Manager, Product Operations

Job Description

Job Description

The Product Operations Manager reports directly to the VP of Product at Windfall's San Francisco headquarters. Specifically, this team is a "player/coach" role where you will be responsible for your own work but also manage a small team of Product Operation Analysts. You will work closely with our engineering, data science, and customer success teams. You will play a key role in streamlining internal processes, creating analysis, and communicating findings to both internal and external stakeholders in slide decks that you construct.

 

This role will give you an opportunity to advance your management and analytical skills. Working alongside an incredibly talented team of Analysts, Data Scientists, and Engineers, you’ll work on projects to provide impactful insights to the most advanced non-profit and commercial companies in the US. Your insights will help non-profits exceed their donation goals, and commercial companies achieve higher ROI on their marketing spend.

 

We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust.

Responsibilities:

• Actively managing a team of Product Operation Analysts and ensuring that work meets high standards, quality, and accuracy
• Managing upwards to ensure alignment and cohesion of project plans and cross-functional initiatives
• Aggregating data from several sources to generate accurate analysis for your own individual contributor work
• Generating visualizations leveraging different technologies to be included in slide decks and dashboards and auditing the work of the team
• Constructing slide decks from inception to effectively communicate results to various internal & external stakeholders
• Performing focused research on US households to help validate our model and dataset
• Gathering training data that will help us improve Windfall’s data asset
• Creating custom segments for our customers based on different heuristics
• Standardizing and transforming customer data in numerous formats for internal processing

Requirements:

• Bachelor's degree or similar experience in computer science, data analysis, or engineering 
• 5 years of professional work experience or applicable analytics internships
• Management experience with a team of meeting deadlines and working through project management software
• Collaborative team-focused attitude with a strong desire to advance the product and learn new things
• Advanced SQL and Python
• Hands-on experience working with large data files via command line
• A fierce sense of ownership and responsibility in one’s work and a desire to cultivate the team's ownership
• You are a self-starter that anticipates requests and doesn’t need a lot of oversight
• Impeccable attention to detail. We take pride in the details!

Preferred Qualifications:

• 5-7 years of work experience with SQL and Python
• Previous experience in analytics in large data sets and preferably for a company that has a data product
• 2 years of management experience

 

 

 

About Windfall

Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit

 

We comply with CCPA. For more information on how we comply, review our privacy notice.

 

Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 

 

We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.