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Est. Monthly
Estimated €2,988 - €3,441
Posted August 20, 2026 · 3 days agoLast seen August 23, 2026Deadline August 20, 2027

Technical Program Manager

Senior Technical Program Manager (TPM) – GenAI
Helsinki, Finland
Hybrid (Helsinki office) · Technology
Full-time · Senior
English
No People Management
How this salary compares
Salary Context: Technical Program Manager

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("In Helsinki, Finland: Technical Program Manager"), this listing's salary midpoint is about 97% lower. The offer sits below the benchmark range (€8,167–€8,333). The listed pay band (€249–€287) is wider than the benchmark, which suggests greater salary variability. This benchmark is based on 1 comparable listings.

Monthly salary comparison for Technical Program Manager
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Technical Program Manager€8,167/per month€8,250/per month€8,333/per month
In Helsinki, Finland: Technical Program Manager€8,167/per month€8,250/per month€8,333/per month
Pay in our data — not quoted in ad (Senior)€249/per month€268/per month€287/per month
About the role

Role Overview We are seeking a Senior Technical Program Manager (TPM) to lead forward-deployed Generative AI programs with AMD's most strategic customers. This is a customer-facing technical leadership role that sits at the intersection of frontier AI research, production-grade GenAI systems, and large-scale GPU deployments. In this role, you will partner closely with forward-deployed engineers (FDEs), internal engineering teams, and customer stakeholders to ensure that state-of-the-art open-source and closed-source GenAI models, including text and multimodal systems, run efficiently, reliably, and cost-effectively on AMD GPU platforms. You will act as the technical program lead for complex GenAI performance and enablement programs, translating customer needs into executable technical roadmaps while driving outcomes that directly impact customer success, platform adoption, and GPU scale-out. This role supports global customers and teams and may require occasional collaboration outside standard local hours, balanced with flexibility and autonomy in how work is scheduled. Key Responsibilities Lead end-to-end delivery of forward-deployed GenAI programs with AMD's most strategic customers, from onboarding through production readiness and large-scale GPU deployment. Serve as the technical program lead for GenAI performance, scalability, and enablement initiatives, driving outcomes across software frameworks, model architectures, and AMD GPU platforms. Drive GenAI performance optimization efforts focused on latency, throughput, concurrency, and cost efficiency for interactive and real-time workloads (e.g., chat, agents, reasoning systems). Collaborate closely with inference and training framework teams (e.g., vLLM, SGLang, emerging GenAI stacks), partnering with engineering teams to drive model and framework-level optimizations upstream. Translate customer requirements into executable technical roadmaps, defining clear milestones, dependencies, risks, and success metrics tied to measurable performance impact. Act as a key interface between customers and AMD engineering, product, and business teams, ensuring alignment and momentum across fast-moving, cross-functional environments. Communicate technical trade-offs, risks, and program health with clarity and credibility to senior engineers, customer executives, and AMD leadership. Incorporate learnings from customer engagements into product and engineering roadmaps, influencing platform direction and accelerating GenAI adoption at scale. Preferred Experience Experience leading complex, cross-functional technical programs, with exposure to machine learning, AI, or Generative AI systems. Experience delivering medium-to-large-scale AI programs involving multiple stakeholders and complex technical dependencies. Strong understanding of GenAI inference and performance optimization, including latency, throughput, concurrency, and cost-efficiency trade-offs. Experience working at the framework and system level, with exposure to modern GenAI stacks such as PyTorch, inference servers, and serving frameworks (e.g., vLLM, SGLang, or similar). Ability to reason across the full GenAI stack, from model architecture to framework behavior to GPU-accelerated infrastructure, and translate that understanding into execution plans. Strong technical communication skills, with experience engaging senior engineers, customer executives, and internal leadership on technical trade-offs and program status. Experience operating in fast-moving, evolving global environments, balancing speed, quality, and scale while maintaining execution excellence. Attributes Demonstrates ownership, initiative, and a proactive approach in a global environment. Comfortable navigating ambiguity, learning quickly, and driving progress in complex technical domains. Adaptable and curious, with an interest in rapidly evolving GenAI technologies. Collaborative and relationship-focused, with a commitment to building successful outcomes with customers, partners, and teammates. Clear and effective communicator, able to engage both technical audiences and senior business stakeholders. Don’t meet every qualification? We encourage you to apply. We value diverse perspectives, backgrounds, and experiences, and we’re committed to creating an inclusive environment where everyone can thrive. Additional recommendation: replace 10+ years of experience with experience leading complex, cross-functional technical programs. Benefits AMD benefits at a glance. This posting is for an existing vacancy.

Job Details

Responsibilities

  • Lead end-to-end delivery of forward-deployed GenAI programs with AMD's most strategic customers, from onboarding through production readiness and large-scale GPU deployment.
  • Serve as the technical program lead for GenAI performance, scalability, and enablement initiatives, driving outcomes across software frameworks, model architectures, and AMD GPU platforms.
  • Drive GenAI performance optimization efforts focused on latency, throughput, concurrency, and cost efficiency for interactive and real-time workloads.
  • Collaborate closely with inference and training framework teams (e.g., vLLM, SGLang, emerging GenAI stacks), partnering with engineering teams to drive model and framework-level optimizations upstream.
  • Translate customer requirements into executable technical roadmaps, defining milestones, dependencies, risks, and success metrics tied to measurable performance impact.
  • Act as a key interface between customers and AMD engineering, product, and business teams, ensuring alignment and momentum across fast-moving, cross-functional environments.
  • Communicate technical trade-offs, risks, and program health with clarity and credibility to senior engineers, customer executives, and AMD leadership.
  • Incorporate learnings from customer engagements into product and engineering roadmaps, influencing platform direction and accelerating GenAI adoption at scale.

Requirements

  • Experience leading complex, cross-functional technical programs

Skills & Technologies

PyTorchinference serversserving frameworksGenAI stacks
Seen 15 hours agoPartial Schema
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