Apollo.io
Senior GTM Systems Engineer
$138K–$198K
Remote, United States +1 · Remote · Senior · Full-time · Posted Aug 4, 2026
- Location
- Remote, United States
United States - Experience
- 4+ years of business analysis or consulting experience, plus 4+ years of hands-on Salesforce platform experience.
- Education
- College degree in a technical field, or equivalent work experience.
About the job
Own Salesforce architecture and GTM systems for a business domain, delivering scalable processes, quote-to-cash infrastructure, and AI-enabled workflows across Apollo’s revenue teams.
What you'll do
- Serve as the systems partner and SME for a GTM domain; maintain architecture documentation, prioritize work, and lead alignment and backlog sessions.
- Design, build, test, and maintain Salesforce systems and integrations, including automation, user access, data operations, and end-user support.
- Partner on quote-to-cash improvements and AI-driven GTM solutions, from solution design through rollout and feedback.
What they ask for
- 4+ years of business analysis or consulting experience and 4+ years of hands-on Salesforce administration or development experience.
- College degree in a technical field, or equivalent work experience.
- Hands-on Salesforce experience with custom fields and objects, roles, profiles, permission sets, sharing settings, automation, and Data Loader.
- Experience delivering end-to-end system implementations and making architecture decisions amid ambiguity.
Nice to have
- Salesforce Administrator certification; experience with Sales Cloud, CPQ, and Service Cloud.
- Experience in Salesforce environments with 100+ users or at high-growth companies.
Pay
$159,000 — $198,000 USD (total cash compensation); $138,000 — $172,000 USD (total cash compensation)
Tools
Salesforce, Flow, Process Builder, Data Loader, Apex, LWC, Chili Piper, Ironclad
AI focus
Use AI-assisted development tools; structure GTM systems and data for AI interpretation; help design and roll out AI agents and workflows, including call coaching, deal scoring, demo automation, and CRM data capture; validate AI-generated changes to protect data integrity.
Model-written summary · the original posting is authoritative