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Reporting into the Head of People, the HR Business Partner will serve as a strategic partner to our teams globally, while also collaborating with the rest of the people team on global initiatives.  This role goes beyond traditional HR functions, serving as a true business partner who understands regional complexities while delivering consistent people-first solutions that fosters an environment where brilliant minds can do their best work. The ideal candidate will be a versatile professional who can navigate cultural nuances, compliance requirements, and strategic people initiatives to drive organizational success in a fast paced environment.  Key Responsibilities: HR Business Partnership Serve as a trusted advisor to People Managers providing guidance on people-related matters Translate company vision into people-centric programs that enhance our competitive advantage in the AI talent market Provide data-driven insights on workforce trends, helping People Managers make informed decisions about team structure, growth, and development Support organizational design that optimizes for innovation, collaboration, and knowledge sharing across technical and non-technical teams Talent Enablement & Employee Relations Design and implement enablement programs that accelerate the performance of our teams Create learning pathways that help employees navigate the rapidly evolving AI landscape Establish mentorship and knowledge-sharing frameworks that leverage our collective expertise Support career development for highly specialized roles with unique progression paths Manage performance review processes for your regions and provide guidance on performance improvement plans HR Operations & Employee Experience Oversee full-cycle people operations ensuring excellence in onboarding, performance management, and retention Create scalable people processes that maintain our agility while supporting growth Develop and nurture a distinctive company culture that balances technical excellence with human connection in a remote first workplace Facilitate career development conversations and succession planning Address and resolve complex employee relations issues with sensitivity to cultural contexts Promote a positive workplace culture that embraces diversity and inclusion Regional Compliance & Policy Management Ensure HR practices comply with local employment laws across multiple jurisdictions Stay current on employment legislation  Advise managers on risk mitigation strategies for people-related decisions Compensation & Benefits Support compensation review processes across regions Provide input on competitive and equitable compensation structures Explain complex benefits information to employees in clear, accessible terms Experience & Qualifications Minimum of 5+ years of progressive HR experience, ideally with at least 3 years supporting international regions In-depth understanding of employment laws in our markets Strong knowledge of HR best practices across multiple HR functions Excellent conflict resolution, communication and negotiation skills Experience with HR analytics and data-driven decision making Familiarity with the unique challenges of AI companies (ethics, rapid technological change, specialized talent) Exceptional cultural intelligence and ability to navigate diverse work environments Strategic mindset balanced with operational excellence Proficiency with HRIS systems and HR technology platforms Experience in technology, research, or AI-focused environments highly valued CIPD, SHRM certification or equivalent HR credentials a plus Compensation The salary range for this role is between $130,000-$150,000 USD. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits. Equal Employment Opportunity: 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.

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Product Engineering team at Decagon innovates on and refines the user experience, technical architecture and core features that power the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Product Engineering team, you’ll guide teams to build products that enable Customer Experience teams to train AI agents. Your team will develop cutting-edge methods to extract product insights from the treasure trove of unstructured data generated through conversations with end users.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willLead a team to design an AI agent building platform that supports Customer Experience teams in training AI agentsDevelop techniques for extracting insights from unstructured conversational data that drive product decisionsBuild automation that monitors and detects issues across hundreds of millions of interactionsBreak down ambiguous product ideas into clear, iterative milestones and roadmaps.Your background looks something like thisHave 3+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Typescript, Python and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $415K + Offers Equity

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Research team, you’ll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We're looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willDevelop models for customer support tasks that exceed the performance of closed source modelsExperiment with small open-source models to drive order of magnitude reductions in latency across channelsBreak down ambiguous research ideas into clear, iterative milestones and roadmaps.Your background looks something like this3+ years of experience in AI/ML engineering or research.Proven track record of working on AI/ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.Prior experience working with multi-modal modelsBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$250K – $415K + Offers Equity

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trust to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $275K + Offers Equity

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamDecagon’s Talent team partners directly with company leadership to shape org design, define what exceptional looks like, and hire the people who will shape our future. We’re Gen AI-native and constantly pushing the boundaries of how Talent teams operate - moving fast, solving hard problems, and playing a critical role in building a world-class organization.About the RoleDecagon is rapidly scaling our team and looking for highly capable Recruiters to fuel this growth. As a Technical Recruiter, you’ll have ownership and autonomy in partnering closely with company leaders and building world class teams. This role is for someone who is a builder at heart and driven to create outsized impact.In this role, you willPartner with company leaders and Co-Founders to build our Engineering, Product & Design and Agent Product Management teamsThink outside of the box to engage with and close top talentBuild and optimize interview processes for speed and efficiencyOperate with a one team mindset in meeting bold team wide hiring goalsYour background looks something like thisHave 5+ years of experience in a full-cycle recruiting roleYou’ve built and scaled top talent teams in competitive marketsAn effective communicator and adept at building strong partnerships with stakeholders and candidates alikeYou’re comfortable navigating ambiguity and a fast paced environmentEven betterBring deep knowledge of the AI talent landscape and a network of top-tier candidatesUse data proactively to unblock hiring challenges and inform decision-makingHave a sharp eye for talent and a clear philosophy on what separates the exceptional from the greatCompensation$170k - $230k + equity

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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 performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.  As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.  You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment.   Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety   You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience managing teams through periods of rapid growth and change Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective   Strong candidates may also have experience with:  High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers The expected salary range for this position is:Annual Salary:$425,000—$560,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. 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.

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Who We Are.Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass.Grass is a network sharing application that allows users to share their unused bandwidth. Effectively, this is a residential proxy network that directly rewards individual residential IPs for the bandwidth they provide. Grass will route traffic equitably among its network and meter the amount of data that each node provides to fairly distribute rewards.In non-technical terms: Grass unlocks everyone's ability to earn rewards by simply sharing their unused internet bandwidth on personal devices (laptops, smartphones).This project is for those who lead with initiative and seek to challenge themselves and thrive on curiosity.We operate with a lean, highly motivated team who revel in the responsibility that comes with autonomy. We have a flat organizational structure, the people making decisions are also the ones implementing them. We are driven by ambitious goals and a strong sense of urgency. Leadership is given to those who show initiative, consistently deliver excellence and bring the best out of those around them. Join us if you want to set the tone for a fair and equitable internet.The Role.We are seeking an experienced Technical Chief of Staff with a strong technical background to oversee operations and coordinate projects within our engineering organization. This role requires a highly organized individual with a deep engineering knowledge. You will join a small, dynamic team and lead efforts as the key liaison between the CTO and engineers. This is a unique title for a role, we didn’t know what to call it. Truth is, if you are the right candidate we can decide to call this role whatever you want. We are looking for someone who is technical, entrepreneurial, and wants to play a high visibility, key cross-functional role.Who You Are.Acts with integrity and seeks out responsibilityDemonstrates resilience, resourcefulness, and motivation for getting things doneOrganized and pays attention to details.Approaches challenges as opportunitiesCurious and eager to learnWelcomes feedback and open dialogueValues team success over personal recognitionProcess drivenWhat You'll Be Doing.Act as a bridge between management and engineers, ensuring clear communication.Provide technical guidance and support to project teams when needed.Troubleshooting engineering process issues, and optimizing the onboarding process for new team members.Owning and maintaining our developer documentation, ensuring clarity, comprehensiveness, and overall excellence.Being a thought partner for our product roadmap by collaborating with the CEO, CTO, and customers, bringing insights and highlighting developer needs.Contributing to newsletters, blog posts, and release notes to keep our audience informed about new features and product updates.Skills, Requirements, and Qualifications.Bachelor’s degree in Software Engineering, Computer Science, or equivalent work experience.Background as an engineer, or in a cross-functional technical role such as a technical product manager at an early-stage company.Experience in a customer-facing or stakeholder-facing role.Experience writing code, either professionally or as a hobby/side project.Experience with cloud platforms like AWS, GCP, or Azure, including networking, security, and automation.Experience with Go, NextJS, ReactJS, JavaScript (ES6+), Chakra UI, RESTful APIs, Git.Experience with developing applications in Typescript/Javascript, Python, and/or Go.Bonus points for managing external-facing developer docs.Ability to communicate effectively, both verbally and in writing.Strong product sense and ability to think critically about prioritization.Ability to manage and balance multiple tasks in a fast-paced, evolving environment.Self-motivated and autonomous, with a passion for problem-solving and continuous learning.Why Work With Us.Opportunity. We are at the forefront of developing a web-scale crawler and knowledge graph that allows ordinary people to participate in the process and share in the benefits of AI development.Culture. We’re a lean team working together to achieve the ambitious goal of improving access to public web data and distributing the value of AI to the people. We prioritize low ego and high output.Compensation. You’ll receive a competitive salary and equity package.