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Location: Buenos Aires, Argentina; São Paulo, Brazil; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite an Intermediate Test Engineer with hands-on experience in both manual and automated testing to join our dynamic team. In this role, you’ll work across UI and backend/integration testing, validate new features, and use your understanding of the product to identify issues and help ensure smooth releases of new functionality. 🟩 What's in it for you: Work on a modern, evolving payments platform for a major global fintech client Leverage your experience in both manual and automated testing across UI and backend/integration layers Collaborate with product, engineering, business, and client teams across the U.S., Latin America, and India ✅ Is that you? 3-5 years of hands-on QA experience, with a strong background in both manual and automated testing Hands-on experience with test automation using C#/.NET Solid experience with UI testing, including Playwright or similar UI automation tools Experience with API testing using Postman or similar tools Experience with backend and integration testing Experience testing end-to-end functionality and identifying defects independently Strong understanding of QA fundamentals and best practices Ability to work effectively with limited or incomplete documentation Ability to adapt quickly to changing product requirements and priorities Strong analytical and problem-solving skills Strong communication and cross-functional collaboration skills Proactive and autonomous approach to work Upper-Intermediate English level Desirable: Familiarity with Datadog for reviewing errors, failures, and system logs Knowledge of GCP and Harness Experience working with Jira and Confluence Familiarity with GitHub Copilot or similar AI-powered tools 🧩 Key responsibilities and your contribution In this role, you’ll contribute to delivering reliable, high-quality functionality through manual and automated testing as the product continues to evolve. Execute manual test scenarios for new features, primarily across the UI Perform API and backend/integration testing as needed Build and maintain automated tests using C#/.NET Perform end-to-end testing as requirements and features evolve Analyze product functionality and user flows to identify issues and bugs Review errors, failures, and system logs in Datadog Use product knowledge and QA experience to verify functionality independently with minimal documentation Work with product, engineering, business, and client teams to clarify requirements and resolve issues Participate in bi-weekly release activities and provide support during late-night releases Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Shah Alam, Malaysia; Klang, Malaysia; Puchong, Malaysia Turn your passion for luxury into a career opportunity! Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - check the ambiance, service quality, and overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live . On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers. Benefits This is a freelance, project-based position Flexible working hours Compensation for Non-Purchase Evaluations: Earn a fee based on mission complexity. Compensation for Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.

Location: Azerbaijan; Georgia; Armenia; Poland; Argentina; Kazakhstan We are looking for an organized, detail-oriented, and reliable HR Operations Specialist (russian & english) to join our team. In this role, you will be responsible for ensuring smooth day-to-day HR administrative operations, maintaining clean employee data, managing time tracking, supporting payroll preparation, and leading internal HR communications. If you thrive in an international remote environment, enjoy structuring operational processes, and have hands-on experience with modern HR tools, we would love to hear from you! Employment Type: - Full-time 8.30 am - 5 pm, NY (EST zone) non flexible - Remote work. - B2B contract (sole proprietorship status or corporate entity). Key Responsibilities Employee Lifecycle & Records Administration: Maintain accurate and up-to-date employee profiles and documentation in our HR system (Workable). Support administrative processes across the entire employee lifecycle (onboarding, internal transfers, terminations, and status changes). Ensure document compliance and structured digital archiving. Time Tracking & Attendance: Track and monitor working hours, absences, and leave records via Uattend. Coordinate with department managers and employees to resolve any time tracking or timesheet discrepancies. Payroll Preparation Support: Consolidate and prepare monthly/bi-weekly payroll input data (working hours, leaves, status updates) for the Finance/Payroll team. Help resolve payroll-related data discrepancies to ensure accurate and timely processing. Internal HR Communications: Draft and distribute clear, timely company-wide announcements on HR policies, procedural updates, organizational changes, and lifecycle events. Serve as a reliable point of contact for employee inquiries regarding HR procedures. HR Reporting & Process Optimization: Maintain HR operational databases and prepare periodic HR reports. Assist in refining operational workflows, HR templates, and administrative standards. Requirements Experience: 2+ years of experience in HR administration, HR operations, or payroll support. Education: Bachelor’s degree in HR, Business Administration, or a related field (HR certifications are a plus). Languages: Fluent Russian and English (C1+ level) with strong written and verbal communication skills. Software & Tools: Experience with HRIS & ATS platforms (e.g., Workable ). Experience with time-tracking systems (e.g., Uattend ). Proficiency in Google Workspace / MS Office (especially spreadsheets/Excel). Familiarity with task management tools (e.g., ClickUp , Asana). Core Competencies: Exceptional attention to detail and process discipline. Strong organizational and time management skills. Ability to work independently in a remote environment. High commitment to data privacy and confidentiality. Benefits Fully remote work (you can be located anywhere in the world) 8.30 am - 5 pm, NY (EST zone) non flexible. Competitive compensation package (will be discussed with successful candidates). Benefits: paid vacation days + sick leave. Exposure to US market business operations and strategic projects. Dynamic environment with opportunities for professional growth.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The AI Infrastructure team builds the foundational inference systems that sit at the core of Figma’s AI products. Our team is responsible for ensuring products like Figma Make and Figma Agent are highly reliable, easily observable, and can seamlessly leverage the latest cutting-edge models. Our team owns critical production services like our AI gateway, metering systems, and trace infrastructure, as well as our strategy for hosting first-party models. This role is an opportunity to join a rapidly-growing team at the ground floor and directly contribute to our core AI platform. We’re looking for a hands-on engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build best-in-class AI features. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products. Partner with engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution. Hire, coach, and develop senior and staff engineers to scale the team. Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency. Build an inclusive team and culture through thoughtful team-building and hiring practices. We’d love to hear from you if you have: 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space. 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor. Experience working on production AI systems. A proven track record of motivating, mentoring, and growing experienced AI engineering leads. Demonstrated experience learning new AI technologies quickly building technical depth in a new domain. Experience building and scaling engineering teams and org structure as they grow. While it’s not required, it’s an added plus if you also have: Experience building AI agents, agent harnesses/loops, or LLM/agent tooling platforms. Experience building high-scale production infrastructure (e.g., traffic/inference systems, metering, anti-abuse and billing systems). A background in adjacent platform domains, like recommendation systems or networking. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United Kingdom; United States; Poland; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on the data infrastructure that powers our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the systems that make world-class data possible. You will thrive in this role if you enjoy:   - Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models. - Training models used in our data processing pipelines, such as classifiers, quality filters, and labeling models. - Designing data curation strategies such as deduplication, quality scoring, labeling, and augmentation that measurably improve model performance. - Creating tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably.   REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring:   - Experience building data-intensive systems, ideally in support of machine learning training pipelines. - Strong engineering skills in distributed data processing at scale (e.g., Kubernetes, or custom pipelines over large datasets). - The capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build the tooling to measure it.   Bonus: Experience building or operating web crawlers.   LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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 Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have Proficiency in Python or TypeScript, with experience shipping working software end to end Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval Experience designing integrations with third-party APIs, data sources, and services The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role A track record of building reusable internal tools, templates, or self-service assets that other teams adopted Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks Experience building always-on or scheduled agentic systems that automate internal workflows Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information Front-end or product design skills that help demos feel polished and intuitive Experience supporting product launches or running launch-readiness programs A history of turning field feedback into concrete product input that influenced a roadmap A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly 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: $240,000 — $315,000 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. 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: Italy Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems Location This role is remote-first, so it can be executed from anywhere in Italy, with a preference of Milan. Expect regular travel for customer onsites. Fluency in English and Italian and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! External Platform builds and operates mission critical platforms that power how customers build on top of and with Figma. The team owns our MCP, Rest API and Gateway integrations powering millions of users as they work across design and code. As an Engineering Manager on External Platform, you’ll lead a team of senior engineers working at the intersection of engineering, operations, and platform strategy. You’ll partner closely with some of our largest customers, Legal, and Program Management to translate shared goals into durable, scalable outcomes. While this team works on our external platforms, the focus is on reliability and extensibility. You will operate the platform supporting our fastest growing products and provide APIs and frameworks that both internal teams and customers built on top of. This role is ideal for someone who enjoys operating in ambiguous, cross-functional spaces, amplifying the impact of strong ICs, and driving outcomes through platform leverage. This is a full time role that can be held from our NYC hub or remotely on the East Coast of the United States. What you'll do at Figma: Lead, grow, and support a team of engineers building foundational infrastructure for Figma’s AI products Partner with customers, engineering and product leaders from across Figma to define the team’s technical strategy and manage the day-to-day project execution Hire, coach, and develop senior and staff engineers to scale the team Roll up your sleeves to engage deeply with technical details and decisions as needed in order to help the team deliver on a robust AI platform with urgency Build an inclusive team and culture through thoughtful team-building and hiring practices We’d love to hear from you if you have: 3+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI platform space 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor Experience managing platform teams with a focus on reliability and extensibility A proven track record of motivating, mentoring, and growing experienced engineering leads Experience building and scaling engineering teams and org structure as they grow While it’s not required, it’s an added plus if you also have: Experience with MCP Infrastructure and integrations Experience with  LLM, AI gateways A background in adjacent infrastructure domains At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: US: Washington Remote Worker; US: San Mateo (1875 South Grant Street) Workplace: Hybrid ABOUT THE ROLE Millions of small businesses and their advisors use Xero reports and insights to decide what to do next. AI is changing how people understand their finances faster than any shift since the cloud, and Reporting & Insights is where Xero meets that change. Over the next few years we’re evolving reporting and insights for the agentic era, where customers ask an AI about their numbers as often as they open a Balance Sheet. As the senior technical leader for Reporting & Insights, you’ll set the multi-year technical direction, from the reports businesses file to the insights that tell them what to do next. You’ll also help hire the first Reporting & Insights engineers in Vancouver and decide how they work. THE TECHNICAL CHALLENGES Set a 3-year architecture across Reporting & Insights. Reporting and Xero Analytics run on a mix of modern services and systems that have grown with Xero over many years. You’ll define one target state across both, decide how they build on Xero’s data platform, and secure the investment to get there. You’ll design for high throughput, low latency and resilience, so reporting and insights scale with Xero’s largest and most complex customers. Evolve the platform without breaking trust. Accountants file tax returns from these numbers, so correctness comes first. You’ll lead the evolution of the data foundations behind about 150 reports, sequenced across teams and organisational boundaries. Customers keep the numbers they trust, on foundations built for what comes next. Make reporting and insights AI-native. AI changes what reporting and insights can be: answers to plain-language questions, insights that reach customers where they work, and analysis that once took an accountant hours. Every answer still has to reconcile to the ledger. You’ll define the foundations: how agents query financial data safely, how answers stay grounded and explainable, and how we prove correctness at scale. We want teams across Xero to build on what you create. IMPACT In your first six months you’ll own the Reporting & Insights architecture and set a direction for the data platform and the evolution of both products that engineering, Product and leadership back. At twelve months you will have: - Set a multi-year technical strategy for Reporting & Insights - Delivered new foundations for the first major report families, setting Reporting & Insights up for its next phase of growth - Opened Reporting & Insights to bigger businesses, with performance that scales to our largest customers - Put shared foundations for AI-native reporting and insights into production - Grown the Lead and Senior Engineers around you and raised the technical bar across the group Beyond year one, you’ll shape where Reporting & Insights goes next, and help steer Xero’s wider data and AI direction alongside the leadership team. OWNERSHIP You’re the senior technical voice for Reporting & Insights. You own the multi-year technical strategy and target architecture, and you make the calls that cross team and domain boundaries. You shape the roadmap with the GM and Product, decide where we invest in foundational capabilities, and align teams across regions behind one direction. You stay hands-on where it counts: reference implementations, foundational frameworks and the hardest architecture problems WHO YOU’LL WORK WITH You’ll report to the GM of Engineering. You’ll partner with the engineering managers and teams across Reporting & Insights, who know these products and their data in depth. You’ll shape the product and AI roadmap with the Reporting & Insights Product leads. You’ll also work with Principal Engineers and platform teams across Xero, including the accounting core and data platform teams that own systems we depend on. WHAT YOU BRING Must-have: - You’ve set technical strategy for a domain or portfolio over a 2 to 3 year horizon, and aligned multiple teams behind it. - You’ve led the evolution of a large, high-traffic, correctness-critical system across organisational boundaries. - You have depth in high-throughput, low-latency, resilient distributed systems and data-heavy architecture, and you still contribute hands-on where it matters. - You connect external shifts, AI above all, to product and architecture strategy, and you know where LLMs and agents belong in a system. - You grow leaders. You’ve mentored Lead and Senior Engineers into bigger roles, and your writing turns complex direction into decisions people act on. Nice to have: - Financial, reporting or analytics domain experience - LLM or agent-based features in production - .NET and AWS - A presence in the wider tech community through talks, writing or open source HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - Washington, WA & San Mateo, CA: $287,000 - $320,000 USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page   Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

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 team Anthropic's Security Governance, Risk, and Compliance (GRC) team is the connective tissue that holds the company accountable to its security 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 toward a fundamentally different kind of GRC: one that directs Claude, with the right humans in the loop, to challenge and evidence the performance of controls continuously rather than through periodic audits. Within Security GRC, Audit & Assurance runs the integrated audit across our frameworks and maintains the Common Control Framework the program hangs off. This role sits in Audit & Assurance and helps run that integrated audit program, plan the audits we add next, and assess the frameworks and scope changes we are considering. About the role You'll help run Anthropic's unified audit program: quarterly audits across SOC 2, HIPAA and the ISO 27000 family including ISO 42001, plus the rest of our certifications, working with our audit firms, our GRC Partners, and control owners across the company. You'll plan new audits as we expand to new frameworks, platforms and regions, and run the gap assessments that tell us what each expansion takes before we commit to it. You'll help build the audit operating model and runbook, and drive automation in the program so evidence is collected once and reused across frameworks, requests reach control owners once, and each audit cycle takes less effort than the last. Building with Claude is a normal part of the job, with you deciding where human judgment stays in the loop. This is an individual contributor role for someone with program management experience who writes clearly, stays calm under deadlines, and likes making a busy program simpler. Key responsibilities Run the audit program as a program: one integrated plan and calendar across audits and expansions, with milestones, dependencies, risks and decisions tracked, and regular status to GRC leadership and stakeholders Plan and run the quarterly audits, from scoping through report and findings closeout Run audit readiness ahead of each fieldwork window: control owner prep, evidence pre-checks and walkthrough dry runs Scope each audit's boundary with Product and Engineering: which products and deployment paths are in scope, and flag when a launch or new platform changes it Help build the audit operating model and runbook for a unified audit program, and keep both current as the program grows Drive automation in the program: evidence collected from source systems, request tracking and audit reporting, with evidence and walkthroughs reused across frameworks Coordinate audits across frameworks and firms so audit windows line up and control owners are asked for the same evidence once, and drive new ways of automated evidence generation and collection with GRC Engineering Plan new audits and audit expansions as we commit to them Run framework and scope expansion evaluations and gap assessments, with a recommendation and an effort estimate leadership can act on Work closely with control owners and GRC Partners: prepare control owners for audits, get evidence delivered and findings closed, and hand findings that need extended remediation to GRC Partners Manage day-to-day auditor relationships, and report audit status, findings and program metrics to GRC leadership Minimum qualifications Several years of program management: running multi-workstream programs with a plan, milestones, dependencies, risk tracking and status reporting to leadership Several years running external security audits (SOC 2 and ISO 27001 at minimum), on the company side or at an audit firm, including seasons with several frameworks at once Working knowledge of SOC 2, the ISO 27000 family, ISO 42001 and HIPAA, and where their requirements overlap Experience leading a gap assessment for a new framework or scope change and presenting the result to leadership Experience building or improving an audit process: calendars, request tracking, runbooks, roles and responsibilities Enough technical fluency to understand how evidence is produced in cloud environments and to judge whether a system-generated report is complete and accurate, and to build simple automations with Claude Clear writing and calm coordination under deadline pressure Ability to get control owners to deliver on time without authority over them Preferred qualifications Audit firm experience (Big 4 or a SOC 2 or ISO certification body), especially as a senior or manager on technology clients Experience adding new frameworks such as PCI DSS, ISO 27701 or 27018, CSA STAR, or international schemes (for example IRAP, ISMAP or C5) Have automated evidence collection or audit reporting, or use Claude or other LLMs day to day to plan, track and report program work Experience with a GRC platform or building lightweight internal tooling You don't need to Have done everything on this list. The combination is running a global audit calendar well, plus the instinct to make it simpler each cycle Hold every certification. CISA, CISSP, ISO 27001 Lead Auditor or similar are welcome but not required Have prior AI industry experience 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: $255,000 — $270,000 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. 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 - US About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the Job As a Software Engineer on LaunchDarkly’s SDK team, you will build the primary touchpoint that our customers interact with on a daily basis. You’ll work with multiple technologies across our 35+ SDKs while enabling customers of all kinds to feature flag their code. When working on our SDKs, you’d be contributing to much more than thin client wrappers. Our SDKs are feature-rich agents with strong emphases on performance, concurrency, and resiliency -- all while following idiomatic practices for their tech stack. LaunchDarkly serves trillions of feature flags daily to customers all around the globe, and every flag is handled by our SDKs. This team has a major impact not only on our company, but on our customers (and their customers). We are growing fast and we need your help writing the next chapter in our story. Responsibilities: Contribute to development for SDKs in supported platforms : Implement new features and improvements to meet customer performance and resiliency requirements Keep up to date with the latest development practices Collaborate with our engineering and product teams to drive the implementation and release of major features Actively maintain our open-source repositories Identify areas of improvement and advocate for best practices Have an active voice in shaping both technology and product decisions Basic Qualifications: Demonstrable experience building libraries and packages used by other developers Polyglot background with an ability to context switch between languages quickly 5+ years experience with at least two of the following: .NET/Go/Ruby/Python/NodeJS/Java Experience with the following is a plus: C++/Erlang/Haskell/Lua AI SDKs Observability SDKs Mobile development Strong computer science fundamentals Committed to working in a communicative, collaborative environment Self‐starter and problem solver, willing to solve difficult problems and work independently when necessary Strong testing background: experience building unit, integration, load tests, and benchmarks Experience writing production-ready code with emphasis on quality and maintainability Experience contributing to open-source software Logistics: This is a remote role, with opportunities to visit the office in the Bay Area, California, for team offsites The SDK team is spread between Eastern and Pacific time zones Highlights: You will work collaboratively with a team of highly experienced engineers who are amazing at the craft of engineering and building SDKs Your contributions will be publicly visible as the SDK team develops LaunchDarkly’s open-source SDKs in public LaunchDarkly uses our own SDKs. You will have opportunities working with the other teams within LaunchDarkly In this role, you can learn about many programming languages and frameworks You will have opportunities to strongly influence roadmap and prioritization Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $ 145,500 - $200,090 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. 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: Boston, MA; Remote-Friendly (Travel-Required) | 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 The Endpoint team (Client Platform Engineering) manages the devices Anthropic’s people work on, plus the infrastructure underneath them. We treat the fleet as a distributed platform, not a collection of devices, and configuration ships as code through pull requests, CI, staging, and a canary group. Today the fleet is mostly macOS, with a growing mobile footprint. Anthropic also works with vendor and business process outsourcing (BPO) partners whose teams need access to Anthropic systems. Those programs are growing, in more countries and with more vendors. Anthropic-owned Chromebooks issued to vendor staff are becoming the default device for vendor teams. This role exists to make ChromeOS a supported platform with a dedicated owner. You will own ChromeOS end to end, from how devices are bought and enrolled to how they are locked down, monitored, and retired, and help bring Android in as a second platform. The team is deliberately lean and runs with high autonomy. You’ll define what ChromeOS looks like at Anthropic and own the platform decisions that get it there. Responsibilities Own ChromeOS as a platform at Anthropic: device standards, Google Admin console and Chrome Enterprise setup, organizational unit design, and policy Manage ChromeOS policy as code through the Chrome Policy API, GAM, and Terraform, in the team's config-as-code pipeline, so changes are reviewed, tested, and progressively rolled out like the rest of the fleet Build zero touch enrollment through resellers, so a Chromebook arrives enrolled and works the first time in every country our vendor partners work from Work with IT Operations and procurement partners on buying and shipping devices internationally, including regions our current partners don’t reach Design device models for vendor teams (kiosk, managed guest sessions, shared devices, and assigned devices) and pick the right one for each program Lock devices down to what the work needs: copy and paste, downloads, printing, USB, and app and extension controls Own the device lifecycle for vendor fleets, from enrollment to wipe, lock, and retrieval when an engagement ends Feed ChromeOS device data into our fleet telemetry, tracking which devices are checking in, OS version, and drift between expected and actual state Partner with Corporate Security on hardware standards (such as Verified Access attestation and minimum AUE date), device trust signals, and access decisions Work with Security on the contractor access model and on keeping Anthropic data off vendor devices Run data loss controls through Chrome Enterprise Premium Work with Security on the vendor identity model: which accounts vendor staff use and in which tenant Support Android as a second platform, working with the corporate mobile program on Android Enterprise and zero-touch enrollment Write the runbooks IT Operations and vendor partners use to stand up a new program You may be a good fit if you Have owned ChromeOS as a platform for a fleet of thousands of devices Know the Google Admin console and Chrome Enterprise well: OU design, device and user policy, enrollment, and reporting Have automated ChromeOS policy through the Chrome Policy API or GAM Have run kiosk, managed guest, or shared device programs for frontline, contact center, or outsourced teams Have set up zero touch enrollment with resellers and shipped devices across several countries Have worked with Android device management and can hold your own in a mixed fleet Excel at ambiguous problems that touch several teams at once Communicate technical concepts clearly to any audience, including vendor partners View IT Engineering as requiring product engineering rigor Write clear documentation as a natural part of your workflow Strong candidates may also Manage device configuration as code (pull requests, CI, staged rollout) instead of clicking in consoles Have managed ChromeOS alongside macOS or mobile fleets Have used VDI or browser-based access to keep data off the device for outsourced teams Have supported BPO or vendor programs through fast growth into new regions Have built automated, progressive rollout systems with promotion gated on telemetry Have used LLMs to automate operational work, or are excited to make Claude a teammate Technical Skills Python and shell scripting ChromeOS management through the Google Admin console and Chrome Enterprise Google Admin SDK, Chrome Policy API, and GAM for automating policy and reporting Android Enterprise management (working knowledge) Querying live device state at fleet scale GitOps and CI for configuration management Endpoint security fundamentals 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: $325,000 — $360,000 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. 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: CAN: Vancouver (333 Seymour St); CAN: Toronto (111 Richmond Street West) Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero’s biggest areas of investment and growth. As a Lead Engineer on Payments Platform, you’ll join early-stage initiatives and make foundational architectural decisions for capabilities that power money movement across Xero and enable new product lines globally. Your work can span shared platform capabilities and customer-facing payment products, including global bill payments. You’ll stay hands-on in production code and proofs of concept while setting the technical direction other engineers and teams build on. It’s an opportunity to shape both the technology and the engineering practices of a growing team, with a direct connection to the problems small businesses face every day THE TECHNICAL CHALLENGES - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. IMPACT - First 6 months: You understand the payments platform, its consumers and the customer problems it enables teams to solve. You’ve shipped production code and aligned the team on the architecture and roadmap for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. Through mentorship, technical reviews and practical improvements, you’ve helped elevate the team’s engineering capability. - First 12 months: Your architectural decisions are operating in production and helping new payment products launch faster. You’ve helped establish engineering standards and clear ownership for the Vancouver Payments team, and your work is reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You’ll own the technical direction for your area of the payments platform, from design and proof of concept through production and on-call. You’ll lead architecture, API design and technology decisions for that area, with end-to-end accountability for reliability, security and operational excellence. You’ll work closely with engineering and cross-functional partners to make trade-offs explicit and turn direction into delivery. Your impact will come from both your own technical contributions and the capability you build in others. Because both the initiative and the Vancouver team are early in their development, you’ll also help shape engineering practices, quality standards and AI-assisted ways of working that make the team more effective over time. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING Must-have: - A proven track record of delivering highly available distributed backend systems and high-throughput services under real-world production constraints, with strong operational practices. - Experience building platforms or products from an early idea into production, then evolving them as adoption and complexity grow. - Deep understanding of system architecture, API design, and relational and non-relational databases, including the trade-offs between different approaches. - Proficiency in a modern backend stack, such as C#, Java, Go or C++, and experience with cloud-native platforms such as AWS. - Strong technical leadership: setting direction, mentoring engineers, fostering an inclusive culture and breaking complex problems into clear, actionable plans that lead to delivery. - A hands-on approach to production code, proofs of concept and technical deep dives, alongside advanced use of AI tools to improve development workflows, with appropriate judgment and validation. Nice to have: - Experience in payments, fintech or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience from adjacent domains with demanding reliability, security or correctness requirements is valuable too. - Experience selectively rebuilding or modernizing established systems while continuing to deliver value to customers. - A strong track record of partnering with Product, Design and other cross-functional teams to turn complex business needs into resilient engineering solutions. HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $186,000 - $236,000 CAD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: US: San Mateo (1875 South Grant Street); US: Washington Remote Worker Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero’s biggest areas of investment and growth. As a Lead Engineer on Payments Platform, you’ll join early-stage initiatives and make foundational architectural decisions for capabilities that power money movement across Xero and enable new product lines globally. Your work can span shared platform capabilities and customer-facing payment products, including global bill payments. You’ll stay hands-on in production code and proofs of concept while setting the technical direction other engineers and teams build on. It’s an opportunity to shape both the technology and the engineering practices of a growing team, with a direct connection to the problems small businesses face every day THE TECHNICAL CHALLENGES - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. IMPACT - First 6 months: You understand the payments platform, its consumers and the customer problems it enables teams to solve. You’ve shipped production code and aligned the team on the architecture and roadmap for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. Through mentorship, technical reviews and practical improvements, you’ve helped elevate the team’s engineering capability. - First 12 months: Your architectural decisions are operating in production and helping new payment products launch faster. You’ve helped establish engineering standards and clear ownership for the Vancouver Payments team, and your work is reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You’ll own the technical direction for your area of the payments platform, from design and proof of concept through production and on-call. You’ll lead architecture, API design and technology decisions for that area, with end-to-end accountability for reliability, security and operational excellence. You’ll work closely with engineering and cross-functional partners to make trade-offs explicit and turn direction into delivery. Your impact will come from both your own technical contributions and the capability you build in others. Because both the initiative and the Vancouver team are early in their development, you’ll also help shape engineering practices, quality standards and AI-assisted ways of working that make the team more effective over time. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING Must-have: - A proven track record of delivering highly available distributed backend systems and high-throughput services under real-world production constraints, with strong operational practices. - Experience building platforms or products from an early idea into production, then evolving them as adoption and complexity grow. - Deep understanding of system architecture, API design, and relational and non-relational databases, including the trade-offs between different approaches. - Proficiency in a modern backend stack, such as C#, Java, Go or C++, and experience with cloud-native platforms such as AWS. - Strong technical leadership: setting direction, mentoring engineers, fostering an inclusive culture and breaking complex problems into clear, actionable plans that lead to delivery. - A hands-on approach to production code, proofs of concept and technical deep dives, alongside advanced use of AI tools to improve development workflows, with appropriate judgment and validation. Nice to have: - Experience in payments, fintech or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience from adjacent domains with demanding reliability, security or correctness requirements is valuable too. - Experience selectively rebuilding or modernizing established systems while continuing to deliver value to customers. - A strong track record of partnering with Product, Design and other cross-functional teams to turn complex business needs into resilient engineering solutions. HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia, or San Mateo, California. We also welcome applications from candidates across Canada interested in relocating to Vancouver, and from remote candidates in Seattle, Washington. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: a coding assessment and a systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles.   COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheque. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - Washington, WA & San Mateo, CA: $206,000 - $260,000 USD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO, 10 days of Wellbeing leave, 5 days of Xtra Leave, 1 volunteer day, 12 paid holidays, paid parental leave. Further information included on our Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ page Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: United States; New York; San Francisco Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. As Chief of Staff, you’ll work closely with our Field CTO and Enterprise Deployment leads and be responsible for managing their teams’ workflow, understanding not only the business opportunities but the individual skills of their people. You’ll bring organization to this fast-growing team, constantly improving efficiencies and will gain a holistic overview of the Enterprise Deployment team, with leaders able to lean on you and trust your advice.. As Chief of Staff you should expect to: - Become an expert on the strengths of the Enterprise Deployment team members and staff them on projects thoughtfully, based on geography, priorities, capacity and skills. - Use this expertise to track performance of team members, engaging with their leads and people they work closely with to gain a full understanding of performance - Coordinate recruitment and hiring with the internal Talent team, making sure we’re focusing on key roles and locations and ensuring interviewing is appropriately shared amongst the Enterprise Deployment team. - Own the onboarding process. As we continue to hire at a rapid pace, you should ensure that each new team member is ready to go from Day 1 and that they have all the resources they need to ramp up rapidly. - Prepare for team meetings by co-ordinating with meeting leads, preparing slides where needed and crucially, making sure the time spent in these meetings is useful and effective for all attendees. - Track the Enterprise Deployment OKRs and provide regular updates on their progress, spotting issues or gaps in coverage early. - Plan team co-locations - with a team spreading across the globe, we want to regularly bring our people together to strengthen partnerships and encourage collaboration. - Act as the liaison between the deployment team and other parts of the organisation to ensure coordinated alignment. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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

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

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