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Senior Product Manager, Smart Manufacturing

Weyerhaeuser NR Company Seattle, WA

Seattle, WA

Today

Full time Advanced Manufacturing Automation Business Analytics

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Job Description

Advance smart manufacturing with a role focused on measurable operational and financial impact. This onsite position in Seattle, WA supports Weyerhaeuser NR Company in building and improving digital products across smart manufacturing and operational technology. You will own product strategy and roadmaps, partner across OT and engineering teams, and drive adoption from pilot to scale while continuously refining outcomes based on evidence.

What you’ll do

Own product strategy and roadmaps for a portfolio of smart manufacturing and operational technology opportunities, turning customer problems and business priorities into clear investment choices.
Spend time with frontline users, operational leaders, and technical partners to understand workflows, pain points, constraints, and unmet needs, then translate those insights into well-defined product opportunities.
Prioritize across opportunities using customer evidence, strategic fit, value, cost, risk, technical feasibility, timing, and organizational capacity, with explicit pursue, defer, and stop recommendations.
Lead products through the full lifecycle, from discovery and business-case development through pilot, launch, adoption, scale, measurement, continuous improvement, and retirement when appropriate.
Define product outcomes and success measures, build credible business cases, and partner with Finance and business owners to track adoption and realized operational and financial value.
Partner closely with OT, engineering, data science, architecture, cybersecurity, operations, and vendors to shape solutions that are safe, secure, reliable, supportable, and suited to the operating environment.
Create alignment across cross-functional teams by setting the product vision, customer problem, priorities, decision rights, milestones, and trade-offs while leaving specialist implementation decisions with experts.
Build trusted relationships across manufacturing sites and corporate teams, communicating product direction clearly to frontline users, technical teams, and senior leaders.
Lead adoption as part of the product, incorporating workflow fit, usability, trust, training, support, incentives, and change readiness into product and rollout decisions.
Use evidence and learning to adjust scope, sequence, product direction, or investment, and stop or redirect work when value is not sufficient.

What you bring

5+ years of Product Management experience with direct ownership of digital products across discovery, prioritization, delivery, adoption, and value realization.
Proven ability to identify meaningful customer problems, conduct direct user discovery, and translate evidence into product strategy, roadmaps, and priorities.
Strong product judgment, including experience making difficult trade-offs across customer value, business impact, technical feasibility, risk, cost, timing, and capacity.
Experience developing business cases, defining measurable outcomes, and evaluating whether launched products achieved expected adoption and value.
Track record leading complex, cross-functional product work and influencing business and technical partners without relying on formal authority.
Experience delivering digital products in complex operational environments where reliability, safety, security, workflow fit, and change adoption materially affect success.
Sufficient technical fluency to partner effectively with engineering, data/AI, architecture, cybersecurity, and operational technology specialists, and to communicate technical choices in business terms.
Clear written and verbal communication skills to build alignment from frontline users through senior leadership.
Bachelor’s degree or equivalent practical experience.

Technologies you may work with

AI, machine learning, computer vision, industrial analytics, connected equipment, automation, Operational Technology (OT), cybersecurity, industrial data, IoT, advanced analytics, optimization, decision-support.

Preferred experience

Direct experience in manufacturing, industrial operations, Operational Technology, reliability, automation, process improvement, industrial data, or another complex physical operating environment.
Product experience involving AI, machine learning, computer vision, IoT, advanced analytics, optimization, or decision-support capabilities.
Experience scaling a digital product across multiple sites, business units, or operating contexts.
Experience working with frontline users and site-based teams to integrate digital products into established operational workflows.

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