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📐 About this role We are seeking a talented software engineer who deeply proficient with python to join our dynamic and growing team at Writer. As a key member of our engineering team, you will play a crucial role in building the genAI software. Your primary focus will be on developing a state-of-the-art platform that harnesses generative AI technologies and you will deliver seamless and scalable solutions. You will work closely with cross-functional teams to design, implement, and maintain features that enhance the user experience, drive product growth, establish best practices, and integrate cutting-edge AI capabilities.🦸🏻‍♀️ Your responsibilitiesDesign and develop robust and scalable generative AI services using Python and open source frameworks such as Writer Agent Builder, LangChain, and n8n.Implement responsive and user-friendly frontend interfaces, leveraging technologies like React, TypeScript, and modern web frameworks.Work with cloud platforms such as AWS, GCP, or Azure to deploy and scale applications.Develop and integrate high-performance, low-latency APIs for AI-driven features.Collaborate with AI researchers to implement generative models in production.Ensure code quality through testing, peer reviews, and continuous integration.Participate in architectural design discussions and promote engineering best practices.Continuously improve the application’s performance, scalability, and maintainability.⭐️ Is This You?5+ years of experience in software engineering at expert level with Python.Experience building with generative AI applications in production environments.Expertise with microservices architecture and RESTful APIs.Solid understanding of database technologies such as PostgreSQL and vector databases as Elastic, Pinecone, Weaviate, or similar.Familiarity with cloud platforms (AWS, GCP, etc.) and containerized environments (Docker, Kubernetes).You are committed to writing clean, maintainable, and scalable code, following best practices in software development.You enjoy solving complex problems and continuously improving the performance and scalability of systems.You thrive in collaborative environments, working closely with cross-functional teams to build impactful features.Proven ability to help teams adopt technical best practices.✨Bonus: Experience with frontend technologies such as React and TypeScript.If you have built devtools, AI agents, or contributed to open source, please share them! *Note: 5 years experience is minimum experience, but we are open to seniority (Senior, Staff, Senior Staff, etc).🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.Why joinWorld class investors: We're backed by Keith Rabois from Khosla Ventures alongside Nat Friedman, Daniel Gross, Aaron Levie, Adam D'angelo, Amjad Masad, Jack Altman, Jeff Dean, Larry Summers, Noam Brown and many leaders from the ML and fintech community. Check out our announcement for an expansive listExtremely fast growth: We’ve partnered with some of the largest accounting firms in the world, with revenue 10x-ing over the last 5 monthsBe part of building a company: We’re scaling the team fast and the business faster, meaning there will always be more responsibility than we have people. No better place to get a ton of responsibility and ownership on day 1In person & interdisciplinary: We operate on the frontier of what’s technically possible. That is why being in-person is a must. We’re bringing together the brightest minds from the top engineering, ML, and accounting teams to work together in our NYC office and build production quality agentic systemsHigh risk: We believe the world is about to change in profound ways. We are building Basis to be on the cutting-edge of that change for a decade to come, and we have an appetite for the risk that comes with that. The journey has just begunCompensation: We aim to pay competitively for cash compensation and well above market for equity compensation because the whole team is all-in, and we want you to be too📍 Location: NYC, Flatiron office. In-person team.About the roleModern AI lets software reason in real time. That overturns decades of UX assumptions. A chatbot bolted onto old workflows won’t cut it; we need interfaces where humans and agents co-create work, hand tasks back and forth, and build trust in real time.You will lead Basis into that design unknown: design both the screens accountants see and the invisible UI “toolbox” agents draw from when they assemble those screens. Imagine Basis 18 months out, then ship toward it one prototype at a time.What you'll doBuildDesign and redesign user-agent interactions across multiple surfaces, from first sketch to polished releaseInvent agent-ready UI primitives that agents can assemble, edit, and explain in real timePartner closely with product design on working agents seamlessly into new and existing productsUnderstand our many accounting usersBuilding really good systems here start from deep user empathy. You will spend a portion of your time actually doing accounting work in Basis and becoming a userBe a visionaryPair with founders to sketch Basis 2027, then distill it into quarterly betsLearn at warp speedImmerse in what makes accounting awesome, emergent abilities of LLMs, and various UX for generally-intelligent software, then turn that insight into product decisionsWhat we're looking forExperience: 4–8 years designing complex SaaS or AI tooling, with at least one 0→1 launch (extraordinary talent with fewer years considered).First-principles reasoner: You break problems to fundamentals and rebuild without legacy bias.Agent-native builder: You already prototype with LLMs) and can explain why they change UX. Use AI a lot: You should be using AI for your own work a ton. To learn, brainstorm, write, research etc. In-person NYC: You want the energy of five days a week on whiteboards with engineers, accountants, and founders.Learning velocity: New domains (hello, accounting!) and new tech click for you in weeks, not months.Whiteboard-to-Figma range: Comfortable sketching flows live with engineers, then polishing interactions on your own.Autonomy & ownership: Happy to make decisions without a committee and own a problem space end-to-end.All-in mindset: High-intensity culture, high-upside equity, and a wide-open canvas sound perfect.Bonus pointsAccounting: Practical knowledge of accounting principles.Product ownership: Experience owning a product end-to-end

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Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strongly, and excited about building superhuman AI agents that take actions on the web.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Build a superhuman generalist web-agentScale infra, data, algorithms for large-scale distributed async reinforcement learning with multimodal LLMs acting in web environmentsWork closely with product engineers to translate cutting-edge AI capabilities into elegant and reliable product experiences.What we’re looking for:Experience with large-scale RL, ideally for post-training multimodal LLMsExperience building distributed systems for RL (balancing trainer, environment, actor workloads)Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.

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📐 About this role We are seeking a talented software engineer who deeply proficient with python to join our dynamic and growing team at Writer. As a key member of our engineering team, you will play a crucial role in building the genAI software. Your primary focus will be on developing a state-of-the-art platform that harnesses generative AI technologies and you will deliver seamless and scalable solutions. You will work closely with cross-functional teams to design, implement, and maintain features that enhance the user experience, drive product growth, establish best practices, and integrate cutting-edge AI capabilities.🦸🏻‍♀️ Your responsibilitiesDesign and develop robust and scalable generative AI services using Python and open source frameworks such as Writer Agent Builder, LangChain, and n8n.Implement responsive and user-friendly frontend interfaces, leveraging technologies like React, TypeScript, and modern web frameworks.Work with cloud platforms such as AWS, GCP, or Azure to deploy and scale applications.Develop and integrate high-performance, low-latency APIs for AI-driven features.Collaborate with AI researchers to implement generative models in production.Ensure code quality through testing, peer reviews, and continuous integration.Participate in architectural design discussions and promote engineering best practices.Continuously improve the application’s performance, scalability, and maintainability.⭐️ Is This You?5+ years of experience in software engineering at expert level with Python.Experience building with generative AI applications in production environments.Expertise with microservices architecture and RESTful APIs.Solid understanding of database technologies such as PostgreSQL and vector databases as Elastic, Pinecone, Weaviate, or similar.Familiarity with cloud platforms (AWS, GCP, etc.) and containerized environments (Docker, Kubernetes).You are committed to writing clean, maintainable, and scalable code, following best practices in software development.You enjoy solving complex problems and continuously improving the performance and scalability of systems.You thrive in collaborative environments, working closely with cross-functional teams to build impactful features.Proven ability to help teams adopt technical best practices.✨Bonus: Experience with frontend technologies such as React and TypeScript.If you have built devtools, AI agents, or contributed to open source, please share them! *Note: 5 years experience is minimum experience, but we are open to seniority (Senior, Staff, Senior Staff, etc).

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tl;dr: We're hiring a Product Designer to turn complex, week-long consulting projects into elegant, simple experiences powered by AI. If you love rethinking products from the ground up, turning complexity into beauty, and obsessing over every detail, we should talk.BackgroundEvery company wants to be customer-obsessed, but traditional research methods are slow, manual, and expensive. Listen Labs automates the entire research workflow using AI: finding participants, conducting interviews, analyzing responses, and creating deliverables -- in hours instead of weeks. We partner with companies like Google, Microsoft, Canva, and Anthropic and have raised $27M from Sequoia, Conviction, and Pear.Design and UX are core to our product’s success. We're using AI to simplify highly complex manual processes, and need to invent entirely new UX patterns.The Role As our Product Designer, you will:Go deep into the details of the product and decide how they will be implemented.Collaborate closely with our world-class engineering team to find new solutions.Simplify complex products into intuitive, elegant experiences with AI.About YouExceptional tasteDeeply product-minded, driven by customer needsObsessive attention to detailCreative thinker

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About the roleAt Artisan, we've raised $XXm to create AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of SaaS tools in every vertical. We're starting with outbound sales and our AI BDR, Ava. We'll be launching 3 new Artisans this year, and whoever fills this role will play a pivotal role in leading the shift from traditional SaaS to autonomous agents.Key responsibilitiesYou tell us.QualificationsAre excited about Artisan’s mission to reshape the future of work.Excel in fast-paced environments and are eager to work hard to achieve ambitious goals.You have a 'figure-it-out' mindset and take full ownership of your work.

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About the role💥 Your impactOnyx is a popular open source project with hundreds of thousands of users. The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future.💡 About the roleOnyx is the knowledge layer on top of LLMs. Help us improve our agent and knowledge retrieval capabilities to push the frontier on unsolved problems like multi-hop QA, needle in haystack, aggregation type RAG, etc. This is an in-person role based in San Francisco, CA.You’ll be:Evaluating and implementing LLM based knowledge graphs, advanced RAG approaches (StructRAG, etc.), LLM agents, advances in NLP, multi-modal transformers, advanced information retrieval algorithmsWorking on users’ experience with the platform through features like learn from feedback, search personalization, SME suggestion, etc.Build a semantic and programmatically useful understanding of the organization's priorities, projects, and people as additional signals to the answering capabilities of OnyxOwn the approach from inception to validation to production codeCollaborate with Founders and the Head of AI to shape and influence the direction of the product and contribute to the AI/ML engineering strategy🚀 You’ll be successful if you…Have 3+ years of AI/ML engineering experience building real-world applicationshave in-depth experience with PyTorch/Tensorflow, NLP models, and standard ML algorithmsAre up date with new advances such as open source/proprietary LLMs, RAG and agent-frameworksStrong software engineering background and capable of building backend features with web frameworks, ORMs and relational DBsExcellent communication skills and ability to collaborate with full stack roles⭐ Bonus pointsFamiliar with the full stack Typescript/React/NextJS, Python, PostgresInterested in writing technical blogs to establish Onyx is leader in the spaceAbout the interviewNon-technical Phone Screen (30 mins)ML Interview (45 mins)Practical Coding Interview (30 mins)Work Trial (3 days in person, fully covered + compensated)About OnyxOnyx is the open source GenAI platform connected to your company's docs, apps, and people. We ingest and sync from all sources of information (Google Drive, Slack, GitHub, Confluence, Salesforce, etc.) to provide a centralized place for users to ask about anything. Imagine your most knowledgeable co-workers, all-rolled into one, and available 24/7!We believe that every modern team will be adopting knowledge enhanced GenAI within the next 5 years and it is our goal to bring this technology to all the teams of the world.We raised a $10M seed coming out of YCombinator, backed by Khosla Ventures (early/seed backers of OpenAI, Doordash, GitLab, etc.) and First Round Capital (Notion, Square, Roblox, etc.). Our customers include of the best teams in the world like Netflix, Ramp, Applied Intuition and dozens of others. We also have incredible open source users like Roku, Zendesk, L3Harris and more.

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Cluely is looking to hire the best software engineers in the world to help us create the ultimate experience layer for AI.Our company mission is AI maximalism: everywhere AI can be used, it should be used. Some will view it as cheating, but you will be contributing to a world where humans never have to think alone again.If you’re interested in pioneering the cutting edge of human-computer interaction at the most interesting company in the world, please apply.Requirements/PreferencesExperience with Electron/Typescript/React OR building native Mac apps in Swift.Experience with Docker/Kubernetes/DevOps strongly preferred.Must be willing to WORK HARDWorking full-time in-person in the Mission District, SFNothing is a requirement, if you’re a dog, you’re a dog. Convince us you deserve a spot.

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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.The RoleFirsthand is looking for an outstanding Director of Product Management who will be responsible for inventing, designing, and implementing novel solutions for the AI landscape within the Firsthand platform.ResponsibilitiesConceptualize and design new features within the platform, using a data-informed approach and establishing clear metrics for successDefine product roadmap, prioritizing initiatives and driving product development from concept to launchNavigate through ambiguity and change to collaboratively drive alignment with cross-functional teammatesWork with enterprise customers and internal stakeholders to understand their needs and incorporate those insights into product decisionsCommunicate product vision, strategy, and roadmap to key stakeholders, including senior leadership, to drive alignment and decision-makingStay informed of industry trends, emerging technologies, and best practices to drive continuous improvement and innovationQualificationsBS or MS in computer science, related scientific or technical field, or equivalent professional experience10+ years of experience in product management, preferably with 4+ years of experience in the marketing/advertising industryProblem-solver with the ability to create simple and intuitive solutions from complex requirementsPassion for learning and invention, as well as for efficient processes and scalable executionExperience with the product development cycle and leading new product go-to-marketsExcellent communicator and collaborator, with the ability to effectively share complex technical concepts with both technical and non-technical stakeholdersHow to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.About the RoleAs a Software Engineer working on Product, you will design, build, improve user facing applications and systems that deliver an exceptional experience. What you might work onLead large application development projects, including planning, designing and implementing across the stack.Collaborate and contribute on the core product direction that leverages system improvements and deliver ever higher customer valueMaintain and enhance overall Luminai tooling, working on both frontend and backend componentsChampion best practices in software development, including code reviews, testing, and maintainability, to ensure high-quality and resilient software.Contribute to the design and implementation of robust API, authentication, and middleware solutions, enhancing the scalability and security of our platform.Things we're looking forProven track record of shipping high-quality code in challenging projectsSignificant experience working with JavaScript/TypeScript, React and PythonYou sweat the important details and are passionate about maintainable, scalable frontend conceptsExperience across the entire stack, from backend to frontend (and if you have a preference, we’d love to consider it!)

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Operations @ Listentl;dr: We're hiring a Generalist/BizOps Lead to work directly with our CEO/co-founder, scaling Listen from 10 to 100 people and building strategic functions across marketing, product, and customer success. This role is perfect for an analytical generalist who thrives on autonomy, cares about details, and is committed to excellence.BackgroundEvery company wants to be customer-obsessed, but traditional market research is slow, manual, and often outsourced to mediocre agencies. Companies like Microsoft spend hundreds of millions annually on these services. Listen Labs automates this entire process using AI, making customer research faster (24 hours instead of 8-12 weeks), cheaper, and even higher quality. Ask Listen a question like "How do finance directors handle AI budgets?" and our AI agent will:Find the right people to talk toAsk them the right questionsDeliver a report with slides and video highlight reelsSome vitals about Listen:Hypergrowth: Grown from 0 to multi-million dollar revenue in 6 months.We work with the best customers: Google, Microsoft, Canva, Nestle, Skims, Anthropic, and many more.Backed by the best: Sequoia, Conviction, AI Grant, and Pear VC. Our Sequoia partner, Bryan Schreier, was Qualtrics' first investor ($12B company in a similar space).Our founders are serial entrepreneurs (previous AI startup exit): The team has backgrounds from Jane Street, Tesla Autopilot, IOI, ICPC, Harvard, Carnegie-Mellon, UC Berkeley. Our CTO reported directly to Elon Musk at Tesla.Our market is gigantic: $30B+ spent on services through legacy market research firms, and we see a big green field opportunity with smaller companies.The product is highly viral: Customers can share interviews to tens of thousands of users. That means free pipeline and a strong PLG motion. We receive inbound from Fortune 500s every day.The RoleYou'll work directly with the CEO to shape strategy, improve operations, and build the foundation for future hires across marketing, product, and customer success. Early on, you'll do the work yourself, writing landing pages, setting up dashboards, talking to users, then bring on and train specialists as we scale.This is a fast-paced, high-ownership role with a clear path to leadership.About You:High bar for quality and attention to detailExcellent at execution and owning outcomesAnalytical and intellectually curiousThrive in ambiguity and move fast

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HomeVisionLocation: ArgentinaStack: Golang, React, Python Fullstack EngineerAt HomeVision we seek to build products and tools that help the home appraisals industry work more efficiently to value an asset class that is collectively worth $40 trillion. As such our team is now growing and we are needing to hire 2 experienced Backend Engineers.What you’ll do:You’ll work on a Golang-React stack and build workflow automation products for our core user base of home appraisal professionals.HomeVision engineers work on entire products— everything from releasing a valuation model to building frontend data visualizations that help communicate results in a human, intuitive way to our users and customersWhat you’ll bring:Strong experience in backend development, this is where the majority of our work isProven working experience in Unix/Linux environments and on distributed systemsAbility to learn and master new programming languages and technologies.Bonus points:Experience in one or more of the following technologies: Go, Python, Elasticsearch, and Docker.Experience in scientific and numerical computing (e.g., numpy, scipy, scikit-learn, tensorflow, pytorch, jupyter) considered a plus.The Interview Process:Silver.dev Recruiter ScreeningHiring Manager ScreenTake-home ChallengeTake-home ReviewLive-Coding Interview (if required by the Team)