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Location: North America; Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap. We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting. Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about - Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around - Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored - Work with our video team to produce technical product content that comes across with genuine depth - Partner with support, sales, and product on developer-facing documentation and educational content - Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter What we’re looking for - Someone technical. You get code, understand how software gets built, and can talk about it credibly - Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features - Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. - Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility - Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities - Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

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Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate. Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams. While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must. WHAT YOU’LL DO - Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements. - Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack - Empower the sales team with tools and knowledge to close deals quickly - Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business - Closely follow technical, legal, and policy developments in the generative AI space WHAT YOU’LL NEED - A J.D. and admission in good standing with at least one state bar - 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company - In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have - Bias for action and a willingness to take ownership - Growth mindset that prioritizes continuous operational improvement and service excellence - Experience with scaling business processes globally and operating in environments that have achieved significant scale - Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. We're looking for a Partnerships Lead, GSIs to build and scale Replit's relationships with the world's largest systems integrators. This is a high-impact, externally-facing role at the intersection of channel strategy, enterprise go-to-market, and ecosystem development. You'll own how Replit shows up for the EYs and Accentures of the world, building the programs, partnerships, and co-sell motions that turn GSI relationships into a meaningful revenue channel. AI-driven software development is reshaping how enterprises build, and GSIs are at the center of how that transformation gets delivered to their clients. This role is for someone who knows how GSIs work from the inside, their practice models, their incentives, their org structures, and who can build the trust and commercial frameworks needed to make Replit a go-to platform in their delivery stack. WHAT YOU'LL DO - Own and develop Replit's GSI Channel program strategy, building on the momentum of our Accenture partnership to recruit, enable, and scale additional GSI relationships (e.g., Deloitte, Cognizant, Infosys, Wipro, TCS, and others). - Serve as the primary relationship owner for key GSI partners, developing joint go-to-market plans, co-sell motions, and solution frameworks that drive pipeline and revenue. - Build and manage the partner enablement program, including training, certifications, and technical resources that equip GSI teams to position and deliver Replit-powered solutions to their enterprise clients. - Collaborate closely with Replit's Enterprise Sales team to identify and pursue co-sell opportunities, aligning GSI capabilities with customer needs for AI-driven software development. - Develop joint solution offerings with GSI partners that combine Replit's platform with partner delivery capabilities, targeting use cases in application modernization, developer productivity, and AI transformation. - Define and track partnership KPIs, including partner-sourced and partner-influenced pipeline, revenue, certifications, and customer outcomes. Regularly report progress to leadership. - Represent Replit at partner events, industry conferences, and executive briefings to deepen relationships and expand our partner ecosystem. - Negotiate partnership agreements, including commercial terms, co-marketing commitments, and joint investment plans. REQUIRED SKILLS & EXPERIENCE - 8+ years of experience in partnerships, channel sales, alliances, or business development, with a significant focus on GSI relationships. - Proven track record of building and scaling GSI or large SI partnerships at a high-growth technology company, ideally in developer tools, cloud infrastructure, or enterprise SaaS. - Deep understanding of how GSIs operate, including their practice models, delivery structures, go-to-market motions, and decision-making processes. - Experience developing joint solutions and co-sell motions with GSI partners that resulted in measurable pipeline and revenue growth. - Strong executive presence with the ability to build trust and credibility with senior leaders at GSI firms and within your own organization. - Highly collaborative, with experience working cross-functionally across Sales, Product, Marketing, and Customer Success teams. - Comfort operating in a fast-paced, early-stage environment where you will need to build processes and programs from scratch. - Excellent communication and storytelling skills, with the ability to articulate the value of AI-driven development to both technical and business audiences. - Bachelor's degree required; MBA or equivalent experience is a plus. BONUS QUALIFICATIONS - Join at a pivotal moment: Replit is defining a new category in AI-powered software development, and our GSI channel is a strategic growth lever. - Work alongside a world-class team passionate about making software creation accessible to billions of people. - Competitive compensation, including equity, comprehensive benefits, and flexible work arrangements. - Be part of a culture that values speed, ownership, and impact over process and politics. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Remote - US About the Job: As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture. You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction ( CUPED , Winsorization), power analysis. Ensure statistical correctness across all experiment types. Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. Mentor engineers and raise the team's bar for statistical rigor and system design. Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting. Qualifications: 10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services. Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction ( CUPED ), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs. Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL -based allocation. Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar. Expertise in Go, Python, or similar for backend services and statistical computation. Experience with event-driven architectures, data pipelines, and large-scale data processing. Cloud environments (AWS, GCP) with infrastructure-as-code. Technical leadership: setting direction, breaking down complex problems, influencing across teams. Ability to translate statistical concepts for product and engineering audiences. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,0202** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems. A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion. We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/ - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs. - Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models). - Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda. - Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence. - Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems. - Mentor junior researchers and shape the technical direction of the research organization as it grows. PREFERRED QUALIFICATIONS - Master’s or PhD research depth in machine learning, with first-author publications at top venues - Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work - Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built - Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years - Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology) - Track record of open-source contributions or community building in ML research OUR VIEW ON TALENT Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote, Germany, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for an Account Executive, Enterprise who will be responsible for generating new business pipeline and expansion and closing new customers in the Enterprise segment (Top Accounts in Germany). This includes identifying specific projects where Fivetran can add value. This is a full-time, remote position based out of Germany. What You'll do Generate new business qualified opportunities by working with Tech Partners, SI Partners, XDRs, going direct outbound on named accounts in territory Actively pitch the value proposition of Fivetran’s Database replication capabilities along with the Fivetran platform at-large Manage 90-180 day sales cycles with multiple stakeholders and departments to land in an enterprise organization Negotiate responsible deals and manage the procurement process with legal, deal desk, and deal champions Develop trusted relationships with internal stakeholders and senior decision makers at large organizations who will evangelize Fivetran throughout their company As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. Skills We're Looking For A minimum of 8 years' experience in new business sales, demonstrating a track record of success in selling to enterprise-level organizations. Have the vision to succeed Plan the vision by a strategy through territory and account planning Drive pipeline generation with ecosystem Land customers as soon as possible Sell services to help offload onboarding Proficient in sales within the Data industry. Capable of effectively utilising both inside and outside sales approaches to secure deals. Demonstrated proficiency in generating new business-qualified opportunities across diverse channels. #LI-LA1 #LI-REMOTE Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: New York, NY (HQ); San Francisco, CA 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 $200B in annualized spend flows in and out of 70,000+ 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 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 Ramp's Mid-Market Customer Activation Managers don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll own a book of ~45 mid-market customers, responsible for driving genuine workflow transformation — not just onboarding completion What You'll do 1. Lead mid-market customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes 2. Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line 3. Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metric 4. Run stakeholder management across multiple layers of a customer org, including finance leadership relationships you own independently 5. Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match 6. Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates 7. Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts 8. Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves What You'll Need - 5+ years of customer-facing experience in customer success, consulting, or implementations with a proven, consistent track record of driving customer outcomes and exceeding goals - Demonstrated ability to drive workflow adoption inside organizations, navigate real resistance from real stakeholders, and produce measurable results; finance or fintech context is a plus but not required - AI fluency as a daily habit — you already use AI tools habitually to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks; this is how you work, not something you're exploring - Ability to communicate Ramp's impact in financial terms — walking a controller through the business case for a workflow change, connecting implementation milestones to P&L outcomes, and running executive updates that land with finance leaders - Technical acumen to hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture; credibility in technical conversations earns you a seat at the table with the full customer stakeholder group - Prior demonstrated success in fast-paced, results-oriented GTM environments, ideally at SaaS or FinTech companies - Strong collaboration and influencing skills across Sales, Product, Operations, and other GTM teams Nice to Haves 1. Experience helping customers adopt AI-powered or agentic workflows at scale; understanding of what friction looks like in practice and what makes transformation stick 2. Exposure to FP&A, accounting software ecosystems (NetSuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows 3. Demonstrated commercial impact — expansion, retention, or time-to-value outcomes with specific metrics attached 4. Background at an AI-first or AI transformation company where rethinking workflows around AI was part of the product or culture 5. Management consulting background with structured problem-solving, client management, and the ability to turn ambiguity into a plan 6. High-growth or startup experience with comfort operating in ambiguity and rapid change For candidates located in NYC or SF, the pay range for this role is $128,000 - $176,000. For candidates located in all other locations, the pay range for this role is $115,000- $158,300. 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

Location: New York, NY (HQ); San Francisco, CA 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 $200B in annualized spend flows in and out of 70,000+ 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 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 Ramp's Strategic Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's largest, most strategic enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion. What You'll Do - Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes - Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line - Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics - Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates - Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts - Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves Must-Haves - Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is. - Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group. - 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one. Nice-to-Haves - Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) - C-suite relationships built and maintained independently, without relying on a sales counterpart For candidates located in NYC or SF, the pay range for this role is $198,000- $271,000. For candidates located in all other locations, the pay range for this role is $178,000- $244,000. 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

Location: Hybrid - San Francisco, New York City, Austin 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 As a Senior Forward-Deployed Engineer on the Professional Services team, you will embed with developer teams at strategic enterprise customers to lead frontend migrations, performance work, and production AI builds. Success looks like production code live in customer environments, customer teams able to extend it on their own, and a wider partnership with each account. This is a remote role open to candidates in the US, with occasional travel to customer sites. What you'll do Build production AI agents, Model Context Protocol (MCP) servers, and agentic workflows with the AI SDK and the eve framework inside customer environments Lead migrations of legacy React, Vue, and other frontends to Next.js, including Pages Router to App Router, and automate the repeatable steps Audit customer codebases for performance bottlenecks and architectural anti-patterns, then deliver roadmaps with measurable improvements, including answer engine optimization (AEO) and search engine optimization (SEO) Architect and ship high-performance Next.js applications with App Router, Server Components, streaming, and incremental static regeneration (ISR) Run workshops and pair programming sessions so customer teams can maintain what you ship, and share repeatable patterns with Product and Engineering What you need 6+ years of software engineering experience, including 2+ years in a customer-facing technical role (consulting, solutions architecture, forward-deployed engineering, or technical founder) Shipped production TypeScript applications on Next.js and React, including a legacy-to-Next.js migration, or built and deployed production LLM agents with human-in-the-loop patterns and sandboxed execution Built and deployed web applications, backend systems, or agentic workflows using AI coding tools such as harnesses, skills, and MCP servers Presented technical discovery findings and proposals to executives at enterprise customers, and mentored other engineers Bonus if you Led an enterprise AI initiative that replaced a manual process or legacy system with a production agent Diagnosed and fixed Core Web Vitals issues (Largest Contentful Paint, Cumulative Layout Shift, Interaction to Next Paint) at scale Contributed to Next.js, React, or the AI SDK, or maintain a popular related library The San Francisco, CA base pay range for this role is $137,000.00 - $207,000.00.  This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be  adjusted based on employee location.  The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location 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: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit spreads through companies differently than it does through individuals. One person builds an app, colleagues start using it, a team forms, an admin rolls Replit out more widely, and eventually Sales gets involved. You'll be the data scientist for Replit's enterprise business, covering both the product and the go-to-market motion: how Replit spreads inside organizations, what keeps teams engaged after rollout, which features and signals drive expansion, and how all of that becomes pipeline, revenue, and a reliable forecast. Experimentation is hard here. There are far fewer accounts than users, people within an organization influence each other, and admins control what their teams see. You'll figure out how to learn quickly and rigorously anyway. You'll work with Enterprise Product, Engineering, Sales, Customer Success, RevOps, and Finance, and your work succeeds when it changes a product, GTM, or investment decision. YOU WILL: - Define how we measure the enterprise business end to end: account-level activation, breadth (share of seats active), depth (apps built, deployed, and shared), collaboration, consumption, and net revenue retention - Understand virality inside organizations: how Replit spreads from a first builder to teams through app sharing, invites, and viewers who become builders; quantify within-account network effects and find the levers that accelerate them - Explain post-engagement churn: why seats and accounts that engaged at rollout go dormant, separate seat-level decay from account-level risk, and turn it into account health models that give the product and Customer Success early warning and a clear next action - Identify the product behaviors and features that precede seat expansion and plan upgrades, and use them to build product-qualified account (PQA) models that route bottoms-up usage to Sales at the right moment - Measure adoption and value for enterprise features — admin and governance controls, security, data connectors, collaboration, and deploying to data platforms — and use it to inform what we build next - Design experiments for enterprise: account- and cluster-level randomization, interference within organizations, small samples and heavy-tailed account sizes, stratified and matched-pair designs, staged rollouts and long-running holdouts, synthetic control, and Bayesian or hierarchical models where data is sparse - Measure the incremental impact of GTM programs — pilots, onboarding, enablement, and sales-assist — with the same rigor as product launches - Own enterprise forecasting for pipeline, bookings, consumption, and expansion, and pressure-test the assumptions behind capacity and quota plans - Analyze pricing and packaging: seats vs. consumption, and how contract structure shapes usage - Build a trusted enterprise data layer that joins product telemetry, CRM, and billing data and models the org, workspace, team, and seat hierarchy, so Product, Sales, and leadership can self-serve — increasingly through AI agents rather than static dashboards - Bring a point of view to the enterprise roadmap and GTM strategy before you're asked REQUIRED SKILLS AND EXPERIENCE - 6+ years in product or GTM data science, with significant experience on B2B, collaboration, or multi-seat products - Hands-on experimentation where the unit of randomization differs from the unit of analysis: cluster randomization, interference, and small-sample designs - Strong retention and survival modeling, cohort analysis, and segmentation at both user and account level - Experience defining adoption, retention, and revenue metrics (activation, NRR, GRR, expansion) and getting the company to agree on them - Built scoring or forecasting models that Sales, Customer Success, or Finance actually used - Expert SQL, including messy CRM, billing, and product data joined at the account level; strong Python; comfortable building your own datasets in dbt - A track record of analysis that changed a product roadmap or GTM decision, and the confidence to push back on an attractive story when the evidence doesn't support it - Heavy, practical use of AI tools to move faster in your own work PREFERRED QUALIFICATIONS - Experience at a company that grew from bottoms-up adoption into enterprise sales (collaboration, productivity, or developer tools) - Consumption- or usage-based revenue models and PLG-to-sales motions (PQLs/PQAs, sales-assist) - Virality, network, or graph analysis of collaboration data - Fluency with Salesforce data and RevOps tooling - Modern data stack: BigQuery, dbt, Hex BONUS POINTS - Experience with enterprise admin, security, or governance product surfaces - Built AI agents for GTM teams (account research, deal reviews, QBR prep) - Early member of an enterprise or GTM data function This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Tokyo, Japan 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 We're looking for a motivated Sales team leader with an entrepreneurial and building spirit to join our Commercial Sales team. This person will play an integral role in helping lead our growth efforts across Japan. We need someone with an entrepreneurial and builder spirit, someone who enjoys coaching sales reps to be the best they can be, someone who is data-driven and experienced in managing a high-velocity sales pipeline. As an early member of the team, you'll be instrumental in helping define our sales motion, meaningfully shape our future product, and drive business revenue all while having a blast doing it! WHAT YOU'LL ACHIEVE - Lead a team of Commercial Account Executives who handles full cycle sales activities, including: prospecting/building pipeline, developing new potential accounts, expanding existing customers, and renewing an install base - Own the strategy of your team’s territory, including how the team maximizes the revenue it is generating and retaining - Own the execution of your team’s strategy, including the team forecast and pipeline generation - Work with cross functional partners (Sales, Channel, Customer Success, Deal Desk, Ops, Legal) to build playbooks and define our sales motion - Liaise with our incredible user base to provide world class customer experience - Work with the various Notion leaders to define and lead our long term sales strategy to help us move up market - Meet with executives from some of our largest prospects and customers to help engage and ultimately in business - Attract, hire, and retain a world class sales organization - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. SKILLS YOU'LL NEED TO BRING - 5+ years of full cycle sales at a fast growing software, SaaS, or AI company - 3+ years sales management or team leader experience - Understanding of PLG and SLG sales motions, with successful experience in combining bottom-up Land and Expand approaches with top-down strategies - Proven track record in the Commercial, Mid-Market segments. Ability to articulate customer case studies based on experience in collaboration and productivity domains. - A passion for coaching and rep development, specifically around building compelling business cases and creating urgency - A track record of leading high performing teams who exceed their quotas - Strong leader who builds cross functional relationships inside and outside of sales - A builder mentality who thrives in collaborative environments - A phenomenally strong communicator with engaging and compelling presentation skills - A positive and openness minded attitude - A strong desire to be successful without sacrificing your values - An ability to operate within the gray and find creative or out-of-the-box solutions when faced with ambiguity - A strong ability to analyze data to build thoughtful strategies - Fluency in Japanese (native level) and English (business level) NICE TO HAVES - You've been a leader at a fast growing start up before - You've got strong technical chops - Direct sales plus experience of selling through Partners - Experience of quarterly sales planning 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/Notion-Global-Recruiting-Privacy-Policy-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.

Location: New York; San Francisco; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re hiring an Enterprise Account Executive to accelerate Modal’s growth with the world’s most innovative AI companies. This is a high-impact role where you’ll own the full sales cycle—from building pipeline to closing large, strategic enterprise deals. You’ll partner directly with our founders, engineering, and product teams to help customers harness Modal’s infrastructure to train, deploy, and scale AI applications. You’ll be expected to operate as a builder: developing new relationships, shaping our GTM motion, and serving as the voice of the customer inside Modal. The ideal candidate is both technically curious and commercially driven—equally comfortable in a room with C-level executives and with machine learning engineers. In this role, you will: - Drive new business by generating pipeline, negotiating, and closing complex enterprise deals - Build deep, trusted relationships with technical and executive stakeholders at leading AI companies - Run proof-of-concepts and pilots in close collaboration with our solutions and engineering teams - Expand existing accounts by identifying growth opportunities and helping customers scale their workloads - Bring structured customer feedback to influence Modal’s product roadmap and GTM strategy - Contribute to the foundation of Modal’s sales process, culture, and playbooks as we scale the team REQUIREMENTS: - 7–10+ years of enterprise software sales experience, ideally in infrastructure, ML/AI, or developer-focused platforms - Track record of consistently exceeding $1M+ annual quotas and closing six- and seven-figure enterprise deals - Strong technical acumen—able to communicate infrastructure and AI concepts with both engineers and executives - Experience leading proof-of-concepts and managing complex procurement processes - Excellent communication, negotiation, and relationship-building skills - Comfortable in an early-stage, fast-moving environment; excited to help shape systems and processes from the ground up - Ability to work in-person from our office 5 days a week

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises are starting to run on Baseten, and they arrive with a range of security, compliance, and procurement requirements. As an Engineer on Baseten's enterprise engineering team, you'll build the capabilities that enable large organizations like Writer, HubSpot, and Notion to succeed on Baseten. Enterprise engineering authors the core building blocks, APIs, and user experiences powering the Baseten platform: identity and access management, billing, regional isolation, and self-hosted and single-tenant deployment options. This is deep product and systems work across the full stack, from designing authentication and authorization systems using standards like OAuth and OIDC to shipping the admin experiences enterprise IT teams use to manage their organization. EXAMPLE INITIATIVES Recent and upcoming work on the team: - Fine-grained authorization for users, service accounts, and agentic workloads - SSO and SCIM support, allowing customers to centralize and automate access to Baseten - Expanding the billing platform to support evolving pricing models, advanced data exports, and controls to manage spend - In-product management and enforcement of customer compliance requirements like data residency and HIPAA - Securing network paths in and out of a customer's models with private connectivity and ingress and egress restrictions - Allowing customers to run Baseten inside their own VPC, on-prem, or a dedicated single-tenant environment RESPONSIBILITIES - Lead complex, ambiguous engineering initiatives from problem definition and technical design through implementation, launch, and iteration. - Make thoughtful architectural decisions, balancing near-term customer needs with long-term simplicity, scalability, and maintainability. - Partner with product, design, and customer-facing teams to translate user feedback and requests into product requirements and durable technical solutions. - Establish strong engineering practices for quality, security, observability, and operational ownership. - Provide technical leadership and mentorship, helping teammates grow while raising the quality of design and execution across the team. REQUIREMENTS - Experience building enterprise software, including work on one or more of: identity and access management, billing systems, multi-tenant isolation controls, private connectivity, or compliance program initiatives. - Demonstrated ability to lead technical projects, develop and operate systems running at scale, and collaborate with customers to understand their needs. - Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure. - Preferred: Experience building AI or data-intensive infrastructure products. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Home Based - APAC Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Mandarin Speaking Embedded Linux Field Engineer for Devices/IoT to expand our reach in mission-critical industries such as Automotive, Medical Devices, Industrial Systems, Robotics, and Telco, as well as Consumer Electronics. We are looking for candidates who are accomplished Linux plumbers. If you are someone passionate about Linux, who knows the plumbing of the OS inside and out, who is proficient with distribution packaging, software design, system debugging, and bringing customer's ideas to life, then please keep on reading - this may be a uniquely exciting opportunity for you. The server edition of Ubuntu is already very widely used in connected devices and industrial PC's. Our edition of Ubuntu for IoT, called Ubuntu Core, represents the state of the art in security and resilience for high end appliances and equipment. Our customers include global brands in consumer and industrial electronics as well as automotive and robotics. We continue to expand our range of offerings to bring our security, management and developer experience to the smallest Linux environments and devices. We recently added a real-time Linux capability and are working towards a range of certifications for these offerings. Together, this portfolio is Linux reinvented for optimal reliability, security, developer productivity and footprint. This career opportunity requires a unique blend of skills. Successful candidates will know Linux well and be proficient coders and scripters. They will have experience of low-level Linux boot, BIOS, firmware and embedded software development methodologies. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also dedicated team players that take pride in team and company wins. We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true. Location: This role will be based remotely in the APAC region, except in locations where we have an office, such as Taipei and Beijing What your day will look like Engage customers during presales to gather requirements and explain our technology Elaborate solutions to be proposed to prospective clients Participate to the delivery of select projects related to Embedded Linux Convey market requirements to key stakeholders in our organization, and sometimes participate to the development or refining of generic solutions to unlock market potential Be both a customer advocate and a trusted advisor to Canonical What we are looking for in you The candidate needs to be fluent in Mandarin and willing to travel to China regularly Bachelors degree in Computer Science or related technical field Extensive Linux experience - Debian or Ubuntu preferred Distribution / Packaging experience (deb, rpm, ...) Solid embedded Linux experience (Yocto, Buildroot...) Fluency in at least one of Golang, Python, C, C++, or Rust Professional written and spoken English in addition to the local language Excellent communication and presentation skills Result-oriented, ability to multi-task A personal drive to meet commitments An humble learner and quick study Albeit many projects can be done remotely, the successful candidate will be willing to  travel up to 30% of the time for customer meetings, company events, and conferences Additional skills that you might also bring Experience with customer engagements is a plus What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: New York, NY (HQ); San Francisco, CA 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 $200B in annualized spend flows in and out of 70,000+ 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 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 Ramp's Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion. What You'll Do - Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes - Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line - Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics - Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates - Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts - Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves Must-Haves - Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required. - ERP system fluency — You're comfortable working within and around major ERP platforms (NetSuite, SAP S/4HANA, Workday, Sage Intacct, or similar). You understand how these systems structure financial data, where integrations typically break, and how workflow changes ripple through an ERP-centric finance stack. This fluency is what lets you speak credibly to Controllers and finance ops teams about how Ramp fits into their existing systems of record. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is. - Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group. - 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one. Nice-to-Haves - Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) - C-suite relationships built and maintained independently, without relying on a sales counterpart For candidates located in NYC or SF, the pay range for this role is $163,000 - $262,000. For candidates located in all other locations, the pay range for this role is $147,000- $236,000. 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

Location: Remote WordPress doesn’t try to keep its users inside walled gardens, a rare thing in a world that is dangerously moving away from the open web. Instead, WordPress gives them the freedom to build a business website, an online store, or a personal blog – the way they like it. Big sites or small, using the community-run open source project or Automattic’s WordPress.com , vanilla or customized with hundreds of plugins, WordPress users always get to own and control their data, their expression, and their freedom. We’re always looking for talented and experienced engineers worldwide, excited to help Automattic’s product ecosystem, and join our mission to make the web a better place. What have we worked on recently? AI is at the heart of many new product developments and powers a lot of our day-to-day development workflows. WooCommerce is the most popular and most flexible e-commerce platform on the web. We're working tirelessly on giving you all the control, while keeping the platform fast and stable. Gutenberg is a new block-level editor for WordPress with clean abstractions for users, too, not just developers. Tumblr is a microblogging social network where users create, share, and follow what they love. To view more of our recent work, check out our longer product list on Automattic.com . How do we work? We’re kind to each other and our users – we build a positive, supportive, and inclusive culture of cohesive teams focused on building useful products for our customers. We work as a global and distributed workforce resulting in a unique way of working built around our creed . We offer flexible work arrangements allowing our team members to work when they feel best. We open-source! We’re cool with open-sourcing everything except passwords, or secret keys. We ship often, deploying many times daily with the help of peer code review, continuous integration, and our global workforce in over 70 countries. We welcome collaboration, and you can be involved in any discussion across our many communication channels. We encourage you to learn and develop and we support you with what you need – covering expenses, easy internal mobility, coaching. Enough about us, let‘s talk more about you. Working at Automattic might be a good fit if: You care and often obsess over the quality and the details of your work. Debugging any problem is a fun challenge and not a chore. Understanding the layers of abstraction below and above your work isn't something extra, but how you operate. You have production experience with several programming languages, frameworks, and paradigms. We mostly use PHP and JavaScript at Automattic, we expect you to be comfortable with the idea of becoming an expert in these languages, even if being one isn't a requirement to apply. In your mind abstraction is associated as much with cost as it is with value. You have experience working at scale – it can be on the backend and performance side, or via the complexity of interacting with a multi-million diverse userbase. Are open and able to travel 3-4 weeks per year to meet up with your teammates in person. These are exciting times at Automattic and you’ll have a unique opportunity to shape the future of our products. Join us! We look forward to hearing from you. Curious who works in engineering at Automattic? Meet our Code Wranglers – Brandon, Jeremy, Mark, Jennifer, Roy and Kat! What to Expect: We know applying to jobs can be stressful and we want to ease the stress by giving clear expectations upfront about our process. We’ve outlined everything you need to know here including all of the steps in the process as well as how we approach hiring. Please note that we are paying extra attention to your answers to the questions in the application form. They are a significant part of the hiring process, and we will review them just like we would review any other step of the hiring process. We’re always iterating so if you happen to join us in the process, please feel free to offer feedback on what else we can include there! Salary range: $70,000-$170,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated. We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job: we are a fully-remote company with an open vacation policy. To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves . #LI-DNI About Automattic Now in our 20th year , we’re the people behind WordPress.com , WooCommerce , Beeper , Tumblr , Simplenote , Jetpack , Longreads , Day One , PocketCasts , and more. We believe in making the web a better place. We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We believe in Open Source , and the vast majority of our work is available under the GPL . Automattic is a Most Loved Company , an Equal Opportunity employer, and Disability Confident Committed . ( Here’s what that might mean for you .) If you need accommodations during the application or interview process, please fill out this form . We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups . You can track your application status and more at MyGreenhouse . To learn about how we handle your data, please review our Job Applicant & Candidate Privacy Notice and our Privacy Policy . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here . Automattic participates in the E-Verify program in certain locations, as required by law .

Location: Home Based - APAC Job Description Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring an Embedded Linux Field Engineer for Devices/IoT to expand our reach in mission-critical industries such as Automotive, Medical Devices, Industrial Systems, Robotics, and Telco, as well as Consumer Electronics. We are looking for candidates who are accomplished Linux plumbers. If you are someone passionate about Linux, who knows the plumbing of the OS inside and out, who is proficient with distribution packaging, software design, system debugging, and bringing customer's ideas to life, then please keep on reading - this may be a uniquely exciting opportunity for you. The server edition of Ubuntu is already very widely used in connected devices and industrial PC's. Our newer edition of Ubuntu for IoT, called Ubuntu Core, represents the state of the art in security and resilience for high end appliances and equipment. Our customers include global brands in consumer and industrial electronics as well as automotive and robotics. We continue to expand our range of offerings to bring our security, management and developer experience to the smallest Linux environments and devices. We recently added a real-time Linux capability and are working towards a range of certifications for these offerings. Together, this portfolio is Linux reinvented for optimal reliability, security, developer productivity and footprint. This career opportunity requires a unique blend of skills. Successful candidates will know Linux well and be proficient coders and scripters. They will have experience of low-level Linux boot, BIOS, firmware and embedded software development methodologies. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also dedicated team players that take pride in team and company wins. We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true. Location: This role will be based remotely in Japan (preferably in Tokyo or Osaka area) What your day will look like Engage customers during presales to gather requirements and explain our technology Elaborate solutions to be proposed to prospective clients Participate to the delivery of select projects related to Embedded Linux Convey market requirements to key stakeholders in our organization, and sometimes participate to the development or refining of generic solutions to unlock market potential Be both a customer advocate and a trusted advisor to Canonical What we are looking for in you Bachelors degree in Computer Science or related technical field Extensive Linux experience - Debian or Ubuntu preferred Solid embedded Linux experience (Yocto, Buildroot...) or RTOS Fluency in at least one of Golang, Python, C, C++, or Rust Professional written and spoken English in addition to the local language Excellent communication and presentation skills Result-oriented, ability to multi-task A personal drive to meet commitments An humble learner and quick study Albeit many projects can be done remotely, the successful candidate will be willing to  travel up to 30% of the time for customer meetings, company events, and conferences For positions in Japan and Korea, the successful candidates will also be able to speak and write the local language at a professional level. Additional skills that you might also bring Experience with customer engagements a plus, but not a requirement What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home Based - Americas; Home Based - APAC; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. Canonical is building a new generation of Ubuntu-based container images to simplify open-source application deployment across the world. These container images will be free to use with long-term security commitments, and engineered for performance, security and usability. As with Ubuntu, we will work in the open and welcome community participation. In this role, you’ll be building and maintaining an ever-growing portfolio of container images while working with multiple teams, both inside and outside Canonical, to ensure these are of the highest quality and offer a seamless Ubuntu user experience. You will also be highly involved in the implementation and maintenance of the Continuous Integration and Continuous Delivery automation around these container images, for which you are expected to demonstrate deep insights into container-based DevOps. You will be contributing to fast-moving products like Rocks ( OCI images ) and thus have the chance to help steer and consolidate this growing team. You’ll gain experience with numerous container technologies and open source projects, where your feedback and contributions will be critical to driving widespread container adoption. As an engineer, your seniority will be based on your software development background and ability to lead junior team members. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical. This is an exciting opportunity for experienced software engineers looking for a place to leave their mark, who are passionate about shaping an open source product with the highest quality, with and for the community! **Location**: EMEA This role entails Build robust, scalable, leading-edge container images Work on automated CI/CD processes for building, testing and publishing our container images Write tools and tests for assessing security compliance and cloud-native compatibility Participate in strong engineering process through code and architectural review Contribute, both as a user and developer, to the improvement of our Python- and Go-based container-building tools Provide technical feedback for the team’s decision-making process Engage with the open-source community as a subject-matter expert Grow our knowledge base and write documentation Work in a collaborative, agile and globally distributed environment Mentor and help hiring Work from home with global travel up to 15% for internal and external events What we are looking for in you You are knowledgeable and passionate about software development You are a team player and have experience in collaborative development You have worked with CI/CD systems (e.g. Jenkins, GitHub Actions, Concourse CI, etc.) You are familiar with GitOps principles and workflows You have a track record of delivering timely, high-quality software You have experience building container images You master at least one container management/orchestration tool (e.g. Docker, Kubernetes, etc.) You have experience with Python You are experienced with Linux systems administration and package management You have strong written and verbal communication skills to convey technical concepts You bring clarity to technical and engineering discussions You are someone who strongly believes that sharing is caring, and knowledge is power Your skills range from those of a Graduate to a mid-senior Software Engineer You have a Bachelor’s or equivalent in Computer Science, STEM or a similar degree What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote