Product Manager - AI Agent Orchestrator

Search Atlas

4h

About The Position

Search Atlas is seeking an AI-native Product Manager to lead core verticals within their Phase 2 Super-Cells. This unique role involves working directly with the Founder to architect the future of SEO software, with a focus on shipping executable intent rather than traditional feature factory models. The primary deliverables will be working prototypes and Merge Requests, leveraging generative coding agents to turn requirements into production-ready features. The company is a fast-growing leader in SEO & AI automation, providing industry-leading capabilities across various platforms like OTTO SEO, Content Genius, Site Explorer, BrandVault, GBP Galactic, Smart Ads, LLM Visibility, and AI Search analytics. They emphasize rapid innovation, aggressive execution, and engineering-level rigor, fostering a collaborative, excellence-driven, self-starter, innovative, and student-mentality culture.

Requirements

• 5+ years as a Technical PM in SaaS with a heavy focus on AI/LLM orchestration.
• Mastery of SQL (complex queries) and Python (data analysis/scripting) is mandatory.
• Proven ability to build products and prototypes using Claude Code, Cursor, or similar agent frameworks.
• Deep comfort with GitLab workflows, CI/CD pipelines, and branching strategies.
• Ability to write "executable intent" and test cases rather than just business requirements.

Responsibilities

• Define Executable Intent: Craft the goals, constraints, and project context required for AI agents to autonomously turn requirements into production-ready features.
• Orchestrate Delivery: Use Claude Cowork, Claude Code, and Cursor to generate functional prototypes and interactive dashboards rather than static specs.
• Lead Super-Cells: Own the end-to-end vision for one major product pod, managing release workflows directly inside GitLab.
• Synthesize Signals: Leverage agentic tools to process months of customer feedback and support tickets to identify the next high-value product move.
• Deep Analysis: Analyze massive SEO and performance datasets using SQL and Python.
• Evaluation Frameworks: Build structured prompts and benchmarks to validate LLM-generated insights for accuracy and reliability.
• Visual Prototyping: Transform complex data into insight-dense interfaces using Figma, Figma Make, or Lovable.
• Radical Reliability: QA every feature in staging to ensure UX coherence and data integrity, driving rapid iteration cycles.

Benefits

• 15 Days Paid Time Off
• Christmas Day Paid Off
• New Year's Day Paid Off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 11-50 employees