Block Labs - Technical Product Manager
Requirements
• Manage the AI Backlog: Prioritize features and agentic capabilities based on business ROI, technical readiness and company’s objectives. • Manage the AI Backlog: • Define Success Criteria: Establish clear, measurable KPIs for agent accuracy, resolution rates, and operational performance. • Define Success Criteria: • Orchestrate Delivery: Work directly with AI and Data developers to bring your process maps to life. Your job is to define the "What" and "Why"—their job is the "How." • Orchestrate Delivery: • Iterative Refinement: Use full-trace observability to identify where logic breaks or where additional signals are needed, constantly iterating on agent performance. • Iterative Refinement: • 3+ years in Technical Product Management, ideally with a background in Software Engineering. • 3+ years in Technical Product Management • Software Engineering • Experience shipping agentic AI products: You have put autonomous agents into production that handled real workflows and drove measurable business outcomes. • Experience shipping agentic AI products: • Data Fluency: Deep understanding of data triggers across multiple sources; ability to define the "digested" signals required for high-stakes decision engines. • Data Fluency: • Logic-First Mindset: Demonstrated ability to map out complex decision trees and identify the exact context needed to automate them from end-to-end. • Logic-First Mindset: • Technical Leadership: Experience working directly with AI/ML, Data Engineering, and Backend teams to ship logic-heavy, production-grade products. • Technical Leadership: • Agentic Frameworks: Familiarity with agentic AI patterns and tooling (e.g., LLM agents, tool use, LangChain, OpenAI functions, memory systems) • Agentic Frameworks: • Preferred: • iGaming / Casino Experience: Understanding of operator workflows and common friction points is a significant plus. • Experience in a B2B or White-Label environment, managing stakeholder requirements from external tenants. • B2B or White-Label • What kind of culture can I expect?Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here. • What kind of culture can I expect?
Responsibilities
• Map Decision Paths: Work alongside other PMs to define the logical requirements an agent needs to resolve an issue, escalate it, or trigger a secondary process. • Gather Signal Requirements: Collaborate with product teams to identify high-value use cases. You will rigorously collect and document definitions, required latency, and source systems for all data signals. • Manage the AI Backlog: Prioritize features and agentic capabilities based on business ROI, technical readiness and company’s objectives. • Define Success Criteria: Establish clear, measurable KPIs for agent accuracy, resolution rates, and operational performance. • Orchestrate Delivery: Work directly with AI and Data developers to bring your process maps to life. Your job is to define the "What" and "Why"—their job is the "How." • Iterative Refinement: Use full-trace observability to identify where logic breaks or where additional signals are needed, constantly iterating on agent performance.
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