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Location: San Francisco, CA | New York City, NY | Seattle, WA 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 As of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do Design, build, and operate the tools that help product teams ship faster Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt Move between building new tools and improving the shared systems that teams already depend on, as priorities shift You might be a good fit if you: Experience building and operating backend services or infrastructure in production, in Go, Python, Rust, or TypeScript Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems Experience leading large, complex technical projects across teams, from an ambiguous problem to a solution developers adopt Clear written and verbal communication, with experience supporting internal partner teams Interest in Anthropic's mission of building safe, beneficial AI Preferred qualifications: Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users Substantial experience with agents that do engineering or other technical work Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools Experience measuring developer productivity and using the data to decide what to build A point of view on how software engineering changes as agents write more of the code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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. 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: Самара Приглашаем присоединиться к проекту направленного на реализацию комплексного решения по индивидуализации ценообразования банковских продуктов физ.лиц. Наша цель – создание автономной расчетной системы для анализа сценариев, поиска оптимального сценария и его реализацию через индивидуальное предложение клиенту с использованием автономных AI агентов. Мы хотим построить передовую в РФ экосистему с принципиально новым клиентским опытом. Ключевые направления: индивидуализация ценового предложения продуктов кредитов физ.лиц, дебетовых и кредитных карт, вкладов, текущих счетов, инвестиционных продуктов, линейки подписок и пакетов, создание ИТ решения управления лимитами и полномочиями продающих подразделений банка; создание инструментов для расчета экономической эффективности финансовых пилотов. Обязанности * проектирование и реализация высоконагруженных распределённых решений на основе Apache Spark * разработка batch и streaming ETL-процессов * поддержка архитектуры корпоративных хранилищ данных (DWH, Data Lake, LakeHouse) * создание и оптимизация запросов на SQL и Spark SQL * участие в архитектурных сессиях и проектирование дизайна системы * проведение code review, обеспечение соблюдения стандартов кодирования. Требования * опыт разработки на Python от 3-х лет, с использованием pySpark * опыт работы с python data фреймворками (Pandas/Numpy) * понимание принципов SDLC и практический опыт создания python приложений с использованием распределенных вычислений, понимание принципов ООП, SOLID, паттернов проектирования * отличные знания SQL (Advanced) и опыт работы в аналитике данных (DWH, Data Lake, Lake House) * опыт в построении ETL * опыт работы с AI инструментами для повышения эффективности * понимание принципов CI/CD, подходов обеспечения качества. Будет плюсом: * инструментальное владение AI для анализа, генерации и автоматизации * навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом * опыт работы с Kafka, интеграционных взаимодействий (HTTP, REST, GraphQL) * опыт работы с Docker, Kubernetes * понимание основ Machine Learning (ML) * желание развивать навыки в технологиях genAI (Agentic, RAG etc.). Условия * только гибридный формат работы, г. Москва, г. Санкт-Петербург, г.Самара * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду.

• Work as an AI-leveraged engineer, owning features across backend, web, Android, and iOS. • Collaborate with product managers to shape goals into solutions.

Location: Tokyo, Japan WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The People Team at Notion exists to help build a generational company that enables people to do their best and most meaningful work. Hiring exceptional talent, at the right time and with care, is central to that mission. We’re looking for a Recruiting Coordinator in our Tokyo office to partner closely with Recruiters and Hiring Managers to create a thoughtful, well-run, and genuinely human candidate experience. This role sits at the center of our hiring process in Japan and plays an important role in how candidates experience Notion. WHAT YOU’LL DO: CREATE A CANDIDATE EXPERIENCE THAT REFLECTS NOTION You’ll be one of the first and most consistent touchpoints candidates have with Notion. From scheduling interviews to answering questions and resolving issues, you’ll help ensure every interaction feels organized, respectful, and intentional. You’ll collaborate closely with Recruiters and Hiring Managers to continually refine our processes so candidates leave feeling excited about what we’re building, regardless of the outcome. COORDINATE INTERVIEWS WITH CARE AND PRECISION You’ll manage and schedule a high volume of interviews across multiple time zones, primarily supporting Go-To-Market teams, including remote interviews and onsite panels. You’ll balance speed with attention to detail, anticipate needs, and communicate proactively to keep candidates and interviewers aligned. You’ll ensure logistics, materials, and feedback loops are clear and on time, and troubleshoot day-of changes and scheduling conflicts with a calm, solutions-oriented approach, making the process feel smooth and predictable, even as things move quickly. BUILD STRONG RECRUITING FOUNDATIONS This role is designed for someone early in their recruiting career who wants to build durable fundamentals. Over time, you’ll gain exposure to how we plan, execute, and scale hiring at Notion. With support from the team, you could take on light sourcing work, talent branding projects, process improvements, and additional ownership as your skills grow, creating a strong foundation for future growth in recruiting, operations, or people-focused roles. WHAT YOU’LL BRING: - At least 1–2 years of experience in recruiting coordination or interview scheduling, ideally in a high-volume environment - Strong organizational and prioritization skills, with a proactive, reliable approach and thoughtful attention to detail - A growth mindset, with a willingness to take ownership of mistakes, learn from feedback, and refine your processes to improve accuracy and consistency - A steady, calm approach in fast-moving environments - Ability to navigate ambiguity with optimism - Clear, kind, and professional communication skills to represent Notion to a large and diverse group of candidates - Fluency in Japanese and business-level English proficiency, with the ability to communicate effectively with candidates and colleagues in both languages - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - Experience supporting both technical and non-technical roles, including remote and in-person interview scheduling - Experience with Ashby, Workday, Slack, and Notion - Experience in a high-growth or startup environment #LI-Onsite By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco; United States; New York Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE You’ll use your creativity, problem-solving, and technical expertise to design tailored solutions that make a real impact. Embedded with our most strategic customers, you’ll get a front-row seat to some of our highest-stakes projects. From brainstorming technical architectures and product features to building full-scale integrations, you’ll take full ownership of complex, high-impact challenges—helping clients achieve their goals and push the limits of what’s possible. What you will do: - Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions. - Collaborate daily with our customer’s engineers and executives teams to ensure the best use of ElevenLabs’ technologies. - Drive real innovation by using your coding and technical skills to solve complex problems, making a real difference for our customers. REQUIREMENTS - Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity - Proficiency in Python and strong software development knowledge, inclusive of a deep understanding of software development, software architecture, and APIs integration. - Excellent communication and problem-solving skills. Especially in terms of ability to summarize complex technical knowledge and using logic in pursuing optimal solutions. Location This role is remote-first, so it can be executed from anywhere in the United States. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. Expect regular travel for customer onsites. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Hybrid - London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are seeking a Senior Deal Desk Analyst to join the Deal Desk team within our Revenue Operations function. This is a high-impact, high-visibility role at the center of how we structure, price, and close business globally — partnering with Sales, Finance, Legal, and Product to turn deals into signed revenue. You will lead the quote-to-contract execution cycle for our global sales team while helping build the systems, processes, and playbooks that scale a world-class Deal Desk. As the organization continues through a period of rapid growth, we are looking for someone who wants to shape the function rather than inherit it — bringing structure to ambiguity, modernizing how deals get done, and raising the bar for commercial excellence. This position reports to the Senior Manager, Global Deal Desk, and is preferably based in a hybrid capacity out of our London office. What you'll do Deal Management — Own the day-to-day deal review and closing process end to end, including deal approvals, deal structuring, and quote configuration within Vercel CPQ, ensuring every deal is executed accurately and on time. Commercialization & Execution — Drive deal execution in close partnership with Finance, Legal, GTM, Partnerships, Product, and Pricing. Design, build, and continuously optimize the sales and deal processes that bring new pricing, packaging, and product launches to market. Trusted Advisor — Serve as the subject-matter expert for the Sales organization, providing deal guidance and operational support. Approach complex, non-standard deals with creativity and sound judgment, developing practical solutions in ambiguous situations. Revenue Integrity — Act as the gatekeeper of data hygiene and opportunity data, partnering with GTM and Finance on audits for revenue recognition, financial reporting, and forecasting. Insights & Enablement — Analyze deal performance and market trends to develop new sales motions, deal levers, and training materials that increase sales velocity and reduce business risk, in partnership with the Pricing and Field Enablement teams. Operational Excellence — Identify opportunities to streamline, enhance, and automate processes. Translate needs into clear business requirements and leverage AI and automation to scale. What you need 4+ years of experience in deal desk, pricing, quote-to-cash, contract management, or a related Revenue Operations or Sales Operations function within the technology sector. A proven record of partnering effectively with Sales and cross-functional teams to move complex deals forward. Demonstrated experience in project management and process improvement. A collaborative team member who consistently delivers excellent sales support. A resourceful self-starter with strong critical-thinking and creative problem-solving skills. You think naturally about operational implications and downstream impact. You thrive in fast-paced, high-growth environments and operate effectively amid change and ambiguity. Nice to have Hands-on experience with Salesforce CPQ (or a comparable CPQ platform) A track record of using AI or automation to improve operational workflows. Bonus if you You’re located within London (HQ). We have offices for you to help build our office culture. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The London base pay range for this role is £65,000 - £85,000. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Los Angeles, United States; Warsaw, Poland; Tbilisi, Georgia; Batumi, Georgia; Buenos Aires, Argentina; Tallinn, Estonia LBC Mortgage is hiring an entry-level AI Search & SEO Specialist to get our brand found and recommended on Google, Google Maps and AI tools like ChatGPT, Gemini, Copilot and Perplexity. This is a hands-on, learn-fast role. You don't need years of SEO experience. You need to be obsessed with AI tools, follow a plan, test new ideas every week and track what works. New AI platforms and agents appear every few weeks, and you'll make sure we show up on them. What you'll do Build our listings. Create and maintain profiles on Google Business Profile, Bing Places, Apple Business Connect, LinkedIn, Yelp, Facebook, Trustpilot, Nextdoor, Foursquare and YellowPages. Keep our info consistent. Make sure our name, address and phone number match exactly on every platform. Get us cited by AI. Use Generative Engine Optimization (GEO) to get LBC Mortgage mentioned in answers from ChatGPT, Gemini, Copilot, Perplexity and new AI agents as they launch. Run SEO for our website. Improve rankings for mortgage searches using AI tools to plan content, keywords and page updates. Post in online communities. Share helpful mortgage content on Reddit, Quora and similar forums. Grow reviews. Help satisfied clients leave reviews on Google, Yelp and Trustpilot. Track results. Report weekly on rankings, AI mentions, leads and funded loans you helped bring in. Stay ahead. Test new AI platforms early and recommend where we should be next. Who we're looking for Required Heavy daily user of AI tools (ChatGPT, Claude, Gemini, Perplexity or similar) Clear, natural writing in English Self-starter who learns fast and isn't tied to old ways of doing things Comfortable with social media and online communities Organized and able to track numbers in a spreadsheet Lives in or near the Los Angeles area Nice to have Degree or coursework in marketing, communications, business or related field Any experience with SEO, content, Google Business Profile or website editing Interest in real estate, mortgages or personal finance No SEO experience? Still apply. We care more about curiosity and drive than a resume.

Location: Thailand Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. This is a full-time, remote position open to candidates residing in Thailand. Job Responsibilities: Work with existing partners to improve commercial success; Assist in the process of registering and onboarding hotels to make it producing; Monitor the competitiveness of rates and availability and terms of cooperation; Work with analytical tools to develop data driven sales strategy; Cooperate with marketing, finance and support teams. Assist in running partner events. Seek for collaborations and synergies with the key market players. Requirements Relevant experience. Ideally, 2–5 years of experience in sales, business development, revenue management or e-commerce within travel or hospitality, particularly with hotels, hotel chains, hotel suppliers or OTAs. Market knowledge. Strong understanding of the Thai travel market and the local hotel industry, including its commercial dynamics and business practices. Commercial mindset. Experience driving sales and business development, negotiating commercial terms and identifying opportunities to increase bookings and revenue. Analytical skills. Ability to analyse booking and revenue data, identify gaps in supplier performance and understand how pricing, discounts, cancellation policies, commissions, rate types and other commercial conditions affect results. Technical understanding. Ability to identify technical anomalies and system deviations that affect hotel visibility, booking performance or revenue, and collaborate with relevant teams to resolve them. Ownership & results orientation. Proactive, ambitious and action-oriented, with a strong focus on results and the ability to thrive in a fast-changing environment. Benefits We offer you Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: link

Выбирать стек, библиотеки и веб-фреймворки для Python и JavaScript с учётом требований, ожидаемой нагрузки, потенциального масштабирования проекта и удобства сопровождения. Проектировать frontend и backend: REST API, модели данных, аутентификацию и авторизацию, интеграции.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $310,000 — $360,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $225,000 — $265,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is looking for a Recruiter to support strategic hiring for our organization and contribute to our team’s growth and success. You will drive full cycle recruitment for positions across our GTM and G&A teams. You will effectively partner with leadership and be a strategic talent partner and advisor across the organization. You will leverage your recruiting expertise and deep knowledge of Intercom’s business to design strategy and differentiate Intercom in the market. You will proactively identify opportunities and solutions to improve and iterate on recruiting processes and partner with stakeholders to drive solutions forward. What will I be doing? Partner with Fin's leaders and Hiring Managers to deeply understand their needs. Influences and advises stakeholders on their recruiting approach, strategy, and processes. Create diverse and robust pipelines and attract and convert talent through creative sourcing tactics. Attracts and converts passive talent through effective and authentic storytelling of company strategy and business goals. Leverage data to diagnose challenges in a search, proactively create and execute solutions and influence and advice stakeholders. Provide an excellent candidate experience and serve as a trusted partner. What skills do I need? 4+ years of full cycle GTM/Sales recruiting experience in a high growth tech environment. Expertise and talent market intelligence across business teams (GTM and G&A functions). Creative recruiting approach and capable of attracting and converting talent. Proven track record of partnering with GTM leaders to meet and exceed hiring goals. Data and metrics driven, ability to use data to inform decisions. Strong analytical, conceptual, and problem-solving abilities. Passion for building and managing diverse pipelines. Aligned with Fin's values; growth mindset, highly collaborative, work with a sense of urgency and obsess about customer success. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $117,000 - $140,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is looking for a Recruiter to support strategic hiring for our organization and contribute to our team’s growth and success. You will drive full cycle recruitment for positions across our GTM and G&A teams. You will effectively partner with leadership and be a strategic talent partner and advisor across the organization. You will leverage your recruiting expertise and deep knowledge of Intercom’s business to design strategy and differentiate Intercom in the market. You will proactively identify opportunities and solutions to improve and iterate on recruiting processes and partner with stakeholders to drive solutions forward. What will I be doing? Partner with Fin's leaders and Hiring Managers to deeply understand their needs. Influences and advises stakeholders on their recruiting approach, strategy, and processes. Create diverse and robust pipelines and attract and convert talent through creative sourcing tactics. Attracts and converts passive talent through effective and authentic storytelling of company strategy and business goals. Leverage data to diagnose challenges in a search, proactively create and execute solutions and influence and advice stakeholders. Provide an excellent candidate experience and serve as a trusted partner. What skills do I need? 4+ years of full cycle GTM/Sales recruiting experience in a high growth tech environment. Expertise and talent market intelligence across business teams (GTM and G&A functions). Creative recruiting approach and capable of attracting and converting talent. Proven track record of partnering with GTM leaders to meet and exceed hiring goals. Data and metrics driven, ability to use data to inform decisions. Strong analytical, conceptual, and problem-solving abilities. Passion for building and managing diverse pipelines. Aligned with Fin's values; growth mindset, highly collaborative, work with a sense of urgency and obsess about customer success. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $130,500-$155,900. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: New York; 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. ABOUT GTM ENGINEERING: GTM Engineering is responsible for the data, business logic, workflows, and agents that enable our Marketing and Sales teams to help customers get the most out of Modal. Like the infrastructure beneath the Magic Kingdom https://en.wikipedia.org/wiki/Disney_utilidor_system, much of our work happens behind the scenes. We build systems that anticipate and deliver what customers need to grow on Modal. We bring a product management, growth engineering, and data science approach to GTM, from centralizing our data platform https://deepline.com/blog/gtm-ai-nyc-chris-modal to building agents for account research https://parallel.ai/blog/case-study-modal. THE ROLE: We’re looking for a GTM Engineer to own our GTM data platform. This role combines analytics engineering with revenue operations: you’ll build the org map, people graph, and data systems that help us discover future customers and support our GTM workflows, partnering closely with our Data team on the shared foundation. WHAT YOU’LL WORK ON: - Build and maintain an org map and people graph connecting companies, labs, teams, and individuals to identify researchers, engineers, and early-stage startups, including people beyond our existing users and CRM - Own identity resolution, enrichment, and CRM schemas so affiliations, roles, and relationships stay accurate, current, and traceable to their sources - Build GTM data models in Snowflake and dbt connecting people, companies, workspaces, workloads, usage, and revenue, giving reps and agents a shared foundation for customer context - Partner with RevOps and Marketing to define and implement metrics, data models, and business rules for routing, territory assignments, compensation, pipeline reporting, and attribution - Partner with Data on usage forecasts and account signals; build reproducible reporting that reconciles actuals, forecasts, human adjustments, and credited attainment - Build reverse ETL pipelines for ad audiences, lifecycle campaigns, CRM enrichment, outbound, and event outreach, preserving engagement history and campaign eligibility - Own data quality and system health, from graph coverage and stale enrichment to failed syncs and historical reporting accuracy - Build the tooling that helps GTM Engineering ship reliably, from development environments, automated tests, and deployments to backups and shared AI agents and skills YOU MAY BE A FIT IF: - You’re fluent in SQL and proficient in Python - You already use AI coding tools and agents to build, debug, and automate your work, and help teammates do the same - You’ve built data models and production pipelines with tools like Snowflake, dbt, Modal, or Hex - You have hands-on experience with CRM architecture, integrations, and revenue or marketing operations - You understand how leads, accounts, opportunities, and revenue move through a business - You have high attention to detail and a habit of testing, documenting, and monitoring the systems you build NICE-TO-HAVE: - Experience with usage-based businesses

Location: Remote, US - NY MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, entrepreneurial Enterprise Account Executive to build and close transformative enterprise business in the New York region. You will own a territory and the full sales cycle, from account prioritization and pipeline creation through technical validation, quantified business value, executive alignment, negotiation, and close.MinIO's technical credibility opens doors, and your job is to turn it into predictable growth. What You Will Do Own your territory and the full sales cycle: account prioritization, direct outreach, discovery, technical validation, quantified business value, executive alignment, negotiation, and close. Build new franchise accounts by landing complex enterprise opportunities and creating credible expansion paths across workloads, business units, and regions. You may also inherit  existing accounts with meaningful upsell and cross-sell potential. Lead technical and vision selling across storage, data infrastructure, lakehouse, AI/ML, analytics, and HPC environments, translating architecture into quantified customer outcomes. Control POCs and POVs with clear success criteria, and build business cases that give buyers a reason to act now. Compete against legacy storage vendors, cloud alternatives, direct competitors, and the status quo by shaping decision criteria early. Build champions and executive relationships, and navigate security, procurement, finance, and multi-stakeholder buying committees. Orchestrate Solutions Engineering, product, executive, and partner resources through close and expansion. Keep disciplined account plans, a current CRM, realistic close dates, and forecasts grounded in buyer evidence. A sustained record of enterprise quota attainment and personally led new-logo wins, with 7+ years of direct enterprise quota-carrying experience preferred. Experience closing multiple technical enterprise deals and carrying a $1.5M+ quota (or comparable responsibility). Experience as one of the first one to three sellers building a region, segment, or new-market account focus at an early-stage or category-building company. Technical credibility in storage, object storage/S3, data infrastructure, data lake/lakehouse, AI/ML, analytics, HPC, or adjacent platforms. A repeatable, metrics-based approach to direct outreach, territory building, and pipeline creation including effective partner co-selling. Skill in technical validation, value selling, competitive displacement, executive access, and complex negotiation. Entrepreneurial ownership combined with disciplined forecasting, account planning, and collaboration. Your Skills and Experience Direct object-storage and S3 ecosystem experience. AI/ML, lakehouse, analytics, or HPC workload experience. Co-sell experience with cloud, channel, OEM, or alliance partners. Experience displacing legacy storage or incumbent infrastructure vendors. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: United States Workplace: Remote WHO WE ARE GreenLight.ai http://GreenLight.ai provides global, enterprise-grade workforce infrastructure for enterprise contingent workforce programs and talent platforms. We combine Employer of Record (EOR), Agent of Record (AOR), freelancer management (FMS), and intelligent worker classification with technology that connects directly to our clients’ workforce systems. Trusted by some of the world’s most highly recognized and innovative companies, we help clients engage and manage their extended workforce across the US and internationally. Compliance is central to our service, our technology, and the trust our clients place in us. THE OPPORTUNITY You will lead GreenLight’s legal and compliance function and serve as a hands-on member of our leadership team. Your mandate is to protect the business, support growth, and turn complex workforce regulations into practical decisions, scalable processes, and product capabilities. You will work directly with the CEO and partner with product, engineering, HR, payroll, operations, and commercial teams. You will own legal standards and compliance oversight, support functional leaders in implementing them, and manage our US and international outside counsel. This role combines deep workforce expertise with commercial judgment and the ability to build systems that scale. WHAT YOU WILL DO - Lead workforce compliance. Own our compliance framework for EOR, AOR, and independent contractor engagements, including worker classification, wage and hour, exempt status, and co-employment risk. Establish clear policies, controls, escalation routes, and audit processes. - Strengthen classification. Oversee classification assessments, quality review, reassessment triggers, and decision records. Train relevant teams and develop practical guidance for clients and workers. - Shape the product. Translate regulatory requirements into classification rules, onboarding controls, workflows, and audit trails. Partner with product and engineering on AI-enabled compliance features, including validation, explainability, and human review. - Manage commercial legal work. Draft and negotiate client, vendor, worker, and international partner agreements. Develop templates and negotiation guidance that support efficient contracting and appropriate allocation of risk, liability, and indemnities. - Coordinate global compliance. Work with local counsel and partners to assess country requirements, licensing, and engagement restrictions. Strengthen partner diligence and oversight as our international business grows. - Manage outside counsel. Select and coordinate US and international specialists, set priorities and service expectations, manage legal spend, and turn their advice into clear business decisions and operational actions. - Handle material legal escalations. Advise HR and delivery teams on significant employee relations matters, disputes, claims, and investigations. Coordinate responses with outside counsel and relevant insurers. - Build broader compliance controls. Partner with operations and technology on worker identity, fraud prevention, workforce data privacy, and responsible AI use, drawing on specialist advice where needed. - Make legal knowledge actionable. Monitor regulatory developments and ensure relevant changes reach our policies, platform, and operating processes. Use AI and legal technology to improve research, contracting, and knowledge management, with verification and confidentiality controls. - Represent GreenLight credibly. Support enterprise diligence, client presentations, and selected webinars and industry events. Review external claims and help develop useful, accurate compliance content. WHAT YOU BRING - Relevant legal experience. Typically 8 or more years in employment law, workforce compliance, and related commercial matters, with substantial responsibility for practical business advice. We will consider exceptional candidates with less experience. - Legal qualifications. A JD or equivalent law degree and active membership in good standing with a US state bar. - Workforce expertise. Deep knowledge of US employment law and worker classification, including complex multi-state workforces, and experience coordinating international legal advice. - Commercial and operational judgment. Evidence of negotiating business agreements, implementing compliance processes, and making clear, proportionate recommendations under time pressure. - Technology fluency. Ability to translate legal requirements into product and workflow changes, plus practical experience using AI or legal technology and evaluating its outputs. - Leadership and communication. Ability to manage outside counsel, influence colleagues, and explain complex issues clearly to enterprise clients and hiring managers. Willingness to develop a credible public voice in workforce compliance. - Builder mentality. Identify gaps, recommend solutions, and play an active part in implementing improvements. Experience in staffing, EOR/AOR services, contingent workforce programs, talent marketplaces, or workforce technology is particularly valuable. In-house experience and experience building a legal or compliance function are strong advantages. WHAT SUCCESS LOOKS LIKE In your first year, you will establish a prioritized compliance roadmap, strengthen classification and international partner controls, improve enterprise contracting, and make regulatory updates actionable across our platform and operations. Teams will understand their responsibilities and know when and how to escalate material risks. WHY JOIN GREENLIGHT You will have direct access to the CEO, a meaningful voice in product and business decisions, and the opportunity to shape how leading organizations manage their extended workforce. We offer flexible working arrangements, benefits, and a home office stipend. HOW WE WILL ASSESS CANDIDATES We will focus on demonstrated judgment and results: how you have resolved difficult workforce issues, improved processes, managed counsel, and helped a business move forward responsibly. Our process will include discussion of your experience and a short practical case exercise.

Location: Remote, Germany MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, entrepreneurial Commercial Account Executive to own new and expansion opportunities across commercial and mid-market accounts. You will manage the full sales cycle, from account prioritization and pipeline creation through discovery, technical validation, quantified value, pricing, negotiation, close, and expansion. This is a full-cycle technical selling role, not a high-volume transactional one. You will keep the discipline in discovery, validation, and value that technical buyers expect. What You Will Do Prospect, qualify, and close new business across commercial and mid-market accounts. Build and manage a healthy pipeline using direct outreach and the product, Marketing, BDR, partner, and customer signals available to you. You are accountable for pipeline quality and progression. Lead opportunities from first meeting through technical validation, security and procurement, pricing, negotiation, and close. Communicate MinIO's value to technical and business stakeholders, tying architecture to measurable customer outcomes. Expand and retain assigned customers by identifying new workloads, capacity, use cases, and business units, and hand off cleanly to post-sale teams. Use MEDDPICC or a comparable method, and keep accurate pipeline, forecasts, activity, and next steps in Salesforce. Collaborate with Field Architects, Marketing, Customer Success, Product, and partners to deliver a strong customer experience. Share what you learn in the field to help sharpen MinIO's commercial playbook as we evolve toward a hybrid product-led and sales-driven motion. Your Skills and Experience Three or more years of direct B2B SaaS or infrastructure sales experience with consistent quota achievement. Evidence of sourcing and closing new customers and managing commercial or mid-market sales velocity. Experience leading technical deals in the $50K–$300K+ range. Familiarity with cloud-native technology, data infrastructure, object storage, AI/ML, lakehouse, analytics, HPC, or adjacent platforms. Credibility with VPs of Infrastructure, Engineering leaders, Enterprise Architects, and related technical buyers. A metrics-based approach to pipeline creation, qualification, value selling, forecasting, and negotiation. Experience expanding accounts through cross-sell, upsell, and measurable customer value. Comfort in an early-stage or growth-stage environment and strong cross-functional collaboration. Object-storage, S3, or cloud-native experience. Experience in a hybrid product-led and sales-driven motion. Familiarity with Salesloft, Outreach, or LinkedIn Sales Navigator. MEDDPICC, Force Management, or Challenger training. Partner co-sell experience. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for an Engineering Manager to lead a product engineering team at ClickUp. This is an open team placement role: you'll join a product team based on your strengths and our business priorities, rather than being hired into a single predefined product area. Across teams, the mandate is the same: build a strong team, ship useful product improvements, and take ownership of the quality and reliability of what you deliver.   Engineering Managers at ClickUp are hands-on. You'll lead from the front: reading and reviewing code daily, debugging production issues alongside your team, prototyping when it unblocks a decision, and shipping code yourself when the team needs it. Your technical credibility is how you earn trust, set the bar, and make good calls quickly.   You'll also own people management, delivery, and team execution. Working closely with product, design, and technical leads, you'll turn customer problems into clear priorities and achievable milestones. You'll develop engineers, make trade-offs explicit, and keep work moving without letting quality or maintainability become someone else's problem.   You'll also run an AI-native team. We structure work so AI agents can read it, route it, roll it up, and report on it. Progress and team health should be visible from real signals, with reporting available self-serve rather than dependent on status meetings. We want a manager who has used AI to remove busywork and improve how a team builds, and who can help engineers use it responsibly across planning, implementation, testing, and operations. RESPONSIBILITIES - Lead and develop a product engineering team. Own hiring, onboarding, mentorship, performance, and career growth, and build a team where expectations are clear and feedback is direct. - Own delivery from planning through release and follow-through. Break work into clear milestones, manage dependencies, surface risks early, and make realistic commitments. - Set priorities with product, design, and engineering leadership. Connect engineering work to customer needs and business outcomes, and make deliberate trade-offs between new features, reliability, and technical debt. - Lead from the front technically. Stay close to the codebase: review PRs, dig into production issues, write code and prototypes when it unblocks the team, and know your systems well enough to spot risk before it ships. - Drive architecture and implementation decisions with your technical leads and senior engineers. Bring real depth to design discussions, challenge assumptions with specifics, and make the call when the team is stuck. - Run an AI-native team. Use AI tools and agentic workflows to improve planning, development, testing, triage, and reporting, while maintaining clear ownership and human review where it matters. - Uphold a high engineering bar across design and code review, automated testing, performance, security, and maintainability. Build quality into delivery rather than treating it as a final checkpoint. - Own the operational health of your team's product area. Establish appropriate monitoring, safe rollout practices, incident response, and on-call ownership, and turn production issues into lasting improvements. - Collaborate across product teams and shared platform teams to resolve dependencies and deliver coherent customer experiences. - Keep priorities, progress, risks, and decisions visible. Use evidence to improve team execution and product outcomes, rather than optimizing for activity counts. REQUIREMENTS - 6+ years of professional software engineering experience building production software, including substantial time as a hands-on senior engineer, with 2+ years managing an engineering team. - You still code. You're comfortable working in a modern production codebase (TypeScript, Node.js, React, or similar), reviewing PRs with substance, and debugging across the stack. - A track record of delivering customer-facing SaaS products or services, with ownership extending beyond launch to reliability, maintenance, and customer outcomes. - Experience hiring, coaching, and developing engineers, including giving direct feedback, managing performance, and supporting career growth. - Deep technical judgment. You can lead architecture discussions, evaluate trade-offs from first-hand experience, and hold a high engineering bar because you know what good looks like in the code. - Experience partnering closely with product and design to define priorities, scope work, and deliver against clear milestones. - A demonstrated ability to use AI tools and agentic workflows to improve engineering work and reduce manual coordination, with attention to correctness, security, and review. - Comfort working through ambiguity, learning unfamiliar product areas, and making decisions with incomplete information. - Clear communication and effective cross-functional collaboration. You make ownership, trade-offs, risks, and next steps easy to understand. - Daily fluency with AI tools in your own workflow. PREFERRED QUALIFICATIONS - Recent, meaningful code contributions as a manager: features, fixes, tooling, or prototypes you shipped yourself. - Experience managing engineers across frontend and backend, or leading delivery across multiple technical disciplines. - Experience building and operating software at scale, including performance, reliability, safe migrations, and incident management. - Experience in a fast-moving product organization, balancing customer-facing delivery with platform improvements and technical debt. - Experience introducing AI-native or agent-driven workflows to an engineering team, with measurable improvements in quality or execution. - Experience building collaboration, productivity, or workflow software, or products used by both individual users and enterprise customers. - Experience leading distributed teams across time zones. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.