Вакансии

Location: Mapbox Helsinki Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO The Navigation Native team builds the high-performance C++ engine that serves as the "brain" of our Navigation SDKs. This library runs directly on end-user systems (on-board), powering everything from mobile apps to in-vehicle infotainment systems for partners like BMW, Porsche, and Zeekr. We solve the fundamental challenges of movement: transforming noisy GPS/IMU data into precise map-matching, managing complex road-network graphs, supporting routes and alternatives, tracking progress along a route, and providing "Electronic Horizon" capabilities for ADAS. Our work happens at the edge, supporting location frequencies up to 10Hz and ensuring a seamless experience even in tunnels or dense urban canyons. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO We are looking for smart, fast-learning engineers who care as much about proving that navigation works as about making it work. As an SDE(T), you will: - Build and maintain the unit, integration, and functional test architecture for a C++17 library, and the CMake and CI pipelines that run it. - Turn real-world location recordings into regression tests, and define the quality metrics for map-matching, routing, and route-following. - Keep the quality signal fast and trustworthy: eliminate flaky tests, run sanitizer and performance builds, and track coverage. - Build AI-driven test tooling: agent-based test generation, automated dogfooding and triage, and AI-assisted PR review. - Partner with feature engineers on testability and review designs for how they will be verified. - Thoughtfully leverage AI tools in your workflow and set the standard for how the team uses them.  WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  Solid C++17 proficiency: comfortable writing test code and tooling, reading production code, and debugging with sanitizers and profilers. Python or similar for harnesses and analysis. - Proven experience building test infrastructure for a large native codebase: test frameworks, CMake, and CI systems. - A data-driven mindset: you define metrics, build the tooling to measure them, and use them to argue for or against a change. - Experience diagnosing hard-to-reproduce failures: flakiness, platform-specific behavior, memory and threading bugs. - Strong English skills, with the ability to explain test results, risk, and trade-offs to peers and stakeholders. Would be a Plus - Familiarity with navigation concepts (map matching, dead reckoning, route progress, or Electronic Horizon). - Experience with replay- or simulation-based testing using real sensor and GPS data. - Hands-on experience building AI- or agent-based developer tooling for testing, code review, or triage. - Experience with coverage tooling, performance benchmarking, or testing SDKs through generated bindings. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth. - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.  We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: London Workplace: Remote Coder is looking for a Senior Sales Development Representative (SDR) to fuel our growth by generating qualified pipeline for our Enterprise Account Managers. You’ll help bring Coder’s Environment-as-a-Service platform to some of the world’s largest companies that are adopting AI-driven development at scale. This role is all about creating opportunities: finding and engaging the right prospects, uncovering the pain points Coder can help with, and setting up qualification calls that set our EAMs up for success. You’ll play a critical role in driving Coder’s outbound motion and helping large organizations build software faster, more securely, and at scale through the collaboration of AI coding agents and human developers.   What you’ll do here - Generate qualified opportunities for EAMs through targeted outbound prospecting - Conduct multi-channel outreach across phone, email, and LinkedIn using tools like SalesLoft, Sales Navigator, ZoomInfo, 6sense, and Nooks - Research target accounts and key personas to craft personalized and value-driven messaging - Set up qualification calls for EAMs to run and advance through the sales cycle - Work closely with EAMs to strategize account outreach and hand off qualified opportunities seamlessly - Maintain accurate activity and lead data in CRM and engagement platforms - Collaborate with marketing to align messaging and campaigns to drive higher response rates - Stay sharp on developer tooling, platform engineering, and AI-driven development trends to speak credibly with prospects   What we’re looking for - 1-3 years in outbound SDR or BDR roles within SaaS or developer-focused technology companies - Proven ability to generate pipeline through outbound cold calling, emailing, and social selling - Experience with SalesLoft, LinkedIn Sales Navigator, ZoomInfo, 6sense, and similar prospecting tools - Strong written and verbal communication skills; able to clearly articulate technical value propositions - Grit, curiosity, and the ability to handle rejection while maintaining a positive, proactive mindset - Highly organized and self-motivated with a focus on measurable goals and continuous improvement - Eagerness to learn about developer tools, DevOps, platform engineering, and AI workflows   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Prior experience selling into engineering or DevOps personas - Familiarity with AI and GenAI developer tools - Knowledge of open source ecosystems or cloud-native technologies - Experience collaborating closely with Account Executives in an enterprise sales motion ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Before a model, feature, or workflow reaches Harvey customers, lawyers evaluate and grade its output. The Evaluation Operations function orchestrates this process, partnering closely with Harvey's Legal Product Architect team as they scope and answer relevant research questions informing key product decisions. You will be one of those lawyers. As a Contract Attorney, you will have the unique opportunity to work with Harvey's pre-release environments and test features before they ship, often on tight timelines. The work is not client-facing and involves no representation, court appearances, or business development. WHAT YOU'LL DO - Compare different AI-generated outputs for the same legal task (e.g., a memo, a contract redline, a research answer) and evaluate output quality against a written rubric. - Test new product features end-to-end in a pre-release environment and provide qualitative feedback based on your legal experience. - Review and assess grading rubrics for accuracy and completion. - Build evaluation datasets that include realistic legal queries, contract markups, and/or synthetic legal documents. Most projects run between 2 and 20 hours over multiple days. Some require feedback within 24-48 hours of the request. You may decline any project. WHAT YOU HAVE - JD and an active license to practice in at least one U.S. jurisdiction. - 3+ years of practice experience at an AmLaw 100 or comparable firm, or in an in-house legal department. - Experience in either commercial litigation or transactional law. - Experience using AI tools in professional or daily life. - Clear, concise legal writing and the ability to express your reasoning in plain language. - Availability to pick up short-notice projects and occasionally work over weekends. Nice To Have - Experience using Harvey or another legal AI tool in practice. - Prior experience grading, annotating, and/or reviewing AI outputs. - For litigators: Lexis or Westlaw proficiency and cite-checking experience. - A combination of law-firm and in-house experience. ENGAGEMENT DETAILS - Type: Independent contractor (1099), engaged directly by Harvey. You invoice for hours worked. - Commitment: No minimum. Work is offered per project; you accept or decline each one. - Hours and location: Remote, your own schedule, within each project's deadline. US-based. - Equipment and access: Harvey ships you a laptop and provisions a Harvey account for pre-release environments. - Term: 6 months - Not included: Benefits, client representation, court work, or business development. COMPENSATION $125 USD per hour DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal, Product Learning & Development About the job Twilio is the world’s leading customer engagement platform empowering developers to build modern communication applications and experiences designed to be trusted, simple and smart. Twilio is looking for a Principal, Product Learning & Development to bring our AI first PDLC vision to life and build the capability our product organization needs to deliver it. Reporting to the Director of Product Strategy & Operations, this role owns how our PMs get better at their craft, and how they learn to do that craft with AI. You'll build the competency model and curriculum that define "how we do product here," then go beyond curriculum by designing and shipping the internal tooling (prompt libraries, agents, PRD generators) that makes a PM measurably faster and sharper. You'll bring our AI first PDLC vision to life, partnering with product and engineering leaders to find where AI genuinely changes the work, and coaching the org through the change. Responsibilities We are looking for a leader who brings product, learning, and hands on AI expertise to help: Design and deliver the PM Academy, covering onboarding and ongoing curriculum across PRD writing, discovery, prioritization, roadmapping, and stakeholder influence, each taught with AI in the workflow. Design and help build and facilitate adoption of "PM in a box": ship internal AI tooling such as prompt libraries, agents, and PRD and research generators, as products with users, feedback loops, and adoption targets. Bring the AI first PDLC vision to life and execute against it, partnering with Product leaders to map current workflows and identify the AI and automation opportunities worth pursuing. Run cohort programs for new PMs and newly promoted PM managers, and design tailored programming for different parts of the organization rather than one generic track. Curate the internal playbooks, templates, and documentation that carry "how we do product here," and keep them current as practice changes. Facilitate workshops, office hours, and 1:1 coaching for PMs and PM leaders, building the credibility to coach senior people. Drive AI adoption across the PM org through a champion network that surfaces use cases from inside each team. Measure impact against baselines captured before rollout. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor’s degree in Business, Computer Science, a related field or equivalent practical experience. 8+ years of experience across product management, consulting, program management, L&D or enablement Experience leading programs or product operations for B2B SaaS, PaaS or equivalent Outstanding written and verbal communication that drives executional impact at scale, distilling complex detail into an executive narrative, and explaining technical concepts to audiences without technical backgrounds. Strong facilitation, and the ability to build trust and exchange ideas across organizational boundaries in service of a broader goal. Excellent problem solving and organizational skills. Ability to thrive in a fast paced, evolving, ambiguous environment, with a default to action in order to adapt quickly to changing priorities and requirements. Desired: Master’s in computer science or engineering or business administration Hands on experience building AI agents, automated workflows, and internal tooling. Experience leading change management in B2B SaaS Location This role will be remote and based in the USA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5-10% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 - $ 213,900 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 - $226,500 Based in the San Francisco Bay area, California: $201,280 - $251,600 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until March 1, 2027, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Business Assistant to join our Office of the CFO team, based in London. In this role, you’ll support the CFO in key leadership, board, and finance meetings by preparing materials in advance, documenting decisions and actions, and coordinating follow-through afterwards. It's a content-focused role: you'll need a genuine working understanding of finance to follow the discussion, not just log who said what. WHAT YOU’LL DO Meeting Support & Follow-Through - Join key meetings: Join meetings alongside the CFO — leadership, board, and finance-function meetings — capturing accurate notes and the decisions that come out of them. - Own the follow-up: Turn discussions into clear, assigned action items and drive them to completion, chasing owners and flagging slippage before it becomes a problem. - Track outstanding items: Maintain a live view of open actions and decisions across the CFO's meeting cadence, escalating blockers to the CFO directly. Pre-Meeting Preparation - Prepare pre-reads: Prepare pre-reads, briefing packs, and agendas ahead of key meetings, pulling together relevant background, data, and context. - Coordinate stakeholder input: Coordinate input from stakeholders across Finance — Controllership, Tax, Treasury, FP&A — so the CFO walks in fully briefed. - Anticipate what's needed: Proactively anticipate what the CFO will need for a given meeting, rather than waiting to be asked. Finance-Literate Business Support - Follow technical discussions: Apply a working understanding of financial concepts and terminology to accurately capture and summarise technical finance discussions. - Sanity-check materials: Review financial reports, decks, and models before they reach the CFO, spotting errors, inconsistencies, or omissions. - Partner across finance: Partner with Controllership, Tax, Treasury, and FP&A to gather the input and context needed for meetings and follow-ups. Communication & Organisation - Produce clear meeting notes: Produce clear, well-structured meeting notes and summaries, distributed promptly to attendees. - Maintain a master tracker: Maintain a single source of truth for action items, decisions, and deadlines across the CFO's meeting cadence. - Handle information with discretion: Manage confidential and sensitive business and financial information with sound judgement. WHAT WE’RE LOOKING FOR - Proven experience as an EA, business assistant, or similar role supporting senior executives, ideally within a finance function. - A working understanding of financial concepts and terminology (P&L, budgeting, forecasting) sufficient to follow and accurately summarise finance discussions. - Excellent note-taking and written communication skills, able to turn meeting discussions into clear, actionable outputs. - Strong organisational skills, with a proven ability to track and drive multiple action items to completion. - Comfortable preparing pre-meeting materials, pulling together data and context from multiple stakeholders. - High level of discretion when handling confidential business and financial information. - Proactive, detail-oriented, and comfortable operating in a fast-paced, high-growth environment. - Strong proficiency with everyday productivity tools (Microsoft Office / Google Workspace). - Bachelor's degree in finance, business, or a related field is a plus. - Experience supporting a CFO or finance leadership team specifically is a strong plus. - Experience in a venture-backed, high-growth startup or scale-up is a plus. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Dublin, Dublin, Ireland 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 As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Demand Generation across EMEA and APAC. You'll be the right hand to the Director of Global Enterprise Demand, driving lead generation to ensure we have the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in EMEA and APAC: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages. This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work. Location and work model: In person in Dublin, Ireland. What You’ll Do You'll co-own the EMEA and APAC enterprise pipeline number alongside the EMEA marketing team, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build: Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers. Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads. A weekly review loop where the system and you assess what worked and improve it. You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across EMEA and APAC. What success looks like 6 months: target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL. 12 months: the engine runs across the EMEA and APAC Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked. Skills We’re Looking For Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing. Experience running multi-lifecycle stage campaigns targeting enterprise buying committees Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus. You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself. #LI-LA1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range €99.552 — €124.440 EUR 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: London, England, United Kingdom 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 As Fivetran scales its Enterprise business, we're looking for a senior individual contributor – with a strong bias towards AI automation – to own the International Demand Generation across EMEA and APAC. You'll be the right hand to the Director of Global Enterprise Demand, driving lead generation to ensure we have the touchpoints and MQL volumes needed to hit Enterprise sales targets. You’ll build and run the always-on 1-to-many ABM engine for Enterprise accounts in EMEA and APAC: agent-driven workflows that turn account signals (intent, tech stack, CRM stage) into campaigns, creative, and landing pages. This is a strategy-and-execution role: you'll set the plan and roll up your sleeves with the team to make it work. Location and work model: Hybrid in London, UK. What You’ll Do You'll co-own the EMEA and APAC enterprise pipeline number alongside the EMEA marketing team, with accountability for lead generation, territory hydration, and the touchpoint and MQL volumes needed to support sales targets. You'll execute account-specific programs to drive account engagement, lead generation and monitor the funnel from touchpoints through qualified opportunities and pipeline. You will own key paid channels, like LinkedIn and Meta, to drive these outcomes. Things you will build: Agentic workflows, using Claude or similar harnesses, that creates, launches, and optimizes LinkedIn and Meta campaigns across target-account tiers. Connections between ad platforms, Salesforce, and signal sources such as intent and tech-stack data, so audiences and creative update without manual list uploads. A weekly review loop where the system and you assess what worked and improve it. You'll work across lifecycle marketing, customer marketing, ABM, product marketing, and regional teams to orchestrate integrated programs. Partnering with the Director of Global Demand and Regional Marketing and ABM leaders, you'll improve the demand operating model across EMEA and APAC. What success looks like 6 months: target-account tiers and signals defined; an agent-assisted campaign workflow live for a first segment, with measurable gains in launch speed and cost per touchpoint or MQL. 12 months: the engine runs across the EMEA and APAC Enterprise account list with BDR handoff, and it improves itself through a regular review loop. Pipeline influence and BDR conversion on engaged accounts are tracked. Skills We’re Looking For Deep, hands-on expertise in paid media and account-based marketing for enterprise buyers (LinkedIn required), plus experience in at least one of lifecycle, customer, or product marketing. Experience running multi-lifecycle stage campaigns targeting enterprise buying committees Proficiency in using LLM harnesses to automate marketing tasks, and improve marketing performance Strong business judgment and a clear point of view, with the confidence to challenge senior stakeholders constructively and build alignment around difficult tradeoffs. Excellent communication skills, specifically in communicating business outcomes, headwinds and tailwinds You’ve built and shipped agentic or automated workflows in production, not just prompts: connecting APIs or MCP servers, defining guardrails, and measuring impact. Hands-on familiarity with CRM data (Salesforce), ad platform APIs, and signal tools is a strong plus. You're comfortable operating as a senior IC who leads through influence rather than headcount. You should be comfortable galvanizing support behind an initiative when a number is at risk. You think in systems, you're fluent in the metrics that matter, and you move fluidly between setting strategy and executing the work yourself. #LI-LA1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range £96,398 — £120,497 GBP 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: Remote Spain At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The International Accelerator Engineering team is growing, and we're looking for a Senior Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest. Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale. If you want to build something new and operate it at scale – come join us! What You'll Do: You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. On-Call Rotation - There would be an on-call rotation for this role as a requirement. What We Look For: · You have a total of 4+ years of experience as a software engineer. · You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes. · You have experience shipping web apps using declarative UI frameworks like React or Vue. - You efficiently use AI to assist you to deliver high quality products on a daily basis · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Pay Grade - N Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). ESP base pay range per year: €86,000 - €122,000 Additional benefits include: • Flexible Spending Wallets for tech, food and lifestyle • Away Days - wellness days to take off work and recharge • Learning & Development programs • Parental benefits • Employee Resource & Community Groups Location - Remote Spain We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Responsibilities: — Define and lead the strategy and roadmap for fraud prevention, covering account integrity, money movement, decisions, controls, and customer protection experiences. — Develop and implement a strategic vision to reduce fraud and enhance risk management, including managing holds, limit structures, step-up verification, and friction points. — Design user journeys that balance risk-based friction with minimal disruption to legitimate users. — Build operational and platform tools to support risk and support teams in managing case volumes and exceptions. — Collaborate with data science teams to develop, deploy, and improve machine learning models continuously. — Establish and monitor metrics to evaluate risk effectiveness, operational efficiency, and customer experience impact. — Support scaling of Mercury's risk capabilities across expanding product offerings. Requirements: — Over 7 years of product management experience, specifically in fraud or risk within banking or fintech sectors. — Strong customer empathy and understanding of how risk friction affects user experience, growth, and retention. — Experience with complex automated decision systems, rules, machine learning models, and real-time data pipelines. — Proficiency in analytics and the ability to interpret performance metrics and trade-offs in ML models. — Proven cross-functional leadership skills, especially in balancing risk, compliance, and customer experience. — Excellent communication skills to translate complex risk concepts into actionable product strategies. — Ability to make balanced decisions amid ambiguity and imperfect information. Benefits: — Competitive total rewards package including base salary, equity (stock options/RSUs), and benefits. — Salary ranges are competitive within SaaS and fintech industries and adjusted based on experience, expertise, location, and internal equity. Additional Information: — Work location options include on-site in San Francisco, New York, Portland (US), or remote within Canada or the United States. — Mercury is a fintech company providing banking platforms and financial services for startups and small businesses. — Mercury is not an FDIC-insured bank; banking services are provided through partner institutions. — Mercury is an Equal Employment Opportunity employer committed to diversity and inclusion, providing accommodations for applicants with disabilities or special needs.

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity Grafana Labs is looking for a Major Account Executive based in Germany who will be responsible for managing some of our largest enterprise accounts in Central Europe. You will identify, nurture and close opportunities within your assigned install base, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. What You’ll Be Doing Identify new opportunities to expand Grafana usage within a set of current customers Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 6+ Years of experience in infrastructure technology sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Fluent in English & German (both spoken & written). Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Reward In Germany, the OTE compensation range for this role is EUR 280,000 - EUR 293,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Businesses need a clear, reliable way to work with their vendors, from collecting information during onboarding to keeping vendor records accurate as they purchase and pay. Vendors need a straightforward way to provide details and stay connected with the businesses they serve. Ramp’s Vendor Management & Portal team builds the systems behind those experiences. We’re looking for a Senior Backend Engineer to make vendor information easier to collect, connect, and use across Ramp. You’ll work on services that support vendor profiles, onboarding requests, and the vendor portal, where identity, permissions, and data accuracy matter. You’ll own meaningful projects from design through launch and partner with product, design, and other engineering teams to make these workflows dependable for both businesses and vendors. WHAT YOU’LL DO - Design and build backend services and APIs for vendor profiles, onboarding, and portal workflows. - Improve how vendor records and portal accounts are matched and connected, reducing duplicate work and making shared information more reliable. - Build workflows for collecting and updating vendor information, including payment and tax details, with clear permissions and accurate data handling. - Make vendor data available consistently across the products that depend on it, including procurement and bill pay. - Own projects from problem definition and technical design through launch, monitoring, and iteration. - Raise the quality of the team’s systems through thoughtful design reviews, code reviews, and mentorship. WHAT YOU’LL NEED - Experience designing, building, and operating production backend systems, including APIs, data models, and asynchronous workflows. - Strong judgment about data integrity, access controls, reliability, and the tradeoffs involved in evolving existing systems. - A track record of independently leading complex engineering projects from design to production. - Product sense and curiosity about how businesses and vendors actually use the workflows you build. - Clear communication and a collaborative approach to working across engineering, product, and design. NICE TO HAVES - Experience with vendor management, procurement, accounts payable, or other business finance workflows. - Experience with identity matching, deduplication, or sharing data safely across accounts and products. - Experience improving operational visibility and reliability in systems that handle sensitive business information. 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: London, United Kingdom Workplace: hybrid Portfolio Finance Manager About Global University Systems Global University Systems (GUS) is one of the world's leading education groups, bringing together a diverse network of higher education institutions, academic partners and student recruitment organisations across multiple countries. With more than 11,000 colleagues and 36 academic institutions worldwide, we combine global scale with an entrepreneurial mindset, creating opportunities to innovate, grow and make an impact. As an ambitious international organisation, we continue to evolve, invest and expand, giving our people the chance to help shape what comes next and to change lives through education. The Role We are looking for a commercially minded Portfolio Finance Manager to join our growing Value Creation team. This is a highly visible role supporting newly acquired institutions as they join the GUS portfolio. Working closely with asset CFOs, institutional leadership teams and senior stakeholders across GUS, you will help build financial capability, improve performance visibility and support strategic decision-making during a critical phase of integration and growth. This is not a traditional corporate finance role. We operate in a fast-paced, acquisition-led environment where no two assets look the same. You'll work across multiple institutions, helping translate financial information into action, supporting long-term planning and ensuring leaders have the insight they need to make informed decisions. The role combines financial planning, business partnering, performance management and strategic finance, making it ideal for someone who enjoys variety, ownership and exposure to senior stakeholders. What you'll be doing Acting as the primary finance partner to newly acquired institutions as they transition into the GUS portfolio. Building trusted relationships with asset CFOs, finance teams and institutional leadership teams. Supporting the development of annual budgets, rolling forecasts and longer-term strategic plans. Building and maintaining 3-5 year financial models to support business planning and value creation initiatives. Analysing performance against budgets, forecasts and investment cases, identifying key risks and opportunities. Producing clear financial insight and recommendations for senior leadership and investment stakeholders. Supporting monthly P&L, balance sheet and cash flow reporting across portfolio institutions. Developing investment appraisals, business cases and capital expenditure proposals. Helping institutions strengthen financial planning and commercial finance capabilities where required. Supporting the transition of acquired assets into GUS reporting, governance and performance management processes. Working alongside Group Finance, Asset Management and Value Creation teams to drive performance improvements across the portfolio. Contributing to acquisition integration activities and post-acquisition planning where required. What we're looking for You will be an experienced finance professional who combines strong technical capability with excellent commercial judgement and stakeholder management skills. Ideally, you will bring: A professional accounting qualification (ACA, ACCA or CIMA) or equivalent finance experience. Experience within private equity-backed businesses, buy-and-build organisations, consolidators or acquisitive environments. Strong FP&A, commercial finance, group finance or portfolio finance experience. Experience building budgets, forecasts, financial models and strategic plans. The ability to translate complex financial information into practical business recommendations. Strong stakeholder management skills and confidence working with senior leaders. A proactive, hands-on approach and the ability to operate with ambiguity. Experience supporting business transformation, integration or value creation initiatives. Strong analytical and problem-solving capabilities. Advanced Excel and financial modelling skills. Experience within education is not essential. We are particularly interested in professionals who have worked in environments where acquiring, integrating and improving businesses is a core part of the operating model. What you'll gain This is an opportunity to join a newly established Value Creation function at an exciting stage of its development. You'll work directly with senior leaders across GUS, gain exposure to acquisitions and portfolio management, and play a key role in helping institutions realise their growth potential. What we offer: Hybrid working - most roles offer hybrid or flexible arrangements to support work-life balance. Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Private Medical Insurance (T&C's apply) - prioritising your wellbeing with speedy access to healthcare whenever you need support. 25 days annual leave plus bank holidays - time to rest, recharge, and balance life beyond work. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Eye Care Vouchers - support for regular eye tests and essential eyewear. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. Refer a Friend Scheme for staff members (T&C's apply) - earn rewards for helping us bring great talent into the team If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: London, United Kingdom Workplace: hybrid Portfolio Finance Manager About Global University Systems Global University Systems (GUS) is one of the world's leading education groups, bringing together a diverse network of higher education institutions, academic partners and student recruitment organisations across multiple countries. With more than 11,000 colleagues and 36 academic institutions worldwide, we combine global scale with an entrepreneurial mindset, creating opportunities to innovate, grow and make an impact. As an ambitious international organisation, we continue to evolve, invest and expand, giving our people the chance to help shape what comes next and to change lives through education. The Role We are looking for a commercially minded Portfolio Finance Manager to join our growing Value Creation team. This is a highly visible role supporting newly acquired institutions as they join the GUS portfolio. Working closely with asset CFOs, institutional leadership teams and senior stakeholders across GUS, you will help build financial capability, improve performance visibility and support strategic decision-making during a critical phase of integration and growth. This is not a traditional corporate finance role. We operate in a fast-paced, acquisition-led environment where no two assets look the same. You'll work across multiple institutions, helping translate financial information into action, supporting long-term planning and ensuring leaders have the insight they need to make informed decisions. The role combines financial planning, business partnering, performance management and strategic finance, making it ideal for someone who enjoys variety, ownership and exposure to senior stakeholders. What you'll be doing Acting as the primary finance partner to newly acquired institutions as they transition into the GUS portfolio. Building trusted relationships with asset CFOs, finance teams and institutional leadership teams. Supporting the development of annual budgets, rolling forecasts and longer-term strategic plans. Building and maintaining 3-5 year financial models to support business planning and value creation initiatives. Analysing performance against budgets, forecasts and investment cases, identifying key risks and opportunities. Producing clear financial insight and recommendations for senior leadership and investment stakeholders. Supporting monthly P&L, balance sheet and cash flow reporting across portfolio institutions. Developing investment appraisals, business cases and capital expenditure proposals. Helping institutions strengthen financial planning and commercial finance capabilities where required. Supporting the transition of acquired assets into GUS reporting, governance and performance management processes. Working alongside Group Finance, Asset Management and Value Creation teams to drive performance improvements across the portfolio. Contributing to acquisition integration activities and post-acquisition planning where required. What we're looking for You will be an experienced finance professional who combines strong technical capability with excellent commercial judgement and stakeholder management skills. Ideally, you will bring: A professional accounting qualification (ACA, ACCA or CIMA) or equivalent finance experience. Experience within private equity-backed businesses, buy-and-build organisations, consolidators or acquisitive environments. Strong FP&A, commercial finance, group finance or portfolio finance experience. Experience building budgets, forecasts, financial models and strategic plans. The ability to translate complex financial information into practical business recommendations. Strong stakeholder management skills and confidence working with senior leaders. A proactive, hands-on approach and the ability to operate with ambiguity. Experience supporting business transformation, integration or value creation initiatives. Strong analytical and problem-solving capabilities. Advanced Excel and financial modelling skills. Experience within education is not essential. We are particularly interested in professionals who have worked in environments where acquiring, integrating and improving businesses is a core part of the operating model. What you'll gain This is an opportunity to join a newly established Value Creation function at an exciting stage of its development. You'll work directly with senior leaders across GUS, gain exposure to acquisitions and portfolio management, and play a key role in helping institutions realise their growth potential. What we offer: Hybrid working - most roles offer hybrid or flexible arrangements to support work-life balance. Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Private Medical Insurance (T&C's apply) - prioritising your wellbeing with speedy access to healthcare whenever you need support. 25 days annual leave plus bank holidays - time to rest, recharge, and balance life beyond work. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Eye Care Vouchers - support for regular eye tests and essential eyewear. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. Refer a Friend Scheme for staff members (T&C's apply) - earn rewards for helping us bring great talent into the team If you feel this is the role you are looking for, please click below to apply for the role! We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. *This position is remote for candidates living in North America.   Position Summary:   Your focus is on providing an exceptional customer experience while handling technical queries and complaints for our cloud-based healthcare solutions. We are looking for someone who can prioritize daily tasks to resolve customer problems, independently or with others, in a timely manner using various communication channels. To do well in this role you need to be able to remain calm while trouble-shooting simple to moderately complex system issues with customers. As well, a strong understanding of administrative tasks and workflows for long term care and medical facilities is key to your success.   Reporting to the Sr Manager, Customer Support    Key Responsibilities:   •    Develop an in-depth understanding of the Billing modules used to support processes and patient care in Senior Living facilities •    As a member of the Customer Support Department, your main area of responsibility will be to resolve customer issues via phone, email, chat or remote sessions •    Work effectively and professionally with other departments to resolve issues •    Document user problems through the use of an online problem management system, Salesforce’s Service Cloud •    Coordinate and execute internal, external, and or internal/external meetings to resolve problems •    Stay current with product releases, AI tools, and emerging technologies relevant to healthcare SaaS •   Be available to work between the hours of 8am to 8pm weekdays, occasional weekends, and holidays as necessary      Your Key Strengths:    • Degree in Healthcare, IT, Engineering, Business Solutions (Preferred, not required)  •    Excellent interpersonal, customer support, and problem-solving skills •    Demonstrated ability to multi-task, prioritize, and manage customer expectations in an extremely fast paced and high demand environment •    Strong communication, relationship management and documentation skills •    High degree of computer literacy and excellent typing skills •    Experience providing web-based application software support •    Prior long term care experience working in a business office role •    Prior experience using PointClickCare (Preferred, Not required) #LI-MG1 #LI-Remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. US: At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $60,000 to $70,000 + Performance based bonus, and fulltime benefits.  Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations.   Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   Overtime Eligible

Location: Spain; Romania; Greece Workplace: remote About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  Job Description Summary   In this exciting position, the Multimedia Content Reviewer will be responsible for writing, adapting, reviewing, and evaluating a wide range of linguistic and multimedia content in Italian, ensuring the highest standards of linguistic accuracy, cultural relevance, and overall quality for customers using the world's foremost multimedia platforms.  The role combines creative and editorial expertise with analytical and quality evaluation skills, covering traditional localization work as well as emerging content types, including AI-generated content, linguistic annotation, and structured content evaluations.  With time, the Multimedia Content Reviewer will become the cultural ambassador for their language market and will be expected to produce fully localized content, flag potential cultural issues, and articulate suggestions to make all content appropriate and relevant for the target market.  The ideal candidate possesses a background in journalism, editorial content, copywriting, or a related field, has proven creative writing skills, and a keen attention to detail. They should also demonstrate strong critical thinking, sound editorial judgment, and the flexibility to navigate different workflows, guidelines, and content evaluation methodologies.  In addition, we're seeking candidates who are passionate about music, film, sports, gaming, and technology, and have a knack for iOS and macOS devices. Main Duties Localize, translate, and adapt content of various categories (i.e. multimedia, legal, technical, marketing, sports, entertainment, health and wellness, and other digital content) while adhering to writing style guides and project-specific guidelines. Write new copy for a range of multimedia products such as music, TV, film, sports, apps, video on-demand, game subscription services, and more. Copy-edit and fact-check content to ensure accuracy, clarity, consistency, and cultural relevance. Perform LQA (Localization QA) testing of content published on live platforms (music and app descriptions, marketing material, and marketing campaigns). Evaluate human-written and AI-generated content for linguistic accuracy, fluency, relevance, consistency, and adherence to project-specific quality standards. Perform linguistic annotation, content classification, and structured evaluation tasks using predefined guidelines, rating scales, and quality criteria. Identify and document errors, inconsistencies, and quality issues, providing clear, actionable feedback and supporting rationale for evaluation decisions. Conduct market-specific research on local content treatment, audience preferences, cultural nuances, product and terminology trends, and best localization practices for the target audience. Report on data and/or assets across a broad scope of media and content types, ensuring accuracy, consistency, and compliance with project requirements. Collaborate with global language teams via virtual meetings and email on content review tasks to align on terminology, style, quality standards, evaluation criteria, and market-specific insights. Requirements BS/BA and 2+ years of work experience in journalism, copywriting, editing, digital media, content production, or a related field. Experience in translation and localization of multimedia content or demonstrated experience adapting content for Brazilian audiences. Native-level proficiency in Brazilian Portuguese, with excellent grammar, writing, editing, and linguistic judgment skills. Ability to quickly detect issues and inconsistencies across large volumes of content and make sound judgment calls based on the information at hand. Ability to interpret and consistently apply detailed guidelines, rating scales, and evaluation frameworks across different projects. Familiarity with AI-generated content, linguistic annotation, content evaluation, or data quality assessment is a plus. Is in tune with and has a wide range of knowledge of music, film, TV, sports, gaming, technology, and Brazilian pop culture. Has the ability to own linguistic quality for the Brazilian Portuguese market and make confident linguistic decisions. Must be highly detail-oriented with the ability to multitask, prioritize, and meet deadlines. Fluency in written and verbal English. Strong computer literacy; knowledge of iOS/macOS systems is a plus. Ability to work independently and remotely. Collaborative; enjoys teamwork in a multicultural environment and is open to feedback, calibration, and continuous learning.

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 814,000 - SEK 1,017,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Germany, the base compensation range for this role is € 100,000 - €125,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Spain, the base compensation range for this role is €85 ,000 - €107,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .