Summary
Thrive is a company focused on sales operations and AI-driven process design. The Sales Ops / AI Analyst will own sales analytics and reporting, build AI agent workflows to automate manual tasks, and improve team performance.
Responsibilities
- Own sales operations, reporting pipeline, forecast, conversion rates, win rates, quota attainment, and rep productivity metrics
- Build dashboards and reports that leaders use to make decisions
- Analyze territory capacity and coverage to identify white space, overloaded reps, and underutilized segments
- Support account segmentation and territory design using data (firmographics, account potential, historical performance)
- Identify process breakdowns and inefficiencies across the sales cycle using data, not guesswork
- Partner with sales leadership to translate business problems into automated solutions
- Maintain and improve CRM data quality and workflow logic
- Document workflows and processes so they are repeatable and maintainable
- Build AI agents and automations that improve Sales Ops execution: data capture, call and meeting summaries, follow-up drafting, account research, deal risk flags, and forecast narrative support
- Create multi-step agent workflows that connect CRM, email, calling tools, and data sources
- Own an AI automation backlog and ship improvements weekly based on measurable impact
- Define guardrails: where humans must approve, what gets logged to CRM, and how we prevent bad data from spreading
- Monitor performance (accuracy, adoption, time saved, pipeline impact) and continuously iterate
- Automate dashboards and reporting for pipeline health, funnel conversion and rep activity, attainment
- Diagnose bottlenecks and quantify impact, then deploy AI or process changes to fix them
- Track ROI of automations: hours saved, speed-to-lead, conversion lift, data completeness, forecast variance
- Deliver clear insights to CRO and sales leaders with recommended actions
Skills
- 3+ years in sales operations, revenue operations, or business analytics
- Strong SQL and Excel/spreadsheet skills. Experience with BI tools (Tableau, Looker, Power BI) required
- Hands-on experience building AI agent workflows or automations (tools like n8n, Zapier, Make, Hatz, or similar; prompt engineering experience a plus)
- Salesforce experience including reporting and workflow/automation setup
- Experience with territory planning, account segmentation, or capacity modeling
- Proven ability to turn messy data into clear, actionable insight
- Strong project management skills. You can scope a problem, build a solution, and ship it without heavy oversight
- Comfortable driving change with sales leadership and reps
- Python and API integration experience
- Experience designing human-in-the-loop workflows and evaluation methods for LLM outputs
Qualifications
Must Haves
- 3+ years in sales operations, revenue operations, or business analytics
- Strong SQL and Excel/spreadsheet skills. Experience with BI tools (Tableau, Looker, Power BI) required
- Hands-on experience building AI agent workflows or automations (tools like n8n, Zapier, Make, Hatz, or similar; prompt engineering experience a plus)
- Salesforce experience including reporting and workflow/automation setup
- Experience with territory planning, account segmentation, or capacity modeling
- Proven ability to turn messy data into clear, actionable insight
- Strong project management skills. You can scope a problem, build a solution, and ship it without heavy oversight
- Comfortable driving change with sales leadership and reps
Nice to Haves
- Python and API integration experience
- Experience designing human-in-the-loop workflows and evaluation methods for LLM outputs