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.

About UsAt Speak, we are on a mission to transform the way individuals engage with language learning.Learning a new language has the power to transform lives, unlocking opportunities in diverse cultures, careers, and communities. With two billion people globally seeking to learn a language, the most effective method—one-on-one tutoring—remains difficult to access on a large scale and has seen little innovation for decades. Speak is pioneering an AI-driven, human-level tutoring experience that fits in your pocket: a conversation-first platform enabling learners to practice speaking, receive immediate feedback, and advance through meticulously crafted lessons. Our approach provides a comprehensive journey from novice to confident speaker in multiple languages.Launched in South Korea in 2019, Speak has quickly risen to become the leading language learning application in the region, catering to learners across various markets in over 15 languages. As one of the foremost AI companies globally, we have secured over $150 million in venture capital from prominent investors such as OpenAI, Accel, Founders Fund, and Khosla Ventures, with a distributed team operating across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleAs a Platform Engineer at Speak, you will play a pivotal role in enhancing the reliability and resilience of our systems that support the global language learning experience. You will lead initiatives to scale our infrastructure, fortify our platform, and ensure our services are fast, accessible, and dependable for millions of users worldwide.Your work will span our entire tech stack—from Kubernetes on GCP to our Node.js APIs, Postgres, and Redis—creating robust infrastructure and operational tools. You will take charge of incident response, observability, and SLOs, fostering a culture of reliability throughout the engineering organization.With Speak's rapid growth, we are continuously pushing our systems to their limits. This is a unique opportunity to influence the future of our platform as we scale to accommodate the next tenfold increase in users.

About UsOur mission is to revolutionize the way individuals learn languages.Mastering a language can transform lives by opening doors to diverse cultures, professions, and communities. With two billion people worldwide striving to learn a new language, access to effective one-on-one tutoring remains a challenge and has seen little innovation over the decades. Speak is creating an AI-enhanced tutor that fits in your pocket, delivering a conversation-first approach that enables learners to practice speaking, receive instant feedback, and progress through thoughtfully crafted lessons. Our platform provides a comprehensive journey from novice to confident speaker in multiple languages.Launched in South Korea in 2019, Speak has emerged as the leading language learning app in the region, now catering to learners in various markets across over 15 languages. As one of the foremost AI companies globally, we have successfully secured over $150 million in venture capital from notable investors including OpenAI, Accel, Founders Fund, and Khosla Ventures. Our team operates remotely across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleWe are in search of a passionate Senior Full-stack Engineer who thrives in a versatile development environment. While your initial projects will primarily focus on frontend development, we anticipate a seamless transition into backend tasks, contributing to the creation of innovative AI-driven product experiences.The ideal candidate will possess experience collaborating closely with product management, design, and machine learning teams, along with a proven track record in developing refined consumer applications. This position is pivotal in shaping our latest products centered on programmatic, conversation-driven language learning, making you a key player in the future trajectory of our company.Your ResponsibilitiesDesigning groundbreaking AI-powered product experiences and user interfaces for the webManaging the complete development lifecycle of features, from initial concept through to productionRapidly writing code, deploying frequently, and significantly impacting our business by aiding in content scalabilityYour Qualifications4+ years of experience in creating highly polished web-based product experiences, with extensive proficiency in ReactAbility to balance quality execution with agile, scrappy development when necessaryA passion for quickly delivering results and contributing to the growth of the company

About UsAt Speak, we're on a mission to revolutionize language learning.Learning a language can transform lives, unlocking new cultures, careers, and communities. With two billion people globally eager to learn a language, traditional one-on-one tutoring remains elusive and has seen little innovation in decades. Speak is creating an AI-powered, human-level tutor that fits in your pocket: a conversation-focused experience that encourages learners to speak, receive immediate feedback, and progress through thoughtfully crafted lessons. This leads to a comprehensive journey from beginner to confident speaker in multiple languages.Originally launched in South Korea in 2019, Speak has quickly risen to become the leading language learning app, now serving learners across various markets and offering over 15 languages. As one of the world’s top AI companies, we have raised over $150 million in funding from prestigious investors like OpenAI, Accel, Founders Fund, and Khosla Ventures, with a diverse team located in San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleAs a Senior Analytics Engineer at Speak, you will be instrumental in shaping the future of digital language education while advancing our mission of making language proficiency attainable for millions around the globe.Your primary focus will be to empower every team member to leverage data for informed decision-making. Your responsibilities will include establishing reliable datasets, defining key performance metrics, and managing the analytical tools utilized across the organization. You will collaborate closely with product, engineering, and analytics teams to ensure our platform, driven by state-of-the-art technology, is robust and provides actionable insights to improve user engagement and learning outcomes.What You'll Be DoingConstruct and Optimize Data Infrastructure: Oversee and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to guarantee efficient data flow and processing.Facilitate Data-Driven Decision-Making: Collaborate with cross-functional teams to develop data models and metrics that support critical business analyses.Empower Stakeholders: Continuously assess and enhance our tool stack to ensure that accessing data-driven answers is as seamless as possible.Collaboration and Systems Thinking: As a key member of our team, you will partner with product managers, analysts, and fellow engineers to design data solutions and processes that drive results.

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 UsOur mission is to revolutionize language learning.Learning a new language can transform lives by providing access to diverse cultures, career opportunities, and communities. With two billion people globally striving to learn languages, the most effective method—one-on-one tutoring—remains difficult to access at scale and has not evolved significantly over the years. Speak is developing an AI-powered, human-like tutor that fits in your pocket, offering a conversation-first approach that allows learners to practice speaking, receive immediate feedback, and progress through thoughtfully designed lessons. This results in a comprehensive journey from novice to confident speaker across multiple languages.Since our launch in South Korea in 2019, Speak has emerged as the leading language learning app, now available to learners in various markets and over 15 languages. As one of the foremost AI companies globally, we have secured over $150 million in venture capital from notable investors such as OpenAI, Accel, Founders Fund, and Khosla Ventures, with a diverse team spread across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleWe are seeking a Senior Backend Engineer, with full-stack capabilities, to help create innovative AI-driven product experiences. The ideal candidate should have experience collaborating closely with product, design, and machine learning teams, alongside a proven track record in developing polished consumer applications. This role is pivotal in shaping our latest products focused on programmatic, conversational language learning and will significantly impact the future direction of our company.Your ResponsibilitiesCrafting innovative AI-driven product experiences and user interfaces for the web.Full-stack engineering with a primary focus on designing scalable backend systems.Troubleshooting complex streaming challenges.Taking ownership of the complete development cycle of features from ideation to production.Writing code efficiently, shipping frequently, and making a substantial impact on our business by facilitating the scaling of our content.Your Profile5+ years of industry experience as a Backend Engineer, ideally within a fast-paced startup environment.Bonus: Experience on an app that has reached over 1 million users.Exceptional problem-solving and communication skills, along with the ability to work effectively in a collaborative environment.

About UsAt Speak, we are on a mission to transform the way individuals learn languages.Learning a new language can be life-changing, unlocking opportunities to explore new cultures, advance careers, and build connections. With two billion people globally striving to master a language, the most effective method—one-on-one tutoring—remains elusive and has not significantly evolved over the years. Speak is pioneering an AI-powered, human-level tutoring experience that fits in your pocket: a conversation-first platform designed to empower learners to practice speaking, receive immediate feedback, and progress through meticulously crafted lessons. This approach offers a comprehensive journey from novice to proficient speaker across various languages.Launched in South Korea in 2019, Speak has rapidly ascended to become the leading language learning application, now catering to learners in multiple markets and over 15 languages. As one of the foremost AI enterprises globally, we have secured over $150 million in venture funding from prestigious investors such as OpenAI, Accel, Founders Fund, Khosla Ventures, and others, supported by a diverse team distributed across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleAs a Senior iOS Engineer within Speak’s engineering team, you will play a crucial role in enhancing our content delivery, conducting A/B tests on monetization features, and supporting the launch of new markets and languages. Your collaboration with backend engineers and our Product and Design partners will be essential as you work to deliver product features to millions of users.Key ResponsibilitiesEnhance the “freemium” experience to boost conversion ratesAid in the introduction of new markets and languagesImplement various paywall experiments, including pricing, design modifications, deferred paywalls, and promotional offersRefine our speech-to-text systemAdvance our audio and video streaming technologiesQualificationsA minimum of 5 years of professional experience as a Mobile Engineer, ideally within a dynamic startup atmospherePreferred: Experience working on an app with over 1 million usersExpertise in Swift, with a solid grasp of prevalent mobile architectures, including MVC/MVVMPreferred: Familiarity with SwiftUIPreferred: Experience in mobile streaming technologies

About UsOur mission is to revolutionize language learning.Learning a new language can be transformative, unlocking opportunities to explore diverse cultures, career paths, and communities. With two billion people worldwide striving to learn a language, the most effective method—personalized one-on-one tutoring—remains difficult to access at scale and has seen little innovation for decades. Speak is pioneering an AI-driven tutor that fits in your pocket, offering a conversation-first approach that enables learners to engage in dialogue, receive immediate feedback, and progress through thoughtfully crafted lessons. This leads to a comprehensive journey from novice to confident speaker across numerous languages.Since our launch in South Korea in 2019, Speak has emerged as the leading language learning app, expanding our reach to learners across various markets and 15+ languages. As one of the foremost AI companies globally, we have secured over $150 million in venture funding from prominent investors including OpenAI, Accel, Founders Fund, and Khosla Ventures, with a diverse team distributed across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About This RoleAs an Android Engineer on Speak’s engineering team, you will play a pivotal role in enhancing our content delivery, conducting A/B tests on monetization strategies, and supporting the launch of new markets and languages. You will collaborate closely with backend engineers and our Product and Design partners, delivering product features to millions of users.Your ResponsibilitiesDevelop growth mechanisms, including referral systems and in-app sharing features.Enhance new user acquisition and retention strategies.Work on pricing and packaging strategies.Assist in launching new markets and languages.Refine our text-to-speech capabilities.Improve our audio and video streaming systems.QualificationsA minimum of 3 years of industry experience as a Mobile Engineer, ideally in a dynamic startup environment.Bonus: Experience working on an app that has reached 1 million users.Strong proficiency in Kotlin, with an in-depth understanding of mobile architectures such as MVC/MVVM.Bonus: Experience with Jetpack Compose.Bonus: Familiarity with mobile streaming technologies.

Join Our Team as an iOS EngineerAt Speak, we are on a mission to transform language learning for everyone.Language learning can significantly enhance lives by connecting individuals to new cultures, career opportunities, and communities. With over two billion people globally striving to learn a language, the traditional approach of one-on-one tutoring remains challenging to access at scale and has seen little innovation in recent years. Speak aims to change this by developing a human-level, AI-driven tutor that fits in your pocket—a conversation-first platform that empowers learners to engage in dialogue, receive real-time feedback, and progress through meticulously crafted lessons. Our goal is to provide a complete journey from novice to confident speaker in multiple languages.Launched in South Korea in 2019, Speak has quickly established itself as the leading language learning app, now catering to learners across various markets and offering support for over 15 languages. As a premier AI company, we have secured over $150 million in venture funding from notable investors, including OpenAI, Accel, Founders Fund, and Khosla Ventures. Our diverse team is spread across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About the RoleAs a Mobile iOS Engineer on Speak’s engineering team, you'll play a pivotal role in enhancing our content delivery, conducting A/B testing on monetization features, and facilitating the launch of new markets and languages. You'll work closely with backend engineers, as well as our Product and Design partners, and be responsible for deploying product features to millions of users.Your ResponsibilitiesEnhance the “freemium” experience to boost user conversions.Assist in the launch of new markets and languages.Implement various paywall tests, including pricing strategies, design modifications, delayed paywalls, and special offers.Refine our speech-to-text capabilities.Enhance our audio and video streaming functionalities.Your Qualifications3+ years of experience in mobile engineering, ideally within a dynamic startup environment.Proficiency in Swift, with a solid grasp of mobile architectures such as MVC and MVVM.Bonus: Experience with SwiftUI and mobile streaming technologies.

Join Our Team as a Machine Learning Engineer for AssessmentsAt Speak, we're on a mission to transform the language learning experience.Learning a new language has the power to enrich lives, facilitating connections with diverse cultures, career opportunities, and communities. With two billion people worldwide engaged in language studies, the traditional one-on-one tutoring approach remains challenging to scale and has seen little innovation over the years. Speak is revolutionizing this space by offering an AI-powered, human-like tutoring experience that prioritizes conversation. Our platform allows learners to practice speaking, receive instant feedback, and progress through expertly crafted lessons, ensuring a seamless journey from beginner to confident speaker in multiple languages.Since our inception in South Korea in 2019, Speak has rapidly ascended to become the leading language learning app, serving learners across various markets with 15+ languages. Backed by over $150 million in venture funding from prominent investors such as OpenAI, Accel, and Khosla Ventures, our distributed team spans San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About the RoleWe are seeking a talented Machine Learning Engineer for Assessments to spearhead the development of top-tier assessment systems across our diverse product lines, including Speak for Business and B2C offerings. You will collaborate closely with our Assessment Design Lead, along with teams in Machine Learning, Product, and Engineering, to translate assessment frameworks and rubrics into robust, scalable scoring and feedback systems.This role will encompass the implementation, deployment, and continual enhancement of our assessment algorithms and ML systems. While immediate focus will be on refining and expanding current assessments, the work will also contribute to a foundational capability that can be leveraged across our platform.Your ResponsibilitiesLead the development of assessment ML systems end-to-endDesign, deploy, and maintain scoring models and pipelines (feature extraction, model training, inference, feedback generation).Oversee monitoring, regression tests, and iterative improvements to ensure accuracy standards are met.Establish and implement evaluation frameworksCreate validation and evaluation structures for assessments, incorporating metrics, test sets, and both offline and online analyses.Convert assessment needs into quantifiable acceptance criteria and safeguards.

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.

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.

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.

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.

Join the Bretton AI TeamBretton AI stands at the forefront of innovation in the financial services sector, providing a cutting-edge AI agent platform trusted by industry leaders such as Robinhood, Mercury, and Gusto. Our technology plays a crucial role in automating mission-critical operations, including anti-money laundering and counter-terrorism investigations.With over $95 million raised from prominent investors like Greylock, Y Combinator, and Thomson Reuters Ventures, our headquarters is located in the heart of downtown San Francisco. Our diverse team comprises talent from esteemed organizations such as SpaceX, Google, Netflix, Stripe, and Plaid, bringing together a wealth of expertise to drive our mission forward.Your Role As a Product EngineerWe are seeking talented Product Engineers who are adept at transforming complex customer challenges into streamlined technical solutions. You will take ownership of significant features from the initial concept to deployment, collaborating closely with clients to grasp their needs, architect scalable systems, and deliver code that enhances compliance operations.This position merges deep technical expertise with direct customer impact, enabling you to develop systems that handle thousands of cases, dramatically reduce the workload for compliance teams, and contribute meaningfully to our revenue growth.What You Will CreateDesign user-friendly interfaces for case management, reporting, and analytics.Develop document analysis and verification solutions.Create intelligent workflows that integrate AI tools and data services to facilitate research, enrichment, and verification, while ensuring human oversight for critical reviews.Build customizable tools that empower clients to configure their compliance workflows effectively.Desired QualificationsEssential Skills:4+ years for Engineer / 6+ years for Senior Engineer / 8+ years for Staff Engineer in developing production software.Proficient in full-stack development, encompassing backend services, APIs, databases, and preferably some frontend development.Demonstrated success in delivering customer-facing products where reliability is paramount.A proactive ownership mentality, overseeing projects from requirements gathering to deployment and iterative improvements.Excellent communication abilities, capable of articulating technical decisions to varied audiences.Strong product mindset—understanding the reasoning behind your developments, not just the execution.Preferred Experience:Familiarity with compliance frameworks and regulatory environments.Experience in financial technology or related fields.

teameigen is developing new ways for people to connect, placing AI at the center of its products. The company is based in San Francisco and supported by leaders such as Peter Fenton (Benchmark), David Singleton (former CTO of Stripe), and Gustav Söderström (CEO of Spotify). The team values technical expertise, creativity, and a strong interest in pushing the boundaries of AI. Role overview This Innovative AI Product Engineer position focuses on designing and building frameworks for next-generation consumer AI applications. The work involves both research and hands-on development, with an emphasis on emotional intelligence and relational reasoning in artificial intelligence. The role covers the entire product experience, from context engineering and agent harnesses to memory systems and tooling, always with a strong focus on user experience. What you will do Design and implement foundational frameworks for consumer AI products. Research and develop systems that enhance emotional intelligence and relational reasoning in AI. Take ownership of the product experience, working across the stack and focusing on context engineering, agent harnesses, memory systems, and supporting tools. Who thrives here Enjoys solving complex and ambiguous product challenges independently. Brings strong intuition, product sense, and sound judgment to decisions. Imagines and shapes product experiences, turning concepts into working solutions. Comfortable working across the full technology stack. Continually learns, especially in areas like psychology or sociology. Works with a founder’s mindset, paying close attention to details and outcomes. Communicates clearly and confidently, while remaining open and humble. Familiar with Claude code and Codex tokens. Skilled in Typescript, Python, and building agentic systems. This San Francisco-based role offers the chance to collaborate closely with experienced leaders and peers who are dedicated to building meaningful AI products.