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Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW The Staff Web Developer joins Harvey's Web team as the senior technical leader for the architecture, data foundations, and systems integration behind harvey.ai http://harvey.ai and every web-facing surface. The team's mission is to make Harvey's web presence evolve at the velocity of the product itself — reliable, observable, and fast enough that Marketing and GTM can ship without waiting on engineering. This role owns the technical strategy for that platform: the Next.js and Sanity architecture, the integration layer connecting the website to Harvey's marketing, analytics, and GTM systems, and the automation and testing practices the team currently lacks. You will be the most senior engineer on a small, front-end-leaning team, setting standards and mentoring as much as building. You partner directly with Harvey's product engineering, security, and infrastructure organizations to make sure the web platform meets the same bar as the rest of the company. It is a rare opportunity to build foundational systems from scratch at one of the fastest-growing AI companies, with unusually direct line of sight from your work to the company's growth.   WHAT YOU'LL DO - Own the architecture of Harvey's web platform end to end — the Next.js/Vercel application, the Sanity content layer, and the services and APIs behind them — with a focus on reliability, performance, and scalability. - Design and build the data foundations and integration patterns that connect the website to Harvey's marketing, analytics, CRM, and GTM systems, supporting both real-time and batch workloads. - Establish automation, CI/CD, preview/deploy tooling, and robust automated testing where little exists today, reducing operational toil and increasing team velocity. - Set observability standards — structured logging, tracing, Core Web Vitals and performance budgets, alerting — so the team can catch and resolve issues before Marketing does. - Lead how the team applies AI and ML to web workflows, from content operations to personalization to internal tooling, and act as the bridge between product engineering and web engineering. - Partner with Security and Infrastructure to harden the platform without slowing developer experience. - Provide technical leadership and mentorship to a small, front-end-focused team through code review, design review, and architectural guidance.   WHAT YOU HAVE - 8+ years of Web Development experience with deep back-end and systems expertise, and a track record of owning technical architecture at a staff level of scope and ambiguity. - Strong command of the modern web stack — React/Next.js, TypeScript, and server-side rendering — paired with genuine back-end depth (Node, Python, or comparable) rather than front-end specialization alone. - Experience architecting and operating headless CMS and content platforms (Sanity, Contentful, or similar) at scale, including schema design and publishing workflows. - Proven experience building and operating reliable production systems: CI/CD, infrastructure-as-code, observability tooling, and performance optimization against real user metrics. - Fluency with data infrastructure fundamentals — SQL/NoSQL databases, caching, queuing, API and webhook integration patterns — in service of marketing and GTM systems. - Experience integrating AI/ML capabilities into production web experiences or content workflows. - Demonstrated ability to mentor less experienced engineers, influence across functions, and operate autonomously in a small team where you are the deepest technical voice. Nice to have: Vercel platform experience; marketing/GTM systems integration (HubSpot, Salesforce, Segment, analytics); SEO and web performance engineering; prior experience as the first or most senior engineer on a web platform team.   COMPENSATION $220,000-260,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-JC2   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast. Key responsibilities Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences Contribute to internal tools that help teams author, manage, and publish content at scale Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members Move quickly from concept to working prototype, iterating in close collaboration with the team Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing Minimum qualifications Have solid experience with modern frontend frameworks, particularly Next.js or similar React-based tooling, and are comfortable working within a design system Understand CSS at a level that lets you implement complex layouts, animations, and interactive experiences with precision Have hands-on experience with headless CMS platforms and can navigate content modeling, structured data workflows, and the operational side of keeping a large site running Have built internal tools or contributed to workflows that improve how teams work day-to-day, and enjoy that kind of problem-solving Can prototype quickly and iterate confidently, moving from rough idea to working proof-of-concept without getting stuck Communicate clearly with both designers and engineers, and care about shipping work that's both technically sound and visually refined Have a track record of contributing to production web properties at a mid-level scope, and are motivated to grow into owning larger, more complex projects Preferred qualifications Experience with AI-assisted development workflows Interest in generative or programmatic design Familiarity with localization or internationalization systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. As a People Operations Business Partner, you will guide and support employees while serving as an advisor to managers and the leadership team. This role is hands-on and execution-focused, weighted toward employee relations casework alongside broader program delivery (performance reviews, talent calibration, role design, and training rollout). You'll play a key role in embedding consistent people practices, contributing to team-wide initiatives, and ensuring employees and managers have a well-supported experience across our international footprint. Salary: $130,000 - $150,000 Location: New York City What the People Operations Business Partner will do: - Own frontline employee relations, managing complex cases end-to-end and ensuring fair, consistent, and legally sound outcomes. - Partner with managers to solve day-to-day people issues, coaching on performance management, feedback, and difficult conversations. - Manage employment matters across a global workforce, building deep multi-jurisdiction employment law knowledge and working directly with PEOs, external counsel, and local advisors across AMER, EMEA, and APAC.. - Provide clear, pragmatic HR policy guidance and contribute to policy updates alongside legal. - Support our contractor and non-employee populations, navigating the distinct compliance and relationship issues they carry. - Use people data to spot trends and work with managers on practical fixes. - Advise on retention actions such as pay adjustments, promotions, and recognition. - Use AI tooling to increase leverage across casework, drafting, and analysis. - Support delivery of people programs and systems, including hands-on training rollout. SKILLS AND ABILITIES THAT THE CANDIDATE CAN BRING: - Progressive experience across multiple HR disciplines, including operations, compensation, organizational design, learning & development, employee relations, inclusion, and performance management. - Experience supporting international leaders and teams, with practical awareness of local employment laws and best practices across multiple jurisdictions. - Broad experience resolving complex employee relations issues, ideally in a fast-scaling or tech environment. - Demonstrated ability to build strong, trusted relationships with leaders — including in high-tension, legally sensitive situations — and act as an objective, influential advisor. - Experience building and defining training programs and practices from the ground up. - Exceptional time management, with the ability to juggle multiple priorities in a fast-paced, ambiguous environment. - Proactive project tracking and organizational skills, ensuring initiatives are delivered on time and to a high standard. - Proactive problem-solver who anticipates needs, raises challenges early, and takes ownership of outcomes. - Fluency with modern HRIS/ATS and people tooling (e.g. HiBob, Deel, Ashby) Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United Kingdom; Ireland; Poland Workplace: Remote As an Engineering Manager on Coder’s Agentic Engineering team, you’ll lead engineers building and evolving the systems behind our agentic development experience. You’ll help make agents more capable, reliable, and useful across real development environments. You’ll guide technical direction, grow the team, and keep execution sharp. You’ll work closely with Engineering, Product, and Design across the agent harness, integrations, and developer workflows. WHAT YOU’LL DO HERE - Lead and grow a team within our Agentic Engineering organization. - Set technical direction across the agent harness, integrations, and workflows. - Stay close to the code and contribute to architecture and implementation decisions. - Evolve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve reliability, performance, and operability across agentic systems. - Coach engineers, raise the technical bar, and create clarity around priorities and tradeoffs. WHAT WE’RE LOOKING FOR - Experience managing and growing software engineering teams. - Strong hands-on engineering experience with Go. - Experience with React and TypeScript. - Hands-on experience building systems around LLMs and agentic workflows. - Experience with model APIs, tool calling, context management, or agent loops. - Strong distributed systems knowledge. - Working knowledge of AWS. - Strong technical judgment and comfort working through ambiguity. - A track record of helping engineers grow while maintaining a high execution bar. OUR TECH STACK - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions BONUS TACOS IF YOU HAVE - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building abstractions across multiple model providers. - Deep experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers. Coder’s agentic architecture is provider-agnostic. The foundation is built; this team is focused on making it more capable, reliable, and extensible as the space evolves. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. The Fanatics App is becoming the daily home for sports fans - the place they buy, bet, collect, and play from one connected surface. The Shop pod owns the commerce heart of that experience: how fans discover, browse, and buy licensed gear, jerseys, and exclusive drops without ever leaving the app they already live in. You'll lead design for the App Shop experience discovery, merchandising, product detail, and the handoff into cart and checkout - inside an app built to serve fans who come in wanting three very different things: to shop, to play, or just to check the score. Shop has to earn its place next to those other surfaces, feel unmistakably Fanatics, and convert without ever feeling like a bolted-on storefront. This is a hands-on Staff role. You'll set the design direction for the pod, ship the work yourself, and raise the design bar for the team around you. WHAT YOU'LL OWN End-to-end Shop design: discovery and browse, merchandising and personalized recommendations, product detail, and the cross-sell and post-purchase moments that turn a single sale into a habit. Multi-milestone design programs, at times ambiguous - you'll drive them to business outcomes with minimal oversight, shaping product vision and managing stakeholders and team capacity. The pod's slice of the FanApp design system: patterns for product cards, merchandising modules, and recommendation surfaces that other pods can adopt. Prototyping as the way you decide, including in the product environment itself (code/app, not just Figma) - using AI tools to explore and validate real behavior against real data and backend constraints. Design evaluation and validation standards for the pod: setting the bar for how work gets critiqued, redlined, and handed off to engineering. Mentorship for designers on and around the Shop pod - craft, ownership, and collaboration. HOW YOU'LL WORK You'll partner closely with the Shop pod's Product Manager and Engineering Manager, sitting inside the pod rather than serving it from a distance. You'll also work horizontally with the other FanApp design staff and leads to keep Shop's patterns coherent with the rest of the app - Home, Scores, Loyalty, and beyond. Expect to partner with pod leadership on planning and roadmap-building, influencing what gets prioritized based on user insight, design principles, and business impact - and to connect that strategy to your own day-to-day execution. WHAT SUCCESS LOOKS LIKE A Shop experience that measurably grows conversion and repeat purchase, especially among Shop-led Fans, without alienating fans who came to the app for other reasons. Discovery and merchandising patterns adopted elsewhere in the app because they're good, not because they're mandated. A visibly lower drop-off between discovery, product detail, and the handoff to cart/checkout. A team that ships with a higher craft bar because you raised it. WHAT WE'RE LOOKING FOR 10+ years in Product Design, with experience operating at Staff scope - owning design across a team, not just a feature. E-commerce, shopping, or merchandising design experience; you understand what makes a fan click “buy” versus keep scrolling. Strong systems thinking - you've built patterns and components that other teams adopted, and you know why some libraries stick and most don't. Prototyping fluency, including in the product's own code/app environment, and comfort using AI tools to move faster without losing rigor. A track record of mentoring designers and setting design/craft standards for people beyond yourself. Comfort in a mobile-first, fast-moving consumer environment where the roadmap can be ambiguous and priorities shift. DESIGN CRAFT You design complete systems, not just screens - you can hold the whole Shop experience in your head without losing the individual moment. You're a custodian of visual and interaction quality for your area, and you know when to simplify and unify rather than add another pattern. You prototype fluently enough to settle debates with a demo instead of a deck. You mentor by example - the designers around you get better because they're working next to you. You understand the data and backend realities well enough to design interactions that are feasible, resilient, and predictable at the edges. #LI-LS2 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $136,000 — $190,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. We’re now launching AI Labs - an incubator-style team operating like a startup within the company - to expand our reach and provide cutting-edge technical solutions to cities in areas beyond transit. As a Staff Engineer at Via, you'll be a founding member of Via's AI Labs. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and our partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale - without the constraints that usually come with it. If you're experienced at building AI products end-to-end and you're energized by the idea of doing that with a blank canvas, this is the role for you. About the Role: Build and ship production-grade AI products end-to-end - owning everything from problem framing and data pipeline design through to deployment and iteration in live environments. Work closely with our partners in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions. Lead technical scoping workshops, directly interfacing with city leaders to solve challenging local problems with agentic workflows. Work across a fast-moving and varied roadmap, contributing to intelligent tooling involving data consolidation, predictive modelling, real-time decision-making, and LLM-powered experiences. Collaborate directly with product, data science, and operations teams to identify and prioritize the highest-impact AI opportunities across the business. Write clean, scalable backend code that powers AI-driven features - designing APIs, managing data flows, and ensuring your systems perform reliably at scale. Help shape the technical culture of AI Labs from the ground up - contributing to how the team builds, reviews, ships, and iterates. Stay close to the frontier of AI development and bring new ideas, tools, and approaches into the team proactively. About You: You have 10+ years of hands-on experience building full stack applications and - with a track record of owning features end-to-end rather than working in isolation on models or research. 3+ years of working with AI tools and/or building AI powered products You have deep expertise across the AI stack - including LLMs, predictive modelling, and the data infrastructure required to support them in real-world environments. You're a strong engineer at your core - comfortable designing scalable APIs, working with distributed systems, and writing code that is clean, maintainable, and built to last. You're energized by ambiguity and early-stage environments - you don't need everything to be defined to do great work, and you take ownership without being asked. You bring the communication skills to work cross-functionally and the intellectual curiosity to keep pushing the boundaries of what's possible with AI. You thrive when working directly with users and customers, and are comfortable with travel to collaborate on-site. Compensation and Benefits (US only) Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $250,000 - $300,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. We’re now launching AI Labs - an incubator-style team operating like a startup within the company - to expand our reach and provide cutting-edge technical solutions to cities in areas beyond transit. As a Forward Deployed Engineer at Via, you'll be a founding member of Via's new AI Labs - an incubator-style team operating like a startup within the company. This is a rare opportunity to get in at the ground floor of something genuinely new: a dedicated space to move fast, experiment boldly, and build AI-powered products that could fundamentally change how Via and our partner cities operate. You'll have real autonomy, direct access to leadership, and the backing of a company that's already at scale - without the constraints that usually come with it. If you're experienced at building AI products end-to-end and you're energized by the idea of doing that with a blank canvas, this is the role for you. About the Role: Build and ship production-grade AI products end-to-end - owning everything from problem framing and data pipeline design through to deployment and iteration in live environments. Work closely with our customers in a forward-deployed manner to deeply understand problems and constraints and iterate quickly on scalable agentic solutions. Lead technical scoping workshops, directly interfacing with city leaders to solve challenging local problems with agentic workflows. Work across a fast-moving and varied roadmap, contributing to intelligent tooling involving data consolidation, predictive modelling, real-time decision-making, and LLM-powered experiences. Collaborate directly with product, data science, and operations teams to identify and prioritize the highest-impact AI opportunities across the business. Write clean, scalable backend and frontend code that powers AI-driven features - designing APIs, managing data flows, and ensuring your systems perform reliably at scale. Help shape the technical culture of AI Labs from the ground up - contributing to how the team builds, reviews, ships, and iterates. Stay close to the frontier of AI development and bring new ideas, tools, and approaches into the team proactively. About You: You have 5+ years of hands-on experience building full stack applications - with a track record of owning features end-to-end rather than working in isolation on models or research. You have 3+ years of working with AI tools and/or building AI powered products You have deep expertise across the AI stack - including LLMs, predictive modelling, and the data infrastructure required to support them in real-world environments. You're a strong backend engineer at your core - comfortable designing scalable APIs, working with distributed systems, and writing code that is clean, maintainable, and built to last. You're energized by ambiguity and early-stage environments - you don't need everything to be defined to do great work, and you take ownership without being asked. You bring the communication skills to work cross-functionally and the intellectual curiosity to keep pushing the boundaries of what's possible with AI. You thrive when working directly with users and customers, and are comfortable with travel to collaborate on-site. Compensation and Benefits (US only) Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $160,000 - $220,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: Singapore; Korea Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! As the Senior Director of Solutions Architecture for Asia Pacific at Cohere, you will own Solutions Architecture across the region. Our customers here are banks, telcos, industrials and governments who cannot send their data to someone else’s cloud, and who are past experimenting and into production. You will lead the team that makes those deployments real, and you will be accountable for the technical win across the region. This is a build. Today a Solutions Architecture team covers Korea, Japan and Southeast Asia. You will own that team, grow it, and build the in-region depth this market needs. You will be expected to open doors on your own credibility and network from your first weeks, set direction for the function, sit on the Solution Architecture leadership team alongside the regional leaders for the Americas and EMEA, and contribute to company-wide decisions with your peers across Sales, Product and Engineering. IN THIS ROLE, YOU WILL: - Build and Lead the Team: Hire, coach and develop the Asia Pacific Solutions Architecture organization, and establish in-region depth rather than relying on support flown in from other regions. - Open Doors Across the Region: Bring industry knowledge, technical credibility and an existing network to get Cohere into strategic accounts quickly. This is the central expectation of the role and you should expect to be measured on it. - Own the Technical Win: Be personally accountable for the technical outcome of the region’s most strategic pursuits, and be in the room for the ones that decide the year. - Set Direction for the Function: Define the vision, strategy, coverage model and operating rhythm for Asia Pacific Solutions Architecture across three markets that buy differently and regulate differently. - Architect Sovereign and Regulated Deployments: Lead customers into secure, scalable, production-ready agentic AI deployments across cloud, hybrid, VPC, on-premises and air-gapped environments, which is where much of this region’s demand sits. - Build Repeatable Solution Practices: Establish scalable solution-selling methodologies, industry playbooks, executive narratives, business cases and technical delivery frameworks that improve consistency and win rates. - Partner with Regional Sales Leadership: Own territory, coverage and pipeline jointly with the Asia Pacific sales leader, and be accountable for the number together. - Shape Product Direction: Partner closely with Product and Engineering to translate Asia Pacific customer needs into platform improvements and roadmap priorities. You will be one of a handful of people who can tell our product organization what this region actually requires. KEY RESPONSIBILITIES: - Build and develop the Asia Pacific Solutions Architecture team through hiring, coaching, performance management and career development. - Partner with regional Sales leadership to pursue and close strategic enterprise opportunities across financial services, telecommunications, industrials, technology and the public sector. - Establish and own the regional coverage model across Korea, Japan and Southeast Asia, and make the case for where the team grows next. - Lead executive workshops, discovery sessions, solution presentations and technical deep dives with C-suite and senior customer stakeholders. - Develop business cases, solution architectures, implementation roadmaps and technical proposals that align customer objectives with Cohere’s platform. - Guide customers through the deployment of enterprise AI solutions, ensuring scalability, security, governance, data residency and operational readiness. - Create repeatable solution assets, industry playbooks and best practices that enable the team to consistently deliver high-quality customer engagements. - Collaborate cross-functionally with Product, Engineering, Sales and Customer Success to ensure alignment between customer needs and platform evolution, and contribute to decisions that reach beyond your own function. - Serve as the voice of the region by capturing customer feedback and competitive insights that influence product strategy. - Own and report on the region’s operational and commercial metrics, including technical win rates, pipeline health, coverage and team performance. WHAT WE’RE LOOKING FOR: - Leadership Experience: 15+ years in Solutions Architecture, Solutions Engineering, Technical Consulting or Enterprise Architecture, including 7+ years leading customer-facing technical teams, and a record of developing people into senior and leadership roles. - Regional Depth and Network: You have built or run a technical organization across more than one Asia Pacific market, you understand how enterprise technology is actually bought in each of them, and you have a network of senior technical and executive relationships you are willing to be measured on. - People Leadership: A proven record of hiring, coaching and developing high-performing Solutions Architecture or Solutions Engineering teams, including building a team in-region from a small base. - Hands-On Technical Credibility: You are technical enough to be believed by a strong engineering bench. You have put real AI systems into production, you can pressure-test your team’s architecture, and you can be the most useful person in a design conversation when it matters. We care far more about what you have deployed, and what broke, than about which models you can name. - Commercial Acumen: A demonstrated ability to partner with enterprise Sales leadership, influence strategic deals, and articulate business value to executive stakeholders. You have carried a number and can point to deals you personally moved. - Executive Presence: You command a room. You are credible in front of a CEO and their business leaders as well as a Chief Information Officer, a Chief AI Officer or a Chief Information Security Officer, and you can move between the business case and the architecture without losing either audience. - Technical Expertise: A strong understanding of modern AI architectures, including large language models, agentic systems, retrieval, enterprise integrations, cloud platforms, hybrid and on-premises deployments, security and governance. - Enterprise Experience: Experience designing and delivering enterprise technology solutions in complex, regulated or large-scale environments. PREFERRED QUALIFICATIONS: - Experience building an AI, machine learning or data science function inside a large regulated enterprise, and taking it into production. - Depth in Asia Pacific financial services, telecommunications or the public sector. - Experience deploying into environments where the customer controls the infrastructure, including on-premises, sovereign and air-gapped deployments. - Background in enterprise AI, cloud, or data platform companies, or applied AI consulting organizations. - Experience building repeatable solution-selling methodologies and helping generalist technical teams operate at a consistently high level. - Working proficiency in a regional language in addition to English. - Experience operating in high-growth environments where speed, ownership and cross-functional collaboration are critical. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We 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 https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Below you can find more information about the teams we're hiring for: Language Learning: The Language Learning Pillar owns the core learning experience on Duolingo — the lessons and immersive experiences where language learners spend a majority of their time in the app. Our goal is to make these sessions as effective and engaging as possible by continuously improving how we teach through new exercise types, smarter practice of skills, better scaffolding and personalization to help learners build foundational skills in a new language. As an engineering manager in this pillar, you'll lead a team of engineers working on high-impact, cross-functional problems at the intersection of engineering, product, and pedagogy. We're looking for leaders who are passionate about improving how people learn, and who bring strong technical judgment along with the people-management skills to build a high-performing, collaborative team culture. 🧠  You will... Co-lead a cross-functional team with partners in product management, aligning on strategy, priorities, and success metrics for features that drive meaningful user impact. Drive execution of projects from spec to implementation, experimentation/analysis, and ongoing ownership, while ensuring infrastructure reliability, scalability, and observability. Use data and rapid experimentation to inform decisions; partner with internal stakeholders to design A/B tests and translate insights into product improvements that measurably impact key product KPIs. Attract, grow, and retain diverse engineering talent; provide clear expectations, coaching, and career development, and build a healthy, inclusive team culture. Set engineering quality standards and processes that balance speed and long-term maintainability; proactively manage tech debt, product quality, and operational excellence. Collaborate closely with product, design, research, and other engineering teams to deliver user experiences that serve user needs while being impactful towards business metrics. Define team OKRs, ruthlessly prioritize, and remove roadblocks to enable teams to do their best work. ✅  You have... Experience leading, managing, and building a team of software engineers, with demonstrated ability to hire, develop, and retain talent. A track record of shipping multi-engineer, multi-week+ projects with measurable business impact, balancing speed and quality. Strong product instincts and comfort in highly experimental, data‑driven environments; experience defining metrics and running A/B tests with analytics or data science partners. Excellent communication and stakeholder management skills across engineering, product, design, and data; clear written specs and status updates. Technical depth sufficient to guide architecture and implementation trade‑offs, evolve quality standards, and mentor engineers on best practices. A Bachelor's degree in Computer Science or a related technical field. The ability to work from or relocate to Pittsburgh, PA or New York, NY. ⭐  Exceptional candidates will have... Experience leading cross-functional teams focused on driving core product outcomes in consumer products. Experience setting team OKRs and operating cadences that consistently deliver outsized impact on company‑level metrics. Background dealing with ambiguity and managing teams or projects with broad cross-functional scope. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $204,000 — $306,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: 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 accommodations@duolingo.com . Equal Employment Opportunity: Duolingo 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. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: East Coast - USA About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll join Smartcat's evolving GTM Operations team at a pivotal moment — with the flexibility to work broadly across Sales and Customer Operations, using AI as a core part of how you operate, and the room to shape your focus over time based on business needs and your own strengths. You'll report to the Head of Revenue Operations and have real influence over how the GTM organization runs. MISSION Help build, run, and improve the systems and processes that power Smartcat's go-to-market organization — spanning both pre-sale and post-sale motions — using AI as a core part of how you work to accelerate analysis, automate workflows, and improve decision-making across the customer lifecycle. OUTCOMES Partner with GTM teams to solve operational challenges across the customer lifecycle, from lead management and new-business pipeline through handoffs, renewals, and expansion Use AI, automation, and strong systems thinking to simplify workflows, improve team productivity, and reduce manual work Deliver clear reporting, analysis, and insights that improve forecasting, planning, pipeline visibility, and business decisions Support selected systems, process, or commercial initiatives — such as CRM improvements, Deal Desk, territories, data quality, or GTM tooling — based on current priorities Lead cross-functional projects from problem definition through implementation, documentation, adoption, and continuous improvement Help shape the evolving GTM Operations function while developing deeper expertise in the areas that best align with business needs and your strengths HOW YOU'LL RAMP By Day 30: Learn Smartcat's GTM systems, tech stack, and current operational priorities across pre-sale and post-sale motions Meet with GTM leaders and frontline teams to understand existing operational gaps and pain points Get oriented in the CRM and reporting infrastructure you'll be working within By Day 60: Be actively contributing to at least one focused initiative (e.g., CRM improvement, Deal Desk, territories, or data quality) Start identifying and building AI-assisted workflows to reduce manual work on a specific process Be delivering reporting or analysis that GTM leaders are using in planning or forecasting conversations By Day 90: Be leading a cross-functional project independently, from problem definition through implementation and adoption Have a clear point of view on where you can add the most focused, specialized value going forward Be a trusted operational partner to GTM leaders across at least one full stage of the customer lifecycle WHAT YOU'VE ACCOMPLISHED 4-7+ years of experience in Revenue Operations, Sales Operations, Customer Operations, or Business Operations in a B2B SaaS environment Broad experience across both pre-sale and post-sale motions, with working knowledge of several GTM disciplines such as lead and pipeline management, forecasting, territories, Deal Desk, customer handoffs, renewals, or expansion A track record of succeeding in a hands-on, cross-functional operations role and adapting quickly as priorities change Strong practical fluency with generative AI and automation tools — identifying high-value use cases, building AI-assisted workflows, evaluating outputs critically, and helping others adopt new capabilities responsibly Strong CRM expertise, including workflow automation, lifecycle stages, reporting, data quality, and integrations Strong business intelligence and analytical skills, with the ability to turn complex data into clear insights and recommendations Experience working across a modern GTM technology stack (e.g., Chili Piper, ZoomInfo, DealHub, sales engagement, customer success, territory management, or enablement platforms) — expertise in every category isn't expected A builder mindset and comfort moving between analysis, process design, systems, automation, documentation, and hands-on execution Strong problem-solving, prioritization, communication, and stakeholder-management skills Ability to translate business goals into practical operational solutions and carry work from initial analysis through implementation and adoption Experience implementing AI-enabled workflows, GTM systems, or cross-platform automations is a plus Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for a Revenue Accounting Manager to own billing, contract review, and revenue recognition as Baseten scales. This is a hands-on, individual-contributor role for someone who wants full ownership of the revenue cycle at a company where deal structures are getting more complex: usage-based pricing, committed capacity, credits, multi-year enterprise contracts, and new business models coming online. You'll join Lauren, who built Baseten's quote-to-cash function from the ground up, to take on billing, contract review, and revenue recognition as deal volume and complexity grow. Having completed our first year-end audit, we're now focused on tightening contract review processes, close procedures, and reporting rigor to support the scale ahead. You'll partner closely with Lauren, FP&A, Sales, Legal, and Revenue Operations to make sure every deal is structured, billed, and recognized correctly from day one. Baseten is building the infrastructure layer for AI-native companies, and we're scaling quickly - in deal volume, contract complexity, and customer size. If you want real ownership over a growing function on a lean team, this role offers real scope. RESPONSIBILITIES Revenue Recognition and Technical Accounting - Own revenue recognition under ASC 606 across all contract types, including usage-based/consumption arrangements, committed capacity deals, credits, multi-year contracts, and new business models - Serve as the go-to person on rev rec treatment for new deal structures, products, and pricing models Billing Operations - Own end-to-end billing: invoice generation, accuracy checks, and dispute resolution - Identify and automate manual, error-prone steps in the billing-to-cash workflow - Assist with strengthening our collections efforts and overall process Contract Review and Deal Support - Build and maintain a standardized contract review process for Sales and Legal, flagging non-standard terms that affect recognition before deals close - Partner directly with Sales, Revenue Operations, and Legal as a proactive advisor on deal structuring Sales and Indirect Tax - Own the sales and indirect tax process, including reviewing and maintaining our tax automation tool (nexus tracking, exemption certificates, filings), and building the governance around it as we scale into new jurisdictions Close and Reporting - Own the revenue-related monthly close: deferred revenue rollforward, unbilled AR, credit memos, and revenue reserves - Partner with FP&A to reconcile billed vs. recognized revenue and support ARR reporting and forecasting - Own revenue-related audit deliverables, including technical memos and sample testing support REQUIREMENTS - 5+ years of progressive accounting experience, including 3+ years focused specifically on revenue accounting and recognition - Deep working knowledge of ASC 606, including variable consideration, multiple performance obligations, and usage-based revenue models - Hands-on experience reviewing and abstracting commercial contracts for accounting treatment - Experience owning billing operations directly, not just reviewing output from a billing team - Public company or audit-ready private company experience (Big 4 or industry, with audit exposure) - Builder mentality with a bias toward execution; comfortable operating on a lean team relative to company scale - Experience with NetSuite (or comparable ERP) and a modern billing platform - Based in San Francisco or New York, with the ability to work in-person 3+ days per week NICE TO HAVE - Experience at a high-growth, venture-backed infrastructure or cloud company with usage-based or hybrid pricing - Experience with committed-use/capacity contracts - Experience overseeing sales and indirect tax compliance through an automated tax tool across multiple jurisdictions - CPA - Exposure to SOX controls in a revenue cycle context BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: London Office; Berlin Office Workplace: Hybrid About the role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Recruiter to be the face of Taktile for our future team members. Your primary responsibilities will include sourcing, recruiting, and managing the candidate journey to ensure we attract and hire exceptional talent. As a key driver of our growth, your work will directly influence the success and scalability of our operations. This role is perfect for someone eager to play a central role in shaping Taktile's organization. We are looking for a skilled recruiter who knows how to identify and attract top talent and who thrives in the fast-moving, competitive landscape of AI. This role is based in our London or Berlin office. We believe great recruiting is highly collaborative and relationship-driven, so we work together in person at least three days per week. What You'll Do - Own the full recruiting cycle for a portfolio of GTM roles, from role scoping with hiring managers through offer close, moving fast without sacrificing quality or candidate experience. - Build and execute sourcing strategies tailored to each role, using LinkedIn Recruiter, AI-assisted tools, and creative outreach to reach both active and passive candidates. - Act as a strategic partner to hiring managers, not just an executor. That means shaping job requirements, challenging assumptions, and keeping searches on track when priorities shift. - Deliver a standout candidate experience at every touchpoint: clear communication, timely feedback, and a process that reflects Taktile's values even when we're moving quickly. - Leverage data to drive decisions. Track pipeline health, identify drop-off points, and share regular hiring funnel updates that lead to action, not just reporting. - Act as a strong partner and domain expert to the organization. Collaborate closely with leaders to comprehend their hiring needs and develop recruiting strategies to meet headcount targets. This person will be a senior partner to our leaders and shape our overall talent strategy. - Contribute to how we hire, not just who we hire. Help refine our assessment frameworks, improve structured interview practices, and bring new ideas for how Taktile stays competitive in a tight talent market. - Support employer branding and talent marketing through events, content, and community presence, making Taktile a name candidates recognize and want to join. - Collaborate with People Ops to ensure smooth handoffs post-offer, including onboarding coordination, relocations, and visa support where needed. Required Experience - 5+ years of hands-on experience in proactive sourcing and talent acquisition, preferably in high-growth startups or dynamic environments. - Deep experience hiring across GTM functions- including Account Executives, BDRs, Solutions Engineers, Forward Deployed Engineers, & Marketing. You know how to read a strong GTM candidate and how to sell a compelling opportunity to them. - Experience partnering with leaders throughout the recruiting process, acting as a strong hiring partner and trusted advisor. - Actively using AI tools in your recruiting workflow- whether for sourcing, outreach personalization, candidate research, or pipeline management. You stay current with the evolving recruiter tech stack and bring a point of view on how AI can make hiring smarter and faster. - Skilled in using LinkedIn Recruiter, ATS tools, and Google Suite to streamline the recruitment process for both active and passive candidates. - Proficient in sourcing talent across a range of seniority levels, from entry-level graduates to senior professionals. - Expertise in conducting behavioral and competency-based interviews with a strong ability to effectively evaluate candidates’ skills, cultural fit, and potential. - Experience managing both high-volume hiring and specialized searches for niche roles. - Familiarity with tracking and analyzing recruitment metrics (e.g., time-to-hire, quality of hire, and source effectiveness) and using data to refine strategies and improve processes. Ideal, But Not Required - Experience in B2B SaaS recruitment. - Familiarity with Ashby Our Offer - Make a meaningful impact by shaping a fast-growing company and creating new opportunities. - We offer a competitive salary for this role along with an equity component as part of the total compensation package. The final compensation, including salary and equity, will be determined based on factors such as experience, qualifications, and market conditions. - Market-led and competitive benefits package including access to a self-development budget for conferences, books, or classes. - Join us onsite in our inspiring office spaces in Berlin, NYC, or London. - Experience a truly flat hierarchy, interacting directly with founding team members and voicing your ideas. - Learn from experienced mentors, including the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. - Join us at an early but pivotal growth stage where you can take ownership to help us achieve the right business outcomes.  Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it.  - We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions and celebrate love in its many forms. We won't inquire about how you identify, or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.   By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role You will own the production system behind Turing’s software-engineering data programs, turning complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost. These programs may involve supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly to changing research requirements. This is an operations leadership role with a meaningful technical bar. You must be able to inspect code, understand tests, interrogate quality signals, and challenge a workflow or rubric when it is not producing the intended result. You will not be expected to act as the principal engineer for every program. Your primary responsibility is to build and operate the system that consistently produces high-quality technical work at scale. What You’ll Do 1) Operational execution — own end-to-end delivery on every project you run Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality. Diagnose bottlenecks in real time — re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets. Run daily “war room” syncs to stay ahead of issues before they reach the customer. 2) Customer relationships — be the face of Turing to the world’s leading AI labs Act as the primary point of contact for researchers and program managers at frontier AI labs. Deliver clear, consistent reporting and proactively anticipate client needs before they ask. Build the kind of long-term trust that converts a one-off project into a multi-year partnership — and identify expansion opportunities along the way. 3) Large-scale coordination — orchestrate the work of 100–1,000+ contributors Source, vet, onboard, train, and performance-manage domain experts across distributed workspaces. Maintain high execution standards at every stage of production, from annotation through review through delivery. Design motivation and performance systems — including gamification — that keep large contributor pools engaged and output high. 4) Quality ownership — ensure world-class data integrity on every project Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips. Analyze datasets to identify trends, anomalies, and systematic errors — then fix the root cause, not just the symptom. Implement and continuously improve annotation, evaluation, and curation best practices. 5) Process innovation — make the operation faster, better, and cheaper each cycle Stay ahead of emerging practices in AI data operations and apply them before customers ask. Champion workflow changes that reduce task completion times and improve cost efficiency. Maintain clear, scalable documentation so that improvements survive beyond any single project. 6) Playbook building — codify what works so future SPLs scale faster than you did Document onboarding scripts, quality benchmarks, contributor management frameworks, and escalation patterns. Own your domain’s section of the SPL knowledge base. Actively mentor the next hire — your playbook is your legacy. Who We’re Looking For Background in consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects. Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language. Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships. Excited by gritty process optimization and large-scale execution — you thrive on making complex operations faster, cleaner, and more reliable. What Success Looks Like 30 days: First project delivered end-to-end with no quality escapes reaching the customer. Reporting cadence established and trusted by the lab. Contributor onboarding playbook v1 published. You know the names of every researcher on your accounts. 60 days: 300+ active contributors across concurrent workstreams, all executing to standard. At least one customer has proactively expanded scope based on delivery quality. Quality framework codified and in daily use by your team. 180 days: $5M+ in active project revenue under your management. A second SPL is ramping off your playbook. You spend more time multiplying through others than operating as a solo contributor. Why Turing Work directly with the world’s leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research. Real impact on the path to AGI: the data you deliver will directly influence how frontier models are trained and evaluated. High ownership and influence. You will shape how Turing delivers at scale, with direct visibility to senior leadership. Direct-to-research customers. You will spend your time partnering with the people building the future of AI, not coordinating with procurement. How to Apply Send a CV and a short note on a project you managed end-to-end — ideally something that required coordinating a large team, managing a demanding client, or solving a hard quality problem under time pressure — to recruiting@turing.com. We read every submission. Compensation SPL: Base Salary: $120K-$200K Total Target Compensation: $195K-$300K (includes salary, variable, and equity) Senior SPL: Base Salary: $150K-$280K Total Target Compensation: $300K-$500K (includes salary, variable, and equity) Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Network Security team's remit is to secure Anthropic's networks across our cloud providers and our bare-metal AI data centers. We own egress and ingress controls, network segmentation, private connectivity between environments, and encryption in transit. We design, build, and maintain these controls, and we write the software that deploys, enforces, and monitors them. These controls protect our model weights, customer data, and internal assets. We are hiring an Engineering Manager to lead this team. Anthropic is adding data center sites and cloud regions quickly, and the team will grow with that work. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure networking, cluster, and data center teams so security is built into network designs from the start. The goal is secure-by-default networking that lets research and product teams use compute in any environment without slowing them down. Key responsibilities We're hiring an Engineering Manager to lead a Network Security Engineering team in executing across critical initiatives including, but not limited to: Own the network security roadmap: threat model from the management plane through Kubernetes and cloud interconnects, decide what to build, and deliver it Be able to reason about the design and implementation of default-deny ingress and egress, segmentation between research, training, and production, private connectivity, and mTLS/service identity across every environment Ship these as secure-by-default primitives so new clusters, VPCs, and data center links inherit the right boundaries without security on the critical path Join networking, cluster, and data center teams at design time so topology, routing, and firewall decisions carry our invariants from day one Build visibility into traffic and boundary drift, with detection for exfiltration paths and automated remediation where safe Own the network security evidence for our security goals and compliance: the invariants hold, and you can prove it Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Minimum Requirements: 8+ years of front line management experience Low ego, high empathy; has built diverse teams and has former reports who would work for them again Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers Has grown engineers into staff or lead roles, and has made the call to move someone out when coaching didn't work Kept a team intact and delivering through reorgs, charter changes, or leadership turnover Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small Hands-on network security engineering in cloud and/or on-prem environments: VPC design, interconnects, private service connectivity, cloud firewall policy, egress control, physical segmentation, and out-of-band/management-plane security Threat modeling and risk assessment for networked systems, with the judgment to tell which controls reduce risk and which just look good on a diagram Secured Kubernetes networking at scale, or worked in high-assurance environments where controls had to be evidenced, not just deployed Preferred Qualifications: Built or rebuilt a hiring loop and held the bar while adding headcount quickly Exposure to large-scale distributed training and what it demands of a network Solved end-to-end networking problems directly with internal users, cloud account teams, and hardware or colo vendors Has taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on at production-network reliability Pragmatic and steady: cares about unblocking research and product as much as a clean architecture, and brings patience and judgment to opinionated senior engineers Clear and persuasive communicator in writing and in person Familiar with AI security and safety concepts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, England, United Kingdom About Wheely Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East. We blend cutting-edge technology with the craft of five-star chauffeuring to deliver an experience trusted by more than 100,000 active riders and 1,200 corporate accounts. We’re a profitable, fast-growing scale-up with $43M raised and over $100M in annual revenue. Having recently launched in New York City, we’re expanding rapidly across the US and EMEA. If you take pride in your craft and want to help shape the next chapter of our growth, we'd love to hear from you. About The Role London is Wheely's largest market and our strategic priority: we're doubling down on it. As General Manager, you'll own a business approaching $100M in annual gross bookings/revenue, with over 1,200 chauffeurs and four teams reporting to you. You'll work directly with our CEO/Founder and executive team: close enough to move fast, with the backing to make decisions that matter. This is a 24/7 operation serving demanding customers. It requires intensity, commitment, and genuine passion for getting things right. Responsibilities P&L responsibility for London The offline product: pricing, availability and fleet composition Lead Driver Operations, Quality & Training (our Chauffeur Academy) and Marketing teams Drive operational performance and business growth, ensuring the right balance of supply, demand and service quality Collaboration with central Product team on the passenger and chauffeur experience Regulatory strategy: navigating London's complex licensing environment External representation: press, partnerships and key stakeholder engagement. Requirements Bachelor's or Master's degree in STEM or Economics from a leading university Minimum 7+ years of total experience, with 5+ years in investment banking, strategy consulting, or high-growth tech Excellent leadership and team management skills Strong analytical / problem solving skills Based in Central London What We Offer Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Life and critical illness cover Best-in-class equipment Monthly credit towards Wheely journeys Cycle to Work scheme Professional development stipend Relocation support, including visa sponsorship and allowance All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice

Location: New York; Stockholm; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a Detection & Response Engineer to build the systems that help us identify, investigate, and respond to threats across our platform. This is an engineering role focused on automation. You’ll build detections, investigation tooling, and response capabilities that scale with our infrastructure, using AI where it meaningfully improves signal, investigation speed, and operational effectiveness. You’ll work closely with infrastructure, platform, and security engineers to ensure every incident makes the platform more resilient. WHAT YOU'LL WORK ON: Detection Engineering - Design and build high-fidelity detections for attacks, abuse, and anomalous behavior across our infrastructure and production systems - Continuously improve detections based on telemetry, threat intelligence, and lessons learned from incidents - Improve visibility across cloud infrastructure, containers, identity systems, and production services Incident Response - Lead or participate in investigations spanning production infrastructure, cloud environments, and internal systems - Build playbooks and automation that reduce investigation time and improve response consistency - Drive post-incident improvements that eliminate entire classes of future incidents Security Tooling & Automation - Build internal tooling that improves detection, investigation, and response workflows - Leverage LLMs to automate repetitive analysis, accelerate investigations, and surface actionable insights from security telemetry - Improve the collection, quality, and usability of security telemetry across the platform Engineering Partnership - Partner with engineering teams to ensure new systems are observable and secure by default - Help teams instrument services with the telemetry needed for effective detection and response - Drive security improvements that make the platform easier to defend over time YOU MAY BE A FIT IF: - You have experience in detection engineering, incident response, security engineering, or software engineering with a strong security focus - You have strong software engineering skills and experience building production systems. - You’ve investigated security incidents in cloud-native or distributed environments - You’re familiar with modern cloud infrastructure, Kubernetes, Linux, and networking - You’ve built detections using logs, telemetry, behavioral signals, or large-scale event data. - You have strong SQL skills for investigating security events and developing detections - You’re interested in applying AI and LLMs to detection, investigation, and response, and in understanding emerging threats involving AI-powered systems - You have strong written and verbal communication skills NICE-TO-HAVE: - Experience building AI- or LLM-powered security tooling - Experience with SIEM, SOAR, or EDR platforms - Experience with Kubernetes security or large-scale cloud infrastructure - Experience with threat hunting, malware analysis, or digital forensics - Experience contributing to security operations in a high-growth engineering organization

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The Security team ensures that while AI moves at breakneck speed, everyone driving the racecar is wearing a seatbelt. We secure LangChain's core platform and protect AI agents from emerging threats. We work across the stack so developers can confidently ship from prototype to production without compromising on safety or privacy. ABOUT THE ROLE You'll be the hands-on detection and response engineer responsible for how we see, stop, and learn from threats across LangChain's production platform, cloud infrastructure, and the services that host and execute agentic workloads. You'll partner closely with Product Security to turn threat models, vulnerabilities, and incidents into telemetry, detections, and durable defenses. Your primary focus is engineering: building detection, investigation, and response systems that scale the Security team's impact beyond what manual operations allow. We are looking for engineers who think like builders, not just operators — strong software skills are a must. This role participates in an incident on-call rotation, but its core focus is engineering systems that reduce risk, speed up investigations, and make incidents less frequent and less costly. Location/City: San Francisco or NYC WHAT YOU'LL DO - Own the detection lifecycle: Translate threat models, incidents, and attacker behavior into telemetry requirements and detections-as-code. Validate coverage, measure signal quality, tune false positives, and continuously test whether defenses work. - Build security monitoring and telemetry: Design the telemetry pipeline end-to-end across cloud (GCP/AWS), Kubernetes, and the LangSmith/LangGraph control plane. Instrument services, define the signals that matter, and make security data reliable and useful. - Engineer investigations and threat hunting: Build tools and workflows for proactive hunting, evidence collection, incident scoping, and containment. Turn investigation findings into new detections and lasting improvements. - Use agents to scale the team: Build reliable internal AI agents and automation that triage alerts, enrich findings, gather evidence, scope incidents, and accelerate routine security work. Design human-in-the-loop controls and evaluations so automation is safe, observable, and trustworthy. - Lead incident response and participate in on-call: Triage, scope, contain, and remediate security incidents, then drive postmortems that produce durable engineering changes. - Partner with Product Security: Turn product threat models and vulnerability findings into production monitoring, and feed real-world detection and incident learnings back into secure design. WHAT YOU'LL BRING - 5+ years in security engineering, with meaningful experience in detection engineering, security operations, or incident response — and the software skills to build your way out of repetitive work. - Strong software engineering in Python or Go (TypeScript a plus). You design maintainable systems and write production code, not just one-off scripts. - Cloud and Kubernetes detection depth: Experience with GCP or AWS logging, Kubernetes audit and runtime telemetry, workload identity, and turning raw signals into actionable detections. - Detection and adversary expertise: The ability to model realistic attacker behavior, hunt across complex systems, test detection coverage, and distinguish meaningful signal from noise. - Hands-on incident response: You've participated in on-call, led incidents, and written postmortems that changed how a team operates. - Experience building reliable automation or developer-facing systems: You can design APIs and workflows, instrument what you build, evaluate quality, and operate it in production. - A pragmatic product mindset: You can identify users and requirements, prioritize the highest-leverage problems, define success, and ship iteratively. NICE TO HAVE - Experience building or operating AI agents for security workflows such as alert triage, investigation, evidence collection, or human-in-the-loop response. - Proficiency using AI tooling to accelerate security investigations and engineering work. - Understanding of AI threats, adversarial testing, and the security boundaries of LLM and agent workloads. - Exposure to SOC 2 or ISO 27001 monitoring and evidence automation. - Experience with infrastructure as code such as Terraform or Helm. - Experience securing both SaaS and self-hosted or air-gapped deployments. Annual salary range: $185,000- $250,000 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: AI Engagement Lead (Enterprise AI) Location: New York, NY Experience Level: 10+ years Compensation: $225,000 to $255,000 base salary + bonus + equity Work Model: Hybrid, three days per week in office Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. As an AI Engagement Lead, you’ll own GenAI engagements for Fortune 500 clients end to end, from POC to full-scale implementation, while leading a team of Turing Forward Deployed Engineers. The Turing GenAI delivery organization has implemented multi-agent LLM systems, RAG systems, and open source LLM deployments for major enterprises. This is a hybrid delivery and go-to-market role. Roughly 80% of your time goes to delivering for the client, and 20% to growing the account by extending projects and finding new opportunities across the client’s organization. As an AI Engagement Lead, You Will Lead from the Technical Front Provide hands-on direction on solution architecture and system design, stay deep enough to review and step into your FDEs’ work, and keep the team aligned on a technical roadmap that ships on time. Own the Client Relationship Be the primary point of contact for client communication, feedback, and escalations. Build trust with stakeholders, manage expectations proactively, and bring new LLM research into the conversation to show what’s possible. Grow the Account Look beyond the current project. Identify the next phase, the future path for the team, and adjacent opportunities in the client’s organization, and select the use cases that unlock new revenue for the client and for Turing. Lead the Team and the Delivery Lead and develop a team of Forward Deployed Engineers, own delivery quality, scope, and timelines across one or two projects, and make decisions with gross margin, ROI, and long-term impact in mind. Our AI Engagement Leads Typically Have Deep technical leadership: 10+ years of professional experience, including at least 4 years driving machine learning and AI projects and experience leading engineering teams as an engineering manager or technical lead. Hands-on GenAI expertise: Strong command of agentic designs and frameworks such as LangChain and LangGraph, and cloud services on Azure, GCP, or AWS. Client-ready communication: Excellent communication and stakeholder management, with a track record of owning client relationships. Founder’s mindset: The drive to own end-to-end GenAI deliveries and grow accounts, plus familiarity with Agile methodologies and tools like JIRA and Confluence. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .