Technical Support Manager at Sigma Computing | San Francisco

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 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 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

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.

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.

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 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.

About the Enterprise Account Executive Role Sigma Computing is hiring an Enterprise Account Executive in San Francisco, CA. This position plays a central role in building our customer base and supporting the company’s growth. Account Executives at Sigma work closely with leadership and have a direct impact on the organization’s success. What We Look For Ambition to grow personally and professionally Understanding of how data drives innovation and business results Honesty, humility, and a strong work ethic What Matters to You Learning from experienced leaders invested in your development Working in a supportive team environment Making a meaningful contribution in the data space Building leadership skills for a long-term career Key Responsibilities Keep customer, pipeline, and forecast details up to date and accurate in Salesforce

Draup, based in San Francisco, is an AI company with Series A funding that builds intelligence solutions for large enterprises. The platform analyzes over 1 billion job descriptions and 850 million professional profiles, serving more than 250 enterprise clients, including several Fortune 10 companies. Draup’s data comes from more than 100 labor databases, supporting clients with deep workforce insights. Role overview The engineering team in Silicon Valley is expanding. Draup seeks experienced AI/ML Engineers interested in advancing both research and product development in artificial intelligence. What you will do Develop and maintain production-grade large language model (LLM) pipelines and agentic workflows. Design and enhance retrieval-augmented generation (RAG) architectures at scale, using vector databases such as Pinecone, FAISS, and Weaviate. Implement advanced agentic systems with tools like LangGraph or LlamaIndex, focusing on tool use, multi-agent coordination, and reasoning loops. Lead prompt engineering, manage model versioning, oversee evaluation (including RAGAS and DeepEval), and instrument LLMOps. Integrate AI features into large-scale data pipelines, ensuring observability in production and compliance with guardrails. Location This position is based in San Francisco, CA (Silicon Valley).

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.

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.

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.

Join Our Team as an Applied AI/ML Engineer!Are you an innovative AI/ML Engineer with 5 to 8 years of experience in developing and managing production AI and ML systems that impact real users? At paraform, we seek a talented individual who thrives in creating modern LLM agentic systems and traditional ML frameworks. You should have a proven track record of delivering systems with measurable quality metrics and a tangible business impact, alongside a strong grasp of evaluation methodologies that prioritize product goals. Familiarity with large-scale retrieval, ranking, NLP, or personalization systems is highly desirable.Your ResponsibilitiesDesign and implement cutting-edge AI/ML systems that enhance matchmaking, ranking, and automation within the Paraform marketplace.Oversee the complete model development lifecycle, from data collection and labeling strategies through to deployment, monitoring, and iterative improvements in production.Collaborate closely with product managers, AI engineers, and full-stack teams to deliver systems that significantly affect marketplace metrics.Establish and sustain robust evaluation frameworks to continuously assess quality, bias, reliability, and business impact.Set the technical direction and establish best practices for AI/ML at Paraform.Mentor fellow engineers, elevating the standards of design, deployment, and maintenance of AI systems.About paraform:Paraform is revolutionizing the hiring market—one of the largest and most fragmented industries globally. We collaborate with renowned industry leaders such as Cursor, Palantir, Windsurf, Decagon, Shopify, Coinbase, and Hightouch to attract world-class talent. Our rapid growth, exemplified by an 8x increase in revenue last year, underscores our success.As the first all-in-one AI recruiting marketplace, Paraform connects companies with thousands of specialized recruiters and AI agents to streamline the hiring process, making it faster and more precise.Our mission is to enhance hiring efficiency, reliability, and scalability for every organization worldwide.At paraform, we believe the best recruiting occurs when the right talent addresses the right challenges, blending human insight with AI that comprehends hiring intricacies. Hence, we are laying a new foundation for recruitment that unites specialized recruiters with advanced AI tools.

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.

Join DigitalOcean as a Senior Solutions Architect II specializing in AI and Machine Learning. In this pivotal role, you will leverage your expertise to design and implement innovative solutions that drive our customers' success. You'll collaborate with cross-functional teams to ensure our clients harness the full potential of our cloud services, enabling them to scale and optimize their operations effectively.

About FaireFaire is a revolutionary online wholesale marketplace that champions the belief that the future of retail is local. Independent retailers worldwide generate more revenue collectively than giants like Walmart and Amazon, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we facilitate their access to exceptional products from around the globe. By providing the right tools and insights, we aim to level the playing field, enabling small businesses everywhere to thrive against e-commerce giants.By nurturing the growth of independent businesses, Faire is making a significant economic impact in local communities, worldwide. We seek intelligent, resourceful, and passionate individuals to join us in driving the shop local movement. If you believe in the power of community, we invite you to become a part of ours.About this RoleAs a Senior Applied AI/ML Scientist within the Search group, you will play a pivotal role in shaping the technical vision and machine-learning strategy that drives one of our core growth areas: Search. You will enhance real-time Search and Recommendation systems that deliver next-generation shopping experiences.You'll be at the forefront of algorithm development, integrating large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized product suggestions for every user query.This is a unique opportunity to influence end-to-end personalization in a high-scale, multi-modal environment while collaborating closely with a talented team of scientists and engineers.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

About LanceDBLanceDB is an innovative, developer-centric, open-source data lake designed for multimodal AI applications. From ultra-scalable vector search capabilities to sophisticated retrieval processes for RAG, LanceDB serves as the cornerstone for your AI applications, enabling the development of groundbreaking solutions and addressing complex requirements in today's tech landscape.About the RoleWe are seeking a highly skilled Senior Solutions Engineer who merges a profound technical comprehension of AI/ML infrastructure with exceptional communication and solution development skills. In this pivotal role, you will act as a trusted advisor to potential customers, design partners, and key accounts, effectively connecting cutting-edge AI engineering with practical business use cases.This position is perfect for individuals who excel at the crossroads of technical expertise and customer engagement, relishing the opportunity to create tailored solutions, demonstrations, and integrations that highlight LanceDB’s capabilities in production settings.Your Responsibilities Will IncludeLead technical discussions in pre-sales environments—collaborating with account executives to define, design, and articulate the advantages of LanceDB tailored to specific customer workflows.Conduct technical discovery and architecture design sessions with prospects spanning various sectors, including AI infrastructure, LLM operations, and multimodal data pipelines.Create and present custom demonstrations and proof-of-concepts to showcase how LanceDB addresses complex challenges related to RAG, vector search, and feature engineering.Serve as a liaison between customer challenges and our engineering/product teams—providing insight that informs roadmap priorities based on real-world feedback.Collaborate closely with design partners and early adopters to ensure successful onboarding and expansion of the product.Promote an exceptional developer experience with a keen focus on documentation, SDK usability, and integration workflows.RequirementsYou thrive in a dynamic, fast-paced startup atmosphere and enjoy collaborating with high-caliber teams.You possess 5+ years of experience in roles such as Sales Engineer, Solutions Engineer, ML Engineer, or in AI Infrastructure, specifically dealing with AI/ML products or platforms.A strong understanding of AI/ML frameworks like PyTorch and TensorFlow, along with their integration into infrastructure for model training, fine-tuning, and inference.