About the Role:
The Technical Product Operations team at Cruise applies human intelligence to some of the toughest problems at Cruise.
We provide AI/ML Data Products & Services critical for:
ML model development, training & testing
AV performance testing, monitoring & diagnosis, and
HD map creation, maintenance & routability.
We have a large, globally distributed workforce and are integral to Cruise’s technology development.
In this role you’ll be supporting the team at-large (across all Data Product verticals), primarily focused on Operations Analysis & Operations Enablement.
What you’ll be doing:
Performance analysis & performance management - driving continuous improvement.
Working with product category and production leads to define KPIs and metrics to measure product performance, cost, quality, and efficiency
Working with support teams to drive metrication via tooling feature enhancements and data pipeline creation/maintenance
Building dashboards to provide continuous performance monitoring & reporting
Digging into key issues with in-depth analysis to prioritize improvement projects across the teams
Supporting budget planning & execution (Annual Budget Plan, Monthly LE, Special Project Business Cases, etc.)
Managing and enabling vendor/partner performance.
Conducting Market analysis to continually optimize our vendor mix for price, performance, and scalability - including benchmarking, RFI/RFP management, etc.
Managing user/group role definitions, access maps, and issue resolution to maintain user access rights and high levels of uptime across a broad user network
Supporting Contracting and Budget Execution (MSA, SOW, Purchase Orders, Invoice Reconciliation, etc.)
Leading special projects (e.g., new partner on-boarding, transitions, etc.)
Driving monthly and quarterly governance mechanisms (QBRs, MBRs) with all partners to drive performance and continuous improvement
Defining process & tooling requirements for end-to-end production management and product fulfillment; interfacing with engineering teams to drive roadmap priorities and new feature deployments
What you must have:
Bachelor’s degree in business, operations, data analytics, or a related field
3+ years of experience in operations analysis, management consulting, supply chain management, or related field
Very strong communication and collaboration skills
Advanced SQL knowledge and experience with relational databases
Experience building data pipelines and delivering robust data analysis
Experience with process re/design for efficiency and quality improvement
Experience working with Partners/Vendors in an integrated production or services context
Program/project management proficiency
High-level of proficiency in Excel/Google Sheets
Flexibility, and a willingness to handle ambiguity
Bonus Points:
Basic Python capabilities
Prior experience in Autonomous Vehicles, ML Operations, or similar
Prior experience working with HITL workflows for data enrichment
The salary range for this position is $126,000 - $185,300. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change.