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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 As the Developer Relations Manager for Claude Platform at Anthropic, you will lead the team responsible for how developers discover, onboard, build, and scale applications using the Claude Platform. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our Platform is used responsibly across a diverse range of implementations. You'll set the vision and strategy for growing and engaging Claude Platform’s developer community. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our APIs are used to create safe, positive outcomes. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating safe AI. Key responsibilities Set the Vision and Drive Strategic Impact Build and execute the strategy for how developers discover and grow their integrations on the Claude Platform Build and execute the strategy for content the team produces to educate developers on building high quality integrations on top of the Claude Platform Collaborate with product and engineering leadership to ensure developer feedback informs the roadmap Prioritize initiatives based on data, feedback, and the needs of both developers and Build and Lead a World-Class Team Pioneer the definition of what world-class developer relations looks like in this quickly evolving field Recruit, inspire and scale a high-impact developer relations team with global reach and representation across key markets Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers Create and implement scalable processes that evolve as both the team and developer ecosystem expand Establish clear growth paths and development opportunities for team members that align personal advancement with delivering exceptional value Drive Alignment and Innovation Through Cross-Functional Leadership Act as an advocate for Claude Platform developer needs at Anthropic, translating developer feedback into strategic initiatives Collaborate with Research to translate AI capabilities into accessible educational resources Partner with Communications and Marketing teams to amplify developer success stories Ensure best practices for responsible AI use are adopted by developers building on the Claude Platform Minimum qualifications You have experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems You're technically credible. You understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives You have hands-on technical abilities. You’re capable of creating your own code demos, critically reviewing developer content for quality and best practices, and providing specific technical feedback that elevates the work of your team You have insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations You're a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels You have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Preferred qualifications Experience working specifically with AI developer platforms Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) 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: $290,000 — $435,000 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: 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. 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: 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: Portugal; Albania; Georgia; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Armenia; Italy; Spain; Malta; Romania; Ireland; South Africa; Croatia; Serbia; Montenegro Workplace: Remote ABOUT BLOCK LABS Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. THE ROLE We are building the frontend of a multi-brand consumer platform in React, Next.js and TypeScript: one codebase serving several brands, where launching a brand should be a matter of configuration, not a copy. You will be the most senior frontend engineer in the company and the person the platform’s UI depends on. We don’t hire into squads. We work as a small number of very strong individual contributors, each owning a product end to end and shipping with AI agents at a pace that used to take a team. You get an outcome and constraints, not a backlog: you find the decisions nobody has made, scope the work, build it, ship it and stay accountable for how it behaves in production. Product ideas often arrive as working prototypes built with AI tools by people outside engineering. Your job is to steer them into production, not to reject them or rebuild them from zero. KEY RESPONSIBILITIES: - Own the frontend end to end: architecture, conventions, quality bar and production behaviour of a multi-brand platform, with no spec handed to you. - Make adding a brand a configuration change: theming, brand-aware routing and content, and clean boundaries between shared and brand-specific code, all on a live product. - Build and own the design system and component library that engineers, designers and AI-assisted prototyping all draw from. - Turn product prototypes into production features fast, and build the workflow and tooling that make this repeatable. - Ship with AI coding agents every day as your main way of working, with the checks that keep quality high at agent speed, and raise the bar for how others use them. - Ship consumer-facing UI with real attention to detail, performance and accessibility. - Take UX and product concerns straight to the people who own the product, with alternatives and working examples, not just objections. ABOUT YOU: - 8+ years building production consumer-facing web applications, several of them at Staff or equivalent ownership. - You have taken a frontend from a rough brief to production and owned it, and you can say exactly what was yours, what was your team’s and what was your agents’. - AI coding agents are how you build, not a helper. You have your own setup and can say precisely where agents make you faster, where they produce plausible but wrong output, and how you catch it. - Deep expertise in React, Next.js and modern TypeScript, with clear opinions on rendering strategies and when each is the wrong choice. - Hands-on experience building or re-architecting multi-brand, multi-tenant or white-label frontends. - You have built or owned a design system and can discuss consistency versus flexibility, adoption and governance. - Strong UI and UX sensibility: you notice the small things and fix them without being asked. - Comfortable working with non-engineers who build with AI tools, and you design for their output to be usable. - Demonstrable Core Web Vitals work in production. - You thrive with autonomy and light process, and you write clearly. Strong command of written and verbal English. NICE TO HAVE - Experience with real-time, high-interaction consumer interfaces where latency and feel matter. - Background in fintech, crypto, real-time gaming and entertainment platforms, or other high-traffic consumer products. - Tooling, skills or integrations you built so agents work better inside a specific codebase or design system. - Working knowledge of CI/CD and cloud environments. WHAT THIS ROLE IS NOT - Not a management or lead role. Influence comes from what you ship. - Not a pure architecture role. You write production code every day. - Not for someone who wants a team, a backlog or a complete spec before starting. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.

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: Cape Town, South Africa Step into the role of a Property Management Associate, where you’ll become the beacon of exceptional service for Houst Customers and guests. In this dynamic position, you’ll navigate customer inquiries across various channels - email, phone, and chat- tackling intricate, non-standard issues with ingenuity. Your toolbox will include out of the box-thinking, troubleshooting prowess, excellent communication skills and logical thinking. Key responsibilities of the role: Provide unparalleled service via telephone, email and WhatsApp, ensuring our clients and guests feel valued and supported. Elevate as the point of escalation from HostSupport, resolving issues with the utmost satisfaction. Onboard new properties, simplifying complex information for diverse customers. Collaborate with cross-functional teams to uncover optimal solutions, resolve queries and champion resolution claims. Spot and leverage opportunities to enhance customer retention and satisfaction. Harness your decision-making prowess to determine refunds and goodwill gestures using logic, company procedures, and market insights. Contribute innovative ideas to enhance processes and elevate the overall experience for Houst customers and guests. Champion the customer cause, forging commercially successful partnerships. Manage your delegated inbox with finesse and oversee the project management of cases, ensuring a seamless and efficient workflow. Requirements Based in Cape Town, and comfortable working from the office 2 days a week Team player with superb written and verbal communication skills. Previous experience in a customer service environment or account management is preferable. Proven ability to communicate complex technical problems in “customer-friendly” language. Ability to think outside the box and find creative ways to solve problems. A working understanding of vacation rentals. Confidence in decision-making and owning your cases. Previous experience with G-Suite. Well organised with the ability to multi-task and prioritise workload. Benefits 23 days paid holiday days (plus public holidays) An extra day off for your birthday - because who wants to work on their birthday? Pawternity - We encourage proud parents of new pets to work from home to help their new member settle in Laptop - for business use Working hours: 09:00- 18:00 (UK Hours) Salary: R12,000- R16,000 per month (dependent on experience)

Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. About the role: We are looking for a customer support specialist with English language, strong communication skills and excellent organizational skills. You must be a team player who can handle sensitive situations with confidence. We offer a unique chance to grow in an international team and enjoy the benefits of working in a global company. If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace. You will be doing: Answer to incoming requests from customers via live chat Identify customer needs and help customers use specific features Analyze and reporting product malfunctions Follow up with customers to ensure their basic technical and product related issues are resolved Gather customer feedback and share with our Product, Sales and Marketing teams Your expertise to meet the requirement: You should be proficient in English and Spanish languages You must have work experience in support You must have excellent communication skills You should have strong teamwork skills You should have excellent PC skills You must have high attention to details You should have multi-tasking abilities You must be flexible to work in different shift schedules (day & evening & night) and on weekends We appreciate: Ability to quickly and efficiently solve tasks Independence, responsibility, initiative, and keep attention to detail A flexible and systematic approach to solving complex problems Experience in sports betting/gambling industry is a plus We offer: Fully remote job - work from anywhere you want Competitive compensation 28 paid days off per year Seniority leave Real career opportunities and professional growth The great team across the world Hiring Stages: Online Assessment Introductory Call Hiring Manager Round Candidate Reference Check Offer Letter

Location: Athens, Greece; Thessaloniki, Greece About the Role We are seeking an AI/ML Engineer - python developer to join our software development team. You will work on challenging international projects, using cutting-edge technology to deliver ML and AI solutions for major international public organizations. The role offers rapid career growth and real exposure to high-impact, large-scale work. What You Will Do Implement advanced ML solutions and model deployment strategies (MLOps); Build advanced Generative AI components and pipelines, including RAG architectures, orchestration layers and evaluation frameworks; Contribute to AI governance, observability, monitoring and responsible AI practices; Contribute to the design and documentation AI solutions; Contribute to python implementation tasks and implementation of micro-services using frameworks such as FastAPI, Flask, Pydantic. etc. Requirements A university degree in IT or a related field; Very good knowledge of python, pandas, numpy, scipy, matplotlib, seaborn; Good knowledge of  FastAPI, Flask, Pydantic, SQL Alchemy; Hands-on experience in use and integration with leading LLMs and SLMs; Familiarity with AI frameworks such as LangChain, LangGraph, Haystack; Familiarity with major ML frameworks such as PyTorch and TensorFlow, and with model formats such as ONNX; Excellent command of English, written and spoken. Nice to Have Experience designing and implementing AI/NLP pipelines (AI Ops / NLP Ops); Familiarity with AWS SageMaker and / or  Azure Machine Learning platform; Familiarity with cloud platforms such as AWS or Azure; Familiarity with Big Data systems such as Spark (PySpark) and/or Databricks. Benefits We believe in rewarding talent and dedication. Here's what you can expect as part of our team: Competitive full-time salary; Private Health Coverage on the Company’s group program; Flexible Working Hours; Top-of-the-Line Tools; Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities; Career Growth: Work with some of the most innovative and exciting specialists in the industry; Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth. If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: ( JA/ME-PD/11/26 ). You may also consider all our other open vacancies by visiting the career section of our website ( www.eurodyn.com ) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS (ED) ( www.eurodyn.com ) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at www.eurodyn.com/privacy . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.

Location: Toronto; Ottawa; Montreal 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! WHY THIS ROLE? The Cohere Dashboard is the control center for Cohere users and the starting point for many on their journey with Cohere. Here, they can access our models, manage API keys, manage teams, audit billing and explore our docs. In this role, you'll collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere Dashboard offers. Join our team of builders who are shaping the future of large language models! AS A FULL-STACK SOFTWARE ENGINEER ON THE COHERE DASHBOARD TEAM, YOU WILL: - Work with a small talented and enthusiastic team of software engineers - Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers - Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks - Identify and remove roadblocks to enable your team to increase its engineering velocity - Build resilient systems that are mission-critical - Keep up with the cutting edge and adopt new technologies to improve performance and reliability YOU MAY BE A GOOD FIT IF: - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python - You have hands-on experience with complex SQL queries - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You’re excited to add new technologies to your toolbox and use them where it makes sense - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company 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: Los Angeles, USA The Insights discipline helps empower Rioters' decision-making to be more data-informed and put player experience at the forefront. We're an interdisciplinary group of scientists, consultants, and strategists from all sorts of backgrounds who join together to represent and advocate for players around the world. We believe that illuminating the globally diverse experiences, behaviors, and needs of players is critical to Riot living up to our player-focused mission. We're a group united by our love of games, science, and helping others succeed. As a Principal Insights Analyst on League of Legends , you’ll join the League Insights team – a group of researchers, analysts, ML engineers and data engineers, responsible for solving complex problems and enabling Rioters to make difficult decisions with confidence. You’ll tackle some of the most complex and ambiguous problems facing League and advise senior leaders on key product and business decisions. This role will have a particular focus on game economy and monetization systems, while also helping evolve how our team conducts analytics work in an increasingly AI-enabled environment. You’ll combine strong product judgment, advanced analytics, and technical expertise to solve difficult problems, build scalable analytical workflows, and mentor analysts across the team. Responsibilities: Own and lead some of League’s most complex Insights problem spaces, identifying and prioritizing the right questions, navigating ambiguity, and driving work from problem framing through strategic recommendation. Develop deep analytical perspectives on League’s economy to inform monetization strategy, across questions such as content strategy, spender lifecycle and segmentation, purchasing behavior, product incrementality and cannibalization, and long-term monetization health. Apply advanced analytical methods to uncover the drivers of player behavior and product performance, identify opportunities and risks, and deepen understanding of complex product questions. Develop reusable AI-enabled and agentic analytics workflows, tooling, and reporting approaches that improve the speed, consistency, and reliability of analysis. Help evolve the League Insights analytics ecosystem and standards for an AI-enabled future, including new approaches to interactive reporting, self-service analytics, and AI-assisted analysis. Partner closely with data engineers to align evolving data foundations with downstream analytical workflows, reporting needs, and AI-enabled use cases. Shape product and business decisions through data-driven recommendations and trusted partnership with product teams and League leadership. Serve as a craft leader across Insights, setting quality standards, mentoring senior practitioners, and advancing analytical capabilities across the discipline. Required Qualifications: BA/BS in Statistics, Data Science, Computer Science, Economics, Applied Mathematics, or a related field 9+ years of experience in analytics, data science, business intelligence, consulting, or related roles involving complex quantitative analysis Demonstrated ability to own and solve highly complex, ambiguous product or business problems, translating analytical work into strategic recommendations Strong proficiency with SQL and Python, with experience building analytical pipelines and data models in modern data environments such as Databricks and DBT Hands-on experience developing AI-enabled or agentic analytics workflows, with demonstrated impact on how analysis, reporting, or self-service analytics are performed Deep expertise in analytical methods, with the ability to select and apply advanced approaches to understand complex player, product, and business questions Strong product and business judgment, with experience using analytics to inform product, monetization, or other strategic decisions Proven ability to lead complex cross-functional work, influence senior stakeholders, and elevate analytics craft through mentorship, standards, or technical leadership Desired Qualifications: Advanced degree in Economics, Statistics, Data Science, Computer Science, or a related field Experience analyzing game economies or monetization ecosystems Experience working on live-service games or other complex digital products with interconnected engagement and monetization systems Experience developing and scaling AI-enabled or agentic analytics workflows and self-service analytics beyond traditional BI tools, including reusable applications, tooling, standards, or team practices Experience applying modern software development practices to analytics workflows, such as version control, code review, testing, and modular development Strong familiarity with League of Legends as a player For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

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: San Francisco 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 We are looking for a Technical Program Manager to lead Harvey's highest-priority company programs across the organization and technology stack. You will partner with engineering, product, and business leaders to turn ambiguous problems into clear plans and drive execution from scoping through launch and measurable impact. Your portfolio will evolve with company priorities, spanning areas such as AI infrastructure, developer productivity, and customer-facing products. You will go deep technically, align teams on tradeoffs and dependencies, and bring the right people together to deliver outcomes that no single team can achieve alone. WHAT YOU'LL DO - Own end-to-end execution of critical company programs, working with engineering, product, and business leaders to define outcomes, scope, owners, milestones, and success metrics. Focus your efforts where they can have the greatest impact as company priorities evolve. - Lead programs across technical domains. Examples could include AI infrastructure: coordinating capacity planning with engineering, finance, and model providers; driving model failover readiness; and enabling model experiments that evaluate quality, latency, reliability, and cost. - Drive developer productivity programs, such as evaluating and scaling AI coding agent usage, improving test coverage and reliability, and reducing CI/CD bottlenecks. Measure their impact on engineering velocity, software quality, and release safety. - Drive product-facing programs, such as launching new AI-powered workflows, coordinating capabilities that span multiple product teams, or improving end-to-end product performance and reliability. Align engineering, product, design, and go-to-market partners on launch readiness and customer outcomes. - Surface risks and systemic gaps early, resolve ownership gaps, and sequence dependencies across teams. Partner with senior engineers and engineering managers to evaluate technical tradeoffs and unblock decisions. - Build a lightweight operating cadence that makes progress, risks, and decisions clear to teams and leadership. Define and track program-specific metrics, and follow through after launch to ensure sustained impact. - Create alignment across functions and levels of the organization, translating complex technical issues into clear decisions and escalating when priorities, resources, or dependencies put outcomes at risk. WHAT YOU HAVE - 7+ years of experience in technical program management, with a track record of delivering large, ambiguous programs across multiple teams and technical domains. - Strong technical judgment and the ability to ramp quickly across unfamiliar parts of the stack, from infrastructure and AI systems to developer tooling and customer-facing applications. You can read system designs critically, ask substantive questions, and help teams reason through tradeoffs. - Demonstrated ability to lead and influence engineering stakeholders — senior ICs, EMs, and execs — without direct authority. - Excellent written and verbal communication, with a particular ability to distill complex technical tradeoffs into crisp narratives for both technical and cross-functional audiences. - A track record of building durable mechanisms (review forums, metrics, operating cadences) that outlive any individual program. - Comfort with ambiguity. You're energized by problems that aren't yet well-defined and where the first step is to scope the problem itself. - Bachelor's degree in Computer Science, Engineering, or related technical field. BONUS POINTS - Hands-on experience in software engineering, AI/ML infrastructure, developer platforms, SRE, or technical product delivery. - Experience with AI model capacity planning, provider integrations, model evaluation and experimentation, or reliability and failover programs. - Experience evaluating and scaling AI coding agents or other developer tools, or leading improvements in testing, CI/CD, and release safety, with measurable impact. - Experience delivering customer-facing products or major launches that require coordination across engineering, product, design, and go-to-market teams. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-AN2 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: 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 Little more about the team: Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance. What you'll do Own delivery of Honeycomb Private Cloud — the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment. Grow the product — we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it. Work at the customer boundary — partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like. Lead across the org — Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org. Feedback loops for developers. We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better. Build the team — grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales. What we're looking for 3+ years as an Engineering manager for a highly technical, senior team. You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them. You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement. Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap. Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform. Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations. Ruthless prioritization on a small team with an enormous surface area — you can name what you decided not to do, and why. Hiring and onboarding engineers into a domain with a steep ramp. Comfort with AI tooling, and a point of view on where it helps and where it doesn't. Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team Bonus points Familiarity with observability / OpenTelemetry (Honeycomb's domain). You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here). Background in Go, Terraform, Kafka, and large-scale data infrastructure. FedRAMP, GovCloud, or regulated-industry compliance experience. A field-adjacent past — solutions architecture, consulting, or deployment engineering. Base Salary based on level of experience $285,000 — $320,000 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: 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 $130,500 - $163,800. 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: 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 Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance. What you'll do Own delivery of Honeycomb Private Cloud — the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment. Grow the product — we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it. Work at the customer boundary — partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like. Lead across the org — Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org. Feedback loops for developers. We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better. Build the team — grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales. What we're looking for 3+ years as an Engineering manager for a highly technical, senior team. You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them. You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement. Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap. Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform. Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations. Ruthless prioritization on a small team with an enormous surface area — you can name what you decided not to do, and why. Hiring and onboarding engineers into a domain with a steep ramp. Comfort with AI tooling, and a point of view on where it helps and where it doesn't. Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team Bonus points Familiarity with observability / OpenTelemetry (Honeycomb's domain). You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here). Background in Go, Terraform, Kafka, and large-scale data infrastructure. FedRAMP, GovCloud, or regulated-industry compliance experience. A field-adjacent past — solutions architecture, consulting, or deployment engineering. Base Salary based on level of experience $208,260 — $234,000 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: San Francisco, CA | New York City, NY | Washington, DC 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 Anthropic believes AI capabilities are improving rapidly, and that AI safety policy needs to keep pace. Our Policy Development team translates technical insights into workable new policy ideas for governing frontier AI. As a member of the Policy Development team, you will drive our work on technical and cross-lab safety practices, deepen our work on frontier AI legislation, and develop new technical governance ideas that you pressure-test with researchers and carry into policy proposals. You will work closely with policy colleagues and with research, alignment, safety, and legal teams, and you’ll move easily between technical detail and how policy actually gets made. Key responsibilities Help develop technical safety best practices and standards for frontier development, working closely with policy, research, and safeguards teams Support cross-lab discussions and initiatives and serve as the Anthropic representative in key standards initiatives and groups Review and give substantive input on federal, state, and global frontier AI safety bills, including on risk reporting, independent evaluation, and incident reporting, helping shape AI safety legislation development Work with our external affairs policy teams to strengthen our frontier AI legislative framework Contribute research and analysis across the policy team’s pacing workstreams, including developing novel policy proposals that address challenges related to the acceleration of AI R&D Engage with the external AI safety and governance community to track new thinking and feed it into our own Write clear memos and briefings that help leadership align on decisions Minimum qualifications Are fluent in frontier AI safety and technical AI governance: the main players, proposals, and debates Can read legislative text and comment usefully on it Have expertise in any of the following domains: loss-of-control, alignment, compute governance, independent evaluation, model weight security, risk reporting Write clearly for researchers, leadership, and policymakers Can pick up new technical topics quickly and translate them to the broader policy landscape Are comfortable with ambiguity and can own a project end to end Preferred qualifications Are excited about standards work, and also want to contribute across the wider technical governance agenda Have direct experience in an AI governance or safety research organization or frontier lab Have experience working closely with standards bodies or industry consortia Have experience developing and shaping technical legislation Have published novel policy thinking on AI governance 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: $265,000 — $295,000 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.