Senior AI Agent Product Manager for Enterprise Platforms

Weekday Inc; Polska; Hybrid; PLN 589,000 - 746,000; Full time

Job summary

Weekday Inc. is seeking a Senior Product Manager (AI) to lead the strategy and execution of our AI product portfolio. You will shape how AI agents identify, investigate, and resolve enterprise data incidents, including the context they access and when human intervention is required.

You will drive context management, incident detection, triage, and integrations with popular tools like Teams, Slack, ServiceNow, and Jira, blending product leadership with hands-on AI engineering expertise.

Qualifications

• 3+ years in product management for technically complex products (AI/ML).
• Hands-on with LLMs, shipping production AI features and agent workflows.
• Strong understanding of foundation models, costs, latency and quality trade-offs.
• Experience with agent architecture patterns: tool calling, retrieval, orchestration, guardrails.

Responsibilities

• Own AI product strategy, roadmap, and prioritisation across agent ecosystems.
• Evaluate feasibility, limitations, failure modes, and long-term maintainability of features.
• Define autonomy boundaries and scale trusted automation with human oversight.
• Translate requirements into PRDs and actionable specs for engineering teams.
• Collaborate with engineering to design, develop, and launch production-ready AI agents.
• Establish quality standards across accuracy, latency, cost, observability, security.

Skills

Product management

LLMs

Agent architectures

Context engineering

Non-deterministic AI evaluation

Education

Bachelor's degree in CS/DS/Engineering

Tools

Microsoft Teams

Slack

ServiceNow

Jira

Job description

Weekday Inc. is seeking a Senior Product Manager (AI) to lead the strategy and execution of our AI product portfolio. You will shape how AI agents identify, investigate, and resolve enterprise data incidents, including the context they access and when human intervention is required.

You will drive context management, incident detection, triage, and integrations with popular tools like Teams, Slack, ServiceNow, and Jira, blending product leadership with hands-on AI engineering expertise.