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Predictive Analytics Solution Engineer

Ramat Gan, Tel Aviv District, Israel

Actively hiring, first seen by us 3 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Guide and assist customers in using the Pecan platform and implementing AI models

  • Address and resolve technical and data-related issues for clients

  • Analyze model outputs and explain them in clear terms

  • Serve as the primary data and technical contact for clients

  • Give product feedback to help improve the platform

From the employer’s posting
Guide and assist customers in utilizing the Pecan platform and implementing AI models.
Address and resolve technical and data-related issues.
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.
Provide valuable feedback to the product team and collaborate to enhance the product.

What you’ll bring

All qualifications

Core experience

  • 2-4 years of industry experience in customer-facing and analytics roles
  • Proficient in SQL
  • Excellent communication and interpersonal skills
  • Strong business analytical skills
  • Proven experience in problem-solving and delivering business insights

Preferred experience

  • Experience with B2B/SaaS tech enablement backgrounds
Qualification wording
2-4 years of industry experience in customer-facing and analytics roles
Proficient in SQL.
Excellent communication and interpersonal skills.
Strong business analytical skills.
Proven experience in problem-solving and delivering business insights.
with a preference for those with B2B/SaaS tech enablement backgrounds
Apply at Pecan AI

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 10, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

Pecan AI is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • Databricks
  • SageMaker
  • Snowflake
Where the posting names them
- 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.
Compare Pecan vs. Amazon SageMaker and Databricks Pecan vs Google Vertex AI and Snowflake Pecan vs Akkio vs Peak AI Pecan vs Alteryx vs Qlik Predict Pecan vs DataRobot vs Dataiku Product

Your next step

Complete your application on www.pecan.ai. The employer’s form will show what is required.

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Analytics
Predictive Analytics Solution Engineer

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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