Gökhan Adamhanoglu — M.Eng. and MBA. Translating complex industrial products, IoT platforms, and AI ambitions into commercial outcomes.
Turning complex engineering capabilities into scalable, market-ready SaaS and hardware products with validated commercial models.
Scaling engineering teams, optimizing product-market fit, and managing complex stakeholder environments — backed by an M.Eng. and MBA dual foundation.
Pragmatic AI strategy combined with EU AI Act risk classification, evaluation frameworks, and LLM integration patterns that hold up to regulatory scrutiny.
Bridging the gap between legacy industrial machinery and modern cloud architectures — turning fleets of physical assets into connected, data-rich platforms.
Prioritized by strategic fit and depth of impact.
CPO / VP Product / Managing Director / CEO
Driving product vision, strategy, and full P&L responsibility across Industrial Tech, B2B SaaS, and machinery-adjacent ventures.
Head of DX / Director of Product
Leading enterprise modernization, IoT platform strategy, and scaling engineering capabilities.
Senior AI PM / Senior PM
Hands-on execution for complex portfolios, focusing strictly on AI/ML-ready manufacturing and B2B SaaS.
Deeply embedded engagements (3–4 days per week) collaborating with senior leadership to modernize product, AI, or commercial models.
High-impact, selective engagements — e.g., EU AI Act compliance assessments, pricing model design, Joint Venture integration — executed over 4–16 weeks.
Advising on AI product modernization and MLOps for an NLP-powered RFP automation SaaS. Defining the AI product roadmap — LLM integration patterns, knowledge-base architecture, evaluation framework — and supporting EU AI Act compliance preparation.
Full P&L, board reporting, SaaS governance, and IP licensing for an industrial SaaS joint venture in the machinery manufacturing sector. Led a 10-person cross-functional team across product, engineering, and commercial; designed JV operating model and led strategic re-integration into the parent group in 2025.
Group-level product owner for the digital and controls portfolio across US, European, and Asian subsidiaries. Designed hybrid CAPEX/OPEX commercial models validated by ROI, NPV, and TCO business cases. Introduced 'Digital First' principles and agile delivery across machinery automation lines.
Process digitalisation and standardisation across group production lines. Led group-wide ISO 9001 certification project; defined P&ID standards compliant with EN 81346-2 and EN 62424; contributed to digital twin modelling of industrial processes.
Mechanical engineering foundation in B2B industrial component design for wind power and machinery sectors. Owned full lifecycle from CAD through testing and release.
I help industrial, IoT, and B2B SaaS organizations translate complex products and AI ambitions into commercial outcomes. My work combines product strategy, executive operating experience, and a recent academic and certification grounding in AI governance.
Most recently Managing Director of an industrial SaaS joint venture in the machinery manufacturing sector — owning full P&L, IP licensing, SaaS governance, and category partnerships. Academic foundation in mechanical and mechatronic engineering, complemented by an MBA (FOM, 2024) and ongoing DEKRA AI Manager / AI Officer certification (expected June 2026).
Microsoft Project, Teams, Notion, Lark, Slack, GitHub · Agile / Scrum · OKRs
SAP, AMS ERP, Microsoft 365, Google Workspace, Visual Paradigm
LLM APIs (OpenAI, Anthropic), prompt engineering, EU AI Act, working knowledge of MLOps
“A product leader with 13+ years bridging deep industrial engineering and commercial software — appointed by the parent group to commercialize the digital portfolio.”
Whether you're hiring a product executive, exploring an embedded fractional engagement, or scoping AI governance work — the first step is a conversation.
DACH Region, based in Germany · Remote Worldwide · Open to relocation