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Director, GTM Architecture

Оценка ИИ

Высокая оценка обусловлена сильной финансовой позицией компании (Series D), конкурентной зарплатой и возможностью работать с передовыми технологиями (AI, Clay, Sigma). Роль предполагает высокую степень влияния на бизнес-процессы и инновационную культуру.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких технических навыков (Salesforce Architect, SQL, Clay) и стратегического лидерства. Кандидат должен уметь не просто настраивать инструменты, а проектировать сложные экосистемы и заменять стандартные SaaS-решения внутренними разработками.

Анализ зарплаты

Медиана205 000 $
Рынок180 000 $ – 240 000 $
Оценка ИИ

Предлагаемый диапазон $190k - $220k полностью соответствует рыночным стандартам для позиций уровня Director в сфере RevOps и GTM Architecture в Нью-Йорке. С учетом опционов и бонусов совокупный доход может значительно превышать медиану рынка.

Сопроводительное письмо

I am writing to express my strong interest in the Director, GTM Architecture position at Sigma Computing. With over 8 years of experience in revenue operations and systems design, I have developed a 'builder-first' mindset that aligns perfectly with Sigma's vision of treating the GTM stack as a scalable product. My expertise in architecting complex Salesforce environments and leveraging Clay for advanced outbound automation has consistently driven measurable growth and operational efficiency in my previous roles.

What excites me most about this opportunity is the 'Sigma on Sigma' initiative. I am a firm believer that the data warehouse should be the source of truth for GTM logic, and I have a proven track record of replacing legacy SaaS tools with internal, data-driven solutions. I am eager to bring my technical mastery of SFDC, SQL, and signal-based orchestration to Sigma to help build a resilient, AI-powered revenue engine that sets a new industry standard.

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Присоединяйтесь к Sigma Computing, чтобы возглавить архитектуру GTM-систем нового поколения и внедрять инновации на стыке данных и AI!

Описание вакансии

At Sigma, our GTM stack is our product’s first and most important proving ground. As the Director, GTM Architecture, you are the lead architect of our revenue engine. You will own the technical design, integration logic, and data integrity of our entire GTM ecosystem. We are looking for a "Builder-First" leader—someone who is an expert in Salesforce and Clay, and who views the tech stack not as a collection of apps, but as a scalable, automated platform for growth. This role will report to VP Revenue Operations.

What You’ll Be Doing:

  1. GTM System Architecture & Design
  • Technical Blueprinting: Design and maintain the end-to-end architecture of the GTM stack (Salesforce, Clay, Outreach, LeanData, 6sense, etc.), ensuring all systems are extensible, resilient, and strategically aligned.
  • SaaS Takeout Engineering: Partner with the Data and Data Engineering teams to build internal, Sigma-driven replacements for legacy SaaS tools, moving logic into the data warehouse where it belongs.
  • Lead & Account Orchestration: Architect sophisticated, signal-based routing and territory management flows that ensure the right opportunities reach the right reps at the right time.
  1. Expert-Level Tool Strategy (Clay & SFDC)
  • Clay Mastery: Act as the internal lead for Clay, building advanced outbound and enrichment waterfalls that leverage AI and multi-source data to create a competitive advantage for our SDR and AE teams.
  • Salesforce Ownership: Oversee the SFDC instance as a strategic asset, ensuring custom objects, flows, and integrations are built for long-term scalability rather than short-term fixes.
  • The "Sigma on Sigma" Vision: Become the resident expert on using Sigma to power GTM. Identify and build new internal use cases where Sigma acts as the "intelligence layer" for our architectural decisions.
  1. Data Governance & Signal Activation
  • Data Flow Integrity: Work closely with Data Engineering to ensure high-integrity data pipelines feed our GTM systems. Own the logic for data enrichment, de-duplication, and firmographic accuracy.
  • Signal Activation: Translate GTM strategy into technical "signals"—ensuring intent data, product usage, and firmographics trigger the correct automated workflows across the stack.
  1. Tech Stack ROI & Lifecycle
  • Stack Consolidation: Ruthlessly evaluate the ROI of every tool. Identify overlaps and lead the migration or sunsetting of redundant technologies.
  • Vendor Management: Own the technical relationships and contract negotiations for all GTM platforms, ensuring our stack evolves alongside our business needs.

Who You Are:

  • The Systems Visionary: You don’t just "fix" tools; you design systems. You understand how a change in a Clay waterfall impacts a Salesforce report and a downstream Sigma dashboard.
  • Expert Builder: You are a power user of Salesforce (Flows, CPQ, etc.) and Clay. You enjoy the "puzzle" of connecting disparate APIs and data sets into an elegant workflow.
  • Data-First Thinker: You believe that a clean data warehouse is the foundation of a successful GTM motion. You are comfortable speaking SQL and collaborating with Data Engineers on complex schemas.
  • High-Velocity Operator: You thrive in a fast-paced environment where the "right" answer today must also be the "scalable" answer for next year.

Qualifications:

  • 8+ years of experience in GTM Systems, Revenue Architecture, or Sales Ops Technology.
  • Technical Mastery: Deep, hands-on expertise in Salesforce (Admin/Architect level) and Clay. Experience with LeanData, Outreach, LeadIQ, and Zoominfo is highly preferred.
  • Engineering Mindset: Proven track record of building custom internal solutions or "takeouts" to replace rigid off-the-shelf software.
  • Collaborative Leader: Ability to partner with Sales, Marketing, and Engineering leaders to define a unified technical roadmap.
  • Sigma Fluent: Proficiency with modern BI tools (Sigma preferred) and a strong grasp of data modeling and SQL.

Bonus Points

  • AI/Automation Pioneer: Experience deploying LLM-powered agents or autonomous GTM workflows (e.g., using Clay or custom Python scripts).
  • Developer Mindset: Experience with Apex, SOQL, or low-code/no-code application development.
  • Community/Network: Active involvement in the RevOps or GTM leadership community.

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 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.

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Навыки

  • Salesforce
  • Clay
  • SQL
  • LeanData
  • Outreach
  • 6Sense
  • Python
  • Apex
  • SOQL
  • Data Modeling
  • SaaS
  • CRM
  • Business Intelligence

Возможные вопросы на собеседовании

Проверка стратегического мышления и понимания архитектуры данных.

Опишите ваш подход к проектированию GTM-стека, где логика переносится из разрозненных SaaS-приложений в централизованное хранилище данных. С какими основными трудностями вы сталкивались?

Sigma ищет эксперта по Clay для автоматизации GTM.

Расскажите о самом сложном сценарии использования Clay, который вы реализовали. Как вы интегрировали многоканальные данные и AI для создания конкурентного преимущества?

Оценка навыков управления изменениями и технического лидерства.

Как вы подходите к оценке ROI текущего технологического стека и каков ваш процесс принятия решения о выводе из эксплуатации (sunsetting) устаревших инструментов?

Проверка навыков работы с данными и SQL.

Приведите пример, когда вам приходилось работать напрямую с инженерами данных для оптимизации схемы данных GTM. Как это повлияло на точность сигналов и активацию лидов?

Проверка соответствия культуре 'Builder-First'.

Был ли у вас опыт создания собственных инструментов или скриптов (например, на Python или Apex) для замены платных решений? Каков был результат для бизнеса?

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sigmacomputing
Страна
США
Зарплата
190 000 $ – 220 000 $