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Roboflow

GTM Systems Engineer

NY, SF or Remote (US) Remote · United States
FullTime · GTM
POSTED 31 OCTVERIFIED 8H AGO
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Role
9 days opentrue age
Posted 31 Oct
Pay
$161k–$239kno pay posted
Market p25–p75
$161k–$239k
SF Bay Area · n=1752 · 365d to 6 Nov
CompanyRoboflow →
38open roles
Opened · 30d
+0
Closed · 30d
−0
3d of snapshots · 30d window
Market
37,617open · Software engineering
Opened · 7d
+2,1146% of open
All software engineering
75,141open
All tracked boards · live 10 Nov · n=37,617
Visa
1H-1B LCAs · FY26
LCAs FY26 · n=1 · to 2025-12-16
SQLLLMs

Who We Are

Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we use, too.

We’re building the tools, community, and resources needed to make the world programmable with artificial intelligence. Roboflow simplifies building and using computer vision models. Today, over 1M+ developers, including those from half the Fortune 100, use Roboflow’s machine learning open source and hosted tools. That includes counting cells to accelerate cancer research, improving construction site safety, digitizing floor plans, preserving coral reef populations, guiding drone flight, and much more.

Our team is small relative to our impact, and we believe our user success is our success (not the inverse). A team member summarized: “Roboflow is a company full of giant brains and tiny egos.” We find software has a multiplier effect on all roles (not only product and engineering), so Roboflow employs developers across the company in design, sales, customer support, marketing, and beyond.

We’re supported by great customers and investors, having raised over 63 million from Google Ventures, Y Combinator, Craft Ventures, Sam Altman, Lachy Groom, amongst other leading software investors.

What You'll Do

We’re hiring a GTM Systems Engineer to build and scale the systems our revenue team runs on, reporting into the Revenue Operations lead and working hand-in-hand with sales leadership, finance, marketing, and data engineering. Revenue Operations owns the operating system for go-to-market at Roboflow: how pipeline is measured, how the forecast is built, how territories and account handoffs work, and whether the numbers can be trusted. This role is hands-on and execution-focused: 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.

You’ll start by building under the direction of the Revenue Operations team and grow into ownership of our Salesforce architecture as the function scales. As our sales team grows, the systems you ship will shape how quickly new reps ramp, how accurately we forecast, and how cleanly accounts move from a first land to enterprise-wide expansion. You’ll partner closely with sales stakeholders, ops, and engineering to turn requirements into shipped solutions.

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

Source · RoboflowFirst seen 3 NovOriginal ↗