Note: The job is a remote job and is open to candidates in USA. Cambium Assessment is an educational technology solutions leader dedicated to helping students reach their potential. They are seeking a Senior Technical Project Manager to manage high-impact AI initiatives, oversee the AI roadmap, and collaborate with cross-functional teams to enhance systems and processes.
Responsibilities
- Co-Manage the AI Roadmap: Work closely with the AI Engineering Lead to manage the team's long-term technical vision, evaluate emerging AI technologies, and assess the feasibility of proposed solutions
- Identify AI Opportunities: Collaborate with the team to identify areas where generative AI or predictive models can optimize systems, processes or enhance feature sets
- Triage Complex AI Systems: Troubleshoot systemic technical issues across data pipelines, backend services, and model deployment layers, understanding data dependencies to manage the engineering escalation pipeline
- Advanced Data Validation: Execute SQL queries to validate, inspect, and analyze complex training and production datasets, ensuring absolute data integrity across systems
- Manage Release Windows: Coordinate system deployments and model release cycles in close alignment with developers, DevOps, and systems engineering teams
- Support Operational Maintenance: Oversee deployment activities during maintenance windows to ensure smooth cross-system stability and timely engineering resolution if issues arise
- Drive management tracking and execution in Jira, actively managing the backlog, tracking active sprints, and reporting delivery status
- Translate complex technical findings and system constraints into clear, actionable insights for non-technical leadership
- Lead Matrixed Deliveries: Coordinate the end-to-end execution of multi-team AI initiatives, mapping out system-wide dependencies across multiple teams
- Agile Management: Drive management tracking, sprint planning, and active backlog grooming in Jira/Confluence, optimizing workflows for the unique iterative/probabilistic lifecycle of AI development
Skills
- Bachelor's degree in computer science, Data Science, or a related technical field with 7+ years of technical project management experience (or a Master's degree with 5+ years of experience)
- Solid grasp of core AI/ML concepts (e.g., LLMs, RAG pipelines, fine-tuning vs. prompting, model evaluations) and data pipeline infrastructure
- Demonstrated ability to write and execute basic-to-intermediate SQL queries, alongside a proven ability to interpret backend web application components and system data relationships
- Comfort utilizing modern AI-assisted engineering productivity tools (e.g., Copilot, Cursor, or automated workflow agents) to accelerate delivery tracking
- Prior experience deploying production-grade generative AI features, agentic workflows, or natural language processing (NLP) applications
- Exposure to incident management or high-pressure production support in cloud computing environments
Company Overview
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