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Location: United States; Europe Workplace: Remote ABOUT MATTER LABS Matter Labs invented ZK rollups and built the first one on Ethereum: six years in production, over a billion transactions processed, over four billion dollars in value locked. We want programmable money to become a foundation for the next financial system, with institutions able to shape the services they provide and keep authority as their infrastructure evolves. Prividium is our platform for institutions to build and operate digital asset businesses, with privacy and under their own rules. Prividium Commander is the control plane for digital asset services: an institution decides who can do what and tracks the resulting activity, on Prividium Ledger or on the chains it already runs. Prividium Ledger is a private blockchain with publicly verifiable execution. Prividium Connect gives institutions private, bridgeless transactions across blockchains. Prividium Ledger runs in production for a number of institutional customers. Keeping those ledgers reliable, and making the next ten cheaper to operate than the first four, is the work this role is hired for. Remote and global, few approvals, a CEO you can reach, unrestricted access to the best AI tools and the expectation that you use them, and a hiring bar of hell yes or no. THE ROLE You join the Production Unit, the three-person team that owns ZKsync OS in production for our customers: detection, incidents, rollouts and the service objectives each customer is measured against. Today the work is mostly reactive: on-call, incidents, rollouts, RCAs. The job is to change that. Every page and every manual step is a candidate for a fix in the server, a better alert or an automation. About 30 percent of your time goes to code now, and that share grows as the reactive load shrinks. You own the environments you are assigned end to end: whether a change is safe to roll out, how an incident gets restored and explained, and whether the customer's service objectives are being met. Component teams own their code; you read it, find the cause, and land the fix. WHAT YOU WILL DO: - Run production for institutional customers. Hold the First Responder rotation, coordinate incidents to restoration, and write the RCA the customer's engineers read. - Decide what ships. Go/no-go on changes to your environments, verification before rollout and validation after, including executing sequencer rollouts. - Remove the cause. Turn pages, runbooks and manual steps into fixes in the sequencer, provers or tooling, so the same incident does not come back. - Measure the service. Own the SLA card for your customers, measured monthly against their contracts. - Finish across teams. Drive diagnosis and fixes through the component teams that own the code, without waiting to be asked. - Later, support customers who run the chain themselves, where the fix has to work in someone else's hands. Within a year, on-call load in your environments is measurably lower because of what you shipped, and the unit can take on the next customer without adding people. WHAT WE LOOK FOR - You have been on-call for a system you wrote code for, and you have owned an incident from page to RCA to the fix that stopped it recurring. - You find causes in code you did not write. Strong in a systems language such as Rust, Go, C++ or Java; Rust is learnable here. - You verify before you roll out and you can say which changes are reversible and which are not. - You have run production for a service with external customers, and your incident notices and RCAs were read by their engineers. - You make other teams finish the work without escalating. - You are willing to hold a 24/7 rotation. Nice to have: rollup or node operations experience (sequencer, prover, L1 settlement); Ethereum execution client internals; tooling you built that other teams adopted. If you meet most of this and the rest is learnable, apply anyway. NOT THIS ROLE This is not a Forward Deployed Engineer role, which builds and deploys for a customer from discovery to production readiness; this role operates what is in production. It is not DevOps (clusters, network, L1 nodes, backups and disaster recovery stay with DevOps), not partner management, and not a people-management role. COMPENSATION AND WORK MODEL - Base salary range: USD 192,000 to 230,000 per year. Where an offer lands in the range depends on demonstrated scope and results against the bar described above. For candidates in the EU the same range applies - Performance-based variable compensation and a long-term token incentive are additional. - Benefits (employees): medical, dental and vision from day one, global health cover for team members outside the US; 401(k) with a Safe Harbor match up to 4 percent for eligible US employees, flexible paid time off plus public holidays and two company closure weeks a year; six weeks paid parental bonding leave plus up to ten weeks paid birth recovery leave; confidential mental health support; a USD 2,000 home office stipend, a company laptop refreshed every three years, up to USD 400 a month toward coworking, and a USD 500 annual learning budget; company and team offsites. - Fully remote. You must be based in the US or the EU, with the US preferred; some of our customers whitelist the jurisdictions their operators work from, so this is a hard requirement. - Full-time, as an employee or a contractor. - 24/7 First Responder rotation shared with the Production Unit. Everyone in this role is on it. - We do not ask about your current or past pay at any stage of the process.

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE TEAM The SABR team owns the top layer of request processing for product discovery. We own the service that first receives product discovery requests (autocomplete, search, browse & recommendations) & executes the entire business logic that drives product discovery. That service also functions as a gateway to parse incoming user requests, orchestrate calls across the internal services that do the ranking and retrieval, interpret their responses, and assemble the final response the customer sees. We also own the public configuration APIs customers use to control how discovery behaves, and the MCP layer that exposes all of it to AI agents. Our team owns both platform & product components: Because of the positioning of our services, we take part in every architectural decision of our core product offering. At the same time, our goals are heavily influenced by direct customer feedback, because all product discovery-related features are either implemented in or integrated with our services. All of our services are public APIs, so interface design and backward compatibility are a constant part of the job. But most of our attention goes to keeping them fast and up: we serve up to 15k RPS, fan out to many internal services on every request, and are expected to stay available and degrade gracefully when any of them fails or slows down. The work is distributed systems in practice rather than in theory: request orchestration, failure isolation, caching, latency budgets, capacity planning, and the observability to know what is actually happening in production. The team is small enough that engineers own problems end to end, from design through on-call. ABOUT YOU You're a senior engineer who wants to own features end to end, not just close tickets. You've built and run production Python services, ideally high-traffic or latency-sensitive ones, and you've been on-call for them. You think in trade-offs: latency versus cost, a quick fix versus a durable one, a new parameter versus a public API customers can't afford to see break. You can take a feature from a rough problem statement to a design, ship it, and then make sure it behaves in production. You're comfortable leading a project with one or two other engineers and helping teammates grow along the way. When a problem is only partly defined, you ask the right questions to pin it down. When you meet an unfamiliar protocol or system, you read the spec and work out how it fits. You change your mind when someone has a better argument, and you still care about your code long after it merges. WHAT YOU WILL DO - Own the design and delivery of features and components in our services. - Design and evolve public API endpoints with backward compatibility in mind, and contribute to architecture discussions for our services. - Improve performance and reliability: find latency and failure hotspots, add the observability needed to understand them, and fix them. - Take an active part in design and code review, and mentor mid-level engineers. - Work with product, solutions/support, and other engineering teams to understand customer needs and turn them into solid technical solutions - Take part in on-call for the systems you own, and lead incident response and follow-through when things break. WHAT WE ARE LOOKING FOR TECHNICAL - Solid experience building and operating backend services in production, ideally high-traffic or low-latency ones. - Extensive Python knowledge (our primary language). - Hands-on experience with observability (metrics, logs, traces) and debugging performance issues in live systems. - Experience designing and evolving public APIs that external customers depend on. - Experience designing & implementing scalable service-oriented architectures. BEYOND THE CODE - Track record of delivering projects end to end, including leading small efforts with other engineers. - Collaborative mindset: open to feedback, and willing to change your position when someone has a better argument. - Clear written communication - design docs, RFCs, postmortems. - Good judgment about trade-offs and scope. - Comfort with ambiguity and loosely defined problems. - Ownership that extends past merge, to how the system behaves in production. NICE TO HAVE - Experience with AWS - Background in search, ranking, information retrieval, or e-commerce product discovery. - Exposure to AI/LLM-facing infrastructure (MCP, agent tooling, or similar). BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results TBD 📈 Stock options - offered in addition to the base salary 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: San Francisco, CA, USA About the role We’re looking for a People Programs Lead to own and evolve key workforce programs, including Immigration, Employer of Record (EOR), and Contingent Workforce. As part of People Operations, you’ll build scalable processes that support business needs, manage operational risk, and deliver a thoughtful experience for employees, partners, and managers. This role combines program leadership with hands-on execution. You’ll serve as the central point of accountability for your programs, partnering with Legal, Recruiting, People Partners, Payroll, Finance, Procurement, and external providers to navigate complex situations and keep work moving. As business needs evolve, you’ll take on new People programs and bring structure, clear ownership, and sustainable processes to emerging priorities. In this role, you can expect to Lead immigration operations Own the day-to-day immigration program and drive improvements across sponsorship, case initiation, renewals, employee communications, and reporting. Partner with immigration counsel and internal stakeholders to coordinate cases, track critical milestones, and escalate risks and decisions. Translate counsel’s guidance and policy changes into clear operational processes and timely communications for employees and managers. Manage vendor performance, program spend, and data accuracy while providing a high-touch experience during sensitive transitions. Own Employer of Record programs Manage EOR operations across onboarding, employment changes, and offboarding, coordinating with providers and internal partners. Establish clear processes for evaluating and implementing EOR arrangements, with appropriate Legal, Finance, Payroll, and business review. Monitor provider service quality, costs, and issue resolution to support a consistent worker and manager experience. Build and manage the Contingent Workforce program Own the operational framework for contingent workers, including intake, approvals, onboarding, extensions, and offboarding. Partner with Legal, Procurement, Finance, IT, and business leaders to establish clear requirements for worker engagement, documentation, access, and lifecycle management. Maintain visibility into the contingent workforce, including engagement dates, ownership, spend, and upcoming actions. Strengthen manager guidance and accountability to improve consistency and reduce operational gaps. Improve and scale People programs Independently lead cross-functional initiatives from problem definition through implementation, adoption, and ongoing measurement. Develop playbooks, standard operating procedures, manager resources, and employee communications that make complex programs easier to navigate. Identify opportunities for self-service, automation, and AI-enabled workflows, partnering with People Technology to implement improvements. Define program metrics, surface trends and risks, and recommend improvements based on data and stakeholder feedback. Take ownership of additional People Operations programs as business priorities emerge, establishing scope, governance, and sustainable support models. To thrive in this role, you have 5+ years experience in People Operations or People program management, with a track record of independently owning complex, cross-functional programs. 3 to 5 years of hands-on experience managing an employer-sponsored immigration program and partnering with external immigration counsel. Experience supporting EOR arrangements, contingent workforce programs, or other complex workforce operations. Strong program management skills, including the ability to define scope, manage dependencies, resolve issues, and deliver results through partners. Sound judgment when handling sensitive information, balancing competing needs, and recognizing when legal guidance or leadership decisions are needed. The ability to turn ambiguous requirements into practical processes, clear documentation, and effective communications. A continuous improvement mindset and experience using data, systems, and automation to reduce manual work and strengthen service delivery. Strong relationship-building skills and the ability to influence partners without direct authority. #LI-Onsite #LI-BE1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $123,000 — $170,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

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: Florida, FL, United States One World Global Services is looking for Remote Interpreters to join our team! As a remote interpreter, you play a significant role in facilitating communication between Cantonese/Korean and English speakers. The interpreter needs to be able to process information quickly and with accuracy in a professional manner. It is essential to ensure a quiet & secure environment. Note pads and writing utensils, glossaries, and dictionaries are useful tools. Candidate Qualifications: Fluency in English Minimum 3 months of interpretation experience. Excellent listening, retention and note taking skills to maintain a high level of accuracy. Render correct concepts and meanings according to the conventions of established interpretation protocol, avoiding omissions or additions. Ability to explain certain cultural concepts to avoid miscommunication with permission or at the request of the client. Technical Requirements: Computer or Laptop Windows 10 or higher USB Wired headset Steady wired internet connection Additional information: Remote position, interpreter works from his/her home office Ongoing training and competency opportunities Monthly payments Per minute rate

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: 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: Almaty, Kazakhstan Workplace: hybrid Grocery Storefront is a new team at inDrive. The team builds a native grocery and food shopping experience inside the inDrive super app: the iOS and Android storefront and the mobile backend-for-frontend (BFF). As an Android Engineer, you will build the Android storefront from its first version. You will work in a small team of iOS, Android, backend and QA engineers. Key Responsibilities Develop storefront screens and features in the Android app, from the catalog to the checkout Work with backend engineers on API contracts for the mobile BFF. Run A/B experiments, manage feature flags, and implement analytics events Do code reviews, write tests, and co-design solutions with backend and iOS engineers Build with AI tools (Claude Code, Copilot) as part of an AI-First approach Skills, Knowledge and Expertise 3+ years of commercial Android development with Kotlin Good knowledge of Coroutines, Flow, MVVM/MVI and DI (Dagger/Hilt) Experience with Jetpack Compose Experience with multi-module projects and Gradle Understanding of networking, caching and unstable connections Experience with unit testing English level: B1+ Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

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: Hinesville Workplace: OnSite LOCATION: HINESVILLE, GA PAY: $22-$28+ EMPLOYMENT TYPE: PART-TIME, W-2 SCHEDULE: MONDAY-FRIDAY 8AM-2PM OR 9AM-3PM OR 10AM-4PM EXPECTED HOURS: 30 HOURS/WEEK (can stack with other clients for more hours!) START YOUR CAREER WITH TELLOS ABA THERAPY Interested in working with children or exploring a career in behavioral health? You DON'T need previous ABA experience or RBT certification to apply! At Tellos, we're looking for dependable, compassionate individuals who are excited to learn and grow as Behavior Technicians. You'll work one-on-one with children with autism, helping them develop communication, social, and everyday living skills under the guidance of a Board Certified Behavior Analyst (BCBA). Whether your background is in childcare, education, psychology, or another field, this could be a great opportunity to build meaningful experience. WHAT YOU'LL DO - Provide one-on-one ABA services in clients' homes, schools and in the community. - Follow individualized treatment plans developed by a BCBA. - Help clients develop communication, social, behavioral, and daily living skills. - Use positive reinforcement and evidence-based teaching strategies. - Collect session data and complete accurate documentation. - Participate in training, supervision, and professional development. - Communicate consistently with your supervising BCBA. WHAT WE'RE LOOKING FOR - High school diploma or equivalent. - No previous ABA experience required. - RBT certification not required to apply. - Willingness and eligibility to obtain RBT certification within 30 days of hire. - Patience, reliability, and strong communication skills. - Interest in working with children with autism or developmental disabilities. - Consistent availability for the assigned schedule. - Reliable transportation. - Ability to complete background checks and onboarding. WHY WORK WITH TELLOS? - Eligible 40-hour RBT training reimbursement after meeting program requirements! - Competitive hourly pay! - Ongoing BCBA supervision and clinical support! - Eligible attendance recognition opportunities! - Employee referral incentives, when applicable! - Eligible mileage reimbursement and approved materials reimbursement! - Opportunities for continued learning and additional cases as available! CERTIFICATION & TRAINING RBT certification is NOT required to apply. Candidates must obtain RBT certification within 30 days of hire. Our team will help explain the certification process, onboarding requirements, and next steps. Client services may begin ONLY when applicable training, supervision, and payer requirements have been satisfied. READY TO GET STARTED? If you're dependable, eager to learn, and interested in making a difference in children's lives, we'd love to connect. APPLY TODAY TO JOIN TELLOS ABA THERAPY! We believe in hiring people, not resumes. If you’re excited by Tellos’s mission but unsure if you meet every requirement, we still encourage you to apply, we’d love to learn what you’d bring to the team.

Location: Hinesville Workplace: OnSite LOCATION: HINESVILLE, GA PAY: $22-$28+ EMPLOYMENT TYPE: PART-TIME, W-2 SCHEDULE: MONDAY-FRIDAY 8AM-2PM OR 9AM-3PM OR 10AM-4PM EXPECTED HOURS: 30 HOURS/WEEK (can stack with other clients for more hours!) START YOUR CAREER WITH TELLOS ABA THERAPY Interested in working with children or exploring a career in behavioral health? You DON'T need previous ABA experience or RBT certification to apply! At Tellos, we're looking for dependable, compassionate individuals who are excited to learn and grow as Behavior Technicians. You'll work one-on-one with children with autism, helping them develop communication, social, and everyday living skills under the guidance of a Board Certified Behavior Analyst (BCBA). Whether your background is in childcare, education, psychology, or another field, this could be a great opportunity to build meaningful experience. WHAT YOU'LL DO - Provide one-on-one ABA services in clients' homes, schools and in the community. - Follow individualized treatment plans developed by a BCBA. - Help clients develop communication, social, behavioral, and daily living skills. - Use positive reinforcement and evidence-based teaching strategies. - Collect session data and complete accurate documentation. - Participate in training, supervision, and professional development. - Communicate consistently with your supervising BCBA. WHAT WE'RE LOOKING FOR - High school diploma or equivalent. - No previous ABA experience required. - RBT certification not required to apply. - Willingness and eligibility to obtain RBT certification within 30 days of hire. - Patience, reliability, and strong communication skills. - Interest in working with children with autism or developmental disabilities. - Consistent availability for the assigned schedule. - Reliable transportation. - Ability to complete background checks and onboarding. WHY WORK WITH TELLOS? - Eligible 40-hour RBT training reimbursement after meeting program requirements! - Competitive hourly pay! - Ongoing BCBA supervision and clinical support! - Eligible attendance recognition opportunities! - Employee referral incentives, when applicable! - Eligible mileage reimbursement and approved materials reimbursement! - Opportunities for continued learning and additional cases as available! CERTIFICATION & TRAINING RBT certification is NOT required to apply. Candidates must obtain RBT certification within 30 days of hire. Our team will help explain the certification process, onboarding requirements, and next steps. Client services may begin ONLY when applicable training, supervision, and payer requirements have been satisfied. READY TO GET STARTED? If you're dependable, eager to learn, and interested in making a difference in children's lives, we'd love to connect. APPLY TODAY TO JOIN TELLOS ABA THERAPY! We believe in hiring people, not resumes. If you’re excited by Tellos’s mission but unsure if you meet every requirement, we still encourage you to apply, we’d love to learn what you’d bring to the team.

Location: Bristol (on-site) Workplace: OnSite About Us Axelera AI https://www.axelera.ai is a fast-growing fabless semiconductor company headquartered in the Netherlands, building high-performance, energy-efficient AI acceleration hardware and software (Metis and Europa product lines). We operate across the EU, the UK, Switzerland and the US, and are building a finance function ready to scale to public-company standards. Position Overview We are looking for an enthusiastic and highly organised Office & Community Specialist to support our growing Bristol office. This is an initial 6-month contract opportunity, with part-time hours (6-8 hours per week) and an excellent opportunity for someone who enjoys creating a welcoming office environment while supporting community initiatives and local office operations. You will report directly to an Office & Community Lead (Erika), who is based in the Netherlands, and work closely together to ensure smooth day-to-day operations in Bristol as our newest office location is established. This role is ideal for someone who enjoys taking ownership of local office activities, building connections with colleagues, and ensuring that everything behind the scenes runs smoothly. What You'll Do 1) Office Operations - Be the local point of contact for day-to-day office needs and ensure the office remains well-organised, stocked, and ready to welcome employees and visitors: ensure clean, organized and safe work environment. Pick up and take action on requests related to the office and facility tasks directly with the external and internal parties. 2) Purchasing & Vendor Coordination - Manage purchases with local suppliers for office supplies and daily necessities. - Ensure smooth organisation of fruit deliveries and other regular office services, like cleaning and waste management. - Coordinate monthly grocery and coffee supply orders. 3) Community & Event Support - Help foster an engaging and welcoming workplace culture: work together with the local team and be present in the office. - Support onboarding activities: access control, badge assignment and desk preparation. - 3-4 times a year: Support local community-building initiatives, celebrations, workshops and office activities in Bristol. Research venues, make reservations, and assist with logistical arrangements for team dinners and gatherings. Your profile: - Organized & Reliable: Able to prioritize tasks independently and maintain attention to detail in a dynamic environment. - People Person: Strong communication and interpersonal skills with a proactive and service-oriented mindset. - Ownership: Comfortable taking initiative and ensuring local office activities are completed efficiently. - Tech-Savvy: Comfortable with Microsoft Office and quick to learn new digital tools and systems. - Professional background: Preferably prior experience in office administration, facility support, hospitality, or a similar role. - Right to work in the UK. Please note that we do not offer visa sponsorship for this role. What We Offer: - An open, creative culture that encourages innovation and collaboration, where freedom and responsibility go hand in hand. - The opportunity to contribute to a fast-growing, international technology company. - A supportive and people-focused work environment where your contributions make a real impact. Location & office presence: This is a part-time role based in our Bristol office at Bull Wharf. You’ll be in the office two days a week, for 3–4 hours each day, within standard office hours (e.g. 9am–5pm). Some flexibility might be required now and then to accommodate office needs and events. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

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 .

Location: Republic of Ireland (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 Ireland, the base compensation range for this role is EUR 107,000 - EUR 134,000 . 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 .