GTM Systems Engineer

Description

The company builds tools that make computer vision models simpler to create and use. Over 1M+ developers, including developers at half the Fortune 100, use its open source and hosted machine learning tools for projects such as counting cells in cancer research, improving construction site safety, digitizing floor plans, protecting coral reefs, and guiding drones.

The team is small compared to its reach. Software is treated as a multiplier for every function, so developers work in design, sales, customer support, marketing and other areas as well as product and engineering.

The company has raised over 63 million from investors including Google Ventures, Y Combinator, Craft Ventures, Sam Altman and Lachy Groom, among other software investors.

Interview process: you will have several conversations with the hiring manager and a member of the leadership team, and you will complete a role-relevant project or challenge. Expect a 30 minute recruiter or hiring manager call covering mindset and skills, a 60 minute technical assessment, two 30 minute conversations with other team members, and a 30 minute leadership discussion about culture. Before the interview, the team reviews your application, LinkedIn and GitHub. Writing about something you built with the company or contributing to one of its open source projects helps you stand out. References are required and the team will arrange timing. You can ask to meet anyone on the team and the team will try to arrange it.

Responsibilities

• Build and scale the systems the revenue team depends on, reporting to the Revenue Operations lead and working closely with sales leadership, finance, marketing and data engineering.
• Revenue Operations defines how pipeline is measured, how the forecast is built, how territories and account handoffs run, and how far the numbers can be trusted. Your work is hands-on: you will implement, customize and scale Salesforce and the wider GTM stack, including Outreach and enrichment platforms, and build custom tools and AI-powered workflows where off-the-shelf options fall short.
• You will start by building under the Revenue Operations team and later take ownership of the Salesforce architecture as the function grows. The systems you ship will affect how fast new reps ramp, how accurate the forecast is, and how smoothly accounts move from first purchase to company-wide expansion. You will work with sales, operations and engineering to turn requirements into finished solutions.
• Build and extend Salesforce features, including Apex, Lightning Web Components, Flows and custom objects, turning Revenue Operations designs into tested, source-controlled systems.
• Implement the data models for how the company sells: account hierarchies and site-level data, product catalog and packaging, territory and coverage assignment, and account handoffs between teams.
• Build the inputs and enforcement for forecasting: stage exit criteria and gates, forecast categories, pipeline snapshots, and field history for tracking forecast accuracy over time.
• Work with data engineering on programmatic BI using SQL, BigQuery and code-defined dashboards on Salesforce data, plus native Salesforce reports, templates, and folder and permission structures for self-service use.
• Own data quality across Salesforce and connected GTM systems, covering deduplication, field standardization, ownership cleanup, and cleanup views that tell each rep what to fix and why.
• Lead integration and data pipeline work across the GTM stack, including migrations as tools are retired or replaced.
• Build the infrastructure for partner and cloud marketplace revenue, including deal registration, sourced versus influenced attribution, and reporting the whole team can rely on.
• Support the variable compensation program with data quality work and management support.
• Act as the control point for AI agents in the GTM stack, managing permissions, access and rollout, and design and deploy AI and LLM-powered GTM workflows yourself.
• Share end user support with the team, including lead routing and assignment troubleshooting, round-robin logic, SLA misses, and bulk list uploads for marketing campaigns and sales prospecting.

Requirements

• You are a systems builder with strong go-to-market instincts, a high level of agency and a bias toward action, and you want to be part of a strong team using computer vision to improve every industry.
• Required: 5+ years building on Salesforce as a technical admin or developer.
• Required: 5+ years supporting sales, RevOps or GTM teams.
• Required: working knowledge of Salesforce, Apex, Lightning Web Components and Salesforce integrations.
• Required: experience testing and deploying solutions, ideally with source tracking and the Salesforce Metadata API.
• Required: experience implementing automation, custom objects and non-trivial business logic.
• Required: working SQL and experience with a data warehouse such as BigQuery or Snowflake.
• Required: practical understanding of GTM concepts including product catalogs, pipeline, forecasting, territories, renewals, expansion, and compensation planning and administration.
• Required: experience working across GTM tools such as communication platforms, enrichment platforms, quoting tools, CLMs and e-signature platforms.
• Required: hands-on experience building or integrating LLM-based workflows and building with AI coding agents.
• Preferred: Salesforce Platform Developer Level 1 certification or higher.
• Preferred: hands-on experience with source control, especially for Salesforce deployments.
• Preferred: experience with land-and-expand enterprise sales, product-led growth, or developer-first companies.
• Preferred: experience with partner, channel or cloud marketplace operations.
• Preferred: experience with stakeholder management.
• Preferred: experience with, or willingness to learn, using AI to improve output and results.
• Preferred: experience managing or supporting variable compensation programs.

Conditions

The company is fully distributed, with hubs in New York City, San Francisco and Brazil, and plans to open more hubs as it grows in new cities.

You can work from a hub, from home, from a co-working space, or elsewhere. The company supports in-person time with the team through onsites in different cities and travel support, and also supports remote team members.

A relocation bonus is offered for those who move to a hub.

Salary is set using market and data-driven sources and is reviewed every six months.

The company wants a diverse, global team and considers every application carefully.

Benefits

• $4000/yr travel stipend to work alongside other team members anywhere, at any time
• Up to 100% coverage of health insurance costs for you and your partner or family
• $350/mo productivity stipend for things like high-speed home internet or a co-working space
• $350/mo AI stipend
• $500 one-time home office stipend
• $150/mo team lunch stipend
• Unlimited PTO with a 2 week annual minimum
• 12 weeks of parental leave
• Equity in the company