GTM Systems Engineer

Rogo•New York, NY

About The Position

This role is for a GTM Systems Engineer who will build and own the systems layer behind Rogo's revenue engine. The position requires deep Salesforce administration skills and the ability to innovate on how GTM technology is used. The engineer will own the entire Salesforce ecosystem, including surrounding tools like Gong, Clay, Apollo, Lusha, Nooks, Default, LinkedIn Sales Navigator, and DocuSign. Responsibilities include managing quote-to-cash, CPQ tooling, the contract and entitlement layer, and the customer lifecycle. A key aspect of the role is building with AI as a primary tool, developing health and scoring models, MEDDPICC scorers, account research agents, enrichment and routing agents, and MCP servers for safe LLM data interaction. The engineer will use tools like Claude Code to build, test, and deploy Apex and Lightning Web Components with engineering discipline. The role reports into RevOps leadership and collaborates with Sales, Sales Development, Customer Success, Deal Desk, Finance, and Engineering. It is a builder-operator position with significant autonomy to identify and solve high-leverage problems.

Requirements

5+ years owning GTM systems in a revenue, sales, or RevOps organization, with the majority hands-on administering Salesforce as a system of record.
Meaningful, recent experience owning other GTM tooling beyond Salesforce: Gong, Clay, Apollo, Lusha, Nooks, Default, LinkedIn Sales Navigator, DocuSign, or equivalents, including integration and access layers.
Demonstrated experience building out full GTM tech stacks and owning multiple parts, not just one system.
Hands-on experience with CPQ tooling, quote-to-cash, and customer lifecycle design, including quoting controls, contracts, entitlements, and renewals.
Recent, concrete experience leveraging AI and LLMs in GTM systems: health and scoring models, MEDDPICC scorers, account research agents, or comparable production work.
Working familiarity with Apex, SOQL, and Lightning Web Components, with enough fluency to read, reason about, and validate code.
Comfort with SQL and enough Python or scripting to build and debug pipelines, integrations, and backfills.
Ability to take a vague business problem, scope it into a technical spec, and execute it.
Strong written communication skills to explain system functionality, design choices, and trade-offs to both engineers and GTM leadership.

Nice To Haves

Experience building or extending MCP servers, agent frameworks, or LLM orchestration tooling.
Production experience with iPaaS or automation platforms such as Workato, n8n, Tray, or Zapier.
Experience with the modern data layer: Snowflake, dbt, Fivetran, Hightouch, or reverse ETL into GTM systems.
Salesforce certifications (Administrator, Advanced Administrator, Platform Developer I).
Experience in a compliance-sensitive environment such as SOC 2, SOX, or IPO readiness.
Experience at a company that scaled significantly during your tenure.

Responsibilities

Own Salesforce end to end: data model, schema, Flows, validation rules, permissions, record pages, DevOps hygiene, and platform reliability across the full revenue lifecycle.
Build and maintain Salesforce customizations in Apex, SOQL, Flow, and Lightning Web Components, with tests, deployment discipline, and documentation.
Own administration and integration of the surrounding stack: Gong, Clay, Apollo, Lusha, Nooks, Default, LinkedIn Sales Navigator, DocuSign, and new tools.
Architect integrations between Salesforce and the rest of the stack, and own the API, OAuth, and access patterns.
Own the full user access lifecycle across GTM systems: provisioning, role and permission changes, and deprovisioning.
Evaluate, pilot, and consolidate tooling, making decisions about what tools to adopt and retire.
Own CPQ and quoting controls, including ramp and multi-year structures, approval paths, and guardrails.
Own the contract and entitlement layer: order form and contract extraction, activated contract records, seat and license rollups, billing structure, and exception reporting.
Own renewal, expansion, and churn mechanics in the system: how renewal opportunities are generated, deduplicated, forecast, and reconciled against contract cycles.
Design the customer lifecycle in-system so that pipeline, deployment, health, and renewal all read from the same source of truth.
Design, build, and ship AI capabilities into the GTM motion: account health and scoring models, MEDDPICC scorers and deal inspection, account research agents, enrichment, routing, and call-signal extraction.
Build and extend MCP servers and agent tooling so LLMs can read and write GTM data safely.
Stand up evals, monitoring, confidence scoring, and guardrails for AI capabilities.
Exercise judgment about where AI genuinely helps versus where it creates risk, and where a human stays in the loop.
Track the AI and automation landscape and bring the best of it into Rogo's GTM operations.
Treat data quality as a production control: dedupe, segmentation, domain normalization, and explicit override fields.
Design for reporting at capture: include owners, reason codes, confidence tiers, evidence fields, and dedupe keys in the schema.
Run population-scale backfills properly: audit file plus load file, segmented into ready, review, and skip, validated before production.
Serve as the primary escalation point for GTM system issues, fixing root causes in the system.

Benefits

AI that delivers unparalleled speed, accuracy, and insight
Opportunity to join a generational company driving transformation in global finance
Work with a rapidly growing, global client base
Backing from world-class investors
Sharp, motivated team deeply committed to Rogo’s mission
Ownership of complex problems
Relentless focus on users
Fast-paced environment
Demand for excellence
Help build the future of finance
Wide latitude in a builder-operator role
Opportunity to pick the highest-leverage problem, ship it, and own how it runs
Work at the edge of what the best models can do
Opportunity to turn AI capabilities into products people trust