Product Operations Manager

About Pryon:  We’re a team of AI, technology, and language experts whose DNA lives in Alexa, Siri, Watson, and virtually every human language technology product on the market. Now we’re building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG) platform. Our proprietary, cutting-edge natural language processing capabilities transform unstructured data into meaningful experiences that increase productivity with unmatched accuracy and speed. As a Product Operations Manager at Pryon, you will play a pivotal role in driving the program delivery of our enterprise-grade AI/knowledge management platform from strategy to execution. You will own all aspects of technical program management to deliver Pryon Platform ensuring delivery is on schedule, within budget, and meets the customer's requirements. You’ll work across engineering, product, infrastructure, and customer teams to ensure that our ingestion, retrieval, inference, and deployment pipelines scale, perform and meet rigorous reliability, security and user-outcome goals. In doing so, you will enable Pryon to bring its Enterprise Memory Layer vision into production at scale.  In This Role, You Will:

Program Leadership & Execution 

Lead complex, multi-team programs spanning product, engineering, security, operations and customer success – tracking timelines, milestones, dependencies, risks and deliverables 

Define and drive program roadmaps – translate high-level strategy into actionable plans, articulate program status to senior leadership and ensure transparency 

Own all aspects of technical program management to deliver Pryon Platform capabilities on strategic agreements, ensuring delivery is on schedule, within budget, and meets the customer's requirements 

Serve as the primary technical program point of contact for executives from product, providing briefings on program status, technical roadmaps, and strategic initiatives 

Manage risks, issues, and actions, and track them regularly to meet expected outcomes and timelines 

Enterprise Product Roadmap Management 

Build and maintain a prioritized, stack-ranked Feature/Epic ("Big Rocks") backlog aligned to Strategic Pillars and the V2MOM framework 

Clearly delineate Product-driven vs Engineering-driven deliverables 

Establish and manage a real-time, dynamic roadmap to support continuous delivery 

Enable emergent release notes and lightweight tech specs directly from System of Record 

Drive continuous delivery aligned to Product Strategic Pillars 

Strategic Initiative Delivery 

Establish delivery spaces and operating models for strategic initiatives and MVPs 

Partner with Principal Engineers and architects to define foundational Epics and Features 

Act as Scrum Master/Delivery Lead for key initiatives to ensure predictable execution 

Coordinate cross-functional alignment, ensuring all technology teams are synchronized, objectives are clear, and blockers are surfaced and resolved 

Product Delivery Lifecycle & Workflow Optimization 

Design logical, lightweight Feature/Epic workflows 

Implement unified squad-level development workflows to enable frequent, reliable deployment 

Establish a clear hierarchy aligned to strategic intent (V2MOM) 

Manage technical dependencies and integration risks 

Proactively identify architectural, infrastructure, security and compliance issues (including regulatory or enterprise-grade security controls) 

Coaching & Enablement 

Introduce pragmatic prioritization and flow-based delivery concepts to Product and Engineering leadership 

Coach leaders and individual contributors on Scrum, Kanban, and continuous delivery fundamentals 

Provide squad-level and 1:1 coaching on feature development and refinement 

Facilitate change management and stakeholder communication 

Continue coaching continuous delivery practices at the squad, leadership, and enterprise level 

Cross-functional Collaboration & Process Excellence 

Facilitate enterprise and cross-squad prioritization, including trade-off negotiation and stakeholder communication 

Champion and coordinate SaaS and On-Prem release readiness 

Establish durable customer feedback loops connected directly to squads 

Partner with Engineering to monitor and improve system and component health 

Ensure delivery excellence and implement best practices (agile/lean methods, risk mitigation, escalation paths, and program retrospectives) to drive continuous improvement of our delivery model 

Support go-to-market or customer deployment efforts – partner with product, sales, and services teams to coordinate new capability launches, deployment ramp-up, and customer enablement 

Product Metrics & Performance Visibility 

Implement lightweight, actionable metrics across squads, including: Features/Epics delivered vs in progress, Defects by status, Enterprise and squad-level delivery velocity, Capacity & utilization, Delivery predictability and Say/Do ratio, WIP management, Planned vs unplanned work (scope management), Risk and dependency management, ROI (anticipated vs delivered) 

Create shared visibility into delivery health without adding process overhead 

Use metrics to surface and act on improvement opportunities 

Track key metrics and drive continuous improvement, monitoring performance, scalability, quality and reliability of our platform components 

What You'll Need to Be Successful

5+ years of program/technical program management experience in a technology company, ideally with exposure to enterprise software, AI/ML infrastructure, or large-scale distributed systems 

Strong technical literacy with the ability to engage with engineering teams on architecture, infrastructure, data pipelines, APIs, and ingestion/retrieval systems 

Proven track record driving cross-functional programs with multiple teams, managing dependencies and delivering to schedule in a fast-paced environment 

Ability to translate technical complexity into business context for senior leadership, customers and partners 

Familiarity with agile/lean delivery frameworks, program tracking tools, risk management, and change management 

Experience using program management tools such as Jira, Confluence, and other tools 

A bachelor's degree in computer science, Engineering, or related technical field (or equivalent experience) 

Comfort working in a startup or high-growth environment — self-starter, adaptable, able to prioritize amidst ambiguity 

Experience with AI/ML platforms, retrieval-augmented generation (RAG) systems, knowledge management, or multimodal data ingestion (text, audio, images, video) 

Experience working in highly regulated or federal environments (working with security, compliance, air-gap/deployment on-prem or in cloud for sensitive workloads) 

Familiarity with large-scale ingestion, retrieval, distributed system performance (e.g., latency, throughput, concurrency) and infrastructure that supports it 

Hands-on experience with program tools for delivery of infrastructure or platform components (e.g., cloud services, DevOps/DevSecOps, monitoring/observability) 

Previous experience engaging with go-to-market launches, customer deployment, or professional services engagements in a SaaS or enterprise-software context 

Familiarity with V2MOM framework or similar strategic planning methodologies 

Background in implementing and coaching Scrum, Kanban, and continuous delivery practices