Product Marketing Lead

Nextdoor • San Francisco, CA

16h • $135,000 - $175,000 • Hybrid

About The Position

Nextdoor’s Product Finance team supports growth through new user acquisition and increased engagement among existing neighbors. The team works with product and engineering to understand growth and engagement trends, maintain forecasts, and analyze data to explain performance and inform action. This role will interrogate data, develop insights, guide product strategy and top-of-funnel forecasting, and build operational processes for metrics reporting, user growth and engagement forecasting, and measurement of product initiatives. The position works closely with senior product leaders and teams across product, engineering, finance, and analytics, and may include special projects with product teams.

The role contributes to company growth by identifying analytical problems, producing actionable insights, forecasting user growth and engagement, supporting performance management, and improving analytics tools and data quality. The successful candidate combines technical acumen, product sense, business judgment, strong communication, and a bias toward action. Nextdoor operates in an AI-first environment and expects employees to use AI tools in their workflow and take ownership of AI-assisted outputs.

Nextdoor describes its employment model as hybrid, combining in-office work and work from home. In-person activities may include trainings, off-sites, volunteer days, and team-building exercises. The hiring team will discuss office expectations for candidates being considered near Nextdoor offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

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 topics effectively to stakeholders from associate through C-suite level.
• Experience formulating, running, and communicating 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, and able to work with significant ambiguity and autonomy.
• Ability to incorporate broader business context into data questions and product development, moving between detailed process analysis and a wider perspective.
• Working knowledge of Python and common scientific computing and data science packages, including NumPy, pandas, and scikit-learn.

Nice To Haves

• BI or dashboarding experience; Nextdoor uses Looker.
• 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 next-step recommendations for Product Development partners.
• Experience being or working with a business partner in a product group.
• Familiarity 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 qualitative research teams to triangulate analytics findings and translate user feedback into quantitative metrics.
• Expertise in testing and evaluating the impact of network effects.

Responsibilities

• Partner with the broader F&S team and Product Development leads to identify and solve analytical problems that improve the user experience, inform the product roadmap, and affect KPIs.
• Deliver data insights and encourage adoption through dashboards, self-serve reporting, memos, and presentations.
• Analyze data to identify trends, discrepancies, and opportunities to improve the product ecosystem, and provide actionable recommendations to senior management.
• Lead a portion of the quarterly outlook process, forecasting user growth, neighbor engagement, and revenue opportunities for the monetization team.
• Use metric-development insights 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 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 promote data ownership and accountability.
• Participate in in-person Nextdoor 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; the first vest date is expected within three months of the start date.
• Choice of health plans, including an employee-only plan option with 100% coverage.
• OneMedical membership for concierge care.

What This Job Offers

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