Product Manager

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.

Key Responsibilities

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.

Application Process

Please submit:

1. An up-to-date resume.
2. A brief summary (maximum one page) describing:
   • An AI, automation, or software product you have delivered.
   • The business problem it addressed.
   • How success and compliance were measured.
   • Key lessons learned and what you would improve in future iterations.

Applications demonstrating practical experience with AI-enabled products, automation workflows, or regulated system delivery will be viewed favorably.