Jobs · Management · New York

Operations Manager (Product)

Nevis · New York, NY · 7 mo ago
On-siteManagement$40/hrFull-time

About the role

We are looking for a highly analytical and driven Operations Manager (Product) to work at the heart of Nevis’s Product teams.

Responsibilities

  • Partner with Product & Engineering teams to define and execute operational strategies that drive product success.
  • Analyse key product, user, and financial metrics to identify inefficiencies and unlock new growth opportunities.
  • Translate insights into actionable plans that improve customer experience, scalability, and profitability.
  • Lead and deliver high-impact, cross-functional projects across product, AI, and operations.
  • Help define product strategy and go-to-market plans for new features and verticals.
  • Build scalable processes and frameworks for tracking product performance and operational efficiency.
  • Serve as the bridge between product development and business execution, ensuring alignment across teams.
  • Leverage SQL, Python, or other analytical tools to drive data-informed decisions.

Requirements

  • 2+ years’ experience in operations, product strategy, consulting, or data-driven roles in high-growth environments.
  • STEM degree (or similarly quantitative discipline) from a top-tier university.
  • Exceptional analytical skills – strong proficiency with SQL, Excel, and preferably Python.
  • Highly structured thinker with strong problem-solving and critical reasoning skills.
  • Excellent communicator, capable of working cross-functionally with engineering, product, and leadership teams.
  • Strong business acumen and a deep curiosity for how products and systems work.
  • Thrives in a fast-paced, high-growth environment and takes ownership from idea to execution.
  • Fluent in English, both written and spoken.

Qualifications

  • Nice to have:
  • Experience in fintech, SaaS, or data-heavy products.
  • Background in strategy consulting, investment banking, or venture capital.
  • Familiarity with product analytics tools.
  • Track record of building or scaling tech products using data and customer insights.

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