Product Marketing Lead

Nextdoor • Los Angeles, CA

16h • $135,000 - $175,000 • Hybrid

About The Position

Nextdoor is seeking a data-driven professional to support Product Finance and drive growth through user acquisition and increased engagement. The role partners closely with product, engineering, data science, analytics engineering, and finance and strategy teams to investigate performance, explain trends, guide product strategy, and improve top-of-funnel forecasting. The successful candidate combines technical acumen, product sense, business judgment, curiosity, and a bias toward action.

The position leads analysis and reporting on user growth, neighbor engagement, and revenue opportunities, and helps build operational processes for forecasting and performance tracking. It also involves developing and maintaining analytics tools and metrics, identifying opportunities to improve the product ecosystem, and presenting findings and recommendations to senior leaders. The role may include special projects with product teams and frequent exposure to senior leadership.

Nextdoor operates in an AI-first environment and expects employees to use AI tools as part of their workflow while taking ownership of AI-assisted work. The company describes its work model as hybrid, combining office and work-from-home time. For candidates near its San Francisco, Los Angeles, Chicago, Dallas, New York, and London offices, the hiring team will discuss in-office expectations. Participation in in-person trainings, off-sites, volunteer days, and team-building events is expected.

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 to stakeholders from associate through C-suite level.
• Experience formulating, conducting, and presenting 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 ambiguity and autonomy while incorporating broader business context into data questions and product development.
• Ability to investigate detailed processes while maintaining a broader perspective.
• Working knowledge of Python and common scientific-computing and data-science packages, including NumPy, pandas, and scikit-learn.
• Ability and willingness to use AI tools in 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 next-step recommendations for product partners.
• Experience acting as, or working with, a business partner within a product group.
• Comfort with statistical-modeling and machine-learning methods, tools, and packages.
• 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.
• BI or dashboarding experience; Nextdoor uses Looker.

Responsibilities

• Partner with Finance and 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 decision-making.
• 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 improve decision-making and forecast accuracy.
• Assist with and present in weekly performance tracking and business operations management; ensure reporting is accurate and timely.
• Work across the analytics-tooling lifecycle, including defining metrics, initial coding, automation, optimization, and debugging in partnership with Analytics Engineering.
• Partner with data science, product, and engineering to improve data robustness and establish data ownership and accountability.
• Participate in in-person company events, including trainings, off-sites, volunteer days, and team-building exercises.
• Build in-person relationships with colleagues and contribute to Nextdoor’s company culture.
• Use AI tools as part of the workflow and take ownership of AI-assisted outputs.

Benefits

• Meaningful equity grant with quarterly vesting; the first vest date occurs 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.
• Total rewards package that includes compensation, benefits, perks, and recognition programs.

What This Job Offers

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