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USD 190,000 - 220,000 / yearlySalario publicado en este anuncio.
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Resumen del puesto por JobGrid
Director, GTM Architecture at sigmacomputing: San Francisco, Estados Unidos; Presencial; Operaciones y gestión de proyectos; USD 190,000 - 220,000 / yearly. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: San Francisco, Estados Unidos, Presencial
- Role classification: Operaciones y gestión de proyectos
- Employer salary shown on the listing: USD 190,000 - 220,000 / yearly
- Source freshness: checked by JobGrid on 2026-05-29.
At Sigma, our GTM stack is our product's first and most important proving ground. The Director, GTM Architect is the lead architect of our revenue engine — responsible for the technical design, integration logic, and data integrity of the entire GTM ecosystem.
This is not a traditional ops role. We're looking for a builder-first leader: someone who views the tech stack not as a collection of apps, but as a scalable, automated platform for growth. Reporting directly to our VP of Revenue Operations, you'll define the architectural strategy for how Sigma goes to market — owning the technical vision and translating it into the systems, integrations, and automation that power every stage of our revenue motion.
What You'll Own:
GTM System Architecture
- Design and maintain the end-to-end architecture of the GTM stack (Sigma, Salesforce, Clay, Outreach, LeanData, Zoominfo, and others), ensuring systems are extensible, resilient, and aligned to revenue strategy.
- Architect signal-based lead and account routing, territory management, and opportunity orchestration — ensuring the right signals reach the right reps at the right time.
- Partner with Data Engineering to build internal, Sigma-powered replacements for legacy SaaS tools, migrating logic into the data warehouse where it delivers more flexibility and lower cost. We call this "SaaS Takeout" — systematically replacing point solutions with composable, warehouse-native workflows.
Salesforce & Enrichment Platform Strategy
- Own the Salesforce instance as a strategic asset. Design custom objects, flows, and integrations built for long-term scalability — not short-term patches.
- Lead the design of advanced outbound and enrichment workflows (Clay), building multi-source data waterfalls that give our SDR and AE teams a measurable competitive advantage.
- Evaluate and evolve enrichment and orchestration tooling as the landscape shifts, ensuring we're always leveraging best-in-class capabilities rather than locked into a single vendor.
The "Sigma on Sigma" Vision
- Become the resident expert on using Sigma to power our own GTM motion. Today, that means building live dashboards that replace static reports and embedding Sigma into operational workflows. Tomorrow, it means using Sigma as the intelligence layer that informs routing logic, territory design, and pipeline strategy.
- Identify and build new internal use cases that showcase what's possible when a BI tool is treated as infrastructure, not just reporting.
Data Governance & Signal Activation
- Ensure high-integrity data pipelines feed every GTM system. Own the logic for enrichment, de-duplication, and firmographic accuracy in close partnership with Data Engineering.
- Translate GTM strategy into automated, signal-driven workflows — ensuring intent data, product usage signals, and firmographics trigger the right actions across the stack.
Tech Stack ROI & Vendor Management
- Rigorously evaluate the ROI of every tool in the stack. Identify overlap, lead migrations, and sunset redundant technologies with a clear business case.
- Own technical vendor relationships and contract negotiations for all GTM platforms, ensuring the stack evolves alongside business needs.
Who You Are:
- Systems Designer: You think in architectures, not apps. You understand how a change in an enrichment waterfall impacts a Salesforce report, a downstream dashboard, and a rep's daily workflow.
- Data-First Thinker: You believe a clean data warehouse is the foundation of a successful GTM motion. You're comfortable in SQL and energized by collaborating with Data Engineers on complex schemas.
- High-Velocity Operator: You thrive in fast-paced environments where today's solution must also be next year's scalable answer.
- Builder by Default: You'd rather build the elegant solution than buy the convenient one.
Required Qualifications:
- 8+ years of experience in GTM Systems, Revenue Architecture, or Sales/Revenue Operations Technology.
- Deep, hands-on expertise in Salesforce at an Admin or Architect level (Flows, CPQ, custom objects, integrations).
- Strong experience designing enrichment and outbound automation workflows (Clay, or comparable platforms).
- Hands-on experience deploying LLM-powered automation and AI-native tools in a GTM context — not just prototypes, but workflows running in production that measurably impact pipeline or efficiency.
- Proficiency with modern BI tools (Sigma strongly preferred)
- Ability to partner effectively with Sales, Marketing, Data, and Engineering leaders to define and execute a unified technical roadmap.
- Proven experience managing and developing a team of technical professionals (analysts, admins, contractors), including setting standards, running prioritization, and balancing hands-on building with people leadership.
Preferred Qualifications:
- Experience with LeanData, Outreach, LeadIQ, ZoomInfo, or 6sense.
- Active involvement in the RevOps or GTM systems community (writing, speaking, mentoring, or open-source contribution).
- Experience leading or mentoring technical ops professionals, including Salesforce admins and analysts.
Additional Job details
The base salary range for this position is $190k - $220k 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 agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.
Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.
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 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, veteran, or any other protected 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, London and Sydney.
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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.