Вакансии

Location: Intellias Meet your recruiter Karolina Sowa karolina.sowa@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND We are looking for a Senior Interoperability Engineer to build and scale healthcare integrations for a Digital Health platform connecting providers, payers, clinical systems, and external healthcare networks. This is a hands-on engineering role focused on Python, Kafka, high-scale APIs, healthcare interoperability, and secure data exchange . What project we have for you The platform connects healthcare data from multiple clinical and administrative systems and makes it available through secure, standards-based APIs. The Interoperability domain is responsible for building and operating integrations with external healthcare systems, processing high-volume data exchange, and providing reliable APIs consumed by internal products and partners. The engineering environment is based on Python, event-driven architecture, Kafka, REST/FHIR APIs, OAuth-based security, and cloud-native services . What you will do Design and develop scalable healthcare interoperability services and APIs . Build event-driven integrations using Python and Kafka . Implement and support FHIR-based healthcare data exchange. Develop secure APIs using OAuth 2.0/OIDC and JWT . Integrate external healthcare systems, data providers, and partner APIs. Implement data validation, transformation, mapping, and error-handling logic required for interoperability workflows. Troubleshoot complex integration, authentication, and distributed-system issues. Improve API performance, scalability, reliability, and observability. Build automated tests covering API behavior and integration scenarios. Participate in architecture discussions, code reviews, and engineering standards. What you need for this Requirements: 5+ years of professional backend or integration engineering experience. Strong hands-on experience with Python in production environments. Experience designing and operating high-scale REST APIs and backend services . Strong experience with Kafka or comparable event-streaming technologies. Solid understanding of distributed and event-driven architectures . Strong experience with API authentication and authorization, including OAuth 2.0, OIDC, and JWT . Experience integrating external systems and APIs in complex enterprise environments. Hands-on experience with FHIR or healthcare interoperability APIs . Strong understanding of API reliability, error handling, retries, idempotency, and observability. Experience with SQL and/or NoSQL databases. Experience with Docker, cloud-native environments, and CI/CD. Strong troubleshooting and production problem-solving skills. Nice to Have: Experience with FHIR R4, SMART on FHIR, US Core, or USCDI . Knowledge of HL7 v2 or CDA/C-CDA . Experience integrating EHR/EMR, payer, HIE/HIN, pharmacy, or laboratory systems. Experience with Patient Access APIs, Bulk FHIR, or CMS interoperability requirements . Experience with Kubernetes and AWS. Healthcare or Digital Health domain experience. Experience using AI-assisted engineering tools in day-to-day software development. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Diana Meneses diana.meneses@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Senior United States Remote APPLY NOW REFER A FRIEND We are looking for a Senior Interoperability Engineer to build and scale healthcare integrations for a Digital Health platform connecting providers, payers, clinical systems, and external healthcare networks. This is a hands-on engineering role focused on Python, Kafka, high-scale APIs, healthcare interoperability, and secure data exchange. What project we have for you The platform connects healthcare data from multiple clinical and administrative systems and makes it available through secure, standards-based APIs. The Interoperability domain is responsible for building and operating integrations with external healthcare systems, processing high-volume data exchange, and providing reliable APIs consumed by internal products and partners. The engineering environment is based on Python, event-driven architecture, Kafka, REST/FHIR APIs, OAuth-based security, and cloud-native services. What you will do Design and develop scalable healthcare interoperability services and APIs . Build event-driven integrations using Python and Kafka . Implement and support FHIR-based healthcare data exchange. Develop secure APIs using OAuth 2.0/OIDC and JWT . Integrate external healthcare systems, data providers, and partner APIs. Implement data validation, transformation, mapping, and error-handling logic required for interoperability workflows. Troubleshoot complex integration, authentication, and distributed-system issues. Improve API performance, scalability, reliability, and observability. Build automated tests covering API behavior and integration scenarios. Participate in architecture discussions, code reviews, and engineering standards. What you need for this Requirements: 5+ years of professional backend or integration engineering experience. Strong hands-on experience with Python in production environments. Experience designing and operating high-scale REST APIs and backend services . Strong experience with Kafka or comparable event-streaming technologies. Solid understanding of distributed and event-driven architectures . Strong experience with API authentication and authorization, including OAuth 2.0, OIDC, and JWT . Experience integrating external systems and APIs in complex enterprise environments. Hands-on experience with FHIR or healthcare interoperability APIs . Strong understanding of API reliability, error handling, retries, idempotency, and observability. Experience with SQL and/or NoSQL databases. Experience with Docker, cloud-native environments, and CI/CD. Strong troubleshooting and production problem-solving skills. Nice to Have: Experience with FHIR R4, SMART on FHIR, US Core, or USCDI . Knowledge of HL7 v2 or CDA/C-CDA . Experience integrating EHR/EMR, payer, HIE/HIN, pharmacy, or laboratory systems. Experience with Patient Access APIs, Bulk FHIR, or CMS interoperability requirements . Experience with Kubernetes and AWS. Healthcare or Digital Health domain experience. Experience using AI-assisted engineering tools in day-to-day software development. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Healthcare Kafka Python

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Architect on our Data Substrate team About the job Twilio runs on data, and the platform underneath it is entering a major shift. Open table formats, the convergence of lakes and warehouses, tightening privacy regulation, and AI workloads are all changing what a data platform has to do. We’re hiring an Architect to set our direction through that shift and to make sure the systems we build over the next 3-5 years are the right ones. You’ll own the technical strategy for our data platform, spanning storage, lake and lakehouse architecture, catalog and governance, and privacy-by-design. You’ll work across org boundaries, setting standards that dozens of teams build on and raising the technical bar for the engineers around you. Responsibilities In this role, you’ll: Own the architecture and multi-year technical strategy for the data platform, including the lake/lakehouse, ClickHouse, Elasticsearch, and governance, and keep them coherent as one platform rather than separate systems. Define where each engine fits (for example, ClickHouse versus open table formats on object storage) and the migration path between them. Make and document the major design decisions (ADRs, RFCs) on storage and open table formats, catalog strategy, compute engines, tenancy, data placement, and build-versus-adopt tradeoffs, with cost and performance at petabyte scale as explicit design constraints. Set the reference architectures for how our core storage and query engines (ClickHouse, Elasticsearch, and lake engines) are deployed, tuned, scaled and operated as shared platforms, including capacity, cost, tenant isolation, and upgrade strategy. Define the reliability model for the platform: availability targets, failure domains, disaster recovery, observability, and incident response patterns that teams can adopt. Build privacy and compliance into the architecture, not onto it. Design deletion and right-to-erasure, retention, data residency, and PII classification so they work across the platform’s storage layers, backups, and derived datasets, including data that arrives from upstream streaming systems. Drive data governance: classification, catalog and metadata, lineage, access control integrated with our authentication and authorization systems, data contracts, quality and integrity standards, and a catalog teams actually use. Review designs and technical direction across the org, and act as the escalation point on hard distributed-systems and performance problems. Mentor principal and senior engineers, and grow architectural judgment across the org, not only within one squad. Partner with product, security, infrastructure and consuming teams to turn business needs into platform roadmaps, and say no or re-sequence when the tradeoffs require it. Track emerging data technologies (such as streaming-first architectures, federated query, and AI-ready data layers) and bring forward the ones worth adopting, with evidence from prototypes or benchmarks. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 15+ years of experience in software development or a related field, with at least 8 years in an architecture or senior technical leadership role. Proven track record of architecting and delivering large-scale data platforms and setting their technical strategy, on cloud infrastructure such as AWS, deployed with Kubernetes, Terraform and Helm. Deep expertise in storage and compute for analytical data: columnar and open table formats, lake and lakehouse architecture, partitioning, indexing, query planning, and how the choices affect cost and performance at petabyte scale. Breadth across data storage and retrieval technologies, with hands-on depth in at least two of: analytical/OLAP engines (e.g., ClickHouse), search engines (e.g., ElasticSearch/OpenSearch), and lake or distributed processing engines (e.g., Spark, Trino, Flink). You can reason about when to use each, how they interoperate, and how to migrate between them. Working knowledge of streaming systems (e.g., Kafka) and how they interact with downstream storage. Practical experience designing data governance at scale: data classification, catalog and metadata management, lineage, and access control integrated with authentication and authorization systems. Practical experience implementing privacy and compliance requirements (deletion, retention, residency) across a large, heterogeneous data estate. Proficiency in one or more of Python, Java, and Go. Track record of writing and driving architecture decisions across multiple teams, and of changing the direction of an organization’s technical roadmap through influence rather than authority. Experience elevating engineering standards and mentoring senior engineers across teams. Demonstrated commitment to operational excellence: architecting for high availability, observability and incident response in distributed systems, and being credible when a platform is failing in production. Strong written and verbal communication, including making a complex tradeoff clear to engineers and to senior leadership. Desired: Experience operating one of these engines (e.g., ClickHouse, ElasticSearch) at scale, including replication, sharding, ingestion behavior, and multi-tenant isolation. Experience with catalog and metadata systems (e.g., Unity Catalog, Glue, Polaris, DataHub) and open table format catalog strategy. Experience with a platform migration across domains or ownership models, such as moving from central to domain-owned data. A track record of measurable cost optimization on large data platforms. Networking and network security knowledge. Location This role will be remote, and based in the United States. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $207,200 - $233,100. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $219,360 - $246,780. Based in the San Francisco Bay area, California: $243,680 - $274,140. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until 1/4/2027 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: New York or Remote (US); South America; Europe Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE We are looking for an accomplished Chain Engineer with a security focus to join our existing highly-skilled global protocol team. You will build and harden the core of the Injective chain, making sure every module, upgrade and integration is safe before it reaches mainnet. You'll work alongside protocol engineers from spec to release, reviewing designs for attack vectors, auditing native chain code and EVM contracts, and building the tooling that keeps the chain secure over time. We're looking for someone who can work autonomously, has a hacker mentality, and thinks like an attacker while building like an engineer. If you're an autonomous engineer with a strong security mindset who enjoys working with a high degree of ownership, and you're looking to protect and strengthen the financial infrastructure of one of the fastest growing blockchains, this role is for you. RESPONSIBILITIES: - Execute internal security audits of Injective's Cosmos-SDK modules, including the decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment - Review and audit EVM smart contracts, EVM integrations, and cross-chain bridge and IBC components - Partner with senior protocol engineers to build security into new chain features from day one, threat-modeling both technical and economic risks (e.g. oracle manipulation, MEV, liquidation and market-manipulation attacks) - Build, maintain, and test hardened core components of the chain (consensus, state management, financial infrastructure), and fix vulnerabilities directly in the codebase - Develop security tooling such as fuzzers, invariant and property-based tests, static analysis, and on-chain monitoring and alerting - Review chain upgrades and pull requests with a focus on determinism, consensus safety, denial-of-service vectors, and state-machine correctness - Write clear, high-quality security reports, both internal and public, and coordinate with external auditors, bug bounty researchers, and partners on findings and disclosure - Take part in incident response, and drive post-mortems and remediation when issues arise - Research and track the latest blockchain exploits and security developments, and share learnings with the wider team   WHO YOU ARE: - Minimum of 3 years' experience as a Blockchain Engineer, with a significant focus on security - 5+ years of experience in software security - Hands-on experience auditing (internally or externally) DeFi protocols or blockchain core code, with findings you can speak to - Solid understanding and proficiency of Golang and/or Solidity - Strong knowledge of Go idioms, libraries, and parallel processing, plus the security pitfalls common in Go and Cosmos-SDK chains (non-determinism, panics, unbounded iteration, gas and DoS issues) - Strong knowledge of blockchain, DeFi & DEX concepts, consensus mechanisms, CosmWasm contract platform - Solid understanding of cryptography primitives, including digital signatures and the hash algorithms used by Ethereum and Cosmos - Ability to write clear security reports and explain risk to both technical and non-technical team members NICE TO HAVES: - A track record in bug bounties, CTFs, or published audits and CVEs - Experience with fuzzing and formal verification tools - Prior experience working in trading or at an exchange - Knowledge of financial instruments and markets WHY WORK WITH US? - Competitive salary and INJ token award - Remote-friendly work environment with flexible hours. - Unlimited PTO - Equipment - Home Office Stipend - Opportunity to work on cutting-edge blockchain technology in the finance industry. - Collaborative team culture with opportunities for professional growth and development - Global team meetups As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Location: New York or Remote (US); South America; Europe Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE We are looking for an accomplished DeFi Protocol Engineer with a strong background in financial systems who can fit into an existing highly skilled global dev team. Your role is to work closely with the protocol team to brainstorm, write specs, implement, and test chain features for our Injective DeFi modules, bringing real-world trading and exchange expertise to how they are designed. You also have the freedom to detect and take ownership to improve chain performance and scalability via kvstore optimization, processing logic, and the order matching engine. If you're an autonomous engineer with strong financial experience who enjoys working with a high degree of ownership, and you're looking to make a real impact on one of the fastest-growing blockchains, this role is for you. RESPONSIBILITIES: - Build, maintain, and test core components on our Cosmos-SDK protocol, including our decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment - Design and implement financial primitives on-chain (derivatives, margining, liquidations, pricing and risk logic), translating proven TradFi practices into robust protocol features - Develop and optimize core components of the Injective blockchain (consensus, state management, financial infrastructure and applications) - Take end-to-end ownership of features, from requirement gathering and specs through architecture, implementation, testing and deployment - Write open-source Golang clients that allow users to interact directly with our protocol and smart contracts - Contribute to the research and development of new blockchain features and technologies - Work closely with cross-functional teams, including front-end developers, back-end developers, and quality assurance engineers, to deliver comprehensive blockchain solutions - Collaborate with external partners and open-source communities to enhance our blockchain ecosystem WHO YOU ARE: - Minimum of 3 years’ experience as a Blockchain Engineer - Strong prior experience in finance, ideally building trading systems, exchanges, or algo trading/derivatives platforms at a bank, trading firm, or exchange - Track record of building large, complex, and performant distributed systems in production - Worked on at least two production Golang codebases that are reasonably large and performant - Strong knowledge of Go idioms, libraries, and parallel processing - Strong knowledge of blockchain, DeFi & DEX concepts, consensus mechanisms, CosmWasm contract platform - Strong knowledge of CS fundamentals such as data structures and API design - Self-driven and comfortable owning problems end-to-end with minimal oversight - Ability to communicate technical concepts with other technical and non-technical team members NICE TO HAVES: - Experience with Cosmos-SDK/Tendermint - Deep knowledge of financial instruments and markets (derivatives, credit, perpetuals, options) - Experience with low-latency or high-throughput trading infrastructure - Experience with cryptography libraries, including digital signatures and hash algorithms used by Ethereum and Cosmos - Experience with key-value databases, especially ones used by cosmos-sdk - Experience with Ethereum/Solidity WHY WORK WITH US? - Competitive salary and INJ token award - Remote-friendly work environment with flexible hours - Unlimited PTO - Equipment - Home Office Stipend - Opportunity to work on cutting-edge blockchain technology in the finance industry - Collaborative team culture with opportunities for professional growth and development - Global team meetups As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Location: Intellias Meet your recruiter Joao Lima joao.lima@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Senior Romania Hybrid APPLY NOW REFER A FRIEND Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value What project we have for you We are looking for a hands-on Senior AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP-based integrations. The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team. The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and participate directly in implementation. What you will do Lead technical discovery and translate business use cases into AI/agentic solution designs. Design the architecture of AI agents and their interaction with local and global MCP services. Design and develop MCP services exposing capabilities of local applications to AI agents. Build enterprise AI agents and agentic workflows. Integrate agents with multiple MCP servers, APIs and enterprise systems. Define agent instructions, reasoning flows, tool-selection logic, approval workflows and human-in-the-loop guardrails. Define reusable patterns and engineering standards for MCP and agent development. Lead and support other AI engineers during implementation. Ensure compliance with enterprise security, architecture and AI governance requirements. Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost. Collaborate with global AI/platform teams to ensure interoperability between local and global MCP capabilities. What you need for this Required skills Strong hands-on Python engineering experience. Experience building LLM-based applications, AI agents or agentic workflows . Strong knowledge of REST APIs and enterprise integrations. Strong Microsoft Azure experience. Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID. Understanding of tool/function calling and agent-to-system integration patterns. SQL, JSON, Git and CI/CD. Ability to design production-grade solutions and provide technical leadership. Strong English communication skills. Strong advantage Hands-on Model Context Protocol (MCP) experience. Azure AI Foundry / Azure OpenAI. Copilot Studio. Power Automate. Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar. Azure Functions / API Management / Logic Apps. Experience with enterprise AI governance, evaluation and observability. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Gerasim Naydenov gerasim.naydenov@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Principal Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Lead Healthcare Data Engineer to join a large-scale digital healthcare initiative focused on building a FHIR-based health data platform and transforming fragmented healthcare data into clean, standardized, and trustworthy information. The role requires both deep hands-on engineering expertise and broad technical influence — establishing reusable frameworks and standards, mentoring experienced engineers, and raising the engineering bar across the team. What project we have for you We’re helping a US digital-health platform get its patients’ medical data in order: lab results, diagnoses, medications, visits and more. The data comes from many different clinics and labs, each with its own format, so right now it’s pretty messy. Our job is to clean up and standardize that data close to the source, bring scattered logic into one place, and see the real data quality every day instead of guessing. Data engineers will work mostly in Databricks/Spark, building pipelines, reference data and quality checks together with the dev team and clinical experts. What you will do Set the technical direction for healthcare data engineering across ingestion, transformation, validation, normalization, and delivery. Own the end-to-end architecture of large-scale distributed data pipelines transforming heterogeneous source data into clean, standards-conformant FHIR. Design and evolve scalable solutions using Python, Spark/PySpark, Databricks/Delta Lake , and modern data-processing technologies. Diagnose and eliminate complex performance and scalability bottlenecks across distributed data workloads. Establish standards and reusable frameworks for data quality, deduplication, patient/record linking, terminology normalization, and reliable idempotent processing . Define architectural patterns for FHIR transformation, validation, schema evolution, and production delivery. Build and evolve automated testing and validation capabilities for data quality and FHIR conformance . Establish engineering patterns and reusable tooling that allow the broader team to deliver new healthcare data capabilities faster and more consistently. Champion PHI-safe engineering practices and ensure healthcare data solutions meet applicable security, privacy, and compliance requirements. Make AI-native engineering a practical part of the team’s development model , using coding agents and reusable AI capabilities to automate repetitive work and accelerate complex engineering tasks. Establish engineering guardrails for AI-assisted development, ensuring AI-generated solutions remain correct, tested, secure, observable, and PHI-safe. Determine where deterministic processing provides better reliability than AI/LLM-based approaches and establish appropriate architectural patterns for both. Mentor Senior and Middle engineers through design reviews, pairing, technical guidance, and knowledge sharing. Drive complex, ambiguous engineering problems from initial investigation through architecture, implementation, and production operation. Collaborate with engineering, product, security, data, and healthcare-domain stakeholders to translate complex interoperability requirements into scalable technical solutions. Represent strong healthcare data engineering practices in relevant architecture, standards, and technical discussions. What you need for this 8+ years of professional experience in data engineering, healthcare data platforms, HealthTech, or healthcare interoperability. Proven Lead-level technical ownership of complex production systems, including the ability to set technical direction and solve problems spanning multiple components and engineering teams. Strong hands-on expertise in Python and production-grade data engineering. Deep experience with Apache Spark/PySpark at scale , including partitioning, performance optimization, memory tuning, and distributed processing. Experience with modern lakehouse technologies such as Databricks and Delta Lake , or comparable platforms. Strong experience designing and operating large-scale ETL/ELT pipelines , including CDC, incremental/delta processing, idempotency, schema evolution, and batch/streaming workloads. Proven experience diagnosing and eliminating complex performance and scalability bottlenecks in distributed data-processing systems. Deep hands-on experience with FHIR R4 , including resources, profiles, Bundles, validation, and large-scale healthcare data transformation. Strong knowledge of US Core, USCDI, HL7 v2.x , and C-CDA-to-FHIR transformation patterns. Strong understanding of healthcare terminology standards including SNOMED CT, LOINC, and RxNorm . Experience working with clinical, claims, coverage, eligibility, or comparable healthcare data models. Strong experience with data quality, deduplication, record/patient linking, terminology normalization, and validation . Strong SQL skills and understanding of data modeling, schema evolution, data quality, and production data architecture. Experience with Git, CI/CD, automated testing, observability, and production operations . Strong understanding of healthcare security, privacy, and regulatory requirements, including HIPAA and PHI-safe engineering practices. Proven ability to establish reusable engineering frameworks, architectural patterns, standards, and data-quality practices adopted by other engineers. Demonstrated technical leadership through architecture/design reviews, mentoring, pairing, and cross-team engineering influence. Practical experience using AI coding agents such as Claude Code or comparable agentic engineering tools as an integral part of the development lifecycle. Strong engineering judgment around when to use AI/LLM-based approaches versus deterministic rule-based solutions , particularly where correctness, cost, performance, or PHI safety are critical. Professional English sufficient for direct collaboration with U.S.-based technical and business stakeholders. Nice to Have Deep experience with large-scale FHIR data modeling and healthcare interoperability platforms . Experience with Master Patient Index (MPI), patient matching, identity resolution , or large-scale record linkage. Experience with payer data exchange, including CARIN Blue Button , Da Vinci implementation guides, or similar standards. Experience working with pharmacy, laboratory, or other specialized healthcare datasets. Knowledge of ICD-10 , CPT, CVX , and additional clinical terminology/code systems. Experience with 21st Century Cures Act, ONC certification, CMS Interoperability Rule , or related U.S. healthcare regulatory frameworks. Experience building LLM/agent-based capabilities for clinical data extraction, normalization, terminology mapping, or healthcare data quality . Experience designing reusable AI skills or agentic workflows adopted across engineering teams. Contributions to open-source healthcare, FHIR/HL7 communities, or relevant industry working groups. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Healthcare Python Spark

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. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In the UK, the base compensation range for this role is GBP 74,342 - 89,210. 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: 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. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 640,484 - SEK 768,580. 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. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Spain, the base compensation range for this role is EUR 67,238 - EUR 80,686. 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. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 84,048 - EUR 100,858. 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: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Product Marketing at Grafana Labs lives in the Product org, not the Marketing org, and we think differently about the job. As Grafana's offering shifts from dashboards to observability agents, our team closes the gap between what our products can do and how customers understand that value. We build clear, consistent positioning, run marketing campaigns that attract new customers, and create content that helps engineering teams see why Grafana Cloud is the right choice for them. Rather than only executing launches and campaigns, we teach Grafana’s product managers and engineers how to think about growth and demand. We also codify product marketing knowledge into AI-forward tools and processes that anyone at Grafana can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. The Operations Manager keeps the Product Marketing system running and makes it better. You'll track how our work performs and report on it to the team every week, experiment with new AI workflows, and maintain the collateral and tools the team and the field depend on, so the sales team is fully supported in positioning our products. You'll work closely with the team's software engineers: you test ideas like sales deck generators or tools for competitive analysis, script prototypes, and define what good output looks like, and they turn the best ideas into production tools. You'll also coordinate with the field, Enablement, and Marketing so we understand each other's goals and make progress on shared initiatives. For this role you don't need to be a product marketer but you should have experience working inside a Product or Marketing organization for a software company. Since we don’t have an operations manager yet, you’ll also help to shape your own role. You should arrive with a desire to find and solve imperfectly-defined problems. What You'll Be Doing: Projects and Cross-Functional Initiatives : Drive cross-functional initiatives that align with product marketing strategies across GTM, Product, and Marketing teams. Own follow-ups, task tracking, and on-time completion. Cross-Team Coordination : Coordinate with the field, Enablement, and Marketing teams so we understand each other's goals and priorities. Track shared initiatives, and coordinate enablement activities with the Enablement team. Analytics and Reporting : Track the product marketing team's key metrics, such as how our content, enablement sessions, and launches perform and who uses them. Interpret and report on them to the team every week. AI Experimentation and Prototyping : Try out new AI workflows and tools, using AI to write scripts and checking that they work. Decide what good output looks like and codify that judgment in evaluations, working alongside the software engineers on our team as they refine and deploy tools. Hand the most promising prototypes to engineers to make production-ready. For example, you might test a deck generator with sellers, write evals for it, and communicate about it internally. Collateral Management : Maintain the team's most important collateral, including core decks, positioning content, and enablement sessions. Keep it accurate and current, share it widely, and make sure sellers know where to find it and how to use it. Knowledge Base Stewardship : Help keep our shared product knowledge base complete and current. Spot missing or stale information, chase down the owners, and improve the processes that keep it up to date. What Makes You a Great Fit: 2+ years in an operations, analytics, enablement, or technical support role within a Product or Marketing organization for a software company. Strong analytical judgment: you use AI and other tools to pull data, check the results instead of taking them at face value, and turn the numbers into clear recommendations Proficiency with AI agents, including building skills and automated workflows that more than one person uses Good judgment about what makes AI output good, and the ability to codify that judgment in evaluations Ability to quickly understand our products and describe their value: what SREs and platform engineers do, and how observability products help them Ability to build dashboards and pages in Grafana, or to learn quickly Strong project management and organizational skills Excellent verbal and written communication skills, including presenting data to a team Bonus Points For: Strong bias to action: you build, test, and ship instead of waiting for permission Able to manage multiple projects and priorities at once Adaptable, flexible, and comfortable in a fast-paced environment High emotional intelligence and strong interpersonal skills Our team knows its goals and can see its progress toward them More people outside the team use our AI tools and collateral Collaboration with the field, Enablement, Marketing, and other partner teams runs more smoothly, leading to better working relationships and more impact across the org Compensation & Rewards: In Germany, the base compensation range for this role is EUR 78,336 - EUR 94,003. 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 .

Разрабатывать Android-функциональность нового AI-продукта Нового мобильного приложения. Реализовывать экраны и пользовательские сценарии на Kotlin и современном Android-стеке.

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Colombia, Croatia, Poland, Portugal, Spain, Ukraine, United States Remote APPLY NOW REFER A FRIEND Intellias is looking for a Senior Data Engineer to join a digital healthcare initiative focused on building a large-scale health data platform that helps millions of people discover healthcare providers, connect with their health information, and make better-informed care decisions. This is a hands-on, high-ownership engineering role for someone experienced in building and operating data-intensive systems at scale. You will own critical data ingestion and processing capabilities, improve data quality and reliability, and develop AI-powered solutions for complex real-world healthcare data challenges. We are looking for an engineer who combines strong Python and data engineering expertise with cloud-native development, production ownership, and an AI-first engineering mindset . What project we have for you The project is building a FHIR-based healthcare data platform that aggregates provider information from national registries, EHR systems, healthcare networks, and partner data feeds. The platform ingests fragmented and often inconsistent healthcare data, transforms it into standardized FHIR resources, resolves duplicate identities and relationships, and makes trusted provider information available through high-scale search and data services. The engineering challenge goes well beyond traditional ETL. Provider data comes from hundreds of heterogeneous sources and contains duplicates, outdated records, conflicting identities, incomplete relationships, and inconsistent schemas. The platform must determine how these sources relate and continuously improve the accuracy and confidence of the resulting data. The technology landscape includes Python, Apache Spark, Prefect, AWS, Kubernetes, MongoDB, OpenSearch, and FHIR , with AI increasingly used both as part of the engineering lifecycle and within data-processing solutions. What you will do Design, build, and operate scalable data ingestion pipelines that onboard healthcare provider data from EHR systems, national registries, healthcare networks, and partner feeds. Transform heterogeneous source data into standardized, trusted data models, including FHIR-native resources . Own data quality end-to-end , including validation rules, quality thresholds, confidence scoring, automated monitoring, and alerting. Design and implement solutions for entity resolution, deduplication, relationship inference, classification, enrichment, and data quality scoring . Build and evolve distributed data processing pipelines using Python, Spark, and modern orchestration technologies . Improve pipeline reliability, scalability, observability, and performance so that new data sources can be onboarded efficiently and safely. Establish and evolve data governance standards , including schemas, staging models, validation processes, and data refinement workflows. Design and operate data storage and search solutions supporting large-scale healthcare datasets. Build AI-powered data tooling that improves the accuracy, automation, and intelligence of data processing workflows. Use modern AI development tools as an integral part of the engineering workflow to accelerate implementation, testing, debugging, documentation, and data analysis. Own production operations for the solutions you build, including monitoring, troubleshooting, incident response, and root-cause analysis. Partner with Analytics and Data Science teams to develop data quality dashboards, metrics, and reporting. Collaborate with Product and Business stakeholders to prioritize data sources and improvements based on customer and business impact. Contribute to technical design reviews and help establish scalable engineering patterns across the broader data platform. What you need for this 5+ years of professional experience building and operating data-intensive backend or data engineering systems at scale. Strong hands-on expertise in Python , including development of production-grade data processing and backend services. Strong experience designing and building scalable data ingestion and ETL/ELT pipelines for large and heterogeneous datasets. Sound data engineering instincts, including data modeling, storage design, schema evolution, query optimization, caching strategies, and selecting appropriate batch or streaming processing patterns. Hands-on experience with Apache Spark or Databricks for distributed data processing. Experience with workflow orchestration technologies such as Prefect, Apache Airflow , or equivalent. Strong understanding of data modeling, schema design, validation strategies, data transformation, and data quality management . Experience designing solutions for data deduplication, entity resolution, data enrichment, classification, or record linkage . Experience with both relational and document-oriented databases; practical knowledge of technologies such as MongoDB or comparable NoSQL platforms. Experience with search technologies such as OpenSearch, Elasticsearch , or comparable solutions. Strong AWS experience, including services such as S3, ECS/EKS, Lambda , or equivalent cloud-native technologies. Hands-on experience with Docker, Kubernetes, CI/CD , and operating cloud-native workloads in production. Strong understanding of production data pipeline concerns including reliability, fault tolerance, observability, monitoring, alerting, and incident response . Experience establishing and maintaining data governance standards , schemas, validation rules, and repeatable data refinement processes. Practical experience using AI-assisted software engineering tools as part of the regular development lifecycle. Strong ownership mindset and ability to independently identify data or engineering problems, propose solutions, implement them, and operate them in production. Strong communication skills and ability to collaborate directly with engineering, analytics, product, data science, and business stakeholders. Professional English sufficient for direct collaboration with U.S.-based teams. Nice to Have Experience working with healthcare data, HealthTech platforms, or healthcare interoperability . Knowledge of FHIR , particularly resources such as Practitioner, Organization, PractitionerRole, Endpoint, and Location. Experience integrating data from EHR/EMR systems, healthcare registries, provider networks , or similar complex data ecosystems. Experience designing data platforms handling PHI/PII or other regulated and sensitive information . Familiarity with HIPAA-related data protection and security considerations. Experience building AI-powered data processing solutions , particularly entity resolution, relationship inference, classification, enrichment, anomaly detection, or data quality scoring. Practical experience integrating LLMs into production data workflows , including evaluation, reliability, latency, cost, and data-protection considerations. Experience with AI engineering tools such as Claude Code, GitHub Copilot, Cursor , or similar platforms. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Python Spark

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 fully remote position and we're considering candidates in the UK. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the UK, the base compensation range for this role is GBP 94,508 - 113,410 . 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 States (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 fully remote position and we're considering candidates in the US EST. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the United States, the base compensation range for this role is $167,143 - $200,572 . 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: 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 fully remote position and we're considering candidates in Sweden. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Sweden, the base compensation range for this role is SEK 814,216 - SEK 977,059 . 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 fully remote position and we're considering candidates in Spain. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In Spain, the base compensation range for this role is EUR 85,478 - EUR 102,573 . 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 .