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Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our enterprise marketing programs bring in thousands more leads. We've grown this far without a marketing automation platform or a dedicated Marketing Operations team. We're ready to build both. We're hiring our first Head of Marketing Operations. You'll choose and implement our first marketing automation platform. You'll own how every marketing and product lead is enriched, scored and routed. And you'll build the campaign operations, attribution and reporting that connect our B2B and enterprise marketing to pipeline and revenue. You'll report to the Head of Revenue Operations and build a team. Your first direct report is a GTM Engineer, who builds our enrichment, scoring and routing systems in code. You set the definitions, strategy and priorities for that work, and the GTM Engineer is your force multiplier for delivering it. Tech stack: Salesforce | Snowflake | dbt | Clay | Marketing automation (you'll choose it) | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | Computer WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build and lead the Marketing Operations team. Manage the GTM Engineer from day one, set the team's roadmap, and hire the next roles as the function grows. Stay hands-on while the team is small. - Select and implement our marketing automation platform. Run the evaluation across established and AI-native platforms, covering requirements, integrations, security, scale and total cost. Then lead the rollout: the data model, the Salesforce sync, lifecycle stages, program templates, permissions and the migration of our existing B2B email programs. - Own the lead lifecycle. Define lifecycle stages, qualification criteria, handoff SLAs and recycle rules with Marketing and Sales leadership. Make sure they are enforced the same way in the marketing automation platform and in Salesforce. - Own enrichment, scoring and routing. You are accountable for every lead being complete, accurately scored on fit, intent and product usage, and sent to nurture or to a BDR, AE or Account Manager within SLA. The GTM Engineer builds and runs these systems. You direct the work, supply marketing engagement signals to the scoring model, and answer to Sales and Marketing for the results. - Own or co-own the prospecting tools our BDRs use. Lead the implementation and evolution of these tools, which will be a combination of internally built applications and vendor solutions. Work with BDR leadership to set requirements, decide what to build and what to buy, drive adoption, and measure the impact on meetings and pipeline. The GTM Engineer delivers the internal builds and the integrations with vendor tools. - Stand up account-based marketing and sales as a motion. Work with Sales and Marketing leadership to select and tier target accounts by fit, intent and product usage, and set the level of investment for each tier, from one-to-one plans for strategic accounts to scaled programs for the broader list. Map the buying group at each account and roll individual engagement up to an account-level score that tells BDRs and AEs when to act. Design the coordinated plays that Marketing, BDRs and AEs run together across email, ads, events and outbound, with clear triggers, owners and follow-up SLAs. Measure the program by account: buying-group coverage, engagement, meetings, pipeline and win rate against comparable non-target accounts. The GTM Engineer builds the account scoring, signals and orchestration behind these plays. - Run nurture and campaign operations for B2B and enterprise marketing. Build the nurture tracks that leads enter when they aren't ready for sales, including entry and exit rules. Set up a repeatable way to build, test and launch email, webinar, event, paid and account-based programs. Keep a clean Salesforce campaign structure so every program rolls up correctly. - Own attribution and marketing reporting. Build the tracking and lead source model, define how we measure pipeline that marketing sourced and influenced, and own the dashboards and weekly funnel review that leadership uses. Marketing and Revenue Operations should report the same numbers. - Protect data quality, consent and deliverability. Own consent, preferences and suppression for B2B and enterprise marketing email under GDPR, CCPA and CAN-SPAM. Own sending-domain health and inbox placement for that email. The Growth team owns product and consumer lifecycle messaging, so agree shared rules with them on contact frequency, suppression and sending domains. - Partner with Growth on web conversion. Growth owns the website, sign-up flows and in-product surfaces. You own what happens to a B2B lead after capture: form field standards, tracking parameters, consent capture, and a clean handoff into the marketing automation platform and Salesforce. - Own the marketing technology stack and its budget. Evaluate vendors, manage renewals, add what the team needs and retire what it has outgrown. - Set the operating rhythm. Run intake and prioritization for marketing operations requests, document every system, and train marketers and sellers on how to use what you build. - Use AI to do more with a small team. Use Computer and other AI tools to automate campaign builds, data cleanup, reporting and lifecycle workflows. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit how leads are captured, enriched, scored, routed and emailed today, and document the gaps. - Write the requirements for the marketing automation platform and start the evaluation. - Agree with Growth on who owns which messages, audiences and sending domains. In your first 60 days: - Select the platform and start implementation with a clear rollout plan. - Publish agreed lifecycle stage definitions and handoff SLAs. - Set the GTM Engineer's priorities for enrichment, scoring and routing, and publish a baseline funnel report. In your first 120 days: - Take the platform live with a reliable Salesforce sync, consent and preference management, and the first nurture programs running. - Have scoring and routing meet the agreed speed-to-lead SLA. - Deliver a first attribution model that Marketing, Sales and Finance all use. In your first 6 months: - Build the team beyond the GTM Engineer, based on a hiring plan you've made the case for. - Show a measurable lift in lead-to-meeting and meeting-to-opportunity conversion. - Report marketing-sourced and marketing-influenced pipeline as one trusted number in company planning. QUALIFICATIONS - 8+ years in marketing operations or revenue operations at a B2B SaaS company, including 2+ years managing people. - Experience at a company with a large consumer user base alongside an enterprise business, coordinating with a product lifecycle or growth team. - You've led the selection and implementation of a marketing automation platform from scratch, or a full migration, including the Salesforce sync. - Deep, hands-on expertise in at least one major platform, such as HubSpot or Marketo. You can still build in it yourself. - You've designed, shipped and measured a lead scoring and routing model, with a lifecycle and SLAs that Sales followed. - You've built attribution and pipeline reporting that Sales and Finance used to make decisions. - Experience directing technical builders, such as GTM engineers, systems engineers or analysts. You can scope technical work, set priorities and judge the result. - Working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns) and enough SQL to trace a record across systems. - Working knowledge of consent and privacy rules (GDPR, CCPA, CAN-SPAM) and email deliverability (SPF, DKIM, DMARC, list hygiene). - Clear communicator. You explain systems and data to executives without jargon, and turn business requests into requirements. - Builder mindset. You're comfortable being the first hire in a function and creating structure where none exists. NICE TO HAVE - Experience in a hybrid product-led and sales-led motion, including product-qualified leads and mapping users to accounts. - Experience with a warehouse-first stack: Snowflake, dbt, reverse ETL and Clay. - Experience deploying AI-native marketing tools or agents in production. - Experience running event and webinar operations, including lead capture and follow-up. - Experience building a marketing operations team from the first hire.

Location: San Francisco; Austin; New York City Workplace: Hybrid In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and our enterprise marketing programs bring in thousands more leads. We've grown this far without a marketing automation platform or a dedicated Marketing Operations team. We're ready to build both. We're hiring our first Head of Marketing Operations. You'll choose and implement our first marketing automation platform. You'll own how every marketing and product lead is enriched, scored and routed. And you'll build the campaign operations, attribution and reporting that connect our B2B and enterprise marketing to pipeline and revenue. You'll report to the Head of Revenue Operations and build a team. Your first direct report is a GTM Engineer, who builds our enrichment, scoring and routing systems in code. You set the definitions, strategy and priorities for that work, and the GTM Engineer is your force multiplier for delivering it. Tech stack: Salesforce | Snowflake | dbt | Clay | Marketing automation (you'll choose it) | Reverse ETL (Hightouch or similar) | Routing and scheduling (Default, Chili Piper or similar) | Computer WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build and lead the Marketing Operations team. Manage the GTM Engineer from day one, set the team's roadmap, and hire the next roles as the function grows. Stay hands-on while the team is small. - Select and implement our marketing automation platform. Run the evaluation across established and AI-native platforms, covering requirements, integrations, security, scale and total cost. Then lead the rollout: the data model, the Salesforce sync, lifecycle stages, program templates, permissions and the migration of our existing B2B email programs. - Own the lead lifecycle. Define lifecycle stages, qualification criteria, handoff SLAs and recycle rules with Marketing and Sales leadership. Make sure they are enforced the same way in the marketing automation platform and in Salesforce. - Own enrichment, scoring and routing. You are accountable for every lead being complete, accurately scored on fit, intent and product usage, and sent to nurture or to a BDR, AE or Account Manager within SLA. The GTM Engineer builds and runs these systems. You direct the work, supply marketing engagement signals to the scoring model, and answer to Sales and Marketing for the results. - Own or co-own the prospecting tools our BDRs use. Lead the implementation and evolution of these tools, which will be a combination of internally built applications and vendor solutions. Work with BDR leadership to set requirements, decide what to build and what to buy, drive adoption, and measure the impact on meetings and pipeline. The GTM Engineer delivers the internal builds and the integrations with vendor tools. - Stand up account-based marketing and sales as a motion. Work with Sales and Marketing leadership to select and tier target accounts by fit, intent and product usage, and set the level of investment for each tier, from one-to-one plans for strategic accounts to scaled programs for the broader list. Map the buying group at each account and roll individual engagement up to an account-level score that tells BDRs and AEs when to act. Design the coordinated plays that Marketing, BDRs and AEs run together across email, ads, events and outbound, with clear triggers, owners and follow-up SLAs. Measure the program by account: buying-group coverage, engagement, meetings, pipeline and win rate against comparable non-target accounts. The GTM Engineer builds the account scoring, signals and orchestration behind these plays. - Run nurture and campaign operations for B2B and enterprise marketing. Build the nurture tracks that leads enter when they aren't ready for sales, including entry and exit rules. Set up a repeatable way to build, test and launch email, webinar, event, paid and account-based programs. Keep a clean Salesforce campaign structure so every program rolls up correctly. - Own attribution and marketing reporting. Build the tracking and lead source model, define how we measure pipeline that marketing sourced and influenced, and own the dashboards and weekly funnel review that leadership uses. Marketing and Revenue Operations should report the same numbers. - Protect data quality, consent and deliverability. Own consent, preferences and suppression for B2B and enterprise marketing email under GDPR, CCPA and CAN-SPAM. Own sending-domain health and inbox placement for that email. The Growth team owns product and consumer lifecycle messaging, so agree shared rules with them on contact frequency, suppression and sending domains. - Partner with Growth on web conversion. Growth owns the website, sign-up flows and in-product surfaces. You own what happens to a B2B lead after capture: form field standards, tracking parameters, consent capture, and a clean handoff into the marketing automation platform and Salesforce. - Own the marketing technology stack and its budget. Evaluate vendors, manage renewals, add what the team needs and retire what it has outgrown. - Set the operating rhythm. Run intake and prioritization for marketing operations requests, document every system, and train marketers and sellers on how to use what you build. - Use AI to do more with a small team. Use Computer and other AI tools to automate campaign builds, data cleanup, reporting and lifecycle workflows. WHAT SUCCESS LOOKS LIKE In your first 30 days: - Audit how leads are captured, enriched, scored, routed and emailed today, and document the gaps. - Write the requirements for the marketing automation platform and start the evaluation. - Agree with Growth on who owns which messages, audiences and sending domains. In your first 60 days: - Select the platform and start implementation with a clear rollout plan. - Publish agreed lifecycle stage definitions and handoff SLAs. - Set the GTM Engineer's priorities for enrichment, scoring and routing, and publish a baseline funnel report. In your first 120 days: - Take the platform live with a reliable Salesforce sync, consent and preference management, and the first nurture programs running. - Have scoring and routing meet the agreed speed-to-lead SLA. - Deliver a first attribution model that Marketing, Sales and Finance all use. In your first 6 months: - Build the team beyond the GTM Engineer, based on a hiring plan you've made the case for. - Show a measurable lift in lead-to-meeting and meeting-to-opportunity conversion. - Report marketing-sourced and marketing-influenced pipeline as one trusted number in company planning. QUALIFICATIONS - 8+ years in marketing operations or revenue operations at a B2B SaaS company, including 2+ years managing people. - Experience at a company with a large consumer user base alongside an enterprise business, coordinating with a product lifecycle or growth team. - You've led the selection and implementation of a marketing automation platform from scratch, or a full migration, including the Salesforce sync. - Deep, hands-on expertise in at least one major platform, such as HubSpot or Marketo. You can still build in it yourself. - You've designed, shipped and measured a lead scoring and routing model, with a lifecycle and SLAs that Sales followed. - You've built attribution and pipeline reporting that Sales and Finance used to make decisions. - Experience directing technical builders, such as GTM engineers, systems engineers or analysts. You can scope technical work, set priorities and judge the result. - Working knowledge of the Salesforce data model (leads, contacts, accounts, opportunities, campaigns) and enough SQL to trace a record across systems. - Working knowledge of consent and privacy rules (GDPR, CCPA, CAN-SPAM) and email deliverability (SPF, DKIM, DMARC, list hygiene). - Clear communicator. You explain systems and data to executives without jargon, and turn business requests into requirements. - Builder mindset. You're comfortable being the first hire in a function and creating structure where none exists. NICE TO HAVE - Experience in a hybrid product-led and sales-led motion, including product-qualified leads and mapping users to accounts. - Experience with a warehouse-first stack: Snowflake, dbt, reverse ETL and Clay. - Experience deploying AI-native marketing tools or agents in production. - Experience running event and webinar operations, including lead capture and follow-up. - Experience building a marketing operations team from the first hire.

Location: Ukraine; Poland M Science is a data-driven research and analytics firm, uncovering new insights for leading financial institutions and corporations. We come to work every day to create actionable insights from alternative data. M Science is revolutionizing research, discovering new data sets and pioneering methodologies to provide actionable intelligence. Our research teams have decades of experience working with massive amounts of unstructured data in near real-time to discern critical insights that help clients make smarter, more informed decisions. We combine the best of finance, data and technology to create a truly unique value proposition for both financial services firms and major corporations. We’re looking for exceptional data engineers who will work with petabytes of data daily using diverse technologies like Databricks, SQL, Python, Airflow, and others. You will be expected to effectively partner with upstream engineering teams and downstream consumers, including analysts and product engineers. In this role, you will build datasets to support analytics, experimentation, and machine learning. Specifically, you will build out standards for pipelining at scale, including establishing common operators, workflows/DAGs, and optimizing existing products. NOTE: This role requires flexible working hours to ensure at least 2 hours of overlap with colleagues based on both the US East Coast and West Coast. Expected working schedule: 12:00–20:00 CET. Responsibilities: Manage and improve pipeline for cleansing, filtering, and structuring raw datasets for the purposes of company and customer analysis. Implement QA procedures to proactively identify data anomalies and issues. Implement new products and features created by analyst teams using best practices. Work with other team members and internal stakeholders on infrastructure projects, documentation, QA and code reviews. Build and manage Repos. Continuously seek opportunities to standardize code and automate production pipelines. Create and contribute to frameworks that improve the efficacy of logging data, while working with infrastructure to triage issues and resolve. Mentor team members by giving/receiving actionable feedback. Requirements: 3-7 years of experience as a data engineer. Preference given to those that have worked in a similar type role within a data intelligence company or within our desired verticals including consumer retail & brands, digital media and technology. Expertise in data engineering in a cloud environment (Python, Databricks, AWS, Airflow, Snowflake, SQL). SQL & Python required. Working knowledge of PySpark and distributed computing. Strong people and management skills to interact with product managers and data analysts. Familiarity with software development methods such as Scrum and TDD. General project management skills. Ability to clearly articulate project plans, technical requirements, methodologies, and takeaways to both technical and non-technical stakeholders. Bachelor’s or higher degree, or significant experience in Statistics, Mathematics, Computer Science, or a similar quantitative discipline. Ability to thrive in a culture of quality and personal accountability. What we offer: 20 days of vacation. Public holidays. Mobilization reservation available upon successful completion of the probation period (for Ukrainian colleagues). The exchange of experience and work with talented colleagues. Last but not least - valuable compensation for your efforts.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost. In this position, your responsibility will be to Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines. Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals Monitor resource usage, bandwidth consumption, and infrastructure cost Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics You may be a good fit if you: 5+ years of experience building product critical backend services Strong Go and Python Experience Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines) Understanding of Information Retrieval flows and pipelines Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Are interested in either a strong senior IC role or a role with significant technical leadership and ownership. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA, USA About the role Data Engineering sits at the heart of Chime: nearly every product, analytics and AI initiative runs through the data our teams build. As a Director of Engineering, you'll lead Data Foundations and Insights, managing engineering managers and staff engineers who build the foundations the rest of Chime depends on. You'll partner closely with product, analytics, ML and business leaders to make sure our data reflects the true end state of the business for analysts and AI tools alike. And you'll play a core role in Chime's AI transformation, making sure the foundations are built right from day one. In this role, you can expect to Lead and grow an organization of engineering managers and staff engineers, setting a high bar for quality, reliability and ownership. Build strong partnerships with product, analytics, ML, risk and business leaders, and keep them confident in what your org delivers. Set the multi-year technical vision and roadmap for Chime's data foundations, and tie each investment to business and member outcomes. Make sure our data reflects the true end state of the business, so analysts and AI tools can trust it and act on it. Shape the data architecture that underpins Chime's AI transformation, making the right foundational calls early. Balance competing priorities across many partner teams, making clear trade-offs and explaining them well. Hire, coach and develop leaders, and build a team culture of trust, candor and inclusion. To thrive in this role, you have Experience leading engineering organizations through managers, including managing managers and staff-level engineers. A track record of building trusted partnerships with cross-functional partners and senior stakeholders, and keeping them aligned through competing priorities. Deep understanding of modern data architecture: ingestion, transformation, storage, governance, and serving data for analytics and ML/AI use cases. Experience setting technical strategy and a multi-year roadmap, and making the case for investment to executives. Sound judgment on architecture trade-offs at scale (batch vs. real-time, build vs. buy, cost vs. reliability), with the technical depth to earn credibility with staff engineers. Clear, concise written and verbal communication with both technical and non-technical audiences. Bonus: experience building data foundations for AI and LLM-powered tools, or working in fintech or another regulated industry. #LI-Onsite #LI-DA1 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 $269,000 — $373,000 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 .

Какие задачи предстоит выполнять Работа с заказчиком: погружаться в бизнес-процессы клиентов, выявлять потребности, определять задачи и ожидаемый результат; Проектирование решений: продумывать логику работы будущих приложений, пользовательские сценарии, структуру данных и требования к интерфейсу;

Location: Newport News, Virginia Workplace: OnSite Clinic- Based Registered Behavior Technician (RBT) - Newport News, VA Company: Academy For Effective Behavior Intervention, a Finni Health company Job Type: Full-time | Monday–Friday, 8:30 AM - 5:00 PM Location: In-person – Newport News, VA Pay: $26 per hour Are you passionate about helping individuals reach their full potential and ready to make a meaningful impact? We are seeking a dedicated and compassionate Registered Behavior Technician (RBT) to join our growing team! This position involves working one-on-one with a client to support skill development, communication, and independence using Applied Behavior Analysis (ABA) principles. About the Role As an RBT, you will provide individualized ABA therapy under the supervision of a Board Certified Behavior Analyst (BCBA). You’ll work closely with clients to implement treatment plans, track progress, and support the development of essential life, communication, and social skills in a structured and encouraging environment. Key Responsibilities - Implement individualized ABA treatment plans under BCBA supervision - Collect and record accurate session data - Support skill development and behavior-reduction goals - Maintain professionalism and positive rapport with clients and families - Participate in ongoing training and professional development opportunities related to ABA and special education Qualifications - Active RBT Certification (Preferred) - RBT Training (40-hour course completed) - Previous experience working with children or individuals with special needs (preferred) - Experience with data collection and familiarity with ABA terminology (preferred) - Understanding of HIPAA regulations and confidentiality practices (required) - Experience with behavior management strategies and applied behavior analysis techniques (preferred) - A background in special education, psychology, or a related field (beneficial) What We Offer - Competitive pay: $26 per hour - Supervision toward BCBA/BCaBA certification - Health, Dental, and Vision Insurance (for eligible employees) - Consistent daytime schedule (Monday–Friday) - Career growth opportunities within a supportive organization - Ongoing training and supervision by experienced BCBAs - Company-provided iPad Background Check All candidates must pass a background check. Employment offers are contingent upon successful screening results to ensure the safety of the children and families we serve. Must be at least 18 years of age to meet regulatory, background check, and BACB eligibility requirements for behavioral healthcare providers #IndeedHires2026

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: 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!) JOIN THE TELLOS TEAM At Tellos ABA Therapy, we believe great care starts with a team that feels supported. We're looking for a dependable and compassionate Registered Behavior Technician (RBT) to provide one-on-one ABA therapy to children with autism in their homes. You'll work under the supervision of a Board Certified Behavior Analyst (BCBA), helping clients build meaningful skills while receiving the guidance and support you need to do your best work. WHAT YOU'LL DO - Provide individualized, one-on-one ABA therapy in clients' homes, schools and in the community. - Implement treatment plans developed by your supervising BCBA. - Help clients build communication, social, behavioral and daily living skills. - Collect accurate session data and complete timely documentation. - Communicate regularly with your BCBA and participate in supervision. - Build positive, professional relationships with clients and families. - Follow clinical, ethical and confidentiality requirements. WHAT WE'RE LOOKING FOR - Active Registered Behavior Technician (RBT) certification required before starting services. - Candidates with expired or inactive certification must renew before starting services. - High school diploma or equivalent. - Strong communication skills, reliability and willingness to learn. - Ability to maintain a consistent schedule. - Reliable transportation for all service settings. - Ability to complete required background checks and onboarding. - Experience working with children with autism or developmental disabilities preferred. WHY WORK WITH TELLOS? - 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 REQUIREMENTS Active RBT certification is required before providing services. If your certification has lapsed, it must be renewed before you begin. Your supervising BCBA may be able to assist with the renewal process. READY TO JOIN US? If you're an RBT looking for a team that values your work, supports your growth, and recognizes your commitment, we'd love to hear from you! 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: 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 .

Location: United Kingdom (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 the UK, the base compensation range for this role is £94 ,000 - £118,000 . 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: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The role As a Data Science Manager in the Payments Performance pillar you will lead a team of smart and ambitious data scientists that drive the success of our machine learning solution for payment optimization. We are looking for someone passionate about building high-performing teams that consistently deliver value in a rapidly evolving area. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Your leadership will be pivotal for translating complex problems into actionable roadmaps that ultimately impact millions of online shoppers worldwide.   How you’ll make an impact - Drive the roadmap and priorities for your team, and work with many leaders across the company to enhance our ability to deliver best-in-class performance, through ML. - Build the brain behind mission-critical products that make real-time decisions during the payment processing flow. - Collaborate with stakeholders across the organization such as engineering, analytics, operations and product. - Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.   What we’re looking for - You have at least 2 years of direct management experience leading data science and ML teams in a complex domain. - Strong background as a Data Scientist (5+ years of proven experience) - You’ve managed teams that have built and shipped machine learning systems and data products at scale. - You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. - You thrive on a high level of autonomy and responsibility. - You foster a healthy, inclusive, challenging, and supportive work environment. - Growth mindset, always on the lookout for stretch challenges. - Excellent communication skills, ability to simplify machine learning concepts and data analyses for broad audiences. - Experience dealing with data from complex domains (FinTech, Fraud Detection or Payments Processing are a significant plus) - A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) is considered a plus. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Blacksburg Workplace: OnSite LOCATION: BLACKSBURG, SC PAY: $22-$28+ EMPLOYMENT TYPE: PART-TIME, W-2 SCHEDULE: MONDAY TO FRIDAY 9 AM TO 12NN EXPECTED HOURS: 15 JOIN THE TELLOS TEAM At Tellos ABA Therapy, we believe great care starts with a team that feels supported. We're looking for a dependable and compassionate Registered Behavior Technician (RBT) to provide one-on-one ABA therapy to children with autism in their homes. You'll work under the supervision of a Board Certified Behavior Analyst (BCBA), helping clients build meaningful skills while receiving the guidance and support you need to do your best work. WHAT YOU'LL DO - Provide individualized, one-on-one ABA therapy in clients' homes, schools and in the community. - Implement treatment plans developed by your supervising BCBA. - Help clients build communication, social, behavioral and daily living skills. - Collect accurate session data and complete timely documentation. - Communicate regularly with your BCBA and participate in supervision. - Build positive, professional relationships with clients and families. - Follow clinical, ethical and confidentiality requirements. WHAT WE'RE LOOKING FOR - Active Registered Behavior Technician (RBT) certification required before starting services. - Candidates with expired or inactive certification must renew before starting services. - High school diploma or equivalent. - Strong communication skills, reliability and willingness to learn. - Ability to maintain a consistent schedule. - Reliable transportation for all service settings. - Ability to complete required background checks and onboarding. - Experience working with children with autism or developmental disabilities preferred. WHY WORK WITH TELLOS? - 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 REQUIREMENTS Active RBT certification is required before providing services. If your certification has lapsed, it must be renewed before you begin. Your supervising BCBA may be able to assist with the renewal process. READY TO JOIN US? If you're an RBT looking for a team that values your work, supports your growth, and recognizes your commitment, we'd love to hear from you! 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: M-F 8-2P (SCHEDULE IS SLIGHTLY FLEXIBLE IF NEEDED (I.E., 9AM - 3PM OR 10AM - 4PM) EXPECTED HOURS: 30 JOIN THE TELLOS TEAM At Tellos ABA Therapy, we believe great care starts with a team that feels supported. We're looking for a dependable and compassionate Registered Behavior Technician (RBT) to provide one-on-one ABA therapy to children with autism in their homes. You'll work under the supervision of a Board Certified Behavior Analyst (BCBA), helping clients build meaningful skills while receiving the guidance and support you need to do your best work. WHAT YOU'LL DO - Provide individualized, one-on-one ABA therapy in clients' homes, schools and in the community. - Implement treatment plans developed by your supervising BCBA. - Help clients build communication, social, behavioral and daily living skills. - Collect accurate session data and complete timely documentation. - Communicate regularly with your BCBA and participate in supervision. - Build positive, professional relationships with clients and families. - Follow clinical, ethical and confidentiality requirements. WHAT WE'RE LOOKING FOR - Active Registered Behavior Technician (RBT) certification required before starting services. - Candidates with expired or inactive certification must renew before starting services. - High school diploma or equivalent. - Strong communication skills, reliability and willingness to learn. - Ability to maintain a consistent schedule. - Reliable transportation for all service settings. - Ability to complete required background checks and onboarding. - Experience working with children with autism or developmental disabilities preferred. WHY WORK WITH TELLOS? - 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 REQUIREMENTS Active RBT certification is required before providing services. If your certification has lapsed, it must be renewed before you begin. Your supervising BCBA may be able to assist with the renewal process. READY TO JOIN US? If you're an RBT looking for a team that values your work, supports your growth, and recognizes your commitment, we'd love to hear from you! 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.