Product Operations Lead – AI-Enabled Launch & Metrics

Peregrine; San Francisco (CA); On-site; USD 125,000 - 175,000; Full time

Job summary

Peregrine is expanding its product organization and seeking a Product Operations professional to define the operating model, metrics, and cadence that enable rapid, confident execution across product teams. This role collaborates with Product, Engineering, Data Science, and Sales Enablement to improve how work is planned, launched, and measured.

You will own dashboards, drive post-launch retrospectives, and help build scalable processes and playbooks to reduce tribal knowledge, improve

Qualifications

• 3-5 years in product operations, business operations, strategy & analytics, statistics, or a PM-adjacent role in enterprise SaaS.
• Strong analytical skills - comfortable in Python, SQL, Amplitude, or similar tools; you can build a dashboard and also interrogate whether it’s measuring the right thing.
• AI-forward thinking - how do you leverage the latest AI tools to automate and scale yourself and your workflows.
• Experience coordinating cross-functional launches or programs with multiple stakeholders.
• Clear, concise written communication - you write docs that people actually read and are strong at synthesizing data and trends.
• Comfort with ambiguity; able to identify what structure is missing and create it without waiting to be asked.

Responsibilities

• Define the operating model for how Product operates, including metrics, instrumentation, and cadence.
• Own the data and dashboards behind planning cycles and reviews.
• Coordinate betas, launches, and rollout readiness with cross-functional teams.
• Build PM playbooks and maintain operational rhythms (OKR tracking, tooling hygiene).

Skills

Product operations

Analytics

Python

SQL

Ample/Datadog

Tools

Amplitude

Datadog

Job description

Peregrine is expanding its product organization and seeking a Product Operations professional to define the operating model, metrics, and cadence that enable rapid, confident execution across product teams. This role collaborates with Product, Engineering, Data Science, and Sales Enablement to improve how work is planned, launched, and measured.

You will own dashboards, drive post-launch retrospectives, and help build scalable processes and playbooks to reduce tribal knowledge, improve