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TradeEngage · 14 hours ago

RevOps & Automation Engineer

United States

Full-time

Remote

Mid, Senior Level

TradeEngage is a pioneering B2B referral platform for home services, transforming how companies acquire jobs. The RevOps & Automation Engineer will build and scale operational infrastructure to enhance revenue operations, streamline customer onboarding, and implement automation tools to drive growth.

Computer Software

Responsibilities

Design and streamline end-to-end revenue operations across the customer lifecycle

Build automated workflows that reduce manual work and accelerate time-to-value

Own the onboarding experience—making it seamless for home services businesses to get live and refer their first job

Architect and maintain our GTM tech stack (CRM, automation platforms, data pipelines)

Implement cutting-edge automation tools to scale operations without adding headcount

Build integrations and internal tools that make our team more efficient

Create dashboards and reporting infrastructure to track key revenue metrics

Analyze funnel performance, identify bottlenecks, and recommend data-driven improvements

Build predictive models to forecast growth and optimize resource allocation

Partner with leadership to refine go-to-market strategy based on marketplace dynamics

Experiment with PLG motions to drive self-serve adoption and expansion

Identify opportunities to improve conversion, retention, and revenue per customer

Qualification

Automation expertiseMarketplace experienceProduct-led growthData analysis skillsEngineering foundationB2B SaaS experienceAI-powered automationGrowth operationsSales operationsCustomer success operations

Required

Automation expertise: You're current with the latest automation tools (Zapier, Make, n8n, AI agents, etc.) and know how to deploy them effectively

Marketplace experience: You've worked at a two-sided marketplace and understand the unique operational challenges (liquidity, network effects, incentive design)

Product-led growth background: You've been part of a PLG motion and know how to instrument self-serve funnels, activation flows, and expansion plays

Engineering foundation: You have a technical background—whether that's software engineering, data engineering, or technical operations. You can read code, write scripts, and build tools when needed

Data analysis skills: You're comfortable in SQL, Python, or similar tools. You can pull data, build models, and extract insights without waiting on analysts

Ownership mindset: You've built or scaled RevOps from early stages. You don't wait for perfect—you ship, learn, and iterate