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GTM Systems Analyst
Scale AI · San Francisco, CA
Apply on greenhouse →Role Purpose
This role closes that gap with a hire that is meaningfully more than a Salesforce admin: a technical Business Systems Analyst who functions as product owner for the Public Sector Salesforce environment and a builder across Workato and AI tooling for the broader org. The bet is that one stakeholder-facing, AI-fluent operator delivers more leverage than a second pure Salesforce admin.
What You'll Do
• Architect the GTM systems stack for Public Sector — Salesforce, CPQ, contract lifecycle, partner portals, billing — including the integration fabric that connects them to Snowflake, NetSuite, and downstream operational tools.
• Build and ship AI-powered automations and agents that accelerate the Public Sector sales cycle (e.g., RFP response automation, compliance attestation workflows, deal desk acceleration).
• Own integration design across Salesforce, Workato, Fivetran, Snowflake, and emerging AI platforms (MCP servers, internal agents) — including auth model, data flow, and audit posture.
• Partner with Public Sector GTM leadership, deal desk, finance, legal, and compliance to translate ambiguous business requirements into systems that scale.
• Stand up and operate the systems-side controls required for FedRAMP/IL-tier and CMMC-aligned operations — access management, audit logs, data residency, and segregation from commercial environments where required.
• Establish the patterns and reusable components that allow the Public Sector systems stack to extend cleanly to commercial and other regulated verticals.
Required Experience
• U.S. citizenship (non-negotiable — required for public sector customer engagements).
• 5+ years building and operating GTM/business systems at a SaaS or enterprise software company, with deep Salesforce platform experience
• Proven experience designing and shipping integrations across the GTM stack — iPaaS (Workato, MuleSoft, Boomi, or equivalent), event-driven architectures, REST/GraphQL APIs, and warehouse-native patterns (Snowflake, dbt, reverse ETL).
• Demonstrated experience embedding AI/LLM tooling into business workflows — agents, copilots, retrieval pipelines, MCP servers, or equivalent. Real production deployments, not just experiments.
• Strong cross-functional collaboration with sales, deal desk, finance, legal, and compliance — comfortable being the systems person in the room with deal team and counsel.
Nice to Have
• Direct experience with Salesforce Government Cloud / Government Cloud Plus.
• CPQ experience (Salesforce CPQ, Conga, or equivalent) and contract lifecycle management (Ironclad, DocuSign CLM).
• Familiarity with the Anthropic / Claude API, MCP protocol, or other agentic frameworks Scale is adopting.
• Prior experience at a federal systems integrator, defense prime, or public-sector-heavy SaaS (Palantir, Anduril, GovCIO, Booz Allen, etc.).
• Active or recently active U.S. security clearance (Secret or above) — not required at hire but advantageous for some customer engagements
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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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 sa
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