Technical Program Manager for Robotics Data Acquisition

About Our TeamJoin our innovative Robotics team at OpenAI, where we are dedicated to pioneering general-purpose robotics and advancing towards Artificial General Intelligence (AGI) in dynamic real-world settings. Our work encompasses the entire model and systems stack, merging advanced hardware and software to investigate diverse robotic form factors. Our mission is to harmoniously integrate high-level AI capabilities with the practical constraints of real-world systems, ultimately enhancing people’s lives.About This RoleWe are on the lookout for a passionate Operations Manager for Data Acquisition to lead and expand the system that facilitates robotics data collection across OpenAI’s robotics program. This role encompasses our robotic stations, a substantial managed workforce, and our facilities, while our engineering and research teams continuously innovate the platforms and workflows.You will be at the core of this system, ensuring cohesive alignment across research, engineering, operations, and external partners to guarantee that data collection operates reliably and at scale. This is a pivotal ownership role, responsible for ensuring the system functions cohesively, scales across multiple sites, and continuously improves as robotics capabilities advance.To succeed in this role, you will need exceptional cross-domain leadership skills and the ability to coordinate effectively with senior stakeholders, including robotics engineering, software teams, research leaders, operations teams, and external service partners.Key Responsibilities:Oversee the DAQ Operating System:Manage the comprehensive system that supports robotics data collection across stations, workforce, and facilities.Ensure the robotics fleet, station software, workforce execution, and infrastructure function as a unified, dependable system.Establish operating rhythms, decision-making frameworks, and escalation paths to ensure seamless execution.Drive substantial improvements in throughput, reliability, and data quality.Facilitate Cross-Functional Execution:Serve as the primary point of operational alignment among robotics research, engineering, and operations.Clarify priorities, readiness, and constraints to ensure uninterrupted deployments.Guarantee that new platforms, workflows, and capabilities are integrated smoothly into operations.Provide real-world operational feedback to inform engineering and research decisions.

Role Overview zip is hiring a GTM Strategy & Operations Manager focused on Data & Territory Operations in San Francisco. This role shapes go-to-market strategies and supports operational improvements across the business. What You Will Do Work with teams across departments to analyze market data and identify trends Refine and optimize territory assignments to support growth targets Develop and share operational best practices that improve efficiency Contribute insights that guide strategic planning and day-to-day execution Location This position is based in San Francisco.

Overview:Join the dynamic Data Acquisition team at OpenAI, part of our Foundations organization, where you will play a crucial role in the data collection processes that power our model training initiatives. Our team is at the forefront of managing web crawling and GPTBot services, collaborating closely with departments such as Data Processing, Architecture, and Scaling. We are seeking a talented Software Engineer who is passionate about data acquisition and eager to make a significant impact.Key Responsibilities:Lead and innovate engineering projects focused on data acquisition, including web crawling, data ingestion, and search functionalities.Collaborate effectively with cross-functional teams, including Data Processing, Architecture, and Scaling, to ensure seamless data flow and operational efficiency.Partner with the legal team to navigate compliance and data privacy challenges.Design and implement highly scalable distributed systems capable of processing petabytes of data.Architect algorithms for efficient data indexing and robust search capabilities.Build and manage backend services for data storage, including working with key-value databases and ensuring synchronization.Implement solutions within a Kubernetes Infrastructure-as-Code environment and conduct regular system health checks.Conduct experiments and analyze data to derive insights that enhance system performance.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related field.4+ years of professional software development experience.Familiarity with large-scale web crawlers is a plus.Deep understanding of large stateful distributed systems and data processing methodologies.Proficient in Kubernetes and knowledgeable about Infrastructure-as-Code principles.Eager to explore and implement new technologies and approaches.Proven ability to manage multiple tasks and adapt to shifting priorities.Excellent written and verbal communication skills.About OpenAI:At OpenAI, we are pioneers in AI research and deployment, dedicated to ensuring that the advancements in artificial intelligence benefit humanity as a whole. Our mission is to push the boundaries of AI capabilities while adhering to safe and responsible deployment practices. Join us in our commitment to harnessing the power of AI for positive global impact.

Senior Software Engineer - Data AcquisitionOverview:Join the dynamic Data Acquisition team at OpenAI, where we spearhead the data collection efforts essential for powering our advanced model training operations. Our team plays a pivotal role in managing web crawling and GPTBot services, collaborating closely with Data Processing, Architecture, and Scaling teams. We are seeking a talented Senior Software Engineer to enhance our Data Acquisition initiatives.Key Responsibilities:Lead engineering projects focused on data acquisition, including web crawling, data ingestion, and search optimization.Collaborate effectively with cross-functional teams to maintain seamless data flow and system performance.Engage with the legal team to navigate compliance and data privacy regulations.Design and implement robust distributed systems capable of processing petabytes of data.Develop algorithms for efficient data indexing and search functionalities.Build and sustain backend services for data storage, including experience with key-value databases and data synchronization.Deploy solutions in a Kubernetes Infrastructure-as-Code environment while conducting regular system audits.Conduct experiments on data to derive insights that drive system enhancements.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related discipline.A minimum of 6 years of professional experience in software development.Prior experience with large-scale web crawlers is a significant advantage.In-depth knowledge of large stateful distributed systems and data processing techniques.Expertise in Kubernetes and familiarity with Infrastructure-as-Code practices.A proactive approach to exploring new technologies and methodologies.Strong ability to juggle multiple tasks and adapt to changing priorities.Excellent communication skills, both written and verbal.About OpenAI:OpenAI is at the forefront of artificial intelligence research and deployment, dedicated to ensuring that the benefits of general-purpose AI are shared by all of humanity. We strive to push the boundaries of innovation while adhering to ethical standards.

Join Our Team at Pareto.AIAt Pareto.AI, we are dedicated to empowering exceptional talent globally to engage in the creation of innovative AI models. Our vision is to leverage AI to revolutionize the workplace, generating thousands of new training opportunities for skilled professionals worldwide.We collaborate with esteemed AI research and crowd-sourcing leaders, including Anthropic, Character.AI, Imbue, Stanford, and the University of Pennsylvania, to establish a fair and ethical ecosystem where AI developers and domain specialists can unite to craft customized AI models.Position OverviewWe are seeking a Technical Partnerships Lead who will be responsible for devising and implementing a comprehensive strategy for data acquisition that supports the training of advanced AI models. This pivotal role bridges AI research, partnership building, and business growth; you will collaborate closely with our technical teams to define our data needs and strategize on procurement methods.This is a unique role demanding a blend of technical expertise to discern high-quality training data for cutting-edge AI systems, along with innovative problem-solving skills to source data from diverse origins: research institutions, niche startups, enterprises, and specialized communities. The ideal candidate will be enthusiastic about the quest for complex, realistic datasets in unconventional venues—someone who can strategically identify valuable data sources, cultivate trust across varied industries, and execute with determination.If you excel at merging technical depth, inventive sourcing strategies, and operational excellence, we want to hear from you!

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.

Join Sagetap as a Sage Acquisition Manager!At Sagetap, we are revolutionizing the way enterprise technology executives discover and evaluate software through our innovative AI-driven platform. We connect tech buyers with credible technology vendors, ensuring they can make informed decisions without the typical sales pressure.Our dynamic startup is backed by renowned investors like NFX Ventures, Uncorrelated Ventures, and Emergent Ventures. We are dedicated to transforming the software discovery process for senior tech leaders, facilitating meaningful connections within a supportive environment.As a close-knit and fast-paced team, we value curiosity, transparency, and impactful contributions. If you are driven, results-oriented, and eager to thrive in an early-stage startup, come help us redefine technology purchasing at Sagetap!Key Responsibilities:Manage Sage Sourcing & Top-of-Funnel PipelineDevelop and oversee a robust pipeline of high-quality executive candidates (“Sages”).Identify and prioritize target executive profiles, including CIO, CTO, CISO, VP Security, Head of AI, and more.Formulate sourcing strategies utilizing LinkedIn and other channels.Ensure a steady stream of qualified Sage applications.Enhance Qualified Inflow:Craft personalized outreach to senior technology leaders.Effectively communicate Sagetap’s unique value proposition.Verify that applicants meet our role, industry, and seniority criteria.Collaborate with internal stakeholders to refine qualification benchmarks.Optimize Targeting & Outreach EfficacyContinuously test and refine outreach methods to improve performance.

About CoreWeave:CoreWeave stands as The Essential Cloud for AI™, specifically crafted by pioneers for pioneers. Our powerful platform equips innovators with cutting-edge technology, essential tools, and unparalleled support, enabling them to build and scale AI solutions confidently. Trusted by top AI research labs, emerging startups, and global enterprises, we merge advanced infrastructure performance with extensive technical knowledge to drive breakthroughs and transform computational capabilities. Since our founding in 2017, we have become a publicly traded entity (Nasdaq: CRWV) as of March 2025. To learn more, visit www.coreweave.com.Your Role:Join our DC Program and Cost Management team, the powerhouse behind operational planning for all data center projects. As a Data Center Operations Cost Manager, you will take charge of the entire cost management lifecycle, from initial feasibility studies to final project closeout. Your main duties will include:Leading pre-construction budgeting and detailed cost modeling to maximize capital efficiency.Implementing and enforcing financial controls alongside leadership reporting mechanisms.Developing and maintaining comprehensive program-level cost forecasts across various projects and regions.Providing detailed cost estimates and commercial risk assessments to guide location strategy and investment decisions.Benchmarking construction costs, escalation trends, and market rates across different regions to keep our cost intelligence sharp.Managing both internal cost control resources and external cost consultants to ensure consistency and excellence in execution.Who You Are:7+ years of experience in cost management, including construction cost planning and analysis.5+ years of direct experience in data center deployment, infrastructure project implementation, or cost management within data center environments.Demonstrated expertise in financial forecasting and budget management.

Overview:Join the innovative Data Acquisition team at OpenAI, where we drive the future of AI through advanced data collection techniques. Our mission is to support model training operations by managing web crawling and the GPTBot services. Collaborating with Data Processing, Architecture, and Scaling teams, we are on the lookout for a talented Full-Stack Engineer to enhance our data infrastructure. In this role, you will create and optimize the tools and interfaces that are crucial for our data operations.Responsibilities:Design, develop, and maintain full-stack applications tailored for data acquisition, including internal tools and comprehensive dashboards.Work collaboratively with cross-functional teams, such as Data Processing, Architecture, and Scaling, to facilitate efficient data ingestion and workflow management.Craft and implement APIs that streamline data interactions between internal systems and external data sources.Enhance user experience by creating intuitive web-based interfaces for effective management and monitoring of data pipelines.Optimize backend services focusing on performance, scalability, and security within a distributed computing framework.Collaborate with legal and compliance teams to ensure our data acquisition practices meet privacy regulations and adhere to industry best practices.Deploy and maintain infrastructure leveraging Kubernetes and Infrastructure-as-Code (IaC) methodologies.Analyze system performance, conduct thorough experiments, and refine data workflows to drive operational efficiency.Qualifications:Bachelor's, Master's, or PhD in Computer Science or a related discipline.4+ years of professional experience in full-stack development.Expertise in frontend frameworks (e.g., React, Vue) as well as backend technologies like Python, Node.js, or Go.Strong command of RESTful APIs, GraphQL, and database design (both SQL and NoSQL).Experience in developing data-intensive applications capable of managing large-scale datasets.Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker).Previous experience in web crawling and large-scale data processing is advantageous.Exceptional problem-solving abilities and adeptness at juggling multiple tasks in a dynamic environment.Outstanding communication and collaboration skills.

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.

As the Senior Manager of People Operations at Baseten, you will play a pivotal role in shaping our company culture and driving employee engagement. You will lead a team focused on developing and executing innovative people strategies that align with our business objectives. Your expertise will drive initiatives in talent acquisition, employee development, and performance management, ensuring that we attract and retain top talent in a competitive market.

Okta builds secure, neutral infrastructure to help organizations manage identity and AI challenges. The company values decisive leaders who deliver results and tackle complex, real-world problems. The Senior Manager of Recruiting Operations leads Okta’s global recruiting operations from San Francisco. This role partners with Talent Acquisition, Human Resources, Finance, and other teams to improve hiring efficiency, enable better decision-making, and create a positive experience for candidates, interviewers, and hiring managers. As Okta grows, this position plays a central part in shaping and scaling the recruiting function. The Senior Manager designs and rolls out programs, processes, and strategies to support consistent, high-quality hiring across the company. Success depends on a systems mindset, data-driven improvements, and a drive for operational excellence. Key responsibilities Develop and refine scalable recruiting processes for global teams to support efficient, high-quality hiring Design and implement a streamlined recruiting coordination process Spot bottlenecks in the hiring lifecycle and drive ongoing improvements for greater efficiency and consistency Set operational rhythms, service level agreements (SLAs), and performance standards for recruiting teams Lead change management efforts to introduce new processes and ensure adoption across regions and functions

COMPANY OVERVIEWKKR & Co. Inc. is a premier global investment firm that specializes in alternative asset management, capital markets, and insurance solutions. Our mission is to achieve compelling investment returns by adhering to a patient and disciplined investment strategy, employing top-tier talent, and fostering growth within our portfolio companies and communities. We sponsor investment funds that focus on private equity, credit, and real assets, and have strategic partnerships managing hedge funds. KKR’s insurance subsidiaries provide a range of retirement, life, and reinsurance products through Global Atlantic Financial Group.POSITION SUMMARYWe are seeking an enthusiastic Investment Data Operations Analyst to join our dynamic data management team within the Global Data Operations division. This role is positioned within the Investment Data Operations (IDO) team and plays a critical role in supporting our enterprise, with a primary focus on Credit and Insurance strategies.This position is based in San Francisco and reports directly to the VP of Investment Data Operations.The ideal candidate will possess foundational experience in security master and daily pricing operations, particularly with debt instruments and bank loans. This is a hands-on, execution-oriented role that prioritizes accurate asset setup and daily pricing controls while providing opportunities for involvement in broader data initiatives over time.We are looking for someone with 1-3 years of experience in investment operations, ideally within an alternative investment firm, insurance company, or fund administrator. A solid understanding of middle- and back-office workflows is essential, especially regarding how security master and pricing data influence accounting, risk, and reporting processes.Successful candidates will be detail-oriented, thrive in a fast-paced environment, and be willing to engage deeply with operational workflows. An ability to independently investigate and resolve data issues is crucial. Technological curiosity, particularly in SQL-based environments and a desire to leverage automation and AI tools to enhance operational efficiency, will set candidates apart. Strong communication skills and a collaborative mindset are essential for effective teamwork across our global teams.We are committed to operational excellence and providing our investment and business operations colleagues with high-quality, reliable data to facilitate investment execution across the firm. Our small, collaborative teams operate within a global investment platform, offering meaningful exposure, learning opportunities, and pathways for long-term career development.

Join Hive as a Talent Acquisition Manager, where your expertise in recruiting will drive our mission to innovate. You will lead our recruiting team, ensuring an exceptional candidate experience while collaborating closely with internal stakeholders to achieve both short-term and long-term hiring goals. Your strategic vision and commitment to team building will be pivotal as we scale our operations and create a dynamic workforce. If you are passionate about talent acquisition and want to shape the future of AI, we want to hear from you!

As a Product Operations Manager at Windfall Data, located in the heart of San Francisco, you will play a pivotal role in our dynamic team, reporting directly to the VP of Product. This unique 'player/coach' position requires you to balance your individual contributions with the leadership of a small team of Product Operations Analysts. You will collaborate closely with engineering, data science, and customer success teams to enhance internal processes, generate insightful analyses, and effectively communicate your findings through well-crafted presentations.This position offers an excellent opportunity to refine your management and analytical abilities while working alongside a talented group of Analysts, Data Scientists, and Engineers. Your contributions will have a meaningful impact, supporting non-profit organizations in exceeding their fundraising goals and enabling commercial enterprises to achieve higher returns on their marketing investments.At Windfall Data, our mission is to transform how organizations utilize people data. We are guided by our core values: (1) Communicate excellently; (2) Operate transparently; (3) Provide leverage, not just optimization; (4) Make a difference daily; and (5) Act with integrity and trust.

At Inkitt, we aspire to be the Disney of the 21st Century, leading the way in the realms of technology and entertainment. By utilizing cutting-edge AI and predictive algorithms, we uncover undiscovered narratives and transform them into major successes, producing a new $1M ebook every month and directly selling to consumers via our Inkitt platform. Ranked as the 11th most successful publisher globally, we enjoy a 40x greater hit-rate compared to traditional publishing methods. With our recent Series C funding round backed by prestigious VCs like Khosla Ventures, Kleiner Perkins, and NEA Ventures, we are excited to embark on our journey as a next-generation entertainment powerhouse, with our recent venture into CandyJarTV marking just the beginning.This is a hybrid role based in San Francisco, requiring 3 days per week onsite at our South Park office. Candidates must be able to reliably commute to the office on Tuesdays through Thursdays.

At Mercury, we are revolutionizing the banking experience for ambitious companies. Our innovative financial platform is supported by a robust data system that users can trust.As we continue to scale, our revenue systems produce a wealth of information: insights from both remote and in-person engagements, automation tools, product usage metrics, lifecycle events, and analytics pipelines. Transforming this activity into clear and actionable intelligence—without fragile pipelines or the need for constant rework—is essential to our growth strategy.We are seeking a Data Strategy & Operations Lead to take charge of the data foundations that drive our revenue execution. This pivotal role will ensure that our revenue data remains reliable, interpretable, scalable, and actionable as our business evolves, empowering teams to make confident decisions based on data.In this position, you will report directly to the Head of Platforms & Infrastructure and will play a key role in shaping how Mercury models, governs, and operationalizes go-to-market (GTM) data. You will collaborate closely with teams in Data Engineering, Data Science, Solution Architecture, and Platform Engineering.

Join MaintainX, the premier Asset and Work Intelligence platform tailored for industrial and frontline environments. Our cutting-edge IoT-enabled, cloud-based solution enhances reliability, safety, and operational efficiency for physical equipment and facilities. Trusted by over 13,000 businesses, including industry leaders like Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, we drive operational excellence across the globe. Following a successful $150 million Series D funding round, totaling $254 million, our company is now valued at an impressive $2.5 billion. As the AI Manager of Growth & Acquisition, you will spearhead the next generation of AI-driven marketing strategies. Embedded within our Growth Marketing team, this pivotal role emphasizes front-end growth mechanisms—such as content, targeting, and audience segmentation—while collaborating with Paid, SEO, and Lifecycle teams to implement transformative AI capabilities. The ideal candidate will possess a unique blend of technical AI/ML expertise and a keen sense of growth marketing, enabling rapid testing, deployment, and scaling of acquisition strategies that enhance pipeline efficiency.

Join Planet Labs PBC as a Senior Manager of Talent Acquisition and lead our efforts in attracting top-tier talent to drive our innovative mission forward. In this pivotal role, you will oversee the entire talent acquisition process, from strategizing recruitment initiatives to managing a dynamic team of recruiters. You will collaborate closely with department heads to understand hiring needs and ensure a seamless candidate experience.As a key player in our HR department, you will utilize data-driven approaches to improve recruitment metrics and build a robust talent pipeline. Your passion for fostering an inclusive workplace will be essential in promoting our company culture while meeting our growth objectives.