[Remote] Senior Product Manager (Temporary 2-3 months)
Note: The job is a remote job and is open to candidates in USA. Ad Hoc LLC is a technology company that empowers organizations to deliver scalable, impactful digital services. The Senior Product Manager will lead cross-functional teams, mentor team members, and shape the vision and strategy for products while ensuring delivery meets scope and schedule requirements.
Responsibilities
- 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
Skills
- Bachelor's degree and 8+ years of experience or Master's 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
Company Overview