Staff Software Engineer - Data Products

About WatershedWatershed is an innovative enterprise sustainability platform empowering organizations like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens to effectively manage climate and ESG data. Our platform delivers audit-ready metrics for both voluntary and regulatory reporting, including CSRD, and actively drives meaningful decarbonization efforts…

Join DoorDash as a Staff Software Engineer specializing in Data Engineering, where you will play a critical role in designing and implementing data solutions that drive business insights and enhance operational efficiency. You will collaborate with cross-functional teams to create robust data pipelines and leverage cutting-edge technology to manage large-scale datasets.

About Us:At Ambience Healthcare, we are pioneering an AI intelligence platform that brings a human touch back to healthcare, enabling health systems nationwide to achieve impressive returns on investment.Our innovative technology allows healthcare providers to concentrate on what matters most—their patients—by alleviating the administrative workloads that detract from their essential tasks. Ambience provides real-time, coding-aware documentation alongside clinical workflow support across various settings, including ambulatory, emergency, and inpatient care, at the leading healthcare institutions across North America.Our teams work with unwavering determination and a sense of ownership to create the best solutions for our health system partners. We value openness, positivity, and thoughtful engagement, and we hold each other to high standards because we understand the significance of the challenges we're tackling.Ambience has been recognized as the top firm for enhancing clinician experiences in the KLAS Research Emerging Solutions Top 20 Report, celebrated by Fast Company as one of the Next Big Things in Tech, acknowledged by Inc. as one of the best AI companies in healthcare, and named a LinkedIn Top Startup in 2024 and 2025. We are proud to be backed by Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins—and we are only beginning our journey.The Role:As a Staff Software Engineer on the AI Platform team, you will be instrumental in designing, building, and maintaining the core infrastructure that supports healthcare providers using our platform daily in their patient care efforts. Being part of the OpenAI portfolio means you will work alongside some of the industry's foremost experts in AI and gain exposure to the latest advancements in technology.In the initial six months, you will lay the groundwork for long-term success by enhancing platform observability, reliability, and scalability. As a technical leader, you will oversee the entire lifecycle of significant technical projects within our AI stack, from system design to the deployment of your code.Our engineering positions operate in a hybrid model, requiring presence in our San Francisco office three days a week.What You’ll Do:Design and architect key product features using the latest AI advancements to create a seamless user experience.Proactively identify potential system bottlenecks and re-architect critical components before they impact our clients.Lead strategic product initiatives that enhance iteration speed while maintaining quality and reliability.

Join Pinterest as a Senior Staff Software Engineer on our Data Product Platform team. In this role, you will leverage your expertise in software engineering to contribute to our innovative data products that power Pinterest’s vision to bring everyone the inspiration to create a life they love. You will work collaboratively with cross-functional teams to design and develop scalable data solutions that provide significant value to our users.

About Watney RoboticsAt Watney Robotics, we are pioneers in developing autonomous robotic solutions aimed at enhancing critical infrastructure. Recently securing $21 million in seed funding from leading investors such as Conviction, Abstract, and A*, we are collaborating with the world’s largest hyperscalers to propel the expansion of data centers and streamline maintenance processes.This is an extraordinary opportunity to join our team at a pivotal stage as we transition from prototype to large-scale production. Be part of a team that not only ships cutting-edge systems but also plays a crucial role in shaping the operational framework of an innovative robotics company.

Founded in 2007, Airbnb has transformed the way people travel by connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform offers unique accommodations and experiences that foster authentic community connections. The Team You Will JoinThe Airfam Products team is dedicated to enhancing productivity for every Airbnb employee by creating a cohesive digital headquarters experience. As part of a dynamic 10-member cross-functional team consisting of engineers, designers, researchers, and product managers, you will contribute to platforms utilized by Airbnb's global workforce.Our portfolio features One Airbnb (the company’s internal cultural hub with enterprise search, employee profiles, and AI-driven chat), OneChat (Airbnb's secure enterprise ChatGPT for seamless LLM interactions), and a range of tools designed to help employees find information, connect with colleagues, and accomplish tasks efficiently.You will report directly to the Engineering Manager and collaborate closely with the Employee Experience Tools & Technologies (TNT) team, Product Managers, UX Designers, and Data Scientists. Our team is pioneering AI-driven employee experience innovations, developing systems that reshape how thousands of employees engage with their work on a daily basis. Your ImpactAs a Staff Engineer on the Airfam Products team, you will serve as the technical backbone for Airbnb's next generation of AI-powered employee experience platforms. The tools you develop, the architectural decisions you make, and the mentorship you provide to fellow engineers will significantly boost productivity across Airbnb's global workforce. You will:Develop and maintain high-quality, scalable software solutions.Collaborate with cross-functional teams to define, design, and ship new features.Mentor junior engineers and contribute to team knowledge sharing.Engage in code reviews and provide constructive feedback.

P-186 At Databricks, we are passionate about empowering data teams to tackle some of the world’s most challenging problems, from security threat detection to cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, enabling our customers to concentrate on the high-value challenges that are integral to their own objectives. Founded in 2013 by the original creators of Apache Spark™, Databricks has rapidly evolved from a small office in Berkeley, California, to a global powerhouse with over 1000 employees. Trusted by thousands of organizations, from startups to Fortune 100 companies, we are recognized as one of the fastest-growing SaaS companies worldwide. Our engineering teams create highly sophisticated products that address significant needs in the industry. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability essential for our customers' success on our platform. We manage one of the largest-scale software platforms, consisting of millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system faults, and our software must effectively shield our customers from these challenges. Modern data analysis leverages advanced techniques, such as machine learning, that far exceed the capabilities of traditional SQL query engines. As a Software Engineer on the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems that outshine specialized SQL query engines in relational query performance, while providing the flexibility and programming abstractions to support a variety of workloads, from ETL to data science. Examples of projects you may work on include: Apache Spark™: Contributing to the de facto open-source framework for big data. Data Plane Storage: Developing reliable, high-performance services and client libraries for storing and accessing vast amounts of data on cloud storage backends like AWS S3 and Azure Blob Store. Delta Lake: A storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, featuring low latency streaming. Its higher-level abstractions and guarantees, including ACID transactions and time travel, significantly reduce the complexity of real-world data engineering architectures. Delta Pipelines: Aiming to simplify the management of data engineering pipelines.

About GranicaGranica is a pioneering AI research and infrastructure company dedicated to creating reliable and steerable representations of enterprise data.We build trust through Crunch, a policy-driven health layer designed to keep extensive tabular datasets efficient, reliable, and reversible. From this foundation, we are developing Large Tabular Models—systems that learn cross-column and relational structures to provide trustworthy answers and automation, complete with built-in provenance and governance.Our MissionThe current limitations of AI are not solely due to model design but also to the inefficiencies of the data that supports it. At scale, every redundant byte, poorly organized dataset, and inefficient data path contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage cutting-edge research in information theory, probabilistic modeling, and distributed systems to create self-optimizing data infrastructures that continuously enhance how information is represented and utilized by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari from Stanford University, merging advancements in information theory and learning efficiency with large-scale distributed systems. We believe that the next major breakthrough in AI will stem from innovations in efficient systems, rather than simply larger models.What You Will CreateGlobal Metadata Substrate. Design and refine the global metadata and transactional substrate that enables atomic consistency and schema evolution across exabyte-scale data systems.Adaptive Engines. Architect systems that self-optimize, reorganizing and compressing data according to access patterns, achieving unprecedented efficiency improvements.Intelligent Data Layouts. Innovate new encoding and layout strategies that challenge the theoretical limits of signal per byte read.Autonomous Compute Pipelines. Spearhead the development of distributed compute platforms that scale predictively and maintain reliability even under extreme load and failure conditions.Research to Production. Partner with Granica Research to transform advances in compression and probabilistic modeling into production-ready, industry-leading systems.Latency as Intelligence. Propel systems forward by optimizing for latency as a key aspect of intelligence.

Join Our Mission as a Staff Software EngineerAs a pivotal member of our Data Engineering team at Prosper, we are seeking a talented Enterprise Python Expert. Your primary responsibility will be to enhance our data ecosystem by designing and implementing high-quality software solutions. You will focus on building robust data pipelines and services while optimizing system architecture and ensuring clean, scalable code development within our Google Cloud Platform (GCP) environment.

Join the Revolution at HarveyAt Harvey, we're not just changing the game for legal and professional services; we're redefining it from the ground up. By harnessing cutting-edge agentic AI, a robust enterprise platform, and unparalleled domain expertise, we're transforming the way essential knowledge work is performed for generations to come.This is an extraordinary opportunity to contribute to the foundation of a groundbreaking company at a pivotal moment. With a client base exceeding 1,000 across over 58 countries, a strong product-market fit, and exceptional investor backing, we're rapidly scaling and creating a new genre in real-time. The challenges are ambitious, the expectations are high, and the potential for growth — personally, professionally, and financially — is unparalleled.Our team is composed of sharp, driven individuals who are passionately committed to our mission. We operate with agility, intensity, and take genuine ownership of the challenges we face — from initial concept to long-term impact. We maintain close relationships with our customers, spanning from leadership to engineering teams, working collaboratively to address real issues with urgency and care. If you excel in uncertain environments, strive for excellence, and wish to help craft the future of work alongside like-minded individuals, we welcome you to join us in building something remarkable.At Harvey, the future of professional services is being crafted today — and we’re only at the beginning.Role OverviewAs a Senior Staff Software Engineer on our Product Security team, you will play a vital role in integrating security into our AI platform from the outset. Given that we handle and process our clients’ most sensitive information, prioritizing security is essential throughout our product lifecycle. You will take the lead in safeguarding crucial aspects of our product while spearheading high-impact security initiatives that elevate our entire engineering organization — balancing hands-on technical contributions with cross-functional leadership and mentorship. You’ll be responsible for designing and implementing both technical safeguards and security features within the Harvey platform.Our security program thrives on our collective offensive security experience: penetrating systems at other organizations (in white-hat capacities), responding to real security incidents, and drawing lessons from data breaches elsewhere. We routinely conduct penetration tests and red team exercises with external security experts. Simultaneously, we are all software engineers who contribute code daily, approaching security with an engineering-first mindset.What You’ll DoEstablish and enhance the security posture across the engineering organization, setting scalable standards.Collaborate with Product Engineering, Infrastructure, and other teams to integrate security into every facet of our development process.

Are you ready to push the boundaries of your capabilities?At Coinbase, our vision is to enhance economic freedom globally. This ambitious endeavor requires our utmost dedication as we develop the future on-chain platform and, consequently, the global financial system of tomorrow.We are in search of a unique individual who shares our passion for this mission and recognizes the transformative potential of cryptocurrency and blockchain technology in revolutionizing finance. We seek someone who is driven to make a significant impact, thrives under pressure, and values constructive feedback for continuous improvement. If you are eager to confront complex challenges head-on, we want you on our team.Our work culture is rigorous and may not suit everyone. However, if you aspire to shape the future alongside exceptional colleagues who demand excellence, look no further.While many positions at Coinbase allow for remote work, we are not exclusively remote. In-person participation is encouraged throughout the year, with multiple team and company-wide offsite events designed to foster collaboration and alignment. Attendance is both expected and fully supported.At Coinbase, our quest for economic freedom necessitates not only outstanding products but also a robust data foundation. The Data Platform team serves as the backbone of Coinbase’s data infrastructure, ensuring reliability, speed, and accessibility at scale. This critical support enables everything from fraud detection and financial reporting to the advanced AI and ML systems that will define Coinbase's future.The RoleWe are seeking a visionary and hands-on Senior Staff Software Engineer to define and steer the technical strategy for Coinbase’s Data Platform. This pivotal role sits at the intersection of distributed systems, data engineering, and AI preparedness, offering a rare opportunity to build significant infrastructure within one of the most influential companies in the crypto space.Reporting to the Senior Director of Engineering for Data Platform, you will take on the role of the domain's foremost technical leader. You will set the architectural vision, mentor emerging engineering talent, drive multi-quarter roadmaps, and play a crucial role in transitioning Coinbase from a collection of managed data services into a scalable, cohesive data platform. This position provides considerable autonomy and is expected to have a far-reaching impact across various cross-functional teams and the broader Infrastructure organization.

Join us at Adyen as a Staff Engineer specializing in Financial Products, where you will play a critical role in shaping the future of payment solutions. As part of our dynamic team in San Francisco, you will leverage your engineering expertise to develop innovative financial products that enhance our clients' experience.

Founded in 2007, Airbnb began its journey when two hosts welcomed three guests into their San Francisco home. Today, we boast a thriving community of over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country worldwide. Our hosts provide exceptional stays and unique experiences, enabling guests to connect with local communities in a genuine and meaningful way.Join Our Community:At Airbnb, we prioritize the importance of reliable data across all business sectors to drive insight and innovation. To achieve this, we focus on understanding business needs, securing appropriate data sources, designing effective data models, and establishing robust and dependable data pipelines.We are currently recruiting for the following teams:The Data Stewardship Team: A dedicated group of data enthusiasts with diverse expertise in analytics, data modeling, governance, compliance, and scalable data quality. Our mission is to ensure that Airbnb meets its compliance obligations within our data ecosystem while enabling data consumers to easily find the best data suited for their needs. As part of the overall Data Infrastructure organization, we manage the online and offline data infrastructure and oversee the processes that facilitate data transitions between these environments.The Users and Contextualization Data & AI Team: A crucial component of the Marketplace Data & AI, this team focuses on developing foundational data systems that provide deeper insights into essential domains. Specifically, we concentrate on user data (Guests & Hosts) to create high-quality, well-governed user data and insights. These insights are vital for crafting personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately enabling Airbnb to better understand and serve its users throughout their journey.Your Impact:Data Stewardship: This is integral to Airbnb's operations. High-quality data is imperative for our business decisions and the future of our AI initiatives. We are responsible for the overall strategy regarding data quality, identifying critical data and its provenance, measuring the effectiveness of our internal data products, and collaborating with our core catalog team to provide optimal data solutions.

About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of essential services such as payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on their passion and serving their customers. With teams based in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, and we are committed to building a workplace that reflects and celebrates the diversity of our customers. Discover more about our Total Rewards philosophy. About the Role:We are seeking a highly skilled and motivated Staff Data Scientist with a minimum of 7 years of experience in a business environment. In this pivotal role, you will utilize experimentation, statistical inference, and causal analysis to drive strategic decision-making that enhances our organization's success. The ideal candidate is a trusted data storyteller with strong statistical and programming skills, passionate about using these abilities to support small businesses in thriving.About the Team:In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in your domain's data, define and track metrics that provide insights into our business performance, and delve into our Payroll, Benefits, and HR data to deliver valuable insights and answer critical questions. You will also implement AI-assisted methodologies to accelerate analysis, enhance rigor, and broaden the impact of insights throughout Gusto. We have multiple senior roles open, each focusing on a different segment of our business.Here’s what you’ll do day-to-day:Lead: Tackle ambiguous challenges, design analytical frameworks, and introduce scalable structures across multiple product domains.Strategic Partnership: Work alongside product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategies, and steer data-informed decision-making.Analytical Rigor: Employ advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to identify product performance drivers, distinguishing signal from noise.Experimentation & Analysis: Conduct rigorous experimentation to validate hypotheses and inform product iterations.

Join Laurel as a Staff Data Engineer, where you will play a pivotal role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to optimize data architecture and enhance data analytics capabilities.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.

Join us in building the data infrastructure that empowers robots to operate seamlessly in the real world.The field of robotics is rapidly transitioning from research to real-world applications across factories, warehouses, vehicles, and outdoor environments. When robots encounter failures, exhibit unexpected behaviors, or require enhancements, engineers depend on data to uncover the underlying issues.At Foxglove, we are at the forefront of developing observability, visualization, and data infrastructure that enables this critical analysis. Our innovative tools are utilized by robotics and autonomous systems teams to effectively ingest, store, query, replay, and analyze vast amounts of multimodal sensor data from active systems and production fleets.Recognizing that data is crucial for physical AI, we seek to enhance our Data Platform, transforming it from a passive data lake into a dynamic engine for dataset creation, discovery, and automated evaluation.In this pivotal role, you will steer Foxglove's largest investment area for 2026, taking charge of evolving the Data Platform into a standalone, high-velocity product line. Your focus will extend beyond mere storage, aiming to establish sophisticated workflows that encompass all phases of research, development, and operations.Key ResponsibilitiesDevelop and own the Data Strategy & Roadmap: Define the platform's evolution to capitalize on opportunities in data management, discovery, curation, and evaluation.Drive Technical Innovation: Collaborate with our Search and Curation engineering teams to create advanced data layers tailored to the intricate demands of real-world operations.Enhance Product-Market Fit: Shift the product from being merely a visualization tool to a core value proposition for Foxglove. Lead design partnerships with key customers to develop and validate new functionalities before they are widely released.Commercialize Consumption: Partner with GTM to refine and execute a product-led growth strategy that aligns with customer value creation and integrates into Enterprise sales.Establish Seamless Integration: Ensure a smooth connection between the Data Platform and our Visualization and Fleet products, generating a

About Us:At Parafin, our mission is to empower small businesses by providing them with the financial support they need to thrive. Small businesses play a crucial role in our economy, yet they often face challenges in accessing traditional banking services. We develop innovative technology that simplifies access to essential financial tools through the platforms they already use for sales. By partnering with industry leaders like DoorDash, Amazon, Worldpay, and Mindbody, we deliver fast and adaptable funding solutions, spend management, and savings tools to small business users via seamless integrations. Parafin manages the complexities of capital markets, underwriting, servicing, compliance, and customer support on behalf of our partners.Our team of dedicated innovators comes from top-tier organizations such as Stripe, Square, Plaid, Coinbase, and Robinhood, all driven by a shared passion for creating solutions that foster the success of small businesses. Backed by prominent venture capital firms including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital, Parafin is a Series C company with over $194M raised in equity and $340M in debt facilities.Join us in shaping a future where every small business has the financial tools they deserve.About the Position:As a Staff Product Engineer at Parafin, you will be the go-to expert for our implemented products. You will collaborate across design, product, and backend teams to ensure that everything functions seamlessly. Our focus extends beyond specifications; we prioritize understanding the purpose of features, identifying users, and solving their problems. You will take ownership of the entire frontend experience, addressing every transition, edge case, and state change that occurs between user actions and screen outputs.While familiarity with our specific stack is not required, a strong foundation in JavaScript and experience shipping real products using React and TypeScript are essential.Your Responsibilities:Create Scalable, High-Quality User Experiences: Collaborate with design to deliver exceptional UI/UX while also managing critical aspects such as page performance, cross-browser compatibility, and mobile responsiveness.Gain In-Depth Product Knowledge: Develop a strong understanding and perspective on the products we build. Work closely with product and design teams to contribute to the development process, rather than merely executing specifications.Monitor and Enhance Performance: Implement observability for user interactions, core web vitals, and overall perceived performance.Build Frontend and Product Infrastructure: Participate in the development of build systems, developer tools, and deployment pipelines. Advocate for improvements in the developer experience and create internal tools to streamline processes.

Join Our Team at Unify!At Unify, we are at the forefront of innovation, developing the first AI-driven system of action for revenue teams. Our mission is to empower organizations by transforming outbound sales into their most effective growth accelerator, making go-to-market strategies observable, repeatable, and scalable. Founded in 2023 by visionary leaders from Ramp and Scale AI, our diverse team boasts experience from renowned companies such as Airbnb, Meta, Waymo, and Monday.com.In 2024, we achieved an impressive 8x revenue growth and currently serve esteemed clients like Perplexity, Cursor, SoFi, and Justworks. We’re a dynamic and high-energy team that has successfully raised $58M from prominent investors including Thrive, Emergence, and OpenAI. Be part of our journey to redefine the future of go-to-market strategies!About Us:Founded on January 17, 2023, by Austin Hughes and Connor Heggie, Unify aims to build the premier system-of-action for go-to-market teams, starting with an end-to-end platform that facilitates warm outbound sales. Today, the outbound sales landscape is cluttered with cold, mass outreach, yielding minimal conversion rates. Our innovative platform is designed to connect sales teams with the right prospects at the perfect moment.Our remarkable growth trajectory continues, with an 8x revenue increase year-over-year, and we proudly provide services to a wide range of clients, including Guru, Justworks, Together.AI, and Hightouch. Join our passionate, driven team and help us reshape the way go-to-market strategies function.Role Overview:As a Staff Software Engineer, you will lead the development of innovative products from inception to launch, collaborating closely with our founders. You will take ownership of critical engineering projects that deliver significant value to our customers while establishing the technical groundwork for Unify. This is an opportunity to work at the cutting edge of technology, leveraging the latest advancements in AI.Your Responsibilities:Collaborate with a highly skilled team in product, design, and engineering to shape our product roadmap and engineering foundation.

About the RoleAnyscale is actively seeking a Senior Product Manager to spearhead the development of Ray Data, our innovative and scalable data processing library tailored for Machine Learning (ML) and Artificial Intelligence (AI) workloads.This position presents a unique opportunity to navigate the challenges of merging open-source growth with commercial innovation. You will drive rapid adoption within the open-source Ray Data ecosystem while simultaneously crafting powerful proprietary features for RayTurbo Data, our advanced commercial engine.As the steward of the Ray Data product roadmap, you will collaborate closely with engineering teams, sales, enterprise clients, and the open-source community. Success in this role hinges on your ability to:Immerse yourself in the end-user experience to identify product gaps and trade-offsEngage with customers and open-source users to expertly balance growth and commercializationStrategically assess the ML/Data lifecycle, pinpointing where our architectural strengths can deliver maximum valueArticulate a clear and compelling product strategy to stakeholdersKey ResponsibilitiesLead the Ray Data product strategy - Harmonize development of open-source features with the distinctive capabilities of RayTurbo Data to solidify Ray Data's position as the open-source standard for AI data processing.Enhance open-source Ray Data adoption - Prioritize community engagement, developer experience, and ecosystem partnershipsMarket Positioning & Enablement - Collaborate with Product Marketing on strategic positioning, enablement for sales teams, and conducting competitive analysis to ensure ongoing differentiation.Customer Engagement - Foster critical customer relationships to support sales and field engineering efforts.Required Qualifications3+ years of experience in product management, specifically with technical productsRobust technical expertise in distributed systems, ML infrastructure, or data processingProven experience engaging with both developer and enterprise audiencesStrong strategic thinking skills with the ability to manage competing priorities and stakeholder expectationsExcellent communication skills for articulating vision and strategy