Shift5

Product Manager

• Define what Shift5 will build and why, developing product strategies, roadmaps, and delivery timelines for on-vehicle and off-vehicle data pipelines, APIs, and SDKs.
• Own the on-time, on-budget shipping of product value and collaborate closely with engineers to design and execute solutions.
• Gather signal from across forward-deployed teams to synthesize insights into product direction and continuous feature improvement.
• Interface directly with Field Engineers and 3rd-party developers to iterate on data pipeline, API, and SDK designs.
• Build and present product demos to both internal and external stakeholders to showcase how product features drive concrete operational outcomes.
• Write and maintain comprehensive product documentation informed by regular, hands-on use of your portfolio of products.

Senior Product Manager

Data Engineer

• Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
• Interpret requirements and design specifications, taking full ownership of building features from the ground up. Mentor and lead the rest of your team to deliver the right solutions.
• Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.
• Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry.
• Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making.
• Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services.
• Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines.
• Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.

Staff Data Engineer

Data Scientist

• End-to-End Project Scoping: Take ownership of data science projects from initial problem definition and hypothesis building to final, actionable deliverable.
• Product Generalization: Take one-off customer insights and solutions and build them back into the broader, deployable suite of Shift5 core products.
• Cross-Functional Collaboration: Partner with embedded analysts, deployment strategists, and forward-deployed engineers to translate complex analyses into immediate customer value.
• Advanced Data Analysis: Perform complex statistical analyses to push the envelope, interpret trends, and break new ground in leveraging operational data for diagnosis and prediction.
• System Optimization: Work closely with programmers, engineers, and leadership to identify process improvements, propose system modifications, and devise long-term data strategies.

Senior Product Manager

Staff Data Engineer

Applied Data Scientist