🛠 Tech Stack

💼 About This Role

You'll sit at the intersection of pre-sales and customer success, owning the full customer lifecycle from value selling through value realization. You'll drive measurable ROI for customers by translating product capabilities into quantifiable business outcomes using Python, SQL, and AI tools. This role blends strategic enterprise deal support with hands-on data analysis.

🎯 What You'll Do

• Partner with AEs on enterprise deals: discovery, business cases, ROI narratives
• Drive post-sales value realization through joint value sessions and enablement
• Use Python and SQL for statistical modeling on conversation and platform data
• Track KPIs, build dashboards in Looker/Tableau, and produce QBR decks
• Build repeatable templates and automate recurring analysis with AI agents

📋 Requirements

• 1-3 years experience in analytics or data science, ideally in B2B SaaS
• Python (Pandas, scikit-learn) and SQL fluency with AI coding tools
• Experience with statistical modeling (regression, classification, clustering)
• Proficiency in Looker or Tableau for dashboards and visualizations

✨ Nice to Have

• Exposure to customer success KPIs or contact center operations
• Familiarity with Conversational AI platforms

🎁 Benefits & Perks

• 💰 Competitive compensation including equity
• 🏥 Excellent medical, dental, and vision insurance
• 🏖️ Flexible PTO plus 10 holidays and annual winter break
• 🏦 401(k) plan with tax-advantaged savings
• 📱 Monthly mobile + internet stipend and quarterly lifestyle spending account

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min
4. 4Offer· 30 min

🚩 Heads Up

• Hybrid role mixing pre-sales and post-sales with 70/30 split may blur accountabilities
• Junior level (1-3 years) but expects AI-native operator and ability to build playbooks