TL;DR

Value Engineer (AI): Guiding enterprise customers from initial conversations to sustained success, focusing on AI use cases that align with both business and technical objectives. Focus on AI risk management, ensuring data readiness, feasibility, evaluation rigor, adoption, and value realization to drive successful customer outcomes.

Location: Germany

Company

%hirify_global% helps companies build, operate, and scale custom AI systems.

What you will do

Lead early discovery to understand customer goals, challenges, KPIs, and key stakeholders.
Translate customer needs into clear technical and business solutions, building demos/POCs to prove value.
Drive the plan to "first value," identifying and executing iterations without losing sight of key metrics.
Track usage, performance, and business outcomes, running check-ins/QBRs to help customers fully adopt the solution.
Spot expansion opportunities based on usage, pain points, and roadmap fit, partnering with Sales to build value cases and support forecasting.
Bring structured feedback to Product and Engineering to support roadmap efforts, maintaining accurate CRM and customer plans.

Requirements

8+ years in Sales Engineering, Consulting/Implementation, or Customer Success for enterprise software.
Practical Python skills for scripting and troubleshooting.
Experience with AI/ML workflows, including fine-tuning, data preparation, and model evaluation.
Strong understanding of modern architectures such as APIs, integrations, and IAM/security.
Ability to get hands-on with data, SQL, and light integrations.
Strong project leadership and communication skills, including executive-level storytelling.