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The Senior Product Manager will own the product area lifecycle from strategy to execution, focusing on AI-driven data analytics and preparation in a high-growth environment, while collaborating with cross-functional teams to ensure product success and addressing customer needs.

As a Forward Deployed Solution Engineer, you'll drive the technical journey from customer engagement to production, building and shipping solutions, managing deployments, and advising clients on scalability and best practices.

The role involves testing front-end and back-end services in a micro-services architecture, managing testing projects, and implementing CI/CD while collaborating with engineering teams.

As a Staff Software Engineer at Prophecy, you'll own features end-to-end, designing, coding, testing, and launching new functionalities in a dynamic, startup environment focused on data engineering.

The Product Designer will create intuitive AI-powered user experiences for data analysts, focusing on end-to-end product design, usability, and cross-functional collaboration.

The Partner Sales Manager will drive revenue through partner relationships, manage co-selling activities, and build effective partner programs with platforms like Snowflake and Databricks.

The role involves testing new product features, documenting workflows and insights, and collaborating with product teams to create clear user documentation.

Design, implement, test, and deliver backend features for Prophecy's IDE with end-to-end ownership. Work in agile cycles solving deep-tech data engineering problems, leveraging Scala/functional programming and Spark internals, and iteratively improving systems with strong debugging and software design practices.

The Customer Success Manager coordinates initiatives across teams, ensuring customer success and managing onboarding, governance, and reporting through various project management tools.

Join Prophecy as a Machine Learning Engineer focusing on LLM/agent building, deploying agents for various use cases, and optimizing models. A minimum of 6 years in software engineering with AI/ML experience is required.