The AI job market moves fast. We keep up so you don't have to.

true

false

true

true

false

About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).What You’ll DoLead the Design and Implementation of Frontend Systems Take full ownership of the user experience across Resolve AI’s product.. Build delightful, intuitive, and high-performance interfaces using TypeScript, React, and modern frontend tooling.Drive Product Vision Translate complex systems and AI capabilities into user-facing features that enable engineers to interact naturally with our AI agent. Deliver interfaces that make powerful workflows feel simple.Ensure Performance and Maintainability Design scalable frontend architecture that is maintainable, performant, and responsive—especially for data-intensive visualizations and real-time interfaces.Build With Product and Users in Mind Collaborate closely with backend engineers, designers, and PMs. Lead discussions on product direction and advocate for the end user. Turn real-world pain points into elegant frontend solutions.Iterate Quickly and Responsibly Prototype new features rapidly and incorporate user feedback in tight development loops. Contribute to UI quality through robust testing, accessibility, and component reuse.What We’re Looking ForMinimum of 5 years experience doing software developmentAdvanced proficiency in TypeScript and React, with a track record of building scalable, maintainable, and performant applicationsStrong UX instincts and ability to simplify complex workflows into intuitive interfaces—especially for developer tools, observability systems, or data-heavy applicationsExperience designing and building reusable component libraries or design systemsFluency in collaborating with backend teams on APIs and performance optimization across the stackComfort operating in a fast-moving startup environment, balancing polish and pragmatismBonus: interest in AI or developer agents, and curiosity around the impact of LLMs in the product experienceWhy Join Resolve AI?Make a Real Impact: Shape the frontend of a product redefining how engineers interact with production systems and AI.Work at the Cutting Edge: Collaborate on product experiences that blend traditional UI with AI agents in novel ways.Own Your Work: Take end-to-end responsibility in a tight-knit, high-trust team that values initiative.Accelerate Your Career: Join world-class founders and early builders to ship product that matters—and build something you’ll be proud of.Competitive Benefits: Competitive Pay Packages with full benefits including:Equity with Early Exercise & QSBS EligibilityComprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

true

UI/UX DesignerThe defense market is surging, but the data that drives it hasn’t kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it’s a company navigating GTM or a program manager developing capabilities, we’re providing all sides with the intelligence they need to execute effectively.We’re growing fast and backed by top funds and DoD/national security veterans.We believe that public sector mission sets matter above anything else. If you feel the same way, we’d love for you to join us.The RoleWe’re looking for a hands-on UI/UX Designer to be the foundation of our design efforts and own the end-to-end user experience across our products. As our first design hire, you’ll define our user experience strategy, lead design thinking, and execute all design and product initiatives as we bring cutting-edge technology to the defense sector. Working closely with product, engineering, and leadership, you’ll have the opportunity to shape both our user interface and our core identity in a fast-paced, mission-driven startup environment.You’ll set the vision, move quickly, and iterate rapidly—ensuring our products are not only functional, but intuitive, engaging, and beautifully crafted. Depending on experience and performance, there is significant opportunity for you to grow into a leadership role with broader influence.Responsibilities:Define and lead the UX and UI strategy for our organization from the ground up, setting design vision and best practices.Own end-to-end product design: from discovery and user research, to rapid prototyping, wireframes, visual design, and developer hand-off.Collaborate closely with engineering, product, and business stakeholders to translate user needs and business goals into seamless, intuitive experiences.Move quickly—generate and iterate on multiple design concepts to solve complex problems and inform product direction.Create high-fidelity, production-ready UI and design assets for web-based and/or mobile applications.Establish and contribute to a scalable design system and patterns library, ensuring consistency across our products.Develop user journeys, interaction models, info architecture, and usability testing processes—which you’ll own and execute.Champion a user-centered, data-informed design philosophy, leveraging user research and feedback to continually improve the product experience.Set an example of design leadership and proactively identify areas for innovation in usability and aesthetics.Stay current with the latest design trends, tools, and best practices, pushing boundaries to create delightful, meaningful user experiences.Communicate your design decisions effectively, and inspire confidence and excitement about design at all levels of the organization.Qualifications:3+ years’ experience in UI/UX design, interaction design, or product design roles (startup or high-growth environment highly preferred).Strong, diverse design portfolio demonstrating your process and impact across shipped digital products.Proven experience taking products from 0→1, including concepting, prototyping, designing, and iterating in fast-paced environments.Expertise with modern design and prototyping tools (e.g., Figma, Adobe products).Demonstrated ability to generate and communicate multiple compelling design solutions to complex problems.Excellent visual and written communication skills—you can clearly articulate and present your work to both technical and non-technical audiences.Comfortable working autonomously, managing your own priorities, and proactively identifying areas where design can make the biggest impact.Experience designing for enterprise, B2B SaaS, or defense/government markets a strong plus.Familiarity with accessibility standards, responsive design, and usability best practices.Passion for our mission: building better technology for defense, and willingness to immerse yourself in our users’ needs and challenges.Our Working Style – Why We Might Work Well TogetherYou care about government & are mission-oriented - Our work is important, and is critical to improving a system that impacts us all.Perseverance and endurance - Hard problems are worth solving, and solving them can take a long time. There is no such thing as exhausting all options, it’s just time to look for new ones.Empowerment > micro-management – We’re building a culture of high-performers. Our job is to equip them with what they need and eliminate roadblocks for them to succeed. We trust their judgment, skills, and experience from there.We’re collaborative and communicate well - Constructive dialogue that takes all viewpoints into account is the only way we get to the right decision. Respect, trust, and complete transparency with each other is critical - keep it all in the openYou’re really good at what you do… but it speaks for itself – High output, no ego. Being humble is extremely important to usYou don’t mind change and are comfortable with uncertainty - We’re deliberate about setting goals, but we’re comfortable changing course and dealing with discomfort to get there. We’re still figuring things out, and that demands being flexible and iterative.Work doesn’t feel like “work” to you – We’re passionate about what we’re going after, and we devote more time to it than a typical 9-5. That often means putting in extra time at night and occasionally on weekends. However, maintaining your own personal balance comes above all else, and you should establish that however you need to - flexible schedule, taking advantage of time off, or anything else you need.You like to move fast and have a bias towards action - Our roadmap is directional at this stage - speed and a feeling of urgency is key to prove it out. We expect each other to proactively determine what needs to get done and go for it.Integrity is never negotiable – Transparency, honesty, and respect comes above all else.Benefits & StructureWe’re a tight-knit team headquartered in Arlington, VA. We work in the office together most days, and believe being in the same place is a competitive advantage.Flexible schedule - We all have other things going on in our lives. Doctor visits, kids’ activities, dog walks - take care of it whenever you have to. And work from home when you need to.Competitive compensation + Sizeable equity - We’re building something with massive upside potential, and you’ll have ownership in that. This is ours.Flexible vacation time - Use what you want, as long as you’re taking care of what needs to get done.Full health, dental, and vision insurance.And more…

false

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 strong, 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:Scale infra for post-training of multimodal LLMs (CPT, SFT, RL, search, reward models)Scale infra for agentic inference (throughput and latency of perception-planning-action loops)Build the foundations of a superhuman generalist web-agentWork closely with product engineers to translate cutting-edge AI capabilities into reliable product experiences.What we’re looking for:Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)Experience optimizing post-training and inference performance of multimodal LLMs (data/tensor/pipeline/context/expert parallelism, optimizing MFU, throughput, latency)Low level systems experience (Triton, CUDA)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.

true

Full Stack EngineerThe defense market is surging, but the data that drives it hasn’t kept up. Companies, government, and investors are forced to perform heavily manual processes and piece together hundreds of disparate sources to make decisions. Obviant is building a data source of truth and AI tools for defense acquisition to solve this. We fuse information from thousands of sources – structured + unstructured – to provide a cohesive picture of budget, programs, the organizations running them, and much more. Whether it’s a company navigating GTM or a program manager developing capabilities, we’re providing all sides with the intelligence they need to execute effectively. We’re growing fast and backed by top funds and DoD/national security veterans.We believe that public sector mission sets matter above anything else. If you feel the same way, we’d love for you to join us. The RoleYou'll be building the next generation of tools that are fundamentally changing how government technology works. We move fast, ship often, and solve complex problems with elegant solutions.ResponsibilitiesShape and own features from start to finish. Your perspective drives how we build, design, and implement solutions that matter.Work across the full technical spectrum – from crafting robust APIs and type systems to building intuitive frontends and component libraries.Work with users to understand their workflow and create solutions that transform how they workDesign and build data visualization tools that bring clarity to complex informationDevelop innovative AI/ML solutions in a space that has so far been uncharted by modern and cohesive technology solutionsQualifications3+ years of full stack experience, building solutions users loveA natural drive to understand users and translate their challenges into elegant solutionsTrack record of owning features end-to-end and seeing them through to successGovernment, govtech, or defense experience is welcome but not requiredPassionate about defense and the missionComfortable with the pace and impact of a fast-growing startupOur Working Style – Why We Might Work Well TogetherYou care about government & are mission-oriented - Our work is important, and is critical to improving a system that impacts us all.Perseverance and endurance - Hard problems are worth solving, and solving them can take a long time. There is no such thing as exhausting all options, it’s just time to look for new ones.Empowerment > micro-management – We’re building a culture of high-performers. Our job is to equip them with what they need and eliminate roadblocks for them to succeed. We trust their judgment, skills, and experience from there.We’re collaborative and communicate well - Constructive dialogue that takes all viewpoints into account is the only way we get to the right decision. Respect, trust, and complete transparency with each other is critical - keep it all in the openYou’re really good at what you do… but it speaks for itself – High output, no ego. Being humble is extremely important to usYou don’t mind change and are comfortable with uncertainty - We’re deliberate about setting goals, but we’re comfortable changing course and dealing with discomfort to get there. We’re still figuring things out, and that demands being flexible and iterative.Work doesn’t feel like “work” to you – We’re passionate about what we’re going after, and we devote more time to it than a typical 9-5. That often means putting in extra time at night and occasionally on weekends. However, maintaining your own personal balance comes above all else, and you should establish that however you need to - flexible schedule, taking advantage of time off, or anything else you need.You like to move fast and have a bias towards action - Our roadmap is directional at this stage - speed and a feeling of urgency is key to prove it out. We expect each other to proactively determine what needs to get done and go for it.Integrity is never negotiable – Transparency, honesty, and respect comes above all else.Benefits & StructureWe’re a tight-knit team headquartered in Arlington, VA. We work in the office together most days, and believe being in the same place is a competitive advantage.Flexible schedule - We all have other things going on in our lives. Doctor visits, kids’ activities, dog walks - take care of it whenever you have to. And work from home when you need to.Competitive compensation + Sizeable equity - We’re building something with massive upside potential, and you’ll have ownership in that. This is ours.Flexible vacation time - Use what you want, as long as you’re taking care of what needs to get done.Full health, dental, and vision insurance.And more…

false

About Resolve AIAt Resolve, we’re building Agentic AI that empowers software engineers by automating production engineering and SRE workflows. Our models deeply understand production systems — from code to databases — taking on repetitive, high-pressure tasks and handling critical incidents autonomously, so engineers can focus on building.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We raised a $35M Seed round from top-tier investors like Greylock, Unusual Ventures, Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn) and Fei Fei Li (Professor, Stanford).Joining Resolve AI at this stage of our journey is a once-in-a-lifetime opportunity. You’ve already decided that you want to work at an AI-native company that’s pushing the limits of how engineers work, and now you’re looking for the right one. At Resolve, we’ve brought together experienced (and successful) entrepreneurs, experts in understanding our customers, and leading innovators in AI and distributed systems. Now we need the right people to help us tell that story—one prospect at a time. Join Resolve as a founding go-to-market team member, helping us build and execute the playbook to drive repeatable revenue while also building a respected brand within the engineering community.What You’ll DoPartner with Account Executives to manage complex enterprise sales cycles from discovery through proof-of-concept to close, serving as the technical lead throughout the process.Lead product demos and technical evaluations, translating customer infrastructure and operational challenges into actionable solutions using Resolve AI’s platform.Build trusted relationships with customers, acting as a consultative advisor and ensuring technical success during pilots and deployments.Collaborate cross-functionally with Product and Engineering to relay customer feedback, influence roadmap decisions, and improve technical messaging.Develop and maintain reusable demo environments, playbooks, and sales engineering tools to support a repeatable, scalable and high velocity GTM motion.What We’re Looking For5+ years in Sales Engineering, Solutions Engineering, or a similar customer-facing technical role, ideally in enterprise SaaS, DevOps, or AI.Proven success leading consultative sales cycles with enterprise customers and multiple stakeholders.Experienced with cloud platforms (especially AWS) and Kubernetes, with a strong understanding of DevOps practices in cloud-native environments.Skilled in infrastructure automation and applying security and compliance best practices in cloud-native environments.Strong communicator with the ability to clearly present technical concepts to both technical teams and executive leadership.Adaptable, self-starter mindset with a proven ability to thrive in fast-paced, early-stage environments.Why Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Equity with Early Exercise & QSBS EligibilityComprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

false

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 (100% in-person)About the roleBasis is in rapid growth-mode and looking to 3x our headcount within 12 months!In this role, you'll be partnering with our Head of Talent in sourcing & managing the candidate pipeline for positions across our companyIf the below describes you, we'd love to hear from you:-2-6 years of experience in recruiting, within a seed or series A company or within a recruiting agency that focuses on tech startups in NYC-Superb verbal & writing abilities-Passionate about both people & AI-Deeply curious about everything-Quick learnerWhat we look forStrong logical reasoner: Able to break complex concepts down to their fundamental elements and reason from thereFacility with language: Clear and precise written communicatorInterdisciplinary: Willing and interested to jump across multiple disciplinesCompany-builder: Excited to lay the groundwork, technically and culturally, as we rapidly scalePassionate: Genuinely excited about our tech and its impact on accounting, finance, and economyCurious: Loves to play with new ideas/techOffice lover: Prefers shouting across a room over a slack message, seeking full-time in-office in NYCAll-in: This is not a 9-5, we have a massive opportunity ahead of us and are looking to further accelerate our velocity. We are optimizing for the best folks and happy to compensate generouslyIn accordance with New York State regulations, the salary range for this position is $80,000–$170,000. This range represents our broad compensation philosophy and covers various responsibility and experience levels. Additionally, all employees are eligible to participate in our equity plan and benefits program. We are committed to meritocratic and competitive compensation.

false

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.

true

We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.Who you areYou are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling.You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators.You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale.You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics.You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.What sets you apartYou have experience in computational biology or protein design. You have worked on ML-driven projects in biology.You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.Your ResponsibilitiesBuild machine learning models that work in the physical world [~90% of your time]:Contribute to a careful curation of our training and evaluation data.Propose and build ML evaluation metrics that align with real world success and company goals.Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.Contribute to the maintenance of our compute and ML development infrastructure.In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.Quickly learn from wet lab results and feedback data to our models.Self development [~10% of your time]:Stay on top of the latest developments in ML.Gain a strong working understanding of protein and cell biology.Participate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences.ApplyWe offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

false

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.

false

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.

false

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.

false

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!)

false

true

false

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

false

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.