Business Engineer

Summary

Join Truv, a leading financial data company, as a data-driven GTM Automation Engineer. You will design, build, and maintain automation workflows to optimize the go-to-market operation. Leveraging your data engineering skills and AI prompting expertise, you will create intelligent systems streamlining sales, marketing, and customer success. Collaborate with cross-functional teams to identify inefficiencies and build data-driven solutions. This role requires a strong understanding of GTM systems and automation platforms. You will be responsible for automating lead and customer flows, integrating data, and optimizing workflows. The ideal candidate is passionate about using AI and automation to improve business results.

Requirements

• 3+ years in data engineering with focus on working with GTM teams
• Experience automating GTM or customer-facing processes (sales, marketing, onboarding, retention, support)
• Strong grasp of CRM platforms and customer lifecycle flows (HubSpot experience is a plus)
• Comfort working with enrichment tools. Experience with Clay is a plus
• Comfort working with AI tools, LLMs, or prompt-based automations (e.g., ChatGPT, Claude, etc.)
• Hands-on experience with no-code / low-code tools such as Pipedream
• Solid understanding of how GTM systems connect and operate together — from lead gen to renewal
• Knowledge of scripting in Python for API calls, data processing, custom integrations, and ability to write HTTPS requests from scratch
• Analytical mindset with a bias for action — you care about real-world impact and business results
• Strong ownership and system design skills

Responsibilities

• Automate lead and customer flows: Build end-to-end systems that handle lead capture, qualification, routing, onboarding, and re-engagement
• Data integration & enrichment: Design pipelines that pull data from internal and external sources, validate and enrich it, and feed it into GTM tools
• AI-powered automation: Use LLMs and prompt-based systems to personalize outreach, score leads, detect churn signals, and generate content
• Cross-system orchestration: Integrate tools like CRMs, email platforms, support software, and internal databases using APIs and webhooks
• GTM workflow optimization: Collaborate with go-to-market teams to identify inefficiencies and automate manual steps in their day-to-day operations
• Analytics & monitoring: Build dashboards, reports, and alerting systems to track funnel health, workflow performance, and automation ROI

Preferred Qualifications

• Experience with modern data stack (e.g., dbt, Airflow, Fivetran, Segment)
• Background in SaaS, B2B, or high-growth startup environments
• Knowledge of metrics like NPS, CSAT, CAC, LTV, churn prediction, or expansion triggers
• Familiarity with HubSpot workflows, reports, or API-level integrations

Benefits

• Fully remote
• Competitive salary and equity package
• Flexible time off
• Work with cutting-edge technology and innovative customers
• Opportunity to shape the future of financial data access