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VP of Product Management

Job in Parsippany-Troy Hills, Morris County, New Jersey, USA
Listing for: OLI
Full Time position
Listed on 2026-01-09
Job specializations:
  • IT/Tech
    Product Designer
Job Description & How to Apply Below

VP of Product Management

Title: VP of Product Management
Location: Hybrid – Parsippany, NJ

Mission of the Role

Define and drive OLI’s product vision and roadmap, transforming customer challenges into breakthrough solutions. Embed AI at the heart of product—accelerating expert workflows, surfacing predictive insights, and lowering the barrier to adoption—while preserving scientific rigor and trust. Cement OLI’s status as the global standard in predictive chemistry, where insight, innovation, and impact converge.

About OLI

OLI Systems is a global leader in software development for complex chemical phenomena. Our process modeling solutions transform problem‑solving for over 500 enterprises and academic institutions across 35+ countries. We drive innovation and sustainability, leading industrial digital transformation with real‑time chemistry insights, automated systems, and cloud‑based analytics.

The Story – Why This Role Matters

OLI’s mission is to solve the unsolvable for a more sustainable future. For fifty years we have built the most advanced chemistry modeling software in the world. Our customers—leading manufacturers, energy companies, and operators—use our platform to solve problems no one else can. Complexity rises as OLI scales. The Product Manager bridges science, engineering, design, and market—making tough prioritization calls, rallying cross‑functional teams, and translating long‑term vision into actionable roadmaps.

Key Responsibilities
  • Vision & Roadmap – Define and own OLI’s product vision and strategy; develop a roadmap across verticals; align with customer feedback, research pipeline, and long‑term platform vision; identify where AI can amplify existing use cases or unlock new ones.
  • Design & Experience – Apply design thinking to workflows and interfaces; architect human + AI interactions—automation, suggestion, confirmation, fallback modes; simplify complexity, turning advanced chemistry models into intuitive tools that engineers and operators can trust and enjoy.
  • Stakeholder Alignment – Run a structured intake and prioritization process for requests; communicate roadmap decisions with transparency and clarity; act as the voice of the customer in roadmap decisions; lead customer advisory boards, discovery interviews, and feedback loops.
  • Execution & Delivery – Partner with engineering and research to translate requirements into deliverables; track progress, resolve blockers, and report outcomes to leadership; monitor trends in advanced modeling, sustainability pathways, and digital chemistry to keep OLI differentiated against competitors and substitutes.
  • Key Metrics of Success – Roadmap clarity and adoption across leadership (≥ 60 NPS internal satisfaction); on‑time delivery of major roadmap milestones; measurable adoption of new features by customers (≥ 50% of target customers within 12 months); customer engagement (≥ 4.5/5 satisfaction with product direction in executive reviews); contribution to revenue growth via roadmap‑driven deals (directly or indirectly attributable).
We’re Looking For
  • Advanced chemical, petroleum, or materials engineering degree strongly preferred.
  • 8+ years in product management or adjacent leadership roles in software, modeling, or industrial technology.
  • Proven track record of bringing complex technical products to market.
  • Design sensibility—experience shaping intuitive, user‑centered products or processes.>
  • Builder‑coach leadership style, high integrity, strong communicator and collaborator.
Required Competencies
  • Customer Obsession – Builds direct relationships with customers to understand pain points and future needs; translates these into product requirements.
  • Stakeholder Management – Navigates competing demands from vertical leads, research teams, and customers. Gains trust and aligns groups around clear priorities.
  • Design Thinking – Brings a structured approach to problem framing and workflow design; simplifies complex science into usable, elegant solutions that delight engineers.
  • Collaboration – Partners with Technology, Commercial, and Research to ensure seamless execution.
  • AI & Data Fluency – Fluency with AI/data: model constraints, feedback loops, human‑in‑loop…
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