#TeamNextdoor

Nextdoor is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet your Future Neighbors

Product Finance is committed to driving growth through new user acquisition and increasing engagement amongst our existing user base of neighbors. Today, we work closely with product and engineering teams to understand the impact and trends across growth and engagement while building and maintaining our quarterly and long-range forecasts. Historically, we’ve always been strong in our reporting and forecasting; however, over the past year we’ve been expanding our capabilities to dive deeper into our data to understand the “why” to subsequently get to “what” we should be doing about it. 

We are looking for someone with a bias towards action. You will interrogate data, tease out the story and utilize insights to guide product strategy and our top-of-funnel forecasting. You will build and execute core operational processes, such as metrics reporting, user growth and engagement forecasting and tracking the impact of product initiatives collectively. In your role, the opportunity to work on special projects directly with product teams is also possible as you will work closely with senior product leaders and on a day-to-day basis. Successful candidates will exhibit technical acumen, product sense and business savvy. You are passionate about leveraging the power of data to drive product changes with quality and agility. You are a team player. 

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. 

The Impact You’ll Make

The work of Product Finance is essential to the growth and success of the company and involves frequent opportunities to showcase key metrics and findings to senior leadership. In this role, you will:

• High Impact: 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
• Insight discovery: Deliver data insights and drive for adoption through tools (e.g. dashboards, self-serve reporting), memos and presentations. Additionally, 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
• Forecasting: 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
• Performance management support: Assist & present in our weekly performance tracking and management of business operations. Ensure accuracy and timeliness in performance reporting, helping the team meet its short and long-term objectives
• Analytics foundation: 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
• Collaboration: 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
• Build in-person relationships with team members and contribute to Nextdoor’s company culture

What You’ll Bring To The Team

• 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)
• Storytelling: Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders from the associate to C-Suite level
• Deep Dives: 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 is critical to success
• Ownership: A curious self-starter who thrives under a high level of ambiguity and autonomy; capable of incorporating larger business context into data questions and product development; drill down into processes but zoom out to a larger view
• Tools: Working knowledge of Python, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn. BI / dashboarding experience is useful. We use Looker
• It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us and include a note/cover letter detailing any additional experiences you’d like to highlight

Bonus Points

• 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

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.

The starting salary for this role is expected to range from $135,000 - $175,000  on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate’s geographic location.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants’ personal information, please see Nextdoor's Personnel Privacy Notice, found here.