Product Marketing Lead

Nextdoor•Los Angeles, CA
•Hybrid

About The Position

The Product Finance team supports growth through new-user acquisition and increased engagement among existing users. This role uses data to understand growth and engagement trends, uncover the reasons behind them, and guide product strategy and top-of-funnel forecasting. The position builds and executes operational processes for metrics reporting, user growth and engagement forecasting, and measuring the impact of product initiatives. It works closely with product and engineering teams and senior product leaders, with opportunities to contribute to special projects. The role requires technical acumen, product sense, business judgment, and a bias toward action, using data to drive product changes with quality and agility. Nextdoor operates in an AI-first environment and expects team members to actively use AI tools such as Claude, Gemini, ChatGPT, and Glean, taking ownership of AI-assisted outputs. The company describes its work model as hybrid, combining in-office and work-from-home work. For roles near offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London, the hiring team will discuss expectations. Product Finance’s work contributes to company growth and success and includes regular opportunities to present metrics and findings to senior leadership. The role partners with Finance & Strategy and Product Development leads, delivers data insights through dashboards, self-service reporting, memos, and presentations, and provides actionable recommendations to management. It leads part of the quarterly outlook process for user growth, neighbor engagement, and monetization revenue opportunities; supports weekly performance tracking and business operations; and helps maintain accurate, timely reporting. It also works across the analytics-tooling lifecycle, from metric definition and coding through automation, optimization, and debugging, in partnership with Analytics Engineering, data science, product, and engineering teams. The position includes participating in in-person company events such as trainings, off-sites, volunteer days, and team-building exercises, and contributing to company culture. Compensation is expected to be $135,000–$175,000 annually, potentially higher depending on proficiency and level, with the range determined by geographic location. A meaningful equity grant is expected, with quarterly vesting and the first vest date within three months of starting. Employees may choose among health plans, including an employee-only option that is 100% covered, and receive a OneMedical membership.

Requirements

  • 2–6 years of relevant experience in analytical or strategic roles, such as investment banking, consulting, business operations, or analytics at a fast-paced technology company.
  • Excellent written and oral communication skills, including the ability to communicate complex material effectively to stakeholders from associate through C-suite levels.
  • Experience formulating, running, and sharing complex analyses with strategic business impact, such as time-series analyses, cohort-retention studies, and forecasting.
  • Highly analytical and inquisitive working style with keen attention to detail.
  • Curious, self-starting approach and ability to thrive with ambiguity and autonomy.
  • Ability to incorporate broader business context into data questions and product development, balancing process-level detail with a broader perspective.
  • Working knowledge of Python, including common scientific-computing packages and data-science tools such as NumPy, pandas, and scikit-learn.
  • Actively use AI tools such as Claude, Gemini, ChatGPT, and Glean and take ownership of AI-assisted work.

Nice To Haves

  • Advanced degree focused on business, applied statistics, data science, or a similar field.
  • Knowledge of A/B testing, including statistical techniques, interaction effects, and developing follow-up recommendations for Product Development partners.
  • Past experience acting as, or working with, a 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 or community-based products, small-business advertising, or auction systems.
  • Experience with NLP, sentiment analysis, or other large text-classification models.
  • Experience partnering with a qualitative research team to validate analytics findings and translate user feedback into quantitative metrics.
  • Expertise in testing and evaluating the impact of network effects.
  • BI or dashboarding experience; Nextdoor uses Looker.

Responsibilities

  • Partner with Finance & Strategy colleagues and Product Development leads to identify and solve analytical problems that improve the user experience, inform the product roadmap, and affect key performance indicators.
  • Deliver data insights and encourage adoption through dashboards, self-service 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 support informed decision-making.
  • Lead a portion of the quarterly outlook process, forecasting user growth, neighbor engagement, and revenue opportunities for monetization.
  • Use insights from metric development to inform decisions and improve forecast accuracy.
  • Assist with and present in weekly performance tracking and business operations management.
  • Ensure performance reporting is accurate and timely to help the team meet short- and long-term objectives.
  • Support the analytics-tooling lifecycle, including metric definition, initial coding, automation, optimization, and debugging, in partnership with Analytics Engineering.
  • Partner with data science, product, and engineering teams to improve data robustness and establish data ownership and accountability.
  • Participate in in-person Nextdoor trainings, off-sites, volunteer days, and team-building exercises.
  • Build in-person relationships with team members and contribute to Nextdoor’s company culture.
  • Actively use AI tools as part of the workflow and take ownership of AI-assisted outputs.

Benefits

  • Meaningful equity grant, with quarterly vesting and the first vest date within three months of start.
  • Choice of health plans, including an employee-only plan option that is 100% covered.
  • OneMedical membership for concierge care.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service