Jobs at Fetcherr

Manage strategic enterprise accounts as primary client contact, ensuring satisfaction, commercial performance, renewals, product adoption, and alignment with client objectives. Coordinate cross-functional teams, analyze client metrics, identify upsell/cross-sell opportunities, influence product development with client feedback, and travel for meetings and QBRs.

Design and implement the Price Optimizer's decision logic: translate pricing rules into mathematical models and production-ready Python code, develop and tune simulation and optimization algorithms, write tested maintainable code, analyze model behavior and edge cases, and collaborate with solution architects and data and engineering teams to integrate models into Dagster pipelines.

Design and implement the decision-making logic of a Price Optimizer: translate pricing rules into mathematical models and production-ready Python code, refine simulation and optimization algorithms, write tested maintainable code, validate model behavior with data, and collaborate with Solution Architects and Data Engineers to integrate models into Dagster pipelines.

Design and implement decision-making logic for a price optimizer: translate pricing rules into mathematical models and production-ready Python code, refine simulation and optimization algorithms, validate model behavior using data, and collaborate with architects and data engineers for pipeline integration.

The AI Data Engineer will design and build AI data pipelines, ensuring reliability and quality for predictive intelligence in the Large Market Model.

Design and implement pricing decision logic and optimization models in production-quality Python. Translate business rules into mathematical constraints, validate model behavior with data, collaborate with Solution Architects and Data Engineers to integrate models into Dagster pipelines.

As an AI Data Engineer, you will design and implement data pipelines for the Large Market Model (LMM), focusing on feature engineering, system reliability, and driving innovation through advanced AI technologies.

The AI Data Engineer will develop and maintain AI data pipelines, ensure system reliability, and innovate within AI technologies.

The AI Data Engineer will develop and maintain data pipelines for the Large Market Model, focusing on feature engineering, system reliability, and innovation in AI solutions.

The AI Data Engineer will architect and engineer data pipelines for the Large Market Model (LMM), ensuring system reliability and exploring innovative features in AI-driven solutions.

Design and implement the Price Optimizer decision logic: translate pricing rules into mathematical models and production-ready Python code, refine simulation and optimization algorithms, write tested maintainable code, validate model behavior, and collaborate with Solution Architects and Data Engineers to integrate into Dagster pipelines.

Design and implement econometric and machine-learning demand-forecasting models, run research and experiments to improve accuracy and scalability, collaborate with product, data engineering and MLOps teams to deploy models to production, and communicate technical results to non-technical stakeholders.

Develop and implement econometric and machine learning models for demand forecasting; research and evaluate novel approaches to improve accuracy, robustness, and scalability; collaborate with product, data engineering, MLOps and platform teams to deploy ML systems in production; communicate findings to non-technical stakeholders.

Design, research, and deploy econometric and ML models for demand forecasting. Improve model accuracy, robustness, and scalability; collaborate with product, data engineering, and MLOps; communicate technical results to non-technical stakeholders.

Build and deploy econometric and machine learning models for demand forecasting. Research and test novel approaches to improve accuracy and scalability. Collaborate with product, data engineering, MLOps, and platform teams to productionize ML systems. Communicate technical findings to non-technical stakeholders.

Build and deploy econometric and ML models for demand forecasting, research novel approaches to improve accuracy and scalability, collaborate with product and engineering to productionize models, and communicate technical findings to non-technical stakeholders.

The Director of Product will define strategy for complex product domains, drive execution, and ensure real customer value through AI-driven products.

Manage strategic enterprise client relationships to ensure satisfaction, commercial performance, product alignment, renewals, and adoption. Coordinate cross-functional teams, analyze client performance metrics, identify expansion opportunities, and represent client needs to influence product and service improvements. Travel to client meetings and industry events as needed.

Manage strategic client relationships across verticals, drive product adoption and commercial performance, coordinate cross-functional teams for delivery, support renewals, analyze client metrics, and represent client needs to influence product development. Travel for client meetings as needed.

The Program Manager will lead program delivery for key customers, manage Agile processes, and oversee product delivery while collaborating with cross-functional teams.