Principal Technical Product Manager, Blue River Technology

• Bachelors in Computer Science, Data Science, Engineering or relevant areas
• 12 or more years of experience as a Technical Product Manager, in medium- to complex products, platforms and programs
• Experience in an Agile team that has written, prioritized, and delivered on a roadmap using the Scrum/Kanban methodologies
• Be comfortable using agile project management tools such as Jira and Confluence
• Must have worked to develop and/or scale Data and CVML platform
• Familiarity with AWS, Azure or GCP cloud platforms and services in the Data and CVML space
• Familiarity with hardware stack, perception systems and smart camera systems
• Familiarity with Delta, Relational, NoSQL and cloud databases
• Familiarity with Data Annotation and Data Labeling processes, pipelines and tools
• Familiarity with DataOps and related sets of practices, processes and methodologies
• Familiarity with ModelOps and related set of practices, processes and methodologies
• Experience working on projects with a technical customer base and focus on great developer experience
• Experience employing quantitative, experimentation-based problem-solving skills to make improvements
• Ability to work collaboratively and effectively across highly technical, cross-functional teams
• Excellent communication skills with the ability to translate technical subjects to their impact on business needs
• Strong analytical, teamwork, leadership, critical thinking, multitasking and time management skills and the ability to influence successfully in a highly matrixed organization
• Self-motivated, independent thinker who excels in ambiguous environments
• Product-first mindset

Desirable

• As a principal technical product manager on this team, you will have the opportunity to lead planning and development efforts for our data and CVML platforms. In this role, you will collaborate closely with the development team and various cross-functional program team customers to create the execution roadmap
• Ou will also receive support from a highly technical team that is dedicated to creating scalable and strategic solutions for the phases of our Data and CVML platform-as-a-service offering that deal with data ingestion, storage, and access, data annotation, labeling, and exploration, model training, deployment, and monitoring
• Drive collaboration cross-functionally across the entire organization (data scientists, Full Stack engineers, ML engineers, infrastructure engineers, and multiple program team leads) to translate customer needs and opportunities into clear and concise goals, objectives, epics, and stories that encompass the end-to-end workflows in the Data and CVML platform-as-a-service offering
• Help the Data and CVML platform team understand the assumptions, dependencies, “what” and “why” of customer goals, initiatives, epics and stories
• Gather business requirements and compare existing software capabilities to be able to create gap analysis and drive the gaps to closure
• Be a roadblock smasher that helps teams get to clarity from ambiguous situations so they can size technical requirements by concretely defining the acceptance criteria
• Dealing with ambiguity and unknowns is a must-have skill to be successful in this role
• Work with engineers to understand technical solution options and their tradeoffs to ensure the delivered product meets user needs
• Experience in creating requirement for scalable and performant APIs, data access patterns, data warehousing, data lakes, delta lakes, and cost optimization initiatives on the cloud
• Experience in driving multiple concurrent initiatives involving the key building blocks (MLOps, DataOps, Labeling, EDA & Search, cost optimizations, developer tools, etc.) of a CVML development lifecycle workflow
• In partnership with the development teams to perform functional testing of system enhancements/changes resulting from the work effort
• Familiarity with structured and unstructured data, machine learning models and metrics
• Track and manage cross-functional dependencies to establish priorities and mitigate risks to product delivery
• Ability to explain technical concepts to peers, people from various parts of the organization, non-technical people, and executives
• Positive attitude toward changes and late-stage project scope updates (which often constantly changing until the last second)
• Excellent analytical, attention-to-detail, troubleshooting, problem-solving, communication, and teamwork skills
• Reporting to internal and product line leadership on platform status and timelines
• Communicate status, key issues, and launch plans to decision-makers across the organization
• Assist in creating documentation to outline project goals and track progress
• Develop presentations and slide content for a variety of audiences