Pecan AI

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.

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 What You'll Do Define and drive the product vision and strategy for the various features of the Pecan platform (www.pecan.ai) Own the roadmap, balancing customer needs, technical capabilities, and long-term growth Partner closely with engineering and design on discovery, experimentation, and delivery Champion customer needs and platform-first, user-focused development Who You Are 5+ years of Product Management experience, preferably in B2B SaaS Experience building LLM based products or features Experience working on data/analytics platforms or capabilities Background with data science or machine learning – an advantage Strong communication, leadership, and execution skills

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 The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients' business success. Responsibilities Lead and support customer-facing Demand Forecasting use cases from discovery through deployment Work hands-on with customer data to design, test, and validate forecasting solutions Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way Troubleshoot technical and data-related challenges and drive them to resolution Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases Help customers achieve measurable business impact and adoption of Pecan's Demand Forecasting module What We Are Looking For 2–5 years of real-world experience in technical, data, solutions, analytics, or implementation roles Proficient in Python, SQL, and Spark Solid experience working with structured data and Python Strong technical debugging and problem-solving mindset Customer-facing experience with the ability to lead technical conversations Excellent communication skills and ability to explain technical concepts clearly Highly organized and able to manage multiple implementations in parallel Experience in B2B / SaaS environments — a strong advantage Experience working with Customers (in English) – a must

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

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: Work on pecans' core data and machine learning infrastructure, which is at the heart of Pecan's offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated. Who You Are: A problem solver at heart, you have a passion for excellence, you love to learn but know when it's time to deliver and make ends meet. You aren't threatened by a complex, dynamic and demanding environment. "There is no I in team", is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion. What We're Looking For: 5+ years experience as a Machine Learning Engineer. 10+ years of experience with Python/Java/Scala. Strong understanding of distributed systems, object-oriented programming and design patteri Distributed Compute frameworks such as Spark, Dask, Ray etc. Hands-on experience designing, training, and deploying machine-learning models. MLOps. Hands-on experience with open source ML libraries like: catboost, lightgbm, xgboost, scikit-learn, NumPy, Pandas, Microservices architecture, cloud technologies, Docker/K8s. Ability to design and own a feature through all its phases. Bonus: BSc./MSc. In CS or similar – an advantage. Building data pipelines using Apache Airflow. Hands on experience with Spark, SparkSQL, Spark streaming and other Spark related projects.

Pecan is an automated, AI-based predictive analytics platform that simplifies and accelerates the process of building and deploying machine learning models across various business use cases. Learn more about our dedicated offering here: demandforecast.ai. Pecan connects to the raw data and completely automates the data preparation, engineering, and preprocessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel's 50 most promising startups for two consecutive years. 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 a growing sales and marketing organization in the US Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Mars, and SciPlay. Demand Forecasting Team The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients' business success. Responsibilities As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will: Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models. Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling. Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business. Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not. Be instrumental in helping our clients achieve their business goals and realize the measurable value of Pecan's Demand Forecasting module. Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the client's operational workflow. What We Are Looking For 5+ years of experience as a data scientist working on tabular and time-series data BSc in a relevant field (e.g., Computer Science, Engineering, Statistics) Proficient in Python, SQL, and Spark Proven experience in creating measurable value with ML (defining KPIs, designing A/B tests, monitoring models in production) Deep experience with time series modeling and forecasting techniques Experience with AWS / Databricks – an advantage MSc/Research experience – an advantage Experience working with Customers (in English) – an advantage