Senior Manager, AI

Paper

6d • $195,000 - $220,000 • Remote

About The Position

We are building the first B2B, in-classroom Voice + Video AI Tutor designed for real-world learning environments. Our system operates in live classrooms—processing noisy audio, interpreting visual signals, and delivering low-latency, safe, pedagogically aligned AI support to educators and students. We are seeking a Senior AI / Machine Learning Manager to lead a team of 3–5 ML engineers and data scientists building multimodal AI systems that power critical product features across our platform. This team develops trained models, generative AI systems, and agentic learning assistants that support millions of learners and educators. You will be responsible for defining the technical direction, mentoring the team, and delivering production-ready AI capabilities that operate reliably in complex real-world environments. This is a high-impact role with significant technical ownership, shaping how AI is embedded into our platform—from early research and experimentation through deployment and continuous optimization. You will work closely with Product, Data, Platform, and Engineering leaders to bring cutting-edge AI capabilities into classrooms at scale.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
• 7+ years of experience building production-grade AI/ML systems.
• 2+ years leading or managing ML/AI teams.
• Experience delivering both traditional ML models and generative AI systems in production.
• Experience building multimodal systems involving audio, video, or sensor data.
• Demonstrated expertise in model evaluation, including automated testing and human review protocols.
• Experience operationalizing models using modern MLOps practices.
• Strong hands-on experience with Python and modern ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience working with LLMs and AI orchestration frameworks.
• Deep understanding of the end-to-end ML lifecycle, including data pipelines, training, evaluation, deployment, and monitoring.
• Familiarity with cloud-native ML infrastructure and distributed systems.
• Strong mentorship and people leadership skills.
• Ability to communicate complex technical concepts clearly to technical and non-technical stakeholders.
• Proven ability to lead teams with clarity, empathy, and accountability.
• Track record of delivering production AI systems with measurable user impact.
• Experience managing cross-functional AI initiatives from ideation to production.
• Ability to balance technical innovation with pragmatic execution.

Nice To Haves

• Experience building AI systems in EdTech or education-focused products.
• Experience developing retrieval-augmented generation (RAG), agentic systems, or AI copilots.
• Experience working with real-time AI systems (speech, vision, or multimodal pipelines).
• Experience deploying multimodal models involving text, audio, image, or video inputs.

Responsibilities

• Technical Leadership Lead the design, development, and deployment of AI-powered product features, including trained models, generative AI systems, and agentic learning assistants.
• Architect systems that support real-time multimodal AI, integrating signals from audio, video, and text to support classroom interactions.
• Guide architecture decisions for LLM orchestration, prompt frameworks, retrieval systems, and agent-based workflows.
• Ensure AI systems meet strict requirements for latency, safety, and reliability in live classroom environments.
• Establish best practices for model development, evaluation, monitoring, and MLOps.
• Agentic Learning Systems Design and implement agentic AI systems that guide, coach, and teach students through interactive learning experiences.
• Build AI capabilities that support adaptive instruction, classroom assistance, and educator workflows.
• Develop safe, pedagogically aligned AI interactions appropriate for real-world classroom use.
• Team Leadership Manage and mentor a team of 3–5 ML engineers and data scientists.
• Provide technical coaching, career development, and performance management.
• Foster a culture of ownership, experimentation, and rapid iteration.
• Help scale the AI team through hiring and organizational development.
• Project & Cross-Functional Collaboration Partner with Product, Engineering, Data, and Platform teams to shape the AI roadmap.
• Translate product requirements into technical architectures and execution plans.
• Drive AI initiatives from research and prototyping through production deployment.
• AI Quality, Evaluation & Experimentation Establish rigorous evaluation frameworks for generative AI and ML systems.
• Implement both automated evaluation pipelines and human-in-the-loop review processes.
• Monitor system performance and continuously improve models through experimentation and feedback loops.
• Platform & Infrastructure Collaborate with platform and DevOps teams to build scalable AI infrastructure and services.
• Develop reusable tooling for model training, deployment, monitoring, and experimentation.
• Ensure AI systems are cost-efficient, observable, and maintainable at scale.

Benefits

• Comprehensive & competitive compensation, health benefits, retirement plan, stock options, and more.
• In addition to vacation days, we provide Paperites with sick days and 4 extra weeks off - including statutory holidays, Paper Days throughout the year, and a full Paper Week from Dec 25 to Jan 1.
• A $500 stipend to set-up your workspace and $100 monthly stipends to support with on-going workspace needs.
• We support growing families with generous paid parental leave.
• Unlimited access to tutoring and educational support for children of Paper employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level