Product Operations Lead

Peregrine Technologies

• $110K — $130K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years in product operations or a related field in enterprise SaaS
  • Strong analytical skills with proficiency in Python, SQL, or Amplitude
  • AI-forward thinking for leveraging automated workflows
  • Experience coordinating cross-functional launches
  • Exceptional written communication skills
  • Ability to thrive in ambiguous situations and create structure independently

Responsibilities

  • Curate and maintain core product metrics library
  • Own data and dashboards for Monthly Business Reviews
  • Validate metric correctness for new feature releases
  • Drive operational plans for betas and product launches
  • Maintain shared view of launch status and early success signals
  • Run post-launch retrospectives to create insights for PM team
  • Maintain PM team’s operational rhythm and documentation playbooks

Benefits

  • High-ownership and high-visibility role
  • Opportunity to shape operational processes in a scaling organization
  • Collaborate closely with cross-functional teams
  • Engage in meaningful analytical work
  • Impact product operations and organizational efficiency
Full Job Description
Role

As Peregrine's Product organization scales, we're investing in our first dedicated Product Operations hire. This role will help define how Product operates-from how we measure success, to how we launch features, to how we continuously improve the way we work.

You'll partner closely with Product Managers, Engineering, Design, Data Science, Customer Delivery, Sales Enablement, and Training to build the systems, metrics, and operational rhythms that allow the team to move faster with greater confidence. Rather than owning a product roadmap yourself, you'll own the operating model that enables every roadmap to be executed more effectively.

This is a high-ownership, high-visibility role for someone who enjoys bringing structure to ambiguity, loves solving operational problems, and wants to help shape how a growing product organization scales.
What You'll Own
Metrics & Reporting
  • Curate and maintain Peregrine's core product metrics library - definitions, owners, and calculation logic
  • Own the data and dashboards behind Monthly Business Reviews and quarterly/annual planning cycles
  • Validate metric correctness as new features ship; add instrumentation directly or work with engineers to add
  • Work across a toolset including Amplitude, Datadog, and dogfood our own product
Launch & Rollout Coordination
  • Drive the operational plan for betas and broader rollouts and launches - tracking readiness across Training, CA, Sales Enablement, DS, Marketing, and Documentation
  • Maintain a shared view of launch status, exit criteria, and early signal against success metrics
  • Run structured post-launch retrospectives and circulate findings to the PM team
🧭 PM Team Enablement
  • Maintain the PM team's operational rhythm: OKR tracking, roadmap tooling hygiene
  • Build and maintain playbooks so feature onboarding and recurring processes don't rely on tribal knowledge
  • Ensure feedback loops from early adopters and EAP participants are closed and documented
What We're Looking For
  • 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
Nice to Have
  • Familiarity with public sector compliance requirements
  • Prior exposure to data science/engineering or instrumentation pipelines


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