Physical AI Sales and Client Solutions Leader

Accenture

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Atlanta, GAMilwaukee, WIDallas, TXColumbus, OHKirkland, WA
Salary
$132,500–$338,300 / yr
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $235k
$108k most similar roles pay here $363k

This role pays more than 70% of similar roles. Most pay $161,250–$235,750 — the shaded band above. At the midpoint, this role pays about $235k versus about $198k for comparable roles.

Based on 239 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 209 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 178 roles with salary data.

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At a glance

TL;DR · Physical AI Sales and Client Solutions Leader

The Physical AI Sales and Client Solutions Leader joins the team to originate, shape, and close complex transformation opportunities within the Physical AI business. This role involves selling a comprehensive portfolio including digital twins, simulation, robotics intelligence, orchestration, and industrial integration to solve operational problems like throughput, safety, and asset utilization in manufacturing, warehousing, and logistics environments. The successful candidate will manage end-to-end pursuits from qualification through contract signature while coordinating cross-functional teams across data, AI, cloud, cybersecurity, and OT domains. Key technical competencies include experience with computer vision, industrial automation, and edge/cloud systems. Candidates must be adept at building executive relationships and developing business cases that integrate consulting, managed services, and outcome-linked models. The role requires navigating complex ecosystems involving partners like NVIDIA to deliver scalable solutions for asset-intensive industries.

What you'll do

  • Originate, shape, and close complex Physical AI transformation opportunities across various industrial sectors.
  • Develop and execute sales strategies for the full Physical AI portfolio including robotics, digital twins, and managed services.
  • Identify and qualify opportunities based on operational problems like labor constraints, safety, and asset utilization.
  • Build executive relationships to translate business priorities into value-led Physical AI roadmaps.
  • Lead end-to-end pursuit cycles from initial qualification through contract negotiation and delivery transition.
  • Orchestrate cross-functional teams including engineering, data, cloud, and legal experts to deliver technical solutions.
  • Create executive narratives, proposals, and demonstrations that connect Physical AI capabilities to client goals.
  • Develop joint go-to-market motions and co-sell opportunities with ecosystem partners like NVIDIA and industrial software providers.

What we're looking for

  • Must have 8+ years of experience in technology sales, consulting, solutioning, or business development in industrial or engineering-intensive sectors.
  • Proven track record of originating and closing complex transformation or technology-services engagements involving multi-stakeholder pursuits.
  • Must possess working knowledge across at least three Physical AI domains such as digital twins, robotics, automation, or managed operations.
  • Experience engaging executive buyers and translating business problems into value cases, solution scopes, and executable roadmaps is required.
  • Ability to lead cross-functional pursuit teams through proposal development, commercial shaping, negotiation, and contracting.
  • Must be able to communicate credibly with business, engineering, IT, OT, and ecosystem stakeholders.
  • Understanding of industrial operating environments in manufacturing, warehousing, logistics, or other asset-intensive sectors is required.
  • Bachelor's degree required, or an associate degree with at least 6 years of experience, or 12 years of experience without a degree.

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