources Build and deploy machine learning models to solve business problems Design and implement A/B tests and statistical analyses Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements Communicate complex data insights in a clear and actionable manner to stakeholders Develop dashboards and visualizations to monitor key metrics Stay current with the latest trends and technologies in data science and AI Required Skills & Qualifications Bachelor’s/Master’s degree in Computer Science, Mathematics, Statistics, or related field 2+ years of proven experience as a Data Scientist or Data Analyst Strong knowledge of Python/R and SQL Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)  Experience with big data tools (e.g., Spark, Hadoop) is a plus Familiarity with data visualization tools Strong analytical, problem-solving, and communication skills Preferred Skills & Qualifications Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc) Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows.  Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Maincode is building sovereign AI models in Australia. We are training foundation models from scratch, designing new reasoning architectures, and deploying them on state-of-the-art GPU clusters. This is not fine-tuning someone else’s work. This is building new systems from first principles.As an AI Researcher, you’ll help design the next generation of foundation models. You'll explore novel model architectures, training objectives, and data representations that push the limits of what models can do. You’ll ask the hard questions: where do today’s systems fall short in reasoning, learning efficiency, or alignment, and how could we do better? Then, you'll prototype solutions to find out.This is a deep applied research role. You'll write code to test your ideas, run experiments, and refine architectures until they show real-world potential. When your models are ready to scale, you’ll work side by side with our AI Engineers to take them from prototypes to large-scale training runs and deployed systems.If you love reading the latest papers, imagining what could be better, and proving it with working models, you'll feel right at home here.What you’ll doDesign and prototype new foundation model architectures, reasoning systems, and training algorithmsExplore better ways to represent data, design training objectives, and build models that reason, learn, and align more effectivelyBuild experimental models and pipelines to test your ideas on real-world dataStay deeply engaged with state-of-the-art research in venues like NeurIPS, ICLR, and ICML, and think critically about where the field is heading and how we can push it furtherWork closely with AI Engineers to transition prototypes into large-scale training and inference systemsHelp shape the intellectual direction of our sovereign AI efforts in Australia, advancing the science of how models learn and reasonContribute to a collaborative, open-minded team culture that values rigor, creativity, and building things that workWho you areAn experienced researcher with deep academic or applied horsepower, whether from machine learning, physics, neuroscience, applied mathematics, or another rigorous fieldHave built, trained, or experimented with deep learning models and are deeply curious about how to make them betterA regular reader and thinker in AI and machine learning research, with the ability to spot emerging trends, gaps in today’s models, and new directions to exploreSkilled in Python and machine learning frameworks like PyTorch, with a strong focus on hands-on experimentationComfortable turning abstract research questions into concrete model designs, experiments, and insightsExcited to work closely with AI Engineers to translate research into robust, scalable systemsMotivated to help build sovereign AI capability here in AustraliaWhy MaincodeWe are a small team building some of the most advanced AI systems in Australia. We are creating new foundation models from scratch, not just using what’s already out there.We operate our own GPU clusters, run large-scale training, and work closely across research and engineering to push the frontier of what’s possible.You'll be surrounded by people who:Care about model internals, not just outputsBuild things that work, at scaleTake pride in learning, experimenting, and shippingWant to help Australia build independent, world-class AI systems

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About 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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Warp: We're Building the Platform for Agentic Development Warp began with the vision of reimagining one of the fundamental dev tools—the terminal—to make it more usable and powerful for all developers. As AI has advanced, Warp has evolved beyond its terminal roots into the platform for Agentic Development: a workbench for dispatching agents to code, deploy, and debug production software. With over half a million active developers and revenue that has grown 16x this year so far, we are in a unique position to impact the future of development. We believe that soon developers will be “tech leads” for groups of agents; rather than opening a code editor to write code or a terminal to write commands, they will open Warp and prompt their computer to build features, fix bugs, and diagnose production issues. With its starting point as a reimagined command line, Warp is well-positioned to support agent-first workflows: It sits at the lowest level in the dev stack, has access to all of a developer’s context, and is set up for multitasking and long-running processes. In addition, Warp has state-of-the-art code editing features and built-in team knowledge sharing. It’s the right interface for the agentic future. Our mission has remained the same even as AI has advanced: to empower developers to ship better software more quickly, freeing them to focus on the creative and rewarding aspects of their work. For more information on our team and culture, we highly recommend reading our How We Work.Why Growth Engineering? Warp is rethinking how software engineers write code — moving from “coding by hand” to “coding by prompt.” To succeed, we need to help developers discover, adopt, and unlock the full power of AI-assisted development. We’re hiring a contract Growth Engineer to accelerate Warp’s highest-priority growth initiatives. You’ll work closely with the Growth and Product teams to design, build, and ship experiments that improve user acquisition, activation, and monetization. This is a fast-paced, high-impact role focused on building and iterating on onboarding flows, in-product education, and conversion-driving features. You’ll play a key role in shaping how developers first experience Warp and how they integrate it into their workflow. This is a 3-month contract position with the opportunity to transition to a full-time role, contingent upon performance and business needs. As a Growth Engineer (Contract), you will… Build and ship growth experiments across onboarding, pricing, referrals, and more Improve the performance of our self-serve funnel via frontend and backend changes Collaborate on A/B tests, analytics instrumentation, and campaign landing pages Debug issues across the stack and move fast from idea to live test Contribute to the growth strategy and roadmap You may be a good fit if... 5-7 years of software engineering experience with the ability to contribute to complex production environments. Comfortable working across the stack (we use Rust for our client app and go + react for our server, but prior language knowledge is not required - we value adaptable engineers.) Experience building for growth: funnels, experiments, or growth-focused features Data-driven and scrappy: you care about results and think in a hypothesis-driven way  Available to start quickly and commit full-time for 3 months Individuals seeking employment at Warp are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Compensation Transparency Competitive hourly compensation of $75-$95/hour based on experience, with the opportunity to transition to a full-time role including base salary, equity, and comprehensive benefits after the initial 3-month contract period.About Warp We are a company run by product-first builders, building a core product for all developers. We are committed to understanding our users deeply. We will ultimately build the best product and business if that team includes developers and designers from a wide range of backgrounds. The early team comes from Google, Dropbox, Gem, LinkedIn, and Facebook. We are looking for passionate individuals to join us and help bring Warp to the world. We value honesty, humility, and pragmatism, and our core product principle is focusing on the user. If you’re interested in learning more about our company values and the culture of our engineering team, please take a look at our internal 'How We Work' guide. We’re very fortunate to be backed by a great group of venture capital firms. In August 2023, we announced a $50M Series B funding round ($73M total raised), led by Sequoia Capital. Our other investors include Google Ventures, Neo, and Box Group. We are also backed by a network of passionate angels, including Dylan Field (Co-Founder and CEO, Figma), Elad Gil (early investor in Airbnb, Pinterest, Stripe, and Square), Jeff Weiner (Executive Chairman and Ex-CEO, LinkedIn), Marc Benioff (Founder and CEO, Salesforce), and Sam Altman (Co-Founder & CEO, OpenAI). The Product Here's our latest demo showing some of our current features…

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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 xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role Join a pioneering team at xAI to ensure our AI products are safe, reliable, and exceptional for users worldwide. We’re shaping the future of AI innovation, delivering trustworthy and delightful experiences at scale. As a Backend Engineer on the Product Safety team, you’ll build robust, high-performance systems to safeguard our AI, tackling complex challenges to impact millions. This is your chance to redefine AI safety. What You’ll Do Build distributed systems to enforce safety and integrity at scale. Create frameworks for monitoring and moderation to stay ahead of risks. Build safety features in collaboration with other AI experts. Drive projects from concept to production with speed and precision. Who You Are A proactive problem-solver who turns ideas into reality. Experienced in designing high-performance, high-load systems for production. Passionate about AI safety and building trusted, impactful products. (Strong plus) Background in product safety or moderation platforms. (Strong plus) Familiar with DevOps and CI/CD pipelines. Tech Stack Python (required) Rust (strongly preferred) Scala (familiarity preferred) RESTful APIs, gRPC Microservices, Docker, Kubernetes SQL/NoSQL databases Major cloud service providers (CSPs) or on-prem deployments Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute phone screening with a member of the team. If you clear that interview, you will enter the main process, which consists of four steps: Coding in Python Round 1. Coding in Python Round 2. Coding in Python & System Design. Meet & Greet with the wider team. Our goal is to finish the main process within one week. There will be at least one in-person interview. Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About the TeamMarketing tells OpenAI’s story—what we’re doing and why it matters—to the world through a variety of surfaces, most notably openai.com. Our small but nimble and growing team supports the design and development needs across the entire company, and sits within a larger team of professionals in marketing, design and product.Communicating the advances and benefits of AGI and our products is some of the most important work at OpenAI, and our goal is to do it in a beautiful, accessible, scalable, systematic way, with transparency and authenticity.About the RoleWe’re looking for experienced frontend engineers on the marketing eng team who can ship new features to millions of openai.com visitors around the world. You’ll work closely with other engineers on the team, our design partners, as well as cross-functional stakeholders across the company. In this role, you will:Partner closely with design, marketing, and other cross-functional stakeholders to communicate OpenAI’s mission to the worldDesign and build efficient and reusable front-end systems that drive a complex web application with millions of visitors a dayPlan and deploy front end infrastructure necessary to build, test, and deploy our site You might thrive in this role if you: Have experience building production web apps at scale using TypeScript, NextJS / React and other web technologies. Bonus points for solid web fundamentals like native JavaScript and CSSAre comfortable building complex applications and systems from the ground up, with limited development infrastructure available to youHave a voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with othersAre comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessaryAbout 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 UsHippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, and Oschner, is building the most transformative company in healthcare in history.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions, including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.OverviewWe are seeking an experienced Pharmaceutical Safety Medical Doctor with a proven background in health technology to join our cross-functional team as a Contract Medical Safety Expert. This role is central to developing and validating an AI-powered adverse event (AE) detection engine that can accurately identify and categorize FDA-reportable events from unstructured and structured medical data.This contractor will play a key role in helping Hippocratic AI create a robust system that meets regulatory standards and clinical expectations while working at the intersection of pharmacovigilance, clinical safety, and cutting-edge artificial intelligence.Key ResponsibilitiesSubject Matter Expertise: Provide expert clinical and regulatory guidance on pharmacovigilance, especially around US FDA requirements for AE reporting and MedWatch compliance.AI Model Development Collaboration:Partner with the AI/ML and Clinical Informatics teams to design annotation schemas and decision logic related to AE identification.Define clinically validated criteria to distinguish reportable vs. non-reportable events.Contribute to the design and refinement of classification taxonomies for adverse events, seriousness, and expectedness.Quality & Safety Oversight:Review model outputs and participate in error analysis of AI-generated AE classifications.Help define “safe fail” protocols for uncertain or ambiguous cases.Data Strategy Support:Inform data collection strategies and guide labeling/annotation efforts for adverse event corpora.Collaborate on test sets that simulate real-world AE reporting cases across various therapeutic areas.Regulatory Alignment:Ensure compliance with FDA pharmacovigilance standards (21 CFR Part 314, ICH E2A/E2D, etc.).Liaise with internal quality and regulatory stakeholders to audit model readiness for future deployment.Stakeholder Communication:Summarize clinical safety perspectives for cross-functional leadership and potential external partners.Contribute to documentation supporting FDA or regulatory body interactions, if required.Required QualificationsMD (Doctor of Medicine) with board certification strongly preferred.5+ years of experience in pharmacovigilance or drug safety within a pharma, biotech, or CRO environment.At least 2 years of experience collaborating with or working at a health tech or AI/ML-focused company, ideally involving clinical data or regulatory technology products.Strong familiarity with FDA AE reporting requirements, MedDRA, and ICH E2B guidelines.Clinical expertise in therapeutic areas such as primary care, internal medicine, or neurology is a plus.Experience working with or reviewing outputs from NLP/LLM or AI-based systems is highly desirable.Exceptional attention to detail, with a strong sense of clinical judgment and ethical responsibility.Nice to HaveExperience with AI model validation or human-in-the-loop review systems.Familiarity with tools like MedDRA, WHODrug, Argus Safety, or other AE signal detection platforms.Prior involvement in developing medical ontologies or rule-based decision frameworks.CompensationCompetitive hourly or monthly consulting rate (commensurate with experience).Flexible schedule with expected 10–20 hours/week depending on project phase.***Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process. If anything appears suspicious, stop engaging immediately and report the incident.

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Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year. Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like L’Oréal, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. It’s the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA. We’re building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth. Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. We’ve also been named one of Fortune’s Great Places to Work six years running, featured on Glassdoor’s Best Places to Work, and recognized by Forbes’ 50 Most Promising AI Companies. We’re backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. We’d love for you to join us! This is a hybrid role. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events. Engineering @ IroncladAs a Staff Software Engineer at Ironclad, you'll work cross-functionally to identify business problems and architect, build, and verify solutions. You'll build a platform that lets lawyers scale themselves and their businesses 100x more effectively. At Ironclad, we’ve built a product that brings a two thousand year old profession into the digital age, and you’ll play a pivotal role in driving the foundation forward.We seek experienced engineers with strong coding fundamentals and a track record of shipping high quality products. We work in a highly collaborative environment, and strive to foster a positive, inclusive culture and offer remote work flexibility. If you’d like to join us on our mission to build the product that legal teams love, let’s talk!What you'll doCreate and maintain foundational shared services used by all feature teams that reduce redundancy and support accelerated development, stability and scale across Ironclad.Collaborate cross-functionally with product managers, designers, and engineers to spec, design, and build impactful features and systems Lead the design and development of backend services within a large-scale monorepo, ensuring modular, maintainable, and well-tested code Architect and implement scalable, reliable systems that evolve with Ironclad's product and traffic growth Influence architecture decisions across teams and own long-term technical strategy—not just short-term deliverables Establish tooling and development patterns that improve productivity, observability, and system health across the monorepo Apply a data-driven approach to development—using metrics and experimentation to inform decisions, validate impact, and prioritize work Pair this with strong practices in instrumentation, observability, and experimentation (e.g. feature flags, telemetry) to enable measurable outcomes Demonstrate familiarity with emerging AI-powered tools and technologies, leveraging them to enhance developer workflows and intelligent system behavior Model high engineering standards through clear design docs, clean code, thorough testing, and operational excellence Drive execution by moving fast, focusing on impact, and being open in collaboration and feedback Champion Ironclad's values—including empathy and integrity—while helping grow the team by mentoring engineers and participating in hiring Build systems that contribute to Ironclad's mission of building social value through trustworthy and efficient contracting Work on a modern stack built upon: TypeScript, ReactJS, Node.js, Java, AlloyDB, Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required)Benefits:Health, dental, and vision insurance401kWellness reimbursementTake what you need vacation policyGenerous parental leave for both primary and secondary caregiversBase Salary Range: $210,000 - $235,000The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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About UsHippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare. Our mission is to dramatically improve healthcare accessibility and outcomes by bringing deep healthcare expertise to every person. No other technology has the potential for this level of global impact on health.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Palo Alto, CA unless explicitly noted otherwise in the job description.The Role:We are seeking a Machine Learning Infrastructure Engineer to design, build, and manage the next-generation training and inference platform for LLMs. You will be at the heart of building scalable, efficient infrastructure that supports our researchers and engineers in training, serving, and experimenting with large models at scale. Your work will directly impact our ability to innovate with new architectures and training techniques in production environments.Key Responsibilities:LLM Training Infrastructure: Design and operate large-scale training clusters using Kubernetes and/or Slurm for LLM experimentation, fine-tuning, and RLHF workflows. Cluster & GPU Management: Own scheduling, autoscaling, resource allocation, and monitoring across high-performance GPU clusters (NVIDIA, AMD). Distributed Systems: Build and optimize distributed data pipelines using frameworks like Ray, enabling parallel training and inference jobs. Inference Optimization: Benchmark and optimize model serving performance with technologies like vLLM, and support autoscaling of inference workloads in production environments. Platform Reliability: Collaborate with infra and platform engineers to ensure system robustness, observability, and maintainability of ML workloads. Research Enablement: Partner closely with ML researchers to enable rapid experimentation through flexible and efficient infrastructure tooling. Preferred Qualifications:5+ years of experience in infrastructure, MLOps, or systems engineering, ideally with time spent in architect or staff-level roles. Proven experience managing large-scale Kubernetes or Slurm clusters for training or serving ML workloads. Strong proficiency in Python; familiarity with Go or Rust is a plus. Hands-on experience with Ray, vLLM, Hugging Face Transformers, and/or custom LLM training stacks. Deep understanding of GPU scheduling, container orchestration, and workload optimization across heterogeneous hardware. Experience with inference workloads, benchmarking, latency optimization, and cost-performance tradeoffs. Familiarity with Reinforcement Learning, particularly RLHF frameworks, is a strong plus. Contributions to internal platforms that enabled others to train or fine-tune LLMs efficiently.Bonus Skills:Exposure to multiple hardware platforms (e.g., H100s, A100s, MI300X). Experience with managing storage, IOPS performance, and object store integration for ML data. Familiarity with building observability into ML pipelines (e.g., Prometheus, Grafana, Datadog). Ability to present infra systems/platforms to technical stakeholders.

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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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About HumanlyHumanly is revolutionizing talent acquisition with our AI-first recruiting platform, built to automate and orchestrate every step of the candidate journey—from first hello to final interview—across every channel.We help mid-market and enterprise teams hire in days, not months, by engaging 100% of interested candidates and surfacing the best-fit talent faster. Our platform delivers speed, structure, and consistency at scale—so hiring teams can focus on decisions, not logistics.We are a fast-growing Series A company and behind our tech is a team of bold, curious, and deeply human people. We move fast and build with purpose - for our customers, candidates, and each other. Our culture is built on collaboration, authenticity, and a shared belief that hiring can and should be better.Our headquarters is in Bellevue, WA, but our team spans the globe. The RoleOur founding designer has laid a strong foundation—design system, product patterns, and a human-centered culture. We’re looking for a single, high-impact product designer to inherit that legacy, drive day-to-day design needs, and level up our user experience as we scale from Series A growth to our next milestones. This is a hybrid position (Tuesday - Thursday) based out of our Bellevue office, reporting directly to the VP of Product.What You'll DoOwn the end-to-end product design cycle – from discovery and research through polished UI, prototypes, and dev hand-off.Maintain & evolve the design system – keep component libraries healthy, introduce new patterns, and document guidelines so engineering can move fast with confidence.Partner deeply with PM & Engineering – join weekly sprint planning, shape problem statements, and ship features that balance user value with technical constraints.Champion understanding users – plan and conduct interviews, usability testing, and rapid feedback loops; turn insights into actionable design improvements.Advance visual + interaction quality – raise the bar on typography, motion, accessibility, and micro-interactions across web and mobile experiences.Mentor by influence – upskill teammates in design thinking; run crits, workshops, and design jams even though you’re the only designer on the org chart.Measure impact – define success metrics with Product Analytics and how other teams build products and iterate relentlessly toward them.Prepare for scale – identify when and where we’ll need additional design resources; play an active role in shaping future hires and processes.What You'll Bring4+ yrs designing digital products end-to-end, ideally in early-stage or high-growth startups.Portfolio showing shipped work that solves complex problems with elegant solutions—include situation, action, and impact.Fluency and discipline in Figma (components, variables, auto-layout, dev-mode) plus prototyping tools of your choice (e.g., Framer, v0, Cursor, Lovable).Comfort with lean research: moderated tests, unmoderated studies, and quick surveys.Solid understanding of React/HTML/CSS fundamentals; ability to speak dev’s language and spot feasibility issues.Systems thinker who can understand the architecture of our current products and how it does or should impact the industryExcellent communication and over-communication: you can defend design decisions with data, empathy, and concise storytelling.Self-direction & prioritization: you thrive as a team of one, but never design in a silo.Bonus: experience standing up or evolving a mature design system; exposure to B2B SaaS or data-heavy products. What We OfferInfluence the future and help lead the way for ethical AI in recruiting.Collaborate with a diverse and passionate team dedicated to transforming the hiring landscapeCompetitive compensation + equityCompany sponsored medical, dental, and vision plans for employeesLearning & development stipend Wellness stipend 401(k) program 12 weeks fully paid parental leaveFlexible PTORecognition programs and prizesSummer Friday programCompany retreats and team building events!

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Your impactHandshake is looking for a Data Scientist, Product Analytics to help shape how we measure and grow the impact of our products across students, employers, and university partners. In this role, you’ll partner with product, engineering, and analytics stakeholders to deliver actionable insights and experimentation frameworks that guide key product and growth decisions. You’ll be embedded in our Data team and report to the Senior Manager of Data & Analytics. Your roleAs a Data Scientist at Handshake, you will:Collaborate with product managers and engineers to identify key metrics and drive analytics workstreamsAnalyze user behavior to uncover trends, patterns, and opportunities for product improvementContribute to experiment design, implementation, and analysis to guide feature developmentBuild and maintain dashboards and reports to support ongoing tracking and decision-makingHelp define and refine data models in partnership with Analytics EngineeringTranslate complex data findings into clear, actionable insights for cross-functional stakeholdersYour experience3+ years of professional data science experienceExperience using data to support product development, including working with cross-functional teamsProficiency in SQL and comfort working in Jupyter-style notebooks using Python or RAwareness with A/B testing and experimentation best practicesAbility to conduct analysis across user cohorts, funnels, and time-series datasetsRobust written and verbal communication skills, especially in summarizing insights for non-technical audiencesExperience with BI tools such as Looker, Hex, or ModeBonus areas of expertiseExposure to product analytics in a multi-sided marketplaceKnowledge with dbt or similar data modeling frameworksPrior experience contributing to data-informed product strategiesAbout usHandshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been.When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week (unless noted in the specific job posting). Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 3x a week across all offices.🤝 Referral bonus to reward you when you bring great talent to Handshake.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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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?In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Canadian Public Sector business and have a great deal of autonomy when it comes to technical pre-sales and post-sales.Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.A typical day at Cohere might include:Leading the technical talk track on customer calls.Deep dives on customer problems and Cohere technology.Designing novel enterprise solutions with bleeding-edge NLP technology.Facilitating customer evaluations and PoC’s.Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere.Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.Working closely with our partners to develop a strategy for enabling and accelerating their customers.This career opportunity is a good match for you if you have:Security Clearance is highly preferred.5+ years of Canadian public sector customer-facing technical pre/post sales Solutions Architect (or similar) experience.2+ years architecting or deploying NLP/AI/LLM Solutions.A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies.Comfortable working with Python and Jupyter Notebooks.Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences.High tolerance for ambiguity.You can identify and implement high-impact processes in unstructured environments.Preferred: Experience managing Kubernetes clustersPreferred: Experience with networking (firewalls, DNS, cert management, etc)Preferred: Familiarity with authentication protocols/frameworks (SAML, OAuth, 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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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.The RoleAs a Strategy & Growth Executive , you will partner directly with CEOs and C-suite executives to drive AI-led transformation for the world's most influential companies. You will identify high-impact AI opportunities, shape billion-dollar strategic initiatives, and lead executive-level engagements that drive measurable competitive advantage. This is a high-impact, high-visibility role that demands exceptional strategic thinking, robust relationship-building skills, and expert level deal execution. You will be at the forefront of shaping the future of AI adoption at scale—from identifying transformation opportunities to closing large-scale strategic partnerships.Key ResponsibilitiesExecutive Advisory: Provide guidance to CXOs on AI-driven competitive strategies and enterprise transformation.Opportunity Creation: Proactively identify opportunities, shape, and drive AI-led business transformations that unlock revenue streams and generate substantial enterprise value.CXO Engagement: Establish and maintain deep, trusted relationships with executive leaders.Strategic Deal-Making: Lead negotiations, and close $XXmm+ partnerships that create $XXXmm+ impact.Market Intelligence: Monitor AI adoption patterns, emerging enterprise trends, and industry shifts to inform strategic decisions. Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, company ethos, and mission.Qualifications & ExperienceProven success in leading and delivering a $XXmm+ strategic initiative.Experience advising Fortune Global 1000 executives or political leaders, showcasing your ability to navigate high-stakes decision-makingA strong desire to work closely with technologists and actively seek and integrate constructive feedback.Deep understanding of AI technology or of enterprise transformation – ideally both.Exceptional storytelling and communication skills to effectively influence diverse audiences.Demonstrated resilience, adaptability and a passion for innovation in dynamic environments.  Why Join Us?Shape the Future: Lead AI transformations that will re-define the next century’s most influential companies.Pick and Build the Winners: Work with top enterprises to identify, transform, and scale the winners of the AI Economy.Operate at the Highest Level: Engage directly with CEOs and C-suite executives to drive billion-dollar impact.High-Growth, High-Upside: Be a key player in a hyper-growth startup backed by the best in AI and enterprise, with a tremendous upside.Elite Team, Mission-Driven Culture: Work with top AI talent that emphasizes high-impact, deep-ownership and a shared mission for excellence..