GTM Architect

· Remote

Location

Remote

Type

Full Time

Job Description

GTM Architect

Reposted 8 Hours Ago
Easy Apply
Be an Early Applicant
San Francisco CA USA
In-Office
176K-220K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
Design and run Scale AI's enterprise GTM operating model and RevOps stack. Own metrics forecasting compensation dashboards and sales cadences; partner with cross-functional leaders to drive predictable enterprise revenue growth and eventually build a GTM/RevOps team.
Summary Generated by Built In

The GTM Architect Enterprise will report to the Head of Enterprise GTM and will own the operating systems measurement and engagement model that power Scale AI’s enterprise revenue motion. This role is responsible for designing and running the enterprise GTM architecture across RevOps sales performance and cross-functional execution ensuring Scale’s largest and most strategic accounts are engaged with rigor consistency and impact.

This is a senior highly visible role that partners closely with Enterprise Sales leadership Finance Marketing Product and Solutions Engineering. The GTM Architect will bring a strong point of view on how Scale engages enterprise accounts how performance is measured and how teams operate day-to-day to drive predictable growth. Over time this role will have the opportunity to build and lead a GTM / RevOps team.

In this role you will:
  • Own and evolve Scale’s enterprise GTM operating model including account engagement strategy funnel design and sales execution standards
  • Design and manage the enterprise RevOps systems stack (e.g. CRM forecasting reporting planning tools) to support scalable growth
  • Define track and operationalize core enterprise GTM metrics across pipeline health deal velocity forecast accuracy and rep productivity
  • Establish and run sales operating cadences including pipeline reviews forecast calls QBRs and performance reviews
  • Partner with Sales Leadership and Finance to design implement and maintain enterprise sales compensation plans including quota governance and attainment reporting
  • Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility
  • Serve as a strategic thought partner to Enterprise Sales leaders bringing a strong opinion on how accounts should be covered prioritized and engaged
  • Act as the connective tissue across Sales Marketing Finance Product and Solutions Engineering for enterprise GTM planning and execution
  • Support annual and quarterly planning efforts including territory design capacity modeling headcount planning and quota setting
  • Ensure data integrity process clarity and operational discipline across all enterprise GTM motions
  • Initially operate as a senior individual contributor with a clear path to hiring developing and leading a high-impact GTM / RevOps team
Ideally You Will Have:
  • 8–12+ years of experience in RevOps Sales Ops or GTM Strategy roles with deep exposure to enterprise sales environments
  • Experience supporting complex multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies
  • Proven ownership of sales systems forecasting and performance measurement at scale
  • Hands-on experience designing and managing enterprise sales compensation plans and reporting
  • Strong understanding of enterprise GTM metrics planning cycles and operating cadences
  • A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale
  • Comfort influencing senior sales leaders and executives without direct authority
  • Excellent written and verbal communication skills including experience building executive-level materials and dashboards
  • Strong command of GTM systems and tools (e.g. Salesforce Clari planning and reporting tools)
  • High attention to detail paired with the ability to operate at a strategic altitude
  • Demonstrated ability to operate as a senior IC with the ambition and capability to build and lead a team over time
  • Technical curiosity or experience working alongside technical products and teams; familiarity with AI ML or data platforms is a plus

Compensation packages at Scale for eligible roles include base salary equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position determined by work location and additional factors including job-related skills experience interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including but not limited to: Comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:
$176000$220000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Cisco DLA Piper Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Top Skills

AI
Clari
CRM
Data Platforms
Forecasting Tools
Ml
Planning Tools
Reporting Tools
Salesforce
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The Company
San Francisco CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.

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Date Posted

04/05/2026

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