Business Systems Analyst, Sales AI & Automation
Checkr · Denver, Colorado, United States; San Francisco, California, United States
About this role
**About Checkr** Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, DoorDash, and Anthropic. We’re recognized on the Forbes Cloud 100 2025 List and as a Y Combinator 2024 Breakthrough Company. --- **About the team/role** As a member of the Revenue Operations team, you’ll combine hands-on technical build skills with deep GTM domain knowledge to design automations and agentic workflows that help our Sales teams move faster and convert more efficiently. You’ll be the bridge between business context and automated solutions—bringing process knowledge and friction points, then building production-ready capabilities. --- **Responsibilities** - **Ship Solutions for the Field:** Deliver agentic support for the sales organization—manage agents to generate pipeline, perform deep account research, and help close more deals. - **Run AI-Based Experimentation:** Lead structured experiments across GTM tooling and emerging AI vendors; translate results into actionable recommendations to improve prospecting, routing, and conversion. - **Architect for Scale, Not Just Speed:** Partner with CorpEng on technically complex builds, ensuring solutions hold up at scale. - **Advise the Citizen Builders:** Act as a trusted advisor across the GTM org to mature teammates’ agents and automations into governed, production-ready capabilities. - **Guard Cost, Performance, and Trust:** Add guardrails around cost, performance, and data handling to prevent runaway overhead and compliance risk. - **Translate Between Technical and Business Teams:** Communicate complex ideas in plain language and turn ambiguous requirements into actionable technical deliverables. --- **What you bring** **Technical Skills** - 3+ years building and deploying automations or AI-powered workflows in production, with hands-on experience across Salesforce and the broader revenue tool stack. - Proficiency with GTM systems including CRM (Salesforce & HubSpot), sales engagement (Clay), marketing automation, data enrichment, and routing tools (Lean Data). - Working knowledge of LLMs, prompt engineering, and agent design applied to real revenue workflows. - Comfort with SQL and at least one scripting language (Python or JavaScript) to build, troubleshoot, and iterate without waiting on engineering. - Familiarity with data warehouses, BI tools, or event-driven systems is a plus. **Business and Domain Acumen** - Familiarity with Marketing and Sales processes and metrics, and how campaign data, intent signals, and lead flow connect to pipeline outcomes. - Commercial bias: evaluate workflows by the revenue outcome they’re designed to drive. - Curiosity and an experimental mindset—test hypotheses and iterate based on data. - Proven ability to bridge communication between business stakeholders and technical teams. - A strong bias for action: raise the bar, move with urgency, stay resilient through ambiguity, and take ownership. **Preferred Experience** - Background in business systems analysis, Salesforce administration, marketing/revenue operations, or a technical role embedded within sales/marketing. - Experience building agentic or LLM-powered workflows in a B2B environment. - Hands-on experience with modern GTM automation/enrichment platforms (e.g.,
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