Product Marketing Lead

Nextdoor • San Francisco, CA

4d • Hybrid

About The Position

The Product Finance team supports growth through new user acquisition and increased engagement among existing users. The role uses data to investigate trends, explain performance, guide product strategy, and inform top-of-funnel forecasting. It builds and executes operational processes for metrics reporting, user growth and engagement forecasting, and assessing the impact of product initiatives. The position works closely with product, engineering, data science, analytics engineering, and senior product leaders, and may support special projects directly with product teams.

The successful candidate brings technical acumen, product sense, business judgment, and a bias toward action. They use data to drive product changes and are expected to work in an AI-first environment, actively using AI tools such as Claude, Gemini, ChatGPT, and Glean while taking ownership of AI-assisted outputs. Nextdoor describes its employee model as hybrid, combining office and work-from-home presence; expectations for candidates near an office are discussed by the hiring team.

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 explain complex topics to stakeholders ranging from associates to C-suite leaders.
• Experience formulating, conducting, and communicating complex analyses with strategic business impact, such as time-series analyses, cohort retention studies, and forecasting.
• Highly analytical and inquisitive work style with keen attention to detail.
• Curious, self-starting approach and ability to thrive with ambiguity and autonomy; incorporate broader business context into data questions and product development, and move between detailed processes and broader perspectives.
• Working knowledge of Python, including common scientific computing packages and data science tools such as NumPy, pandas, and scikit-learn.
• Actively use AI tools as part of the workflow and take ownership of AI-assisted outputs.

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.
• Experience serving 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 triangulate 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 the broader Finance & Strategy team 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 tools such as dashboards and self-serve reporting, as well as memos and presentations.
• Analyze data to identify trends, discrepancies, and opportunities to improve the product ecosystem; provide actionable recommendations and insights to senior management.
• Lead a portion of the quarterly outlook process, forecasting user growth, neighbor engagement, and revenue opportunities for the monetization team.
• Use insights from metric development to support decision-making and improve forecast accuracy.
• Assist with and present in weekly performance tracking and business operations management; ensure performance reporting is accurate and timely.
• Support the full lifecycle of analytics tooling, 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 events, including trainings, off-sites, volunteer days, and team-building activities.
• Build in-person relationships with team members and contribute to Nextdoor’s company culture.

Benefits

• Equity grant with quarterly vesting; first vest date within three months of start date.
• A variety of health plans, including an employee-only plan option with 100% of its cost covered.
• OneMedical membership for concierge care.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed