- Company Name
- DeepL
- Job Title
- Senior Technical Product Manager | AI Systems
- Job Description
-
**Job Title**
Senior Technical Product Manager – AI Systems
**Role Summary**
Lead product strategy and technical roadmap for deploying and optimizing large language models (LLMs) used across the company's suite of AI products. Drive the entire product lifecycle—from discovery, concept, and development to launch and continuous improvement—while collaborating closely with engineering, research, and business stakeholders to deliver measurable value at global scale.
**Expactations**
- 5+ years of product management experience in technology, with proven ownership of products delivered to large, international user bases.
- Strong technical foundation (computer science or equivalent) and hands‑on software or research experience in AI/ML environments.
- Demonstrated ability to manage cross‑functional teams, prioritize initiatives, and translate complex technical concepts into clear, data‑driven strategies.
- Analytical mindset: comfortable building, tracking, and evolving metrics/KPIs to validate hypotheses and demonstrate impact.
**Key Responsibilities**
- Define mission, strategy, and roadmap for efficient LLM deployment across GPU infrastructure.
- Translate business and user requirements into development plans that maximize impact.
- Own full product lifecycle: discovery, hypothesis formation, prioritization, execution, launch, and iteration.
- Establish and track KPIs, validate assumptions pre‑ and post‑implementation, and report results to stakeholders.
- Identify feature opportunities and new product ideas leveraging global user data and scale.
- Lead cross‑functional collaboration, ensuring alignment between product, engineering, and research teams.
- Communicate strategy, insights, and technical concepts to varied audiences using data‑driven storytelling.
**Required Skills**
- Product management in a technical, AI‑focused environment.
- Deep understanding of LLMs, model lifecycle, and GPU‑based production systems.
- Experience with data‑driven decision making, metric definition, and analytics.
- Strong written and verbal communication; ability to tailor messages to technical and non‑technical stakeholders.
- Leadership and mentoring of product teams; ability to drive consensus and maintain momentum.
- Problem‑solving skills that decompose large challenges into actionable, measurable steps.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent practical experience).
- No specific certifications required, but experience with AI/ML platforms, data analytics tools, or product management frameworks (e.g., Scrum, Lean) is a plus.