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Location: Canada (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 seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada (EST/CST time zones) The Opportunity About Grafana Frontend The Grafana Frontend group is responsible for the end to end user experience on Grafana the observability product and Grafana the platform used by many engineers to build plugins. Our squads are responsible for dashboards, data visualization and manipulation, navigation across the ecosystem, sharing experience, content search,organisation and more. You'll also have the opportunity to work across the Grafana Frontend team and partner with other squads within the Grafana department to drive innovation and solve complex engineering challenges. The squad: DataViz We build and evolve the Grafana Visualizations. We want to give our users the ability to visualize their data in a way that’s easy to set up and understand, so they can pull out interesting and valuable insights. Some of our recent projects include: Externalisation of our core visualization to be independently releasable and remove interdependencies GraphViz : Visualize relationships, flows, and architectures using the Graphviz DOT language with live metrics from any Grafana data source. Raising the bar on quality and reliability: improving our test coverage, introduce a new testing strategy and tooling for visual regressions Refresh the look and feel of our existing visualizations . E.g Table and Gauge Our work is open source, you can browse grafana/grafana on GitHub directly to see how we build our software. Our stack is primarily Typescript, React, and uPlot and eCharts for our visualisations. What you’ll be doing Lead multi-quarter technical initiatives from problem framing through rollout. Including getting  user feedback and measuring whether what you shipped actually worked Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning. Provide technical support in customer escalations and help us identify areas of high friction to address. Cross-squad collaboration: Represent the team's work outside the team, write the design proposals, run the demos, and make the case for our roadmap in cross-team discussion. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Technical leadership . You have solid experience leading teams through projects, mentoring other engineers and serving as a force-multiplier. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions ,  building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism . You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset : You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus points for: Open-source contribution or maintainership, and comfort engaging a community in the open. Have an active interest in observability (Metrics, Logs and Traces) and have experience with tools like Grafana, Prometheus, or other observability platforms. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. In the United States, the compensation range for this role is $174,986 - $209,983 USD.  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: San Francisco, California WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE This is an opportunity to serve as a key partner and advisor on Notion’s Business Operations team, working primarily with our Engineering, Product, & Design teams. Business Operations is a cross-functional team that partners with senior leaders across the company, focusing on high-impact strategic projects and analysis. In this role, you’ll work hand-in-hand with leadership to identify, structure, and act on the most challenging strategic and operational questions impacting our business. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Build trusted relationships with cross-functional leaders to define and implement strategy across all Notion products, driving increased value to our users and our business - Structure complex, ambiguous strategic problems for the Notion leadership team, defining clear hypotheses and building detailed business cases and quantitative models that will inform and influence our approach - Work closely with cross-functional leaders to define and manage key drivers of business performance, identifying areas of opportunity and incorporating them into your work - Develop a comprehensive understanding of our competitive positioning by using, assessing, and developing insights about peer businesses to inform your recommendations - Deeply understand Notion customers and the broader market landscape to uncover insights that inform your recommendations - Create scalable solutions that combine a broad vision for what is possible with an understanding of the practical demands that constrain them SKILLS YOU'LL BRING - 5+ years of strategy experience, including 2+ years of experience in management consulting or a related field - Excellent quantitative and financial modeling skills, with the attention to detail and quality bar required for decisions that affect products and the business - Outstanding executive-level written and verbal communication skills; can operate independently with senior stakeholders and manage relationships, deliverables, and timelines with minimal supervision - Genuine enthusiasm for and proficiency with AI tools; we use AI across the board to move faster and work smarter, and you do too - Hands-on fluency with modern AI tools such as Notion AI, Claude, ChatGPT, or similar; you actively experiment with new models and workflows and use judgment to apply them responsibly - Data self-sufficiency, including working knowledge of SQL and the ability to access, assess, and synthesize relevant data without relying on outside support - Comfort working in a high-growth, constantly changing environment with passion and enthusiasm NICE TO HAVES - Prior experience in strategy and operations in B2B SaaS businesses - Experience with pricing & packaging, especially for AI products Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $175,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

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 The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it Run audits of who-has-what and reconcile physical counts against the system of record Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar Build out the refresh calendar and advance it across offices Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile Run day-to-day operations for the corporate mobile program and write its runbook Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model Have run an e-waste or secure disposal program with certified partners and chain-of-custody records Have managed reseller or vendor relationships for hardware purchasing and asset disposal Write things down: runbooks, how-to guides and knowledge base articles Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also Have supported a corporate mobile program or carrier account Have basic scripting experience (Bash or Python) for inventory or reporting automation Have experience using AI tools to improve personal or team productivity Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets 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: $180,000 — $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; 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 As Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise Conduct regular 1:1s, performance reviews, and career development planning for direct reports Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio Develop customer advocacy programs including case studies, testimonials, and reference architecture development Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings Strong executive presence and ability to represent Anthropic with customer technical and business leaders Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs Track record of achieving team targets for expansion, retention and customer satisfaction Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology 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: $265,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Spain, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies. Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: London, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

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: The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on. As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world. This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production. Responsibilities: Maintain and improve the encoding libraries used by engineers and researchers across Anthropic Run experiments to determine the optimal way to feed structured data into Claude without confusing it Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users” Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production Optimize encoding performance across the systems that depend on these libraries You may be a good fit if you: Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments Have experience carrying out complex refactors in large codebases Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Care about the societal impacts of your work Strong candidates may also have experience with: Tokenizers or other text/data encoding systems Maintaining a widely-used library over a long period of time Performance optimization Python and/or Rust Reinforcement learning or model training infrastructure Representative projects: Working with a research team to ship a new multimodal data type (audio, video, etc) to production Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Berlin, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale. Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities. Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization. RESPONSIBILITIES: - Drive Foundation AI projects from kickoff through development to deployment and stabilization - Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics - Develop project plans consistent with business goals and requirements for algorithm performance - Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication - Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments - Bring together key stakeholders to facilitate timely and lasting decision-making - Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors. - Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. - Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. - Facilitate cross-functional communication across WHOOP for awareness and understanding. - Understanding of technical issues to facilitate resolution of project blockers is a plus QUALIFICATIONS: - 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems - Experience working with AI or applied ML teams - Familiarity with agile methodologies, sprint planning, backlog grooming processes - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success - Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required - Clear, confident communicator who can bridge deeply technical teams and business stakeholders - Proven ability to influence without authority and drive alignment across diverse teams - Nice to Have: - Experience working with research teams - Background in consumer technology, platforms, or data-driven products - Experience organizing projects using Jira or similar platforms This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Paris, Remote Workplace: remote Introduction to the Team & Role What if your team was the one that got to show how an AI-native company runs — and tried it on itself first?   GTM Systems team owns the tools that sales, marketing, customer success and services run on (Salesforce, Marketo, data enrichment) and the AI agents, automations and knowledge layer built on top of them. Our mission: take repetitive work off GTM teams so they can spend their time on customers and decisions.   We already have a high-performing team, mature systems, extensive documentation, and an ambitious AI vision. An AI and Systems Architect, who sits in the team, owns the technical foundations of our AI stack and Salesforce. Now we need a hands-on leader who turns business needs into shipped AI use cases on top of them.   You'll work closely with GTM leaders, operators, data teams, engineering to turn ambiguous business problems into reliable, scalable products. You'll partner with each team to define the target state — where AI can take work off their plate, and where the human touch matters — then build the systems and agents that get them there.   This is a high-impact role for someone who loves working at the intersection of AI, operations, systems and go-to-market strategy. Key Responsibility Areas Build and own the portfolio of AI use cases for the whole GTM with your team, from identifying the business case to building, adoption and ROI, in partnership with Data and Enablement. Own one functional scope end to end, such as Customer Success or Professional Services: learn how the team works, map its processes, design the solution and build the agents and automations yourself Own the long-term design of the GTM stack — CRM, marketing automation, CS tooling — deciding what to build vs. buy. Help the company prioritize by identifying the best solution to each business problem and sizing its cost and feasibility. Lead and coach 3 senior ICs across Salesforce, marketing/BDR, CS systems Set a high bar for documentation, testing and deployment — and hold it without slowing the team down. Work hand in hand with the AI and Systems Architect, who owns the technical design, tool choices and standards: bring the business needs, challenge the design and build within those standards. Drive adoption and change management for new GTM capabilities across distributed teams. What You'll Do Within 1 month, you will: Know the team, the stack, and the cross-functional leaders and teams you’ll partner with. Understand the main business challenges and opportunities for each GTM function. Own the team's current quarterly objectives and the routines that keep them visible. Within 3 months, you will: Have audited one GTM function end to end and shipped a first AI use case with its business owner. Have a first GTM AI roadmap, agreed with the stakeholders and the team. Have taken one major cross-functional change from plan to done. Have mapped your functional scope end to end and shipped a first AI use case with its business owner. Have co-written the next quarter's objectives with the performance and enablement teams, each one stating the business problem, the current state, the expected impact and the plan. Within 6 months, you will: Have each team member working from a roadmap you challenged and helped build. Have shipped at least one agent that watches business data and reaches people on its own, with outcome measures agreed before launch. Within 12 months, you will: Show, in numbers, the capacity the commercial organization reinvested because of what the team built. Have the team recognized as the company's reference for AI-native operations, with a development path agreed with each member. The Skill Set Must have GTM fluency: you know how sales, marketing, customer success and professional services work day to day (their processes, metrics and tools) and you speak each team's language. 4+ years in consulting, in a strategy and operations role or as a product manager at a tech company, where you mapped and challenged business processes, built roadmaps and drove them through with senior stakeholders. You audit a process, tell whether it's any good, and judge where AI and automation create value, and where they don't. A real appetite for systems, tooling and AI: you are at ease with GTM tools (CRM, marketing automation, enrichment), you have built with AI tools on your own initiative and you keep up with new releases. You know how to coach a team: you challenge people's roadmaps and builds, help them get better, and explain complex topics clearly to non-technical people. You get stakeholders aligned and drive change through to adoption, in fast-moving environments without an established playbook. Turn ambiguous business problems into reliable, scalable tooling — you read a process, tell whether it's any good, spot where AI creates value, and judge when to automate (and when not to), across the full revenue engine. Thrive in ambiguous, fast-moving environments where the first version of the strategy has to be shaped, tested and improved quickly. Have enough technical judgment to challenge an architect's design, without owning the architecture yourself Set and hold standards for documentation, testing and deployment without slowing the team down, and coach the team with care. Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L Nice to have Hands-on experience building agents or automations with Claude or similar tools: skills, prompts, connectors. Deep expertise in Salesforce or marketing automation tools. A background in RevOps or GTM operations. Experience managing or coaching a team. What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Call with the Talent Acquisition Manager Discovery Interview with the Hiring Coach (VP of Operations) Case Study with the Hiring Coach and future Team Clarification Interview with Future Direct Reports Convexity Culture  Interview Offer! Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director of Product Security and Incident Response Location: Remote US Compensation Range: $200,000.00 to $210,000.00 plus bonus and equity What You’ll Do: As a Staff CSIRT Analyst, you will be the cornerstone of Huntress’ internal security resilience. You will act as the primary internal escalation point from our SOC, ensuring we protect ourselves with the same rigor and products we use for our customers. In this role, you will strategize with leaders across multiple functions to identify work streams and own the end-to-end incident response lifecycle. You will guide teams, determine key milestones, and proactively anticipate blockers that could hinder our response capabilities. Responsibilities: Incident Response & Triage: Lead the identification, triage, and validation of security incidents through various telemetry sources, acting as the ultimate escalation point for the SOC. Strategic Preparedness: Drive organizational incident readiness by designing and executing practical response exercises (tabletops and purple teaming) to ensure first responders are prepared at all levels of our organization. Telemetry Optimization: Partner with engineering, product security, and detection engineering teams to tune existing telemetry sources to a high true-positive rate, reducing noise and increasing detection efficacy. Offensive Security Partnership: Collaborate closely with the Offensive Security team to identify visibility gaps and ensure proper coverage against modern threat actor TTPs. Partner with product security, engineering, detection engineering, and other applicable business units to close these gaps rather than treating them as a blocker. Continuous Improvement & Leadership : Lead cross-functional Post-Incident Reviews (PIRs) to extract critical lessons learned; own the lifecycle of resulting remediation tasks, driving specific tooling and process enhancements that harden organizational defenses and response against future threats. Stakeholder Communication: Develop and present comprehensive reports and "lessons learned" to stakeholders at all levels following major incidents or exercises. Documentation: Create and maintain playbooks, system configurations, and incident response standards to ensure scalability and supportability. What You Bring To The Team: Experience: 8+ years of experience in Incident Response, SOC Operations, or Digital Forensics (DFIR). Technical Expertise: Advanced knowledge of EDR/MDR platforms, log aggregation (SIEM/ELK), and cloud security environments (AWS/Azure/M365). Problem Solving: Proven ability to articulate the root cause of complex problems using first principles and translate insights into technical solutions. Strategic Thinking: Experience leading small project teams and aligning tech stacks across functions. Communication: Exceptional ability to convey complex technical incident details to both technical teams and executive leadership. Tooling: Familiarity with automation/SOAR platforms and documentation tools like Confluence, Jira, and Lucid Chart. Mindset: A proactive, forward-thinking approach to security with a passion for building "stewardship of culture" through inclusive and actionable security behaviors. What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Wroclaw What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: The Box Extract team is a core part of Box’s AI strategy, focused on transforming unstructured enterprise content (PDFs, contracts, invoices, forms, and more) into structured, actionable data. You will lead a Warsaw-based engineering team within the Box Extract organization. This team operates within the application layer , responsible for turning advanced AI capabilities (OCR and LLM-based Extract Agents) into a scalable, customer-facing product. Who you are: People-first engineering leader with 2+ years of engineering management experience and strong technical background You possess at least 5 years of professional software development experience building full-stack web applications, preferably with JavaScript/TypeScript and Java Solid understanding of distributed systems and service-oriented architectures Comfortable operating across both backend and frontend concepts (full-stack awareness) Strong technical judgment — able to evaluate system design decisions, trade-offs, and engineering approaches Experience working in data-driven environments (metrics such as velocity, predictability, delivery performance) Skilled at building and growing teams, supporting both senior and junior engineers Clear, concise communicator who values transparency and proactive risk management Effective stakeholder manager, able to collaborate with cross-functional and distributed teams (including US-based partners) Comfortable operating in dynamic, evolving environments with dependencies across teams Proficient in English Nice to have: Experience in SaaS or product-driven companies Exposure to AI/ML-powered systems or data processing platforms Experience working with distributed, international teams We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Responsibilities: Build, lead, and grow a engineering team (5–7 engineers) in Poland Define the team’s roadmap, execution strategy, and own delivery outcomes Ensure strong delivery predictability , including planning, estimation, and execution Partner with engineers on system design and technical decisions (non-coding role) Develop team members through 1:1s, coaching, performance management, and hiring Establish a strong, collaborative, and accountable team culture Drive high standards in execution, quality, and scalability Organize team processes (stand-ups, sprint planning, technical discussions) and track progress Collaborate with product and partner teams to scope initiatives and align on priorities Manage cross-team dependencies and coordinate with stakeholders across regions Proactively identify risks and ensure transparency in delivery Represent Box internally and externally Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays . Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY 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, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-RB1 #LI-Hybrid

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview We are seeking a Senior Localisation Quality Engineer, a highly skilled and innovative individual who brings together design-phase product thinking, software engineering expertise, localisation awareness, and technical problem solving. The role builds on the core responsibilities of a Senior Localisation QA Engineer, combining strong localization quality expertise with software engineering, automation, and earlier involvement in the product design and development lifecycle. This role is ideal for someone who has worked closely with design teams in Figma, has experience reviewing and validating designs before implementation, understands how localisation impacts product and UI design, and can build scalable technical solutions to improve quality across the product lifecycle. You will partner with design, engineering, product, and localisation teams to identify risks early, improve design quality and localisation readiness, and create tools, systems, and solutions that enable faster and smarter delivery. Rather than focusing only on post-implementation testing, this role emphasises early engagement in the design phase, including reviewing Figma files, prototypes, design systems, user flows, and content structures to ensure they are scalable, testable, and ready for localisation across languages and regions. You will also contribute as a hands-on engineer, building software, automation, integrations, and AI-driven solutions such as agents, assistants, or plugins that improve workflows, validation, and quality decision-making. The ideal candidate combines strong software development skills, experience working with design systems and Figma-based workflows, practical understanding of localisation and internationalisation, and hands-on interest in engineering solutions to product and quality challenges. Responsibilities Design Systems, Figma & Early Product Quality - Partner with designers, product managers, engineers, and the wider Localisation team to help identify localisation risks early in the design phase. - Support the Localisation team by reviewing Figma designs and providing technical and design expertise to improve localisation readiness before implementation. - Help the Localisation team identify and address design risks such as text expansion, truncation, layout issues, bidirectional languages, locale-aware components, and cross-market scalability. - .Build and improve tools, automation, and processes that enable Localisation QA to identify issues earlier and at scale, including automated design and content validation, screenshot capture, localisation readiness checks, and quality validation across languages and regions. - Work with the wider Localisation team to define best practices and guidance that help designers and engineers create products that are ready for localisation from the start. - Collaborate with design teams on design systems, UI patterns, and content structures to improve quality and reduce downstream issues before code is written. - Help define quality expectations, localisation considerations, and implementation guidance directly from design artefacts and product requirements. Localisation Quality & Testing - Perform hands-on Localisation QA testing across multiple languages, platforms, products, and regions, including linguistic, functional, visual, and internationalisation testing. - Lead and support complex localisation quality initiatives, while contributing directly to day-to-day testing when needed. - Develop and improve localisation test strategies covering linguistic, functional, visual, and internationalisation quality. - Investigate complex localisation and internationalisation issues and work with engineering, design, product, and localisation teams to identify root causes and appropriate solutions. - Help define localisation quality standards and ensure localisation considerations are integrated throughout the product development lifecycle, from design through implementation and release. Software Engineering & Technical Solutions - Design and develop software, internal tools, automation, and reusable services that improve product quality, design validation, and workflow efficiency. - Build scalable software solutions that support validation of product experiences across design, development, and release stages. - Contribute to codebases, frameworks, and technical infrastructure that improve quality signals, design consistency, and localisation support. - Partner with software engineers to improve feature readiness, system testability, and quality-by-design practices. - Integrate validation and quality workflows into modern development environments and CI/CD pipelines where appropriate. Automation, Tooling & Process Improvement - Identify opportunities to reduce manual work and improve localisation and product quality across design, engineering, and localisation workflows. - Design and build tools, automation, integrations, or other technical solutions that help teams review designs, validate content, detect issues, and improve workflows. - Choose the right technical approach for each problem, which may include traditional automation, scripts, plugins, APIs, AI/LLMs, or existing internal tools. - Develop solutions that help identify localisation and quality issues earlier in the product lifecycle and provide faster feedback to teams. - Prototype and test new approaches, measure their value, and develop successful solutions so they can be used by the wider Localisation team and potentially other teams. Cross-Functional Leadership - Act as a bridge across design, engineering, product, and localisation teams, helping align quality, scalability, and user experience goals. - Communicate clearly with both technical and non-technical stakeholders, translating complex issues into actionable recommendations. - Influence teams toward a shift-left, design-led quality approach. - Contribute to planning, design reviews, implementation discussions, and release readiness with a focus on preventing issues early. - Provide technical guidance and mentorship to members of the Localisation team, sharing engineering, automation, localisation, and quality best practices. - Promote a culture of innovation, technical excellence, and continuous improvement. Qualifications Education BS/BA in Computer Science, Engineering, Human-Computer Interaction, Design Technology, or a related field, or equivalent practical experience. Experience - 5+ years of experience in software engineering, design technology, quality engineering, localisation engineering, or related product development roles. - Strong hands-on experience in software development, with the ability to build tools, systems, integrations, or automation that solve real product challenges. - Experience working closely with design teams and Figma workflows, including reviewing designs, prototypes, component systems, and user journeys before implementation. - Experience validating or testing Figma designs for quality, scalability, localisation readiness, and implementation feasibility. - Practical understanding of localisation and internationalisation principles in digital products. - Experience with localisation quality or testing across multilingual products, platforms, or regions. - Strong programming skills in one or more languages such as Python, JavaScript, TypeScript, or Java. - Hands-on experience building or experimenting with AI agents, plugins, copilots, or intelligent workflow tools. - Experience with APIs, structured data, system integrations, and modern software development practices. - Familiarity with developer collaboration tools such as GitHub, JIRA, and Confluence. - Strong understanding of product development lifecycle, Agile methodologies, and cross-functional delivery models. Soft Skills Excellent written and verbal communication skills. Strong product thinking and problem-solving ability. Comfortable operating across design, engineering, product, and localisation domains. Self-motivated, adaptable, and effective in a fast-paced environment. Strong organisational and stakeholder management skills. Desired qualifications Experience with Figma design systems, component libraries, and design-to-development workflows. Experience creating or contributing to Figma plugins, design validation tools, or workflow extensions. Experience building AI agents, assistants, or plugins for design, engineering, content, or localisation use cases. Experience influencing product quality earlier in the lifecycle through design review and engineering collaboration. Familiarity with multilingual product development, translation workflows, or international launch readiness. Experience in video games, consumer technology, digital entertainment, or large-scale product environments. Fluency in one or more non-English languages is a plus. What We Offer The opportunity to shape next-generation quality, localisation, and design-to-development practices. A dynamic and inclusive workplace where technical excellence, collaboration, and global impact thrive. Competitive compensation, performance bonuses, and comprehensive benefits. Career growth opportunities in a forward-looking engineering environment focused on quality, localisation, automation, intelligent systems, and early product excellence. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Spain (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for professional or semi-professional voice talents with a passion for language and technology for an exciting project. VOICE CHARACTERISTICS: FEMALE, "MATURE" (~35–55 YEARS OLD), NATURAL RATHER THAN POLISHED/ROBOTIC — RETAINING NATURAL PAUSES, DISFLUENCIES, AND NATURAL WORD EMPHASIS. Personality and Tone: 1. Conversational and likeable for customers (e.g., friendly, empathetic, patient) 2. Natural and approachable in a dialogue 3. Intelligent, confident, engaged, and builds trust 4. Welcoming and accommodating without being earnest, sycophantic or too eager to please 5. Ability to convey the desired personality traits (e.g., friendly, confident, helpful) Speech Quality and Clarity: 1. Easy to follow and clear 2. Consistent, moderate pace with natural pauses QUALIFICATIONS - Must be native speaker of the target locale - Experience with voice acting, narration, podcasting, or streaming - Access to a professional or high-quality home recording setup - Recording software - Microphone - Headset/speakers - Audio Interface - Professional Digital Audio Workstation, software, plugins - Treated space, quiet environment, free from background noise, music, clicks, muffling, etc. - Able to follow specific technical requirements when recording (volume level, file naming, format, gaps between segments, audio quality, etc.) - Able to provide demo, sample recordings, voiceover samples - Comfortable with fast-turnaround projects and able to meet tight delivery deadlines when engaged - Open to licensing your voice for AI voice cloning / TTS training - Depending on the project, you may undergo a test in our module to be subsequently vetted against all requirements. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Submit samples of voice work and/or take a test in our text platform. If a test is required, you will be asked to verify equipment, rates and fees, availability, etc. Step 3: Once you are selected for a project, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Spain (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for professional or semi-professional voice talents with a passion for language and technology for an exciting project. VOICE CHARACTERISTICS: FEMALE, "MATURE" (~35–55 YEARS OLD), NATURAL RATHER THAN POLISHED/ROBOTIC — RETAINING NATURAL PAUSES, DISFLUENCIES, AND NATURAL WORD EMPHASIS. Personality and Tone: 1. Conversational and likeable for customers (e.g., friendly, empathetic, patient) 2. Natural and approachable in a dialogue 3. Intelligent, confident, engaged, and builds trust 4. Welcoming and accommodating without being earnest, sycophantic or too eager to please 5. Ability to convey the desired personality traits (e.g., friendly, confident, helpful) Speech Quality and Clarity: 1. Easy to follow and clear 2. Consistent, moderate pace with natural pauses QUALIFICATIONS - Must be native speaker of the target locale - Experience with voice acting, narration, podcasting, or streaming - Access to a professional or high-quality home recording setup - Recording software - Microphone - Headset/speakers - Audio Interface - Professional Digital Audio Workstation, software, plugins - Treated space, quiet environment, free from background noise, music, clicks, muffling, etc. - Able to follow specific technical requirements when recording (volume level, file naming, format, gaps between segments, audio quality, etc.) - Able to provide demo, sample recordings, voiceover samples - Comfortable with fast-turnaround projects and able to meet tight delivery deadlines when engaged - Open to licensing your voice for AI voice cloning / TTS training - Depending on the project, you may undergo a test in our module to be subsequently vetted against all requirements. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Submit samples of voice work and/or take a test in our text platform. If a test is required, you will be asked to verify equipment, rates and fees, availability, etc. Step 3: Once you are selected for a project, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Spain (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are looking for professional or semi-professional voice talents with a passion for language and technology for an exciting project. VOICE CHARACTERISTICS: FEMALE, "MATURE" (~35–55 YEARS OLD), NATURAL RATHER THAN POLISHED/ROBOTIC — RETAINING NATURAL PAUSES, DISFLUENCIES, AND NATURAL WORD EMPHASIS. Personality and Tone: 1. Conversational and likeable for customers (e.g., friendly, empathetic, patient) 2. Natural and approachable in a dialogue 3. Intelligent, confident, engaged, and builds trust 4. Welcoming and accommodating without being earnest, sycophantic or too eager to please 5. Ability to convey the desired personality traits (e.g., friendly, confident, helpful) Speech Quality and Clarity: 1. Easy to follow and clear 2. Consistent, moderate pace with natural pauses QUALIFICATIONS - Must be native speaker of the target locale - Experience with voice acting, narration, podcasting, or streaming - Access to a professional or high-quality home recording setup - Recording software - Microphone - Headset/speakers - Audio Interface - Professional Digital Audio Workstation, software, plugins - Treated space, quiet environment, free from background noise, music, clicks, muffling, etc. - Able to follow specific technical requirements when recording (volume level, file naming, format, gaps between segments, audio quality, etc.) - Able to provide demo, sample recordings, voiceover samples - Comfortable with fast-turnaround projects and able to meet tight delivery deadlines when engaged - Open to licensing your voice for AI voice cloning / TTS training - Depending on the project, you may undergo a test in our module to be subsequently vetted against all requirements. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. Step 2: Submit samples of voice work and/or take a test in our text platform. If a test is required, you will be asked to verify equipment, rates and fees, availability, etc. Step 3: Once you are selected for a project, we will finalize your onboarding by having you complete our application form and adding you to our community, setting up your account for payments, and completing the remaining onboarding steps. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.