GTM Engineer - Ecosystem

3 months ago

H1B Sponsor

Base Salary

$140k - $180k/yr

Responsibilities

Serve as the embedded GTM Engineering partner for Solutions, Partnerships, and Education teams.
Build and own partner and ecosystem workflow automations for partner identification, co-selling, registration, account intelligence, and related processes.
Extend Clay into new use cases, provide product feedback, dogfood new features, and evangelize Clay infrastructure and GTM Engineering practices.
Partner with GTM leaders and frontline teams to understand current revenue motions and identify breakdowns.
Own projects end-to-end from discovery and prototyping through rollout, adoption, and iteration.
Automate, augment, or redesign workflows using AI, data, and systems design.
Design systems that improve funnel speed, visibility, data quality, and execution.
Connect systems through APIs, webhooks, integrations, and automation layers.
Measure performance, adoption, and business impact, then continuously improve the systems built.
Act as an internal thought partner on the future of AI-native GTM systems.

At least 6–10 years of experience in RevOps, GTM Engineering, or a similar applied technical discipline.
At least 3 years of experience in RevOps, Sales Operations, GTM Engineering, or an equivalent field.
Hands-on experience building, developing, or connecting Salesforce and adjacent go-to-market systems, including partner relationship management or similar systems.
Proven ability to build and troubleshoot using Python, JavaScript, SQL, or TypeScript.
Track record deploying AI-powered internal tools, automations, or agentic workflows.
Experience with data warehouses, BI tools, or event-driven systems.
Ability to communicate technical topics clearly with nontechnical stakeholders and business requirements to technical audiences.
Ability to operate effectively and drive change in ambiguous, fluid, hypergrowth environments.
Experience building in Clay as a primary workflow or enrichment layer is highly preferred but not required.
Experience in analytics engineering, data science, or programming languages is a bonus.

Employees can work for free with world-class coaches specializing in creativity, management, and more.