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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Developer Experience: You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them. Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 6 years of practical full-stack engineering experience Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are technically proficient in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of 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 — $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. 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company. Platform Portability: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments. Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Billing Platform: Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai , the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience. Platform Safety: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Care about building systems that other engineers love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Ireland About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and ability to ensure data accuracy Ability to work with global teams across time zones Clear communication skills About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Belgrade, Serbia Workplace: remote NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries. As the Product Manager for Engagement & AI Game-Based Learning, you will own the "non-live" student experience. Your goal is to transform the Novakid Kid’s Area from a supplementary area into a significant driver of engagement for young kids. You will lead the development of self-guided English learning games and integrate cutting-edge AI-based self-practice tools that encourage children to speak more, practice safely, and stay motivated between their 1:1 teacher sessions. Focus: Kid’s Area, Self-Learning Games, AI Features, Learning Engine What you’ll do Lead a small team of designers and developers (with access to analytical and research resources). Design and scale features like Pandy AI Tutor to provide 24/7, judgment-free speaking practice for students across various proficiencies. Own the roadmap for current and future gamified worlds, focusing on LLM based learning mini-games that reinforce curriculum-aligned vocabulary and grammar. Use AI to create adaptive learning paths that adjust game difficulty and content in real-time based on a child’s performance in both live classes and self-study (Learning Engine). Work with engineering to refine Speech-to-Text and AI prompting logic to maximize student speaking time—aiming for the high-engagement levels seen in AI-only learning models. Design and manage the "Economy of Fun," including avatars, star rewards, and other gamification features that compete for a child's attention against mainstream apps. Work closely with designers, engineers, curriculum developers, and teacher operations to turn user insights into high-quality educational content and engaging UX. What you’ll have 4+ years’ experience in a PM role. Hands-on experience in AI-powered features (prompt engineering, conversational AI, or adaptive algorithms). Strong background in mobile gaming or highly gamified EdTech, with a deep understanding of reward systems, level progression, and retention hooks for kids. Proven ability to build interfaces for 4–12-year-olds that are intuitive, safe, and require zero parental intervention. Proficiency in analytical tools to analyze engagement metrics and game-completion rates. Manage the Agile process with our engineering team, ensuring that prototypes are delivered and scaled with technical excellence. You thrive in a 100% remote, distributed team environment and are a master of tools like JIRA and Slack. Excellent spoken and written English. What we offer Fully remote work A chance to shape the future of AI-driven education A fun, dynamic team that loves building innovative products Unlimited holidays, because we trust you to deliver

Location: Algiers, Algeria About P.I. Works P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and drive quality and efficiency. Our solutions are currently deployed across 84 mobile network operators in 58 countries . At the core of our success is a culture built on integrity, trust, and respect. We are looking for a Technical Delivery Engineer to lead the delivery of our mobile network products, focusing on next-generation automation and maintaining high-level engagement with our customers. Job Description You will be responsible for delivering and tuning next-generation radio network automation solutions. This role requires a blend of deep technical expertise and strong stakeholder management to ensure project goals align with both company direction and customer expectations. Key Responsibilities: Deploy and tune automated optimization solutions based on operator requirements to maximize product value. Act as the primary technical point of contact, managing stakeholder expectations and ensuring project alignment. Lead technical meetings, monitor network KPIs, prepare feature activation reports, and perform acceptance tests. Conduct product demos, training sessions, and workshops for both project delivery and pre-sales activities. Provide support for active customers and relay critical technical feedback to our product and development teams. Work effectively in agile environments to ensure continuous evolution and delivery of automation tools. Required Qualifications 5+ years of hands-on experience in RAN Optimization (2G/3G/4G/5G) . Deep knowledge of at least one major vendor ( Ericsson, Huawei, or ZTE ). A versatile, quick learner who can easily adapt to new technologies and automated tools. Excellent customer-facing skills with the ability to manage complex stakeholder relationships. Proven ability to work in agile environments and manage expectations based on project goals. Degree in Electrical/Electronic Engineering or Telecommunications Engineering. Proficient in English (written and spoken). Eligible to work in Algeria Preferred Skills Prior experience with SON (Self-Organizing Networks) or RAN feature and parameter trials. Familiarity with IT/Software systems and SQL knowledge. Prior experience with Algerian operators is a plus.

Location: Remote, Canada; Remote, United Kingdom; Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Staff Backend Engineer in the Developer Experience group, you’ll work cross-functionally to help us identify and improve the engineering experience across GitLab’s internal engineering teams. We’re at a pivotal time in transforming our testing approach and development experience to enable engineers to deliver high-quality code efficiently and with confidence. Developer Experience currently has six, globally distributed teams of Backend Engineers and Software Engineers in Test. This role will work across the entire group to help us identify and remove the biggest points of friction that affect development at GitLab. Expect to split your time between hands-on coding in Ruby and Go, designing scalable solutions and helping every team deliver.  You’ll be instrumental in shaping our engineering culture across GitLab. This is a highly visible role with strong company-wide support. You’ll be instrumental in shifting our culture and practices toward a cohesive Developer Experience Platform strategy—backed by buy-in and appetite for change. Some examples of our projects Project Examples In this role, you may lead projects such as: Internal developer platform adoption: Build and evolve platform capabilities that make it easier for engineering teams to create, deploy, operate, and scale services on Kubernetes. Kubernetes-based service onboarding: Define reusable service templates, deployment workflows, configuration patterns, and operational guardrails for teams adopting the platform. Developer workflows and test environments: Build development, CI, and test environments that reflect production Kubernetes behavior — including third-party operators and the custom resources services depend on — sequencing CRD establishment, controller readiness, and dependent workloads so engineers get a working environment rather than a partially reconciled one, across both local and remote clusters. Platform reliability and observability: Partner with infrastructure and service teams to improve rollout safety, troubleshooting, service health, resource management, and operational visibility across Kubernetes workloads. What You'll Do Lead and grow a team responsible for developer tooling and internal platform capabilities used by engineering teams to build and operate services. Set and execute a roadmap for Kubernetes-based developer workflows, balancing developer experience, platform reliability, security, and operational efficiency. Guide the design of reusable onboarding and deployment patterns for services running on Kubernetes, including workloads, networking, configuration and secrets, identity, storage, observability, progressive delivery, and the custom resources and controllers that services depend on. Make environment bring-up and teardown deterministic — resolving readiness and ordering dependencies between CRDs, controllers, and the workloads that rely on them — so engineers get reproducible environments instead of intermittent failures. Partner with infrastructure, security, and application teams to turn Kubernetes capabilities into simple, well-supported workflows rather than requiring every service team to become a Kubernetes expert. Establish engineering standards, documentation, automation, and feedback loops that improve adoption and reduce the time required to bring a service from development to production. Coach engineers through architectural decisions, incident follow-up, and production operations while maintaining a clear focus on sustainable team delivery. Represent the team with technical and organizational stakeholders, communicate tradeoffs clearly, and use adoption and reliability measures to guide prioritization. What You'll Bring Deep experience building developer tooling, DevEx platforms, testing frameworks, or CI/CD systems at scale. Strong hands-on Go experience designing, implementing, testing, and operating production-quality services, command-line tools, automation, or platform tooling. Experience contributing to Ruby-based systems is also valuable for this role. Practical Kubernetes experience building or operating production workloads and platform capabilities, including deployments, services, networking, configuration and secrets, observability, resource management, and troubleshooting. Depth in Kubernetes deployment lifecycle: Helm-based deployment and release management, kubeconfig and multi-cluster context handling including deploying into clusters you don't own, and integrating third-party operators and their custom resources (CloudNativePG, cert-manager and similar) into working environments — including the readiness and ordering problems that come with them: waiting on CRD establishment, controller availability, and custom resources reaching their own definition of ready. Experience authoring a controller or operator is useful but not required. Experience designing scalable solutions that improve engineering productivity, test reliability, development environments, or delivery workflows across multiple teams. Demonstrated ability to provide technical leadership and influence without authority across engineering, infrastructure, security, and product functions. Familiarity with DevOps workflows, CI/CD pipelines, release automation, and production operations. Strong written and verbal communication skills in a remote-first environment. A product mindset with a passion for empowering developers through simple, reliable, and well-documented workflows. Alignment with GitLab values, especially collaboration, iteration, and transparency. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $131,600 — $282,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by over 30,000 global businesses, Fin is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What’s the opportunity? We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group . The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models. This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge. Learn more about Fin's engineering culture at intercom.engineering , and more about Fin at fin.ai . What will I be doing? You will: Lead a high-performing team building the platform and infrastructure that power Fin's AI capabilities. Magnify the team’s effectiveness , whether that means removing impediments, or finding ways to accelerate their progress. Support teams of ML Scientists and Engineers building AI powered capabilities . Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation. Empower the engineers on the team to act with agency and maximize their impact. Expand your scope over time , potentially taking ownership of additional platform domains as the team and AI initiatives grow. What skills do I need? You must have: Experience leading infra or platform teams. Strong prior experience working as an engineer. Strong technical judgment and communication skills, enabling you to advocate for the team’s needs Adaptable leadership style suited to a group that will grow quickly, and change shape over time. Curiosity and enthusiasm for AI. Experience training ML models and operating them in production at scale is a significant advantage, but not a hard requirement. We will invest in EMs with a deep technical background, and a strong appetite to learn the domain. Nice to have Experience training ML models and operating them in production, at scale. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Poland; Colombia; Romania; Brazil; Argentina; Portugal About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. About the Company Our client is an operator-led, AI-powered revenue systems company building next-generation go-to-market (GTM) infrastructure for scaling businesses. They design automation-first revenue engines that transform real-time market signals into predictable pipeline growth. With a deeply AI-native stack—including workflow automation, LLM-powered systems, and custom-built internal products—they support companies scaling from $1M to $100M+ ARR. Engineering is not a support function here—it is the company’s competitive advantage. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a VP of Automation Engineering to act as the foundational technical leader and strategic partner to the CEO . This is a hands-on executive role where you will architect and scale automation systems, build internal products, and lead a high-performing engineering team. You will operate in an AI-first environment , where tools like Claude Code are part of daily development workflows—not optional add-ons. Key Responsibilities Automation Architecture & Infrastructure Own and scale end-to-end automation systems using n8n and API integrations Architect orchestration layers for complex, multi-client environments Build resilient systems with monitoring, alerting, and self-healing capabilities Integrate tools like Clay, CRMs, and outbound platforms into a unified infrastructure Product Development Build internal and client-facing products using Node.js, TypeScript, and modern frameworks Own the full product lifecycle—from architecture to deployment Develop scalable automation products and operational dashboards Establish engineering standards, CI/CD pipelines, and documentation AI Systems & Intelligence Layer Design and deploy production-grade AI/LLM systems (Claude, OpenAI, etc.) Use Claude Code as a core development accelerator across the team Build intelligent pipelines for classification, enrichment, and decision-making Optimize prompt engineering, evaluation systems, and reliability at scale Leadership & Technical Strategy Build, manage, and mentor a high-performing engineering team Define and execute the technical roadmap aligned with company growth Partner directly with the CEO on product and engineering strategy Lead sprint planning, prioritization, and delivery execution Requirements Non-Negotiable Deep, production-level experience with n8n automation systems Strong full-stack development skills (JavaScript/TypeScript, Node.js, APIs, databases) Proven experience leading engineers while remaining hands-on Daily, hands-on use of Claude Code in development workflows Strong working experience with Clay for data enrichment, signal detection, or GTM automation Experience building and scaling AI/LLM systems in production Strong systems architecture thinking (scalability, reliability, fault tolerance) Executive-level mindset with the ability to align technical decisions with business outcomes Preferred Experience Agency or services background with multi-client automation systems Experience building SaaS or productized internal tools Familiarity with tools like Airtable, HubSpot, Slack APIs, and outbound infrastructure Experience with cloud platforms (AWS, GCP, etc.) Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Poland; Ukraine; Romania; Argentina; Portugal; Colombia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Job Summary We’re hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to Claude Code-powered AI agent architecture . This role is for a hands-on builder who has deep experience in Clay-based GTM systems and is now building scalable, production-grade systems using Claude Code and modern programming languages . You will own the infrastructure that powers revenue generation—designing intelligent systems that scale across clients and evolve with real-time signals. Key Responsibilities AI Agent Architecture & Engineering Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling Develop scalable backend systems using Python, JavaScript, or TypeScript Architect integrations across CRMs, APIs, data sources, and outreach platforms Build reusable agent frameworks, templates, and SDK-like components for rapid deployment Team Leadership & Engineering Culture Lead and scale a distributed team of engineers (including offshore talent) Establish best practices for version control, testing, documentation, and deployment Mentor automation-focused engineers into AI-agent and software engineering roles Own hiring, onboarding, and performance management Platform Development & Innovation Drive the shift from no-code workflows to code-first AI systems Evaluate emerging AI tools, LLM capabilities, and automation frameworks Contribute to internal AI tooling and reusable automation libraries Prototype and validate new automation opportunities quickly Systems Reliability & Performance Ensure system reliability through monitoring, logging, and error handling Optimize infrastructure for cost, performance, and scalability Build observability systems to proactively detect and resolve issues Requirements Must-Have Experience Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation) Strong understanding of data pipelines, webhooks, and multi-step automation logic Hands-on coding experience in Python, JavaScript, or TypeScript Experience working with AI/LLM-powered systems (prompt design, chaining, context handling) Deep understanding of outbound sales workflows and revenue operations Experience leading or mentoring engineers or technical teams Preferred Qualifications Production-level engineering experience with scalable systems Background in agencies, consultancies, or multi-client environments Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure) Active participation in automation, AI, or GTM engineering communities Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Romania; Ukraine; Poland; Argentina; Colombia; Bulgaria About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Role Type: Full-time Engagement: Independent Contractor Hours: US Timezone Job Summary We are hiring a GTM Engineer (Go-To-Market Engineer) to build, launch, and optimize high-performance outbound campaigns for SaaS clients. This is a hands-on, execution-heavy role ideal for someone who thrives in a startup environment , enjoys experimenting with cutting-edge tools, and wants to directly impact pipeline generation. You’ll work closely with leadership and clients to translate buying signals into scalable outbound systems that drive measurable revenue outcomes. Key Responsibilities Build and launch outbound campaigns using Clay, SmartLead, HeyReach , and automation tools Use Claude (AI) to generate, test, and optimize outbound messaging at scale Turn real-time buying signals into highly targeted prospecting workflows Build automated GTM systems using tools like n8n and APIs Continuously test, iterate, and optimize sequences for conversion Improve campaign speed, efficiency, and scalability Track performance through CRM attribution and optimize for pipeline outcomes Key KPIs: 📊 Campaigns launched per day, week, and month ⚡ Time-to-launch for new campaigns (speed + efficiency) 📈 Campaign performance and pipeline contribution Requirements Must-Haves: Deep expertise in Clay (non-negotiable) Hands-on experience using Claude for outbound, personalization, and workflow automation (non-negotiable) Proven experience in GTM Engineering, Growth Engineering, or outbound infrastructure roles Strong experience with automation tools (e.g., n8n, APIs, Zapier) Familiarity with modern outbound stack (SmartLead, HeyReach, etc.) Experience in B2B SaaS outbound and lead generation systems Prior experience in a startup or agency environment Ability to work US hours (preferably PT overlap) Nice-to-Have Experience building AI-powered outbound workflows at scale Strong understanding of CRM systems and attribution models Exposure to CRO-led revenue strategies Passion for testing new GTM and AI tools Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Cyprus Workplace: remote ABOUT YOU   We are looking for a Regional Product Expert to supports Sales, Product, Product Marketing, and Partners across Xsolla’s monetization products. This role drives growth by enabling effective sales execution, supporting complex deals, and ensuring product readiness at the regional level. Acting as the “local voice” of the Monetization organization, the expert gathers market insights and partner feedback to inform global product and strategy decisions for Xsolla’s PC and mobile offerings.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Partner with the regional Sales team to ensure product knowledge, positioning, and value articulation are effectively communicated in all customer interactions. Partnering with Product Marketing: Deliver localized enablement sessions, playbooks, and deal-support resources aligned with the global sales enablement strategy. Support go-to-market readiness for new product launches and updates, ensuring local alignment with global product narratives. Maintain awareness of regional competitive offerings and tailor enablement materials to local market needs. Collaborate with Sales and Product Growth Support leadership to identify and accelerate high-impact opportunities. Provide tactical deal support by aligning customer requirements with product capabilities and value propositions. Serve as a trusted advisor in deal strategy discussions, helping teams overcome objections and optimize monetization outcomes. Coordinate with Product and Engineering when unique partner requests or technical blockers arise. Monitor and report on product adoption, deal velocity, and partner engagement within the region. Coordinate with the Sales Team to ensure data accuracy within Salesforce and related systems to ensure visibility into pipeline health and performance metrics. Share recurring insights on regional trends, customer needs, and emerging opportunities with Product Growth Support leadership. Contribute to business reviews with structured data and qualitative feedback to guide prioritization and resource allocation. Act as a liaison between regional field teams and Product leadership to communicate partner feedback and product improvement opportunities. Participate in structured feedback loops to ensure that customer use cases and regional needs inform roadmap planning. Support documentation of use cases, blockers, and success stories to help refine global product strategy. Collaborate with Product Marketing on refining messaging and positioning for regional relevance. Adopt and maintain best practices in tools and workflows (Salesforce, Jira, internal dashboards, AI-driven analytics). Ensure consistent communication and coordination with counterparts in other regions to promote global alignment. Contribute to process improvements and tool optimization that enhance deal efficiency and data visibility. Participate in global readiness meetings and feedback sessions to share learnings and standardize execution. Stay informed on local industry trends, competitor activities, and partner sentiment to anticipate changes in market dynamics. Represent Xsolla’s monetization products in customer and partner discussions, trade shows, or industry events within the region. Provide qualitative intelligence to leadership to support market-entry decisions, product prioritization, and pricing strategies. Qualifications & Skills: Experience as a Product Owner, Product Manager, Product Evangelist or similar for 5+ years Experience in the PC and mobile gaming industry (development, publishing or platforms) for 5+ years Understanding of monetization models in the local market including Subscriptions and LiveOps Awareness of D2C cases: Web Shops, external top-ups, in-game campaigns Experience interacting with B2B clients and/or video game publishers Strong English and Russian proficiency required for collaboration with global teams and international stakeholders Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, statutory pension contribution and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Treatment Statement: Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics.  For the Regional Product Expert, we will request a background check Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Handling sensitive financial information/managing budgets/accessing funds Accessing confidential company data Ensuring compliance with regulatory requirements Rights Under the GDPR: Applicants are encouraged to inquire about their rights under the GDPR. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Argentina; Canada; United Kingdom; Poland; Estonia; Romania About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-first GTM (Go-To-Market) systems company founded by experienced revenue leaders. They build end-to-end automated revenue engines that transform market signals into qualified pipeline using AI agents, workflow automation, and scalable data infrastructure. Their stack combines tools like workflow automation platforms, enrichment systems, CRM integrations, and custom AI agent orchestration layers—serving high-growth companies scaling from $1M to $100M+ ARR. Job Summary We are hiring a Head of Engineering, GTM Systems to lead the transition from no-code automation to AI-agent-driven, code-first infrastructure . This role is ideal for a builder who started in automation (e.g., workflow tools, enrichment pipelines, API integrations) and is now evolving into full-scale engineering—designing scalable systems, writing production code, and leading technical teams. You will own the architecture powering revenue operations, build intelligent agent systems, and lead a team of engineers delivering high-impact GTM infrastructure across multiple client environments. Key Responsibilities AI Agent Architecture & Engineering Design and build AI-powered GTM systems—from signal detection and enrichment to campaign orchestration and response handling Develop scalable backend systems using Python, JavaScript, or TypeScript Architect integrations across CRMs, APIs, data sources, and outreach platforms Build reusable agent frameworks, templates, and SDK-like components for rapid deployment Team Leadership & Engineering Culture Lead and scale a distributed team of engineers (including offshore talent) Establish best practices for version control, testing, documentation, and deployment Mentor automation-focused engineers into AI-agent and software engineering roles Own hiring, onboarding, and performance management Platform Development & Innovation Drive the shift from no-code workflows to code-first AI systems Evaluate emerging AI tools, LLM capabilities, and automation frameworks Contribute to internal AI tooling and reusable automation libraries Prototype and validate new automation opportunities quickly Systems Reliability & Performance Ensure system reliability through monitoring, logging, and error handling Optimize infrastructure for cost, performance, and scalability Build observability systems to proactively detect and resolve issues Requirements Must-Have Experience Proven experience building GTM automation systems in production (e.g., enrichment workflows, API integrations, CRM automation) Strong understanding of data pipelines, webhooks, and multi-step automation logic Hands-on coding experience in Python, JavaScript, or TypeScript Experience working with AI/LLM-powered systems (prompt design, chaining, context handling) Deep understanding of outbound sales workflows and revenue operations Experience leading or mentoring engineers or technical teams Preferred Qualifications Production-level engineering experience with scalable systems Background in agencies, consultancies, or multi-client environments Familiarity with DevOps practices (CI/CD, monitoring, cloud infrastructure) Active participation in automation, AI, or GTM engineering communities Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an experienced Senior Basis Consultant to provide advanced SAP Basis support and ensure the seamless operation of our clients' SAP environments. The ideal candidate will bring extensive hands-on experience in SAP system administration, performance tuning, and system troubleshooting, playing a key role in maintaining system integrity and availability. Key Responsibilities: Perform advanced SAP Basis administration tasks including system installation, configuration, upgrades, and patch management. Monitor SAP systems to identify performance issues and proactively implement solutions to enhance system stability and efficiency. Manage database administration and tuning, ensuring optimal SAP HANA or other SAP-supported databases performance. Lead complex troubleshooting efforts across SAP landscapes and coordinate with cross-functional teams to resolve issues. Implement security policies and user administration to safeguard SAP environments. Provide mentorship and guidance to junior Basis consultants, promoting knowledge sharing and best practices within the team. Document procedures, system configurations, and changes for compliance and knowledge management. Collaborate with project teams on SAP system migrations, landscape transformations, and new implementations. Participate in on-call rotations to provide 24/7 support for critical SAP systems as required. Requirements Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Minimum 7 years of experience in SAP Basis consulting or administration roles. Expertise in SAP system installations, upgrades, and performance tuning, including SAP HANA. Strong knowledge of database management systems (e.g., Oracle, SAP HANA), and operating systems (Linux, Windows). Experience with SAP security, user administration, and transport management. Excellent problem-solving and analytical skills with attention to detail. Strong communication skills and ability to work both independently and collaboratively within teams. Experience mentoring junior team members and leading technical initiatives. Relevant SAP certifications such as SAP Certified Technology Specialist or above are highly desirable. Ability to handle multiple priorities in a fast-paced environment and participate in on-call support as needed. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: United States About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing, technology-driven staffing platform transforming how businesses recruit and manage talent. By leveraging AI-powered matching, credential verification, and a seamless mobile-first experience, the company enables organizations to access high-quality candidates quickly and efficiently. Their platform supports modern workforce solutions including flexible staffing, digital onboarding, and integrated payroll systems. Job Summary We are hiring a Sales Development Representative (SDR) for a remote sales job focused on outbound prospecting within the staffing and recruitment industry. This role is ideal for a high-energy, results-driven professional with experience selling into HR, staffing, or recruitment companies. You will play a critical role in driving pipeline growth by booking qualified meetings for senior sales executives through high-volume outbound calling and strategic prospect engagement. Key Responsibilities Conduct 100–120 outbound cold calls daily , targeting HR leaders, staffing firms, and recruitment agencies Schedule 10–15 qualified sales appointments per week Maintain accurate and up-to-date records in CRM systems (Pipedrive) Research prospects using tools like ZoomInfo to identify high-value leads Collaborate with senior sales executives to ensure smooth handoff of qualified opportunities Support additional sales-related tasks as needed Requirements Based in the us East Coast only - occasional travel Proven experience in selling staffing or recruitment services (must-have) Demonstrated success in appointment setting that contributed to revenue growth Strong communication skills with a professional phone presence Experience with high-volume outbound sales (cold calling) Ability to work independently in a remote environment Proficiency in English (business-level fluency required) Familiarity with CRM systems (Pipedrive preferred) and sales tools (ZoomInfo, Microsoft 365) Strong attention to detail and organizational skills Nice-to-Haves B2B telemarketing or outbound sales experience Experience engaging with executives and decision-makers Background in SaaS, HRTech, or workforce solutions Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Los Angeles, United States Workplace: onsite ABOUT YOU We're looking for a Senior Software Engineer to own the technical foundation for Xsolla's field marketing tooling, a greenfield initiative spanning mobile and web applications used by internal teams and external partners at scale. You'll design and build systems that operate in high-traffic, low-reliability environments and integrate deeply with our CRM, marketing automation, and product ecosystems. This role demands someone who thinks in systems, not screens. You'll make architecture decisions around real-time data sync, API orchestration across multiple third-party platforms, and device-level hardware integrations, all while shipping fast enough to keep pace with a global events calendar. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Cross-platform React Native mobile application development targeting iOS and Android Device hardware integration: camera, NFC, Bluetooth, QR/barcode scanning Responsive, accessible interfaces built for both desktop admin workflows and on-the-ground tablet/mobile use Real-time data visualization and reporting dashboards Server-side rendering and static generation for high-performance public-facing pages REST and webhook integration with CRM platforms (Salesforce, Apollo.io) Marketing automation platform integration (Braze, Amplitude) Qualifications & Skills: 5+ years shipping production web and mobile applications Production AI/LLM integration experience:  you've built features powered by OpenAI, Claude, or similar, not just experimented with them Strong React Native experience with App Store and Google Play releases Strong React/Next.js/TypeScript web development skills Third-party API integration at scale: CRM, marketing automation, or similar enterprise platforms Device hardware integration experience (camera, NFC, QR scanning) Comfort owning the full stack - frontend, API layer, infrastructure, observability Nice to Have: Salesforce or Apollo.io API experience Braze, Amplitude, or similar marketing platform SDKs Kiosk, POS, or event technology background Experience building tools for non-technical end users GCP infrastructure experience Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Senior Software Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Home Based - Americas; Home based - EMEA This is an opportunity to run the worldwide Telco Field Engineering business, helping customers understand and implement Canonical's open source solutions in public clouds and in their own data centers. We work across the entire spectrum of cloud offerings, from Ubuntu itself to virtualisation and private cloud, Kubernetes, and the implementation of sophisticated open source solutions such as MLops platforms, data platforms and more. The Telco department is composed of three regional teams (APAC, EMEA and AMER). We believe that Engineering Directors should be outstanding engineers themselves. They should feel completely at home troubleshooting technical issues and having technical presales conversations with customers. They should contribute to project delivery themselves, but know that the technical contributions they bring are far less significant than their ability to shape the whole team’s direction, focus and delivery. We grow management skills and train engineers, who are interested in soft skills, to be managers. We believe that open source is just starting to transform the tech sector and enterprise compute. Our goal is to make open source easier, more reliable and more secure for deployment and development. We strive to be the provider of ‘most software to most companies’. To deliver on that ambition, our engineers are carefully selected from the applicants across the globe. We select for brilliance and motivation to take open source to the next level. Our engineering managers help teams achieve more than they realised they could, and feel proud of the result. The role of a Telco Field Engineering Director at Canonical The Field Engineering department is our team of cloud solutions architects at Canonical, working directly with our customers, designing private and public cloud solutions fitting their workload needs. The portfolio of products includes on-premise cloud solutions such as Openstack, MicroCloud and Ceph, and solutions that could be deployed either on-premises or in public clouds such as Kubernetes, Kubeflow, Spark, PostgreSQL, etc.  The team works hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. Managers and team members also take part in presales conversations to provide technical advice during the sales process. Within the Field Engineering department, there are multiple focused teams : the Cloud/DC team, the Alliances/Partners team, the IoT team, and the Telco team. The telco industry is moving to software-defined services. This transformation is driven by open source software, cloud computing and the move to VNF / CNF approaches. Canonical Ubuntu is a key platform for telco innovation, and we are growing our team of specialists who work in the industry to accelerate the change. Canonical enables operators and communications service providers to embrace this new world, with a focus on platforms such as Ubuntu, OpenStack, and Kubernetes, and reusable, high quality automation for operations at scale. A Cloud Field Engineering Director is responsible for driving the strategy in presales and delivery for our telco customers. The ability to develop engineering talent, to represent your team from a technical perspective, and to drive collaboration with other teams and customers are all critical to success in this role. You are also expected to actively participate in technical presales to help our department achieve our quarterly goals. Location: This role will be home based, managing teams in worldwide. What your day will look like Lead and develop managers and teams of Field engineers in the areas of Presales and Professional Services Solve customer problems by promoting our technologies and being a trusted advisor Work remotely in a single major time zone Coach, mentor, and offer career development feedback Identify and measure team health indicators Implement disciplined engineering processes Represent your team and product to stakeholders, partners, and customers Develop and evangelise great engineering and organisational practices Plan and manage progress on agreed goals and projects Be an active part of the leadership team, collaborating with other leaders What we are looking for in you A thorough technical understanding of the telco NFVi (VIM), NFVO, VNFM and MEC space and key telco cloud infrastructure technologies like CPU Pinning, NUMA, SR-IOV, DPDK, etc Familiarity with telco architecture and industry standards Working knowledge of at least one of the following domains: Mobile Packet Core (4G/5G), Private Network, Radio Access Network (RAN), Voice, IP Backbone, VAS or OSS/BSS Knowledge of cloud computing concepts & technologies, such as Kubernetes, Openstack, AWS, GCP, Azure, Ceph, etc. Practical knowledge of Linux and networking Experience in technical presales You are a dynamic person who loves to jump in new projects and interact with people Excellent verbal and written communication skills in English Passion and a track record of developing and growing people Experience in leading, coaching and mentoring engineers and managers Organised and able to ensure your team delivers timely, high quality results An exceptional academic track record from high school and, preferably, university as well Willingness to travel up to 25% of the time. Field Engineers attend internal company events, external tech events and customer meetings. Additional skills that you might also bring Second language - Spanish or French preferred Python knowledge Experience collaborating with external partners Experience collaborating with several internal teams and providing stakeholder feedback for engineering roadmaps Understanding of AI and machine learning concepts, including sovereign AI, and their potential applications in telco environments, such as network optimization, predictive maintenance, unified communication, and customer experience improvement Exposure to frameworks such as 3GPP, TM Forum ODA, eTOM, ETSI NFV, ONAP, O-RAN, or similar is a plus What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: 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 Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an Enterprise Customer Success Manager for Industries, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Entertainment, Insurance, Manufacturing and Retail organizations—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll work with organizations across diverse industries that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Experience working with enterprises in teleco, media, retail, industrial, business services Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.