Product Marketing Lead

San Francisco · US CA Los Angeles · US CA San Francisco - · USD 135,000-175,000 · Hybrid · Posted Oct 19, 2026

At a glance

Product Finance is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of neighbors.
You will interrogate data, tease out the story and utilize insights to guide product strategy and our top-of-funnel forecasting.

Partner closely with the broader F&S team and ProdDev leads to identify and solve analytical problems that delight the user, drive the product roadmap and impact underlying KPIs
Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations
Analyze data to identify trends, discrepancies, and opportunities to improve the product ecosystem
Provide actionable recommendations and insights to senior management to facilitate informed decision-making
Lead a portion of quarterly outlook process for forecasting user growth, neighbor engagement, and overall revenue opportunities for the monetization team
Utilize insights around metric development to inform better decision making and enable increased forecast accuracy
Assist & present in our weekly performance tracking and management of business operations
Understand the full lifecycle of analytics tooling including conceptual metrics definition, initial coding, automation and optimization, and debugging issues by partnering with our Analytics Engineering group
Facilitate data ownership and accountability by closely partnering with data science, product, and engineering partners to improve data robustness
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises

2-to-6 years of relevant experience in analytical / strategic roles (e.g. investment banking, consulting, business operations, or analytics at a fast-paced technology company)
Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders from the associate to C-Suite level
Experience formulating, running, and sharing complex analyses that have a strategic business impact such as time series analyses, cohort retention studies, and forecasting
A highly analytical and inquisitive work style with keen attention to detail
Working knowledge of Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn

Advanced degree with a focus on Business, Applied Statistics, Data Science, or similar
Knowledge of AB testing, from the statistical techniques to interaction effects to delivering the “what’s next” recommendations to ProductDevelopment partners
Past experience in being or working with the “business partner” in a product group
Comfort with methods, tools, and packages for statistical modeling and machine learning
Work experience related to user generated content, social/community-based products, small business advertising, or auction systems
Experience with NLP/Sentiment analysis or other large text classification models
Partnership with a qualitative research team to triangulate analytics findings and translate user feedback to quantitative metrics
Expertise in testing and evaluating the impact of network effects

Embraces a hybrid employment model, blending an in office presence and work from home experience