Product Operations Manager

As a Product Operations Manager, you’ll sit at the heart of how Legora scales its product. You’ll help us turn complexity into clarity by solving stakeholder alignment challenges, enabling cross‑functional collaboration at scale, and ensuring our teams can ship high‑quality AI products — fast and smoothly.

This is a front‑row role at the edge of our product and release engine. You’ll work closely with Product, Engineering, Design, Marketing, Customer Enablement, and Client Support to ensure launches land smoothly, insights flow back into product decisions, and operational friction never slows us down.

You’ll also be hands‑on with AI‑driven problem solving: using modern AI tools, building and defining agents, and designing systems that help teams make better decisions and move faster. If you enjoy connecting dots across teams, designing scalable systems, and being the person who makes complex things work — this role is for you.

What you will be doing:

• Own product operations at scale: create clarity across fast‑moving teams by defining processes, rituals, and tooling that keep Product, Engineering, and Go‑to‑Market aligned as we grow.
• Be the connective tissue between teams: proactively identify stakeholder misalignment, surface trade‑offs, and drive resolution across Product, Engineering, Marketing, Customer Enablement, and Client Support.
• Operate at the front edge of releases: coordinate complex, multi‑track launches; manage timelines, dependencies, and communications; and ensure every release is impactful, predictable, and well‑understood across the company.
• Solve problems with AI: leverage AI tools and analytics to uncover insights, automate workflows, and build or define agents that help teams scale decision‑making, triage issues, and learn faster from customers.
• Translate signal into action: synthesize data, feedback, and operational insights into clear narratives that shape roadmaps, priorities, and product strategy.
• Drive product excellence: partner with Product to define success metrics, track adoption and product health, and recommend improvements grounded in both qualitative and quantitative insights.
• Design scalable systems: build and continuously improve processes for release management, incident handling, feedback loops, and cross‑functional execution.
• Lead through ambiguity: manage high‑severity incidents and escalations, advocate for tech‑debt reduction, and help teams focus on the highest‑impact problems.

What We’re Looking For:

• A strong generalist with 2–6 years of experience, ideally with a background in Computer Science, Business, Data, or similar — and a deep interest in product, systems thinking, and how organizations scale.
• Demonstrated ability to manage complex stakeholder landscapes, influence without authority, and drive alignment across multiple teams.
• Comfort working with data and AI‑powered tools: experience with SQL and analytics platforms.