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Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Senior Product Manager to own institutional partner products such as Custody, Brokerage, and Fees & Incentive Programs (including MM/MT structures, VIP tiering, and rebate frameworks). Final scope will weigh your background, but the mandate is consistent: build institutional-grade products that compete on infrastructure, economic design, and reliability — and translate that into measurable growth in client adoption, trading volume, and revenue. You will partner with engineering, operations, sales, compliance, and external service providers to ship complex changes that institutional counterparties trust and rely on. What You’ll Be Doing Clearly define product direction and roadmaps for Custody OES, drive its evolution and turn client and partner requirements into shipped features. Grow the client and partner base. Optimize operations through self-service portals and process automation. Own the fee schedule and incentive programs (MM/MT, VIP tiers, rebates), balancing market dynamics, competitor moves, and institutional needs against company strategy, revenue, and competitive position. Build and continuously evolve AI agents for competitor intel, liquidity analysis, fee and rebate simulation, and program operations. Own the commercial logic of your product lines. Build ROI-grounded business cases for product and partnership investments; quantify revenue and AUM impact to drive prioritisation; Articulate strategy, progress, and trade-offs to internal leadership and external institutional clients. Partner cross-functionally with engineering, design, compliance, and legal to ship complex changes. Navigate multi-jurisdictional regulatory constraints (HK, SG, EU, US) and balance trade-offs between speed, scalability, and compliance. What We Look For In You PM experience at a crypto exchange on Custody OES, or at a custody, or background from traditional finance on Collateral / Tri-party / CCP solutions. Deep market knowledge and an end-to-end grasp of how counterparties, custody, execution, and settlement connect. Solid understanding of liquidity dynamics and how institutional crypto markets actually work. Prior hands-on experience managing fee schedules or designing incentive programs (MM/MT, VIP tiers, rebates) is a strong plus. Proven experience of leading strategic business reviews, facilitating on-site requirement discovery, and converting client feedback into prioritized product initiatives. Strong track record of partnering with Sales, BD, and Relationship Management teams in a B2B institutional setting. Proven ability to bring structure and clarity to complex problems, align senior stakeholders across functions, and drive decisions and execution. Able to communicate complex strategies and trade-offs with clarity and influence, producing high-quality strategy documents, product plans, roadmaps, and executive-level presentations. Demonstrated effectiveness leading and influencing globally distributed teams across time zones and diverse cultural contexts. Hands-on experience leveraging AI tools for market research and product operations. Building automated workflows, using AI for data analysis, or prototyping AI-powered features. Candidates with more experience will be considered as Product Director (P7-1). Experience building a zero-to-one product is a strong plus. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity OKX is going all-in on AI-native localisation. The field has long been stuck on one trade-off: you can have translation quality, or you can have scale, but not both. And the real question was never "is this translation accurate?" — it's "can the user actually understand it and get through the flow?" Web3 is the hardest place to solve this. The vocabulary reinvents itself constantly, with new tech jargon, protocol names and memes appearing every week. It sits next to dense, high-stakes trading terminology, where a single mistranslated word can mislead a user or move money. And every market has its own fast-moving regulations, so the "right" translation is a moving target that must stay compliant across jurisdictions in real time. If you want a localisation problem that is genuinely unsolved — high ambiguity, high stakes, high velocity — this is it. We're going to break the trade-off with agents. You will own the 0-1 build and launch of two things: A frontier agentic translation system that localises every market (20+ languages) with a human-in-the-loop mechanism. A self-improving agentic QA product that autonomously evaluates translation and end-to-end localisation quality, flags its own failures, and closes the loop. This is a build-the-frontier role, not a manage-the-vendor role. This role does not require a linguistics or translation background, multilingual ability, or algorithm engineering skills. We're looking for a PM leader who can build a frontier agentic translation and QA system from 0 to 1 — and make the whole organisation share responsibility for localisation quality. What You’ll Be Doing You will lead a squad of product managers and developers, and work hand-in-hand with language managers, to ship the translation and QA systems into production. You set the product direction and quality bar; your PMs and engineers build the agents, harness and evals; and the language managers ground the system in what "good" actually means in each market. Your job is to make these three groups operate as one team — and to make localisation quality something the whole organisation owns, not just the language team. Own the agentic translation system Architect and ship it end to end, from 0 to 1, across all markets and 20+ languages — where models carry the work and humans set the standard and make the final call. Break the cost curve: hold quality flat while coverage scales across languages, content and release velocity, so cost stops growing linearly with the business. Make the system interoperate cleanly with OKX's existing localisation stack and content pipelines, rather than living as an island. Build the agentic QA and quality automation Stand up an autonomous QA agent that evaluates translation and localisation quality at scale — catching regressions before release, monitoring in production, and self-verifying every fix, using LLM-as-a-judge and eval harnesses rather than manual review. Evaluate not just accuracy and fluency but cultural fit, bias and safety — especially on regulated and financial content, where a wrong or non-compliant phrasing is a real risk. Make quality measurable: define and drive a hard quality signal — human-acceptance rate, or the edit effort needed to reach shippable quality (e.g. Translation Time-to-Edit) — so quality is a metric the system optimises against, not a subjective call. And protect the funnel: conversion on key user journeys should never be adversely affected by language or localisation issues. Make it self-improving Drive a sustained reduction in severe and recurring production issues — every escape becomes a new guardrail, and the system gets smarter with every release. What We Look For In You PM leader who has taken a frontier agentic product from 0 to 1, beyond translation. Proven ability to ship genuinely novel products at the edge of LLM capabilities—and repeat that success here. Accountable for business outcomes and measured on business metrics, not delivery volume. Deep hands-on experience building large-scale, frontier-LLM agentic systems from 0 to 1. Experience with harness/orchestration layers, multi-agent workflows, and LLM-as-a-judge or automated evaluation pipelines. Has built quality systems, automated evaluations, or release gates that enable confident autonomous-system launches. International product experience serving users across multiple languages and regions. Nice to Haves Built an agentic system from scratch Shipped agentic / LLM applications in production Finance, payments or another highly regulated industry. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-WWW #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

DomainTools is looking for a Principal Product Manager to join its Product team. This role is responsible for growing and refining data products that drive threat intelligence solutions, with API-first delivery and integration into UI, AI, and third-party experiences and workflows. It is a strategic role with high impact and visibility inside and outside the company. The ideal candidate is a strong leader and successful product manager with a track record of delivering market-leading data products, based on insights from direct customer interaction and big-data analysis. The product manager is expected to contribute solid knowledge of business constraints and prioritize opportunities, deep knowledge of users and customers, and understanding of platforms customers use to engage with products. They must track industry trends and competitive landscape relevant to their products. The product manager collaborates closely with engineering, marketing, sales, and solutions engineering teams to deliver world-class solutions. This is an individual contributor role requiring influence through data and logic. Basic Qualifications: — Minimum 7 years in cybersecurity or data-related product management, delivering data-driven analytics and products — Deep knowledge of business and customers, understanding data product usage and value — Experience with threat intelligence products, threat feeds, APIs, and related technologies — Experience interacting with customers using data warehousing, data science, and Big Data technologies — Experience integrating data products into third-party environments (customer and partner ecosystems) — Experience working with Agile (kanban/scrum) development teams and processes — Excellent people skills working cross-functionally from ideation to market — Excellent writing, communication, and presentation skills — US-based with willingness to accommodate core hours overlapping 9am-3pm US Pacific time Preferred Qualifications: — Experience in cybersecurity investigations, threat defense, incident response, or related activities — Solid understanding of cybersecurity market and modern security architectures — Familiarity with cybersecurity data domains including DNS, IP, TLS/SSL certificates, web crawl, BGP, NetFlow data — Experience with real-time data collection, processing, and delivery — Experience with large language models (LLMs) and agentic workflows — Experience with data products leveraging predictive analytics / machine learning (ML) — Experience with distributed systems and cloud computing

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is seeking a Senior Commercial Counsel to join our dedicated, collaborative, and fast-growing legal team. This role will serve as a strategic legal partner to the business, with primary responsibility for leading high-impact, revenue-generating transactions and supporting the Grafana Labs sales organization in structuring, negotiating, and closing complex enterprise on-premises and SaaS commercial agreements. This role will also support broader legal matters, including reviewing and negotiating vendor and marketing agreements, advising on and supporting channel programs, contributing to privacy initiatives, maintaining commercial legal form agreements, and partnering on other cross-functional matters. The successful candidate will be a creative and analytical thinker who is highly detail-oriented and embraces a business-oriented approach. They will have the ability to think strategically and build trusted advisor relationships with internal stakeholders. The ideal candidate brings significant experience leading negotiations of complex, high-value commercial agreements with Fortune 500 and other sophisticated enterprise customers, often on customer paper and within highly regulated industries such as healthcare and financial services. This individual is an exceptional drafter and strategic negotiator with strong business judgment, able to quickly distinguish between material legal risk and negotiable terms. They take a pragmatic, solutions-oriented approach that balances legal protection with commercial objectives, ensuring negotiations remain constructive and deals continue progressing toward closure. The candidate should have a proven track record as a trusted partner to sales, with demonstrated success managing sophisticated counterparties, navigating complex issues, and driving critical revenue-generating transactions through to timely and successful execution. What You’ll Be Doing: Lead strategy, negotiation, and execution of complex, high-value enterprise B2B agreements, including SaaS and on-premises licenses, data processing agreements (GDPR, CCPA), business associate agreements (HIPAA), information security agreements, professional services agreements, channel partner agreements, and other commercial and technology-related contracts. Serve as a strategic partner to sales leadership on deal structuring, risk assessment, and negotiation strategy to accelerate revenue while protecting the business. Partner with cross-functional teams (e.g., finance, security, support, product) to resolve complex commercial and operational issues and support new go-to-market models, pricing structures, and programs. Develop and improve form agreements and negotiation playbooks to drive consistency and scalability. Contribute to the development of workflows and processes that enable the legal team to scale effectively, including contract negotiation, execution, and tracking of contractual obligations. Support global expansion efforts, including go-to-market initiatives, privacy-by-design, and security-by-design programs. Create and deliver training to business teams on legal best practices, effective engagement with legal, and relevant legal and regulatory developments. What Makes You a Great Fit: JD or equivalent U.S. law degree and active bar membership in good standing in at least one U.S. jurisdiction. 8+ years of technology-related commercial legal experience (preferably in the SaaS industry). Demonstrated experience leading complex, high-value enterprise negotiations independently, including with Fortune 500 customers and on customer paper. Strong commercial acumen, with the ability to balance legal risk with business objectives in a fast-paced, high-growth environment. Proven ability to partner effectively with senior stakeholders, including sales leadership and executives. Significant experience with data protection and privacy laws (e.g., GDPR, CCPA), as well as security and compliance frameworks. Excellent drafting, negotiation, and communication skills. Ability to operate independently, manage a high-volume and high-impact workload, and prioritize effectively. Bonus Points For: Familiarity with open-source licensing. Recognition and awards from sales teams for outstanding partnership and support. Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $ 230,000 - $275 ,000 Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote - United States 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 AI Gateway gives developers one place to connect applications and agents to hundreds of models with one API key. It handles provider routing and fallbacks, unifies billing and observability, and lets teams manage spend and security controls across production AI workloads. Designing this well is a systems problem. A developer should be able to choose the right model, make and verify a first request, diagnose a failed request, and configure routing, budgets, credentials, and security controls without losing sight of the application they are trying to build. The right interface might be in the dashboard, on the public model catalog, in the CLI, in an API response, or in code. You will be the Design Engineer for AI Gateway, owning product design and frontend implementation across those surfaces. You will work with customers, a Product Manager, and engineers to understand the problem, explore solutions, build the production experience, ship it, and learn from what happens after launch. AI Gateway is live, the model ecosystem changes every week, and the team can move from an observed problem to production quickly. This is a rare chance to use your product judgment, design craft, and code to shape a developer product and ship the experience yourself. You will be the design owner embedded with a Product Manager and a dedicated engineering team. You will also have the Product Design team around you for critique, collaboration, and support. AI Gateway will be your main product area, with room to pursue design-led improvements across Vercel. You will report to the Design Team. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own product design and frontend implementation for meaningful parts of the journey from discovering a model to making a first successful request and operating AI in production. Design and build production experiences across the website, dashboard, CLI, and APIs, choosing the right medium for each problem. Make models, providers, credentials, routing, budgets, logs, performance, privacy, and governance understandable, then create patterns that extend across new providers, modalities, and workloads. Talk directly with customers and use product data to understand problems, define success, make tradeoffs, and improve what ships. Own quality after launch, including visual and interaction craft, accessibility, performance, resilience, instrumentation, and edge cases. Use coding agents to explore and implement ideas quickly, while testing, debugging, and taking responsibility for what ships. What you need Your work shows what you personally identified, designed, built, shipped, and learned after launch. You build production-quality web applications with React and TypeScript and can contribute confidently in a large, existing codebase. You bring strong visual and interaction craft and have made technical or data-rich products understandable without removing the control advanced users need. You can move between graphical interfaces, CLI workflows, API behavior, and implementation details, treating accessibility, performance, failure recovery, and instrumentation as part of the design. You use customer research and product data to make decisions, communicate your reasoning clearly, challenge ideas constructively, and change direction when the evidence changes. You use coding agents in your daily work, but you can explain, test, debug, and take responsibility for the code they help produce. There is no required path into this role. You may come from product design, frontend engineering, creative development, or a career that does not fit a standard title. We care about the quality of what you have shipped and the judgment behind it. Bonus if you Have experience with developer tools, infrastructure products, model marketplaces, or observability experiences. Have worked with AI models, providers, inference platforms, guardrails, or AI application tooling. Have experience with APIs, command-line tools, structured product content, or agent-facing interfaces. Have built an application or agent with Vercel’s AI SDK or AI Gateway. See the work AI Gateway AI Gateway documentation Browse AI models AI model leaderboards Design Engineering at Vercel Compensation & Benefits: 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 San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee 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: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Developer Educator to help us create best-in-class video, written, and hands-on education content for Webflow customers, and those who want to define the next phases of the web. You’ll present on camera as a developer educator, and,  to keep your skills fresh, you’ll build production grade sites using Webflow that we use in our education videos and courses. You’ll also keep your skills fresh by learning how to integrate Webflow with other services and technologies and then develop content demonstrating how. ABOUT THE ROLE: - Location: San Francisco HQ or Remote (United States) - Travel required to SF - 1 week per month - Full-time - Permanent - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $129,000 - $155,000 - Zone B: $121,500 - $146,000 - Zone C: $113,000 - $136,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.  Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Director, Education Video  As a Senior Developer Educator you’ll …  - Build the reference websites that anchor Webflow University courses, tutorials, and live training — real, production-quality sites and components that hold up to scrutiny from developers and designers, not just demos that survive a screen recording (see examples in our videos at Webflow University https://university.webflow.com/videos) - Shape technical curriculum in partnership with instructional designers and video producers, scoping what each lesson needs to demonstrate and why, before anything gets built or shot - Present technical content on camera for tutorials, course lessons, and live sessions — walking through code and craft with the clarity of someone who actually built the thing - Work alongside video producers and instructional designers through pre-production, shooting, and review, so what's on screen empowers learners to do the thing - Serve as the education team's technical subject matter expert, reviewing content for accuracy and pressure-testing it against how people really work and build - Keep the technical library current as the platform ships, deciding what's gone stale, what needs rebuilding, and what's newly worth teaching - Partner with product and engineering to understand what's coming, so education is ready when it launches rather than catching up after ABOUT YOU: Requirements: - 4+  years of experience in technical education and web development and/or design - Proficient in HTML, CSS, and JavaScript, with the ability to write, review, and explain code - leveraging AI tools to accelerate development and refine quality. - Demonstrated experience teaching technical concepts to a mixed audience through video, documentation, courses, workshops, or community work - Willingness and ability to present on camera - from an outline or word-for-word script, in studio or from your own home setup You’ll thrive as a Senior Technical Educator if you: - Build things because you need to understand them, not just to ship them - Can address multiple audiences — the visual developer who's never opened a code editor, the engineer evaluating how Webflow can help them build better, and the marketer who’s been handed off components and templates to build with - Take feedback on your on-camera work as craft input rather than personal critique - Enjoy collaborating with technical and less technical education teammates alike, recognizing the unique role each person plays in the success of a project - Are passionate about learning, education, and helping others succeed - Are equally confident showing the messy middle of a build or the polished result - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Poland Workplace: Remote Coder is looking for a Customer Support Engineer to join our dynamic, collaborative team. In this pivotal role, you’ll work hand-in-hand with our Product and Customer Success teams, making a direct and lasting impact on our fast-growing business. As part of a small, agile group, your expertise will be highly visible, helping shape the future of our Customer Support function. We’re looking for someone who thrives in a fast-paced environment built on open communication, continuous learning, and creative problem-solving. You are proactive, detail-oriented, tactful, and endlessly curious about new technologies. With a natural instinct for automation, process improvement, and exceptional customer experiences, you’ll troubleshoot complex issues, deliver timely and effective solutions, and communicate with clarity and empathy. Above all, you’ll be a passionate advocate for our customers by driving satisfaction, fostering success, and elevating the support experience at every touchpoint.   What you’ll do here - Reproduce and debug customer issues by building or using existing test environments and tools - Communicate tactfully with customers - Gather information, provide diagnostic and resolution steps, convey process and product guidance and follow up after issues are resolved - Solve incoming technical support requests in a timely manner, including high-severity urgent cases - Identify and communicate product usage trends, bugs and feature requests - Guide and mentor new team members on processes and procedures - Collaborate with Enterprise Account Managers to schedule, coordinate, and lead customer debugging calls - Document and record all activity with customers in accordance to both internal and external security standards - Help build out the scope of the team by contributing to product documentation, customer knowledge base, and best practices guides - Continuously improve process and tools in collaboration with the team - Periodic on-call rotation for production-down issues   What we’re looking for - 3+ years of customer support engineering experience (or comparable customer-facing technical role), preferably for mission-critical software - 3+ years supporting enterprise-sized companies - 2+ years diagnosing production network connectivity and performance issues - Excellent problem solving, analytical and troubleshooting experience - Experience communicating clearly and effectively, both verbally and in writing - Experience with Terraform - Experience with major cloud platforms, distributed systems, microservices architecture, and containerization (e.g., Kubernetes) - Experience with scripting tool of choice to help automate reproduction environments (e.g., Bash, Python, Ruby) - Ability to read complex code for troubleshooting - Experience with GitHub - Experience with REST APIs and command line tools - Well-organized, excellent work ethics, attention to detail, and ability to learn new technologies quickly - Experience working in a startup environment   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - DevOps Engineering, Software Engineering, and/or System Administration experience - Software-defined networking experience (e.g., Tailscale) - Experience supporting engineering teams and associated tooling ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: We're looking for a Regional Sales Director, Growth who will be responsible for leading a team of Commercial Account Executives. As the RSD you will be asked to drive revenue growth, retain and attract new talent, and grow your customer base within your assigned territory. You will be recognized as a sales leader throughout the company – setting the tone and pace for your specified region. We are looking for an entrepreneurial sales leader - someone who thrives in a fast-paced, ever-evolving environment. You’ll spend your time developing and executing sales strategies, mentoring your team, and strategically partnering with groups across the organization. You will guide your team through a consultative sales approach where you will learn about your prospect’s needs and then dive into the potential fit. Your expertise will be critical in helping articulate the value of our products and building strong relationships between the prospect and the Grafana sales team. Ideally, you come from a technical background and have sold visualization, application performance management, or cloud-based tooling before. If you have worked with open-source software before, that’s even better. This is a critical hire for the company and you’ll be working closely with the rest of the GTM leadership team. We are looking for someone who wants to sign up for that challenge and build something great. What You’ll Be Doing: Develop and mentor your sales team Develop a pipeline to help over-achieve revenue targets Direct sales activities by establishing sales territories, quotas, and goals Build and maintain an annual sales plan (goals) in support of our organizational strategy and objectives Meet with prospects and strategize with sales representatives to help close deals Help the team prepare for QBRs and HBRs Develop long-term, strategic relationships with key contacts within their account base Strategically partner with Marketing, Solution Engineers, R&D, Customer Support and other functional teams What Makes You a Great Fit: Minimum 3 years of leading successful sales teams Minimum 8 years of successful direct sales experience Experience navigating complex sales cycles that can last 2-6 months Excellent communication (written, oral) and presentation skills (in-person, virtual) Comfort working closely and building relationships with C-Level executives Consistent track record in shaping strategic seven-figure deals MEDDPICC expertise Experience working with ROI and cost modeling to educate and assist potential buyers Excellent organizational, prioritization, and time management skills Unwavering dedication to integrity and professionalism Bonus Points For: Background in technical applications, familiarity with OSS is a big plus Compensation & Rewards: In the USA, the OTE (On-Target Earnings)/Base compensation range for this role is $310,000-$360,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Bitmanager.ai is an AI startup operating in the fast-growing area of conversational AI agents. Languages required: Russian and English (professional proficiency). Work format: On-site in Moscow.

Задачи: — Разработка сервисов ИИ платформы для создания функциональных агентов и ИИ ассистентов. — Подготовка бэк части для функциональных агентов, включая среду разработки агентов: тестирование фреймворков, opensource агенты. — Разработка сервиса управления реестром и скиллами агентов. — Создание отдельного единого сервиса для всех баз знаний, интеграция крупных корпоративных источников. Требования: — Понимание архитектуры, возможностей и ограничений современных языковых моделей. — Опыт работы с embeddings, vector search, RAG, structured output и tool calling. — Понимание принципов проектирования AI-агентов: управление состоянием и контекстом, выбор инструментов, контроль уровня автономности и human-in-the-loop. — Опыт построения evals для LLM-систем, оценки качества ответов, контроля галлюцинаций и мониторинга поведения системы. — Понимание рисков prompt injection, некорректного tool calling, утечки данных и чрезмерных прав доступа агента. — Опыт работы с API языковых моделей, Hugging Face и одним из orchestration-фреймворков. — Умение оценивать стоимость, latency и масштабируемость LLM-решений. — Опыт работы в e-commerce, retail или других продуктовых highload-системах. — Опыт работы с Airflow, MLflow, Kafka, Redis, Kubernetes, Prometheus и Grafana. — Опыт эксплуатации GPU-инфраструктуры и оптимизации inference. — Опыт fine-tuning или адаптации LLM, включая LoRA / PEFT. — Опыт проектирования agentic workflows или multi-agent-систем. — Понимание принципов информационной безопасности, privacy и работы с персональными данными. Условия: — full-time

Вакансия предполагает работу на позиции Senior Data Science специалиста с полной занятостью и удалённым форматом в России. Основные задачи включают разработку сервисов для ИИ платформы, предназначенной для создания функциональных агентов и ИИ ассистентов, а также подготовку серверной части для таких агентов, включая тестирование фреймворков и работу с opensource агентами. В обязанности также входит создание сервиса управления реестром и навыками агентов, а также разработка единого сервиса для баз знаний с интеграцией крупных корпоративных источников. Кандидат должен хорошо разбираться в архитектуре и ограничениях современных языковых моделей, иметь опыт работы с embeddings, vector search, RAG, structured output и tool calling. Важны знания принципов проектирования AI-агентов, включая управление состоянием и контекстом, выбор инструментов, контроль автономности и human-in-the-loop. Требуется опыт построения evals для LLM-систем, оценки качества ответов, контроля галлюцинаций и мониторинга поведения, а также понимание рисков, связанных с prompt injection, некорректным tool calling, утечкой данных и избыточными правами доступа. Необходим опыт работы с API языковых моделей, Hugging Face и одним из orchestration-фреймворков, умение оценивать стоимость, задержки и масштабируемость LLM-решений. Желателен опыт в e-commerce, retail или других высоконагруженных продуктовых системах, а также владение инструментами Airflow, MLflow, Kafka, Redis, Kubernetes, Prometheus и Grafana. Кандидат должен иметь опыт эксплуатации GPU-инфраструктуры и оптимизации inference, а также fine-tuning или адаптации LLM, включая LoRA/PEFT. Опыт проектирования agentic workflows или multi-agent систем и понимание принципов информационной безопасности, конфиденциальности и работы с персональными данными также обязательны.

Location: Hyderabad, India Workplace: Hybrid 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: Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC. This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff. You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks. As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability. WHAT YOU'LL ACHIEVE: - Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance. - Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff. - Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates. - Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure. - Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions. - Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation. - Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns. - Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution. - Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions. - Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution. - Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly. - Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work. - Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel. - Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time. - Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements. SKILLS YOU'LL NEED TO BRING: - 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role. - Strong hands-on Python development experience. - Working experience with Node.js, JavaScript, or TypeScript. - Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation. - Experience working with REST APIs, JSON, authentication, webhooks, and system integrations. - Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff. - Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation. - Experience with Git, code review, automated testing, release practices, and production deployment. - Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems. - Evidence of working on production systems, not only prototypes or proof-of-concept projects. - Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders. - High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation. NICE TO HAVES: - Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation. - Experience with AWS, GCP, or Azure. - Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits. - Experience with monitoring, logging, alerting, or other observability tools. - Experience with enterprise SaaS applications, professional services, or large-scale customer implementations. - Experience migrating large volumes of content or structured data between enterprise platforms. - Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows. - Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms. - Experience working with distributed global or APAC teams. WHAT SUCCESS LOOKS LIKE: In your first 90 days, you will: - Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model. - Establish a productive working rhythm with regional FDE partners. - Contribute to at least one migration or integration workstream through production delivery. - Leave behind clear technical documentation, validation evidence, and an operational runbook. Within your first six months, you will: - Independently own production migration or integration workstreams from technical design through rollout and handoff. - Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering. - Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team. - Demonstrate effective prioritization and communication across multiple concurrent APAC engagements. - Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement. LOCATION: This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days. 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 #LI-Onsite 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.

Задачи: • Формировать AI-стратегию и roadmap бизнес-направления. • Находить наиболее перспективные точки применения AI. • Самостоятельно запускать первые прототипы и AI-пилоты. • Быстро проверять гипотезы и показывать первые измеримые результаты. • Создавать AI-агентов, RAG-решения и AI-автоматизации. • Формировать и приоритизировать портфель AI-инициатив. • Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования. • Переосмысливать бизнес-процессы с учетом возможностей AI. • Работать с руководителями бизнес-направлений и защищать AI-инициативы. • Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах. Требования: • 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation. • Практический опыт запуска AI/ML или технологических продуктов. • Сильное понимание LLM, Generative AI, AI Agents и RAG. • Способность самостоятельно собрать работающий AI-прототип. • Product mindset и ориентация на быстрый результат. • Стратегическое мышление и способность формировать AI-roadmap. • Умение связывать технологии с конкретным бизнес-эффектом. • Опыт работы с руководителями и топ-менеджментом. • Высокая самостоятельность и ответственность за результат. AI-инструменты и технические навыки: • Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM. • Работа с LLM API, Prompt Engineering, Tool/Function Calling. • Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов. • Практическое понимание RAG, embeddings, vector databases. • Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов. • Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов. • Опыт работы с n8n, Make или другими инструментами автоматизации. • Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных. Кого мы ищем: • Не классического бизнес-аналитика или координатора. • Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой. Главный результат: • Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤖 WHO WE ARE Alan Clinic. A health companion and a digital clinic for everyone. We're a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. The Clinic is two crews building one experience: - Mo. An intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care. We kicked off in 2023 and launched Mo to all our French members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe. - Clinic Platform. The medical services behind the conversation: chat with health practitioners, teleconsultation, and care programs across primary care, mental health, and physiotherapy. Imagine giving every person in the world instant, 24/7 access to personalised medical expertise (through chat, voice, or video) with AI agents working in tandem with real doctors and the health system. That's what we are building 🤖🏥. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH We're building a medical experience that works reliably, safely, and at scale. An AI agent, and the clinic behind it. You'll lead the engineering team and you'll keep building alongside them. The crews work at the intersection of product engineering, ML engineering, and medical expertise. As their engineering leader, you own: - 💬 The team behind the most memorable chatting experience. Hiring, onboarding, honest feedback, and the mix of skills Mo needs as it grows. Talent density is yours to own. - ➕ The architecture for Mo's next chapters. More context, new skills, new countries. You guide the calls on our architecture and agentic framework, and you stay close enough to the code to make them well. - 🏥 The platform that turns conversations into care. Chat with health practitioners, teleconsultation at national scale, and the tooling doctors and therapists use every day. You drive alignment with the crews and medical teams on the other side, so members get from words to actions. - 🛡️ Operational excellence. Mo and teleconsultation are real-time services that have to be live 24/7. Latency, error rates, incident response, and an on-call rotation that doesn't burn people out. If you're excited by the idea of building the future of healthcare, this is the team for you. We're at the start of the journey. If you're curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently. ⚡ WHY THIS ROLE IS SPECIAL - Dual impact: Shape both technical excellence and team growth - your engineers become better while building better products - Leadership growth: Influence engineering culture, mentor future leaders, and drive technical strategy that shapes the future of healthcare delivery - Startup speed, Alan's platform. Mo operates with the focus of a startup, on top of Alan's infrastructure, distribution, and health expertise. Small team, huge reach. - Stakes that make the work matter. In medical AI, reliability and safety are the product. Every call you make on quality, architecture, and evaluation is a call about our members' health. 🔍 WHAT WE'RE LOOKING FOR We're looking for an engineering leader who gets excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare. LEADERSHIP EXPERIENCE - 3+ years leading engineering teams, with a track record of building high performers. - You partner with other product functions as a true equal: you shape the roadmap, name trade-offs honestly, and help the team commit to what it can actually deliver. TECHNICAL FOUNDATIONS - Experience establishing engineering excellence standards, with the ability to guide architectural decisions. - First-hand experience shipping AI or LLM products to production is a big plus. - You're excited and eager to keep writing code. You still review it, and you still ship some yourself. - Comfortable with modern development practices and AI-assisted development tools. WHAT WE VALUE - Curious, self-starting, humble, collaborative, and eager to grow. - You develop people as much as you develop products. - Ex-founders are typically a great fit in our team. MISSION ALIGNMENT - Healthcare technology and innovation excite you - You understand that great engineering teams are built on psychological safety and continuous learning But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

About the Role: We are seeking a highly motivated and licensed Property & Casualty (P&C) Insurance Broker to join our team as part of a critical pilot to launch a P&C broker model at Gusto. You will be essential in evolving Gusto's business insurance channel by acting as a licensed agent to quote and issue business insurance policies with our NEXT Insurance carrier partner. You will use your expertise to provide direct support and an improved experience for small business customers with complex insurance needs, helping to capture meaningfully higher revenue and accelerating the development of our AI Insurance Advisor. About the Team: This team is crucial to solving customer experience gaps and optimizing our offline insurance channels. You will be a SME who is part of the "human-in-the-loop" workflows required to train and optimize Gus as an AI insurance advisor. Our collective vision is to be an expert advisor that supports small businesses through every stage of growth, with this pilot being key to establishing our digital insurance agency and licensed agent integration. Here’s what you’ll do day-to-day: — Make outbound dials to prospective and existing small business clients to assess their complex P&C insurance needs and recommend suitable coverage options. — Quote and issue Property & Casualty policies, primarily with the NEXT Insurance carrier, in our offline sales channel. — Achieve required daily, weekly, and monthly sales activity expectations. — Provide human-in-the-loop support to optimize the AI Insurance Advisor, Gus, and assist customers with more complex needs. — Maintain client relationships, manage policy renewals, and facilitate changes or endorsements to existing policies. — Act as a trusted liaison between clients and carriers, including assisting clients with reports of losses and claims settlement when necessary. — Actively work to cross-sell and up-sell additional P&C lines of coverage and strive to achieve monthly production goals for units and/or revenue. — Maintain accurate and up-to-date client records and policy documentation within CRM systems (SFDC workflow). — Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next. — Stay current on industry trends, products, regulations, and underwriting guidelines to provide accurate advice and ensure compliance. Here’s what we're looking for: Experience in the field: — Proven experience in insurance sales or brokerage, with coverage level knowledge of commercial P&C products (e.g., Workers' Compensation, BOP, Commercial Auto, E&O). — 4+ years Licensing: — An active Property & Casualty insurance producer’s license Communication & Interpersonal Skills: — Excellent verbal and written communication, active listening, and strong interpersonal skills to build rapport and explain complex concepts clearly. Sales & Negotiation: — Strong sales and negotiation abilities with a proven ability to meet sales targets. Technical Proficiency: — Working knowledge of carrier quoting systems, proficiency in insurance software, and familiarity with CRM systems like Salesforce (SFDC). — Comfortable using AI tools and automation to enhance productivity, decision-making, and problem-solving. Mindset: — A demonstrated passion for delivering an incredible customer experience and genuine empathy for small business owners. Attributes: — Highly self-motivated, goal-oriented, and an entrepreneurial ownership mentality to thrive in a fast-paced, high-energy environment. AI Fluency: — Proven, day-to-day experience integrating AI into how you work - across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes. Compensation: — Cash compensation amount for this role is $109,390 to $134,000 OTE for Denver, Atlanta, Chicago & Las Vegas. — $102,855 to $126,000 OTE for Phoenix. — Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Work Format: — Gusto has physical office spaces in Denver, San Francisco, and New York City. — Employees based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). — The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. — When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Equal Opportunity: — Gusto is an equal opportunity employer and does not discriminate based on legally protected characteristics. — Committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in the job application process. Security & Privacy: — Gusto takes security and protection of personal information seriously.

Algolia is a market leader in AI Search, serving over 18,000 businesses and processing over 30 billion search requests weekly. The company raised $150 million in Series D funding in 2021, reaching a valuation of $2.25 billion. The Customer Success Engineer role involves ensuring customers successfully adopt, implement, and scale Algolia's search and discovery platform. Responsibilities include delivering technical onboarding, solution design, best-practice guidance, and hands-on implementation support. The role requires partnering with customers to design scalable solutions, supporting Professional and Expert Foundation offerings, acting as a Technical Owner for assigned accounts, and ensuring smooth delivery through communication, documentation, and stakeholder alignment. Key tasks include consulting customers, delivering technical workshops, advising on search implementation and optimization, collaborating with Customer Success Managers, escalating issues as needed, partnering with Product and Engineering teams, reporting case status, identifying and resolving technical risks, and optimizing customer environments. Requirements: — 4+ years in a customer-facing technical role (CSE, SE, SA, consultant), preferably in SaaS — Functional knowledge of at least one programming language: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python — Experience with REST API, database management, and web development technologies — Experience delivering technical workshops (training, knowledge transfer, implementation, code review) — Lifelong learning and growth mindset — Ability to explain complex technical concepts to broad audiences — Proficiency in communicating technical issues to technical and non-technical audiences via phone and email — Excellent time management, task prioritization, and situational urgency evaluation — Occasional travel to customer locations may be required Nice to have: — Experience implementing or optimizing search & discovery experiences — Experience designing and developing generative AI and agentic applications — Experience in high-growth SaaS environments — Familiarity with iOS & Android platforms — Experience supporting open-source projects and GitHub communities — Experience with Shopify, Magento, and Salesforce Algolia offers a flexible workplace strategy with options for fully remote or hybrid-remote work. The company values grit, trust, candor, care, and humility. Algolia is committed to diversity, inclusion, and creating a respectful workplace. Candidates are advised to apply only through the official careers page and be cautious of recruitment scams.

Location: Hybrid - London, Berlin 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 looking for a Head of Solutions Architecture, EMEA to join our global Field Engineering organization. You will build and lead the technical sales organization behind our customer relationships across Europe, a region where some of the most ambitious web and AI products are being built on Vercel, Next.js, and our AI stack. The architecture decisions our Solutions Architects shape early, in the first review and the first migration plan, often determine how far a customer scales with us. You will lead the Solutions Architecture organization across EMEA, a team of Solutions Architects and the managers who lead them. You will set the bar for technical excellence across the deal cycle, coach the team through strategic accounts and critical deals, and step in yourself when it matters most: architecture reviews, migration plans, and high-stakes executive presentations. You will shape how Vercel wins in the region, turning patterns from the field into repeatable plays, adapting our motion to the realities of selling across European markets, and carrying what customers tell you back to our product and engineering teams so it shows up in the platform. You will drive org planning, staffing, budgeting, and recruiting as you scale the team the region needs, partner closely with EMEA Sales leadership to win new business and expand existing accounts, and report directly to our Global VP of Field Engineering. This is a hybrid position based in our London or Berlin office, with three days per week onsite. What you'll do Lead, develop, and manage our team of pre- and post-sales Solutions Architects across EMEA. Provide hands-on support for key accounts as needed (presentations, architecture reviews, migration plans). Oversee and coach Solutions Architects on strategic accounts and other engagements across segments. Partner with our engineering org to provide product feedback from the field. Develop repeatable plays from trends you are seeing across your team. Track and report SA performance to Sales and Field Engineering leadership quarterly. Own org planning, staffing, budgeting, and regional recruiting. What you need 10+ years of experience in Solutions Architect, Sales Engineering, or Technical Pre-sales roles, with at least 5 years in a leadership position. Strong background in modern web technologies (JavaScript, React, Next.js, Node.js, APIs, cloud infrastructure). Proven ability to lead, coach, and scale technical teams in a high-growth environment. Demonstrated success working with enterprise and commercial customers across diverse industries. Strong understanding of modern software development workflows (CI/CD, DevOps, frontend frameworks, etc.). Experience collaborating with Sales, Product, and Engineering teams to drive customer success. Bonus if you Have hands-on experience building with Vercel, Next.js, or similar frontend frameworks. Have led SA teams at a high-growth SaaS or cloud infrastructure company. Bring expertise in developer tooling, edge computing, or performance optimization. Are comfortable presenting at conferences, webinars, or large-scale customer events. Benefits: 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. 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: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice