Technical Product Marketing Manager, AI Solutions, Manufacturing & Robotics

HP Inc.

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Fort Collins, COSpring, TX
Salary
$147,050–$230,850 / yr
Posted
35 days ago
Freshness
Confirmed live yesterday
Closes
Feb 3, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $189k
$136k most similar roles pay here $249k

This role pays less than 62% of similar roles. Most pay $174,375–$238,450 — the shaded band above. At the midpoint, this role pays about $189k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About HP Inc.

HP Inc. is a global technology company that develops and sells personal computers, printers, and related supplies and services. Its products include laptops, desktops, workstations, and printing solutions for consumers and businesses worldwide.

HP Inc. currently has 104 open roles on FindRole.

Listed pay typically runs $130,700–$205,200 across 90 roles with salary data.

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View all roles at HP Inc.

At a glance

TL;DR · Technical Product Marketing Manager, AI Solutions, Manufacturing & Robotics

Role Posting Log in to save

Technical Product Marketing Manager, AI Solutions – Manufacturing & Robotics joins the team to drive go-to-market strategy, sales enablement, and customer engagement for industrial automation and robotics solutions. This role involves translating complex technical capabilities into compelling value propositions while building and demonstrating AI workflows, proof-of-concepts, and technical content like notebooks and scripts. The candidate will develop solution narratives for engineering teams and data scientists regarding infrastructure for on-premises and edge deployments to support real-time robotics, computer vision, and predictive maintenance. Required skills include hands-on coding in Python with familiarity in SQL, JSON, and YAML, alongside experience with Linux, Windows, Docker, Git, and Jupyter Notebooks. The role focuses on solving technical challenges in manufacturing environments by positioning AI training and inference solutions across GPU workstations and edge systems to improve industrial productivity and safety.

Skills

Python SQL JSON YAML Linux Docker Git Jupyter Notebooks APIs AI/ML Computer Vision Edge Computing Digital Twins Predictive Maintenance Robotics Go-to-Market

What you'll do

  • Develop and refine positioning and messaging for AI training and inference solutions tailored to manufacturing and robotics.
  • Translate technical capabilities of GPUs, workstations, and edge systems into customer-focused value propositions.
  • Create marketing assets including solution briefs, case studies, and sales tools addressing industrial requirements like latency and IP protection.
  • Build, configure, and demonstrate AI workflows, proof-of-concepts, and technical demonstrations for manufacturing use cases.
  • Develop sales enablement materials such as playbooks, reference architectures, and competitive positioning talk tracks.
  • Support customer engagement through technical workshops, briefings, and evaluations to drive solution adoption.
  • Conduct market research and competitive analysis to identify trends in industrial AI and robotics automation.

What we're looking for

  • Bachelor's degree in Engineering, Computer Science, Data Science, Information Technology, or a related field.
  • Experience in product marketing, technical marketing, sales engineering, product management, or similar go-to-market roles.
  • Hands-on coding experience with Python and familiarity with SQL, JSON, and YAML.
  • Experience building, modifying, or demonstrating AI applications, workflows, proof-of-concepts, or technical solutions.
  • Experience working with AI/ML workflows, data pipelines, model training, inference environments, and agentic frameworks.
  • Familiarity with Linux, Windows, Docker, Git, Jupyter Notebooks, APIs, and AI development environments.
  • Technical fluency in AI infrastructure, GPUs, workstations, edge computing, and AI software ecosystems.
  • Strong communication skills to translate technical concepts for both technical and business audiences.

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