Senior Enterprise Business Systems Engineer

What You'll Do

Salesforce Development

• Develop and maintain scalable solutions using Apex, Lightning Web Components, Salesforce Flow, Platform Events, and APIs.
• Build toward a composable CRM model — decoupling business logic from UI, favoring APIs and events, and enabling agentic workflows across the GTM stack.
• Reduce technical debt, improve performance, and enforce engineering best practices across the platform.

Integrations & Automation

• Collaborate with integration engineers to design and build connections between Salesforce and the broader GTM ecosystem using Workato, REST APIs, webhooks, and platform events.
• Develop and maintain Salesforce-side integration patterns — event-driven triggers, API endpoints, data mapping, and error handling — that support enterprise-grade reliability.
• Partner on automation workflows that span multiple platforms, contributing CRM expertise to cross-functional integration initiatives.

GTM Technology Ecosystem

• Support and develop integrations across a modern revenue technology stack, including Salesforce, HubSpot, Fivetran, Workato, and Snowflake — as well as tools like Gong, Clari, 6sense, Qualified, Gainsight, Outreach, LeanData, and others.
• Partner with Revenue Operations, Marketing Operations, and Customer Success to keep tools optimized, data flowing cleanly, and reporting trustworthy.
• Contribute CRM and platform expertise as new tools are evaluated, onboarded, and integrated into the stack.

Data & SQL

• Write and optimize SQL queries for data analysis, reporting validation, troubleshooting, and data quality investigations related to CRM and GTM systems.
• Collaborate with the data warehousing team on Snowflake integrations, ensuring CRM and GTM data flows cleanly into the warehouse for reporting, attribution, and BI.
• Support data governance initiatives — deduplication, enrichment, and lifecycle management — across the CRM and GTM ecosystem.

Delivery & Operations

• Own technical delivery from design through deployment. Write specs, test plans, and deployment runbooks.
• Troubleshoot production issues and drive root cause analysis.
• Manage CI/CD pipelines and deployment automation using Gearset and Git.
• Mentor fellow developers through code reviews and technical guidance.

AI & Automation

• Use AI-assisted development tools to accelerate engineering while maintaining code quality and ownership.
• Identify opportunities for AI-enabled automation — agentic workflows, intelligent routing, predictive operations — with appropriate governance.
• Contribute to Nasuni's vision of an agentic GTM platform where AI agents augment routine revenue operations.

Qualifications

Must Have

• 7+ years in enterprise application engineering, including 5+ years of Salesforce development.
• Deep hands-on experience with Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud.
• Strong Apex, LWC, Salesforce Flow, and Salesforce API skills.
• Experience designing and supporting integrations between Salesforce and other SaaS platforms in a GTM ecosystem.
• SQL proficiency — comfortable writing queries for data analysis, troubleshooting, and reporting validation.
• Experience with REST APIs, event-driven integrations, webhooks, auth protocols, and data sync patterns.
• CI/CD and Git-based development (Gearset or similar).
• Salesforce Platform Developer I + Administrator certifications.
• Bachelor's in CS, IS, or equivalent professional experience.

Preferred

• Experience with Workato or comparable iPaaS platforms (recipes, connectors, error handling, API management).
• Experience with Snowflake, Fivetran, dbt, or modern cloud data warehouse ecosystems.
• HubSpot integration experience, especially with Salesforce and downstream GTM systems.
• Platform Developer II, Platform App Builder, or comparable certifications.
• Familiarity with revenue intelligence, intent data, customer success, or sales engagement platforms.
• Experience with headless, API-first, or composable CRM modernization and a passion for AI-enabled workflow automation — agentic patterns, prompt-driven automations, AI-assisted decision flows.
• Track record of mentoring developers and guiding technical initiatives at high-growth SaaS companies.