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Director - AI Product Management (Enterprise Forecasting)

Nextracker

Director - AI Product Management (Enterprise Forecasting)

Nextracker

USA, TX, Austin

·

On-site

·

Full-time

·

1w ago

Job Posting Start Date 02-23-2026 Job Posting End Date 04-20-2026

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.

A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.

Job Summary

Located in Austin TX and Reporting to our VP of Enterprise AI Strategy, we are eagerly looking to hire a Director Enterprise AI Product Management for our Enterprise Forecasting .

The AI Product Manager – Enterprise Forecasting is responsible for shaping, orchestrating, and scaling AI‑powered forecasting capabilities across the enterprise. This role spans the full manufacturing value chain, from customer demand forecasting through supply chain planning, material requirements planning (MRP), factory scheduling and shop‑floor intelligence, and enterprise financial forecasting.

This leader will identify high‑value opportunities to leverage advanced analytics and AI; translate manufacturing, commercial, and operational needs into clear AI product requirements; and drive delivery through close collaboration with business stakeholders, digital & data teams, and the AI Engineering & Lab.

The role emphasizes strategic alignment, roadmap ownership, cross‑functional orchestration, and business value realization.

What a typical day looks like:

  • Develop and own the end‑to‑end AI strategy for enterprise forecasting across Demand, Supply, MRP, Production, and Financials.
  • Build a multi‑year roadmap of AI forecasting products, including value cases, readiness assessments, and sequencing.
  • Translate forecasting and planning challenges into well‑scoped AI use cases, including problem statements, success metrics, data requirements, and deployment pathways.
  • Ensure alignment with enterprise strategy, planning cycles, and digital architecture.
  • Drive design, testing, integration, and scaling of forecasting AI solutions into operational environments and workflows.
  • Coordinate delivery across AI Engineering, Data Science, IT, Data Platform, Operations Technology, and functional SMEs.
  • Ensure the organization is prepared to adopt AI‑driven forecasting tools through clear process design, training, and governance.
  • Communicate progress, risks, and business outcomes to senior leadership.

The skills we are looking to add to our team:

  • 10+ years of experience in product management, AI/ML product ownership, or enterprise forecasting roles.
  • Deep knowledge of forecasting across at least one major domain:

Customer Demand Planning:

  • Supply & Inventory Planning
  • Material Requirements Planning (MRP)
  • Production Scheduling / Factory Planning
  • Financial Forecasting
  • Experience working with data, analytics, and AI‑enabled solutions in manufacturing or supply‑chain‑intensive environments.
  • Proven ability to translate business needs into technical requirements and AI solution designs.
  • Strong leadership, communication, and stakeholder management skills across technical and non‑technical audiences.
  • Experience leading cross‑functional initiatives in large, matrixed organizations.
  • Familiarity with agile and iterative delivery methodologies.

Some of our preferred experiences:

  • Experience deploying AI/ML forecasting models (e.g., time‑series, gradient boosting, deep learning).
  • Understanding of enterprise planning systems (e.g., Onestream, Kinaxis).
  • Background in manufacturing, industrial engineering, supply-chain analytics, or operations research.
  • Experience operationalizing AI solutions into factory systems, planning environments, or financial planning processes.

CA47

SS26

AA01

What you'll receive for the great work you provide:

  • Full range of medical, dental, and vision plans
  • Life Insurance
  • Short-term and Long-term Disability
  • Matching 401(k) Contributions
  • Vacation and Paid Sick Time
  • Tuition Reimbursement

Job Category

Design, Process & Technology Engineering

Is Sponsorship Available?

No

Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

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About Nextracker

Nextracker

Energy technology company.

501-1,000

Employees

Fremont

Headquarters

$2.5B

Valuation

Reviews

4.1

4 reviews

Compensation

3.5

60%

Recommend to a Friend

Pros

Stock performance and market confidence

Competitive compensation packages

Growing solar energy sector opportunity

Cons

Mixed feedback about the company

Limited information available

Uncertainty about company culture

Salary Ranges

42 data points

Mid/L4

Senior/L5

Mid/L4 · Product Manager - Solar Trackers

1 reports

$215,103

total / year

Base

$165,464

Stock

-

Bonus

-

$215,103

$215,103

Interview Experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Live Coding/Technical Interview

5

Onsite/Virtual Interviews

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience