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.