Founding Director of Partnerships

About RoxRox is pioneering the AI-native revenue operating system designed for contemporary go-to-market teams. Supported by industry leaders such as Sequoia, GV, and General Catalyst, we collaborate with some of the most ambitious enterprise teams to transform disjointed CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data acro…

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 Intuitive Surgical as a Data Engineer focused on our Machine Learning Platform and Data Foundations. In this pivotal role, you will harness the power of data to drive innovations that enhance surgical outcomes. Collaborate with cross-functional teams to design, develop, and implement data solutions that empower our Machine Learning initiatives.

Join Our Innovative AI Lab as a Senior Data Engineer!At cognition, we are revolutionizing the intersection of artificial intelligence and software engineering. As the creators of Devin, the pioneering AI software engineer, and Windsurf, an AI-native integrated development environment, our mission is to forge collaborative AI teammates. These innovations are designed to allow engineers to tackle more challenging problems and empower teams to pursue their most ambitious objectives.Our team is composed of elite talent, featuring competitive programming champions, seasoned founders, and leaders from cutting-edge AI companies such as Scale AI, Palantir, Waymo, Tesla, and Google DeepMind. We believe that building Devin and Windsurf is just the beginning; the most challenging tasks are still on the horizon. If you're eager to address some of the world’s most pressing challenges and develop AI capable of reasoning through real-world tasks, we invite you to apply.Your Role in Our TeamWe are seeking a skilled Data Engineer to take charge of our complete data ecosystem—from database architecture and data pipelines to integrations and insightful reporting. You will design, implement, and maintain systems that ensure our data remains reliable, accessible, and actionable, with a strong emphasis on product and go-to-market analytics.Your Responsibilities:Architect and manage robust database structures and data models.Develop and maintain ETL/ELT pipelines and orchestration workflows.Design and manage data integrations across both internal and external systems.Lead business reporting efforts including datasets, dashboards, metrics, and self-serve analytics.Ensure data quality, observability, compliance, and comprehensive documentation.Qualifications:4+ years of experience in data engineering, data science, or a full-stack data role.Proficient in SQL and experienced in Python (or R).Hands-on experience with data modeling, warehouse architecture, and business intelligence schema design.Familiarity with ETL/ELT tools (e.g., dbt, Airflow, Dagster).Experience in building or maintaining BI reporting tools (Metabase is a plus).Strong grounding in statistics and experimental design.Must be based in San Francisco or New York City.

At Fastly, we empower individuals to forge deeper connections with the things they cherish. Our cutting-edge edge cloud platform enables clients to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. This platform is tailored to leverage the modern internet, is highly programmable, and supports agile software development methodologies. Our clientele includes renowned global brands, such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: March 13th, 2026Anticipated Posting Close Date*: May 30th, 2026*Job posting may close early due to the volume of applicants.Data EngineerAs part of Fastly's Analytics team, you will empower leaders across the organization with actionable data that drives essential business decisions. We are focused on expanding and enhancing our premier internal data platform. In your role as a Data Engineer, you will play a pivotal part in transforming our data infrastructure, optimizing data pipelines on Google Cloud Platform (GCP), scaling the ingestion of complex data sources, and adhering to best practices for performance and reliability. This is your chance to contribute to significant projects within a dynamic, collaborative, and innovative workspace, supporting data scientists, analysts, and business analysts across our organization.

Located in San Francisco, Arine is an innovative and rapidly expanding healthcare technology and clinical services firm dedicated to delivering the safest and most effective treatments tailored to the evolving needs of individuals.In the healthcare landscape, medications can sometimes do more harm than good. The mismanagement of drugs and dosages results in over $528 billion wasted annually in the U.S. healthcare system. Arine is transforming healthcare standards by addressing these challenges through our advanced software platform (SaaS). We leverage state-of-the-art data science, machine learning, AI, and deep clinical knowledge to create a patient-centered approach to medication management, facilitating the development and delivery of personalized care plans at scale for patients and their healthcare teams.At Arine, we are passionate about enhancing the lives and health of complex patients who significantly influence healthcare costs and have been historically difficult to reach. These individuals face a myriad of challenges, including complex medication prescriptions across various providers, chronic disease medication management, and barriers to accessing care. Supported by top healthcare investors and partnerships with leading healthcare organizations, we provide actionable recommendations and initiate clinical interventions that yield substantial health improvements for patients and cost savings for our clients.Why Choose Arine as Your Workplace?:Collaborative Team Culture - Our shared mission drives our collective efforts, inspiring us to excel in our work. We are passionately committed to the innovation necessary to lead in medication intelligence.Impactful Contribution to Healthcare - We are saving lives and empowering individuals to achieve better health outcomes.

About Our TeamThe Applied team at OpenAI is dedicated to collaborating across research, engineering, product, and design disciplines to effectively deliver cutting-edge AI technology to both consumers and businesses. Our mission is to learn from real-world deployments, ensuring that the benefits of AI are distributed equitably while prioritizing responsible and safe use of this powerful technology. Here, safety takes precedence over unchecked growth.About the Role:We are on the lookout for a Senior Data Engineer to spearhead the development of our data pipelines and foundational data tables at OpenAI. These pipelines are essential for driving analyses, enhancing safety systems that inform business decisions, fostering product growth, and mitigating risks from malicious actors. If you have a passion for data and a desire to create impactful solutions, we want to hear from you! This role also offers the chance to work closely with the innovative researchers behind ChatGPT, assisting them in training new models for user delivery. As we continue to expand rapidly, we place immense value on data-driven insights, and your contributions will be crucial to our ongoing success. Join us in shaping the future of AI!Your Responsibilities Will Include:Designing, building, and maintaining our data pipelines, ensuring seamless integration of user event data into our data warehouse.Creating canonical datasets that track vital product metrics such as user growth, engagement, and revenue.Collaborating with diverse teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and deliver effective solutions.Implementing robust, fault-tolerant systems for data ingestion and processing.Participating in architectural and engineering decisions related to data management, leveraging your extensive experience.Ensuring data security, integrity, and compliance with industry standards and company policies.You Will Excel in This Role If You:Possess 3+ years of experience as a data engineer and at least 8 years in software engineering (including data engineering).Have proficiency in at least one programming language relevant to Data Engineering, such as Python, Scala, or Java.Bring experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar tools.

About FaireFaire is a dynamic online wholesale marketplace committed to the belief that the future is local. Independent retailers around the globe are generating more revenue than major corporations like Walmart and Amazon combined, yet they often lack the visibility and resources to compete. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs worldwide. Imagine your favorite local boutique—our platform helps them uncover the finest products from around the globe to offer in their stores. With our innovative tools and insights, we strive to level the playing field, enabling small businesses everywhere to thrive against the giants of retail.By championing the growth of independent businesses, Faire not only supports local economies but also creates a positive economic impact on communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join us in our mission to empower the shop local movement. If you share our belief in community, we invite you to become part of ours.About this role:At Faire, we leverage cutting-edge machine learning and data insights to transform the wholesale industry, equipping local retailers to compete with e-commerce behemoths. Our team of skilled data scientists and machine learning engineers is dedicated to crafting algorithmic solutions for search, personalization, recommendation systems, and ranking. Our mission is to empower local retail businesses with the necessary tools for success.The Data Science team plays a crucial role in creating and maintaining a variety of algorithms and models that drive our marketplace. We are committed to developing machine learning models that support our customers' growth.We have several openings available in the Data organization.Search: Experience with GenAI and LLMs for search optimization, query understanding, retrieval, and ranking is preferred.Personalization: Experience in personalizing recommendation surfaces through embeddings, near-real-time streaming signals, explore-exploit, and diversification is a plus.Retailer Growth: Experience in developing machine learning solutions to enhance growth through paid marketing bidding, targeting efficiency, and sitemap optimization is preferred.Retailer Products: Experience with predictive modeling, Redshift, and Mode Analytics is advantageous.

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.

Join parafin as a Data Scientist in our Underwriting team, where you will leverage data analytics to drive insights and improve decision-making processes. You will work with a collaborative team to develop predictive models that enhance our underwriting capabilities and optimize risk assessment strategies.

Join our dynamic team at Sonsoft Inc., a leading technology consulting firm, as a Big Data Architect. In this pivotal role, you will design and implement scalable big data solutions that empower organizations to harness the power of data. Collaborate with cross-functional teams to drive innovation and deliver high-impact projects.

The OpportunityAt Enigma, we are at a pivotal moment of growth, receiving enthusiastic feedback from our clients regarding the substantial value our product provides. This feedback drives our urgent need to effectively present the capabilities of our small business data as we expand our sales and marketing efforts.The RoleWe are seeking a skilled Senior Software Engineer to join our dynamic API and Data Delivery Team. In this position, you will be instrumental in designing, constructing, and maintaining essential systems for processing and delivering vast datasets, collaborating with both teammates and clients to address impactful, real-world challenges.What You’ll DoDevelop scalable, highly available, and high-throughput systems deployed in cloud environments.Tackle challenges involving containers, cloud infrastructure, and infrastructure as code (primarily using Docker, AWS, and Terraform).Exhibit a proactive attitude that embraces challenges, regardless of their size.Take pride in writing clean, well-tested, and maintainable code.Thrill in collaborating as part of a motivated and cohesive team.Identify and address problems that may go unnoticed by others.Be driven to create tangible impacts for our customers.Inspire your colleagues to excel while fostering a collaborative and supportive team culture.Manage responsibilities related to architecture, design decisions, hands-on implementation, team organization, and technical mentorship.What Makes This Role Exciting?Impact: Your technical expertise and decision-making will directly influence our customers and the success of our product, affecting critical choices at multi-billion dollar firms.Technical Challenge: Engage with cutting-edge technologies surrounding databases, information retrieval, distributed systems, microservices, elastic scaling, data pipelines, and more.Ownership: The API & Data Delivery team is addressing some of the world's most complex challenges. The ideal candidate is an engineer eager to expand their responsibilities and collaborate with the team to create significant technical and business impacts.

About RoxAt Rox, we are pioneering an AI-native revenue operating system designed to elevate every sales representative to peak performance. With the backing of prestigious investors such as Sequoia, GV, and General Catalyst and a total of $50M raised, our platform is already empowering over 35 leading enterprise teams, including OpenAI, Ramp, and MongoDB. Our innovative 'Agent Swarm' architecture seamlessly integrates fragmented CRM data into intelligent, autonomous workflows that conduct thorough account research, personalize outreach, and advance sales pipelines, allowing sellers to focus on closing deals. As a small, dynamic team, we are challenging one of the most entrenched markets in software and achieving remarkable success.About the Design TeamJoin our multicultural design team of three, where we operate at the cutting edge of AI and enterprise software. We are committed to creating a completely new category of product, where design is not just about aesthetics but also about shaping the future of this category. Our mission is to ensure that Rox remains radically useful and simple, even as our capabilities expand. Your design decisions will have a direct impact on how thousands of sales professionals engage with their work daily. We prioritize rapid prototyping (using tools like Figma, Windsurf/Cursor, and LLMs), quick shipping, and meaningful involvement in every product decision.About the RoleIn this role, you will report to our Founding Designer while taking full ownership of your designated projects from start to finish. This position is structured as 60% design and 40% product. You will be responsible for features from initial competitor research to designing within our component library, building interactive prototypes that demonstrate complete behavior and edge cases, and justifying your design decisions alongside engineers and product leaders.We are seeking a candidate who embodies both design expertise and product thinking. You should possess a natural curiosity for analyzing competitor products, enjoy creating swift prototypes to validate concepts, and have a deep commitment to enhancing user experience through the solutions you deliver.What You'll DoDesign and launch features utilizing our existing Figma component libraryDevelop interactive prototypes with LLMs to illustrate functionalities and edge casesConduct product research to uncover patterns to leverage and gaps to addressCollaborate with engineering and product teams to scope, refine, and defend design choicesContribute to strategic discussions regarding the future direction of RoxIdentify and take initiative on low-hanging UX improvementsPropose and create new components as the system evolvesWhat Success Looks LikeIn your first few days: You have successfully navigated our component library...

About the Business Development Representative Role Sigma Computing is looking for a Business Development Representative (BDR) to join our San Francisco office. This is a full-time, in-person position, working alongside a team that values growth and learning. What to Expect BDRs at Sigma Computing receive thorough training in sales fundamentals, product knowledge, and industry trends. The program includes hands-on coaching from experienced sales professionals, helping team members develop sales strategies, build relationships, and use consultative selling methods. The goal: support each BDR in becoming a trusted advisor and preparing for a long-term career in sales leadership. BDRs play a central role in generating new business and are seen as future Account Executives and sales leaders at Sigma. The position is key to our company’s growth and success. Work Location This role is based in our San Francisco, CA office. BDRs are expected to work onsite five days a week to support collaboration and team connection.

Join HeartFlow, Inc. as a Staff Data Scientist and play a crucial role in revolutionizing cardiovascular care through advanced data analytics. You will leverage your expertise in data science to develop innovative algorithms and models that will enhance our medical imaging solutions, ultimately improving patient outcomes. Collaborate with a dynamic team of professionals who are dedicated to delivering exceptional healthcare solutions.

Accordion’s AI Data Specialist role sits within the Data & Analytics team, supporting private equity clients and their portfolio companies across sectors such as Retail, Consumer Packaged Goods, Healthcare, Media & Entertainment, Technology, and Logistics. This position is based in any of Accordion’s U.S. offices, including Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, or San Francisco, and follows a hybrid work model with up to two remote days per week. Candidates should reside near their selected office. Immigration sponsorship is not available. Role overview The AI Data Specialist works as part of an AI-enhanced delivery team, collaborating with AI engineers, data scientists, and product managers. The team’s mission is to transform financial operations for companies backed by private equity. The Data Specialist ensures that data is integrated, navigates complex data environments, and helps make information actionable to support client financial operations. Collaboration and focus This role involves close work with the Accordion Intelligence Lab, a group of software and AI engineers dedicated to advancing agentic-AI technologies. The Lab develops and maintains AI systems that underpin Accordion’s consulting work, including agentic architectures and production observability frameworks. AI Data Specialists contribute to building scalable, reliable tools that directly impact private equity clients and their portfolio companies. About the team The Data & Analytics group at Accordion brings together industry knowledge, advanced technology, and analytical skills to solve complex business problems. Team members deliver intelligent solutions and work in a collaborative, supportive environment alongside more than 1,400 finance and technology professionals.

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable and steerable representations of enterprise data.We build trust through our product Crunch, a policy-driven health layer that ensures large tabular datasets remain efficient, reliable, and reversible. On this solid foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures in order to provide trustworthy answers and automation with inherent provenance and governance.Our MissionAI is currently hampered not only by the design of models but also by the inefficiencies of the data that supports them. Every redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste as we scale.Granica aims to eliminate these inefficiencies. We merge cutting-edge research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructures: systems that consistently enhance the representation and utilization of information by AI.Our engineering team collaborates closely with the Granica Research group led by Prof. Andrea Montanari of Stanford University, bridging advancements in information theory and learning efficiency with large-scale distributed systems. Together, we firmly believe that the next major advancement in AI will stem from breakthroughs in efficient systems rather than merely larger models.Your ContributionsGlobal Metadata Substrate: Design a transactional and metadata substrate that facilitates time-travel, schema evolution, and atomic consistency across massive petabyte-scale tabular datasets.Adaptive Engines: Develop systems that autonomously reorganize data, learning from access patterns and workloads to maintain peak efficiency without the need for manual tuning.Intelligent Data Layouts: Optimize bit-level organization (including encoding, compression, and layout) to maximize signal extraction per byte read.Autonomous Compute Pipelines: Create distributed compute systems that scale predictably, adapt to dynamic loads, and ensure reliability under failure conditions.Research to Production: Apply new algorithms in compression, representation, and optimization that emerge from ongoing research. We encourage opportunities to publish and open-source your work.Latency as Intelligence: Design systems that inherently minimize latency as a measure of intelligence.

At Trunk, our vision is to empower teams to produce exceptional software efficiently. We have collaborated with engineering teams at leading companies such as Google X, Zillow, and Brex to identify the root causes of build failures, tackle flaky tests, and accelerate code deployment without compromising on reliability. While AI has revolutionized code writing, the deployment process remains a bottleneck. Issues such as merge conflicts, unreliable tests, and inconsistent code quality hinder productivity and morale. Our goal is to help engineering teams maintain focus on design, implementation, and delivery, fostering a more satisfying work environment.Founded in 2021 by former engineers from Uber, Google, YouTube, and Microsoft, Trunk has successfully raised $25 million in Series A funding, led by Initialized Capital and a16z, with additional investments from notable industry figures including the founders of GitHub and Apollo GraphQL.Our CI pipelines often operate as black boxes, causing engineers to spend valuable hours troubleshooting failures that may stem from flaky tests or other infrastructural issues. Trunk aims to demystify this process by making failures visible and actionable.We are on the frontier of innovation, building a data layer that enables AI agents to analyze CI processes, diagnose failures, propose solutions, and ultimately facilitate autonomous code deployment.We are seeking a Tech Lead who will take ownership of the data platform driving our flaky test detection and CI analytics solutions. You will be responsible for designing and developing systems capable of processing millions of test runs every hour, unveiling actionable insights, and establishing the groundwork for AI-enhanced CI workflows.We are at a pivotal moment in our growth. The challenges of scalability are significant and increasing. The future of development tools is evolving with AI at its core, and we are laying the foundational data infrastructure to support this transformation. If you are passionate about solving complex systems problems that have a direct impact on customers, this role is for you.

Join HockeyStack, where we are revolutionizing B2B sales and marketing through advanced AI systems.We seamlessly integrate with a multitude of tools across the go-to-market stack, merging first and third-party data to create the industry's most comprehensive event-level data foundation. Our capabilities include:Analyzing every deal won and lost to uncover revenue-driving patterns, enabling real-time guidance for sales representatives.Identifying key factors influencing the sales pipeline, providing immediate insights without the need for extensive manual analysis.Learning from every outcome and interaction, continuously improving our system's performance and accuracy.Unlike others, our structured reasoning layer ensures deterministic and self-improving agent execution. As a Y Combinator alum with a $26M Series A led by Bessemer Venture Partners, we are experiencing rapid growth with an 8-figure ARR and over 60 TB of GTM data processed. We are looking for dynamic individuals ready to succeed. This position can be based in our San Francisco HQ or be fully remote. Your MissionAs the Backend Tech Lead for the Data API team, you will design and scale our core API infrastructure, which is critical for Marketing, Sales, and Customer Success operations. You will oversee the engineering of services that manage over 60 TB of GTM data, ensuring the delivery of low-latency, high-availability APIs that provide valuable buyer insights to our internal applications and customer-facing dashboards.This is an exceptional opportunity for an engineer eager to take ownership of large-scale data and API infrastructure while fostering engineering excellence and rapid deployment in a fast-paced environment. What You’ll DoLead the design and development of APIs to share GTM data with both internal and external users.Oversee the architecture for large-scale data access patterns, focusing on performance, cost-effectiveness, and reliability.Work closely with AI, data, and frontend teams to ensure smooth integrations and clear API contracts.Address complex challenges including versioning, rate-limiting, authentication, query complexity, and cache invalidation in a rapidly evolving product landscape.

About RoxRox is pioneering an AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by notable investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the GTM stack, deploys AI agents for tangible tasks, and equips revenue leaders with a clear, unified view of the key drivers of success.As a nimble Series A startup, we are challenging one of the most established categories in software—achieving victory through a blend of deep technical expertise and an unwavering focus on utility.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not merely a support function; it plays a crucial role in shaping products and defining deals. This team operates at the intersection of Sales, Product, and Engineering, tasked with translating Rox’s technical capabilities into compelling customer value.You will join the foundational team in San Francisco, reporting directly to our Solutions Engineering leader. Working alongside three current Solutions Engineers, you will help establish how this function scales in SF. The practices you develop—such as how we demo, scope, integrate, and sell—will serve as the blueprint for the future of the company.About the RoleThis is a founding-level Solutions Engineer role for individuals who are technical, customer-focused, and passionate about redefining the sales engineering landscape.Your responsibilities will involve engaging directly with live deals: conducting technical discovery, crafting integrations, and leading demonstrations that clearly illustrate how Rox fits within customers’ data and GTM environments. This role transcends mere execution; you will identify inefficiencies in the sales process and implement improvements—enhancing demo experiences, refining technical narratives, and setting higher standards for those who follow.If you thrive on being the go-to person who can delve deeply into technical aspects while simplifying complexity for others, this role is tailored for you.What You’ll DoQuickly become a product expert, gaining deep insights into Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to deliver impactful technical demos and support deals from initial contact to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and contemporary GTM tools.Facilitate technical discovery discussions that uncover genuine customer challenges rather than just stated requirements.Translate complex technical information into easily digestible insights for stakeholders.