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Location: Remote; Remote or Boston, MA Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable – and we’re looking for passionate people to help us get there. For more information, visit arcadia.io Why This Role Is Important to Arcadia Arcadia's Life Sciences business delivers de-identified clinical and claims data products and develops sponsored programs that support patient cohort identification, provider alerting and actioning, patient engagement, and outcomes reporting. These efforts require coordinated execution across Sales, analytics, engineering, QA/QC, and Delivery & Operations. The Project Delivery Manager, Life Sciences will organize that execution. This person will manage multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. The role will also provide supporting coordination for the Life Sciences feasibility queue. This is an individual-contributor role for someone who brings practical judgment, disciplined follow-through, and the interpersonal skill to create accountability without direct authority. The successful candidate will keep complex work moving without adding unnecessary process. What Success Looks Like In 3 Months •  Develop a working understanding of Arcadia's Life Sciences data products, sponsored programs, active projects, and the teams responsible for analysis, development, testing, and operations. •  Establish effective working relationships across Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations. •  Begin managing assigned solutioning projects through clear project plans, milestones, dependencies, responsibilities, risks, issues, decisions, and status reporting. •  Introduce consistent, practical project-management templates and working practices in Jira and Confluence without creating unnecessary administrative burden. •  Demonstrate early identification and escalation of risks that could affect project completeness or timing. •  Become familiar with the feasibility process and begin supporting queue coordination and status visibility. In 6 Months •  Independently manage multiple simultaneous Life Sciences solutioning projects from finalized sales agreement through implementation and turnover. •  Facilitate requirements discussions and ensure requirements, acceptance criteria, dependencies, decisions, and responsibilities are clearly documented. •  Maintain a reliable project cadence that keeps leaders and contributors informed of progress, upcoming decisions, risks, issues, and required actions. •  Coordinate customer and channel-partner discussions related to solutioning projects and ensure resulting requirements, decisions, and actions are captured and advanced. •  Ensure project workstreams, including analysis, technical development, testing, documentation, and implementation readiness, progress toward complete and timely delivery. •  Coordinate structured project turnover to Delivery & Operations, including required runbooks, known issues, outstanding items, and clearly assigned ownership. •  Provide supporting coordination for feasibility requests, helping maintain clear priorities, ownership, and status. In 12 Months •  Establish a consistent record of complete, on-time delivery across assigned Life Sciences projects. •  Be recognized as a reliable source of project status, ownership, dependencies, risks, issues, and upcoming decisions. •  Reduce late-stage surprises through early identification, communication, and escalation of project risks, resource constraints, and unresolved decisions. •  Establish a practical, repeatable project-execution framework across Life Sciences data products and sponsored programs. •  Improve project transition and turnover by ensuring sufficient documentation, runbooks, ownership, and implementation readiness. •  Identify recurring execution obstacles and recommend improvements that strengthen accountability, collaboration, and delivery predictability. What You'll Doing Project Planning and Execution •  Manage multiple Life Sciences solutioning projects from finalized sales agreement through implementation and turnover, with complete and on-time project delivery. •  Create and maintain clear project planning activities, milestones, dependencies, responsibilities, decisions, risks, issues, and action items. •  Organize and coordinate project activities across the Life Sciences team and supporting functions, maintaining clear ownership, prioritization, alignment, and progress across contributors. •  Establish a dependable meeting and reporting cadence appropriate to each project's complexity and customer commitments. •  Monitor progress, identify obstacles early, secure accountable owners, and escalate risks or unresolved decisions when necessary. Requirements and Stakeholder Coordination •  Facilitate requirements discussions and document agreed business and technical documentation, acceptance criteria, assumptions, and decisions. •  Build alignment across participating teams on priorities, responsibilities, dependencies, timelines, and execution approach. •  Facilitate customer and channel-partner discussions related to in-flight solutioning projects, ensuring requirements, decisions, action items, and next steps are clearly documented and communicated. •  Prepare concise status reporting for internal leaders and, when appropriate, customers and channel partners. •  Maintain project documentation in Jira and Confluence so current plans, decisions, and ownership are accessible to the people doing the work. Implementation Readiness and Operations Turnover •  Ensure all project workstreams, including requirements, analysis, technical development, testing, documentation, and implementation readiness, are appropriately planned, prioritized, and completed on time. •  Coordinate readiness reviews and confirm that agreed QA/QC activities, acceptance criteria, dependencies, and outstanding issues are understood before implementation. •  Coordinate the transition of completed projects to Delivery & Operations, ensuring required runbooks, known issues, outstanding items, and ownership are clearly documented. •  Facilitate project retrospectives and turn recurring lessons into practical improvements for future projects. Feasibility Support •  Support coordination of the Life Sciences feasibility queue, facilitating prioritization of new Sales demand against existing activities and commitments across the Life Sciences team. •  Maintain visibility into feasibility-request status, ownership, dependencies, and expected completion. Tools and Working Environment •  Project workflow and documentation: Jira and Confluence •  Project management best practices: project plans, RACI models, milestone and dependency tracking, risk and issue management, decision records, action tracking, and status reporting •  Data environment familiarity: healthcare data schemas, claims and clinical data, data pipelines, QA/QC practices, and software development lifecycle concepts •  Collaboration: remote, cross-functional teams supporting data products, analytics, software development, and customer delivery What You'll Bring Education •  Completion of a postsecondary degree, certificate, apprenticeship, or comparable structured educational program. Experience •  Five or more years of practical experience managing healthcare data, technology, analytics, implementation, or similarly complex cross-functional projects. •  Demonstrated success managing multiple concurrent projects through complete and timely delivery. •  Experience coordinating technical and nontechnical contributors without direct reporting authority. •  Hands-on experience with Jira and Confluence for planning, documentation, action tracking, and status reporting. •  Experience facilitating requirements discussions and maintaining clear project documentation, including responsibilities, dependencies, risks, issues, decisions, and acceptance criteria. •  General understanding of healthcare data structures, data pipelines, QA/QC, and software development lifecycle practices. Coding experience is not required. Skills •  Practical judgment and a straightforward working style focused on completing the work rather than adding process for its own sake. •  Strong organizational skills, attention to detail, and disciplined follow-through across multiple projects and competing priorities. •  Ability to create clarity, alignment, and accountability across teams without relying on formal authority. •  Clear written and verbal communication, including concise status reporting and appropriate escalation of risks and issues. •  Strong facilitation skills and the confidence to guide discussions toward decisions, owners, and next steps. •  Comfort working through ambiguity while maintaining momentum and identifying where leadership decisions are required. •  A collaborative approach and sound interpersonal judgment when working with internal teams, customers, and channel partners. Would Love For You To Have •  Experience managing projects involving healthcare claims, EHR, clinical, or other real-world data. •  Experience working for a healthcare data vendor, healthcare technology company, analytics organization, or life sciences company. •  Familiarity with projects involving patient cohort identification, provider alerting and actioning, dashboards, patient engagement, or outcomes reporting. •  Experience coordinating data-pipeline, analytics, or software-development work through testing and implementation readiness. •  Familiarity with Snowflake, AWS, SQL, or modern data-platform concepts sufficient to follow technical discussions; hands-on coding is not required. •  Project-management or Agile training or certification. Practical experience and judgment are more important than a specific certification. What You'll Get •  A central role in helping Arcadia's Life Sciences team deliver complex data and technology projects with greater clarity and predictability. •  Direct exposure to Life Sciences leadership team, analytics and engineering teams. •  Opportunities to work on programs that connect real-world data, provider workflows, and life sciences research and engagement. •  A flexible, fully remote work environment with the autonomy to establish practical ways of working. •  The opportunity to help shape program practices as Arcadia's Life Sciences business grows •  The opportunity to use advanced AI and agentic workflow capabilities to improve program planning, coordination, documentation, and execution •  Membership in Arcadia's talented, purpose-driven community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Remote Workplace: remote Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.   Why This Role Is Important To Arcadia The Technical Product Manager, Life Sciences sits at the intersection of product strategy and engineering execution, embedded directly with our teams to turn complex healthcare data and platform capabilities into products our customers rely on. This role owns the technical depth of the product lifecycle while keeping the team anchored to customer value and business outcomes. You will be the connective tissue between Product and Engineering: fluent enough in the technical stack to make real-time tradeoff decisions with engineers, and disciplined enough in product craft to keep the roadmap grounded in customer impact. This is a hands-on, technical product role for someone energized by the details of how things work, not just what gets shipped. What Success Looks Like In 3 Months Develop working fluency in Arcadia's platform architecture, data model, and the technical stack of your assigned engineering team. Build trusted, credible working relationships with your engineering counterparts, joining sprint ceremonies and grooming sessions. Take ownership of a product area's backlog and begin active prioritization grounded in customer and technical impact. Demonstrate the ability to hold your own in a technical conversation about pipeline architecture, data, or implementation tradeoffs. In 6 Months Ship one or more meaningful product increments in close partnership with engineering, on a predictable delivery cadence. Establish clear product and delivery metrics, and use them to guide prioritization and stakeholder reporting. Be a go-to resource for engineering on requirements clarity, scope tradeoffs, and customer context. Lead structured technical discovery (data investigation, feasibility checks, pipeline architecture discussions) that informs roadmap decisions. In 12 Months Be recognized as the product owner and technical subject-matter expert for your portfolio, trusted by engineering and business stakeholders alike. Drive roadmap strategy that balances near-term delivery with long-term platform scalability and technical health. Proactively identify and act on opportunities to reduce technical debt, improve data quality, or unlock new technical capability. Mentor peers on how to work effectively with engineering teams and contribute to broader product-engineering process improvements. What You'll Be Doing Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC. Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against. Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict. Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality. Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback. Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions. Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed. Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders. Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value. Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability. What You'll Bring Education Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience) Experience 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments. Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch. Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach. Healthcare, health-tech, or complex B2B data/SaaS experience strongly preferred; population health, value-based care, or interoperability experience is a plus. Technical Fluency Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions. Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability. Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms. Qualities & Skills Strong ownership mentality with a bias toward action and hands-on execution. Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary. Comfortable operating in ambiguity, breaking large problems into deliverable increments. Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders. Attention to detail and a commitment to clear, current documentation. Would Love For You To Have Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments. Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics. Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar). A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst. What You'll Get The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders. Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices. Be part of a mission-driven company transforming healthcare by changing the way patients receive care. A flexible, remote-friendly company with personality and heart. Employee-driven programs and initiatives for personal and professional development. Membership in the Arcadian and Barkadian community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Remote Workplace: Remote We are looking for an experienced Senior Game Mathematician to take a leading role in developing mathematical models for an in-house slot game portfolio. The position combines advanced game mathematics, statistical modelling, and simulation with the opportunity to influence the technical foundations of math development. Beyond creating and balancing game mechanics, you will contribute to the evolution of internal simulation tools and mathematical frameworks, working closely with game designers, producers, and engineers. Responsibilities - Take full ownership of slot game mathematics, developing models from initial game concepts through balancing, testing, and regulatory certification - Create and fine-tune mathematical configurations for different slot formats, including reel-based, ways/Megaways, cluster pays, grid games, jackpots, and feature buy mechanics - Define and optimize key game parameters such as RTP, volatility, hit frequency, maximum win, payout distribution, and bonus contribution, ensuring alignment with gameplay and product objectives - Develop and adjust reel strips, paytables, symbol distributions, free spins, multipliers, cascades, bonus features, and progressive mechanics, including multiple RTP configurations and ante bet options - Perform large-scale Monte Carlo simulations, validate theoretical and simulated RTP, and evaluate statistical reliability through variance analysis, confidence intervals, and convergence testing - Prepare mathematical documentation, including PAR sheets, RTP calculations, and supporting materials required for independent testing and certification - Contribute to the design and continuous improvement of an internal math development and simulation framework, participating in architectural discussions, technical reviews, and implementation - Evaluate live game performance data, identify potential improvements, and provide mathematical recommendations for existing and upcoming releases - Partner with producers, game designers, and developers to assess new mechanics, balance gameplay experience, and address mathematical or technical risks - Help establish consistent math development standards, share technical knowledge, and support the professional growth of other mathematicians Requirements - 5+ years of professional experience in slot game mathematics within a game provider or development studio, rather than an operator - Track record of at least 10 commercially released slot titles, preferably including games with demonstrated market success - Extensive knowledge of probability, combinatorics, and statistical modelling, with the ability to apply these principles to complex slot mechanics - Proven ability to build complete mathematical models around defined targets, including RTP, volatility, hit rate, maximum exposure, payout distribution, and feature contribution - Practical expertise in balancing different slot formats and mechanics, including Megaways, cluster pays, grid slots, bonus buys, jackpots, free spins, multipliers, and cascading features - Strong understanding of reel and paytable configuration, bonus buy and ante bet mathematics, and multiple RTP variants, with the ability to balance feature frequency, payout sizes, and overall player experience - Advanced experience in mathematical validation and high-volume simulations, including analytical RTP verification, Monte Carlo methods involving billions of spins, variance analysis, confidence intervals, and convergence assessment - Familiarity with gaming certification standards and testing procedures, including requirements associated with GLI, BMM, eCOGRA, iTech Labs, and preparation of mathematical reports and PAR sheets - Ability to independently manage mathematical development throughout the complete game lifecycle, from initial design to final certification - Degree in Mathematics, Applied Mathematics, Statistics, Physics, or a related discipline, preferably at Master's level or above - Previous involvement in building or improving proprietary slot math engines or simulation frameworks - Knowledge of mathematical optimization techniques, including genetic algorithms, simulated annealing, and linear programming, for automated adjustment of reels and paytables - Experience designing mathematical models for crash games, instant-win products, or other alternative gaming formats - Understanding of the interaction between mathematical models, game clients, and backend systems - Fluent English for technical documentation, collaboration with international stakeholders, and communication with testing laboratories or regulators - Strong communication skills, with the ability to translate complex mathematical concepts into practical explanations for non-mathematical colleagues - Willingness and ability to mentor junior and mid-level mathematicians and contribute to knowledge sharing within the team Would be a plus - Proficiency in at least one programming language: Python, C++, C#, Rust, Java, or Go - Experience developing high-performance simulation software, including multithreading, performance optimization, and large-scale data processing - Familiarity with Git, automated testing, and code review practices, as well as software architecture principles such as modularity, well-defined interfaces, and deterministic simulation results - Contributions to industry research, professional publications, conferences such as ICE, SiGMA, or G2E, or relevant technical communities What's in it for you - Opportunity to contribute to the development of innovative iGaming products and influence key technical decisions - Work on challenging projects involving advanced game mathematics and simulation technologies - Opportunities for professional development and career growth - Collaboration with experienced professionals in a supportive, knowledge-sharing environment

Location: Vancouver, Canada Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who We Are Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years. We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders. What You’ll Do - Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery. - Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs. - Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements. - Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges. - Conduct code reviews, software design and architecture, and pair programming. - Collaborate closely with product managers and data scientists to design and deliver impactful data products. - Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team. What We’re Looking For - 5+ years experience working on Data Modeling and Data Analysis domain. - Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow. - Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus. - Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. - Solid grasp of modern software development lifecycle. - Ability to efficiently navigate complex multiconstraint decision-making. - Experience working in a diverse and international environment. - Experience in the mobile app, advertising, or gaming ecosystem. - Experience with product design and infrastructure challenges. - Major in Math or Computer Science. Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.   Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.   Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! Global Teams Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.   Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help revolutionize our search capabilities. As a key member of our engineering team, you'll be responsible for optimizing and enhancing our search functionality, which is a critical feature of our platform and underpins our AI efforts. Your impact at ClickUp As a Senior Engineer on the Search squad, you'll be responsible for designing, optimizing, and scaling our search infrastructure. Our platform is built as backend services on top of Postgres and OpenSearch, focused on real-time search ingestion and serving. You'll work hands-on with these systems to ensure users can instantly find exactly what they need across their workspace. Your expertise will directly contribute to making ClickUp the most intuitive and responsive productivity platform available. Core Responsibilities - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve our real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve out real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale Technical Requirements: - Bachelor's degree in Computer Science or related field - 5+ years of experience as a search engineer or in a directly related role - Hands-on production experience with OpenSearch or ElasticSearch (strongly preferred); Solr experience considered but less ideal given its age - Experience with high-scale, real-time data ingestion and search serving in a backend services context. - Proven ability to optimize query parsing, indexing, and relevance tuning for search systems - Experience measuring and optimizing search quality Preferred Qualifications: - Background in search ranking, relevance algorithms, and information retrieval - Hands-on experience with vector embeddings and semantic search implementations - Experience with TypeScript in backend systems - Track record of architecting search solutions that maintain performance under heavy load - Experience applying machine learning and NLP to enhance search relevance Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE #LI-AK2 #LI-CC1       Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a ! Requirements We're looking for a Senio/Staff-level engineer with an open mind and a builder's instinct - someone who goes beyond executing tasks and is ready to own the High-Performance practice end-to-end: establish engineering processes, drive R&D, evaluate and champion new technologies, and lead their adoption in production. The ideal candidate can bridge the gap between business requirements for low latency and high throughput and the realities of existing infrastructure - translating "we need to be faster" into an actionable technical roadmap. You bring a fresh perspective, know how to organize the work, and are equally comfortable optimizing a hardware parameter and presenting a strategy to stakeholders. We expect 5+ years of hands-on experience as a DevOps/SRE/Systems Engineer in performance-critical environments - and the maturity to grow yourself and grow a team around you. Linux: Advanced administration and OS-level tuning — real-time OS configurations, cgroups, CPU isolation, memory management, and low-level network stack configuration. Hardware Internals: Deep understanding of CPU power and performance states (C/P-states), Hyper-Threading / SMT trade-offs, TX/RX ring configuration, and the full data path from NIC through PCIe to memory and CPU. Ability to reason about and tune each stage of that path under production load. Networking & TCP Internals: Deep knowledge of TCP/IP — congestion control, ACK behavior, buffer tuning, and protocol-level latency sources. Strong Linux networking fundamentals: low-latency NIC configuration, bypass networking technologies (DPDK, RDMA), and market connectivity (multicast feeds, co-location networks, VPNs). Performance Engineering: Practical experience profiling latency-sensitive systems; familiarity with tools such as perf, flamegraph, strace, tcpdump, eBPF, and hardware performance counters. Containerization: Deep knowledge of Docker and Kubernetes, including low-overhead deployment patterns and performance trade-offs of containerized workloads. IaC: Proven track record with Ansible, Terraform, and Helm in production environments. Monitoring: Hands-on experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and alerting (P99, jitter, throughput KPIs). Scripting: Solid scripting in Bash and Python; Golang is a strong plus given its role in systems tooling. CI/CD & Secret Management: Strong grasp of CI/CD pipelines with experience integrating performance validation stages; familiarity with Vault for secrets management. Security: Understanding of DevSecOps principles and Kubernetes security policies. Key Performance Metrics You'll Work With Latency Distribution - P99 / P99.9 across the tick-to-trade path, using hardware-level timestamps (NIC/PTP). Jitter - variance between min/max latency, measured over large sample sets in live market conditions. Throughput - messages per second (orders + cancels) under exchange burst scenarios. System Reliability - сontinuous monitoring of uptime Extra Credit / Big Pluses Hands-on experience with kernel-level optimization: syscall reduction, network stack bypass (DPDK, RDMA, Solarflare OpenOnload). Background in HFT, algorithmic trading, or other ultra-low-latency production environments. Experience with hardware timestamping, PTP/IEEE 1588, and precision time synchronization. Familiarity with colocation operations and exchange connectivity (cross-connects, proximity hosting). Proven SRE track record with formal SLO/error budget frameworks in latency-sensitive contexts. DevSecOps: vulnerability scanning, Zero Trust, RBAC, and secure delivery pipelines. Understanding of business processes in FinTech, crypto, or electronic trading. Responsibilities Low-Latency Infrastructure Ownership: Design, deploy, and continuously optimize infrastructure for latency-sensitive trading systems — market data handlers, order/deal gateways, and risk check engines. Own the full stack from bare metal to application delivery. Define and maintain a reference architecture for low-latency connectivity when onboarding new trading venues, including reproducible configuration baselines, validation procedures, and performance acceptance criteria — so every new venue goes live on a proven, optimized stack. Cloud & Hybrid Network Connectivity: Design, implement, and maintain complex low-latency network solutions for cloud provider interconnects - including cross-connects and Direct Connect / ExpressRoute links between cloud regions, hybrid on-premise/cloud topologies, and high-throughput inter-server fabrics. Ensure both latency minimization and fault tolerance at every layer: physical redundancy, failover routing, and path diversity across providers and regions. Hardware & OS Stack Tuning: Go deep on the full hardware and OS stack - CPU pinning, C/P-states, HT/SMT configuration, NUMA topology, IRQ affinity, TX/RX ring sizing, NIC offloading, and network stack bypass (DPDK/RDMA where applicable). Understand the complete data path from NIC through PCIe to memory and CPU - and optimize every hop. Infrastructure as Code (IaC): Automate provisioning and configuration of high-performance environments using Ansible, Terraform, and Helm - with performance reproducibility as a first-class requirement. Latency Profiling & Benchmarking: Systematically profile and debug latency hotspots across the full execution path. Establish and maintain SLA/SLO targets; track P99/P99.9 distributions, jitter, and throughput - not just averages. CI/CD for Performance: Build and maintain CI/CD pipelines that include automated latency regression testing, so performance degradations are caught before they hit production. Monitoring & Observability: Design and operate comprehensive latency monitoring and alerting systems (Prometheus, VictoriaMetrics, Grafana) - including hardware timestamping (NIC/PTP) and fine-grained performance telemetry. Colocation & Network Placement: Research, evaluate, and manage optimal server placements - colocations, cross-connects, proximity hosting. Work closely with network and infrastructure teams to minimize physical and logical distance to exchanges. High Availability & DRP: Design systems that maintain stability and reliability under peak load while continuously pushing latency lower - zero regressions, always. Cross-Team Collaboration: Work alongside algo developers, quant teams, and network engineers to ensure trading strategies execute with minimal infrastructure overhead. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Lead ML Engineer -LLM Inference & NLP . Your main tasks will be: Speed up and scale LLM inference in production: SGLang, KV and prefix caching, batching, quantization, speculative decoding Run distributed inference for very large models (up to 1T+ parameters) across multi-GPU and multi-node setups Benchmark new GPU servers and hardware, bring them into production and adapt our serving code to them Lead the NLP and CV teams technically: review experiments, set direction, and step in early when something is heading the wrong way Train and fine-tune the language models, and improve the agent harnesses and chat algorithm that run on them Track cutting-edge research and open-source work in inference and post-training, and turn it into the ML roadmap Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality We expect from you: Deep hands-on experience optimizing LLM inference in production with SGLang, vLLM, or TensorRT-LLM Experience with distributed inference or training of large models: MoE, tensor/expert/pipeline parallelism, multi-node GPU clusters Strong understanding of what makes inference fast: KV cache, attention kernels, batching, quantization, GPU profiling Experience training and fine-tuning LLMs, including post-training (RLHF, DPO, or similar) Proven technical leadership: you've guided engineers through reviews, mentoring and technical decisions while still writing code yourself Proficiency with PyTorch, transformers, and related libraries Experience at AI-focused startups or companies (Character AI, OpenAI, and similar is a strong plus) Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is a significant advantage Advanced English or Russian Nice to have: CUDA or Triton kernel development A computer vision background. We also welcome strong CV leads who have accelerated large generative image or video models Experience with multimodal LLMs First-author papers or notable open-source work, e.g. contributions to SGLang, vLLM, or post-training libraries A degree in CS, math, or physics from a strong program (MSc or PhD) What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Germany Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in Germany. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: Germany Eligibility: This individual must be a German citizen living in Germany and fluent in German, enabling immediate engagement with critical defense and national security customers. Security Clearance: German security clearance is not required, but is a strong nice-to-have. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Germany and broader European public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate complex procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior stakeholders including departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure. - Drive alignment between product development priorities and specific customer requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government and defence deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers. - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government and defence organisations procure, evaluate, and deploy technology - Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain a German security clearance Nice to Have: - Active German security clearance - Bilingual (English/German) proficiency - Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role strongly prefers eligibility for German government security clearance. We are looking for candidates eligible for German government clearance, meaning that they require German citizenship. In addition, this individual is required to be based in Germany and be fluent in German as this will enable immediate engagement with critical defence and national security customers. What Makes This Role Unique This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533 . 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. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Germany, the base compensation range for this role is € 97,034 - €116,441 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Ireland, the base compensation range for this role is € 82,988 - €99,586 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In Ireland, the base compensation range for this role is € 104,000 - €124,800. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the UK, Ireland, Spain, Germany or Sweden. Senior Software Engineer - Security Assurances We are looking for a Senior Software Engineer, Security Assurance to join our GRC engineering team. We are building a security system that’s automated at scale, rigorously data-driven, and built from the ground up with defense-in-depth and self-healing in mind. We support a highly autonomous, remote-first, cloud-native organization. We are a technical team that can build any tool we need, while knowing when to buy to improve velocity. To support our growth and ambitious vision, we embrace agile principles and values, share openly, apply context-driven security mechanisms, default to action, and have an OSS-first mindset. We are a 100% remote company. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work. The Opportunity: You will work to build out our security observability, compliance, and control management systems and tools. You will develop services and tools to proactively defend our systems, provide visibility to our security state, and give engineers and stakeholders guardrails and paved roads to behave securely. You will collaborate across your team, the security department, and wider Grafana to write and deploy security policies across all of our SDLC, applications, and infrastructure. This is a very technical, hands-on keyboard software engineering, so development experience is critical. You will ideally have some experience building, implementing and improving the maturity of security programs in Cloud-based SaaS organizations. Knowledge of security standards and frameworks (ISO, FedRAMP, PCI-DSS, GDPR, etc) is useful, but the disposition to quickly learn new things is more important than rote knowledge. You will work alongside other security engineers, full-stack developers, and customer-facing teams. Experience guiding and negotiating with peers, stakeholders, customers, and auditors is a plus. What You’ll Be Doing: Be a technical contributor on our GRC team covering a range of areas, including certifications, application, build, cloud, and supply chain security, and internal security tooling development Develop, implement, and maintain highly automated security assurance programs to ensure compliance with organizational and regulatory requirements (e.g., ISO 27001, SOC 2, GDPR, NIST, PCI-DSS, TISAX, whatever else our customers eventually throw at us) Develop systems, automations, and methods of security observability to push the GRC engineering organization beyond just meeting certification requirements Deploy security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows and build pipelines Collaborate with cross-functional teams to integrate security controls into the software development lifecycle and operational processes. Respond to customer security issues, security alerts, and potential incidents What Makes You a Great Fit: Experience developing in a production environment with at least one programming language. We primarily use Go, TypeScript, and Python but most languages translate well. You will take a code screen and be expected to discuss programming principles such as algorithms, data structures, and optimization Knowledge of using and securing containerized, cloud-native applications, ideally with Kubernetes. Experience with multiple cloud providers is a strong plus Experience in automating security and compliance processes using tools, scripts, and frameworks while enabling developer and employee workflows Strong interpersonal skills, as this position will require communication with peers, stakeholders, auditors, and customers Understanding of industry-recognized security frameworks, standards, and certifications, such as ISO 27001, SOC 2, PCI DSS, NIST, or GDPR, and how to apply them without added operational burden. You can gain this by reading the standards documents and audit guidance A degree in Computer Science, Information Security, or related field (or equivalent experience) Bonus Points For: Working knowledge of Grafana Labs OSS projects and products. Experience in using observability tooling to solve security problems. Experience working with OSS communities Experience in using technical automations to prove infrastructure compliance Experience securing large-scale distributed systems running in public clouds In the UK, the base compensation range for this role is £ 91,755 - £110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE You'll help build the geometric foundation of the next-generation world map — joining our World Map Research Engineering team (Geospatial Alignment) as a Research Engineer or Senior Research Engineer. This is an end-to-end applied research role that spans from strong engineering and data-systems work to R&D in 3D deep learning, transformers, and foundation models. You'll develop new algorithms, produce the research data and evaluation assets needed to advance them, and engineer the resulting capabilities into dependable production systems. The World Map team works with heterogeneous captures from phones and handheld devices, aerial imagery, LiDAR, and 360 cameras, as well as external geographic and elevation data. The central challenge is to harmonize these data sources, quantify uncertainty, and maintain consistency as the map evolves. You'll work at the intersection of cutting-edge research and scalable engineering — developing new approaches to geospatial registration, correspondence, and geometric optimization, then productionizing these technologies to directly improve Niantic Spatial's world model. What You'll Do - Geospatial Registration — Develop and advance algorithms for world-scale georeferencing and registration across imagery, 3D reconstructions, point clouds, and geographic reference data. - 3D Geometry & Correspondence — Build and improve methods spanning multi-view geometry, SfM, SLAM, feature matching, learned correspondence, bundle adjustment, point-cloud registration, and ICP. - Data & Evaluation — Create the data and evaluation flywheel for world-scale mapping — design and maintain large-scale datasets, pipelines, benchmarks, and evaluation methodologies that expose hard failure modes, accelerate research iteration, and support production. - Learning-Based 3D Reasoning — Explore and develop learning-based approaches for geospatial understanding, combining transformers and 3D foundation models with geometric priors and uncertainty modeling. - Production Robustness — Design robust solutions for challenging real-world conditions: sparse or noisy GPS, changing appearance, inconsistent reconstruction quality, large geographic extents, and imperfect reference maps. - Cross-Functional Collaboration — Partner with leading researchers in visual localization, 3D computer vision, and mapping — as well as engineering and product teams — to identify high-impact problems and turn research breakthroughs into end-to-end production systems. - Research Communication — Share results clearly through technical writing, design reviews, and internal presentations; contribute to publications and open research where appropriate. WHAT YOU'LL BRING - Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Photogrammetry, or a closely related field — or equivalent research or industry experience. - Strong grounding in 3D computer vision, machine learning, robotics, photogrammetry, or a closely related area. - Demonstrated experience with 3D geometry and several relevant areas — multi-view reconstruction, SfM, SLAM, camera pose estimation, point-cloud registration, image-based localization, georeferencing, or sensor fusion. - The ability to formulate ambiguous real-world problems, choose the right mathematical or learning-based tools, and evaluate solutions rigorously. - Strong Python skills and experience with modern ML and scientific-computing libraries (PyTorch, NumPy, SciPy). - Strong software engineering skills — you can turn research prototypes into reliable, scalable, and maintainable systems. - A track record of taking an algorithm from research idea and experimental prototype through evaluation, benchmarking, and deployment on real-world data. - Clear written and verbal communication; able to collaborate effectively across research and engineering disciplines. NICE TO HAVE - PhD in computer vision, robotics, machine learning, photogrammetry, geodesy, remote sensing, or a related field — not required, but valued. - A strong publication record or active involvement in the research community at venues such as CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, 3DV, ICRA, or RSS. - Experience with learning-based approaches for visual or 3D understanding — transformers, point transformers, foundation models, or methods combining learned representations with explicit geometric priors. - Experience with aerial or satellite imagery, GNSS/GPS, geodesy, mapping systems, or large-scale spatial data. - Evidence of technical leadership, mentorship, or successful cross-functional delivery. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. We welcome applications from candidates who require visa sponsorship. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Principal SRE to join our team! About the Role We are seeking a Principal Site Reliability Engineer (SRE) to help ensure the stability, scalability, and reliability of our production systems. The ideal candidate will have extensive experience collaborating in cross functional teams to manage the design, implementation and ongoing management of the Backblaze core infrastructure. You will be approved to demonstrate strong observability skills, process and service improvement and ability to leverage AI and automation to assist to mitigate issues faster and meet customer demand.. As a technical leader in Backblaze you will be expected to work across the organisation to achieve our goals. This will include working with our executives and customers. The role will focus long term strategic focus on platform stability. Key Responsibilities Service Reliability & Operations Own the availability and durability of critical services across production environments and accountability for outcomes. Ability to work independently, take ownership, and drive projects from problem discovery through resolution. Assist and advise on the design of service health metrics using SLIs, SLOs, and error budgets, and escalate issues when thresholds are at risk; partner with service owners to define/iterate SLIs/SLOs and establish error budget policies and alerting. Participate in leadership on-call rotations, incident response, and post-incident reviews to drive service improvements. Follow established ITIL/OSS processes (incident, change, problem, and capacity management). Architect and Design Design automation for common operational tasks, reducing manual intervention and toil. Collaborate with engineering on overall storage design, performance expectation against product SLAs. Define the monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, Catchpoint, ELK), and help integrate runbooks with FireHydrant. Work with CI/CD pipelines, configuration management, and infrastructure as code tools (Terraform, Ansible, Jenkins). Write scripts (Bash, Python, Go, etc.) to improve system reliability and efficiency. Collaboration Partner with engineering, customer success, product, and operations teams to support resilient system design and operations. Work with customers to ensure stability prioritization is based around their needs and experiences in using Backblaze products. Work with vendors and service providers to troubleshoot service issues and track SLA performance. Document systems, share learnings, and help grow a reliability-minded engineering culture. Continuous Improvement Lead cross functional teams to identify gaps in observability, operations process and define overall prioritization strategy. Identify recurring issues and propose long-term improvements, and design action plans around implementing those improvements. Promote reliability-focused practices within development and operations teams. Qualifications Education & Experience Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 10+ years of experience in site reliability, systems engineering, or operations, experience with hyperscalers preferred. Exposure to large-scale, production-grade systems, including experience establishing operational procedures or runbooks and bringing others up to speed on them. Technical Skills Solid Linux systems administration and troubleshooting skills. Proven ability to leverage AI tools to improve platform stability and scalability. Knowledge of storage systems, performance, sharding and storage algorithms. Experience in load balancing services including IPVS. Security-minded operations (patching, hardening, identifying vulnerabilities). Familiarity with service reliability concepts — monitoring, alerting, incident response, and root cause analysis. Proficiency in at least one scripting language (Python, Bash, or Go). Experience working with containers (Kubernetes, Docker) and microservices concepts required; comfortable operating in a Kubernetes/Vitess-on-K8s environment (kubectl, mysqlsh, Vitess keyspaces). Experience with Hashicorp products (Nomad, Vault, Terraform). Preferred Attributes Experience in a SaaS, service provider, or distributed systems environment. Familiarity with ITIL/OSS practices and SLO/SLA’s. Strong problem-solving skills and willingness to learn new technologies. Experience with cloud platforms (AWS, GCP, or Azure). Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The pay range for this position is $215,000 to $250,000 per year. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Bulgaria; Montenegro; Kosovo; Bosnia and Herzegovina; North Macedonia; Slovenia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Senior Meta Ads Specialist with 4–5+ years of hands-on experience managing, optimizing, and scaling high-performing Facebook and Instagram advertising campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing substantial advertising budgets, generating measurable ROI, and developing paid social strategies that drive customer acquisition and revenue growth. You should be confident taking full ownership of Meta advertising accounts, analyzing campaign performance, testing creative strategies, and scaling successful campaigns while maintaining profitability. Key Responsibilities C ampaign Strategy & Execution: Plan, launch, manage, and optimize Meta Ads campaigns across Facebook and Instagram. Budget Management: Manage and strategically allocate advertising budgets to maximize ROAS and minimize customer acquisition costs. Campaign Optimization: Continuously optimize campaigns based on CPA, CPL, CTR, CPC, conversion rates, and ROAS. Audience Targeting: Develop and test prospecting, retargeting, lookalike audience, and broad targeting strategies. Creative Testing: Collaborate with creative teams to develop, test, and refine high-converting ad creatives, copy, and messaging. Tracking & Attribution: Implement and troubleshoot Meta Pixel, Conversions API (CAPI), and conversion tracking. Performance Reporting: Build and present detailed performance reports with actionable insights and recommendations. Scaling Campaigns: Identify winning campaigns and scale advertising spend efficiently without compromising profitability. Funnel Optimization: Analyze landing pages, conversion funnels, and customer journeys to improve overall campaign performance. Platform Expertise: Stay updated on Meta advertising algorithm changes, platform updates, and paid social best practices. Requirements 4–5+ years of proven experience managing Meta Ads (Facebook and Instagram) campaigns. Demonstrated success in scaling paid social campaigns and delivering strong ROI/ROAS. Advanced proficiency with Meta Ads Manager, Meta Business Suite, and Events Manager. Strong understanding of campaign structures, audience segmentation, bidding strategies, and budget optimization. Hands-on experience managing significant monthly advertising budgets. Expertise in Meta Pixel, Conversions API, conversion tracking, and attribution. Proven ability to develop and execute structured A/B testing strategies. Strong analytical skills and experience using GA4, Looker Studio, or similar reporting tools. Experience working with e-commerce brands, lead generation businesses, or digital marketing agencies. Excellent written and verbal English communication skills. Ability to work independently, manage multiple campaigns, and deliver results in a fast-paced remote environment. A strong portfolio or case studies demonstrating measurable campaign performance and successful scaling. Nice to Have Experience with Shopify, WooCommerce, or other e-commerce platforms. Familiarity with Google Ads, TikTok Ads, or other paid acquisition channels. Experience managing multiple client advertising accounts simultaneously. Knowledge of landing page optimization, CRO, and marketing automation. Previous experience working with UK, US, or international clients. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.