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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 AirOpsToday thousands of leading brands and agencies use AirOps to win the battle for attention with content that both humans and agents love.We’re building the platform and profession that will empower a million marketers to become modern leaders — not spectators — as AI reshapes how brands reach their audiences.We’re backed by awesome investors, including Unusual Ventures, Wing VC, Founder Collective, XFund, Village Global, and Alt Capital, and we’re building a world-class team with in-person hubs in San Francisco, New York, and Montevideo, Uruguay.About the RoleWe're looking for a product-minded AI engineer to help us rapidly define and ship features that make all AirOps customers 10x content engineers.In this role, you'll drive the development of advanced AI systems, including our SEO Strategy Agent and Workflow Builder Copilot. You'll lead the creation of intelligent solutions that empower businesses to optimize their SEO strategy and streamline workflow creation with AI-powered assistance.Joining at a critical juncture, you'll collaborate closely with product management to shape our AI roadmap and technical architecture. ResponsibilitiesDevelop and integrate LLM-powered features such as AI-assisted workflow automation, code generation, and content strategy.Optimize AI performance through prompt engineering, retrieval-augmented generation (RAG), and evaluation frameworks.Build and scale AI infrastructure, ensuring low-latency responses, caching, and cost-efficient model usage.Implement AI observability and safeguards, monitoring quality, security, and compliance.Collaborate with product and engineering teams to deliver intuitive, AI-driven user experiences.Stay ahead of AI advancements, continuously improving our AI-powered capabilities.Collaborate with early adopters to optimize model performance and usability.Qualifications3+ years of experience in machine learning engineering, AI/LLM integration, or applied NLPProven track record of building LLM-powered applicationsStrong experience with foundation models (GPT-4o, Claude, etc.) and advanced prompt engineeringExperience with embedding models (e.g., OpenAI Ada, Cohere, or local vector stores like pgvector, Weaviate, Pinecone)Deep understanding of retrieval-augmented generation (RAG) and contextual AI response optimizationFamiliarity with LangChain, or similar frameworks for orchestrating LLM-powered applicationsStrong programming skills in Python (experience with AI frameworks like Hugging Face, LangChain, or OpenAI SDK)Experience in evaluating LLM performance, running A/B tests, and implementing feedback loops for AI refinementSolid understanding of caching, rate limiting, and cost optimization strategies for AI workloadsAbility to work cross-functionally with engineers, product managers, and end users to develop impactful AI solutionsOur Guiding PrinciplesExtreme OwnershipQualityCuriosity and PlayMake Our Customers HeroesRespectful CandorBenefitsEquity in a fast-growing startupCompetitive benefits package tailored to your locationFlexible time off policyGenerous parental leaveA fun-loving and (just a bit) nerdy team that loves to move fast!

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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.

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly. Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This RoleAs an Applied AI Research Engineer at Norm Ai, you will take a methodical and holistic approach to increasing the coverage and capabilities of our automation platform. You will collaborate closely with and act as a bridge between our software engineering, legal engineering, and product teams to design and refine our AI-driven compliance solutions.You Will:Design and build AI-powered, enterprise-grade software to meet rapidly increasing demands.Regularly contribute performant and high-quality code to our production codebase that conforms to the high standards of our software engineering team. Autonomously prioritize between development velocity and long-term robustness of proposed solutions, always with a ruthless propensity for action.Run experiments with new LLM techniques and technologies across our AI infrastructure, content processing, and regulatory workflows.Write prompts, iterate on them, and design systems for continuous improvement.Develop regulatory expertise that can be used as part of our LLM workflows.Skills & Experience - Core4+ years of experience as a Software Engineer, ML engineer, or Data Scientist.Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis.Willingness to work with frontend technologies (Typescript, react, etc) when required.Experience in AI/ML infrastructure and tooling.Interest in becoming a regulatory domain expert and working closely with legal and regulatory professionals.Strong reading and writing skills.Strong quantitative skills that can enable a data-driven approach to problem solving.Skills & Experience - PlusesExperience deriving insights from PDFs and/or other unstructured or semi-structured data typesFamiliarity with the latest research in LLMs and an eagerness to adopt new model capabilities as they become availableBackground working on complex compliance or regulatory systems.What Success Looks Like - 30 DaysNorm Ai Integration: Rapidly familiarize yourself with Norm Ai's existing codebase, architecture, and the unique challenges of our AI-driven compliance solutions. Within the first two weeks, we expect meaningful contributions to our production codebases.AI Engineering: Rapidly familiarize yourself with the data flows in Norm Ai’s compliance systems and enhance the accuracy or robustness of one of our core modules.Domain Expertise: Develop familiarity with the underlying regulations with which Norm works.What Success Looks Like - 60 DaysNorm Ai Integration: Successfully optimize, implement, and deploy significant features that improve the accuracy and coverage of our automation platform.AI Engineering: Effectively lead large-scale improvements to our AI system, including runtime optimizations and accuracy improvements.Domain Expertise: Leverage regulatory expertise to effectively collaborate with the legal engineers and improve new and existing LLM workflows$200,000 - $250,000 a yearThe range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with the maximum legally permitted employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.We embrace a flexible hybrid model, typically in-office 3–4 days per week. If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.