Technical Product Manager - Data Science and Machine Learning

Join Stack Overflow as a Technical Product Manager

Every developer has a tab open on Stack Overflow. We are one of the most popular websites in the world, focused on increasing productivity, decreasing cycle times, accelerating time to market, and protecting institutional knowledge. Innovation is at the heart of everything we do. We embrace collaboration, transparency, and believe in leading with empathy; creating an environment where every Stacker knows they belong. We embrace that the unique contributions and points of view of all Stackers contribute to our success.

About the Role

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 developers. In this 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, 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.

Responsibilities

• 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.

What You’ll Get in Return

• Competitive Base Salary
• Generous paid vacation
• Generous parental leave (16 weeks at 100% pay), family care leave, and unlimited sick days
• Equity (RSUs) for all employees at all levels
• Industry-leading health benefits that are applicable per country of residence for all our full-time employees
• Company-paid Life Insurance
• Home Internet stipend
• Professional allocation for your growth and development
• One-time allowance to assist with your home office setup
• Company-paid access to Calm, Bravely, LinkedIn Learning, MyAcademy and Overdrive

Stack Overflow is proud to be an equal opportunity workplace. We value diversity, inclusion, equity and belonging and these pillars are at the heart of how we work together here at Stack. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.