GTM Engineer, AI & Automation

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re 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 [http://grafana.com] and follow us on LinkedIn [https://www.linkedin.com/company/grafana-labs/] and X [https://twitter.com/grafana]. 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. SENIOR ML ENGINEER RECOMMENDER SYSTEMS, DEVELOPER ADVOCACY | US | REMOTE This is a fully remote position and we're considering candidates in the US. The Opportunity: Grafana Labs is building an Interactive Learning system, an open source, in-product learning experience that helps users learn and succeed without leaving Grafana. A central part of that vision is a personalized recommendation system that helps each user discover the next guide, action, or product experience most likely to help them succeed. Today, the Interactive Learning tool includes a rule-based recommendation engine that provides useful contextual recommendations. We are hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real-time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology, and define the scientific roadmap. You will partner closely with software engineers who own the production recommender codebase and with an existing Data Analyst who supports measurement, instrumentation, and analysis across Developer Advocacy. What You’ll Be Doing: The long-term vision is ambitious, but we do not expect it to arrive in one release. We are looking for someone who can understand the whole problem, establish strong foundations, and ship measurable improvements into the existing recommender one iteration at a time. * Evolve the Interactive Learning Plugin's recommendation system * Develop increasingly personalized approaches to candidate selection, ranking, sequencing, and next-best-action recommendations. * You’ll own a real-time recommendation service * Build and operate applied models * Develop, validate, version, monitor, and iterate on models used by the recommendation system. * You’ll own model training & serving * Define what recommendation quality means * Develop offline, online, and longitudinal measures of recommendation performance. * You’ll own feature pipelines, monitoring of the model and architecture * Ship incremental improvements * Use the data and infrastructure available today while identifying the instrumentation and platform capabilities needed tomorrow. * Integrate improvements into the existing recommender rather than waiting for a complete replacement system. * Partner across disciplines * Work closely with software engineers & data analysts to productionize models and integrate them safely into the recommender service. * Partner with the Product Analytics team on metric definitions, instrumentation, data quality, dashboards, and experiment analysis. * Collaborate with Developer Advocacy, Docs, Product, Engineering, GTM, and other teams to translate ambiguous needs into testable hypotheses and measurable product decisions. * Explain modeling choices, tradeoffs, uncertainty, and results clearly to both technical and non-technical audiences. What Makes You a Great Fit: We know it is rare to find everything. Strong candidates should demonstrate credible ability across all three core areas below and be particularly strong in at least two. * Recommendation and personalization science: you have built recommendation, ranking, search, matching, propensity, or next-best-action systems.  You are comfortable beginning with simple, explainable approaches when they are the best way to learn. * HTTP/gRPC, streaming, Go/TypeScript previous experience in distributed systems * Applied model ownership.  You have personally built, validated, monitored, and iterated on models used in a product or operational environment. You can work effectively in version-controlled codebases and collaborate with engineers on production implementation. You should also be a strong product thinker and technical communicator. You can take an ambitious and ambiguous objective, identify the most important unknowns, and create a sequence of models and experiments that steadily improves the product. Bonus Points For: * Experience with content, education, onboarding, or learning recommendation systems * Experience with SaaS product telemetry and customer-account data * Experience using warehouse-scale behavioral data * Experience with directed graphs, sequence models, or prerequisite-aware recommendations * Experience with contextual bandits or other exploration strategies * Familiarity with Grafana or the broader observability ecosystem * Experience with open source software or transparent development practices * Experience working with privacy, fairness, explainability, or responsible personalization constraints Compensation & Rewards: In the United States, the base compensation range for this role is $154,445 - $185,334. 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 [https://grafana.com/legal/applicant-and-candidate-privacy-policy/].

WHO WE ARE Edmentum is a dynamic educator and student-focused company dedicated to tech-enabled learning solutions. Our goal is to ensure that all students have access to flexible learning environments and educators have the tools they need to support their students. We are on a mission to create innovative, proven learning technology, partnering with educators to ignite student potential. We are a Remote First organization with a strong commitment to excellence, innovation, and customer satisfaction. What You’ll Do  As a Talent Partner, you’ll be a strategic partner and executional powerhouse, helping Edmentum attract and hire top-tier talent across our most critical functions. You’ll lead full-cycle recruiting efforts across multiple functions – primarily focusing on revenue-generating roles – ensuring every hire is aligned with our mission, values, and growth goals. You’ll collaborate closely with hiring managers, optimize sourcing strategies, and deliver a seamless, inclusive candidate experience that reflects the best of who we are.  In this role you will:  * Lead full-cycle recruiting for a wide range of roles, from intake to offer, across Sales, Customer Success, and other critical teams.  * Partner with hiring managers to define role requirements, align sourcing strategies, and calibrate candidate profiles.  * Build and manage high-quality candidate pipelines using job boards, referrals, campaigns, and AI-powered sourcing tools.  * Track and report on recruiting metrics using our ATS and dashboards, ensuring data integrity and visibility into pipeline health.  * Contribute to employer branding through compelling job postings, candidate communications, and social media engagement.  * Collaborate with HRBPs and Finance to ensure hiring plans align with workforce strategy and organizational goals.  Who You Are  * You have a proven track record of recruiting for both revenue-generating and corporate roles.  * You are a trusted partner to hiring managers and thrive in a collaborative environment.  * You have hands-on experience with ATS platforms (like Greenhouse) and sourcing tools (like Gem).  * You are organized, adaptable, and able to manage multiple requisitions with confidence.  * You are passionate about inclusive hiring and delivering exceptional candidate experience.  * You use data to inform decisions and continuously improve recruiting performance.  * You bring creativity and energy to employer branding and candidate engagement.  * You thrive in a fast-paced, remote-first environment.  * You hold a bachelor’s degree or equivalent experience in HR, Business, or a related field.  * You bring 5+ years of full cycle recruiting experience, ideally in tech or education.  * You are willing to take on evolving responsibilities based on business needs.  Job Application Deadline: August 20, 2026 Pay range for this role: $125,000—$135,000 USD At Edmentum, we are committed to pay transparency. The salary range provided reflects market research, the responsibilities of the role, and alignment with our compensation principles. Actual compensation will be determined based on multiple factors, including, but not limited to, relevant experience and skill sets. All compensation decisions are individualized and based on the specific circumstances of each candidate.   We also offer a comprehensive benefits package to support your overall well-being and work-life balance. This includes medical, dental, and vision insurance with various plan options, a 401(k) retirement plan with company matching, and a flexible Time Away Program along with 10 paid holidays, 2 floating holidays, 1 wellness day, and a winter office closure at the end of December. Additionally, we provide resources to promote wellness, ensuring you have the support you need both professionally and personally. Our goal is to provide a benefits package that helps you thrive in all aspects of life. Edmentum is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex, age, disability, status as a disabled, recently separated, Armed Forces service medal or other protected veteran (“covered veteran”), marital status, status regarding public assistance, sexual orientation or any other characteristic protected by applicable federal, state or local laws.  We are dedicated to meeting the needs of individuals with disabilities and to creating an environment that supports our employees' physical and mental health. If you are a qualified individual with a disability or a covered veteran and need a reasonable accommodation to complete any part of the application process, please contact recruiting@edmentum.com [recruiting@edmentum.com]. As part of our hiring process, we may use AI-powered tools to support our HR team in reviewing, screening, and managing applications. These tools aim to improve efficiency, consistency, and fairness, but final decisions are made by our people. Applicants' personal information (e.g., resume, cover letter, qualifications, and application responses) may be processed by third-party AI tools for tasks like resume parsing, skills matching, candidate ranking, and interview scheduling. Edmentum’s notice regarding the collection of personal information from interested candidates is available here [https://www.edmentum.com/about/careers/candidates]