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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 The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this).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 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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Member of technical staff @ Listen Labstl;dr: We are seeing a strong market pull and have an aggressive 6-month product roadmap, so we are expanding our engineering team. We're looking for someone highly technical (our current team includes 3 IOI medalists) who wants to build a product that is changing how companies make decisions. If you're excited about tackling hard problems end-to-end, we should talk.BackgroundLarge language models are becoming powerful reasoning engines, but they're missing a crucial element to be truly useful for businesses: up-to-date information about your company.Listen has created a product to quickly build this context. You can ask our AI any important business question, and it will:Find the right people to talk toAsk them the right questionsDeliver a report with video highlightsFor example, you could ask:"How do finance directors handle AI budgets?""What do Ozempic users think about our new beverage product?"By collecting this information, we're giving large language models current context about your business. This turns them into something like a strategic thinking partner for your company.The market research industry in the United States is fragmented, with about 5,000 consultancies and a total spend of $30 billion. We believe LLMs can automate most of this work. Our customers already include major brands like Google, Microsoft, Nestlé, Procter & Gamble, and Sony (only with founder-led sales). By helping these companies better understand their customers, we've already generated millions of dollars in ROI for them through improved products, enhanced advertising campaigns, and better decision-making.Some vitals about Listen (achieved without anyone on sales):Hypergrowth: we’re growing like crazy, both in mid-market and also signing large enterprise contracts with firms like Google, Microsoft, Nestlé and P&G.Our win rate on commercial deals is 83%. We have never lost a deal to a competitor. (We occasionally lose deals because a customer does nothing)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: we have proven the ability to sign big six figure deals (biggest one has >$200k annual value) with household names like Google and Microsoft, but we also win the hottest mid-market firms like Anthropic and Canva.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.Technical ChallengesMcKinsey On Demand: Building a research agentThe most interesting information is not publicly accessible on the web but only lives in people's minds. We are building an agent that, given a question, finds the right people to talk to, asks the right questions, and comes back with a report and actionable recommendations. That's what consultants charge millions for. The ceiling is incredibly high, and we are pushing the technical boundaries to help companies from investment firms to tech companies make the best decisions.Realtime Video InterviewsThe next version of our AI interviewer will have emotional understanding of video and voice to read between the lines. The goal is to make our interviewer more nuanced and effective than the most senior user researchers. This involves computer vision, speech analysis, and real-time decision making.Customer Preference Model & Synthetic PersonasWe're bringing Jeff Bezos' vision of the customer being part of every decision to life. We're building the deepest understanding of customers, which will allow us to extrapolate to new questions via synthetic personas. This involves complex modeling of human behavior, preferences, and decision-making processes.TeamThe engineering team includes:Three IOI medallistsSenior Staff engineerPrevious companies are from Jane Street, Tesla Autopilot, AffirmWe are growing aggressively and looking to double in the next monthsInvestorsWe're backed by Sequoia Capital, Conviction, AI Grant among others. About youYou love working on products end-to-end without detailed directionYou want to work in Next.js, TypeScript, and large language modelsYou are a collaborative builder and like to build systems with other engineers in mind.You are an excellent written and verbal communicator.You know when to seek assistance, and it's typically to discuss tradeoffs.You don't scoff at unglamorous engineering tasks, yaks don't shave themselves.Highly technicalInterested in building products end-to-end and owning the user experienceExcited about large language models

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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 roleAs an early hire, you'll play a pivotal role in shaping the core product. Help us become the biggest “GenAI for work” application in the world. This is an in-person role based in San Francisco, CA.You’ll be:Building a consumer grade UI experience for the GenAI Chat, Enterprise Search, Agents, and Admin featuresExtending the backend functionalities and APIs (see below)Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation featuresImplementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase the range of questions the system can answer (AI / deep learning experience not required)Own the entire development cycle of new features, from conception to productionCollaborate with the founders and team to shape and influence the direction of the product and contribute to the engineering strategy🚀 You’ll be successful if you…Have 1-5 years (or more) of software engineering experience building real-world applicationsKnow Typescript/React/NextJS, Python, Relational DBs (Postgres)Enjoy working in a fast moving startup with low amounts of processHave excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)⭐ Bonus pointsExperience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deploymentsExperience (or even just interest) in AI (NLP, Deep Learning, GenAI) and information retrievalPrevious founder or early engineer at seed/series-A startupAbout the interviewNon-technical Phone Screen (30 mins)Technical Design Interview (30 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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Are you a creative and strategic thinker with a passion for technology? We're looking for a talented Product Marketing Manager to join our dynamic team. Play a critical role in driving the success of our GPU cloud products by developing and executing innovative marketing strategies that resonate with our target audience.ObjectivesCollaborate closely with the marketing team to craft compelling messaging and strategies, working together to execute impactful campaigns.Partner with our engineering and MLOps teams to uncover and highlight unique value propositions that resonate with our core customers.Contribute to defining and refining TensorWave’s Ideal Customer Profile (ICP), ensuring our products meet the specific needs of the market.ResponsibilitiesStrategy Development: Define and implement go-to-market strategies for TensorWave's GPU cloud solutions.Product Messaging: Develop compelling product messaging that clearly articulates the unique benefits of our AMD-powered offerings.Content Creation: Produce high-quality marketing materials, including sales collateral, presentations, and case studies.Market Analysis: Conduct in-depth market research to understand industry trends and identify opportunities for growth.Sales Support: Equip the sales team with the tools and knowledge needed to effectively sell our products.Campaign Execution: Lead and manage marketing campaigns across multiple channels, ensuring alignment with business goals.Customer Engagement: Foster relationships with key customers to gather insights and build case studies.Performance Tracking: Analyze the success of marketing initiatives and optimize strategies based on data-driven insights.Cross-Functional Collaboration: Work with engineering and MLOps teams to discover and communicate product features and value propositions.ICP Definition: Help define and refine TensorWave's Ideal Customer Profile (ICP) to better align our offerings with market needs.Requirements:Location: Must reside in, or be open to relocating to Las Vegas, NV.Experience: You have at least 5 years of experience in product marketing, preferably in a technology-focused environment.Technical Acumen: You understand GPU technology and cloud computing, with a preference for experience with GPUs. A technical background in related fields is a big plus.Communication Skills: Your writing and speaking skills are top-notch, with the ability to simplify complex ideas.Analytical Thinking: You’re comfortable with data and use it to inform your decisions.Project Management: You’re organized and can juggle multiple projects at once, always hitting your deadlines.Collaboration: You’re a team player who thrives in cross-functional environments.Education: You hold a bachelor’s degree in Marketing, Business, Engineering or a related field. Advanced degrees or certifications are a bonus.We’re looking for resilient, adaptable people to join our team—folks who enjoy collaborating and tackling tough challenges. We’re all about offering real opportunities for growth, letting you dive into complex problems and make a meaningful impact through creative solutions. If you're a driven contributor, we encourage you to explore opportunities to make an impact at Tensorwave. Join us as we redefine the possibilities of intelligent computing. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:Stock Options100% paid Medical, Dental, and Vision insurance Life and Voluntary Supplemental InsuranceShort Term Disability InsuranceFlexible Spending Account401(k)Flexible PTOPaid HolidaysParental LeaveMental Health Benefits through Spring Health

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Growth @ Listen Labstl;dr: We're hiring a Growth Marketer. You will work with our CEO/co-founder to scale Listen from $Xm ARR to $XXm ARR+. Ideally, you are a creative, data-driven, and energetic marketer, excited to join a fast-growing, early-stage startup in a career-defining role. Min. 2+ YoE in B2B SaaS growth marketing, ideally with experience marketing to teams in product, design, or marketing functions.Background Large language models are becoming powerful reasoning engines, but they're missing a crucial element to be truly useful for businesses: up-to-date information about your company. Listen has created a product to quickly build this context. You can ask our AI any important business question, and it will:Find the right people to talk toAsk them the right questionsDeliver a report with video highlights For example, you could ask:"How do finance directors handle AI budgets?""What do Ozempic users think about our new beverage product?" By collecting this information, we're giving large language models current context about your business. This turns them into something like a strategic thinking partner for your company.Some vitals about Listen (achieved with minimal marketing investment):Hypergrowth: We're growing like crazy, both in mid-market and also signing large enterprise contracts with firms like Google, Microsoft, Nestlé and P&G.Our win rate on commercial deals is 83%. We have never lost a deal to a competitor. (We occasionally lose deals because a customer does nothing)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: We have proven the ability to sign big six figure deals (biggest one has >$200k annual value) with household names like Google and Microsoft, but we also win the hottest mid-market firms like Anthropic and Canva.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.Scope of roleAcquisition strategy: Design and execute multi-channel campaigns to drive qualified leads through content marketing, SEO, SEM, and social media.Content creation + optimization: Develop compelling narratives and content that demonstrates Listen's value proposition across various formats (blog posts, case studies, webinars, social).Growth experimentation: Implement rapid testing frameworks to identify scalable acquisition channels. Analyze campaign performance and optimize for maximum ROI.Product-led growth: Work with product teams to optimize our viral loops, in-product engagement, and user conversion paths.Marketing operations: Build and maintain our marketing tech stack, implement attribution models, and create dashboards to track key metrics.Cross-team collaboration: Partner with Sales, Customer Success, Product, and Engineering to align messaging and ensure a cohesive customer journey.This is a unique role with potential to expand into a Marketing leadership position quickly as we grow, reporting directly into the CEO.CompensationCompetitive compensation with base salary + performance bonuses, plus meaningful equity.Investors We're backed by Sequoia Capital, Conviction, AI Grant and Pear VC.There's been $30B+ of market cap created in markets tangential to us (Medalia, Alphasights, GLG, Alphasense, Ipsos, Kantar). Our partner at Sequoia, Bryan Schreier, was the first investor in Qualtrics – a $12B company in a similar space as us.

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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.About the RoleWe are seeking Solutions Consultants to join our fast-growing team.As part of our team, you’ll be at the forefront of transforming how our clients engage their users through AI. You’ll partner closely with enterprise clients—advertisers and publishers—to design, implement, and optimize intelligent AI agent experiences. This is a cross-functional role that blends business acumen, technical fluency, top notch client service, and creativity. You'll help bridge client goals with Firsthand's evolving AI platform and play a key role in scaling new use cases, surfacing insights, and defining best practices.What You'll DoClient Integration & EnablementGuide new clients through onboarding, including solution design and tech implementation.Collaborate with clients to understand goals and align our solutions to their business needs.Manage the end-to-end build of Firsthand agents—from content ingestion to front-end deployment.AI Experimentation & Strategic ConsultingDesign and run AI experiments that demonstrate agent effectiveness and drive client value.Analyze engagement data and user interactions to generate actionable insights.Provide strategic recommendations to optimize agent design, content inputs, and user flows.Analyze performance of campaigns and generate compelling data analyses and case studiesInternal Collaboration & Product FeedbackCollaborate with Engineering and Product to troubleshoot issues and test improvements.Act as a voice of the customer to influence our product roadmap on behalf of clients.Create and maintain documentation, playbooks, and enablement materials to support team growth.PreSales & Sales SupportPartner with the commercial teams to craft compelling demos and technical narratives.Represent Firsthand in technical conversations during the sales cycle.Who You AreYou’ve worked for 5+ years in ad tech, martech, or a SaaS startup and love the pace and ambiguity of a growing company.You’re excited about AI and its applications in marketing, media, and user experience.You can toggle between technical details and strategic narratives with ease.You enjoy working with both internal teams and external clients, and can build trust quickly.You’re comfortable making slide decks, manipulating spreadsheets, working with data dashboards, and gleaning insights from complex datasetsBonus points for experience with SQL and troubleshooting network trafficWhy Join UsYou’ll join a small, agile team working on some of the most exciting use cases in AI and marketing.You’ll help shape how leading brands and publishers deploy next-gen AI experiences.You’ll work with a product team that values experimentation, customer feedback, and fast iteration.A rare opportunity to help introduce and guide deep and fundamental change to a fast-moving and innovative industry.You’ll play an integral role in shaping our company and culture.You’ll join an open, inclusive and professional culture and work environment.How 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.