GTM Engineer automating Salesforce-centered revenue workflows for Versapay, an accounts-receivable technology company. Building integrations, AI agents and outbound plays to accelerate pipeline and reduce manual work.
Responsibilities
Own the inbound path from form fill or meeting request to first rep touch and cut response time to minutes
Build lead-to-account matching, qualification and routing logic with SLAs and missed-SLA alerts
Design and automate instant follow-up, rep notifications, meeting booking and context-rich handoffs
Design signal-based plays for website visits, product or event engagement, champion job changes, and renewal or expansion triggers
Convert signals into tasks, alerts, sequence enrollments or account briefs
Partner with Marketing on campaign follow-up, event lead processing and nurture handoffs
Identify and prioritize low-value manual work by hours saved
Automate CRM hygiene, including field completion, duplicate prevention, activity capture and stage-change requirements
Build AI-assisted workflows for account research, Salesforce call summaries, follow-up email drafts and deal-risk flags
Improve account and contact data coverage and accuracy
Support evaluation and potential rollout of enrichment and orchestration platforms
Support integrations across Salesforce and other GTM tools using APIs, webhooks and workflow platforms
Follow Salesforce data-model and change-control standards
Document workflows, ownership, outputs and shutdown procedures
Own problems end to end and measure impact on hours saved and pipeline speed
Report to the VP of Revenue Operations
Requirements
4+ years in a technical GTM role such as GTM engineering, RevOps systems, marketing ops engineering or sales ops automation at a B2B SaaS company
Deep working knowledge of Salesforce: objects, fields, flows, validation rules, and lead, contact, account and opportunity data relationships
Hands-on experience building production workflows in at least one automation platform, such as n8n, Workato, Make, Zapier or Tray
Comfort with REST APIs, webhooks, JSON and authentication; able to read API docs and connect two systems without vendor help
Working scripting skills in Python or JavaScript, and basic SQL
Practical experience using LLMs in workflows: prompt design, structured outputs, testing for accuracy, and knowing when not to use AI
Track record of shipping automations that measurably saved time or improved conversion, with numbers to show it
Clear written documentation habits and judgment to build maintainable systems
Experience with Clay or similar enrichment and orchestration tools (nice to have)
Experience with lead routing and scheduling tools such as LeanData or Chili Piper (nice to have)
Experience with intent platforms such as 6sense or Demandbase (nice to have)
Familiarity with marketing automation and sales engagement platforms (nice to have)
Exposure to a data warehouse and reverse ETL such as Snowflake (nice to have)
Experience in a PE-backed or fast-scaling SaaS company, fintech, payments or AR/AP software (nice to have)
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