Deutsche Telekom Digital Labs
Website:
dtdl.in
Job details:
AI Product Manager (4+ years)
- Defines a clear vision and roadmap for AI features or products, ensuring they address real user problems and deliver tangible business outcomes—not merely model deployment.
- Strong AI/ML literacy, including understanding of model types, training vs. inference, data quality considerations, limitations, and explainability to drive informed trade-offs.
- Data and metrics fluency, including knowledge of data sources, labelling processes, evaluation metrics (accuracy, precision/recall, hallucination rates), and clear linkage to product KPIs.
- Works closely with legal and privacy teams to manage bias, safety, and compliance, and designs fallback experiences when AI outputs are uncertain or incorrect.
PM CORE
Tech Decision-Making
Evaluates tech options using cost, risk and timeline criteria; can challenge engineering proposals with informed questions; understands API and data trade-offs
Product Craft & Specs
Produces clear HLD with architecture context; writes LLD with data flows and edge cases; contributes to product strategy discussions with business cases
Analytics & Data-Driven Decisions
Defines success metrics for features; writes basic SQL or uses BI tools; runs simple A/B test analysis
Delivery & Stakeholders
Manages backlog independently; runs sprint planning and retros; manages expectations across 2–3 stakeholder groups; prepares exec-ready updates
OKRs & Roadmap
Writes squad-level OKRs with measurable key results; maintains quarterly roadmap; partners with designers on user flows; translates research into requirements
AI PRODUCT SKILLS
AI-Assisted Product Craft
Uses SpecKit to generate PRDs and specs with editing; builds clickable prototypes using Figma or AI design tools; creates compelling demo scripts
AI Tools & Prototyping
Uses Cursor/Claude Code to build simple UI prototypes; evaluates AI tools for squad needs; writes basic prompts with system instructions and examples
Agent & AI Design Literacy
Writes product requirements for agent features; makes informed choices between AI interaction patterns; understands latency and hallucination trade-offs
Prompt Engineering
Designs structured prompts with system instructions, examples and guardrails; tests across edge cases; implements function-calling and JSON mode
AI ADVANCED
Evals & Model Quality
Defines eval criteria for product features (accuracy, latency, safety); works with engineers to build eval datasets; reviews eval results
AI Model & Cost Literacy
Tracks model costs per feature; makes model-tier decisions based on use case; defines fine-tuning objectives and success criteria with engineers
AI Architecture & Governance
Writes requirements for RAG and multi-agent systems; implements safety guardrails in product specs; conducts basic red-teaming; ensures data compliance
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