Sigma Computing

Manage revenue cycle operations, including contract review, revenue recognition, billing, and reconciliation, while improving processes and ensuring compliance. | 5+ years in accounting with ERP experience, revenue cycle expertise, automation skills, and strong organizational and communication abilities. | Sigma Computing is looking for a Revenue Manager to join our accounting team based in San Francisco, CA. This individual will report to the Sr. Director of Accounting and perform a critical role in day-to-day operation and monthly tasks including account reconciliations, subledger maintenance in revenue cycle. The ideal candidate will be detail-oriented, organized, a self-starter, and have knowledge of US GAAP related to revenue recognition as well as sales tax compliance in the US. Hands-on automation experience is strongly preferred. We are seeking a candidate who can ramp up quickly and make an impact in a highly dynamic and fast paced environment. IN THIS ROLE, YOU WILL: Perform customer contract reviews and analysis, including contract modifications, to ensure appropriate revenue recognition treatment under ASC 606 Prepare supporting schedules to ensure all contracts and modifications are properly analyzed and documented, and the resulting revenue calculations align with the technical accounting conclusions and the Company’s revenue policies Own accurate and timely billing operations, including review of sales taxes on invoices Own sales tax compliance review to review exposure periodically Maintain revenue accounting records in the system up to date. Contribute to the month-end close process including journal entries, account reconciliations and fluctuation analysis related to revenue cycle. Responsible for end-to-end reconciliation of transactions from four marketplaces into ERP and CMS Work closely with FP&A to assist their revenue forecast and Budget vs. Actual analysis Assist on monthly and quarterly reporting package preparation Respond to ad hoc management requests related to revenue cycle Seek continuous process improvement in day-to-day activities. QUALITIES WE’RE LOOKING FOR Must-Haves: 5 + years of accounting experience of combination of public accounting and in-house/corporate accounting 5 + years of experience working with ERP/General Ledger Systems, preferably NetSuite 5 + years of experience working with Revenue functions (ASC 606 and AR) Strong proficiency in MS Excel with the ability to navigate large data set Accounting automation and implementation/integration experience Proven project management experience and demonstrated ability to drive operational efficiency Willing to be hands-on and open to take on tasks when needed Detail-oriented with excellent organizational skills Ability to gather, interpret and analyze relevant data and information, to apply proper accounting and operational procedures. Proactive and contributive; takes initiative and follows-through reliably. Strong written and verbal communication skills Strong interpersonal skills and professional demeanor Self-motivated and dedicated; able to work and problem-solve independently. Ability to manage multiple projects, prioritize and meet deadlines Ability to work well in a team environment and promote inclusiveness and communication among team members. Pluses: CPA license NetSuites and/or Salesforce experience Revenue accounting experience in SaaS business is preferred Revenue operations experience in marketplace environments is preferred Experience in contributing to the US GAAP financial audit Regular problem-solving of unique revenue or receivable transactions with a focus on how the resolution contributes to the accuracy of the financial record. Additional Job details The base salary range for this position is $140k - $150k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Own and deliver improvements in platform performance, scalability, and reliability for Sigma's data infrastructure. | 6+ years in product management with technical depth in databases, distributed systems, and cloud infrastructure, with experience in B2B SaaS or data platforms. | About the Role Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. As Sigma scales to support larger enterprises and more demanding workloads, we’re looking for a Senior Product Manager, Platform Performance & Infrastructure to own critical backend capabilities that power every Sigma experience. In this role, you will be responsible for defining and delivering product improvements across workbook performance, query lifecycle, compute and caching, metadata services, compiler components, and new warehouse connectors. These systems are foundational to Sigma’s ability to scale reliably and deliver fast, predictable performance for enterprise customers. You’ll work closely with platform engineering teams and cross-functional partners to translate performance and scalability challenges into clear product priorities and shipped outcomes. This role is ideal for a technically strong Senior PM who enjoys working deep in the stack while staying grounded in customer impact. This role is 4 days on-site in our San Francisco office. Key Responsibilities Own a core platform area Own the product roadmap for Sigma’s performance and infrastructure surface area, including query execution, compute and caching, metadata services, compiler-related components, and connectors. Ensure platform investments directly improve workbook performance, reliability, and scalability. Drive execution and delivery Partner closely with engineering to scope, prioritize, and deliver improvements across latency, concurrency, throughput, and cost efficiency. Break down complex technical initiatives into clear milestones and incremental wins. Own the query lifecycle Define product requirements across the query lifecycle — from generation and compilation to execution, caching, and results delivery. Balance tradeoffs across performance, correctness, debuggability, and cost. Support enterprise scale Identify platform gaps impacting large customers, high-concurrency workloads, and embedded analytics use cases. Work with Customer Success, Support, and Sales Engineering to understand and address real-world performance issues. Enable extensibility Contribute to the strategy and prioritization of new data connectors and platform extensions in partnership with engineering. Be a strong cross-functional partner Communicate platform priorities clearly to engineering, design, GTM, and leadership stakeholders. Represent platform tradeoffs and decisions in planning and execution forums. Measure impact Define and track success metrics related to performance, reliability, and customer experience. Use data and feedback to guide prioritization and iteration. Qualifications Product Management Experience 6+ years of product management experience in B2B SaaS, data platforms, analytics, infrastructure, or developer-facing products. Experience owning and delivering technically complex product areas. Technical Depth Strong understanding of databases, distributed systems, query engines, caching, APIs, and cloud infrastructure. Comfortable engaging in technical discussions with engineers and understanding architectural tradeoffs. Customer-Centered Thinking Ability to connect backend platform work to customer outcomes and enterprise needs. Experience working with enterprise customers or high-scale systems is a plus. Execution-Oriented Proven ability to drive clarity, prioritize effectively, and deliver in ambiguous problem spaces. Strong judgment in making pragmatic tradeoffs. Communication & Collaboration Clear, concise communicator who can make complex topics understandable. Experience working cross-functionally with engineering, customer-facing teams, and leadership. Startup Mindset Action-oriented and adaptable, with comfort operating in a fast-moving environment. Additional Job Details The base salary range for this position is $180k – $210k annually, plus competitive equity and benefits packages. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the Total Package provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Leading multiple product engineering teams, building platforms for less-technical users, and fostering innovation. | 10+ years of engineering management, 5+ years of organizational management, strong technical and product sense, ability to work across paradigms, and experience in building scalable platforms. | Senior Director of Engineering About the role: The Director of Engineering, Products is responsible for leading the Core Product Engineering Teams for the company. You will lead multiple teams building our core data AI Apps functionality. You will be reporting to the SVP of engineering. Your past experience in pushing to build the right things is critical in this role. What you will be doing: Be product oriented as well as a strong people manager, striving for excellence on both fronts. Train, coach, and hire to grow your team as needed to support company goals, instilling a sense of urgency in its operation. Work effectively with other functions to build and improve our development and processes. Communicate plans and status well across the company. You: Understands simplicity and how to build platforms for less-technical users. Are a manager with 10 years of engineering management experience of product teams and 5 years of organizational management (e.g. 2nd level management experience) Are opinionated and have great product sense. Are curious, love to learn and to dig into new technologies and can pick them up quickly Demonstrate strong technical architecture and engineering skills along with the ability to switch between technology paradigms. Love working with world-class engineers, product managers, and architects. Strive to excel, innovate and take pride in your work Additional Job details The base salary range for this position is $305k - $355k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Leading engineering teams, devising product development strategies, and fostering team growth. | Over 5 years of technical experience, 2+ years of people management, strong technical architecture skills, and a proven track record in building high-performing teams. | Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. As we grow the engineering team, we are looking for engineering leaders who want to build great products, devising product development, prioritization and execution strategy as well as developing a strong team providing career development, coaching, mentoring, performance evaluations, developing promotion cases, and other managerial responsibilities. About the role: We are looking for a self motivated, engineering leader eager to lead engineering teams with high performing engineers. You will need to be comfortable working in a fast-paced environment and support your teams to deliver incrementally against our roadmap. What you will be doing: Collaborate with cross-functional groups, executive team, field teams to devise business impact product strategy Enable the team to realize their potential and set them for achieving their career development goals Own execution and delivery of roadmaps, to help setup the business and your team for success Partner with the staffing team to recruit and build performing team Instill a strong sense of ownership and accountability within the team wherein members hold each other to a high bar Participate in discussions pertaining to the architecture and implementation techniques to represent, translate and optimize user directives into optimized queries You: Love working with world-class engineers, product managers, and architects to solve complex problems and enable business impact Have 5+ years of technical experience and 2+ years of people management experience Are opinionated and have great product sense make data driven decisions when unblocking the business Have hired, and developed high performing engineering teams Are curious, love to learn and to dig into new technologies to apply them when solving technical challenges Have demonstrated strong technical architecture and engineering skills along with the ability to switch between technology paradigms Have strong computer science fundamentals Additional Job details The base salary range for this position is $230k - $270k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Leading multiple product engineering teams, building platforms for less-technical users, and collaborating across functions to improve development processes. | 10+ years of engineering management experience, 5+ years of organizational management, strong technical and product sense, ability to work with world-class engineers and product managers. | Senior Director of Engineering About the role: The Director of Engineering, Products is responsible for leading the Core Product Engineering Teams for the company. You will lead multiple teams building our core data AI Apps functionality. You will be reporting to the SVP of engineering. Your past experience in pushing to build the right things is critical in this role. What you will be doing: • Be product oriented as well as a strong people manager, striving for excellence on both fronts. • Train, coach, and hire to grow your team as needed to support company goals, instilling a sense of urgency in its operation. • Work effectively with other functions to build and improve our development and processes. • Communicate plans and status well across the company. You: • Understands simplicity and how to build platforms for less-technical users. • Are a manager with 10 years of engineering management experience of product teams and 5 years of organizational management (e.g. 2nd level management experience) • Are opinionated and have great product sense. • Are curious, love to learn and to dig into new technologies and can pick them up quickly • Demonstrate strong technical architecture and engineering skills along with the ability to switch between technology paradigms. • Love working with world-class engineers, product managers, and architects. • Strive to excel, innovate and take pride in your work Additional Job details The base salary range for this position is $305k - $355k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth. Come join us! Benefits For Our Full-Time Employees: • Equity • Generous health benefits • Flexible time off policy. Take the time off you need! • Paid bonding time for all new parents • Traditional and Roth 401k • Commuter and FSA benefits • Lunch Program • Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma's use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Lead multiple areas of product design, define future vision, and collaborate across teams to create world-class data analytics experiences. | Requires 12+ years in interaction design, a strong portfolio, expertise in Figma, and experience leading complex projects in a startup environment. | Sigma’s vision is to create an insight-driven world where people and organizations are transformed for the better by access to data and the insights it contains. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct analysis and graph data -- all without any programming involved. We are growing the product design team and looking for a designer who has the curiosity to get to know our users and the chops to design world-class experiences. You will be part of a talented team of designers on a shared mission to make data analytics highly usable and easily accessible to non-technical users. What You Will Be Doing You’ll lead multiple areas of our product and help to define the future of data analytics You’ll be working with a talented, down to earth set of data obsessed people who iterate, learn, grow, and ship value to customers together Your simple and elegant designs will delight business users’ as they explore data and generate insights You'll own areas of the product from design concept to their release Working with our PM, research, customer success and support teams, you will actively seek end-user product feedback and collaboratively advance solutions to improve product adoption and utilization Qualifications We Need 12+ years experience of interaction design Experience driving Vision and future thinking while at the same time dealing with day to day gradual improvements Experience leading multiple areas and presenting new directions to leadership Demonstrably strong interaction design fundamentals with a flair for visual appeal Proven track record of designing commercially successful, world-class software Capable of working autonomously, leading complex design projects and delivering high quality design solutions Capable of rapid iteration, feedback cycles, and experimentation. Seeks understanding of customer needs and the ability to assess and incorporate their feedback Demonstrable ability to think about entire systems, with the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally Exceptional facilitation, communication and presentation skills; demonstrating the ability to clearly explain design decisions to anyone in the company Bachelor or Masters with specialization in HCI, Interaction Design or related field Expert on Figma Startup experience Strong portfolio showcasing product design work with an emphasis on interaction design Portfolio Requirements We want to see designs that have been successfully released that demonstrate system-wide thinking, breadth and depth in interactive design skills We want to see your process and progressive evolution of your designs, including the business problem you were trying to solve, constraints and assumptions you needed to work within, where the design started and your significant iterations leading to the final product. We want to understand how your designs furthered company objectives while meeting user needs The base salary range for this position is $210,000 - $250,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Design and operationalize lifecycle marketing systems to drive pipeline and ARR, including strategy, system design, and hands-on execution. | Extensive experience in lifecycle or revenue marketing within B2B SaaS, with proficiency in CRM, marketing automation, analytics, and AI-enabled workflows. | Sigma is hiring its first Senior Revenue Marketing Manager to design, build, and operationalize lifecycle marketing as a cohesive system, not a set of disconnected tactics. This role provides central ownership and accountability for how prospects and customers are guided from first touch through activation, expansion, and long-term value. In this role, you’ll architect the strategy and operating model that translates marketing activity into predictable pipeline and ARR—using thoughtful lifecycle design, modern attribution, intelligent automation, and AI-enabled insights. You’ll ensure marketing operates with clarity, speed, and trust across teams, with shared definitions, measurable conversion points, and closed-loop learning. This is a true builder role. You’ll define the blueprint, prove impact quickly, and scale it into a durable system that becomes a core advantage for Sigma’s go-to-market engine. Responsibilities Lifecycle & Revenue Marketing Strategy: Lead a cross-functional initiative to deliver a single source of truth for funnel metrics and attribution Define and document lifecycle stages with measurable conversion rates from anonymous visitor, to closed-won customer, and into a Sigma champion. Identify and drive improvements in speed-to-lead and lifecycle conversion across key stages Strategy & Ownership Define and own Sigma’s lifecycle marketing strategy end-to-end Establish a clear email philosophy, governance model, and sending standards Serve as the single point of accountability for lifecycle communications across the business Lifecycle & Campaign Architecture Design and build lifecycle journeys focusing on conversion through stages Create integrated, multi-touch campaigns aligned with Sales, CS, Product, and Partnerships Ensure lifecycle programs reflect how modern B2B buyers research, evaluate, and purchase. Systems, Scale & AI Partner closely with Marketing Operations to design scalable systems, workflows, and data foundations Decide what should be automated, outsourced, or accelerated with AI Build repeatable lifecycle frameworks rather than one-off campaigns Execution Personally execute early lifecycle programs to drive quick wins and establish best practices Support newsletters and key communications across the business at scale Build and optimize event follow-up, product messaging, and customer engagement flows Deliverability & Trust Own domain health, sender reputation, and email deliverability Reduce spam complaints, unsubscribe rates, and engagement decay Protect and strengthen Sigma’s brand trust across all lifecycle touchpoints Partner on AEO, GEO, and website UI improvements to ensure consistent, high-quality buyer experiences Who You Are A lifecycle marketing leader who thinks in systems, not channels Comfortable owning both strategy and hands-on execution Analytical and outcomes-driven, with a strong understanding of funnel dynamics and buyer behavior Trusted cross-functional partner who brings clarity, structure, and momentum Energized by building from the ground up and scaling what works Required Experience & Expertise: 8+ years in Lifecycle Marketing, Revenue Marketing, Growth Marketing, or Marketing Operations within B2B SaaS Proven success driving improvements in pipeline quality, conversion rates, velocity, and ARR Deep experience designing and operating lifecycle programs across email, events, content, product signals, and sales touchpoints Modern tech stack fluency with hands-on experience in: CRM: Salesforce (or equivalent enterprise CRM) Marketing Automation: HubSpot, Marketo, Pardot, or similar Data Analytics and BI tools Intent & Enrichment: 6sense, Demandbase, Clearbit, ZoomInfo, or comparable platforms Familiarity with AI-enabled marketing workflows, automation, or advanced analytics strongly preferred The base salary range for this position is $140k - $170k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Manage revenue recognition, billing, and reconciliation processes, ensuring compliance with US GAAP and optimizing revenue operations. | 5+ years of accounting experience with a focus on revenue functions, ERP systems proficiency, automation experience, and project management skills. | Sigma Computing is looking for a Revenue Manager to join our accounting team based in San Francisco, CA. This individual will report to the Sr. Director of Accounting and perform a critical role in day-to-day operation and monthly tasks including account reconciliations, subledger maintenance in revenue cycle. The ideal candidate will be detail-oriented, organized, a self-starter, and have knowledge of US GAAP related to revenue recognition as well as sales tax compliance in the US. Hands-on automation experience is strongly preferred. We are seeking a candidate who can ramp up quickly and make an impact in a highly dynamic and fast paced environment. IN THIS ROLE, YOU WILL: Perform customer contract reviews and analysis, including contract modifications, to ensure appropriate revenue recognition treatment under ASC 606 Prepare supporting schedules to ensure all contracts and modifications are properly analyzed and documented, and the resulting revenue calculations align with the technical accounting conclusions and the Company’s revenue policies Own accurate and timely billing operations, including review of sales taxes on invoices Own sales tax compliance review to review exposure periodically Maintain revenue accounting records in the system up to date. Contribute to the month-end close process including journal entries, account reconciliations and fluctuation analysis related to revenue cycle. Responsible for end-to-end reconciliation of transactions from four marketplaces into ERP and CMS Work closely with FP&A to assist their revenue forecast and Budget vs. Actual analysis Assist on monthly and quarterly reporting package preparation Respond to ad hoc management requests related to revenue cycle Seek continuous process improvement in day-to-day activities. QUALITIES WE’RE LOOKING FOR Must-Haves: 5 + years of accounting experience of combination of public accounting and in-house/corporate accounting 5 + years of experience working with ERP/General Ledger Systems, preferably NetSuite 5 + years of experience working with Revenue functions (ASC 606 and AR) Strong proficiency in MS Excel with the ability to navigate large data set Accounting automation and implementation/integration experience Proven project management experience and demonstrated ability to drive operational efficiency Willing to be hands-on and open to take on tasks when needed Detail-oriented with excellent organizational skills Ability to gather, interpret and analyze relevant data and information, to apply proper accounting and operational procedures. Proactive and contributive; takes initiative and follows-through reliably. Strong written and verbal communication skills Strong interpersonal skills and professional demeanor Self-motivated and dedicated; able to work and problem-solve independently. Ability to manage multiple projects, prioritize and meet deadlines Ability to work well in a team environment and promote inclusiveness and communication among team members. Pluses: CPA license NetSuites and/or Salesforce experience Revenue accounting experience in SaaS business is preferred Revenue operations experience in marketplace environments is preferred Experience in contributing to the US GAAP financial audit Regular problem-solving of unique revenue or receivable transactions with a focus on how the resolution contributes to the accuracy of the financial record. Additional Job details The base salary range for this position is $140k - $150k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

Build and maintain customer relationships, leverage analytics to optimize platform use, and develop strategies to maximize NDR. | 7+ years in SaaS, analytics, or BI roles, with experience managing enterprise accounts, strong data problem-solving skills, and familiarity with cloud analytics platforms. | About Sigma Computing Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds. We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives. Key Responsibilities: Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts. Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights. NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support. Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention. Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives. Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base. Required Skills / Experience: Bachelor’s or Master’s degree in Business, Analytics, Computer Science, or a related field. 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry. Experience navigating complex enterprise sales environments with multiple priorities and stakeholders Strong analytical skills with a proven ability to solve complex problems using data. Excellent communication and interpersonal skills, with a knack for building trust and driving engagement. Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention. Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery) ETL experience Experience implementing production business intelligence solutions Startup experience Additional Job details The base salary range for this position is $132k - $165k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package. If you do not feel that you satisfy all the listed requirements, we encourage you to still apply. About us: Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences. Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth. Come join us! Benefits For Our Full-Time Employees: Equity Generous health benefits Flexible time off policy. Take the time off you need! Paid bonding time for all new parents Traditional and Roth 401k Commuter and FSA benefits Lunch Program Dog friendly office Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow. Note: We have an in-office work environment in all our offices in SF, NYC, and London. Our Privacy Practices When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada). Sigma’s use of AI This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.