Product Operations Manager

Hatch is a company that builds AI Customer Service Representatives for business communications. They are seeking a Product Operations Manager to facilitate collaboration between Product, Engineering, and other teams, focusing on optimizing product development processes and analytics infrastructure.

Responsibilities:

• Own the end-to-end release process: coordination, communication, and rollout tracking
• Manage feature flagging workflows and ensure clean, predictable deployments
• Create visibility into what's shipping, when, and to whom—internally and externally
• Own and improve our analytics infrastructure to surface actionable usage data
• Partner with PMs to define metrics, instrument features, and track adoption
• Build dashboards and reporting that drive prioritization and measure impact
• Maintain internal product documentation so teams always have current, accurate information
• Coordinate updates to external help centers and release notes
• Explore automation opportunities to reduce manual documentation overhead
• Standardize and streamline product team workflows
• Manage the product tech stack—evaluate, implement, and drive adoption of tools
• Identify opportunities to automate repetitive work and improve team efficiency
• Build and maintain AI-powered workflows that accelerate product team productivity
• Develop custom skills, prompts, and tooling (e.g., Claude Code, internal AI assistants) to automate repetitive tasks
• Champion AI adoption across Product and identify high-impact use cases for automation

Requirements:

• 3+ years in Product Operations, Program Management, or a similar role at a B2B SaaS company
• Experience managing release processes, feature flags, or deployment coordination
• Strong analytics skills—comfortable with tools like PostHog, Amplitude, Mixpanel, or similar
• Proven ability to build and improve processes from scratch
• Excellent documentation and communication skills; you make complex things clear
• Bias toward automation; you'd rather build a system than do something manually twice
• Enthusiasm for AI tools and a willingness to experiment with new ways of working
• Hands-on experience with AI coding assistants (Claude Code, Cursor, GitHub Copilot) or building custom AI workflows
• Experience with LaunchDarkly or similar feature management platforms
• Familiarity with Notion, Confluence, or similar knowledge management tools
• Background in AI/ML products or fast-moving product environments