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

Location: United States; Bulgaria; Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE Every model we train runs on infrastructure this role owns. We operate NVIDIA GPU clusters across bare metal and rented capacity, and we're looking for an engineer to join our small research infrastructure team and make that compute fast, reliable, and boring - in the best sense. When the clusters just work, research moves faster. Your impact is measured directly in training throughput and researcher velocity. This is a builder-operator role with real breadth: one week you're writing automation that eliminates a whole class of manual work, the next you're benchmarking a new provider's InfiniBand fabric or on-site bringing new hardware online. You'll have unusual scope and autonomy - we're a lean team where decisions are made by the people closest to the problem. WHAT YOU’LL BE DOING - Operate and improve our GPU fleet end to end: provisioning, scheduling, monitoring, upgrades, capacity planning - Build automation that keeps the fleet healthy without human intervention — node health checks, automated draining and remediation, burn-in pipelines for new capacity - Own the stack beneath the training code: OS images, NVIDIA drivers, CUDA, container runtimes, NCCL, high-speed networking (InfiniBand/RoCE) - Run and tune job scheduling (Slurm or similar) so researchers get compute fairly and fast - Build and maintain high-performance storage for datasets and checkpoints - Hunt down performance problems: stragglers, degraded links, thermal issues, flaky GPUs — and fix the class of problem, not just the instance - Evaluate rented GPU capacity: benchmark it, validate it, hold providers to their SLAs - Hands-on hardware work when it's needed: racking, cabling, diagnostics, coordinating with datacenter staff and vendors - Keep clusters secure by default: access control, network isolation, secrets REQUIREMENTS - Have run large-scale Linux server or GPU environments in production and enjoy both building and operating - Know the NVIDIA stack well — drivers, CUDA, NCCL, DCGM — or have deep systems experience and learn hardware stacks fast - Are comfortable with bare-metal environments, server hardware, and high-speed networking - Write solid automation in Python and/or Bash, with IaC tools like Ansible or Terraform - Are happy digging into noisy data (metrics, logs, PromQL) to find what's actually wrong - Like owning real scope end to end and being the person others rely on - Don't consider any task above or beneath you — datacenter trips included NICE TO HAVE - Experience supporting ML training workloads from the infra side (distributed training failure modes, checkpointing patterns) - Experience evaluating and working with GPU cloud providers - Parallel filesystems (WEKA, VAST, etc) or large-scale object storage - BMC/IPMI/Redfish automation, PXE provisioning at scale - Power and cooling awareness for dense GPU deployments LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions. Responsibilities Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption Decide when a customer need calls for a bespoke build and when it should become a shared capability You may be a good fit if you have Proficiency in Python or TypeScript, with experience shipping working software end to end Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval Experience designing integrations with third-party APIs, data sources, and services The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role A track record of building reusable internal tools, templates, or self-service assets that other teams adopted Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins Experience building evaluation or validation harnesses for AI systems, including reliability checks and graceful fallbacks Experience building always-on or scheduled agentic systems that automate internal workflows Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information Front-end or product design skills that help demos feel polished and intuitive Experience supporting product launches or running launch-readiness programs A history of turning field feedback into concrete product input that influenced a roadmap A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Canada; Toronto, Ontario Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with a pre-written playbook. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents. By translating customer challenges into reusable platform capabilities, you will play a central role in establishing our FDE function from the ground up, defining what success looks like, and shaping the future of AI-first learning. 🛠️ THE DAY-TO-DAY - Build the Blueprint: Thrive in extreme ambiguity. You won't just follow operational rituals—you'll create them. You’ll define how our FDE team operates, set internal playbooks, and figure out the technical roadmap as you navigate uncharted territory alongside our clients. - Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration. - Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub. - Drive Platform Evolution: Translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for our broader ecosystem. - Own the Product Lifecycle: Take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization. - Build the Discipline: Shape the founding FDE team culture, operational rituals, and internal playbooks while defining our technical roadmap and cross-functional org design. 💪 YOUR SUPERPOWERS - Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products. - Agentic AI Expertise: Prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments. - Product-First Mindset: A strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders. - Founder Mindset & Ambiguity Tolerance: You don't wait for clear specs or structured hand-offs. You are energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one. - Rapid Prototyping Agility: Proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback. - Modern Tech Fluency: Proficiency in our core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript). - Systems Architecture: Strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers. - Ecosystem Familiarity: Experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools. 💬 OUR INTERVIEW PROCESS - Step 1: We’ll kick things off with a 30-minute video call with a member of our Talent team. We’ll get to know you, share more about the role and team, and make sure we’re aligned. - Step 2: A 60-minute video call with the hiring manager, where they’ll dig deeper into your experience, approach, and what excites you most about this opportunity. - Step 3: A hands-on technical deep dive and architecture discussion with key stakeholders. - Step 4: A final conversation focused on culture fit, team dynamics, and cross-functional alignment. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Remote USA Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with a pre-written playbook. You will work hand-in-hand with our most forward-thinking, strategic customers to transform complex L&D workflows into autonomous, high-impact AI agents. By translating customer challenges into reusable platform capabilities, you will play a central role in establishing our FDE function from the ground up, defining what success looks like, and shaping the future of AI-first learning. 🛠️ THE DAY-TO-DAY - Build the Blueprint: Thrive in extreme ambiguity. You won't just follow operational rituals—you'll create them. You’ll define how our FDE team operates, set internal playbooks, and figure out the technical roadmap as you navigate uncharted territory alongside our clients. - Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration. - Architect Custom AI Agents: Design, build, and deploy bespoke AI agents that integrate seamlessly with customer systems and the Docebo Agent Hub. - Drive Platform Evolution: Translate hands-on customer insights into foundational platform enhancements, turning bespoke client solutions into scalable features for our broader ecosystem. - Own the Product Lifecycle: Take full ownership from discovery and system architecture to production deployment, monitoring, and iterative optimization. - Build the Discipline: Shape the founding FDE team culture, operational rituals, and internal playbooks while defining our technical roadmap and cross-functional org design. 💪 YOUR SUPERPOWERS - Full-Stack Craftsmanship: 5+ years of hands-on experience building, shipping, and maintaining production-grade full-stack software products. - Agentic AI Expertise: Prior experience building, fine-tuning, or deploying agentic AI systems and LLM-powered applications in production environments. - Product-First Mindset: A strong customer-centric focus with the confidence and communication skills to engage directly with enterprise stakeholders. - Founder Mindset & Ambiguity Tolerance: You don't wait for clear specs or structured hand-offs. You are energized by undefined problems, comfortable making high-stakes decisions with partial information, and obsessed with taking complete ownership from zero to one. - Rapid Prototyping Agility: Proven ability to quickly build prototypes, experiment boldly, and iterate based on real-world usage and customer feedback. - Modern Tech Fluency: Proficiency in our core tech stack, including frontend (React, TypeScript) and backend development (Next.js, TypeScript). - Systems Architecture: Strong architectural background with solid experience navigating distributed systems, AWS, Kubernetes, and LLM providers. - Ecosystem Familiarity: Experience using modern engineering tooling like GitLab, Datadog, OpenTofu, and multi-LLM orchestration tools. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Italy Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As a Deployment Strategist, you'll work as part of a driven and creative team of Forward Deployed Engineers, Go to Market professionals, Product Engineers and other Strategists to deploy ElevenAgents, our enterprise AI platform, against the challenging problems our customers face. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the existing workflows are, what the product needs, what users are motivated by, and where the impact could be. No two days are the same, but as a Deployment Strategist you can expect to: - Meet with strategic customers to deeply understand their AI transformation goals and locate their biggest pain points, particularly around customer-facing and operational workflows powered by AI agents. - Own flagship deals end-to-end — from identifying the right use case to structuring commercial terms (including outcome-based pricing, license fees, and implementation arrangements) and driving them to close. - Embed yourself deeply inside strategic customers: act as a trusted partner with a provisioned account, spend meaningful time onsite, and own delivery outcomes as if you were part of their team. - Identify high-impact use cases through close engagement with customer problems and workflows, and collaborate with Forward Deployed Software Engineers to bring them to life. - Guide customers on best practices for deploying our products (e.g. ElevenAgents); including agent design, agent orchestration, production readiness to maximize adoption and impact. - Scope out potential applications in new industries and expand our AI solutions across different sectors globally. - Present the results of our work and proposals for future work to audiences ranging from technical teams to C-suite executives. - Collaborate with our Research teams to feed field insights back into ElevenLabs' platform and models, helping shape the roadmap. - Build and deliver compelling demos of ElevenAgents and our broader AI technology to new and existing customers. - Collaborate daily with customers' engineering and executive teams to ensure agents reach production and deliver measurable business outcomes. Requirements - 3+ years of experience working with customers in a technical capacity. Direct enterprise customer experience is preferred. - Experience in product development, delivery, and change management - Commercial instinct: comfort engaging in deal conversations, structuring value propositions, and navigating enterprise sales cycles alongside GTM partners. - Basic proficiency in Python and familiarity with API integration, sufficient to prototype, demo, and communicate credibly with engineering teams. - Excellent communication and problem-solving skills; particularly the ability to simplify complex technical concepts and structure clear logic in pursuit of optimal solutions. - A proven track record of taking ownership of complex, ambiguous projects and delivering results. - Adaptability to work across different customer environments, industries, and technical use cases. - Technical aptitude and familiarity with common LLM, tooling and AI agent frameworks. - Ability to creatively map enterprise use cases and workflows to AI systems Location This role is remote-first, so it can be executed from anywhere in Italy, with a preference of Milan. Expect regular travel for customer onsites. Fluency in English and Italian and a deep understanding of the regional and cultural nuances is required. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 We're looking for a frontend-leaning Product Engineer with strong product sense, judgment, and taste to help shape and build Passport https://workos.com/passport. With Passport, accessing your work apps is as simple as unlocking your device, instead of battling one sign-in prompt after another. You’ll build the experiences that make that seamless, while giving administrators clear control over access. You'll help decide what gets built and carry it through to production. Working directly with customers, you'll turn complex identity and device workflows into clear employee and administrator experiences, with hands-on engineering across the stack. You’ll work in an AI-native engineering environment, using AI tools to prototype, build, and iterate while maintaining a high bar for product quality and technical correctness. RESPONSIBILITIES ✔️ - Work directly with customers, solutions engineering, and go-to-market teammates to understand their identity and device setups, identify friction, and prioritize focused improvements. - Build onboarding and access-management experiences that help employees get started and administrators confidently manage access. - Own features from implementation through release and iteration, making pragmatic technical tradeoffs that balance maintainability with momentum. - Collaborate with designers, backend engineers, and security engineers to make complex access workflows simple and secure. - Help shape how AI agents access company tools, working with adjacent product teams to make connections and configuration understandable. QUALIFICATIONS 🌟 - 5+ years of industry software development experience, including shipping user-facing products. - Strong frontend engineering: accessible interfaces, well-structured application state, fast interactions, and thoughtful loading, empty, error, and recovery states. - Full-stack capability: design useful APIs, reason about data models and queries, implement authorization behavior, and debug production issues. Your deepest expertise may be frontend; you can own work across layers and collaborate with specialists when needed. - Strong product sense and judgment: understand customer needs, identify the right problems, and make thoughtful tradeoffs about priorities, scope, quality, and speed, including knowing what not to build. - Strong product taste: you shape how a product works, not just how it looks. You can rethink complex workflows, choose sensible defaults, and make the right actions feel obvious. - Clear communication and independent judgment through ambiguity, with the curiosity to learn unfamiliar systems and collaborate across disciplines. - Bonus: Identity, authentication, authorization, or enterprise integrations, including SAML, OIDC, or SCIM. - Bonus: Experience building desktop applications or device-management workflows. - Bonus: B2B SaaS, developer tools, or employee and administrator products, especially experience building an early-stage product with its first customers. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Products Team at Docker is looking for a Principal Product Manager for our core Sandbox platform. You will own and drive an investment and product area from high-level concept design to delivery and operation. You will help shape the future of a key area of Docker. You will work closely with developers inside and outside of Docker, our customers, as well as our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grows, you will help to foster teams eager to continuously build, measure, and learn. To thrive in this role, you’ll need experience working with developers and a technical knowledge of developer tools. You’ll need to know how to work with the developer community and understand the lifecycle of software development, the software supply chain and how AI agents are safely orchestrated and deployed with sandboxes. You’ll need a relentless drive to try new things, and an eye for detail. Your long-term success will depend on your ability to own the product roadmap and collaborate with the developer community, and scale our services. Most importantly, you’ll need to be okay with taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action. _______________________________________________________________________ RESPONSIBILITIES - You own a product area, the long-term vision, the roadmap, the revenue, and the results. - You believe in and can articulate succinctly, our customers and their pain points. You empathize and understand the world they live in and the constraints they work through. - You will engage deeply with developers and find amazing solutions that solve today's problems while optimizing for tomorrow's vision. - You enjoy building products that are easy to adopt and use. You have a keen design sensibility, and you are always looking for ways to improve the usability of your products. - You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope, in concert with cross functional teams. - You’re a fan of iterative development, working with our customers as well as cross-functional teams to hypothesize, measure impact, and learn from previous releases to iterate on future roadmap plans. _______________________________________________________________________ QUALIFICATIONS - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have created and deployed AI agents at scale and dealt with all the challenges and pain points of such tasks - You are comfortable interacting with a command-line interface. - You have experience building B2B, SaaS or have a background in Public Cloud - You have experience working with tools in the software supply chain and/or software security - You can break down complex technical problems into small, release-able, user valuable features. - You can explain complex ideas simply and communicate across diverse stakeholders. - You have effective written, verbal, and visual communication skills. - You can analyze data, both qualitative and quantitative, to inform decision making. - You have a collaborative approach and ability to work with fast moving, distributed, cross-functional teams. - You have experience running products at various stages of maturity, from legacy to greenfield. - You are a doer as well as a strategist. We are small and need all hands on deck. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Get to know Docker! Vision, mission, values - Understand the team and business unit’s mission - Meet the team along with peers across the business unit and company - Work closely with designers, researchers and engineers to get to know our user’s needs and current pain points. - Work with your Manager and team to review and create quarterly goals - Understand your product’s roadmap and what data is available to make data driven decisions FIRST 90 DAYS - Understand the company’s and business unit’s product vision and how it relates to your team’s objectives - Provide clarity of product vision to your team and how your team contributes to the overall success of the company and business unit - Develop deep understanding of our developers and customers and why they love Docker - Shape your team roadmap and vision in close collaboration with design and engineering peers. - Lead the definition of the team OKRs for the quarter and provide progress reports ONE YEAR OUTLOOK - Lead product initiatives across cross-functional teams to create value for our users - Drive the long term direction of your product including contributions to ARR Visa sponsorship: Not available for this role. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $280,000 – $300,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO We’re hiring a Commercial Counsel to be a core member of Sierra’s legal team. We are looking for someone who has deep expertise in commercial contracts, but also someone who is eager to broaden their scope across IP, regulatory, and product. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we’ll provide the support and opportunities you need to grow and excel as a lawyer. You’ll be part of a legal team that is highly respected within both the company and the broader legal industry—committed to excellence, collaboration, and making a meaningful impact. - Commercial Contracting: Structure, negotiate, and advise on all commercial contracts, including SaaS subscription agreements, technology licenses, professional services agreements, channel partner agreements, vendor agreements, and NDAs. Commercial privacy and security contracting experience (e.g., DPAs, BAAs, security agreements) is a plus. - Operational Excellence: Help build out our commercial function to be best-in-class. We aim to be the fastest and strongest, where the legal team is the differentiator in the contract lifecycle. You will be developing templates, playbooks, and workflows to drive efficiency and scalability. - Expertise: Deep knowledge of practice areas that underpin the commercial practice, including contract law, IP and privacy. You will also want to work in AI and understand the nuances of law as it relates to AI, including the evolving regulatory frameworks. You will be expected to advise broadly on all contractual issues and be comfortable doing so. - Teamwork: A team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues and be accustomed to sharing and helping the team succeed. - Judgment: Understand risk in the context of a hyperscaling business, have sound judgment, and be strategic in your decision-making. You will not be afraid to make judgment calls, and you will be empowered to do so. - Approach: A strong work ethic with an eye for detail. You will strive for perfection and expect that of others. - Collaborate: Collaborate cross-functionally with Sales, Operations, and Agent Development teams to support revenue growth and strategic business initiatives. WHAT YOU’LL BRING - 2-6 years of legal experience, with a combination of both large law firm and in-house experience at a tech company. - A strong background in negotiating and managing complex commercial contracts, preferably in SaaS, AI, or enterprise software. - Strong communication skills (verbal and written) and the ability to partner with both legal and non-legal stakeholders. - A proactive mindset and the ability to navigate ambiguity in a fast-paced, dynamic startup environment. EVEN BETTER… - Experience of privacy/regulatory frameworks and can advise on data processing agreements and security-related contract provisions. - Non-English languages, especially Spanish, German and French. - A passion for AI, with a deep understanding of AI products, LLMs and the related legal issues. - Law firm experience at a top-tier, internationally recognized law firm. - Experience working at a high-growth startup and operating with a sense of ownership. - Industry specific knowledge in any of the following: Financial Services, Healthcare, Telecoms, Insurance and/or Consumer. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA or Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE The Products Team at Docker is looking for a Principal Product Manager for our core Sandbox platform. You will own and drive an investment and product area from high-level concept design to delivery and operation. You will help shape the future of a key area of Docker. You will work closely with developers inside and outside of Docker, our customers, as well as our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grows, you will help to foster teams eager to continuously build, measure, and learn. To thrive in this role, you’ll need experience working with developers and a technical knowledge of developer tools. You’ll need to know how to work with the developer community and understand the lifecycle of software development, the software supply chain and how AI agents are safely orchestrated and deployed with sandboxes. You’ll need a relentless drive to try new things, and an eye for detail. Your long-term success will depend on your ability to own the product roadmap and collaborate with the developer community, and scale our services. Most importantly, you’ll need to be okay with taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action. _______________________________________________________________________   RESPONSIBILITIES - You own a product area, the long-term vision, the roadmap, the revenue, and the results. - You believe in and can articulate succinctly, our customers and their pain points. You empathize and understand the world they live in and the constraints they work through. - You will engage deeply with developers and find amazing solutions that solve today's problems while optimizing for tomorrow's vision. - You enjoy building products that are easy to adopt and use. You have a keen design sensibility, and you are always looking for ways to improve the usability of your products. - You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope, in concert with cross functional teams. - You’re a fan of iterative development, working with our customers as well as cross-functional teams to hypothesize, measure impact, and learn from previous releases to iterate on future roadmap plans. _______________________________________________________________________   QUALIFICATIONS - You have deep empathy for the needs of developers and are obsessed with talking to your users. - You have created and deployed AI agents at scale and dealt with all the challenges and pain points of such tasks - You are comfortable interacting with a command-line interface. - You have experience building B2B, SaaS or have a background in Public Cloud - You have experience working with tools in the software supply chain and/or software security - You can break down complex technical problems into small, release-able, user valuable features. - You can explain complex ideas simply and communicate across diverse stakeholders. - You have effective written, verbal, and visual communication skills. - You can analyze data, both qualitative and quantitative, to inform decision making. - You have a collaborative approach and ability to work with fast moving, distributed, cross-functional teams. - You have experience running products at various stages of maturity, from legacy to greenfield. - You are a doer as well as a strategist. We are small and need all hands on deck. _______________________________________________________________________   WHAT TO EXPECT FIRST 30 DAYS - Get to know Docker! Vision, mission, values - Understand the team and business unit’s mission - Meet the team along with peers across the business unit and company - Work closely with designers, researchers and engineers to get to know our user’s needs and current pain points. - Work with your Manager and team to review and create quarterly goals - Understand your product’s roadmap and what data is available to make data driven decisions FIRST 90 DAYS - Understand the company’s and business unit’s product vision and how it relates to your team’s objectives - Provide clarity of product vision to your team and how your team contributes to the overall success of the company and business unit - Develop deep understanding of our developers and customers and why they love Docker - Shape your team roadmap and vision in close collaboration with design and engineering peers. - Lead the definition of the team OKRs for the quarter and provide progress reports ONE YEAR OUTLOOK - Lead product initiatives across cross-functional teams to create value for our users - Drive the long term direction of your product including contributions to ARR   Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $280,000 – $300,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO We're hiring a Product Counsel to be a core member of Sierra's growing legal team. This role will report to our Associate General Counsel, Product and Privacy, as part of our growing product legal function. We are looking for someone who has deep expertise in product counseling for AI or other emerging technologies. You will be a legal partner for Sierra’s product and engineering teams, and help shape how our products go to market responsibly, ensuring privacy, compliance, and risk considerations are embedded throughout the product lifecycle. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we'll provide the support and opportunities you need to grow and excel as a lawyer. You'll be part of a legal team that is highly respected within the company — committed to excellence, collaboration, and making a meaningful impact. Product - End-to-end responsibility for product legal support: counsel Product and Engineering teams from concept through launch across Sierra's agent platform and new products. - Work closely with Engineering teams to integrate compliance and privacy-by-design principles and AI transparency measures into product development. - Advise the customer-facing Agent Development teams on legal requirements of product features, including consumer protection, telecommunications (e.g., voice and messaging), and industry-specific requirements for regulated customers. - Develop scalable product review processes, launch checklists, and self-serve guidance that let product teams move quickly. Regulatory (with focus on AI) - Advise on emerging AI-specific regulations and their applicability to Sierra's products. - Partner with the privacy team to implement AI governance policies and frameworks to ensure responsible AI deployment. - Monitor legal developments affecting AI products, advising product leadership on risks, trends, and design implications. WHAT YOU’LL BRING - 4+ years of legal experience, with a combination of large international law firm and in-house experience at a tech company. - Experience advising product and engineering teams on new product development, ideally involving AI/ML, communications, or platform products. - Working knowledge of the legal domains that touch product development, including privacy (e.g., GDPR, CCPA), AI regulatory frameworks (e.g., EU AI Act, NIST AI Risk Management Framework), consumer protection, and IP. - Ability to partner with technical teams to understand all aspects of Sierra's product offering. - Strong analytical skills and the ability to balance legal risks and business objectives in a fast-moving environment. - Strong verbal and written communication skills and the ability to partner with both legal and non-legal stakeholders. - A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others. - Be a team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed. EVEN BETTER… - Experience with voice/telephony products and related regulatory regimes (e.g., TCPA, state call recording laws). - Experience counseling on products sold into regulated industries (healthcare, financial services). - Familiarity with machine learning models and their associated risks. - Previous experience developing trust and safety or responsible AI programs. - Startup experience and comfort with rapid iteration and ambiguity. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: London Workplace: Remote Coder is growing from about 220 to 500 people by the end of 2027, and our People team is growing with us. We work in pods (GTM, R&D, G&A), each with its own HRBP and Generalist, so leaders always know who to call. You'll be our first People presence on the ground in London and the day-to-day HR contact for the GTM pod, including our UK team and employees across our Employer of Record (EOR) arrangements. Our London entity is already up and running, so you'll keep the international employee experience running smoothly, help it mature, and work closely with the HRBPs on anything complex. What you'll do - Be the primary day-to-day HR contact for GTM employees, including UK and EOR employees - Own offer letters, contract administration, and onboarding workflows for international hires, including country-specific requirements - Administer benefits for our UK entity and across EOR providers, and recommend improvements as our international population grows - Keep our UK employment practices compliant and current, working with Legal, Finance, and the HRBPs on policies, contracts, and statutory requirements - Keep international employee data accurate in Rippling and Deel, and support audits and reporting - Answer employee questions on benefits, policies, leave, and pay, and escalate complex matters to the HRBP - Identify and implement improvements to how we onboard, administer, and offboard international employees What we're looking for - Must be located in the London metro area - 3+ years in HR or People Operations, with UK employment experience - Working knowledge of UK employment law (contracts, right to work, statutory leave) and familiarity with EOR models - Hands-on experience with Rippling and/or Deel - Comfort being autonomous as the only People team member in London - Detail-oriented enough to catch a contract error before it ships, and strategic enough to know when to escalate - Extremely collaborative, working with a US-based team across time zones Bonus tacos if you have (Tacos? Ask us how we say thanks by giving tacos!) - Experience in a newly established UK entity or an early-stage international People function - Exposure to EMEA employment law beyond the UK - A high-growth startup background, ideally in a technical or SaaS environment As our London team and international footprint grow, this role is expected to grow in scope with the business. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Austin Workplace: Remote Coder is growing from about 220 to 500 people by the end of 2027, and our People team is growing with us. We work in pods (GTM, R&D, G&A), each with its own HRBP and Generalist, so leaders always know who to call. You'll be the HR partner for our R&D leaders, and the international employment expert for the UK, our Employer of Record (EOR) countries, and APAC. This is a foundational hire for our London entity buildout, and you'll work alongside a London-based Generalist and outside UK counsel. What you'll do - Partner with R&D leaders on performance, org design, employee relations, and people strategy, and flag risks early - Advise on international ER and org changes under local law, and know when to bring in outside counsel for high-risk matters such as redundancy and terminations - Help build our UK employment infrastructure with Legal and Finance: contracts, probation and notice terms, right to work, statutory leave, policies, and benefits - Manage our EOR relationships (Deel, Rippling) and plan the path from EOR to direct employment in key markets - Track regulatory changes in the UK and our active EOR countries, including the Employment Rights Act changes, and proactively flag risks - Own performance, compensation cycles, promotions, and leveling for the pod with the HR Manager and Total Rewards - Build repeatable country playbooks so each new market doesn't start from scratch - Keep international employee data accurate in Rippling and Deel, and support audits and reporting What we're looking for - Must be located in the Austin metro area - 5+ years of HRBP experience, including employee relations, with meaningful UK and/or international exposure - Strong working knowledge of UK employment law, and familiarity with EOR models and their limitations - Hands-on experience with Rippling and/or Deel - Comfort working independently across time zones, with early UK-hours overlap and occasional UK travel - Detail-oriented enough to catch a contract or comp error before it ships, and strategic enough to know when to escalate - Extremely collaborative, working closely with a US- and London-based team Bonus tacos if you have (Tacos? Ask us how we say thanks by giving tacos!) - Preferred: SHRM-SCP, SPHR, or equivalent hands-on HR experience - Experience supporting a company through a legal entity launch - Exposure to APAC or EMEA employment law beyond the UK - Experience partnering with engineering or R&D teams in a high-growth SaaS company As our international footprint grows, this role is expected to grow in scope and strategic ownership. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote - US About LaunchDarkly Engineering LaunchDarkly helps engineering organizations ship software and AI with speed, safety, and control. Our platform gives teams the confidence to release gradually, target experiences to the right audiences, learn through experimentation, understand what is happening in production, and respond quickly when risk appears. Our engineers build the systems, services, SDKs, developer tools, cloud infrastructure, and product experiences that make this possible. The work spans high-scale distributed systems, reliable data and event pipelines, intuitive enterprise workflows, and AI-powered capabilities that help teams manage the next generation of software delivery. LaunchDarkly’s SDKs are used in systems that perform trillions of feature flag evaluations each day, giving our engineering work a direct connection to the reliability and customer experience of software around the world. As the company grows, we are expanding beyond traditional feature management into experimentation, observability, and AgentControl—helping customers control more of the software and AI lifecycle. That creates an unusually broad set of technical challenges, visible customer impact, and room for engineers to shape what comes next. We believe in the power of teams. We work with humility, openness, curiosity, and care; we value clear communication, thoughtful technical judgment, inclusive collaboration, and a strong sense of ownership. We encourage people to apply even when they do not meet every qualification listed below. We are interested in the experience, perspective, and potential you would bring to the role. About the Job As a Software Engineer on LaunchDarkly’s SDK team, you will build the primary touchpoint that our customers interact with on a daily basis. You’ll work with multiple technologies across our 35+ SDKs while enabling customers of all kinds to feature flag their code. When working on our SDKs, you’d be contributing to much more than thin client wrappers. Our SDKs are feature-rich agents with strong emphases on performance, concurrency, and resiliency -- all while following idiomatic practices for their tech stack. LaunchDarkly serves trillions of feature flags daily to customers all around the globe, and every flag is handled by our SDKs. This team has a major impact not only on our company, but on our customers (and their customers). We are growing fast and we need your help writing the next chapter in our story. Responsibilities: Contribute to development for SDKs in supported platforms : Implement new features and improvements to meet customer performance and resiliency requirements Keep up to date with the latest development practices Collaborate with our engineering and product teams to drive the implementation and release of major features Actively maintain our open-source repositories Identify areas of improvement and advocate for best practices Have an active voice in shaping both technology and product decisions Basic Qualifications: Demonstrable experience building libraries and packages used by other developers Polyglot background with an ability to context switch between languages quickly 5+ years experience with at least two of the following: .NET/Go/Ruby/Python/NodeJS/Java Experience with the following is a plus: C++/Erlang/Haskell/Lua AI SDKs Observability SDKs Mobile development Strong computer science fundamentals Committed to working in a communicative, collaborative environment Self‐starter and problem solver, willing to solve difficult problems and work independently when necessary Strong testing background: experience building unit, integration, load tests, and benchmarks Experience writing production-ready code with emphasis on quality and maintainability Experience contributing to open-source software Logistics: This is a remote role, with opportunities to visit the office in the Bay Area, California, for team offsites The SDK team is spread between Eastern and Pacific time zones Highlights: You will work collaboratively with a team of highly experienced engineers who are amazing at the craft of engineering and building SDKs Your contributions will be publicly visible as the SDK team develops LaunchDarkly’s open-source SDKs in public LaunchDarkly uses our own SDKs. You will have opportunities working with the other teams within LaunchDarkly In this role, you can learn about many programming languages and frameworks You will have opportunities to strongly influence roadmap and prioritization Pay: Target pay ranges based on Geographic Zones* for Level 3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $171,200 - $235,400** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $154,100 - $211,860 ** Zone 3: All other US locations - $ 145,500 - $200,090 ** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Huntsville, Alabama Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Job Summary The Staff Full Stack Engineer engineer role in which you lead technical efforts, owning system architecture and development across the stack. You will exercise high discretion over technical decisions to achieve business outcomes. You will be building external attack surface management technology that builds a picture of a target organization from the outside: domains, hosts, software, people, registrations, documents the customer hands us. You will own the part of the system that turns all of that into facts an analyst can trust: what we observed, what we inferred from it, where each fact came from, and what a human decided about it. Your job is to make it a general framework for passive illumination, so the next data source is a week of work, not a new tab. Education, Experience, Knowledge, Skills, and Abilities 7+ years of experience of software development experience Strong proficiency in TypeScript and modern JavaScript. Extensive experience with React and JavaScript web development frameworks (Next.js preferred) Familiarity with OAuth2, JWT, and other authentication/authorization frameworks. Experience with CI/CD pipelines and cloud deployment platforms (Vercel, AWS, Azure, or GCP) Experience with ORM frameworks and relational databases (Prisma, Drizzle, PostgreSQL) Excellent debugging, analytical, and problem-solving skills. Cybersecurity knowledge, such as how penetration testing, OSINT, and red teaming works. Active secret security clearance is required. Preferred Experience Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and AI application development Familiarity with AI orchestration frameworks and agent-based systems Working Conditions & Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - hybrid, work-from-home most of the time with some onsite work. Pay Range Disclosure The base pay range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to Qualifications, Geographical Location, Education/certifications, Experience, Skill Sets, Training, and other business and organizational needs. At Bugcrowd, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for the position i s: $151,360 - $189,200. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: Denmark - Remote; Sweden - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Chainguard is building a safer foundation for software. We work with security and engineering teams who care deeply about supply chain security, open source, and modern infrastructure. We’re looking for a BDR who already knows how to run outbound, and is ready to take it further into more technical conversations, more complex organizations, and more strategic account development. This role is about earning attention from engineers and security leaders , not just landing meetings. You’ll partner closely with enterprise AEs to break into high-value accounts and build pipeline that actually converts. What you’ll do: Drive enterprise account strategy - Work alongside AEs to map target accounts and identify the right entry points across security, platform, and engineering teams. Run thoughtful, technical outbound - Craft highly personalized outreach that resonates with developers, DevOps, and security leaders — no generic sequences. Understand how modern infrastructure works - Research how companies build and ship software (containers, CI/CD, cloud environments) to make your outreach relevant and credible. Lead meaningful early conversations - Qualify opportunities by understanding technical context, risk posture, and business priorities. Build real pipeline, not just meetings - Focus on creating opportunities that move forward — quality over quantity. Act as an extension of the AE - Collaborate on account plans, messaging, and deal progression. Use tools intelligently - Leverage Salesforce, Outreach/Salesloft, and data tools to execute efficiently — but never at the expense of quality. Continuously improve the motion - Test messaging, share insights, and help refine how we engage the market. Be a feedback loop to the business - Bring insights from conversations back to marketing and product — especially what resonates (or doesn’t) with technical buyers. What we're looking for: At least 6 months of BDR/SDR experience (or equivalent transferrable experience) Proven ability to generate pipeline through outbound (not just inbound qualification) Experience engaging multiple stakeholders within technical or complex organizations Strong writing skills — especially in crafting personalized, relevant outreach Curious and motivated to learn how modern software and security actually work Comfortable navigating ambiguity and building your own approach Experience with Salesforce, Outreach/Salesloft, or similar tools Track record of hitting or exceeding pipeline targets What makes this role compelling: Sell something technical buyers respect — security + open source + developer-first Go deeper technically — engage with real infrastructure and security problems Operate as part of the deal team — not just top-of-funnel support Have real impact on revenue — not just activity metrics Compensation: $100,000 OTE About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Mexico POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make Growth at Incode owns the top of funnel - the pipeline that feeds every region's revenue number. This role exists to build the systems that generate it. You'll ship AI agents, automations, and workflows across the full top-of-funnel surface: outbound, inbound, lead qualification and routing, event and conference motions, account and competitive research. The work is grounded in live Salesforce, Supabase, and Outreach data and supports revenue teams across NAM, LATAM, and EMEA. The Growth AI Office - our multi-agent GTM operating system - is where it lives, and a fleet of these agents is already in daily production use. Today that fleet is built and maintained by a single engineer. You are the second builder. You'll design and ship new agents, harden the ones already running, and own the integration layer that connects them to the systems revenue actually runs on. This is not an internal-tools ticket queue and it is not research. It is applied engineering where the output is measured in qualified pipeline, meetings held, and hours returned to a 24-person revenue team. A note on the title: "Growth Engineer" means different things at different companies. Here it does not mean product-led growth or experimentation infrastructure - Incode sells to banks, fintechs, marketplaces, and governments, and there is no self-serve funnel to optimize. It means engineering applied to pipeline generation. You will write and deploy production Python and Node services, stand up MCP servers, and own your own CI/CD - not configure a no-code platform. If your strongest work is A/B test infrastructure and activation metrics, or enrichment waterfalls inside a vendor UI, this is the wrong role. If you are an engineer who chose revenue systems as your problem space, keep reading. What You’ll Own & Drive Top-of-Funnel Agent Development - Design, build, and ship production LLM agents that generate and qualify pipeline: scoped skills, explicit guardrails, human-in-the-loop checkpoints, and clean multi-agent handoffs. Take agents from concept to daily use by non-technical operators across outbound, inbound, and event motions. MCP & Integration Infrastructure - Build and operate the Model Context Protocol servers and clients that connect agents to Salesforce, Outreach, Supabase, ZoomInfo, Notion, and Slack. Own authentication, token scoping, pagination, rate limiting, and graceful failure - including for systems with no native integration path. Grounding & Evaluation - Keep agent output tied to real records, not plausible-sounding invention. Build schema-aware retrieval, reconciliation checks, eval harnesses, and regression tests so a prompt change never silently degrades a production agent. Workflow & Decision Automation - Implement routing, scoring, and trigger logic across automation platforms (n8n, Tines-class) and custom services: webhooks, scheduled jobs, event-driven pipelines. Internal Tooling & Reporting - Build the web apps, dashboards, and interactive reporting that put agent output in front of BDRs and leadership in a form they'll actually use. Documentation & Durability - Write the runbooks, skill specifications, and architecture docs that make the agent fleet maintainable by more than one person. Enable GTM operators to extend what you build without filing a ticket. The Qualities That Set You Apart Agent-Native Builder - You've shipped LLM-powered systems that real people depend on, and you know the difference between a demo and something that survives contact with messy production data. Integration Instinct - You default to connecting systems rather than replacing them, and you're comfortable building the middleware that vendors didn't. Evaluation Discipline - You treat prompts and agent skills as code: versioned, tested, measured. You can tell someone whether a change made an agent better, with evidence. Data Integrity First - Before you automate on top of a number, you check whether the number is trustworthy. You've been burned by a bad join and you don't intend to be again. GTM Fluency - You can read a pipeline report, hold a conversation about conversion rates, and design for how a seller actually behaves rather than how the org chart says they should. Ownership Under Ambiguity - You scope your own work from a business problem, ship something usable fast, and iterate. You operate like a founder with a unicorn's resources behind you. Handoff Mindset - You write so that the next person can run it. You measure success partly by how little you're needed for maintenance. Your Background Engineering foundation 4+ years professional software engineering 1+ year building and shipping LLM-powered applications or agents to production - used daily by people who are not engineers Strong Python and Node.js/TypeScript in production; React sufficient to build internal UI end to end At least one internal application you built start to finish: data model, backend, interface, auth, deployment, and the maintenance afterward CRM and revenue systems - required Hands-on experience with both Salesforce and HubSpot. We run both, and this role writes against both. We are not asking for admin certification - we are asking for working fluency: standard and custom objects, field-level behavior and validation, record ownership and sharing, REST and bulk APIs, and a clear sense of what breaks downstream when you change something upstream Sales engagement platform experience - Outreach, Salesloft, or Apollo: sequence and step models, prospect and mailing data structures, and API access patterns A realistic view of how revenue data degrades in practice: duplicates, stale ownership, unenforced picklists, half-migrated fields - and what that means for anything automated on top of it Bonus: enrichment and contact data providers (ZoomInfo, Clay, Lusha-class) at the API level rather than the UI level Databases and data work Production experience with Postgres or Supabase: schema design, migrations, indexing, query tuning, row-level security SQL fluency against a warehouse - Redshift, Snowflake, or BigQuery-class - including window functions and incremental models You have reconciled the same metric across two systems, found the delta, and explained it to a non-technical stakeholder Automation, end to end You have designed, built, deployed, monitored, and maintained automations in production - not just built them. You own the alerting and the failure modes for your own work Webhooks, queues, scheduled jobs, retries, idempotency, and backfills. You have debugged a job that silently stopped firing Automation platform experience (n8n, Tines, Zapier-class) and the judgment to know when to abandon the platform and write the service instead. We care more about the second half of that sentence Routing, scoring, and decision logic implemented as code with test coverage, not as a chain of conditional blocks nobody can read AI and agents Hands-on with MCP - servers, clients, custom endpoints - or an equivalent tool-calling and agent framework Production LLM API integration (Anthropic-class): structured output, tool definitions, context management, cost and latency tradeoffs Prompt and skill design treated as versioned artifacts, with some method for evaluating whether a change helped Deployment, integration, and security Cloud deployment ownership: AWS, containerized hosting, CI/CD (GitHub Actions); Terraform or another IaC tool a plus OAuth flows, token lifecycle and refresh, credential vaults, header auth, and least-privilege scope review on the integrations you build Nice to have Experience supporting a multi-region revenue team (NAM, LATAM, EMEA) and the data-residency questions that come with it Event and conference lead-capture tooling Notion and Slack API work Experience enabling non-technical teams on AI tooling - documentation, training, internal adoption The Work You've Done Before Come ready to walk us through two or three things you have built. The strongest candidates we have seen have shipped work like: An internal application a non-technical team now uses every day, where you owned it from data model to deployment A two-way integration between two systems that had no native connector, including how you handled auth, rate limits, and partial failure An agent or automation that replaced a recurring manual process, with a before-and-after number attached to it A data reconciliation between a CRM and a warehouse where the two disagreed and you determined which one was right Something you built, documented, and handed off - that someone else now runs without you We care more about what you shipped and what broke than about which tools were on the sticker. If your strongest work used a stack we did not list, tell us about it anyway. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.