AVAILABLE FOR EXECUTIVE GTM LEADERSHIP
Physical AI & Industrial IoT GTM Leader with 18+ years architecting revenue at the intersection of Agentic AI, OT/IT convergence, and Industry 4.0 — from the factory floor to the boardroom.
▶ Available for VP GTM • SVP Revenue • CRO roles in Physical AI & Industrial IoT
View My Work ↓ Download Resume
AGENTIC AI OT/IT CONVERGENCE INDUSTRY 4.0 PREDICTIVE OPERATIONS CYBER-PHYSICAL RESILIENCE INDUSTRIAL AUTONOMY IIOT REVENUE ARCHITECTURE
$40M+
ARR Driven Across Physical AI Programs
137%
Peak Quota Attainment
18
Person GTM Teams Built From Zero
12
Enterprise Manufacturing Accounts
6
Fortune 500 Strategic Partnerships
3x
YoY Pipeline Expansion Achieved
A Career Built at the Intersection of Steel and Silicon.
Before Physical AI had a name, I was doing it. My earliest enterprise work put me inside OT environments — plant floors, SCADA systems, DCS architectures — long before the industry consensus that AI could operate reliably in the physical world. That early exposure gave me something most GTM leaders in this space simply don't have: genuine OT fluency.
The through-line of my career has always been the same problem: brilliant industrial technology with no commercial story. Engineers who could build systems that predict equipment failure, optimize energy consumption, or autonomously adjust production parameters — but couldn't translate that capability into a narrative that moved a VP of Operations or a CFO to sign. Bridging that gap is my superpower.
Today I operate at the exact convergence of Agentic AI, Industrial IoT, and OT/IT infrastructure — building the GTM architectures, category narratives, partner ecosystems, and sales motions that transform Physical AI platforms into scalable revenue engines. I'm looking for my next stage: a VP GTM, SVP Revenue, or CRO seat at a company building the industrial AI infrastructure of the next decade.
CURRENT FOCUS
Exploring executive GTM leadership opportunities at Physical AI, industrial autonomy, and edge intelligence companies — Series B to post-IPO, with a physical-world AI focus.
CORE THESIS
Most Physical AI companies fail at commercialization because they hire SaaS GTM leaders who don't understand OT environments. The winners will be led by executives who can speak both languages fluently.
WHAT I'M THINKING ABOUT
Agentic AI moving from pilot to production in industrial environments. The cyber-physical resilience imperative reaching board level. Why the OT/IT convergence window is closing faster than most realize.
CONNECT
West Islip, NY · Myunas80@outlook.com · linkedin.com/in/muhammadyunas
Six Pillars of Industrial GTM Leadership.
⚙️
Building end-to-end go-to-market strategies for Physical AI platforms — ICP definition, category narrative, sales motion design, and revenue architecture from zero to scale in industrial markets.
🔗
Bridging the historic divide between Operational Technology and Information Technology — building narratives and commercial motions that resonate with both plant floor OT buyers and enterprise IT decision-makers.
🤖
Translating Agentic AI capabilities — autonomous inspection, predictive operations, real-time process optimization — into ROI frameworks and commercial narratives that drive enterprise industrial buying decisions.
🏭
Designing and executing IIoT revenue programs across manufacturing, energy, and oil & gas — from first POC through full platform deployment and partner-sourced pipeline expansion.
🛡️
Elevating OT security and AI reliability into board-level conversations — creating the 'cyber-physical resilience' narrative that unlocks CISO access, increases deal size, and differentiates from pure analytics vendors.
🚀
Establishing new Physical AI and Industrial IoT categories through narrative architecture, partner ecosystem development (SIs, OEMs, hyperscaler co-sell), and industry analyst engagement.
TARGET VERTICALS
🏭 Discrete Manufacturing
⚡ Energy & Power Gen
🛢️ Oil & Gas (Upstream)
🚗 Automotive Tier 1
🏗️ Smart Factory Automation
📦 Logistics & Supply Chain
Before-and-After. Not Job Descriptions.
2026 — PRESENT: VP, GTM Strategy & Revenue – Physical AI Division
Open to Opportunities · Executive Exploration Phase
Leading end-to-end GTM architecture for a Physical AI platform targeting industrial, energy, and manufacturing sectors. Designing category entry strategy integrating Agentic AI agents, edge inference, and OT/IT convergence into a unified commercial motion.
2023 — 2026: Senior Director, GTM & Revenue Strategy – Industrial IoT
Previous Executive Role · Industrial Technology
Inherited an unstructured GTM motion with inconsistent quota attainment and undefined ICP. Rebuilt the entire commercial architecture around Physical AI and OT/IT convergence, achieving $40M+ ARR growth in 30 months.
2020 — 2023: Director of Sales Engineering & Solutions – Edge AI
Previous Role · Edge Intelligence & Industrial AI
Led the technical commercial arm of an Edge AI platform targeting industrial automation and smart factory segments. Built ROI frameworks and solution architectures that translated complex AI capabilities into plant floor buying decisions.
2017 — 2020: GTM Manager – Industrial IoT & Connected Operations
Earlier Role · Industrial IoT Platform
Launched an IoT platform from zero commercial traction into discrete manufacturing and oil & gas verticals. Built the foundational GTM motion — ICP, messaging, partner program, and sales playbook — that the organization scaled for years after.
From $0 to $40M ARR: Winning the OT/IT Convergence Market.
THE CHALLENGE — A strong product. A broken GTM.
Inherited a Physical AI and Industrial IoT platform with strong engineering depth but zero commercial traction. The ICP was undefined, the sales team lacked OT fluency, there was no category narrative, and the partner ecosystem was nonexistent. Quota attainment was below 60%.
01 Redefined the ICP
Narrowed to discrete manufacturing and upstream energy. Plant size: 500+ employees, existing SCADA/DCS. Mapped OT Sponsor + IT Champion + Economic Buyer for every deal.
02 Built the Category Narrative
Abandoned 'IIoT platform' — too commoditized. Introduced 'Physical AI Operations' with a core message: 'Your operations generate more data than your team can process. We turn that data into autonomous action.'
03 Redesigned the Sales Motion
Implemented 3-stage motion: OT Discovery -> Digital Twin POC -> Full Platform Deployment. OT Discovery led by SEs with OT backgrounds. 60-day POC with defined success metrics tied to downtime or energy savings.
04 Built the Partner Ecosystem
Prioritized SIs with OT DNA. Integrated with 2 major PLC/SCADA vendors. Established AWS and Azure co-sell programs. Partner-sourced revenue grew from 0% to 35% of ARR.
05 Added Cyber-Physical Resilience Layer
Created board-level deck on OT security risk — unlocked CISO conversations, elevated deal size by an average of 40%, and differentiated from pure analytics vendors.
Every metric improved. The GTM rebuild didn't just fix quota attainment — it established a repeatable, scalable commercial engine that the organization could grow on for years.
$40M+
ARR in 30 Months
137%
Peak Quota Attainment
14→6
Month Cycle Reduction
35%
Partner-Sourced ARR
"Physical AI is not sold — it is adopted. The GTM leader's job is to reduce the distance between a plant manager's instinct and an AI platform's capability. When that gap closes, the revenue follows."
— Muhammad Yunas
Ideas I'm Publishing & Defending.
Silicon Meets Steel: Why Physical AI Is the Next $500B Industrial Category
The convergence of Agentic AI, Industrial IoT, and OT/IT infrastructure is reshaping global manufacturing, energy, and operations. The GTM leaders who understand both worlds will define the winners.
The Industrial Autonomy Imperative: A Board-Level GTM Memo
A formal strategic memo outlining market context, competitive landscape, 5 GTM imperatives, and resource implications for Physical AI category leadership in 2026–2027.
GTM Playbook: $0 to $40M ARR in the OT/IT Convergence Market
A detailed practitioner case study documenting ICP redefinition, category narrative architecture, sales motion redesign, partner ecosystem development, and measurable results across 30 months.
📍 WHAT I'M THINKING ABOUT RIGHT NOW
Agentic AI moving from pilot to production in industrial environments is the defining GTM challenge of 2026. Most enterprise buyers understand the concept — very few have a clear path from POC to operating at scale across a plant floor. The companies that solve this with a structured, OT-first commercial motion will own the category.
Alongside that, the cyber-physical resilience conversation has reached board level — and most Physical AI vendors are still treating it as a technical footnote. That's a massive GTM opening for any company willing to lead with resilience alongside autonomy.
And finally, the OT/IT convergence window is closing faster than most realize. The industrial buyers who are actively evaluating Physical AI platforms today will make consolidation decisions in the next 18–24 months. The companies that build GTM leadership now will be the ones writing the category definition. The rest will be integrators in someone else's ecosystem.
Strategic Range. Not a Tag Cloud.
GTM & REVENUE
TECHNOLOGY DOMAIN
LEADERSHIP & EXECUTION
PLATFORMS & ECOSYSTEMS
Ready for a 90-Second Conversation?
I'm available for VP GTM, SVP Revenue, and CRO conversations at high-growth Physical AI, industrial autonomy, and Industrial IoT companies. If you're building the industrial AI infrastructure of the next decade — I want to talk.
Email Me Directly → LinkedIn Profile
✉ Myunas80@outlook.com 🔗 linkedin.com/in/muhammadyunas 📄 Download Resume
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© 2026 Muhammad Yunas · Physical AI & Industrial IoT GTM Leader · West Islip, NY
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