GTM Systems Engineer: Salesforce & AI Workflows

Roboflow, Inc.; New York, San Francisco (NY, CA); Hybrid; USD 140,000 - 190,000; 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 the Revenue Operations stack, reporting into the Revenue Operations lead and working hand-in-hand with sales leadership, finance, marketing, and data engineering.

You’ll implement, customize, and scale Salesforce and the broader GTM tech stack (Outreach, enrichment platforms, and more), while also building custom tooling and AI-powered workflows where off-the-shelf solutions fall short.

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.
• Share end user support with the rest of the team, including lead routing and assignment troubleshooting, round-robin logic, SLA misses, and bulk list uploads for marketing campaigns and sales prospecting.

Skills

GTM instincts

Systems thinking

Data-driven decisions

Team collaboration

AI/LLM interest

Tools

Salesforce

Apex

Lightning Web Components

Salesforce Integrations

SQL

BigQuery

Snowflake

Job description

Roboflow is hiring a GTM Systems Engineer to build and scale the Revenue Operations stack, reporting into the Revenue Operations lead and working hand-in-hand with sales leadership, finance, marketing, and data engineering.

You’ll implement, customize, and scale Salesforce and the broader GTM tech stack (Outreach, enrichment platforms, and more), while also building custom tooling and AI-powered workflows where off-the-shelf solutions fall short.