At Stack Overflow, our mission is to serve developers. Whether we’re helping developers get answers to their questions or work more efficiently with their team we build products that make millions of developers’ lives better every day. As a Technical Product Manager (aka Data Evangelist) at Stack Overflow, you’ll create and build inclusive products and features that directly impact the work and the lives of those developers.

In this particular role, you’ll be leading initiatives on the Data Team which oversees data for our entire company. The Data Team includes people working on initiatives for: Machine Learning for better search performance, NLP to identify which questions are good or bad, building BI reports to help our sales team monitor their leads, and upgrading our SQL Server databases. 

Our data includes a decade of questions and answers from our flagship product (https://stackoverflow.com/), click stream data on hundreds of millions of events each month, and survey data collected from the general public. With your help, we will help Stack Overflow leverage this data to shine the spotlight on emerging trends, identify eager learners and recommend content for their growth, and separate blasé content from great content so users find what they want quickly. Our data is truly unique: semi-structured free-form text for hundreds of millions of users over 10 years with references to technical documents - we are uniquely positioned to improve the lives of millions of developers the world over.

You will be working with a team of Data Scientists, Machine Learning Engineers, Software Engineers, and Data Engineers. You will work with the Director of Data Science to build a vision for the Data Team and collaborate with cross-functional teams to ensure that the data products we are building meet the business needs. 

The first 3 months of your work at Stack Overflow would include:

• Week 1 - Meet the Data people on the Data Team
• Data Scientists, Machine Learning Engineers, DBREs, and Data Engineers
• Week 2 - Meet with the cross functional teams that you will be supporting
• Improving Search with ML, Identifying bad Questions, Training LLMs
• Week 3 - Meet with stakeholders to understand near term and long term goals for key teams
• Week 4 - Draft documents to connect near term work with long term objectives
• Week 8 - Develop list of our biggest opportunities and risks to contribute to our roadmaps
• Week 12 - Take on a leadership role in delivering new features into product and crafting the vision for Data at Stackoverflow

The preferred candidate has prior experience in leveraging data and is familiar with Machine Learning, Data Science.

What you’ll do:

• Collaborate with the Data Team, Product Team, Legal, InfoSec and key stakeholders to execute on the overall strategy for Stack Overflow
• Build a Data Product roadmap, maintain a backlog of projects, and manage the priorities for your team owning implementation, enhancement, and support of the Data Platform
• Partner with our Software Engineering teams to build and deliver features and improvements
• Work closely with various stakeholders across release management, test automation, product support, sales and customer success to align strategy and priorities
• Coordinate with business stakeholders and continuously make sure your team is delivering according to the constantly growing needs of the business
• Be really passionate about data

What we need to see:

• 4+ years in a technical product management or a related role on deeply technical systems
• Experience with data mining, NLP, or ML
• Experience listening to hundreds of users and prioritizing feedback
• Exceptional communication skills, follows up with stakeholders and team members, and takes initiative to anticipate and solve problems
• Excellent spec-writing skills with a clear ability to break down complex problems into smaller, manageable pieces
• Familiarity with scrum/agile methodologies
• Bachelor’s degree in Computer Science or Electrical Engineering, related engineering degree or equivalent experience is a huge plus

Also note:

• We’re a distributed, remote team and you’ll be part of a work culture that emphasizes online & asynchronous communication with minimal meetings and ceremonies
• We’re generally very flexible on working hours, though we do ask everyone on the team to maintain an overlap of (at least) 10AM - 1PM US Eastern time

Salary Range: $126,000 - $190,000 USD