Product Manager

Key Responsibilities We are seeking an experienced Product Manager to lead the strategy, development, and lifecycle management of an innovative DeltaV integration and automation toolchain supporting a large-scale pharmaceutical manufacturing and automation program. This role focuses on delivering an AI-enabled engineering workflow that transforms complex design deliverables-including P&IDs, Functional Specifications (FS), IO Lists, and other engineering documentation -into configured DeltaV control system assets and batch recipe content. Powered by modern LLM technologies, AI agents, and full-stack software applications , the platform is designed to accelerate automation delivery while maintaining compliance within a highly regulated GxP manufacturing environment . Working at the intersection of industrial automation, pharmaceutical manufacturing, software product management, AI/LLM technologies, and compliance , you will define the product vision, own the roadmap, coordinate stakeholder requirements, and ensure delivery of scalable, validated digital solutions. Product Strategy & Roadmap Ownership Define, maintain, and communicate the product roadmap for a multi-phase DeltaV automation toolchain. Align product priorities with project milestones, business objectives, software development capacity, and governance requirements. Balance technical, operational, quality, and end-user needs throughout the product lifecycle. Establish product vision and drive feature prioritization across multiple workflow streams. Requirements Management Gather, document, and prioritize requirements from engineering, software, automation, validation, and business stakeholders. Translate complex process, automation, and regulatory requirements into detailed product specifications and user stories. Guide development activities across applications such as: P&ID data extraction tools Functional Specification processing utilities Engineering spreadsheet generation platforms Recipe generation and configuration applications Automated workflow and validation solutions Stakeholder Engagement Serve as the primary liaison between business stakeholders, software development teams, automation engineers, and governance groups. Facilitate recurring requirement reviews, roadmap discussions, feedback sessions, and product demonstrations. Communicate project progress, risks, priorities, and delivery status to both technical and executive audiences. Support sponsor and leadership meetings by providing product updates and strategic recommendations. Validation & Compliance Leadership Own the validation strategy for AI-enabled solutions operating in regulated environments. Ensure products align with: GxP requirements 21 CFR Part 11 expectations ALCOA+ data integrity principles Computer System Validation (CSV) methodologies Electronic audit trail requirements Define success criteria and quality standards including: Precision and recall measurements Verification and validation approaches Traceability requirements Risk-based assessment methodologies Tool Governance & Adoption Act as the business owner and custodian for deployed tools. Oversee ongoing maintenance, enhancement planning, release management, and user support. Coordinate training activities for engineering and project teams. Drive product adoption and continuous improvement initiatives. Program Support Collaborate with project leadership to monitor delivery metrics, schedules, resource utilization, and scope management. Identify potential technical, commercial, or operational risks early and develop mitigation strategies. Support transparent reporting on progress and delivery performance. Product Environment The platform consists of multiple interconnected solutions designed to accelerate automation engineering workflows through the use of AI and modern software development practices. Associated technologies and concepts include: DeltaV Claude AI LLM-powered applications AI agents and agentic workflows Python-based software development Web applications and APIs JSON data structures CSV data transformation SQLite databases Git-based version control Engineering workflow automation Digital engineering toolchains Batch recipe generation Automation configuration management Preferred Background We recognize this position sits at the convergence of multiple specialized disciplines. Candidates may possess strengths in different areas while continuing to develop expertise in others. Required Qualifications 5+ years of Product Management experience. Minimum 2 years supporting pharmaceutical, biotechnology, life sciences, or other regulated manufacturing environments. Working knowledge of: GxP compliance 21 CFR Part 11 ALCOA+ CSV Audit trail requirements Experience bringing AI or LLM-enabled products into production environments. Familiarity with technologies such as: Claude AI OpenAI Other enterprise AI platforms Prompt engineering methodologies Agentic architectures Experience writing detailed product requirements for full-stack software teams. Understanding of modern software development processes involving: Python backends Web-based user interfaces API integrations Strong communication and stakeholder management skills. Ability to effectively engage both technical contributors and executive leadership. Preferred Qualifications Experience within engineering, procurement, construction (EPC), automation, or capital project environments. Exposure to evolving engineering documentation including: P&IDs Functional Specifications IO Lists Understanding of: ISA instrument naming conventions P&ID interpretation Process automation workflows Experience with: Git version control JSON modeling Data pipelines Workflow orchestration platforms Highly Desirable Product management or program management experience related to: Distributed Control Systems (DCS) Industrial automation software Engineering digitization initiatives AI/ML-enabled automation platforms Exposure to major automation vendors such as Emerson, Honeywell, Siemens, Rockwell Automation, or ABB. What You'll Be Working On This is not a traditional maintenance-focused product role. The successful candidate will help shape a next-generation automation platform that applies AI to the engineering lifecycle-from document interpretation and structured data extraction through system configuration, workflow validation, and recipe generation. The solutions being developed are intended to improve the speed, consistency, and quality of automation delivery across large-scale GMP manufacturing programs by combining advanced software engineering practices with industrial automation expertise. You will play a central role in determining: What functionality gets built. How features are prioritized. How AI-generated outputs are validated. How tools are deployed and adopted. How compliance requirements are maintained throughout the product lifecycle. Compensation & Travel Competitive compensation package based on experience. Travel required to support project and stakeholder engagement activities. Opportunity to work on a highly visible automation, digital transformation, and AI initiative within a regulated manufacturing environment. #J-18808-Ljbffr