AI Content Engineer at LlamaIndex | San Francisco

Join our innovative team and play a pivotal role in shaping the future of AI by crafting compelling narratives in the realm of document understanding.About the RoleWe are on the lookout for a technically proficient Machine Learning Engineer who excels at producing authentic and engaging technical content efficiently. Your extensive knowledge in document AI, coupled with strong writing skills, will be essential in creating benchmarks, publishing technical analyses, and solidifying our position as the foremost authority in document understanding.This role transcends traditional Developer Relations or Marketing. You will engage in coding, develop tangible benchmarks, conduct experiments, and swiftly translate your findings into high-quality published content, significantly accelerating awareness and adoption among developers creating the next generation of document-centric applications.ResponsibilitiesDesign, construct, and sustain extensive benchmarks for document parsing and understanding.Regularly publish high-quality technical content, including blog posts, benchmark reports, technical comparisons, and tutorials.Maintain an up-to-date understanding of the document AI landscape, including new models, research papers, competitors, and techniques.Execute experiments and translate findings into publishable content rapidly.Generate technical analyses showcasing our capabilities relative to alternatives.Contribute to open-source projects, examples, notebooks, and documentation.Collaborate closely with the core ML team to highlight significant improvements and capabilities.Engage genuinely with the developer community through technical content rather than conferences or events.Required QualificationsProven experience in software engineering, with a focus on ML engineering and research being an advantage.Solid foundation in software engineering principles and production-level experience with Python.Familiarity with modern ML techniques, particularly in computer vision, natural language processing, or multimodal learning.Ability to convey complex technical topics clearly, rapidly, and authentically through writing.A strong inclination towards delivering results quickly, comfortable publishing at a blog pace rather than an academic one.Adept at reading, comprehending, and synthesizing research papers efficiently.Proactive and self-motivated, capable of identifying significant topics to write about and executing projects end-to-end.

Join us at LlamaIndex, where we are redefining the narrative around document understanding in the AI landscape.About the RoleAs a key player in our growth, you'll help build the document infrastructure layer for AI agents, from our leading document OCR technology (LlamaParse) to our comprehensive document workflow platform (LlamaAgents). We are rapidly expanding and require a proactive recruiter who will take ownership of the entire hiring process across the organization.Your primary focus will be on technical roles, particularly in AI/ML engineering, infrastructure, full-stack development, and developer tools. Additionally, your expertise will be valuable in supporting go-to-market and marketing recruitment as the company scales. We seek an individual who thrives in the dynamic environment of sourcing, screening, and securing exceptional talent, rather than someone aiming for a purely strategic or managerial position. If you excel at utilizing AI-powered recruiting tools responsibly and can swiftly convert ambiguous hiring needs into signed offers, we want to hear from you!ResponsibilitiesTake charge of the complete recruitment lifecycle, including sourcing, outreach, screening, interview coordination, offer negotiations, and closing, with a primary focus on engineering roles and secondary support for marketing and GTM positions.Develop an in-depth understanding of LlamaIndex's products, technical infrastructure, and company culture to effectively evaluate candidate fit and maintain an accurate recruitment pipeline for both technical and non-technical roles.Identify and attract exceptional candidates for specialized roles through a combination of direct outreach, AI-driven sourcing tools (such as Juicebox and LinkedIn Recruiter), and innovative channels.Utilize AI recruiting tools judiciously and responsibly, dedicating time to fine-tune filters and meticulously review outputs to ensure quality over quantity.Foster and manage relationships with external recruiting agencies, adjusting agency support as necessary based on hiring pace.Enhance and continuously improve the candidate experience from initial contact through onboarding, ensuring every interaction embodies LlamaIndex's values and brand.Collaborate with hiring managers across engineering, product, and GTM to define role specifications, align on candidate profiles, and adapt swiftly as hiring priorities evolve.Monitor pipeline metrics, identify recruitment bottlenecks, and proactively refine sourcing strategies to achieve hiring objectives.QualificationsA strong candidate will possess a proven track record in technical recruiting, particularly within the AI and technology sectors, alongside excellent communication skills and a passion for connecting top talent with innovative opportunities.

Be a part of our mission to redefine AI by leading innovations in document comprehension.About the PositionLlamaIndex is seeking an Applied AI Solutions Architect who thrives at the nexus of enterprise sales and technical implementation. This pivotal role is integrated into our revenue efforts—transforming skeptical engineering teams into advocates and guiding promising evaluations to successful contracts.You will manage the technical relationship from initial discovery through proof of concept, collaborating closely with Account Executives on real-time opportunities with leading AI innovators. Your role extends beyond simple product demonstrations; you will diagnose critical infrastructure issues, design tailored solutions, and cultivate trust with stakeholders who will depend on the architecture long after the agreement is finalized.Key ResponsibilitiesConduct in-depth technical evaluations, proofs of concept, and solution design sessions for enterprise clients across various industries and use cases.Collaborate closely with Account Executives to mitigate deal risks, identify technical challenges early, and establish credible pathways to success.Articulate complex AI and data infrastructure concepts effectively to both engineering teams and C-level executives in the same dialogue.Design and prototype solutions utilizing LlamaIndex's platform to meet customer demands concerning accuracy, latency, cost, and scalability.Act as the voice of the customer internally, providing insights to Product and Engineering that enhance our roadmap.Desired QualificationsSolid engineering background with hands-on experience in AI/ML systems, data pipelines, or enterprise software architecture.Proven track record in customer-facing technical roles, including pre-sales, solutions engineering, or technical consulting.Ability to operate in uncertain environments: you can define a problem, make informed assumptions, and progress without waiting for complete information.Strong go-to-market instincts—understanding what it takes to build technical consensus within a buying committee.Effective and confident communicator capable of translating system design trade-offs into business risks for executives.Prior experience with LlamaIndex or LlamaCloud is not mandatory; we value your thought process and problem-solving approach.

Join us in revolutionizing the AI landscape by driving advancements in document understanding.About the RoleThe backend application platform team at LlamaIndex is on the lookout for a seasoned backend engineer with over 4 years of experience. If you’re passionate about developing cutting-edge features and expanding our ingestion and AI systems, we want you! Backed by Greylock, LlamaIndex has seen remarkable growth over the past year, fueled by both open-source and enterprise interest. Our positions provide excellent opportunities for personal growth and ownership as we scale our engineering team to support our next growth phase!Responsibilities[Primary] Develop and enhance new features while scaling our backend capabilities, with a specific focus on our core APIs.Backend technology stack includes: Python, Node.js, Kubernetes, Terraform, Postgres, Temporal, and more.[Secondary] Collaborate closely with prospects and customers to create production-ready solutions.QualificationsProven experience in launching new product features from the ground up, successfully transitioning from prototype to production in a short timeframe.Experience with or enthusiasm for AI/LLM-native applications.Rapidly iterated with customers or fellow engineers to transform user feedback into actionable features, actively contributing to the product roadmap for core functionalities.Experience in deploying applications at scale.LocationWe embrace a hybrid work culture based out of our downtown San Francisco office.Why Join Us?Impactful Mission: Work on groundbreaking AI products that redefine knowledge access and utilization.Collaborative Team: Join a passionate team dedicated to pushing technological boundaries.Growth Opportunities: Be at the forefront of the AI revolution, with numerous opportunities to advance alongside our expanding organization.Additional BenefitsCompetitive base salary and equity compensation.Comprehensive medical, dental, and vision insurance for you and your family.

Join us in revolutionizing the future of AI by shaping the narrative around document understanding.About the RoleWe are seeking an innovative Full-Stack Engineer dedicated to rapidly delivering AI products. If you thrive in a dynamic environment and are ready to take on diverse challenges, this role is for you. You will be responsible for developing our SaaS platform using Next.js and Python, contributing to open-source frameworks, and collaborating closely with customers to transform visionary ideas into tangible solutions. If you have experience launching AI applications that engage real users and can swiftly transition from concept to execution, we would love to connect.ResponsibilitiesLead front-end and full-stack development for our managed applications and SaaS offerings.Front-end technologies: Next.js, shadcn, react-query, etc.Back-end technologies: Python, Node.js, Kubernetes, Docker, Terraform, cloud services, databases, etc.Develop and maintain features for our open-source frameworks using Python and TypeScript.Collaborate with clients to create proof-of-concept and production-ready solutions.QualificationsMinimum 2 years of experience in full-stack development.Proven track record of launching web applications or new product features from the ground up, successfully moving from prototype to production.Experience in deploying AI/LLM-native applications, encompassing both user experience and core algorithm development.Rapidly iterate on solutions based on customer feedback, driving feature development and engaging in proactive user discovery.Experience in cross-functional teamwork, exemplifying the ability to take on product management responsibilities to scope and design features effectively.Demonstrated ability to scale applications to millions of users.Preferred: Background in machine learning and natural language processing.LocationWe foster a hybrid-friendly culture with our primary operations based in downtown San Francisco.Why Join Us?Meaningful Impact: Contribute to cutting-edge AI products that transform knowledge accessibility.Supportive Environment: Collaborate with a team of dedicated professionals who are passionate about innovation.

Be a part of our journey to redefine the AI landscape by shaping the narrative around document understanding.About the RoleAt LlamaIndex, we are dedicated to transforming the way organizations leverage their knowledge through innovative AI-driven agents and tools that enhance enterprise knowledge workflows. As the Lead Product Manager, you will be instrumental in guiding the evolution of our products, ensuring they effectively address the needs of developers and enterprises alike.What We Are Looking ForIn-depth knowledge of developer tools and an understanding of developer challenges.Strong familiarity with AI and its applications in agent-based solutions.A customer-focused approach with a consultative mindset.Ability to navigate uncertainty and drive impactful results.A collaborative attitude and a passion for enabling others to succeed.ResponsibilitiesDrive Product Vision & Strategy: Define and implement the product roadmap for our key offerings, ensuring a balance between developer innovations and enterprise requirements.Lead End-to-End Execution: Manage product lifecycle from ideation to launch, rapidly iterating based on user feedback and analytics. This includes testing products personally and documenting processes as necessary.Engage with Users: Actively connect with developers and enterprise clients to identify challenges, collect feedback, and cultivate strong relationships.Define Success Metrics: Develop and monitor KPIs to assess the effectiveness of product launches and ongoing performance.Collaborate Across Teams: Work closely with engineering, design, and marketing teams to align objectives, ensure smooth delivery, and maximize product impact.Act as a Domain Expert: Build expertise in AI-driven solutions and customer workflows to inform strategic product decisions.Evangelize the Product: Represent LlamaIndex at industry conferences, webinars, and community events, showcasing our technology and gathering valuable insights.QualificationsExperienced Leader: A minimum of 4 years in product management, specifically with developer-facing tools or enterprise SaaS products.Technical Aptitude: Strong technical background with the ability to engage deeply with engineering teams.

Join us in revolutionizing the landscape of AI by crafting compelling narratives around document understanding.About the RoleWe are on the lookout for a dynamic Mid-Market Account Executive to spearhead the entire sales cycle for businesses with fewer than 500 employees that are integrating our cutting-edge AI platform. Your mission will be to identify, cultivate, and finalize partnerships with both technical and business decision-makers in rapidly-growing companies, transforming inbound inquiries, OSS community insights, and proactive outreach into new Annual Recurring Revenue (ARR). You will collaborate closely with your manager and a diverse team to streamline sales processes and build our mid-market approach from the ground up.ResponsibilitiesLead the complete sales process — from prospecting to closing — for accounts with fewer than 500 employees.Proactively create and nurture your pipeline through outbound outreach, OSS community engagements, and partner referrals.Conduct structured discovery sessions to identify technical needs, business challenges, and decision-making criteria.Manage complex deals involving multiple stakeholders, including technical evaluators, economic buyers, and end-users.Partner with Solutions Engineers and Forward Deployed Engineers to execute focused Proofs of Concept (POCs) aligned with clear success metrics.Achieve or surpass ARR and pipeline goals consistently.Maintain thorough CRM records and provide reliable weekly forecasts.Share customer and market insights to shape messaging, product packaging, and the overall product roadmap.Represent LlamaIndex at industry events and within developer communities where potential clients engage.Required Qualifications2–5 years of experience in full-cycle SaaS sales with a proven record of meeting quotas.Demonstrated capability to independently source and develop a sales pipeline.Experience in selling to technical buyers such as engineers, data teams, or developers.Ability to navigate fast-paced decision-making environments with minimal procurement processes.Familiarity with deal qualification frameworks (MEDDIC or similar) and value-based selling techniques.Startup experience preferred: Comfortable with minimal processes, creating your own strategies, and excelling in resource-constrained settings.

Be a pivotal force in the evolution of AI by crafting the narrative around document comprehension.About the RoleWe are on the lookout for a dynamic Mid-Market Sales Manager or Director to spearhead our mid-market revenue initiatives. In this influential role, you will serve as a player-coach, guiding a team of Account Executives and Business Development Representatives (BDRs) in promoting LlamaIndex to fast-growing businesses. You will take charge of pipeline generation, deal execution, and team development, establishing a high-performance culture and building systems that transform individual contributors into a well-oiled revenue-generating machine.ResponsibilitiesRecruit, onboard, and nurture a team of 5–6 mid-market AEs and BDRs.Drive team pipeline goals, forecast accuracy, and Annual Recurring Revenue (ARR) achievement.Conduct structured deal reviews, coaching reps through discovery, qualification, and closing processes.Develop and maintain a robust outbound engine utilizing OSS community indicators, Ideal Customer Profile (ICP) segmentation, and BDR-AE collaboration.Lead a weekly operational rhythm including pipeline reviews, one-on-ones, call coaching, and forecasting discussions.Participate actively in live deals as a player-coach to unblock opportunities and enhance closing rates.Collaborate with product and engineering teams to translate technical advantages into compelling messaging for sales representatives.Provide well-structured market and customer insights to inform product development and go-to-market strategies.Represent LlamaIndex at industry events, enhancing our visibility within the developer and AI ecosystems.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

Join Our Innovative Team at Simple AIAt Simple AI, we are transforming enterprise communications through cutting-edge voice AI agents. Our highly realistic agents empower leading companies such as DoorDash, xAI, and Omaha Steaks to efficiently manage a variety of phone operations, including customer support, order processing, and lead qualification.As we experience exponential growth and a surge in customer demand, we are seeking a few founding software engineers to help us navigate this exciting journey and develop systems for the future. Our passionate team operates from our vibrant San Francisco office five days a week, driven by a shared vision of leveraging AI to make a significant impact in the world.We are proud to be backed by esteemed investors and operators, including Y Combinator, Massive Tech Ventures, and industry leaders such as Michael Seibel (Twitch), Jared Friedman (Scribd), and more.

About the RoleJoin our innovative team at saris-ai, a pioneering applied AI startup based in San Francisco and Montreal. We are on a mission to redefine the banking industry by addressing a $100 billion annual challenge that is rapidly evolving. Our cutting-edge multi-turn AI agentic systems are at the forefront of this transformation.Our objective is to develop automated solutions that require sophisticated long-context reasoning, seamless tool integration across legacy systems, and stringent compliance mechanisms, particularly in scenarios where conventional answers are elusive.With successful real-world deployments and a rapidly expanding client base, we are seeking passionate and technically adept builders eager to make a significant impact from the start.We are in search of an AI Sales Engineer who will play a pivotal role in enhancing productivity and efficiency within financial institutions through innovative AI solutions. In this role, you will lead discovery calls with various departments to identify workflow challenges and design impactful AI-driven solutions. You will serve as the technical authority during sales cycles, assisting clients in recognizing problems, framing solutions, and articulating ROI.This position combines elements of customer engagement and workflow analysis.Your Key Responsibilities Include:Conduct discovery and technical scoping calls with potential clients to uncover operational inefficiencies in financial institutions.Develop workflow maps and reports to identify bottlenecks and pinpoint opportunities for agentic AI automation.Collaborate with the Sales team to co-manage the pre-sales process from initial discovery to proposal delivery.Engage with executive stakeholders, presenting clear and compelling insights on how Agentic AI can deliver measurable ROI and transform operations at scale.Work closely with cross-functional teams including sales, customer success, and product to ensure customer satisfaction and success.

fractional-ai is hiring a Software Engineer to join the team onsite in San Francisco. This role centers on building and improving technology that advances artificial intelligence. Role overview As a Software Engineer, you will work closely with others to develop and support projects that drive the company’s AI initiatives forward. The work involves collaborating with colleagues and contributing technical solutions in a team setting. What you will do Develop software for AI-driven projects Collaborate with team members in the San Francisco office Contribute ideas and technical expertise to ongoing initiatives Requirements Interest in technology and artificial intelligence Ability to work onsite in San Francisco Strong motivation to learn and contribute to team projects

Join Saris AI as an AI Systems Engineer, where you will play a pivotal role in designing and implementing innovative solutions that leverage artificial intelligence technologies. You will collaborate closely with cross-functional teams to develop AI systems that enhance our products and services, driving impactful results for our clients.

Role OverviewLocation: San Francisco, CA Work Model: In-officeAbout Effective AIAt Effective AI, we are pioneering the future of work, focusing on sophisticated AI solutions for complex knowledge tasks rather than simple, repetitive functions. Our goal is to develop advanced AI Teammates that excel in intricate workflows and collaborate seamlessly with human professionals. Our initial challenge is to revolutionize the trillion-dollar U.S. Property & Casualty insurance sector, an area rich in data and complexity, ideal for our innovative approach.We have successfully secured $10 million in seed funding from prominent investors including Lightspeed Ventures and Valor Equity Partners.Our passionate team operates out of San Francisco, where we value in-person collaboration to address these pressing challenges.Your ResponsibilitiesAs a Founding Software Engineer, you will be an integral member of our founding team, significantly influencing the design and development of our core product from inception. You will confront critical challenges in agentic AI, crafting Teammates capable of managing essential insurance functions such as underwriting and claims processing.Specifically, you will:Facilitate long-term task completion by creating the foundational architecture for AI agents to plan and execute multi-step processes reliably over prolonged interactions.Develop advanced reasoning functionalities, enabling agents to make informed decisions based on ambiguous or incomplete information, akin to human experts.Create intelligent, tool-utilizing agents capable of selecting and employing a variety of external tools—APIs, databases, web searches, and Excel-based pricing algorithms—to gather information and take decisive actions.Design adaptive and learning systems, equipping our AI Teammates to learn from feedback and adjust to evolving conditions such as regulatory changes or market dynamics.Your ProfileWe seek an innovative and driven builder excited to tackle substantial challenges.You possess a solid foundation in computer science and remarkable problem-solving capabilities, evidenced by impactful projects or previous experience.Your genuine enthusiasm for AI fuels your passion for tackling complex issues.

Saris AI develops advanced AI automation for the banking sector, with teams in San Francisco, Montreal, and Toronto. The company addresses large-scale automation challenges, focusing on long-context reasoning, integrating with legacy systems, and meeting strict compliance needs. Saris AI’s AI agents are already active in production, supporting real customer workflows as the business expands. Role overview The San Francisco engineering team is seeking an Engineering Manager. This leader will guide engineers through shifting priorities and frequent ambiguity. The position involves building and leading teams, managing projects from concept to launch, and ensuring the delivery of reliable software that powers AI-driven products. What you will do Build and lead engineering teams focused on automation and AI Oversee software projects from initial idea through production launch Adapt to changing requirements and priorities as the company grows Address the technical challenges unique to deploying software in AI systems Requirements Proven experience building and leading engineering teams History of delivering software projects from start to finish Comfort working in environments where priorities and requirements shift quickly Understanding of the complexities involved in AI-driven software deployment Location This role is based in San Francisco.

About the RoleWe are on the lookout for a skilled Forward Deployed AI Engineer to join our dynamic team at Stack AI. This position is crucial for implementing enterprise-level AI solutions with an emphasis on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. Your contributions will significantly enhance our offerings to Fortune 500 companies and enterprises across diverse sectors.Role Overview:In this role, you will seamlessly integrate large language models into enterprise systems, collaborating with strategic accounts to tailor solutions that meet their technical needs. Utilizing the Stack AI platform, you’ll engage with clients to co-create innovative solutions that address their evolving challenges.Key Responsibilities:Enhance and maintain solutions for strategic accounts using the Stack AI platform.Analyze and document requirements and relationships within target enterprise offices.Identify opportunities and provide insights to shape our go-to-market strategy.Directly contribute to the Stack AI codebase, transforming customer feedback into enhancements for the Python backend and React/Next.js TypeScript frontend.Project future opportunities and secure high-value contracts.Draft proposals, present to stakeholders, and lead engaging product demonstrations.Promote Stack AI at enterprise conferences and events.

About David AIDavid AI is pioneering the audio data research landscape, applying a rigorous R&D approach to dataset development akin to the methodologies used in AI labs for model creation. Our goal is to integrate AI seamlessly into real-world applications, with audio serving as the perfect entry point due to its inherent versatility and human connection. As the audio AI field progresses, the demand for high-quality training data becomes critical, and that's where David AI excels.Founded in 2024 by a team of experienced engineers and operators from Scale AI, David AI has quickly gained traction, serving prominent clients among FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from esteemed investors including Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, and First Round Capital.Our team embodies intelligence, humility, ambition, and a close-knit ethos. We are on the lookout for exceptional talent in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About Our Engineering TeamAt David AI, our engineering team is responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data for top AI labs and enterprises. We pride ourselves on our collaborative environment, comprising product engineers, infrastructure specialists, and machine learning experts dedicated to leading the charge in audio data research.We operate at a fast pace, taking ownership of our projects from conception through to production. Our team develops real-time processing pipelines capable of managing terabytes of audio data daily while deploying innovative generative audio models.About This RoleAs a Product Engineer at David AI, you will design and implement state-of-the-art tools that enable our users to leverage audio data effectively for training their AI models. You will collaborate closely with researchers to continuously refine our data collection methodologies.Your ResponsibilitiesDeliver full-stack features that will be utilized by thousands of users on a daily basis.Develop scalable systems that create essential data processing pipelines, extracting actionable insights from terabytes of audio data each day.Construct, deploy, and assess LLM and DSP-based solutions to enhance our clients' comprehension of intricate features within our datasets.Rapidly iterate on research hypotheses by collaborating with researchers and the operations team to deploy enhancements efficiently.

About Simple AIAt Simple AI, we are pioneering cutting-edge voice AI solutions tailored for enterprises. Our lifelike voice agents empower renowned companies such as DoorDash, xAI, and Omaha Steaks in managing diverse phone operations ranging from customer support to order intake and lead qualification. As we experience rapid revenue growth, we seek a couple of founding software engineers to help us meet current customer demands while developing innovative systems for the future. Our team is passionate about harnessing AI to transform the world, and we operate from our San Francisco office five days a week.Simple AI is proudly supported by top-tier investors and industry leaders, including Y Combinator, Massive Tech Ventures, and prominent figures like Michael Seibel (co-founder of Twitch), Jared Friedman (Scribd), Alexandr Wang (Scale AI), Matt Van Horn (June Oven and Lyft), Suhail Doshi (Mixpanel), JJ Fliegelman (WayUp), and Scott Wu (Cognition).Meet the FoundersThe founders, Catheryn Li and Zach Kamran, previously led software teams at Y Combinator, where they launched numerous products for YC founders, including the co-founder matching site. Cat brings experience from Instagram and Facebook and holds degrees in mathematics and computer science from MIT. Zach studied computer science and statistics at the University of Chicago and led software initiatives at PEAK6.What We ProvideCompetitive salary with significant equity opportunitiesEmployee-friendly equity termsOffice located in San FranciscoComprehensive health, dental, and vision insuranceComplimentary lunch and dinner at the officeFree Uber rides home after 8:30 PMRegular team events and offsite activitiesYour Qualifications4+ years of relevant software engineering experience.Exceptional problem-solving skills and a passion for tackling technical challenges.A customer-centric mindset coupled with strong communication skills and a keen interest in product design and prioritization.Self-motivated with the ability to work independently.A genuine enthusiasm for continual learning and keeping abreast of the latest advancements in AI.

About HappyRobotHappyRobot is revolutionizing the real economy with our AI-native operating system, designed to seamlessly connect intelligence with actionable insights. Our innovative platform combines real-time data with specialized AI tools, empowering enterprises to execute complex, mission-critical operations autonomously.Our AI OS continuously learns, optimizes processes, and adapts over time, beginning with supply chain and large-scale industrial operations where resilience, speed, and ongoing enhancement are paramount. We enable humans to concentrate on strategic, creative, and high-impact tasks.Discover more about our vision in our Manifesto. HappyRobot has successfully raised $62M, including a notable $44M in our Series B funding round as of September 2025, backed by prestigious investors such as Y Combinator (YC), Andreessen Horowitz (a16z), and Base10. We are dedicated to building a world-class team of driven, problem-solving professionals who thrive in a fast-paced environment. If this sounds like you, we invite you to join us at HappyRobot.About the RoleJoin our growth team in this pivotal content-focused position, collaborating directly with the Head of Growth and founders to narrate HappyRobot's story across various channels. Your contributions will drive everything from brand awareness and demand generation to product marketing and sales enablement. Responsibilities include managing the editorial calendar, crafting and refining blog and social media posts, developing GEO-targeted content initiatives, partnering with designers to create visually appealing content, and monitoring performance metrics to inform future strategies. The ideal candidate will possess outstanding writing and editing capabilities, exceptional organizational skills, and the ability to manage a diverse array of projects, from detailed content production to overarching brand messaging.

Join Our Team as a Machine Learning EngineerSaris-AI is a pioneering applied AI startup, based in San Francisco and Montreal, focused on revolutionizing the banking sector. Our mission is to address a colossal $100 billion/year challenge that is rapidly expanding, innovating the limits of what can be achieved with advanced multi-turn AI systems.We aim to automate complex workflows that necessitate long-context reasoning, orchestration of tools across legacy systems, and rigorous compliance processes—solving problems that currently lack definitive solutions.Our team has successfully deployed AI agents that manage real customer workflows effectively in production. As we expand our customer base and accelerate our growth, we are in search of highly skilled technical builders who aspire to make a significant impact in the early stages of our journey.As a foundational Machine Learning Engineer, you will own our entire ML stack and bring custom agents to life.