Senior Product Manager

Collaborate closely with AI research and data engineering teams to translate complex models into usable, scalable product features

Define product requirements for systems that leverage large language models (LLMs), predictive algorithms, and generative tools to extract, classify, and structure manufacturing data (from drawings, CAD files, and natural language requirements)

Create feedback loops between AI systems and operational users to continuously improve model performance and reliability

Lead experiments and pilot programs that validate new AI capabilities before wide-scale deployment

Translate strategic initiatives into clear, actionable roadmaps with measurable outcomes

Establish frameworks to track input/output metrics, quantifying how new AI and automation features improve key business KPIs (margin, lead time, throughput, etc.)

Prioritize trade-offs between innovation speed and reliability, ensuring that AI-based systems meet the performance standards expected of mission-critical manufacturing infrastructure

Partner with distributed engineering teams in the US, India, to ensure consistent execution and iteration velocity

Deeply understand the workflows, motivations, and friction points of engineers, procurement teams, and manufacturing partners

Use a data-driven and empathic approach to discover high-impact opportunities for AI intervention — from automated feature recognition to supplier recommendation models

Drive programs that integrate human feedback into AI systems, ensuring transparency, explainability, and trust

Build strong relationships with operations, design, and go-to-market teams to ensure AI-driven innovations translate into real business outcomes

Communicate complex technical concepts simply, securing buy-in across executive, engineering, and commercial teams

Champion a culture of experimentation, where data, user feedback, and model performance insights continuously inform product evolution

5+ years of product management experience in B2B, SaaS, or technology-driven industries

Demonstrated experience developing AI-enabled products or working directly with AI research or data science teams to bring intelligent features to market

Strong analytical and strategic skills — able to balance visionary thinking with operational precision

Expertise in Agile product development, roadmap ownership, and cross-functional execution

Experience managing products that integrate multiple systems (ERP, MES, or supply chain networks)

Proven ability to influence and collaborate across distributed teams and time zones

Experience in manufacturing, supply chain, or complex logistics systems, particularly in quoting, routing, or fulfillment processes

Familiarity with machine learning, computer vision, LLMs, or data analytics frameworks relevant to industrial applications

Working knowledge of one or more manufacturing processes (3D printing, CNC machining, injection molding, sheet metal, etc.)

Background in productizing or operationalizing AI models for commercial use