AIMLLarge Language ModelsRAGDatabricksJiraAgileLeadershipMentoringProduct Management
About this role
Role Overview
Senior Product Manager serves as an experienced individual contributor within a team, with the expectation that you will further develop your leadership, guidance and mentoring skills.
With minimal oversight from leadership, you will be responsible for supporting the goal of meeting scope, schedule and delivery requirements.
A Senior Product Manager impacts the long-term goals of the program, while contributing to the development of the programs product management practice.
You may serve as the disciplines primary lead when working with stakeholders and utilize strong influential skills to drive improvements in product management processes and practices.
Strong influential skills to build relationships with internal and external stakeholders
Serves as a mentor and coach to other team members
Leads cross functional efforts for delivery team members and team leads; may serve as the primary technical point of contact for stakeholders
Primarily focused on program and delivery strategy, but also supports tactical assignments
Considered an expert with agile methodologies; ability to lead cross-functionally and deliver based upon requirements
Leads a cross-functional team to deliver new products given the mission and goals of the customer.
Works with a client/product owner to shape the vision and strategy for a product or program and adopt more iterative and outcome-driven ways of working
Shapes the vision and narrative for the product by developing artifacts, like roadmaps; with the goal of instilling a shared purpose and metrics to define success
Works with customers to develop strategies that focus on the highest value outcomes for the program given goals, needs, and constraints
Successfully advocates for user needs and lean methods when setting priorities and managing tradeoffs
Requirements
Bachelors degree and 8+ years of experience or Masters degree with 6+ years of relevant experience.
1+ years experience directing assignments for cross-functional teams.
Demonstrated mastery of Agile/SAFe methodologies and best practices.
Expert proficiency in Jira configuration, dependency tracking, and backlog management.
Deep familiarity with the Databricks platform.
Foundational understanding of AI/ML deployment, including Model Serving, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), vector indexing, and AI observability.
Comfortable creating technical documentation, and directly testing systems or platforms alongside engineering teams.