Data Product Operations Lead at David AI | San Francisco

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 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 David AI David AI is an audio data research company focused on building high-quality datasets for audio AI technologies. Founded in 2024 by former engineers and operators from Scale AI, the company has quickly built a client base that includes major FAANG companies and leading AI labs. David AI recently closed a $50 million Series B funding round led by Meritech and NVIDIA. The team values sharp thinking, humility, and ambition, and is growing across research, engineering, product, and operations. The Office of the CEO This team works directly with CEO Tomer, supporting David AI’s growth. The role involves close collaboration with customers, internal teams, and investors. Members of this group act as strategic partners and gain exposure to high-level business decisions and operations. Executive Assistant Role The Executive Assistant will support the CEO and internal teams by managing calendars, handling communications, coordinating travel, and keeping office operations running smoothly. The role also includes involvement in cross-functional projects to help maintain organized and efficient processes as the company scales. Main Responsibilities Organize and execute team events, offsites, and in-office gatherings. Manage communications for the CEO, deciding when to escalate issues or address them directly. Support ad hoc projects across recruiting, legal, finance, and business operations. Oversee complex calendar management, prioritization, and scheduling for both internal and external stakeholders. Plan and coordinate travel logistics for team members and prospective candidates. Manage daily office operations, including vendor relationships and supply management.

About David AIDavid AI is pioneering the field of audio data research, applying rigorous R&D principles to create datasets akin to those utilized by AI laboratories. Our mission is to seamlessly integrate AI into everyday life, leveraging the unique advantages of audio as a medium. As the demand for high-quality training data surges, especially in the evolving landscape of audio AI, David AI is positioned at the forefront of this transformation.Founded in 2024 by a talented group of former Scale AI engineers, we have quickly gained traction, securing partnerships with major FAANG companies and leading AI research labs. Recently, we successfully completed a $50M Series B funding round, attracting investments from esteemed firms like Meritech, NVIDIA, and First Round Capital.Our team embodies sharp intellect, humility, ambition, and a close-knit culture. We invite exceptional minds in research, engineering, product, and operations to join us in our quest to advance the boundaries of audio AI.About our Data Operations TeamThe Data Operations team is the powerhouse behind David AI's Data Factory, dedicated to converting raw audio into premium training datasets for top AI labs. Our focus is on rapidly developing new data pipelines and executing them on a grand scale.This entails initiating from a model capability we aim to unlock, experimenting with diverse data shapes and collection methods, and validating these approaches with researchers. Once a method proves effective, we industrialize it, creating pipelines that process audio data with unwavering reliability, quality, and efficiency. We are relentless operators who excel in dynamic environments, equally adept at prototyping innovative workflows as we are at managing extensive production systems.Your Role as General Manager of Data OperationsIn the role of General Manager, you will oversee a pivotal function within David AI. You will be responsible for a significant segment of our Data Factory, which serves as the engine for generating high-quality, scalable data. Your leadership will guide the team in constructing and expanding pipelines, transitioning from initial experiments that unlock new model capabilities to large-scale industrialization that ensures reliable and efficient data processing.

About David AIDavid AI is pioneering the field of audio data research, merging rigorous R&D methodologies with data development. Our mission is to seamlessly integrate AI into daily life, with audio as the key gateway. As the demand for advanced audio AI grows, the need for high-quality training data becomes critical, and that’s where we excel.Founded in 2024 by former engineers and operators from Scale AI, we’ve quickly attracted leading tech companies and AI labs as our clients. Recently, we secured a $50M Series B funding round from prominent investors including Meritech, NVIDIA, and others.Our dynamic team is composed of talented, humble, and ambitious individuals. We are actively seeking exceptional minds in research, engineering, product development, and operations to join us in advancing the audio AI frontier.About Our Data Operations TeamThe Data Operations team is charged with converting raw audio into high-quality training datasets for some of the top AI labs. Our focus is on creating scalable data pipelines and running them efficiently.We start with the capabilities we want our models to achieve, exploring various data formats and collection strategies, then validating these approaches with researchers. Once a method is effective, we industrialize it by developing reliable pipelines that ensure high-quality audio processing. We are dedicated operators who excel in uncertain environments, equally adept at prototyping innovative workflows and managing large-scale production systems.Position OverviewAs the Director of Operations, you will oversee our data product operations, serving as the driving force behind scalable audio data production. You will lead a diverse team of operators responsible for creating and refining data pipelines, whether through pioneering experiments or scaling proven datasets. As a unifying leader, you will define strategies, navigate trade-offs, and align your team of XX around the company's strategic goals.Key ResponsibilitiesDirect and manage multiple business units, each led by a General Manager, focusing on large-scale audio data pipelines for high-value clients.Oversee the entire execution process from delivery to quality assurance, ensuring the operational excellence of our data services.

Join Plaid, a pioneering force in open finance, where our Product team is dedicated to building robust systems that empower millions of developers and businesses. We define our development strategies, guide their execution, and ensure excellence in delivery. This founding role in Product Operations will directly report to the Head of Business Operations, who is accountable to Plaid’s visionary founder and CEO. As we evolve into a multi-product organization, we are committed to enhancing our Product operations by clarifying priorities, ensuring consistent execution, and delivering superior quality in our product work.As our inaugural Product Operations Lead, you will be responsible for establishing and managing the operational framework for the Product organization. Collaborating closely with teams across Product, Engineering, Design, and Product Marketing, you will develop the systems, processes, and standards that enable teams to consistently execute high-quality work. Your hands-on approach and ability to operate from first principles will be essential in defining a long-term strategy for your area of expertise.

Join Our Innovative Team at David AIDavid AI is pioneering the audio data research landscape. We adopt a rigorous R&D methodology for developing datasets that parallels the standards upheld by leading AI laboratories. Our vision is to seamlessly integrate AI into everyday experiences, with audio serving as the perfect conduit. The evolution of audio AI is rapidly unfolding, yet the availability of high-quality training data remains a critical challenge. This is where David AI steps in.Founded in 2024 by a talented group of former engineers and operators from Scale AI, we have quickly become a trusted partner to numerous FAANG companies and AI research labs. Recently, we secured $50 million in a Series B funding round with notable investors, including Meritech, NVIDIA, and Alt Capital.Our culture is built on sharp intellect, humility, ambition, and a close-knit community. We invite exceptional minds in research, engineering, product development, and operations to join us as we advance the field of audio AI.Research Team OverviewAt David AI, we are convinced that superior model capabilities stem from high-quality, differentiated data. Our research team is dedicated to conducting ambitious, long-term studies into audio technology while collaborating with both internal and external partners to implement cutting-edge research insights into practical applications.Your Role as a Founding Audio AI Research EngineerIn this position, you will establish the research framework that influences how premier AI labs develop their audio models. You will have access to a top-tier team of human AI trainers, robust computing resources, and the autonomy to shape your research agenda.Key ResponsibilitiesCreate and implement comprehensive evaluation frameworks for assessing audio AI capabilities in areas such as speech, emotion detection, conversational dynamics, and acoustic patterns.Investigate and prototype innovative methodologies for audio quality assessment, automated labeling, and optimizing data collection processes.Design focused data collection pipelines aimed at capturing novel, high-value audio capabilities.Develop automated systems for ongoing classifier enhancement and prompt engineering evaluation.Assess cutting-edge models and formulate actionable research strategies.Publish your findings in prestigious conferences.

About ReductoAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unparalleled precision.Much of the vital enterprise data—from financial reports to healthcare records—remains trapped in unstructured formats like PDFs and spreadsheets. Our innovative vision models enable these documents to be read just as a human would, facilitating product development, model training, and process automation on a grand scale.Having achieved remarkable growth, with a 7x year-on-year revenue increase, we proudly serve hundreds of clients, including top AI teams such as Harvey, Vanta, Scale, and major enterprises like FAANG and leading trading firms.With over $100 million raised from premier investors including A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Lead Product Engineer.The RoleAs our Lead Product Engineer, you will be at the forefront of defining and developing features and platforms that drive our customers' essential business workflows. Collaborating closely with our founders and leadership, your mission will be to make document data accessible to everyone—from developers to non-technical users. You will create a comprehensive suite of products that allows clients to extract the data they need from their documents in the formats they require. Your responsibilities will include developing interactive document editors and intuitive interfaces for managing large datasets. In addition to shaping the product roadmap, you will help foster a culture focused on building outstanding products.

About David AIDavid AI is pioneering the field of audio data research, applying rigorous R&D methodologies to create high-quality datasets essential for advancing AI technologies. Our mission is to seamlessly integrate AI into everyday life, leveraging the versatility and accessibility of audio as a medium. With the rapid evolution in audio AI and the increasing demand for effective use cases, we recognize that high-quality training data remains a critical challenge. This is where David AI steps in.Founded in 2024 by a team of former Scale AI engineers and industry operators, we have quickly established a strong client base consisting of major FAANG companies and AI research labs. Recently, we secured a $50 million Series B funding round from top-tier investors including Meritech, NVIDIA, and Amplify Partners, among others.Our team is composed of driven, humble, and collaborative individuals. We are on the lookout for exceptional minds in research, engineering, product development, and operations to join us in pushing the boundaries of audio AI.About Our Engineering TeamAt David AI, our engineers are responsible for constructing the pipelines, platforms, and models that convert raw audio into valuable data insights for leading AI labs and enterprises. We pride ourselves on our tight-knit team of product engineers, infrastructure specialists, and machine learning professionals dedicated to building the world's first audio data research company.We thrive in a fast-paced environment, taking ownership of our work and deploying solutions to production on a daily basis. Our team designs real-time pipelines capable of processing terabytes of audio data and implements state-of-the-art generative audio models.Role OverviewAs a Senior Software Engineer, Platform at David AI, you will collaborate across various product surfaces to architect clean APIs, develop scalable services, and ensure our systems maintain optimal performance while handling petabytes of audio data.Key ResponsibilitiesDesign, build, and maintain production-grade backend services that drive functionality from data collection to customer-facing insights.Take ownership of the architecture and performance of distributed systems that process, transform, and serve audio data at scale.Define and refine internal APIs and service boundaries to accommodate an expanding array of machine learning and product features.Develop resilient, observable, and easily debuggable systems with strong performance characteristics.

About David AIDavid AI is pioneering the audio data research landscape, merging cutting-edge R&D practices with a focus on developing robust datasets essential for advancing AI applications. Our aim is to bridge the gap between AI technology and real-world applications, leveraging the natural and universal medium of audio. In an era where high-quality training data is increasingly crucial, David AI stands at the forefront of this challenge.Founded in 2024 by a team of experts from Scale AI, we have rapidly gained the trust of leading FAANG companies and AI research labs. Recently, we secured a $50M Series B funding round from prominent investors including Meritech, NVIDIA, and Amplify Partners.Our culture is defined by sharp minds, humility, ambition, and a close-knit team. We invite talented professionals in research, engineering, product, and operations to join us as we redefine the future of audio AI.The Growth TeamThe Growth team is essential to David AI's success, tasked with building and nurturing a global network of contributors. This includes a diverse pool of voice actors, linguists, and transcribers to meet our partners' demands effectively and at scale.Role Overview: Growth Operations LeadAs the Growth Operations Lead, you will take charge of our contributor growth strategy. Your responsibilities will include designing acquisition and activation processes, scaling our contributor network across various markets, and ensuring operational efficiency as we grow in volume and complexity.Key ResponsibilitiesManage end-to-end contributor growth: Oversee acquisition strategies, activation methods, retention efforts, and scaling processes.Conduct rapid experimentation: Implement high-velocity tests across different channels, geographical areas, and contributor profiles to identify effective strategies swiftly.Optimize contributor engagement: Refine product and incentive mechanisms to enhance contributor behavior, quality, and retention.Improve conversion rates: Streamline our funnel to boost conversion and repeat engagement.Collaborate with cross-functional teams: Work closely with Product, Operations, and Engineering to develop growth-focused features, tools, and workflows.

As a valued member of the Superhuman team, you will be required to work from our San Francisco Bay Area hub, collaborating in person three days each week.About SuperhumanSuperhuman, enhanced by Grammarly, is a cutting-edge AI productivity platform dedicated to unleashing the superhuman potential within everyone. Our suite of apps and intelligent agents integrates seamlessly with over a million applications and websites, offering tools like Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, our proactive AI assistant that understands context and offers automatic help. Established in 2009, Superhuman empowers more than 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, enabling them to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our values here.Your RoleYou will serve as the operational backbone of Superhuman's Mail division, turning strategic objectives into actionable plans, accelerating decision-making processes, and ensuring the successful implementation of our most impactful initiatives. As a trusted collaborator with the Executive Team, your role will involve fostering alignment, integrating AI efficiencies into our operations, and maintaining peak organizational performance. This position is located in our San Francisco hub and necessitates in-office attendance three times per week.Your ResponsibilitiesManage the Mail Operating System to enhance efficiency and clarityOversee and refine the business unit's operational rhythm (OKRs, business reviews, offsites, weekly forums) to ensure maximum focus and execution speed.Develop systems to provide leadership with real-time insights into business performance (dashboards, scorecards, planning frameworks).Integrate AI into essential workflows — testing and scaling tools that enhance productivity, improve decision-making quality, and minimize manual tasks.Transform data and insights into actionable recommendations that facilitate quicker, higher-quality decisions.Facilitate cross-functional collaboration and execution to guarantee successful project deliveryLead critical cross-functional initiatives as Project Management Officer (PMO) — from scope definition through delivery.

Role: Head of ProductLocation: San Francisco / Bay Area (preferred)About Our Client:Our client is a rapidly growing AI firm dedicated to creating the infrastructure that facilitates seamless collaboration between humans and AI. They are committed to the belief that superior AI systems require exceptional data, which is best sourced from knowledgeable experts who are optimally supported and incentivized.Originally established to foster meaningful engagement for specialists, our client now coordinates teams of experts to enhance AI models' capabilities. They develop systems that empower top-tier experts to provide high-quality data, which AI researchers can utilize effortlessly, allowing partners to create more capable, reliable, and aligned AI systems.Position Overview:Our client is establishing a foundational layer for expert-curated, high-quality data that drives the world’s leading AI models. They are in search of a Head of Product to spearhead product strategy, user experience, and design for the platform that links distinguished experts with cutting-edge AI research.This role suits a systems-oriented product leader capable of scaling products from approximately $1M to over $100M ARR, who possesses a blend of strong product sensibility and in-depth user empathy, and who can adeptly navigate across AI research, expert contributor workflows, and enterprise requirements.You will oversee both expert-facing and customer-facing product interfaces, shaping the processes by which experts onboard, vet, contribute, and maintain quality, as well as how researchers and enterprise customers interact with data delivery systems.Key Responsibilities:Product & Design LeadershipArticulate and drive the comprehensive product vision, user experience, and design for both expert and customer platforms.Lead a diverse team across product management, UX/UI design, and product operations.Foster a product culture rooted in user empathy, innovation, and high standards.Manage prioritization frameworks, roadmap planning, and execution timelines across product categories.User Experience, Interface & Expert EngagementCreate world-class onboarding, vetting, and work interfaces for a global network of experts.Develop systems to ensure expert motivation, fraud detection, and sustained high-quality contributions.

Join David AI as a Product ManagerDavid AI is pioneering the audio data research landscape, harnessing an R&D methodology to develop high-quality datasets that support AI models. Our vision is to seamlessly integrate AI into everyday experiences, with audio serving as the perfect entry point. As the demand for advanced audio AI solutions grows, the necessity for superior training data becomes paramount, and David AI is at the forefront of this evolution.Founded in 2024 by a talented team of former engineers from Scale AI, we’ve quickly established ourselves as a trusted partner for leading FAANG companies and AI labs. Our recent $50M Series B funding round, led by top-tier investors including Meritech and NVIDIA, is a testament to our trajectory and potential.We pride ourselves on our team’s intelligence, humility, and ambition. If you are passionate about research, engineering, product development, or operations, we invite you to contribute to our mission of advancing audio AI.The Product TeamOur Product team operates at the intersection of research, engineering, and operations, crafting audio data products that empower cutting-edge machine learning models. We translate groundbreaking research into scalable and thoughtful data products that prioritize quality, coverage, and clarity for model creators.Your RoleAs a Product Manager on our Product team, you will take charge of the strategy and execution of key components within our audio data portfolio. Collaborating closely with the Research, ML, Engineering, and Operations teams, you will convert model requirements into actionable data roadmaps, quality standards, and deliverables ready for clients.Key ResponsibilitiesSpecialize in areas such as data roadmap expansion, quality metrics, and evaluation based on your interests and background.Lead product strategy and development for audio data offerings, guiding them from research to full-scale production.Convert research insights into specific requirements for data collection, quality assurance, and documentation.Work in partnership with Research, ML, Engineering, and Operations teams to operationalize new datasets and capabilities.Establish metrics and success criteria to prioritize initiatives and evaluate impact across quality, coverage, cost, and speed.

About Retell AI Retell AI builds voice AI technology for call centers, helping thousands of companies handle sales, support, and logistics calls with AI voice agents. Since launching 18 months ago, the company has grown annual recurring revenue from $5M to $50M, backed by investors including Y Combinator and Alt Capital. Our Mission By 2026, Retell AI aims to deliver a customer experience platform powered entirely by AI. The vision goes beyond basic automation: intelligent agents will take on roles as frontline workers, quality assurance analysts, and managers, improving customer interactions while reducing the need for ongoing human involvement. Recognition Ranked among the top 50 AI applications by a16z (a16z List) #4 on Brex's Fast-Growing Software Vendors of 2025 (Brex Benchmark) High placement on the Leana AI Leaderboard Working at Retell AI The team is expanding quickly and welcomes those who want to solve tough problems and help shape the future of voice AI. Retell AI is based in the San Francisco Bay Area and continues to grow as one of the industry's fastest-moving startups.

Midstream builds an AI-driven financial operating system designed for health systems. The platform gives finance, supply chain, and managed care teams real-time insights into at-risk margins, with targeted action plans to protect those margins before they disappear. Founded by experienced entrepreneurs and backed by well-known investors, Midstream focuses on the unique challenges of healthcare finance. By transforming structured, unstructured, and external data into contract-aware insights, Midstream helps teams make informed decisions quickly. AI agents coordinate spending and revenue operations across the back office, learning from every interaction to deliver ongoing intelligence that goes beyond point solutions or short-term consulting. The company is working to speed up healthcare finance, turning processes that once took months into minutes and moving from after-the-fact analysis to proactive planning. Role overview The Product Lead will shape and expand product experiences at Midstream, applying the latest developments in AI and model capabilities. This role connects customer needs with engineering and product development, turning real-world problems into practical solutions. The Product Lead reports to the VP of Product and will own key areas of the roadmap, translating strong market demand into focused, high-quality product delivery. What you will do Work closely with customers and internal teams to identify priorities and guide product direction Develop MVPs quickly and grow them into production-ready features, especially those powered by advanced AI Bridge customer needs, engineering, and product development to deliver solutions that address real challenges Visit customers as needed to stay grounded in actual workflows and decision-making processes What we are looking for Experience leading product development, ideally in AI or data-driven environments Comfort working in an ownership-driven, execution-focused role Ability to collaborate across teams and with customers to deliver impactful solutions Willingness to travel to customer sites when necessary This position is based in San Francisco.

At Blueground, we aim to create a sense of belonging for our guests, no matter where they choose to reside. Our mission is to provide the peace of mind, flexibility, and confidence necessary for our guests to embark on life's adventures.Since our inception in 2013, we have experienced significant growth, having successfully secured over $258 million in funding. Currently, we host guests in more than 50,000 homes across 46 cities worldwide, with ambitious plans to reach 100,000 homes in 100 cities by 2025. Our vision is embodied through our collaborative and inclusive workplace culture that nurtures opportunity for our diverse team of over 1,000 members across 17 countries.We empower our employees with the choice of how they work, whether that be full-time in one of our offices, fully remote, or within a hybrid model.Our core principles guide our operations:Guest-Centric Approach: Every decision is made with our guests in mind, inspiring us to craft exceptional experiences.Agility: We maintain a fast-paced environment, continuously innovating to stay ahead.Transparency: We foster trust through open communication at all levels.Adaptability: We embrace change, enabling us to thrive amid challenges.Ownership: We take pride in our work, ensuring excellence and impactful outcomes in every task.We are seeking an Operations Lead to join our dynamic team in San Francisco, CA. The ideal candidate will possess a keen eye for detail, a proactive attitude, and the ability to manage general maintenance tasks to keep our properties in pristine condition for our guests. This role will primarily involve supporting our Operations Team in preparing new units, ensuring existing units are guest-ready, and addressing any issues or emergencies that may arise, including guest lockouts, furniture replacements, and keeping Operations Managers informed of necessary repairs.Key Responsibilities:Collaborate with Operations Managers to ensure all properties are fully equipped and ready for guest arrivals.Act as the operational frontline for Blueground, ensuring new properties meet our standards while managing maintenance, repairs, and technology issues such as furniture assembly and WiFi troubleshooting.Perform pre-check-in and post-check-out inspections using a mobile checklist to ensure each apartment meets our high standards.

Join Hilbert, a pioneering growth engine that leverages data science to provide B2C teams with predictive insights into user behavior, key revenue drivers, and strategies for sustainable growth. Designed for agility, Hilbert condenses lengthy decision-making processes into mere minutes.Trusted by Fortune 10 enterprises and beloved brands such as FreshDirect, Blank Street, and Levain Bakery, our platform is the backbone of their growth strategies. We are also collaborating with leading AI companies to co-create innovative solutions.We are in search of a Lead AI Engineer who is ready to take charge of the technical direction of Hilbert's AI infrastructure, engage in hands-on development of production-grade systems, and enhance our expanding engineering team with a founder's mindset of ownership and urgency.This position is not about managing from afar; you will be actively coding, making architectural decisions, establishing high standards for quality and speed, and cultivating our engineering culture as we grow. You will be the go-to person for navigating ambiguous challenges, high-stakes situations, and uncharted paths. If you possess a deep technical expertise coupled with strong leadership and communication skills, we would love to connect with you.THE ROLEYou will collaborate closely with the founding team and various departments, including product, data, and go-to-market teams to lead the design, development, and continuous improvement of the AI systems that power Hilbert. You will be deeply involved in coding daily while also defining how we approach development, prioritize tasks, and grow the engineering team. Our environment is characterized by high autonomy and ambiguity, which is inherent in building AI-driven products. Requirements may shift, methodologies can evolve, and the individual closest to the issue will often make the pivotal decisions. As the Lead, it is your responsibility to ensure the team is empowered to make those informed decisions effectively.Build: Hands-on, every dayDesign, build, and maintain AI-powered features and pipelines tailored for enterprise customers at scale.Architect and implement agent-based workflows utilizing frameworks such as LangChain or LangGraph.Take ownership of critical systems from experimentation to production deployment and monitoring.Develop and refine evaluation pipelines to assess, validate, and iterate on AI system performance.Make pragmatic engineering decisions in the face of uncertainty; ship, learn, and iterate.Lead: Set direction and elevate standardsDefine and own the technical roadmap for the AI stack in collaboration with the founding team.Make architectural and infrastructural decisions that drive our AI initiatives forward.

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.

About UsSieve is an innovative AI research laboratory dedicated exclusively to video data. We leverage exabyte-scale video infrastructure and cutting-edge video understanding techniques to create expansive datasets that advance the field of video modeling. With video comprising 80% of internet traffic, it has become a crucial digital medium that drives creativity, communication, gaming, AR/VR, and robotics. Sieve exists to address the critical challenge of providing high-quality training data, which is essential for the growth of these applications.As a testament to our success, we have partnered with leading AI labs and achieved significant revenue growth, generating $XX million last quarter with a compact team of just 15 professionals. Our Series A funding last year was secured from top-tier firms including Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.About the RoleIn your role as the Data Operations Lead, you will be responsible for the daily execution and expansion of Sieve's data operations platform. This position is a blend of operational and semi-technical responsibilities. You will oversee our human workforce, enhance quality assurance processes, manage talent sourcing and onboarding, and spearhead product operations initiatives aimed at optimizing our platform's efficiency. A key focus of this role will be on growth; you will implement campaigns and experiments to broaden the platform's user base, identify new sourcing channels, and drive user adoption. This position is ideal for individuals who are both creators and optimizers—capable of engaging deeply with tools while also strategically considering how to scale complex operational systems.What You'll DoOversee and scale Sieve's internal data operations platform, which includes workforce management, task assignments, and quality assurance workflows.Drive growth initiatives for the platform by executing acquisition campaigns, testing new sourcing channels, and creatively expanding the user base.Recruit, onboard, and manage a distributed human workforce dedicated to data annotation, curation, and quality review processes.Develop and enhance quality assurance processes to guarantee that data outputs align with the standards required by leading AI laboratories.Lead product operations for the data platform by collaborating with engineering teams to implement tooling improvements, track operational metrics, and identify inefficiencies.Create comprehensive documentation, standard operating procedures, and training materials to support the operational framework.