AI consultant

Tel Aviv-Yafo, Israel

About the role

AI consultant | Pecan AI Product How it works Product Tour Integrations Security Solutions Customer Churn Customer LTV Demand Forecasting Upsell & Cross-Sell Customer Winback Fraud & Chargeback Prevention Predictive Campaign ROAS Lead Scoring with Predictive Analytics Our Customers Case Studies Customers Videos Pricing Resources Blog Resource Center Podcasts Guides The Data Leader’s Guide to AI How to Build Your AI Strategy in 2026 AI for Subscription eCommerce 101 From Raw Data to AI Company

About Us Partners Careers Contact Us Newsroom DemandForecast.ai DemandForecast.ai Book a demo Pricing Book a demo Home → Careers → AI consultant ML AI consultant 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 Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay..

Responsibilities: As an AI Consultant and a CS team member, you will work at the technological forefront of the data analytics world by helping Pecan’s customers adopt and realize business value through AI and Machine Learning. As a CSM you will be the customer’s key strategic advisor and implementer and you will work with senior stakeholders to: Identify AI opportunities Frame and size the value and the business impact AI can help customers realize Drive the implementation of Pecan’s software and services by collaborating and managing a cross-functional account team Ongoing account management and commercial success including value realization analysis, Quarterly Business Reviews (QBRs), Pilot process management, etc., Gradually develop business-ML expertise and lend this SME towards Pecan’s customers and our internal product development Together with

the team, you will continuously help our customers achieve their business goals, reinforce the value of Pecan’s models, and the ease of using our platform. When our clients are happy because they see the value, so are we! The ideal candidate will be value-oriented, enjoys working with customers, analytical and consistently looking to improve their skills. What We’re Looking For: 2-4 years experience in a customer-facing analytically oriented role (e.g., SaaS Customer Success, Management Consulting, etc.) Experience managing large strategic accounts B.A./B.S. Degree in an analytical/ economics/ business management discipline Strong project management or organizational skills and an ability to multitask without difficulty Flexibility, including the ability to adapt quickly to changing priorities; capable of operating in an ambiguous environment Native-level English- MUST Advantages: SQL/engineering background Experience in the BI, Data Science, ML or Predictive Analytics industry Analytics and Data Science project management experience Apply for this job Resume * Pecan , Thank you for your application! Ask a question. Get a prediction. Act with confidence. Book a demo Use Cases Customer Churn Customer LTV Campaign ROAS Demand Forecast Upsell and Cross-Sell Lead Scoring Customer Winback Fraud & Chargeback Prevention Compare Pecan vs. Amazon SageMaker and Databricks Pecan vs. Google Vertex AI Platform How it works Integrations Security Help Center With a deep understanding of security concerns and regulations, Pecan is committed to keeping your information secure, private, and encrypted at all times. We employ active and passive security measures, ranging from rigid internal compartmentalization to advanced endpoint and network-protection mechanisms. Learn more © 2026 Pecan. All rights reserved. Privacy Terms and Conditions Get a Tailored Demo See how Pecan predicts what matters most to your business. Fast setup, real answers. Trusted by teams across industries

About Pecan AI

Pecan helps business intelligence, operations, and revenue teams predict mission-critical outcomes. As the world’s only low-code predictive analytics and data science platform, Pecan enables companies to harness the full power of AI and predictive modeling without requiring any data scientists or data engineers on staff.

By simplifying data preparation, automating feature engineering, and creating models refined for high performance in specific use cases, Pecan transforms SQL-trained BI analysts into effective data scientists who can leverage massive amounts of raw data to build accurate predictions in days.

With Pecan, companies turn hindsight into foresight by generating highly accurate predictions and recommendations that improve customer lifetime value, retention, conversion rates, demand forecasting, and other revenue-driving KPIs. Pecan’s predictions impact billions of dollars in revenue for FinTech, insurance, retail, consumer packaged goods, mobile apps, and consumer services companies of all sizes.

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Job details

Location

Tel Aviv-Yafo, Israel

Company

NamePecan AI
IndustryAI
Team Size3

Funding

Total raised

$117M

Last stage

Series C

Investors

Insight Partners
GV
GGV Capital
SS Capital
DDell Technologies Capital

Founders

NB

Noam Brezis

Co-Founder

Zohar Bronfman

Zohar Bronfman

CEO & Co-Founder

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.