Senior Technical Project Manager

Job Overview We are seeking an innovative and highly proactive Senior Technical Project Manager (TPM) to manage high-impact, cross-functional AI initiatives here at Cambium Assessment. In this role, you will manage an AI roadmap and work closely with the AI Engineering Lead, including contributing to the technical roadmap, evaluating AI use cases, and managing the workload and schedule of the team. Job Responsibilities: AI Roadmap, Innovation & Strategic Partnership - Partner closely with the AI Engineering Director on these responsibilities: Co-Manage the AI Roadmap : Collaborate to synchronize the long-term AI technical vision with core business objectives, maintaining a dynamic, prioritized product backlog that balances groundbreaking R&D breakthroughs against immediate operational deployment timelines. Identify & Evaluate AI Opportunities : Collaborate with cross-functional teams to identify where generative AI, predictive models, or multi-agent architectures can optimize systems or enhance feature sets. Evaluate use cases based on an explicit matrix of technical feasibility, compute constraints, and operational velocity. Optimize AI CSSC Throughput : Proactively surface and eliminate technical and process bottlenecks within the SDLC and non-engineering operational tasks to maximize cross-functional delivery speed. Manage and Monitor AI Metrics (Velocity & Success Measurement) : Define, track, and report on core AI development velocity metrics-including model iteration cycle times, dataset preprocessing speeds, and time-to-production for fine-tuned models. This includes measuring the implementation velocity of our non-engineering teams (e.g., QA, Data Analysis, Web Design, Technical Project Management Teams), tracking their integration of AI-assisted testing agents and automated data parsing pipelines to compress overall SDLC and operational workflows. Track Compute & ROI Efficiency : Monitor and report on the operational costs of AI experimentation and deployment (e.g., token usage, API costs, cloud training compute) to ensure fast-paced innovations align with clear enterprise value and efficiency goals. Manage Continuous Staff AI Training & Upskilling : Architect and manage structured training programs, technical workshops, and knowledge-sharing pipelines to continuously upskill engineering staff. Track team adoption metrics for emerging AI frameworks, secure prompt engineering standards, and internal developer tools to ensure the broader technology organization maintains a cutting-edge baseline of AI literacy. Technical Analysis, Triage & Data Integrity 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. Deployment Management: 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. Project Management & Delivery, including Cross-Functional Collaboration 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. Job Requirements: Experience: 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). AI & Data Literacy: Solid grasp of core AI/ML concepts (e.g., LLMs, RAG pipelines, fine-tuning vs. prompting, model evaluations) and data pipeline infrastructure. SQL & System Architecture: 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. AI-Native Experience: Comfort utilizing modern AI-assisted engineering productivity tools (e.g., Copilot, Cursor, or automated workflow agents) to accelerate delivery tracking Preferred Qualifications: AI Delivery Track Record: Prior experience deploying production-grade generative AI features, agentic workflows, or natural language processing (NLP) applications. Production Support & DevOps: Exposure to incident management or high-pressure production support in cloud computing environments. To learn more about our organization and the exciting work we do, visit Remote First Work Environment Our Remote First approach gives employees the flexibility and trust they need to effectively balance work with life. It creates a culture in which all employees are valued and where success is measured in results. It allows us to work collaboratively, inclusively and for greater positive impact, regardless of our individual locations. If you will be working remotely, either occasionally or on a permanent basis, you must have a reliable internet connection through a cable or fiber-optic broadband service with minimum speeds of 10 Mbps download and 5 Mbps upload. The successful candidate will be expected to actively participate in video-based interviews during the recruiting process and ongoing virtual meetings with their camera on, as part of their role. To maintain confidentiality and ensure a fair evaluation process, the use of note-taking tools, reference materials, or AI-powered tools (including generative AI, language models, or similar technologies) during interviews or other selection activities is prohibited unless prior written approval has been obtained from the People Experience team. If you require an exception for medical, accessibility, or other reasons, please contact your Talent Acquisition team member to discuss accommodations in advance. As part of our Remote-First benefits, Cambium offers reimbursement to help cover the cost of setting up your home or remote office. An Equal Opportunity Employer We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, age, religion, sex (including pregnancy, gender, gender identity/expression, or sexual orientation), national origin, protected veteran status, disability, or genetic information (including family medical history). We will provide reasonable accommodations for qualified individuals with disabilities. You may request an accommodation during the recruiting process with your Talent Acquisition team member. Cambium Learning Group