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 LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates your email, calendar, and meetings into an organized platform. It captures every interaction and transforms it into actionable insights, tasks, accounts, and follow-ups, ensuring that nothing is overlooked.We are revolutionizing the CRM landscape from the ground up. Rather than imposing rigid structures on teams, Lightfield adapts to how businesses naturally operate, automating processes and highlighting insights that foster growth. We are crafting the CRM platform of our dreams: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team has a rich history of building impactful products, including Tome, a generative AI presentation tool embraced by over 25 million users. Our collective experience spans companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a skilled, innovative, and adaptable engineer excited to take on the challenge of designing, developing, and scaling the foundational infrastructure and systems that power Lightfield's AI-enhanced CRM.At Lightfield, engineers take full ownership of projects from ideation to execution, collaborating across various functions and pushing the boundaries of what is achievable in applied AI and data systems. You will play a pivotal role in crafting and constructing the data models and infrastructure that support a next-generation CRM, ensuring optimal performance, scalability, and resilience.What You'll DoDevelop and sustain full-stack systems, ensuring reliability, scalability, and robust performance.Architect and enhance the data infrastructure and backend services that drive Lightfield's AI-powered CRM.Design and refine data models to facilitate CRM workflows, customer interactions, and AI-derived insights.Create observability and metrics frameworks to promote seamless operations, proactive issue detection, and ongoing enhancements.Guide colleagues, engage in code reviews, and contribute to shaping the engineering culture and best practices.Play a key role in cultivating a top-tier engineering team through recruitment, mentorship, and knowledge exchange.Who You ArePossess 3+ years of software development experience, with a solid foundation in infrastructure, data modeling, and backend systems.Demonstrate extensive experience in designing scalable, high-performance systems.

About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...

About LightfieldLightfield is a groundbreaking AI-powered CRM that dynamically organizes your email, calendar, and meeting interactions. By capturing every engagement, it transforms them into actionable insights: accounts, tasks, follow-ups, and critical context, ensuring that nothing is overlooked.We are revolutionizing CRM from the ground up. Rather than constraining teams with inflexible systems, Lightfield evolves through understanding how businesses truly operate, automating processes, and revealing insights that foster growth. We are dedicated to creating the CRM platform of our dreams: quick, smart, and genuinely supportive.Backed by renowned investors including Greylock, Lightspeed, and Coatue, our team has a rich history of innovation, having previously developed Tome, a generative AI presentation tool that serves over 25 million users. Our diverse backgrounds include experience with Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are in search of a talented, imaginative, and adaptable Full Stack Engineer who is excited about the opportunity to create scalable, high-performance features and systems that provide exceptional AI product experiences.At Lightfield, our engineers take on projects from concept to realization, collaborating interdepartmentally to push the boundaries of applied AI systems development. You will partner with a skilled team to deliver industry-leading solutions and help shape the future of Lightfield's product and technical vision.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and execute solutions.Develop and manage full-stack product features and systems from end to end, ensuring reliability, scalability, and performance.Create observability metrics to facilitate seamless operations, proactive issue resolution, and ongoing enhancements.Guide and mentor team members, engage in code reviews, and contribute to cultivating our engineering culture and practices.Play a role in building a world-class engineering team through recruitment, mentorship, and knowledge sharing.Your QualificationsA minimum of 3 years of software development experience, with a solid foundation in both front-end and back-end technologies.Proven experience in building scalable, high-performance systems capable of managing complex customer workflows and extensive data processing.A keen interest in Large Language Models (LLMs) and their applications in real-world scenarios.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates information from your email, calendar, and meetings. It captures every interaction, transforming it into organized context—managing accounts, tasks, follow-ups, and insights—so that nothing is overlooked.We are redefining CRM from the ground up. Rather than forcing teams into rigid frameworks, Lightfield adapts to the real working styles of companies, automating processes and revealing insights that drive growth. Our vision is to build the CRM platform that we always wanted: fast, intelligent, and genuinely supportive.Supported by prominent investors like Greylock, Lightspeed, and Coatue, our team previously developed Tome, a generative AI presentation tool that has gained over 25 million users. Before Tome, many of us were part of the teams behind Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleLightfield is on the lookout for a proactive Infrastructure Tech Lead to help scale our platform during a period of rapid growth and increasing customer demand. Following our successful exit from private beta, we have witnessed strong adoption from hundreds of businesses joining weekly, including larger teams leveraging our product for mission-critical operations.As we scale our customer base and data volumes surpass initial expectations, our infrastructure is entering a new phase. This role will be pivotal in ensuring that our platform remains fast, reliable, and resilient as Lightfield advances into larger enterprise applications.This is not a position focused on building a team immediately; rather, it offers a high-impact chance for an experienced infrastructure engineer to dive in, tackle core scaling challenges, and help shape the foundational architecture of our system.Your ResponsibilitiesEnhance the reliability and performance of Lightfield's infrastructure as we accelerate customer growth.Lead initiatives to minimize database latency and optimize Postgres performance for high-volume workloads.Elevate operational maturity across the stack, focusing on observability, incident response, and production readiness.Develop scalable systems and infrastructure methodologies to accommodate larger clients and growing usage.Collaborate closely with product and engineering leadership to prioritize critical infrastructure tasks at every growth stage.Contribute to defining the long-term infrastructure roadmap, with the opportunity to influence future team structure and technical direction.

Join the Lightfield TeamAt Lightfield, we are revolutionizing the CRM landscape with our AI-native platform that seamlessly integrates your email, calendar, and meetings. Our innovative solution captures every interaction, transforming it into organized insights—accounts, tasks, follow-ups, and much more—ensuring nothing falls through the cracks.We are committed to reimagining CRM from the ground up. Rather than imposing rigid systems, Lightfield adapts to the actual workflows of companies, automating processes and providing actionable insights that catalyze growth. We are creating the CRM solution we envisioned: fast, intelligent, and genuinely beneficial.Supported by esteemed investors like Greylock, Lightspeed, and Coatue, our team is composed of veterans from Tome, a generative AI presentation tool used by over 25 million people, as well as industry giants like Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.Your RoleAs a pivotal member of Lightfield's AI/ML team, you will spearhead the development of experiences that sit at the heart of our product, crafting applications that truly impress our customers.The current focus is on constructing a robust, domain-specific AI that excels beyond generic large language models (LLMs). We are excited by the challenge of innovating new AI products that empower professionals in their endeavors, and we are eager to expand our AI/ML team to meet this ambition.Key ResponsibilitiesLead the creation of machine learning product development infrastructure, emphasizing scalability and innovation in collaboration and versioning, particularly for LLM training and prompting.Develop and sustain a platform utilized by various teams working on ML products, guaranteeing its scalability, efficiency, and user-friendliness.Work closely with internal teams to integrate ML solutions and establish best practices for software engineering in an AI-focused development environment.Contribute to building a top-tier AI/ML engineering team by recruiting and mentoring new talent.Tackle and resolve complex technological challenges in software engineering at scale, particularly related to AI systems.Who You AreYou possess a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related field.You have over 6 years of experience in software engineering, with a specialization in ML infrastructure.You demonstrate a robust understanding of deep learning frameworks and cloud services.

Join our dynamic team at Lightfield as a Staff Engineer specializing in Backend Systems. We are looking for a passionate engineer who thrives in a fast-paced environment and is eager to innovate and contribute to the design and implementation of our backend architecture. You will collaborate closely with cross-functional teams to deliver high-quality solutions that enhance our products and services.

About LightfieldLightfield is an innovative AI-driven CRM that intuitively organizes your communications from email, calendars, and meetings. It captures every interaction, transforming them into structured contexts: accounts, tasks, follow-ups, and insights, ensuring nothing is overlooked.Our mission is to revolutionize CRM by focusing on the natural workflows of teams rather than imposing rigid structures. Lightfield learns from actual business practices, automating processes and surfacing insights that fuel growth. We are developing the CRM platform we've always envisioned: rapid, intelligent, and genuinely supportive.Supported by prestigious investors such as Greylock, Lightspeed, and Coatue, our team boasts a rich history of innovation, having previously created Tome, a generative AI presentation tool embraced by over 25 million users. Many of us have also contributed to major platforms including Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAt Lightfield, we aim to become the most valuable and impactful company in go-to-market technology. To achieve this, we are recruiting a distinguished go-to-market team to establish our leadership in the CRM space, starting by collaborating with pioneering early-stage companies.We seek a Community Lead who will energize the early-stage founder ecosystem around Lightfield, fostering a vibrant network both online and in-person, centered at our San Francisco headquarters. This role will report directly to our Head of Go-To-Market.What You'll DoBuild and Lead the Lightfield Founder Community. Identify, invite, and nurture relationships with exceptional early-stage founders who are passionate about go-to-market strategies, emphasizing the development of deep, authentic connections.Execute Engaging In-Person Events. Design and implement events that founders genuinely want to join, including gatherings at our San Francisco HQ and activations at third-party trade shows.Create Sustainable Community Programs. Develop structured initiatives such as founder circles, GTM clinics, or “launching your first outbound strategy” cohorts, refining them based on what produces tangible results for participants.Enhance and Manage Our Founder Slack Community. Transform Slack into a thriving peer network where founders exchange go-to-market inquiries, successes, and best practices. Foster discussions, facilitate introductions, and highlight impactful conversations.Transform Conversations into Valuable Content. Capture insights from events and Slack interactions, converting them into engaging content (articles, videos, templates) that illustrate how top founders navigate modern go-to-market strategies.

About LightfieldLightfield is a revolutionary AI-native CRM that seamlessly integrates with your email, calendar, and meetings. It meticulously captures every interaction, transforming it into well-organized context, including accounts, tasks, follow-ups, and insights, ensuring that no detail is overlooked.We are redefining the CRM landscape from the ground up. Rather than compelling teams to adhere to inflexible systems, Lightfield intelligently adapts to how companies operate, automating processes and surfacing insights that foster growth. We are crafting the CRM platform we've always envisioned: fast, intelligent, and genuinely beneficial.Supported by esteemed investors such as Greylock, Lightspeed, and Coatue, our team previously developed Tome, a generative AI presentation tool utilized by over 25 million people. Before Tome, many of us contributed to the success of Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe have successfully launched a product that founders adore, with nearly 2,000 companies registering since our debut in November. We are now poised to establish our first direct sales strategy. With strong product-led growth in self-service, we need an individual who can transform that momentum into significant $20K+ contracts with Series A/B startups.This position is foundational. You will not inherit an established playbook or team, but you will be presented with genuine demand. We have a growing number of multi-seat accounts, engaged teams, and high-intent signals ready to be harnessed. The pipeline is established; we require someone capable of converting it. You will leverage our product-led growth data to identify high-potential accounts, complementing it with targeted outreach to VC-backed startups, managing the complete sales cycle from initial meetings through to closing.You will report directly to the Head of GTM. Initially, you will oversee the entire sales process—crafting discussion points, developing pilot frameworks, and finalizing deals. As we scale into larger markets, you will play a key role in shaping the future of our sales organization.What You'll DoManage the complete sales cycle. Conduct discovery, demonstrations, pilot programs, and close deals ranging from $20K to $50K with 30-day cycles. Your clients will include VP Sales, RevOps leaders, and technical founder-CEOs at startups with 20–250 employees.Enhance our existing pipeline and build upon it. We have numerous active accounts with team adoption, multi-seat usage, and indications of CRM migration. You will enrich and prioritize this existing base while layering targeted outreach to Series A/B portfolios to achieve 3–4x pipeline coverage.Develop the sales playbook. Create pilot templates, mutual action plans, and collateral that will serve as the foundation for the team that follows.

About LightfieldLightfield is an innovative AI-driven CRM that seamlessly integrates with your email, calendar, and meetings. Our platform captures every interaction and organizes it into valuable insights, accounts, tasks, and follow-ups, ensuring that no detail is overlooked.We are revolutionizing CRM by focusing on the actual workflows of organizations. Rather than forcing teams to adhere to rigid systems, Lightfield intelligently learns and adapts, automating processes and providing actionable insights that fuel growth. We are building the CRM solution we always wanted: rapid, intelligent, and genuinely supportive.Our team is backed by prominent investors including Greylock, Lightspeed, and Coatue, and has a proven track record, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Our members have extensive experience, having contributed to projects at Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleWe are seeking a dynamic, creative, and adaptable engineer who is passionate about crafting scalable, high-performance features and systems that offer cutting-edge AI product experiences.At Lightfield, engineers play a crucial role in project ownership from conception to execution, working collaboratively across various functions and pushing the boundaries of what is achievable in applied AI system development. You will partner with a talented team to provide industry-leading solutions while contributing to both the product and technical vision of Lightfield.Your ResponsibilitiesWork closely with product leaders to identify customer challenges, define requirements, and implement effective solutions.Design and maintain full-stack product features and systems from inception to deployment, ensuring they are reliable, scalable, and performant.Create observability tools and metrics that facilitate smooth operations, proactive issue detection, and ongoing improvement.Provide mentorship to team members, engage in code reviews, and help cultivate a strong engineering culture and best practices.Contribute to the development of an exceptional engineering team through recruitment, mentorship, and knowledge sharing.Your ProfileYou are enthusiastic about Large Language Models (LLMs) and eager to build systems that harness their capabilities.You are quick to adapt to a tech stack featuring TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.You possess solid software engineering fundamentals and are ready to tackle challenging problems.

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 LightfieldAt Lightfield, we are pioneering the future of CRM with our AI-native platform that seamlessly integrates with your email, calendar, and meetings. Our innovative solution captures every interaction, transforming it into structured context, including accounts, tasks, follow-ups, and insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by employing a flexible approach that adapts to how teams operate, rather than imposing rigid systems. Lightfield continuously learns, automates processes, and surfaces valuable insights that fuel growth. We are dedicated to creating a CRM platform that is not only fast and intelligent but also genuinely helpful.Our team is backed by prestigious investors like Greylock, Lightspeed, and Coatue, and has a rich history in building successful products, including Tome, a generative AI presentation tool utilized by over 25 million users. Our collective experience spans notable companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleJoin our dynamic AI/ML team at Lightfield, where we are developing the core experiences of our product through cutting-edge applications that amaze our customers. We are currently focused on creating a robust, domain-specific AI that surpasses conventional LLMs.We thrive on the challenge of crafting innovative AI solutions for professionals engaged in significant work, and we're eager to expand our AI/ML team to rise to this challenge.Your ResponsibilitiesDesign and deliver extraordinary AI experiences that empower sales teams.Collaborate closely with founders and executives to shape Lightfield's AI/ML strategy.Lead the training of new models utilizing both historical and synthetic training data.Develop and prototype innovative LLM-driven experiences, transforming them into robust product features.Contribute to building a top-tier AI/ML engineering team through recruitment and mentorship.Your Profile5+ years of industry experience in Natural Language Processing (NLP) with a strong portfolio of model training.Solid understanding of deep learning AI/ML frameworks and cloud services.Hands-on experience in ML Operations (ML Ops).Deep expertise in NLP and model training, particularly with Large Language Models (LLMs).Demonstrated ability to adapt open-source generative models for specific applications, with a comprehensive understanding of their architecture.

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 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.

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 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.

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.