at Pecan Ai (View all jobs)
Pecan is an automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. Pecan connects to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel’s 50 most promising startups two years in a row
Company Highlights
- Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
- 50 employees
- HQ in Tel Aviv with growing sales organization in the US
- Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay
Typical Tasks
- Guide and assist customers in utilizing the Pecan platform and implementing AI models.
- -Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
- Address and resolve technical and data-related issues.
- Provide valuable feedback to the product team and collaborate to enhance the product.
- Analyze model outputs and explain complex ideas in a clear, understandable manner.
- Serve as the primary data and technical contact for clients, understanding and addressing their needs.
Who You Are & What You Bring:
- A strong passion for understanding customer needs and providing exceptional support, along with enthusiasm for training and empowering users to get the most out of our solutions.
- Proactive and adaptable mindset, with a passion and ability for building in a startup environment.
- Excellent communication and interpersonal skills.
- Ability to work in parallel with multiple customers and prioritize tasks.
- Proven experience in problem-solving and delivering business insights.
- Strong business analytical skills.
- Proficient in SQL.
- 2-4 years of industry experience in customer-facing and analytics roles, with a preference for those with B2B/SaaS tech enablement backgrounds.
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Use Cases
Customer Churn
Customer LTV
Campaign ROAS
Demand Forecast
Upsell and Cross-Sell
Lead Scoring
Customer Winback
Fraud & Chargeback Prevention
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