Remote GTM Systems Engineer – AI-Driven Revenue Ops

Digitailor; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Travel stipend

Health insurance

Productivity stipend

AI stipend

Home office stipend

Team lunch stipend

Unlimited PTO

Parental leave

Equity

Job summary

Roboflow is hiring a GTM Systems Engineer to build and scale Salesforce-driven Revenue Operations systems. You’ll implement and extend Salesforce functionality, data models, forecasting inputs, and BI integrations, partnering with data engineering and sales leadership.

You will own data quality across GTM tools, lead migrations, and enable AI-powered workflows and GTM automation while supporting the sales organization from onboarding to enterprise expansion. This is a fully distributed role.

Qualifications

• 5+ years of experience building on Salesforce in a technical admin or developer capacity.
• 5+ years supporting Sales, RevOps, or GTM teams.
• Working knowledge of Salesforce, Apex, Lightning Web Components, and Salesforce Integrations.
• Experience testing and deploying solutions, ideally with source tracking and the Salesforce Metadata API.
• Experience implementing automation, custom objects, and non-trivial business logic.
• Working SQL and experience with a data warehouse (BigQuery, Snowflake, or similar).
• Practical understanding of GTM concepts: product catalogs, pipeline, forecasting, territories, renewals, expansion, compensation planning and administration.
• Experience working across an ecosystem of GTM tools including communication platforms, enrichment platforms, quoting tools, CLMs, e-signature platforms, etc.
• Hands-on experience building or integrating LLM-based workflows, and building with AI coding agents.

Responsibilities

• Build and extend Salesforce functionality (Apex, LWC, Flows, custom objects), turning Revenue Operations designs into working, tested, source-controlled systems.
• Implement the data models behind how we sell: account hierarchies and site-level data, product catalog and packaging, territory and coverage assignment, and account handoffs between sales teams.
• Build the inputs and enforcement behind our forecasting models: stage exit criteria and stage gates, forecast categories, pipeline snapshots, and the field history needed to track forecast accuracy over time.
• Partner with data engineering on programmatic BI: SQL and BigQuery, code-defined dashboards on Salesforce data, and native Salesforce reports, templates, and folder/permission structures as the self-service layer for end users.
• Own data quality across Salesforce and connected GTM systems, including deduplication, field standardization, ownership cleanup, and the cleanup views that show each rep what to fix and why it matters.
• Lead integration and data pipeline work across the GTM stack, including migrations as we retire and replace tools.
• Build the infrastructure for partner and cloud marketplace revenue: deal registration, sourced vs. influenced attribution, and reporting the whole team trusts.
• Facilitate the variable compensation program by providing data quality and management support.
• Serve as the control point for AI agents in our GTM stack (permissions, access, and rollout), and design and deploy AI‑ and LLM‑powered GTM workflows yourself.

Skills

Salesforce

RevOps

Salesforce knowledge

Testing & deployment

Automation

SQL & data warehouse

GTM concepts

GTM tools

LLM workflows

Salesforce certification

Source control

Enterprise sales

Partner ecosystem

Stakeholder mgmt

AI in GTM

Compensation programs

Job description

Roboflow is hiring a GTM Systems Engineer to build and scale Salesforce-driven Revenue Operations systems. You’ll implement and extend Salesforce functionality, data models, forecasting inputs, and BI integrations, partnering with data engineering and sales leadership.

You will own data quality across GTM tools, lead migrations, and enable AI-powered workflows and GTM automation while supporting the sales organization from onboarding to enterprise expansion. This is a fully distributed role.