Enterprise Account Executive at Sigma Computing | San Francisco

About Sigma Computing Sigma Computing builds a platform designed to help businesses work smarter with modern data architecture. The company is growing its engineering team in San Francisco and looking for experienced leaders to help shape the next phase of product development. Role Overview This Engineering Manager role focuses on leading and developing a high-performing engineering team. The position involves guiding product strategy, setting priorities, and ensuring consistent progress on project goals. The manager will also support team members' career growth and oversee day-to-day management responsibilities. What You Will Do Work closely with executive leadership, cross-functional partners, and field teams to shape product strategy that aligns with business goals. Support team members in their professional growth through coaching, mentoring, and regular performance feedback. Manage execution and delivery of project roadmaps, ensuring both the business and engineering team are set up for success. Partner with recruiting to attract and hire talented engineers. Promote a culture of ownership and accountability, encouraging high standards within the team. Participate in architectural discussions and help define implementation strategies that turn user needs into efficient technical solutions. Location This position is based in San Francisco, CA.

About the RoleAt Sigma Computing, we are revolutionizing how enterprises manage their data through an advanced high-performance platform built on modern data architecture. As we expand our engineering team, we seek passionate engineers eager to tackle complex challenges and deliver significant capabilities across our technology stack. Join our talented team committed to making data effortlessly accessible for all users.What You Will Be DoingDevelop and maintain testing infrastructure and tools, including AI-driven test generation, test harnesses, API testing, hermetic test environments, and performance testing frameworks.Enhance the testability of our systems and services.Utilize modern programming languages and tools such as K6, Rust, and Go.Establish and refine best practices to ensure high-quality standards in our systems and services.Engage in test planning and quality strategy reviews.Collaborate with peers and stakeholders through design and code reviews to uphold best practices across available technologies, dedicating a majority of your time to delivering high-quality code.

About the RoleAt Sigma Computing, we are revolutionizing the field of business intelligence by transforming complex data analysis into an easily accessible format through our high-performance platform designed for the modern data ecosystem. Our Compiler Team is integral to this vision, converting user-friendly spreadsheet actions into highly optimized SQL queries, thus facilitating seamless exploratory analytics on cloud data warehouses. As part of the Compiler Team, you'll collaborate with a dedicated group of engineers focused on developing the core systems and abstractions that empower Sigma's intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users.What You Will Be DoingAddress key challenges at the crossroads of data modeling, query compilation, and large-scale interactive analytics, enabling end-users to efficiently query data warehouses without requiring extensive technical expertise.Design, implement, and uphold sophisticated compiler infrastructure and intermediate representations that convert spreadsheet operations into optimized query plans.Utilize advanced optimization techniques to enhance performance and accuracy across diverse query workloads and data architectures.Contribute to both backend (using Rust) and critical frontend frameworks (using TypeScript), refining essential abstractions that facilitate end-to-end workflow optimizations and introduce new features.Diagnose, analyze, and resolve intricate issues, ensuring robustness and maintainability in a rapidly evolving product landscape.Partner with engineers and product stakeholders to review designs and code, championing technical best practices and architectural decisions throughout the team and organization.

Role Overview Sigma Computing is seeking a Senior Director of Engineering to guide our Core Product Engineering teams in San Francisco. This leader will oversee several groups focused on advancing our core data AI applications. Reporting to the Senior Vice President of Engineering, the Senior Director will shape both technology and team culture. What You Will Do Lead with a product-focused mindset while managing and developing people. Recruit, mentor, and grow team members to support Sigma Computing’s goals, building a culture where urgency and efficiency matter. Work closely with cross-functional partners to improve development practices and processes. Communicate project plans and progress clearly across the organization. What We Look For Deep understanding of building platforms that are simple for less-technical users. Over 10 years of engineering management experience with product teams, including at least 5 years leading organizations. Strong opinions and insight into product development. Curiosity and a drive to learn new technologies quickly. Exceptional technical architecture and engineering skills, adaptable to different technology stacks. Enjoyment in working with top engineers, product managers, and architects. Commitment to excellence, innovation, and pride in your work. Location This position is based in San Francisco, CA.

About the Role Sigma Computing is adding to its Technical Support Engineering team in San Francisco. This group recently earned the 2024 Stevie Gold Award for Customer Service. As a Technical Support Engineer, the work centers on helping customers solve technical, business, and data challenges while using the Sigma platform. The position involves close collaboration with Product, Engineering, and Go-to-Market teams to diagnose issues, deliver solutions, and support ongoing improvements to both the product and support operations. What You Will Do Troubleshoot and resolve complex technical issues in real time through live chat, working directly with customers. Take part in on-call rotations to handle high-severity incidents, responding quickly and taking full responsibility for resolution. Partner with development teams to create tools and best practices that improve issue diagnosis and enhance service performance. Contribute to quarterly projects aimed at improving automation, tooling, and processes for greater operational efficiency. Work alongside backend, frontend, devops, design, product, and go-to-market teams to help deliver a strong user experience. Support activities beyond traditional customer support, such as product demonstrations, bug bashes, knowledge sharing, and developing automation or internal tools to streamline operations.

Sigma Computing builds an AI platform tailored for cloud data warehouses, helping teams create interactive applications for live data exploration, AI model execution, and automated approvals. Data stays secure within the warehouse. Trusted by organizations like JPMorgan Chase and backed by $662 million in funding, Sigma has earned recognition as Snowflake's BI Data Cloud Product Partner of the Year for three years running and as Databricks' Business Intelligence Partner of the Year. The company now includes over 1,400 employees worldwide and continues to expand, with a new headquarters in Sydney, APAC. Sigma's mission centers on advancing AI-driven analytics for the next generation of data teams. Role Overview The Technical Recruiter will join Sigma Computing's Talent Acquisition team in San Francisco, focusing on hiring for Engineering. This position partners with hiring managers across Software Engineering, Data Engineering, Platform Infrastructure, and AI/ML groups. The recruiter manages the full cycle for highly technical and business-critical roles. Beyond scheduling and coordination, this role requires close engagement with engineering leaders, building talent pipelines in competitive markets, and representing Sigma's mission and engineering culture throughout the hiring process. What You Will Do Oversee end-to-end recruitment for engineering roles, including Software Engineers (Frontend, Backend, Full-Stack), Data Engineers, Platform/Infrastructure Engineers, and AI/ML Engineers. Work closely with Engineering leadership and hiring managers to understand technical needs, team dynamics, and business priorities, then translate these into effective job descriptions and sourcing strategies.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore and analyze billions of data rows in seconds, all within a familiar spreadsheet-like interface. Sigma aims to make it simple to analyze, present, and build data-driven applications at scale. AI is central to Sigma's vision for the future. The company is expanding its use of artificial intelligence to help users build in Sigma, surface insights, and make decisions faster. What You Will Do As a Senior AI/ML Engineer, join a team focused on shaping the AI architecture behind Sigma's platform. This work directly impacts thousands of enterprises that depend on Sigma for their data workflows. The team is responsible for designing and implementing the systems that will power Sigma's AI-driven features for years to come. Location This position is based in San Francisco, CA.

Role Overview Sigma Computing is looking for a Technical Support Manager to guide and grow a team of Support Engineers in San Francisco. This leader will focus on team development, operational improvements, and customer satisfaction. The position calls for someone who values both innovation and collaboration, and who is comfortable working across departments to deliver a strong customer experience. Main Responsibilities Develop deep expertise in the Sigma Computing platform; strong product knowledge is expected. Lead and mentor a group of Support Engineers dedicated to high-quality customer support. Recruit, train, and continuously develop team members to maintain a high-performing support group. Work closely with Engineering, Design, Product, Customer Success, Sales, and Marketing to ensure customers have a seamless experience. Set and manage strategies tied to performance metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Refine support processes to improve efficiency and service quality. Review support data and identify areas for ongoing improvement. Uphold a reputation for excellence and integrity in relationships across the organization. Location This role is based in San Francisco, CA.

Role Overview Sigma Computing is hiring a Commercial Customer Success Manager to join the team in San Francisco. This in-office position focuses on supporting customers as they use Sigma’s analytics and business intelligence platform. The role centers on building strong client relationships, driving customer satisfaction, and supporting account growth through thoughtful account management. What You Will Do Strategic Account Management: Build and maintain relationships with decision-makers and influencers in high-value customer accounts. Analytics Expertise: Guide customers in getting the most from Sigma Computing’s platform, helping them turn data into actionable insights. Net Dollar Retention (NDR) Growth: Develop and carry out plans to increase NDR by identifying upsell and cross-sell opportunities and reducing churn through proactive engagement. Customer Advocacy: Serve as a bridge between customers and the product team, sharing feedback and advocating for features or integrations that improve satisfaction and retention. Success Plans: Work with customers to design and execute plans that align Sigma’s capabilities with their business goals. Educational Initiatives: Lead training sessions, webinars, and workshops to boost product knowledge and user engagement. Location Requirement This role is based onsite at Sigma Computing’s San Francisco office.

Role Overview Sigma Computing is hiring a Corporate Counsel - Commercial to join the legal team in San Francisco, CA. This in-person role reports directly to the General Counsel. The position calls for strong judgment, careful risk assessment, and close attention to detail. Key Responsibilities Draft and negotiate technology transactions, including: Sales and related agreements (master subscription agreements, data processing agreements, order forms, and non-disclosure agreements) Alliance agreements with third-party partners Cloud infrastructure contracts (such as agreements with AWS, Azure, GCP, and others) Consulting and independent service agreements Conduct legal and regulatory due diligence in international jurisdictions where Sigma Computing plans to enter into technology agreements. Work with cross-functional teams to ensure agreements follow internal corporate policies and processes, and secure approvals from stakeholders to support business goals. Provide legal and commercial support for existing contracts, including assistance with dispute resolution. Offer practical legal advice on a range of legal and business matters to internal teams. Location This position is based on-site in San Francisco, CA.

About Sigma Computing Sigma Computing offers an analytics and business intelligence platform built for the cloud. The platform enables business users to analyze and share insights directly from cloud data warehouses, without requiring SQL expertise. Sigma serves major enterprises and is backed by leading investors. Role Overview: Director of Strategic Partnerships The Director of Strategic Partnerships will lead Sigma's alliance with Snowflake, a central partner in the company’s ecosystem. This senior leader will drive co-selling efforts, expand joint business opportunities, and focus on revenue growth through the partnership. This position is based on-site in San Francisco or New York City and reports to the Senior Director of Partnerships. What You Will Do Shape and manage the overall Snowflake partnership strategy, setting priorities, investment areas, and go-to-market plans. Act as the business lead for the Snowflake relationship, holding responsibility for partner-influenced and attributed pipeline and revenue. Design and roll out scalable co-selling programs that drive demand and deliver measurable revenue. Lead joint business planning with Snowflake, including quarterly reviews and strategic assessments. Align Sigma sales teams with Snowflake account teams through training, playbooks, and collaboration on deals. Serve as the main escalation point for Snowflake-related deal strategies, executive connections, and partner conflict resolution. Develop and maintain trusted relationships across Snowflake’s Partner, Sales, and Field Leadership teams, influencing seller behavior during active deals. Lead cross-functional projects with Sales, Marketing, Enablement, and Operations to put partnership strategies into practice. Work with Marketing to run joint campaigns, events, and programs that support co-selling and pipeline goals. Monitor partnership performance metrics and report on results.

About the Senior AI/ML Engineer Role Sigma Computing is building tools that change how people work with data. The platform lets users sift through billions of rows in seconds, all through a familiar spreadsheet-like interface. Users can analyze, visualize, and build data applications and workflows directly in Sigma. Now, the team is taking a step further by weaving AI into the product to help users build, discover insights, and make decisions faster. This Senior AI/ML Engineer position sits at the heart of this evolution. The role focuses on creating the AI infrastructure that will drive Sigma's next chapter. The work directly supports thousands of enterprises that depend on Sigma every day. Location: San Francisco, CA

About the Account Executive Role Sigma Computing is growing quickly, and Account Executives are central to that momentum. This San Francisco-based position focuses on building strong pipelines, bringing in new clients, and directly contributing to the company’s progress. Account Executives at Sigma receive hands-on support and access to resources that help them succeed. The team’s achievements matter here, and every Account Executive has a clear impact on both client expansion and company growth. Location Requirement This role is based in San Francisco. Remote work is not available.

Role Overview Sigma Computing is hiring a Commercial Account Executive in San Francisco. This onsite position plays a key part in the company’s growth by connecting with prospective clients and supporting Sigma’s mission to advance innovation through data. What You Will Do Engage directly with potential customers to introduce Sigma Computing’s solutions Contribute to business development as part of a growing team Support company goals by building lasting client relationships Location Requirement This role is based in San Francisco, CA. Remote work is not available for this position.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

Perplexity seeks a Software Engineer in San Francisco to focus on computer monetization. This position involves developing and enhancing software that drives the company’s monetization strategies. Role overview This role centers on building and refining systems that support Perplexity’s revenue efforts. Projects in this area have a direct impact on the company’s growth within the technology sector. What you will do Develop software solutions that contribute to monetization goals Refine and improve existing systems to optimize revenue streams Work on projects that influence Perplexity’s expansion and success Location This position is based in San Francisco.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

About EventualAt Eventual, we believe that every innovative AI application—from foundational models to self-driving vehicles—demands the ability to process vast amounts of images, video, and intricate data. Unfortunately, existing data platforms, such as Databricks and Snowflake, are designed for traditional spreadsheet-like analytics, not for the petabytes of multimodal data that truly drive AI advancements. This limitation leads teams to spend excessive time on fragile infrastructure, diverting them from essential research and product development.Founded in 2022, Eventual's mission is to revolutionize data querying, making it as intuitive as working with tables and robust enough to support production workloads. Our open-source engine, Daft, is specifically engineered for real-world AI systems. It effectively coordinates with external APIs, manages GPU clusters, and addresses failures that conventional engines cannot handle. Major companies like Amazon, Mobileye, Together AI, and CloudKitchens are already leveraging Daft for their critical workloads.Our team is composed of industry veterans from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and beyond, and we've quadrupled our size within just a year. With Series A and seed funding from notable investors including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and prominent angel investors from the co-founders of Databricks and Perplexity, we are actively expanding our team. Join us—Eventual is only at the beginning of its journey.We are currently seeking passionate individuals to join our tight-knit team, who will work together in our San Francisco Mission district office four days a week.