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Location: NZ: Wellington: Xero One (19-23 Taranaki St); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3) Workplace: Remote The role / impact This senior engineering position owns a critical delivery stream on MyXero, the foundational platform that underpins every organisation and user record while managing hundreds of millions of daily requests. You will take ambiguous platform challenges from problem framing to durable architectural solutions, designing the specs, verification harnesses, and AI guardrails that enable software agents to handle implementation safely. Your work directly enables the modernisation of a massive system into decoupled domain services without disrupting dependent products. By engineering automated verification loops and robust testing harnesses, you will ensure high reliability, mentor team members, and shape how our engineering practices operate safely with intelligent tools. The team / how they connect You will join the MyXero Ghostbusters squad within our Identity and Platform group, collaborating with engineers and product partners primarily based across New Zealand. The team operates with a written-first, remote-first philosophy, using design records, paired kick-offs, and blameless reviews to ensure every voice is heard and no one works in isolation. While delivery is high-tempo, the group maintains a supportive, open environment where technical curiosity and shared learning are core to daily routines. Initially, you will focus on - Setting up an intentional local development harness with automated validation checks to safely handle production changes. - Refactoring legacy monolith endpoints and services built on .NET Framework, C#, and SQL Server towards modern APIs. - Developing automated verification loops, test simulation harnesses, and tools that reduce operational toil and human checks. - Building cloud agent tooling and collaborative workflows that support the evolution toward an automated development lifecycle. Where and how you can work This role is open to candidates based in New Zealand, offering a flexible remote-first setup with office access in Wellington or Auckland. Our working environment is structured around async communication and balanced collaboration. Here are some of the things we are looking for - You bring deep full-stack or backend engineering experience with typed languages, ideally with exposure to C# and .NET environments. - Hands-on exploration with AI harnesses, coding agents, or automated verification pipelines in a personal or professional setting. - Practical familiarity with distributed systems architecture, API design, data modeling, and managing complex relational database migrations. - Proven capability in taking ambiguous technical problems from initial conception to production delivery. - Strong written communication skills to articulate system trade-offs clearly through design records and technical documentation. - A collaborative mindset with a drive to share learnings, uplift team capabilities, and contribute constructively to production support rotations. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security and control commitments. We translate regulatory, customer, and voluntary obligations into controls that teams act on, and give leadership a bird's-eye view of how well we're meeting them. We're building continuous assurance, to challenge and evidence the performance of controls continuously rather than through periodic audits. As Anthropic scales to meet public-company standards, the Sarbanes-Oxley (SOX) control environment over our technology stack is one of the most consequential things this team will drive. Within Security GRC's technical controls assurance function, you will be a hands-on senior contributor on what the IT general controls must achieve to support SOX 404 compliance. You will work as a peer to Internal Audit's IT SOX team: Internal Audit tests independently, and you define the control requirements, monitor that controls operate, and make sure evidence is audit-ready before Internal Audit and our external auditors test it. You will pair with Engineering, Security, IT, and Finance as they design and implement against those requirements, and validate that what ships actually meets the bar. You will also work with GRC engineering to automate evidence collection and continuous monitoring, starting with ITGCs and extending into other areas of security and compliance. This role reports to the Head of Security Controls Assurance and is well suited to someone who wants to stay close to the work and change how a frontier AI company builds its compliance infrastructure. Key responsibilities Define control requirements and acceptance criteria across the core ITGC domains of logical access, change management, operations, and program development for SOX in-scope systems, including home-built platforms where the control has to be designed into the system. Set the bar for in-scope systems from day one. As financially significant systems are built, migrated, or replaced, define what the system must provide before go-live, and assess SDLC controls for new system implementations and changes so controls are not retrofitted after the fact. Pressure-test changes for SOX impact during design. Review major infrastructure, system, and agent framework changes for control impact while decisions are still cheap, and keep a clear view of which changes alter the SOX scope, key control population, or evidence requirements. Perform second-line monitoring and readiness testing. Test key ITGCs and IT automated controls (ITACs) ahead of Internal Audit and the external auditors, including walkthrough preparation and validation that populations are complete and accurate, and support the move from manual to automated control reliance. Build continuous monitoring and evidence readiness with GRC engineering. Stand up automated evidence collection and monitoring for ITGCs, map controls to the common controls framework, and materially raise automated evidence coverage while cutting audit prep time. Run system and process risk assessments. Identify control gaps in in-scope systems and processes, and recommend remediation that engineering owners can act on. Drive control deficiency remediation with cross-functional partners. Track and root-cause ITGC deficiencies surfaced by monitoring, Internal Audit, or external audit; partner with engineering owners on remediation design; and assess whether remediation actually closes the gap before re-testing. Support the external audit with Finance and Internal Audit. Prepare walkthroughs, evidence requests, and testing schedules on management's side, and keep the line clear between your monitoring and Internal Audit's independent testing. Assess scope changes through a SOX lens. When new products, entities, systems, or integrations come into scope, assess their impact on control design, evidence requirements, and engineering effort before commitments are made. Maintain alignment with the broader compliance portfolio. Support the controls and evidence behind SEC cybersecurity disclosure requirements. You may be a good fit if you Thrive at the pace of a hypergrowth company. You're comfortable making calls with incomplete information and reprioritizing as scope shifts. Have been a senior contributor to an ITGC program through SOX 404 readiness and/or at a public company, with a working command of PCAOB AS 2201, COSO 2013, and how external auditors scope, test, and evaluate technology controls and deficiencies. Have hands-on IT audit or IT SOX experience designing, testing, and documenting controls across access management, change management, and operations. Have hands-on engineering fluency, possibly from an earlier engineering career: you can read code and Terraform, follow a CI/CD pipeline end to end, and challenge a design on its technical merits. Have deep familiarity with developer platforms, release engineering, cloud infrastructure, or ERP/financial systems control domains. Are a strong collaborator and communicator across Finance, Engineering, Internal Audit, and external auditors, and can work independently on complex workstreams while keeping senior stakeholders informed. Use Claude and other LLMs as daily working tools, and have grounded, specific views on which SOX assurance workflows AI can run today and which it can't yet. Translate SOX and framework language into acceptance criteria engineers can build against, and translate engineering reality back into assurance language auditors and leadership can rely on. Default to getting the requirement designed into the system rather than papering over the gap with procedure. Strong candidates may have A combination of audit or advisory experience (Big 4 or equivalent, ideally IT audit) with in-house experience at an AI-forward tech company, in either order. 12+ years of hands-on IT audit and SOX compliance experience. Taken a company through a first-year SOX 404(a) and 404(b) assessment, including a first external ITGC audit. Experience at a pre-IPO or newly public technology company. Defined or assessed controls over home-built financially significant systems, usage-based billing, or revenue metering pipelines. Defined or assessed controls for AI/ML systems or agents acting in production environments. Stood up continuous controls monitoring or automated evidence programs. Experience with SOC 1 reliance, service organization control mapping, and complementary user entity controls. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This role is fully remote. Reddit has a flexible first workforce. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient. We are looking for a Senior Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner with engineering leadership to identify foundational operational challenges, define comprehensive long-term strategies to address them, and lead complex engineering programs that turn those strategies into durable improvements across Reddit. This is a deeply technical leadership role for someone who can anticipate systemic reliability challenges, shape long-term engineering strategy, and mobilize teams across the organization to deliver lasting change at internet scale. What you’ll do: Advance Reddit’s Reliability Strategy Build an understanding of reliability across Reddit’s systems, teams, and practices. Partner with engineering leadership to evolve our long-term strategy and drive the next stage of how Reddit builds and operates reliable services. Apply Deep Expertise at Global Scale Bring firsthand insight in operating the world’s largest platforms, and adapt and extend them to solve Reddit’s unique technical and business challenges. Lead Reliability Engineering for User Experience Lead complex, cross-organizational programs advancing reliability, scale, and performance for critical user-facing systems across APIs, content delivery, feeds, search, messaging, and real-time experiences. Shape the Future of Reliability Guide the team’s long-term roadmap, setting direction and aligning investments across domains to build resilience, unlock scale, and enable innovation. Build Strategic Partnerships Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales. Influence Engineering Standards Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company. Elevate the Team Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence. What We’re Looking For 10+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large-scale distributed systems. Expertise leading complex, cross-organizational engineering programs from design through launch. Experience evolving company-wide reliability strategy and guiding long-term roadmaps and investments across technical domains. Proven ability to build sustained partnerships with engineering leadership, product, and infrastructure teams to align technical and business priorities. Deep knowledge of reliable and resilient systems designs, with experience adapting them to organizational needs and driving adoption. Expertise diagnosing complex failures across applications, infrastructure, and networking, and improving observability to expose systemic risks. Strong software engineering fundamentals and operational judgment, with a record of developing engineers at every level and raising engineering standards across teams. Nice to Have Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms. Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies. Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure. Contributions to open source software or participation in technical communities. Experience leading large scale incident response and operational transformation initiatives. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500 — $325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings. This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!). We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day. This is a full-time position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You’ll Do Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud. Develop, maintain, and test code. Conduct design and code reviews. Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability. Participate periodically in on-call rotation. Make Fivetran the most reliable and secure component of our customers’ data infrastructure. Skills We’re Looking For Bachelor's degree, preferably in Software Engineering or Computer Science. 3+ years of experience in the software industry with a passion for solving complex software engineering problems. Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices. Demonstrated ability to write well-structured and performant code. Ability to lead software and infrastructure design to satisfy project requirements. Experience in code reviews, design, troubleshooting and testing. Experience programming in an object oriented / systems language such as Java, C++, C# etc. Experience interacting with continuous integration tools like Buidkite. Knowledge of observability tools like New Relic/Grafana is a plus. Knowledge of Data Engineering is a plus. Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation. Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts. Bonus Skills​ Hands-on experience working with any cloud technologies (AWS, GCP, Azure) and containerization methodologies like Docker, K8s. Experience in data processing (ETL, ELT) and/or cloud-based platforms. #LI-HYBRID #LI-DC2 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $140,592 — $168,717.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Beijing, China 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. About this role: What can you tell your friends when they ask you what you do? As a Data Analytics Engineer I help app professionals to have the most comprehensive and high quality App market data, this is the key role of App ecosystem in various business practices. How will you be doing this? - As part of our agile and growing organization, you will challenge norms and find better ways to partner with our product organization and various stakeholders to ensure we are meeting the needs of our business requirement while properly setting expectations. As a Data Analytics Engineer, you will be working on data profiling, data quality monitoring, data cleansing and root cause analysis, this includes: - Data quality assurance and related process implementation and improvement. - Can quickly understand how the dataset is structured and what is the relationship inside it. - Working on the front line for problem analysis and ad-hoc requests from external teams, provide strong support to product managers. - Communicate well and clearly with teams overseas in both oral and written English. - Becoming better at what you do every day. What will you bring to the team? - You should be a strong Data Analytics Engineer in the data operation domain. - Proficient in SQL. - Experience with Linux and Shell Script programming - Python programming skills is a big plus. - Experience in statistics and data mining, Big Data or BI solutions is a big plus. - Willing to analyze problems hidden by huge amounts of data and good at summarizing problem reports, Tableau experience is a big plus. - Strong presentation skills. Feel comfortable to explain data pattern findings from data/problem to other stakeholders, e.g. product managers, senior management, etc. - Good communication skills and feel comfortable to work in an English working environment. - Self motivated and strong ownership. Be sensitive about any potential issues inside the production data set. - Strong willingness to drive complex issues moving forward, coordinating with all stakeholders globally. - Energy and creativity are key characteristics that describe you and the projects you lead. You make it happen. Boom! - You’re an app devotee, positively curious and a technology enthusiast. 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: Portugal; Poland; Cyprus; Armenia; Thailand; Montenegro We’re looking for a Senior Product Manager to lead the development of our customer support AI automation product line. You’ll help reduce operational costs, increase automation and improve the customer experience. This role is focused on complex operational processes rather than primarily user-facing features. You’ll turn high-level business needs into clear, measurable automation initiatives - from discovery and business case through pilot and production. What you’ll do Own the roadmap and prioritisation for the product line: decide what to build, in what order and why, and deliver against measurable savings targets. Work with support operations to understand how processes work in practice, identify automation opportunities and turn operational pain points into shipped solutions. Analyse processes, volumes, costs and expected outcomes; build data-driven business cases and assess whether initiatives should be piloted or scaled. Define scope, business logic and requirements for automation initiatives, including exceptions, dependencies and cases that need to remain under human control. Partner with BPM engineers, backend developers, the LLM team, QA and process owners to align on solutions and delivery. Run several initiatives in parallel, balancing new automation opportunities, active projects and infrastructure work. Help shape how the team works, including product documentation standards, phased delivery and the path from pilot to production. Use AI tools such as Claude Code or Codex in your day-to-day work for analysis, prototyping and documentation—and critically validate their outputs. Requirements 4–6 years of experience in product management, ideally with automation or AI initiatives that delivered measurable business results. Strong analytical and research skills, including process analysis, opportunity sizing, project economics and data-informed prioritisation. Experience taking initiatives from discovery and business case through delivery, pilot evaluation and production rollout. Confidence working with complex processes, multiple stakeholders and cross-functional technical teams. Strong communication and stakeholder-management skills: able to align business and technical teams, manage competing priorities and advocate for automation without losing sight of service quality. Hands-on, regular experience with AI agents such as Claude Code or Codex, as well as a working understanding of prompt engineering, model selection and LLM integrations. Nice to have Experience with customer support or contact-centre operations. Familiarity with BPMN and workflow tools such as Camunda. Experience automating complex operational processes in adjacent domains. Benefits A fully flexible work schedule — there’s no pressure to start work at exactly 9:00 AM; what matters is achieving results and moving forward; Each person in our team is encouraged to choose their preferred work format. You can work fully remotely, come to the office, or choose a hybrid work model; We are an ambitious and supportive team who love what they do, appreciate each other, and grow together; The growth and development of each employee is our priority, so we have internal programs available for adaptation and training, development of soft skills and leadership abilities that are tailored individually to each employee; We also provide partial compensation for employees participating in external training and conferences; In tourism, it's difficult to grow without an excellent knowledge of English, and we support our employees' language learning goals — we organize group and individual lessons, plus speaking clubs with colleagues from all over the world; And, of course, to encourage you to travel more, we offer corporate prices on hotels and other travel services; We prioritize well-being and are committed to supporting the overall health and work-life balance at ETG. As part of this commitment, we provide MyTime Day Off - an extra day off that is designed to give our employees the flexibility to focus on important matters, whether it’s taking care of their health, mental recharge, addressing personal issues, or any other important activities. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Location: India; Japan; South Korea; Taiwan; Hong Kong; Pakistan 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Malaysia; Singapore; Philippines; Indonesia; Vietnam; Thailand 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: United States; Canada; Australia; New Zealand; United Kingdom 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 Job We are seeking highly skilled Aerodynamics and Computational Fluid Dynamics (CFD) Specialists with strong programming capabilities to contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows. This role is particularly suited to engineers who combine a solid understanding of fluid mechanics and applied aerodynamics with practical software development and coding skills. You will create, solve, review, and validate engineering tasks using programmatic, command-line-based workflows. Typical assignments may involve analyzing airfoils, preparing computational domains and meshes, defining boundary conditions, running CFD simulations, calculating lift and drag, and validating whether resulting flow fields are numerically stable and physically realistic. Practical coding ability is essential. We are looking for engineers who can actively write Python code, automate engineering workflows, and work with computational tools—not simply candidates who hold relevant academic degrees without the ability to implement technical solutions. Previous AI experience is not required. LOCATION: Remote – US, Canada, Australia, New Zealand, UK, Southeast Asia, and APAC WORKLOAD: Approximately 15 hours per week. SCHEDULE: Flexible; choose your working days and hours, including weekends. COMPENSATION MODEL: Output-based, with payment per task that meets project specifications. PROJECT: AI training focused on aerodynamics, CFD, engineering simulation, and Python. AI EXPERIENCE: Not required. Key Responsibilities Solve and validate complex aerodynamic and fluid dynamics problems. Translate physical engineering requirements into computational models and solver-ready cases. Create or modify geometries, computational domains, and meshes. Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings. Execute CFD and aerodynamic analysis workflows using command-line-accessible tools. Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation. Develop scripts and computational workflows for engineering analysis. Calculate and interpret aerodynamic quantities, including lift, drag, pressure distributions, and flow characteristics. Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results. Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs. Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations. Document technical methodologies, engineering decisions, and simulation results. Requirements Candidates should meet one of the following educational pathways: Pathway 1: Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids. Pathway 2: Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience. Additional requirements: Strong understanding of fluid mechanics and applied aerodynamics. Practical experience formulating and executing CFD or aerodynamic analyses. Strong practical proficiency in Python, including the ability to write and debug code independently. Experience using Python for scientific computing, engineering automation, or computational analysis. Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API. Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings. Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results. Strong quantitative, analytical, and problem-solving skills. Ability to communicate technical reasoning and engineering trade-offs clearly. Professional English proficiency at C1 level or higher.

Location: Australia What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote Australia Compensation Range: $180,000 to $215,000 AUD base plus bonus and equity. What You’ll Do: As our Principal SOC Analyst in Australia, you're the most senior technical voice on the APAC SOC floor, working Monday to Friday. You'll take ownership of the hardest intrusions, turn what the floor sees every day into durable detection and product improvements, and raise the bar for every analyst around you. You'll lead by example as a cultural driver for the team, and you'll help build our Human Led Agentic SOC, where agents handle volume and humans own quality. You'll work closely with Product, Product Research and Detection Engineering & Threat Hunting. We'll also support you in publishing your research through Huntress blogs, webinars and conference talks. Responsibilities: Own complex, multi-host intrusions end to end, from triage through forensic timelining, root cause and remediation, across endpoint, identity (Microsoft 365 / Google Workspace) and SIEM telemetry Act as the SOC's technical partner to Product, Product Research and DE&TH: turn recurring floor pain points into lasting detection, suppression and product fixes rather than workarounds Perform advanced static and dynamic malware analysis, research emerging tradecraft, and publish findings through Huntress content Find repeatable investigation patterns and toil, then design, build and maintain both automation and human-led agentic workflows with Workflow Engine owners, Product and Engineering, with inline QC/QA built in from the start Own quality on the floor: grade AI agent and analyst output, trace misses to their root cause and fix them at the source, and act as final technical reviewer on detection tuning, suppression decisions and high-impact incident reports Provide technical leadership and mentoring across every level of the team: set investigation standards, run case reviews, ride-alongs and knowledge sessions, advise the Senior Manager on SOC direction, and help assess candidates in the hiring process Be a cultural driver for the team: model Give a $hit, Warrior Spirit and Outcome-Obsessed, keep a low-ego, share-everything team culture, and champion the “agents handle volume, humans own quality” mindset Handle threat-related escalations from SOC Support, writing clear explanations of complex activity and its business risk for technical and non-technical audiences What You Bring To The Team: 6+ years in SOC, Incident Response, DFIR or MDR roles, including leading multi-host intrusion investigations Deep knowledge of attacker tradecraft across MITRE ATT&CK (credential access, lateral movement, persistence, defense evasion, living-off-the-land) and how to detect it Deep forensic and investigation experience across Windows, macOS and Linux Strong cloud identity investigation and remediation experience in Microsoft 365 / Entra ID and Google Workspace Advanced static and dynamic malware analysis, including extracting IOCs and determining capability and intent Strong enterprise Windows administration (Active Directory, Group Policy, PowerShell, domain trusts) and core networking knowledge Strong hands-on AI skills: daily use of tools such as Claude and Codex for analysis, research and building automation and agentic workflows (Python, PowerShell or similar), with sound judgment about validating their output Understanding of inline quality delivery: building QC/QA into workflows as they run (quality gates, statistical sampling, drift detection and regression testing) rather than relying on after-the-fact review Proven technical leadership and mentoring: you've raised the standard of a team, not just your own work, and you explain complex findings clearly in writing and verbally Preferred Qualifications: Published research, blogs, conference talks or open-source security tooling Detection engineering experience: writing and tuning detections and SIEM queries Investigations in other cloud platforms such as Azure, AWS or GCP Previous MSP/MSSP/MDR experience and familiarity with RMM tools What We Offer: Fully remote work At least one annual trip to the US for Summer Summit, with additional local events in Australia! New starter home office set up reimbursement ($800 AUD) 12 weeks paid parental leave for both primary and secondary carers Monthly digital allowance for personal phone and internet costs ($185 AUD) Monthly home office tech stipend to upgrade or replace equipment ($40 AUD) Subsidised private health insurance through our preferred provider Stock options for all full-time employees Access to the BetterUp platform for coaching, personal, and professional growth People from all culturally diverse backgrounds, including Aboriginal & Torres Strait Islander Peoples, are encouraged to apply. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Prototype Engineer to join our Hardware team based in Boston. This is a hands-on role where you will rapidly iterate, assemble, diagnose, and evolve advanced robotic platforms for real-world use. WHAT YOU’LL DO - Lead troubleshooting and resolution of complex electrical issues in prototype humanoid robots, including operational and in-development systems; perform detailed failure analysis and share learnings with hardware/software engineering teams. - Collaborate closely with multidisciplinary engineers on prototype design, assembly, and bring-up, especially high-density electromechanical integrations. - Create, maintain, and execute clear test procedures, troubleshooting guides, and repair runbooks for the prototyping lab to ensure high standards and rapid iteration cycles. - Design, document, and iterate on cable assemblies, test jigs, and harnesses optimized for repeated use on dynamic robotic platforms. - Identify and own opportunities for continuous process and product improvement—minimizing downtime and improving test/repair efficiency. - Contribute to robust feedback loops across design, build, and test, driving first-pass yield and manufacturability. WHAT WE'RE LOOKING FOR - Demonstrated experience in rapid physical prototyping, hands-on debug of custom hardware, and troubleshooting complex electrical systems in robotics or similar domains. - Working knowledge of low-voltage and mixed-signal circuits, connectors, sensors, and compact electromechanical systems. - Track record communicating concisely via documentation—procedures, test plans, diagnostics, and lessons learned. - Adept collaborating across mechanical, electrical, and software engineering boundaries to solve urgent, ambiguous issues. - Comfortable in a high-velocity, high-ambiguity startup setting where priorities shift fast. - Experience designing for manufacturability and reliability in the context of human-sized or mobile robotics is a plus. - Familiarity with automated test and diagnostic tools used in modern hardware labs. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Equity included–we believe builders should share in what they build. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $115K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: APAC - Australia About the Job: LaunchDarkly is looking for an experienced, self-directed Sales Development Representative to own the first stage of engagement across APAC. You will manage and qualify inbound leads, event MQLs, and accounts showing meaningful engagement through our account-based programs. This is not a purely reactive lead-response role. You will combine fast, consultative follow-up with thoughtful, proactive outreach to turn customer interest and buying signals into qualified meetings and pipeline. Responsibilities: Act as the first point of contact for prospective customers across the region, creating a fast, thoughtful, and credible first impression. Respond rapidly to high-intent inbound inquiries, including demo requests, pricing requests, trials, contact forms, and other hand-raisers. Own follow-up for event leads, adapting outreach based on the person, account, and engagement history. Research and proactively engage targeted accounts that show meaningful engagement and buying intent. Convert qualified interest into sales-ready meetings and opportunities for Account Executives. Execute coordinated outreach across phone, email, LinkedIn, and other approved channels. Maintain complete, accurate, and timely activity, qualification notes, and account context in Salesforce. Partner closely with Account Executives, Marketing, Revenue Operations, and the global SDR organization to improve lead quality, routing, messaging, and conversion. Share patterns and feedback from prospects so the broader team can improve campaigns, events, content, and the customer journey. Qualifications: At least 1 year of successful SDR or BDR experience in B2B SaaS or a similar environment. A demonstrated record of setting goals, taking ownership, and delivering measurable results. Experience communicating with customers, prospects, or other external audiences. Strong judgment and the ability to operate independently. Excellent written and verbal communication skills in English, with the confidence to engage senior and technical stakeholders. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Our Sales team needs a dedicated data partner, and creator commerce https://kit.com/features/commerce (how creators monetize by selling digital products) is becoming a bigger part of how Kit and our creators scale. Kit is growing, so we're looking for a Senior Analytics Engineer to own Kit's sales and commerce data from end to end. Accurate sales data gives our team a clear picture of the pipeline and the confidence to make informed decisions. That’s what makes this role so important. Your primary focus will be Sales: the dbt models that turn our CRM data into trusted pipeline, deal, and funnel metrics, and the Omni dashboards our sales leader and Senior Revenue Operations Manager use to run the business. You'll also model creator commerce data, so we understand what creators sell and earn through Kit, and you'll pick up reporting work with our Product team, such as feature usage reporting. On a small data team, we step outside our usual lanes when the need is there, so the mix will shift over time. You'll build for two kinds of consumers: people and AI. Teammates increasingly answer their own questions by querying our semantic layer through Omni's AI and MCP connections to AI tools. That means your models, metric definitions, and documentation need to be clear and correct enough for an AI agent to use them without a data teammate in the loop. This is a full-time individual contributor role for someone who likes being close to the business, enjoys turning messy operational data into numbers people trust, and is happy to work on both the models and the dashboards that sit on top of them. When Sales and Product have clear, reliable data, we help more creators build more valuable businesses with Kit.   YOUR SUPPORT SYSTEM You'll report to Sam Umachi, Head of Data (Linkedin https://www.linkedin.com/in/samuelumachi/). Sales and RevOps are your primary partners, who will rely on the models and reporting you own. You'll also partner with our Product team on reporting for features like Visual Automations https://kit.com/features/automations and on how creators use Kit. Within our data team, you'll work alongside a Staff Analytics Engineer who owns org-wide semantic layer governance and modeling standards, a Senior Data Engineer who owns ingestion and pipelines, and a Senior Business Analytics Partner focused on revenue opportunities. This role has no direct reports.   WHAT YOU'LL DO - First Week: Work through our onboarding curriculum in Notion and meet the data team, our Senior Revenue Operations Manager, the sales team, and your product partners. Get set up in our core tools: dbt Cloud, GitHub, Amazon Redshift, Omni, HubSpot, Linear, Hightouch and Slack. Set up your AI-assisted development environment and learn the shared AI workflows our data team uses. Open and merge your first small pull request so you learn our review and deployment flow early. - First Month: Map how HubSpot objects (deals, pipelines and stages, companies, contacts, and owners) flow into our dbt models, and document the gaps. Take over day-to-day ownership of the sales models and Omni dashboards that teammates have been covering. Audit current sales reporting and list where definitions differ or numbers don't reconcile. Get familiar with how commerce data (products creators sell and the revenue they earn through Kit) lands in the warehouse today. Agree with RevOps and Sales on the most important questions they need answered. Review teammates' pull requests and contribute to our shared SQL, dbt, and documentation standards. Share a written reflection with the team on what you've learned and where you'd focus first. - First Six Months: Ship and maintain well-tested, documented dbt models for core sales metrics, such as pipeline, deal velocity, stage conversion, win rates, and the sales-led funnel. Expose those metrics through the Omni semantic layer, working within the team's governance standards. Rebuild or refresh the core sales dashboards so pipeline reviews and forecasting conversations run on numbers that don't need manual reconciliation. Resolve competing sales metric definitions by writing down the options and tradeoffs, aligning with Sales and RevOps, and documenting the outcome. Model creator-level commerce data, such as products sold, revenue earned through Kit, and conversion, in partnership with data engineering. Write semantic layer descriptions, metric definitions, and documentation that let Omni's AI and MCP-connected AI tools answer routine sales questions correctly, and test them against real questions from Sales, RevOps and Product. Get Sales to the point where routine questions are answered through self-serve, whether in Omni dashboards, Omni's AI, or AI tools connected over MCP, rather than one-off requests. - First Year: Be the recognized owner of Kit's sales data, the person Sales and RevOps go to first and trust without second-guessing. Give our revenue analysis work the sales and commerce models it depends on, so deeper questions about pipeline health and creator earnings can be answered quickly, thereby enabling us to make creators more successful. Leave your domains well documented and well tested, legible to new teammates, stakeholders, and the AI agents that query our semantic layer. Help raise the team's modeling quality through code review, pairing, and sharing what you learn.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills - Deep dbt experience. You build modular, tested, documented dbt projects, and you're comfortable with incremental models, snapshots, macros, CI, and scheduled jobs in dbt Cloud or similar. - Advanced SQL. You reason carefully about grain, joins, and window functions, and you write queries that are readable and performant on a cloud warehouse. - Data modeling for sales and GTM. You can model deals, pipeline stages and their history, ownership changes, and funnel conversion into clean, reusable structures. You are opinionated on Kimball standards and when a concept should be a fact or dimension. - CRM data fluency. You know how sales data behaves in a CRM, including stage changes, backdated edits, and custom properties. HubSpot is preferred, but other CRM experience (e.g. Salesforce) applies just as well. We care most that you recognize common CRM patterns. - AI-assisted development. You use AI code editors and agents (such as Cursor, Claude Code, Codex, or similar) every day, and you validate their output with tests, query results, and review before anything ships. - Clear written communication. You explain metric definitions, tradeoffs, and data caveats in plain language that Sales, RevOps, and Product partners understand. - BI and semantic layer experience. You can build dashboards and semantic models in Omni, Looker, or a similar BI tool, and you design metric definitions that people and AI tools can both query correctly. - Git-based workflows. You keep pull requests small and well described, and you give thoughtful code review. - Nice to have: Redshift performance tuning (sort and distribution keys), Python for scripting or API pulls, reverse ETL, and experience with product event, billing, payments, or ecommerce data. Experiences - Around 7 or more years in analytics engineering or data engineering where you personally shipped production data models. - Several years of hands-on work building and maintaining production dbt projects. - Working directly with sales teams and RevOps, and owning reporting they relied on to run the business. - Owning a data domain over time and evolving its models as the business and its questions changed. - Working at a SaaS company, ideally one with both a self-serve and a sales-led motion. Commerce, payments, or creator economy experience is a plus, not a requirement. - Working on a small or remote team where you were trusted to make decisions independently. Traits - Ownership and follow-through. You treat your data domains as yours. You notice problems before stakeholders do, close the loop on requests, and finish what you start. - Judgment. You match rigor to the decision at hand, know when a quick answer is enough and when a request should become a durable model, and say so clearly. - Flexibility. You're glad to step outside your primary area when another team needs help, and you balance that work against your core commitments openly. - Teach everything you know. You document as you go, pair generously, and help stakeholders understand the data well enough to use it on their own. - Work in public. You share progress, open questions, and decisions in writing where the team can see them, including what didn't work. - Creator success is our success. You remember who's on the other end. A wrong number in a pipeline review means Sales spends time on the wrong creators, and that shapes how carefully you work. - Do it with excellence. You test your work, review it carefully, and don't ship a number you can't defend. - Candor with care. You're comfortable pushing back when a request won't answer the real question, and you do it in a way that builds trust.   WHAT WON'T SET YOU UP FOR SUCCESS - Needing detailed specs or a highly structured environment before you can start. - Discomfort with ambiguity. Some of our sales and commerce definitions are still evolving, and you'll help settle them. - Needing several layers of approval to make modeling decisions within your domain. - Wanting to work only on dashboards, or only on pipelines, rather than across the transformation and BI layers. - Wanting a strictly fixed scope. Sales comes first, but you'll pick up Product or other work when the business needs it. - Wanting mostly greenfield work. Much of this role is improving sales models and dashboards that already exist. - Preferring to take tickets as written rather than partnering with stakeholders on what they need. - Being skeptical of AI's capabilities, or using AI without good judgment and accountability. - Expecting a large data team with dedicated specialists for every part of the stack.   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 4 ($172,000). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Technical interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Remote Workplace: Remote Kit https://kit.com/ is the email marketing platform experts choose to grow their audience, deepen their relationships, and build a business around the work they love. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. THE ROLE Most Kit creators don't have a dedicated Creator Growth Manager, and when their emails start landing in spam, they need someone who can find the cause quickly and explain it in plain language. We're looking for a Deliverability and Compliance Specialist to own deliverability support for that long tail of creators, run Kit's abuse desk, and make the compliance calls that protect the sending reputation every creator on Kit shares. You'll also build the playbooks, training, and AI-assisted workflows that help Support and contractors handle more deliverability questions on their own, and you'll partner with our infrastructure engineers as we run more of our sending in-house. A creator can't build a lasting business if their emails don't arrive, so this work connects directly to our mission. This is a full-time individual contributor role for someone who likes digging through headers and bounce logs to find the real cause of a problem, can explain DMARC alignment to a first-time creator without jargon, and is comfortable making a firm call when a situation is gray. You don't wait for someone to tell you what needs fixing. You proactively spot opportunities, identify patterns, and take the initiative to improve deliverability before problems arise.   YOUR SUPPORT SYSTEM You'll report to Alyssa Dulin https://www.linkedin.com/in/alyssadulin/, Director of Creator Success, and collaborate closely with: - Our Deliverability team: a Deliverability Lead who supports our highest-value accounts and leads deliverability education, and a Deliverability Specialist who onboards and ramps up large senders moving to Kit - Our infrastructure engineers, who run Kit's sending infrastructure - Our compliance and anti-abuse engineers, who build the automated checks that keep spammers off Kit - Product Specialists and the Support team, who handle the front line and escalate deliverability issues to you - Customer Success Managers (we call them Creator Growth Managers at Kit), Sales and Migrations, and Product Managers   WHAT YOU'LL DO - First Week: Get set up in Kit, our admin tools, and our support and ticketing systems, and meet our distributed team in Get To Know You chats (GTKYs). Meet the deliverability team and get an introduction on the current projects. Read our deliverability playbooks and SOPs, and get access to the monitoring tools you'll use every day: Google Postmaster Tools, Microsoft SNDS, blocklist monitoring, and our internal delivery dashboards. - First Month: Shadow the Deliverability team and Product Specialists on deliverability tickets, account approvals, and abuse reports, then start answering queue tickets with review. Join the daily monitoring rotation (blocklist delisting, Postmaster and delivery monitoring) and the weekly Deliverability team meeting. Learn how account approvals, compliance flags, and our in-house sending platform work. By the end of the month, work deliverability tickets and abuse reports on your own and send your first delisting requests. Project: build a recurring report showing the trending deliverability ticket reasons so we understand what’s causing how to reduce friction for customers and how to solve it - First Six Months: Own the deliverability support queue for creators without a dedicated CGM: spam-folder placement, bounces, authentication and DMARC setup, and escalations from Product Specialists. Own compliance end to end, from new-account approvals and compliance flags to pausing or closing accounts that put our shared reputation at risk.Run Kit's abuse desk. You'll write and share a strategy that covers coverage, response-time targets, escalation paths, and quality checks, then put it in place so routine spam, phishing, and blocklist reports follow clear SOPs while you take the hardest cases yourself. Be the go-to contact for day-to-day mailbox provider issues with Microsoft, Gmail, Yahoo, Comcast, and regional providers, and write an incident runbook for blocklistings and provider throttling. Track the queue with a simple scorecard (volume, first response time, and escalation rate) and share what you learn with the team. Run training sessions for Support and ship your first process or AI improvements, like cleaner ticket categorization or better account data for our AI support agent, so more deliverability tickets get solved without escalation.. - First Year: Deliverability support is faster and more consistent for every creator on Kit, including the ones who never talk to a CGM. Your playbooks, help center articles, and AI-assisted workflows are what Support, CGMs, and contractors reach for first, and fewer tickets need to come to you. You've led at least one cross-team fix with infrastructure for a recurring problem you spotted in the queue, such as an alert when a creator's domain authentication breaks or a check for sudden signup spikes. You're helping shape the internal tooling and alerting our in-house sending needs, and you take part in industry groups like M3AAWG.     WHAT WILL S.E.T. YOU UP FOR SUCCESS   Skills Must haves - Deep working knowledge of email authentication (SPF, DKIM, DMARC, alignment, and BIMI basics), plus the ability to read raw message headers and SMTP bounce and deferral codes - Hands-on use of Google Postmaster Tools and Microsoft SNDS/JMRP, and comfort working with major blocklists (Spamhaus, Abusix, Barracuda, Spamcop, and others) and their delisting processes - A clear understanding of Gmail and Yahoo bulk sender requirements, including authentication, one-click unsubscribe (RFC 8058), and spam-rate thresholds - Data fluency: you can pull bounce, complaint, and engagement data together, find the root cause, and explain it so others can act on it - Hands-on abuse handling: you can work an abuse report or escalation start to finish, from finding the account and assessing the evidence to acting, replying to the reporter, and documenting the decision - Process building: you can turn repeat work into SOPs, playbooks, and quality checks that a contractor or teammate can follow - Clear, calm written communication with creators, teammates, and postmasters - Using AI tools to research, summarize, and draft, and helping teammates do the same, with the judgment to keep a person on final compliance calls Nice-to-haves: - Experience with MTA logs or delivery observability tools (KumoMTA, PowerMTA, Postfix, Kibana/Elasticsearch, or SQL and BI tools like Mode) - Familiarity with feedback loops, spam traps, list bombing, and bot-signup patterns - Familiarity with CAN-SPAM, CASL, and GDPR as they apply to marketing email - Experience with Intercom, HubSpot, or a similar ticketing tool - Experience building or tuning AI support workflows or macros Experiences Must-haves: - 4+ years in email deliverability, compliance, trust and safety, or technical support at an ESP, mailbox provider, or high-volume sender - Handling escalated customer tickets end to end, including with customers who are frustrated - Making account-level compliance or abuse decisions, such as approving, suspending, or closing accounts - Working an abuse desk or abuse mailbox directly: spam and phishing complaints, provider and blocklist reports, and escalations - Leading the fix for a recurring deliverability or compliance problem that needed help from more than one team Nice-to-haves: - Supporting senders on shared IP pools at an ESP - Setting abuse or trust and safety strategy, or directing contractors or vendors on a support or abuse queue - Working directly with mailbox provider postmaster teams - Participating in M3AAWG or other industry groups - Creating educational content, like help docs, training, workshops, or podcasts - Working with creators, digital entrepreneurs, or small businesses Traits - You pick up problems that fall between teams without waiting for permission, and you follow them through until they're closed. - You test a hypothesis against the evidence before you act, and you frame problems clearly enough that others trust your analysis. - You protect the reputation every creator shares while staying fair and kind to the creator in front of you, and you help them understand the reasoning behind a decision. - You turn what you learn into docs, templates, and training that others use, and you adjust how you teach to fit the audience. - You hold a high bar for your work, and you push back respectfully, with data, when something puts our reputation at risk, even when Sales or leadership would prefer a different answer. - You share in-progress work and risks early so the team can solve problems together.   WHAT WON'T SET YOU UP FOR SUCCESS - Treating deliverability as a set of macros rather than an investigation that needs judgment - Discomfort saying no to a creator or a teammate when our shared reputation is at stake - Waiting for someone to assign you work when you can already see the problem - Needing a fixed playbook, since our sending stack and processes are changing as we bring more sending in-house - Keeping knowledge in your head instead of writing it down for the next person - Preferring to work without AI tools   WORKING HOURS AND LOCATION We're 100% remote with team members across the globe. We work mostly on East Coast time - so if you're based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. For this role, we're looking for someone based in North America, with working hours that give us solid US time zone coverage of the deliverability queue.   COMPENSATION + PERKS + BENEFITS Kit has standardized salaries based on position, no matter where you live. For this role, we're hiring at our level 3 ($118,000 USD). Level is determined based on experience and our interview process.   PERKS + BENEFITS INCLUDE: - Profit Sharing https://www.linkedin.com/feed/update/urn:li:activity:7454911054947688448/ - Kit equity - 401k with a 5% match - We cover up to $2,280 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Creator meetup budget ($50/month) to connect with creators over coffee, lunch, or other in-person meetups - Gender affirming benefits - Childcare benefit up to $3,000 annually through JOON - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year   HOW TO APPLY We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: 1. A phone screen with our recruiter (30 min) 2. Hiring manager interview (45 min) 3. Take-home assignment 4. Panel interview (60 min)   We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Location: Toronto 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? This role is the critical bridge that amplifies Cohere’s ability to execute from its deployed engineering teams into the partner ecosystem at scale. You will be the single point of influence who takes the high quality of our engineering delivery and extends it outward, ensuring that system integrator partners can deliver Cohere solutions with the same rigor, reliability, and innovation as our internal teams. As an Adoption Specialist, you will design, build, maintain, and deliver certification programs that validate partner expertise across infrastructure and agentic domains. You will report functionally into Customer Education & Transformation, with a dotted line into the Forward Deployed Engineering teams (Infrastructure and agentic), ensuring that every certification, every training program, and every competency standard reflects the latest innovation and the highest standards of delivery. We are seeking a unique individual: someone who is customer obsessed, has a background in infrastructure engineering with the technical grit and expertise to be a de facto member of the deployed engineering teams, while also bringing commercial acumen to scale these capabilities across the partner ecosystem. You will be the conduit between our internal engineering excellence and the broader market, and you will be the face of this program in front of partner networks and communities. In this role, you will: - Design, build, and maintain certification programs for system integrator partners across both infrastructure and agentic tracks, ensuring they reflect current technical realities and future innovation. This includes train-the-trainer programs with key system integrators that can certify on our behalf. - Develop deep subject matter expertise in end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout. As well as assess infrastructure, security requirements, and data management practices. - Develop deep subject matter expertise in applied AI across the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows - Collaborate with Forward Deployed Engineering teams on a dotted line basis to ensure certification content stays current with product innovation and hands-on development. - Collaborate with Product to ensure requirements are adapted into the core product. - Create dynamic training programs and enablement assets that drive self-service enablement and partner competency, building educational content specifically for developers. - Deliver the certification and education program publicly, serving as the face of this initiative to partner networks, partner communities, and customer communities, with the exposure and visibility that comes with representing Cohere’s technical excellence externally. You may be a good fit if your experience covers the following areas: - Execution flexibility in fast-paced environments, with the ability to work across infrastructure, and agentic areas. - Infrastructure and cloud expertise including enterprise software deployment in private/hybrid cloud environments, production Kubernetes administration, Helm, DevOps practices, CI/CD pipelines, and version control. - Agentic and LLM stack expertise encompassing production-grade Python software development, RAG and agentic applications using patterns like ReAct or Plan-and-Execute, and robust evaluation framework design. - Developer relations and community engagement, including public speaking, presenting, with a natural comfort with visibility and being the face of technical initiatives. - Experience building enablement or education content specifically for developers. 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role There are close to a billion knowledge workers in the world, and only a small fraction of them have worked with AI that makes them better at what they do. In the enterprise, reaching the rest depends on the IT, security, and business leaders who decide whether to adopt AI, and the admins who decide how it's deployed, governed, and scaled across their organizations. They ask hard questions before they say yes, and this role owns how we answer them. We're looking for a Product Marketing Manager to own positioning for Claude's core knowledge-work products (Chat, Cowork, and the broader non-coding suite) for enterprise decision makers and admins. You'll work across the areas that matter most to enterprise customers today: security and observability, workspace management and deployment controls, and pricing and packaging. You'll own the materials that help a decision maker or admin understand what's possible, roll Claude out with confidence, and make the case internally, including product launches, the website, pitch decks, battlecards, persona narratives, pricing and packaging story, and admin communications. Beyond making the case for adopting AI, you'll help the people accountable for deploying it do that safely, and show them exactly how to put it to work across their organizations. This is an individual-contributor role for someone who loves the hands-on work of product marketing, on products with enormous, established usage and a fast launch cadence. You'll write the positioning doc, build the battlecard, and ship the persona work yourself, and you'll use Claude to keep it all current, so the teams that depend on it can trust it. This role is for you if you've owned the full product marketing stack for a widely used enterprise product and know how to speak credibly to business, IT, and security audiences. You probably also turn your own PMM work into systems rather than one-off documents, and you want your writing to be the reason enterprise decision makers and admins say yes to rolling out and scaling Claude. Key responsibilities Define the story that earns enterprise trust. Own the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products for admins, so every deck, campaign, and piece of content makes the same case for adopting and scaling Claude. Own the story for how enterprises run Claude. Lead positioning and launches across security and observability, workspace management, and the controls for managing deployments, working with Product to turn new capabilities into clear reasons to adopt and expand. Give sellers the conviction to close. Build and maintain the sales enablement assets (pitch decks, battle cards, objection handling) that help GTM answer security, deployment, and pricing questions with confidence. Help decision makers and admins make the call. Own the proof points, comparisons, and narratives that help decision makers, admins, and their IT and security teams evaluate Claude and justify the investment and rollout internally. Make our pricing and packaging easy to understand and buy. Partner with Product, Finance, and GTM on how we present plans, pricing, and packaging for Claude Enterprise, and build the cost and value story that helps customers make the case to scale. Make sure the message reaches the right person, in their language. Develop ICP and persona frameworks that cover a varied base of enterprise decision makers and admins (executive buyers, IT, security, compliance, and workspace owners) in enough detail to shape messaging and campaigns for each one. Make our website answer buyers' questions. Own the website and product page messaging for Claude Enterprise, including how we present admin controls, security, governance, and plans and pricing. It's often where a buyer or admin decides whether to take a closer look. Turn scattered wins into a playbook others can run. Build libraries of top enterprise deployment and admin use cases by product and by function or industry, so the best examples of successful rollouts become patterns anyone can copy. Prepare admins for what's next. Partner with Product and Comms on enterprise launches so admins know what's changing, what controls they have, and what to do next, through clear admin communications, help content, and ongoing education. Keep every team telling the same story. Partner closely with GTM, Marketing, and Partners so they're always working from current, consistent materials. "Claudify" our own foundations. Use Claude, including Skills and automations, to build systems that keep positioning, messaging, personas, and enablement current, so you're working the way we ask our customers to work. Support analyst relations. Contribute materials for the enterprise knowledge-work portfolio where they overlap with your positioning and messaging work. Minimum qualifications Have owned positioning and messaging for an established enterprise software product, with decision makers and IT, security, or admin teams as a core audience Have worked on enterprise pricing and packaging, including how plans are presented, how changes are communicated, and how the value story holds up with buyers Have built ICP and persona frameworks and translated research into messaging that works across websites, collateral, campaigns, and content Have built sales enablement assets and worked directly with sales teams on objection handling and win/loss analysis Understand how enterprises evaluate, buy, deploy, and govern software, including identity and access, security and compliance review, data governance, observability, workspace management, and usage and spend controls Have strong writing and storytelling skills, with the ability to make technical topics clear and adapt tone and complexity across formats like pitch decks, web copy, battlecards, and admin communications Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment Are well-versed in using AI, especially Claude, to inform and automate product marketing work, and have built systems that update PMM foundations and share them with the teams who depend on them Have experience marketing AI or productivity software to enterprise decision makers and IT, security, or admin audiences Preferred qualifications 7+ years of product marketing experience with experience as a Senior PMM or PMM Lead at an enterprise productivity, collaboration, or knowledge-work software company with ownership of admin, security, platform, or pricing positioning Experience marketing to customers in regulated industries (e.g., financial services, healthcare) Experience building admin education or community programs Experience with analyst relations processes and reports (e.g., Gartner, Forrester) Experience with usage-based or consumption pricing Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the UK, the base compensation range for this role is GBP 94,508 - 113,410 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the US EST. About Product Management: As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The opportunity: As the Product Manager for Application Observability (App O11y), you’ll be responsible for helping application developers and SREs understand how their applications are performing, what’s affecting their users, and where to focus when something goes wrong. You’ll continue to build App O11y on top of the Knowledge Graph and fully integrate high-fidelity signals like traces and profiles, making all three first-class parts of the product experience. You’ll bring these capabilities together into our full-stack observability experience, alongside our Drilldown products, while building AI-first workflows that help customers investigate issues, understand root cause, and take action beyond static experiences. Your primary responsibility will be to define the vision and roadmap that takes App O11y into its next wave of adoption and revenue growth. This will require heavy customer discovery, using product data to understand where users get stuck, and working with your engineering and design partners to turn those needs into clear priorities. You’ll balance new product opportunities with the depth, performance, and reliability customers need from tracing and profiling, while working across R&D to ensure App O11y is tightly woven into our broader Grafana Cloud suite. You’ll also work closely with PMM and GTM to help customers understand the value of App O11y. This includes shaping pricing and packaging that make it easy to get started and grow with the product. You’ll regularly review customer feedback and usage data to understand what’s working and where people get stuck, and then be accountable for turning what you learn into stronger adoption and revenue growth. As a Product Manager at Grafana Labs, you will: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering. What You’ll Be Doing: Transform ideas and feedback into a product vision and roadmap Empathize with customer problems in order to collect user needs, requirements, and pain points Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers. Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering What makes you a great fit: A BS/BA in Computer Science, a related field, or equivalent work experience 5+ years of experience in Product Management 5+ years of experience in a B2B SaaS product Experience using or building observability products, telemetry databases, and/or developer tools, either as a practitioner or for external customers A strong understanding of application architectures and distributed systems, with the ability to discuss tradeoffs in telemetry ingestion, storage, querying, and the workflows built on top Experience working with Engineering and Design teams to build delightful products and features with sound UX in a fast-paced environment Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders Bonus Points: Experience with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors Experience with distributed tracing or continuous profiling systems, such as Grafana Tempo or Grafana Pyroscope Experience with eBPF and/or automatic instrumentation Experience with open source software and/or commercial open source companies Experience defining or evolving pricing and packaging for consumption-based or product-led SaaS offerings Experience operating applications in production, being on call, or troubleshooting performance and reliability issues In the United States, the base compensation range for this role is $167,143 - $200,572 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .