Executive Assistant to the CEO at HappyRobot | San Francisco

Join Our Team at HappyRobotAt HappyRobot, we are pioneering the AI-native operating system designed for the real economy. Our innovative platform seamlessly integrates real-time insights, specialized AI workforce, and orchestrating intelligence, empowering enterprises to manage complex, mission-critical operations with unparalleled autonomy.Our AI OS not only accumulates knowledge but also optimizes processes and adapts over time. We are initially focusing on supply chain and industrial-scale operations where resilience, speed, and continuous improvement are paramount. This allows human teams to concentrate on strategic, creative, and high-value initiatives.To delve deeper into our vision, check out our Manifesto. HappyRobot has successfully raised $62 million to date, including our latest $44 million Series B funding in September 2025. Our esteemed investors, including Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, share our commitment to transform enterprise operations. We are leveraging this investment to build a high-caliber team of driven, innovative individuals who thrive in a fast-paced, challenging environment. If this excites you, we want you at HappyRobot.Your Role:As a Product Operations Engineer, you will serve as the operational backbone of our product organization, collaborating directly with the CTO and Head of Product. This role is tailored for a highly productive technical contributor who values structure, discipline, and execution. You'll be positioned at the crucial intersection of Product Engineering, Deployments, Go-To-Market, and Operations, ensuring these teams are not just co-existing but are harmoniously synchronized. Your focus will be on solving the most pressing challenges hindering our progress, whether by refining data pipelines, structuring pricing models, or managing intricate deployment logistics.

About HappyRobotHappyRobot is revolutionizing the operational landscape with its AI-native operating system tailored for the real economy. Our platform seamlessly integrates real-time intelligence and specialized AI solutions, enabling enterprises to execute complex, mission-critical operations autonomously.By harnessing the power of AI, we enhance knowledge, optimize processes, and evolve over time. Our initial focus is on supply chain management and industrial-scale operations, emphasizing resilience, speed, and continuous improvement—allowing humans to concentrate on strategy, creativity, and high-value activities.Discover more about our vision in our Manifesto. With $62 million raised, including a recent $44 million Series B round in September 2025, we are backed by prominent investors such as Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, who share our mission to transform enterprise operations. We are committed to building a world-class team driven by relentless determination, sharp problem-solving skills, and a passion for innovation in a dynamic environment. If this sounds like you, consider joining HappyRobot.Role OverviewWe are seeking a Strategy & Operations Engineer who will play a critical role in eliminating manual tasks throughout the organization by architecting, developing, and managing internal systems and automation. This role is positioned at the confluence of engineering and business operations, focusing on creating sustainable leverage by transitioning from ad hoc methods to scalable, technical solutions.

About HappyRobotHappyRobot serves as the essential infrastructure for enterprises aiming to construct and manage AI-driven workforces. Our AI agents are not just communicators; they are capable of making autonomous decisions, taking actions, and managing operations across various platforms including voice, email, and enterprise systems. Founded in Y Combinator (S23) and supported by renowned investors such as a16z and Base10, we have successfully raised over $60 million and are dedicated to empowering vital operations for global enterprises.Our platform has been rigorously tested in challenging environments, where the implications of AI are significant. We initially focused on logistics, developing our own voice stack, models, and orchestration layer entirely from scratch, and are now working to extend this infrastructure to every enterprise that plays a role in the real economy. Discover more about our vision in our manifesto.

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.

About HappyRobotAt HappyRobot, we are pioneers in developing an AI-native operating system tailored for the real economy. Our innovative system seamlessly integrates intelligence with action, empowering enterprises to conduct intricate, mission-critical operations autonomously. By harnessing real-time insights, specialized AI workers, and orchestrating intelligence, we enable organizations to thrive.Our AI OS accumulates knowledge, optimizes processes at all levels, and adapts over time. We are initially focusing on supply chain and industrial-scale operations where resilience, speed, and continuous improvement are paramount—allowing human talent to concentrate on strategic and creative endeavors.Discover our vision further in our Manifesto. HappyRobot has successfully raised $62M to date, including an impressive $44M in our recent Series B funding round in September 2025. Our investors, including Y Combinator (YC), Andreessen Horowitz (a16z), and Base10, share our commitment to transforming enterprise operations. We are utilizing this investment to build a top-tier team of driven individuals with exceptional problem-solving skills and a passion for innovation in a fast-paced environment. If this aligns with your aspirations, you are a perfect fit for HappyRobot.Role OverviewWe are seeking a dynamic and results-oriented Enterprise Account Executive to be an integral part of our expanding sales team. In this pivotal role, you will manage the complete sales cycle, cultivate strong relationships with enterprise clients, and significantly contribute to our revenue growth.What You’ll DoExecute Enterprise Sales - Take charge of the entire sales cycle, from prospecting to closing enterprise-level contracts.Manage Pipeline - Build and sustain a healthy pipeline of enterprise accounts, ensuring a steady flow of deals.Consultative Approach - Gain insight into client challenges, industry trends, and business objectives to effectively position our SaaS solutions.Build Relationships - Establish and maintain enduring relationships with key stakeholders and decision-makers.Lead Negotiations - Navigate complex negotiations to achieve beneficial outcomes for both the client and HappyRobot.Collaborate Across Functions - Partner closely with Sales Engineering, Customer Success, and Product teams to provide tailored solutions.Drive Revenue - Meet and surpass sales objectives.

About HappyRobotHappyRobot is at the forefront of revolutionizing the way enterprises harness AI workforces. Our AI agents are not just communicators; they actively make decisions, execute actions, and autonomously manage operations across voice, email, and enterprise systems. Originating from Y Combinator (S23) and supported by a16z and Base10 with over $60 million in funding, we empower essential operations for global enterprises.Our platform has proven robust in the most challenging environments, where AI impacts real outcomes. We began in logistics, developing our own voice stack, models, and orchestration layer from scratch, and are now extending that infrastructure to every enterprise that drives the real economy. Discover more about our vision in our manifesto.Role OverviewIn light of HappyRobot's rapid growth, this role is crucial in ensuring the underlying systems for Growth and Sales function effectively — from clean data and reliable reporting to seamless automations and a tooling stack that propels our teams forward. You will take charge of Salesforce operations, overseeing fields, workflows, data integrity, dashboards, and reporting. Additionally, you will manage the operational layer across our growth stack, which includes attribution, tool integrations, email infrastructure, and automation processes. You will be the go-to person for both Growth and Sales teams when they need solutions built, issues resolved, or new ideas explored.You would be an ideal candidate if you approach the GTM stack with a product manager's mindset — evaluating what's effective, identifying bottlenecks, recognizing gaps, and determining what to develop or procure next. As we expand, you will gain broader responsibilities over this stack and the strategic decisions surrounding it.What You’ll DoOversee Salesforce administration: ensuring data integrity, managing fields, record-triggered flows, reports, and dashboards.Develop and maintain integrations between Salesforce and the broader GTM stack (including Amplemarket, Unify, marketing automation tools, etc.).Establish and manage attribution to ensure we can assess what strategies are effective.Manage email infrastructure: domain setup, inbox warmup, and deliverability monitoring.Create automations that streamline processes and minimize manual tasks across the pipeline.

About HappyRobotHappyRobot is pioneering the infrastructure that empowers enterprises to construct and manage AI workforces. Our AI agents not only communicate but also make informed decisions, take initiative, and autonomously manage operations across voice, email, and enterprise systems. Originating from Y Combinator (S23) and supported by a16z and Base10, with over $60M in funding, we facilitate essential operations for global enterprises.Our platform has been rigorously tested in high-stakes environments where AI decisions carry significant weight. We began in logistics, developing our own voice stack, models, and orchestration layer from the ground up, and are now extending this infrastructure to every enterprise that drives the real economy. Discover more about our vision in our manifesto.Role Overview:We are seeking a Product Operations Engineer to serve as the operational backbone of our product organization. You will collaborate directly with the CTO and Head of Product in this high-impact, technical role that thrives on discipline, structure, and execution. At HappyRobot, you will function at the vital intersection of four core functions: Product Engineering, Deployments, Go-To-Market, and Operations. You will act as the connective tissue ensuring these teams are not merely coexisting but are perfectly synchronized. Your role will involve addressing the most pressing challenges hindering our progress—whether that involves optimizing data pipelines, structuring pricing models, or managing intricate deployment logistics.Key Responsibilities:Bridge to Deployments: Serve as the primary liaison between the Product Engineering and Deployment teams, ensuring that the Deployment team is well-equipped with new features, overseeing the technical feedback loop from the field back to engineering, and ensuring successful market releases.GTM & Commercial Enablement: Collaborate with the Go-To-Market team to drive technical enablement, support Product-Led Sales (PLS) initiatives, and refine pricing structures for features. You will ensure that the commercial team appreciates the technical realities and value of our offerings.Metrics & Measurement: Partner with Engineering and Strategy & Ops to define and monitor product and company metrics. You will engage directly with raw data to ensure we are focusing on the right outcomes.Data Labeling Operations: Oversee the human component of data labeling to ensure accuracy and efficiency.

About David AIDavid AI is a pioneering audio data research company that applies a rigorous R&D framework to data development, akin to that of leading AI labs. Our mission is to seamlessly integrate AI into everyday life, recognizing that audio serves as a natural interface. As the demand for advanced audio AI grows, the need for high-quality training data becomes critical—this is where David AI excels.Founded in 2024 by a talented team of former Scale AI engineers and operators, we have rapidly secured partnerships with major FAANG companies and AI laboratories. Recently, we raised $50M in Series B funding from prestigious investors like Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital, and others.Our team is composed of sharp, humble, and ambitious individuals who collaborate closely. We are eager to welcome the brightest minds in research, engineering, product, and operations to join us in advancing the frontiers of audio AI.About our Data Operations TeamThe Data Operations team is the powerhouse behind David AI's Data Factory, converting raw audio into exceptional training datasets for top AI labs. Our goal is to develop and manage new data pipelines on a grand scale.This entails starting with a model capability we aim to unlock, experimenting with various data shapes and collection strategies, and validating these approaches with researchers. Once we identify a successful method, we industrialize it by creating reliable, efficient, and high-quality audio processing pipelines. Our team thrives in ambiguous environments, adept at both prototyping innovative workflows and managing extensive production systems.About This RoleAs the Data Product Operations Lead, you will be instrumental in propelling the Data Factory at David AI. Your responsibilities will include designing and scaling pipelines that transform raw audio into valuable datasets for leading AI labs. You will take full ownership of data products from initial prototypes to large-scale implementations, actively building workflows, validating them with researchers, and ensuring their reliability at production levels.In This Role, You WillOversee the complete success of a data pipeline, from initial experiments to scaling up production systems that produce high-quality audio data in significant volumes.Design and operate pipelines that maintain reliability, quality, and efficiency while processing an extensive volume of audio data.

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.

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 David AI as a Staff Product EngineerAt David AI, we are pioneering the field of audio data research, applying a rigorous R&D methodology to create robust datasets that empower AI models. Our vision is to integrate AI seamlessly into daily life, with audio serving as the key medium. As the demand for high-quality training data grows, we position ourselves as the solution.Founded in 2024 by a team of seasoned engineers from Scale AI, we quickly garnered the trust of leading FAANG companies and AI labs. Our recent $50M Series B funding round was led by prestigious investors including Meritech and NVIDIA, underscoring our potential in the audio AI landscape.We pride ourselves on our dynamic, collaborative, and ambitious team, and we are on the lookout for exceptional talent in research, engineering, product, and operations to help us redefine audio AI.About Our Engineering TeamOur engineering team is at the forefront of innovation, building the infrastructure, platforms, and models that convert raw audio into valuable data for top-tier AI labs and enterprises. We are a close-knit group of product engineers, infrastructure experts, and machine learning specialists who are dedicated to establishing the first-ever audio data research organization.We operate with agility, taking ownership of our projects from inception to deployment, delivering production-ready solutions on a daily basis. Our engineers design real-time pipelines that manage vast amounts of speech data while deploying advanced generative audio models.Your RoleAs a Staff Product Engineer, you will spearhead our Product Engineering team, developing state-of-the-art products that enable our clients to harness audio data effectively for model training. You will collaborate with researchers to continually refine our data collection methodologies.Your ResponsibilitiesLead the development of full-stack features, rapidly iterating to deliver daily innovations to our users.Construct scalable systems that process terabytes of audio data and extract actionable insights.Deploy and assess LLM- and DSP-based solutions to enhance customer understanding of their data.Facilitate research iterations and deployment interfaces for data collection in collaboration with researchers and operations.

Join the Firetiger TeamAt Firetiger, our vision is to empower entrepreneurs in creating one-person companies that generate over $1 billion in revenue.We are transforming the future of software companies by envisioning a world where autonomous agents take over the majority of operational tasks, reducing the need for human intervention.Unlike traditional software engineering tools designed for manual operation, Firetiger pioneers a revolutionary approach where success is defined by our customers, and our agents ensure those goals are consistently met through continuous monitoring and action.Founded by industry leaders Rustam and Achille, both former executives from Cloudflare and Segment, we are backed by Sequoia Capital and a network of innovative founders and executives from top tech companies.We are seeking a talented Product Engineer to create seamless interfaces between human users and AI agents, focusing on workflows, visualizations, and interaction patterns that simplify autonomous technical operations.

About LightfieldLightfield is a cutting-edge AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction, transforming it into organized context—encompassing accounts, tasks, follow-ups, and insights—ensuring no detail is overlooked.We are redefining CRM by focusing on fundamental principles. Rather than imposing rigid systems, Lightfield adapts to the natural workflows of companies, automating processes and revealing insights that propel growth. We're crafting the CRM platform we've always desired: swift, intelligent, and truly beneficial.Our team, backed by prominent investors such as Greylock, Lightspeed, and Coatue, has previously created Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have also contributed to renowned products at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a highly motivated and innovative engineer who is passionate about harnessing LLMs to create exceptional product experiences. Join us at the forefront of AI product innovation, where you will develop industry-leading solutions to address critical customer challenges.As an engineer at Lightfield, you will take ownership of projects from conception to execution, collaborating with cross-functional teams throughout the process. You will also help shape our company's product and technical vision, learning from each project as we continue to expand.What You Will DoPartner with product leaders to pinpoint customer challenges, define requirements, and implement LLM-powered solutions.Utilize LLMs as reasoning engines to develop domain-specific AI assistants.Craft and refine prompts, employing techniques such as few-shot learning and chain-of-thought.Design and optimize end-to-end RAG pipelines and agent architectures to effectively utilize both public and proprietary data.Enhance the overall quality of AI agents (e.g. relevance, fidelity, latency) through empirical evaluation and iterative improvements.Create and improve systems and tools that facilitate high-velocity experimentation (e.g. LLM-powered automated evaluation) and personalized product experiences.Stay updated with the latest AI research and integrate cutting-edge techniques into our work.Contribute to defining technical direction and best practices for AI application development at Lightfield.Play a role in building a world-class engineering culture.

About Us:At ResiQuant, we are dedicated to addressing a critical challenge in disaster resilience: the availability of accurate, standardized, and dynamic property data. As climate change and natural disasters such as earthquakes, hurricanes, and wildfires increasingly affect our world, informed risk decisions are often made with incomplete or erroneous data.Our mission is to equip insurers, financial institutions, and asset managers with AI-driven systems that integrate structural engineering knowledge. These systems help to bridge crucial data gaps, providing precise, actionable insights into buildings for improved decision-making.Founded by Stanford PhDs, we are devoted to utilizing state-of-the-art AI technologies to safeguard communities and businesses against the impacts of disasters. At ResiQuant, we envision a future where every organization has access to premier property risk intelligence, fostering resilience and protecting what matters most.The RoleIn this position, you will design and manage the backend systems that drive AI-powered property risk intelligence at enterprise scale. You will be responsible for creating APIs, data pipelines, and model-integrated services that provide reliable, real-time insights trusted by insurers for billion-dollar underwriting decisions. As an integral member of our early team, you will collaborate closely with the founders to establish the technical foundation of the platform and ensure that cutting-edge AI is applied safely and effectively within the insurance sector.What You’ll DoTake ownership of backend features from design through to deployment.Design scalable services and integrations tailored for Fortune 500 insurers.Construct pipelines to ingest, validate, and transform extensive property datasets.Develop and enhance AI-assisted backend functionalities (API design, retrieval-backed features, monitoring).Ensure observability, reliability, and performance across all systems.Work collaboratively with founders, engineers, and customers to rapidly iterate on impactful features.Who You Are0–5 years of engineering experience (1–3 years preferred). Outstanding new graduates are encouraged to apply.Bachelor’s degree in Computer Science or a related field.Proficient in Python, databases, and cloud platforms (AWS/GCP).Experience in delivering AI-assisted or data-intensive services (e.g., model APIs, retrieval pipelines).Strong understanding of backend engineering principles and practices.

About HappyRobotHappyRobot is revolutionizing the way enterprises harness the power of AI. Our sophisticated AI workforce not only communicates effectively but also makes informed decisions and autonomously manages operations across various platforms, including voice, email, and enterprise systems. Founded in Y Combinator (S23) and supported by leading investors such as a16z and Base10 with over $60 million raised, we are at the forefront of enabling critical operations for global enterprises.Our platform has been rigorously tested in high-stakes environments where AI impacts real-world outcomes. Initially focused on logistics, we have developed our proprietary voice stack, models, and orchestration layer from scratch, and we are now extending this robust infrastructure to empower every enterprise engaged in the real economy. Discover our vision in our manifesto.Role Overview:We are on the lookout for a talented and innovative Creative Designer who will enhance our brand identity and visual storytelling. This pivotal role will shape how HappyRobot interacts with the world, influencing our visual language across our website, marketing materials, campaigns, and significant company events.What You’ll Do:Develop compelling growth and marketing assets, including static images, animated videos, and visual content for various channels.Enhance brand visibility and social media lead generation through cohesive and impactful visual storytelling.Collaborate closely with product marketing on launches, campaigns, and brand positioning.Create design assets that effectively convey complex AI and enterprise concepts in an accessible and engaging manner.Contribute to marketing strategies that fuel pipeline growth and go-to-market performance.Quickly iterate based on feedback while maintaining a high standard of creativity and detail.Must Have:Outstanding graphic design skills, demonstrated through a robust portfolio showcasing your capabilities.Proven experience in creating assets for growth, marketing, or go-to-market teams.Proficiency in designing for various formats (social media, video, digital campaigns, launch assets).Experience collaborating with cross-functional teams to produce high-quality visual content.

Rhythms develops AI technologies that help organizations operate with greater autonomy. The founding team previously built Ally.io, acquired by Microsoft, and the company is supported by investors such as GreenOaks, Madrona, and Accel. Rhythms has earned recognition from GeekWire and is listed among the top AI innovators for 2025. Its platform is already used by Fortune 100 firms, healthcare systems, and logistics organizations worldwide. The core platform uses a multi-agent AI architecture to automate business processes, monitor progress across systems, identify risks early, and reduce manual work. Integrations with Slack, Teams, Jira, and Linear help keep operations connected and efficient. Role overview This AI Product Engineer role is based in San Francisco and offers broad responsibility across multi-agent systems, large language model (LLM) orchestration, and the customer-facing product. The work is hands-on, with daily feature releases to production, direct customer interaction, and rapid feedback cycles. The position involves identifying problems, designing and implementing solutions, and taking ownership of the results. What you will do Develop agent systems that autonomously manage business operations, including OKR execution, MBR/WBR cadences, and Auto-Pilot workflows, with a focus on enterprise reliability. Oversee features from discovery and design through implementation and measurement. Design multi-agent systems that balance performance and reliability, making informed decisions on models, orchestration, and evaluation methods. Create chat-native product experiences that blend strong product sense with thoughtful systems design. Advance the AI stack by using tools such as Claude Code and Cursor, shipping new AI features weekly, and adapting as models evolve. Requirements 2–5 years of experience building production software, with hands-on work involving LLMs, agents, or AI-native products beyond prototypes or demos. Strong Python skills and familiarity with React/Next.js, along with experience in distributed systems. Customer-focused approach, prioritizing user impact over technical architecture alone. Track record of delivering agent systems that perform reliably in production settings.

About UsOur mission is to transform language learning.Language learning can profoundly impact lives by connecting individuals to new cultures, careers, and communities. With two billion people worldwide striving to learn a language, the most effective method (one-on-one tutoring) remains hard to access at scale and has not seen significant innovation in decades. Speak is pioneering a human-level, AI-driven tutor that fits in your pocket: a conversational-first platform that enables learners to speak, receive immediate feedback, and advance through thoughtfully crafted lessons. The outcome is a comprehensive journey from novice to proficient speaker across various languages.Since our launch in South Korea in 2019, Speak has ascended to the top of the language learning app market, catering to learners across numerous regions and supporting over 15 languages. Backed by more than $150 million in venture funding from notable investors like OpenAI, Accel, Founders Fund, and Khosla Ventures, we maintain a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleIn the role of AI Product Engineer at Speak, you will be instrumental in shaping the future of language learning and establishing the most efficient path to fluency. Your key responsibility will be to develop cutting-edge product experiences powered by Language Learning Models (LLMs) and deliver these innovations to millions of users.Your work will encompass the entire stack and more, including model evaluation, prompt testing, and the development and enhancement of various product features such as conversational onboarding, lesson experiences, grammatical assessment, and personalized learning journeys.We constantly strive to expand the capabilities of LLMs to provide an extraordinary and unmatched language learning experience for users in over 30 countries worldwide.Your ResponsibilitiesDesigning and launching LLM-powered language learning products across the full stack, while improving the quality and efficacy of existing AI-driven features at Speak.Collaborating cross-functionally with Engineering teams, Applied ML, Product, Design, and Content.Enhancing our process for building LLM applications, including best practices for prompting, experimentation/evaluation, LLM operations, and performance measurement.Scaling current product features to serve a broader user base and additional languages.

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 Liquid AIBorn from the innovative environment of MIT CSAIL, Liquid AI develops cutting-edge general-purpose AI systems that operate seamlessly across various deployment environments—from data center accelerators to on-device hardware. Our solutions prioritize low latency, minimal memory consumption, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome exceptional talent to our dynamic team.The OpportunityJoin us in establishing the product function that will transform Liquid AI's technological advancements into scalable, repeatable solutions for enterprise clients. As a key member of our Product team, you will work closely with technical leaders to define, package, and launch AI solutions that meet market needs. This role requires daily collaboration with ML engineers, GTM leaders, and enterprise customers to understand the value of our technology and effectively deliver it. This position offers significant ownership, allowing you to treat your solution area like your own startup within our organization.What We're Looking ForWe are seeking an individual who embodies the following qualities:Customer Obsession: Prioritizes understanding customer needs through direct feedback rather than assumptions.Self-Direction: Takes initiative to dive deep into problems without prompting, and is comfortable navigating uncertainty to propose effective solutions.Technical Fluency: Engages confidently with ML engineers and researchers, understanding the complexities of deploying AI systems in real-world applications.Founder Mentality: Treats their solution area as a startup, owning outcomes across various functions, from technical architecture to go-to-market strategies.The WorkOversee one or more go-to-market ready solutions from inception to scalable customer deployment.Analyze customer interactions to extract insights and identify productization opportunities.Collaborate with ML and inference teams to develop tools that streamline implementation.Define Ideal Customer Profiles (ICPs), pricing strategies, and packaging for scalable solutions.Partner with GTM teams to enhance outbound sales efforts around productized offerings.