#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and local businesses use Nextdoor to connect around information that matters in more than 350,000 neighborhoods across 11 countries. We build technology that helps people 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

As Nextdoor’s Monetization Data Science Lead (Senior Manager/Director), you will be a co-owner in shaping our monetization strategy and outcomes. You’ll also contribute to the broader senior leadership group by helping connect product strategy, business goals, and data-informed direction.

Your work will directly impact how Nextdoor creates value for businesses of all sizes—from multinational brands to the dry cleaner and babysitter down the street—while balancing advertiser outcomes with neighbor experience and long-term platform health.

The Data Science team operates in a semi-embedded model: data scientists are closely aligned to product pillars and work day-to-day with product, engineering, and business stakeholders to drive decision-making through rigorous measurement, experimentation, and modeling. Our team brings diverse backgrounds and perspectives; we act as decision scientists for product development and marketing, and play an active role in building, improving, and evaluating the product and business.

At Nextdoor, we 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

In this role, you will be responsible for developing, communicating, and leading execution of the data science strategy across Nextdoor’s monetization products. This leader will set a high bar for the Data Science craft and team effectiveness—combining strong hands-on technical and business judgment with the ability to scale impact through others. While people management and growth are key to this role, it is not a pure management position; strong technical and domain expertise are strongly preferred.

You’ll help build a culture where asking the right questions, high velocity, and proactivity in leveraging data are the norm. This role has the potential to materially influence Nextdoor’s growth trajectory by improving how we identify opportunities, measure progress, and make decisions across monetization.

Your responsibilities will include: 

• Owning the monetization DS roadmap: identify the highest-impact opportunities and risks, define clear success metrics, and align stakeholders on priorities
• Raising the bar on DS craft excellence: establish standards for strong analysis, experimentation, and impact-orientedness; provide high-quality review and mentorship; and help the team deliver work that is rigorous, decision-relevant, and well-communicated
• Being a hands-on technical leader: contribute on the framing and execution of the most strategic, ambiguous, and high-leverage problems (e.g., measurement strategy for new products, experiment design standards, causal questions, marketplace dynamics)
• Driving experimentation and measurement: design and evaluate experiments, ensure sound interpretation, and strengthen the end-to-end measurement system (instrumentation, definitions, dashboards, and decision forums)
• Partnering cross-functionally to move strategy forward: serve as a thought partner to Product, Engineering, Sales, and other functions—bringing clarity, structure, and constructive data-informed judgment, especially when tradeoffs are complex
• Building scalable systems and leverage: improve team throughput through reusable frameworks (metric definitions, analysis templates, audience definitions, and tooling) and by reducing repeated, one-off work
• Leading, growing, and developing the team: hire and develop data scientists, create an inclusive and high-performing culture, and ensure strong career growth and performance coaching
• Representing Data Science and a data-informed POV in leadership discussions: communicate clearly to varied audiences—from deep technical reviews to executive narratives—while maintaining rigor and intellectual honesty

What You’ll Bring To The Team

• 10+ years in data science, product analytics, applied statistics, machine learning, or equivalent experience; advanced degree in a quantitative field strongly preferred
• Hands-on experience in advertising or monetization data science for consumer products (e.g., ads marketplaces, targeting/relevance, measurement, auction dynamics, yield optimization, budgeting/pacing, attribution, or related domains)
• Proven people leadership experience, including hiring and managing a team of data scientists across multiple problem areas, with a track record of growing others and raising team standards
• Strong DS craft fundamentals: expertise in experimentation, measurement, and statistical reasoning; ability to choose the right method for the question and to anticipate pitfalls and bias
• Experience leading complex analyses end-to-end (problem framing → data requirements → analysis/modeling → recommendations → iteration)
• Comfort partnering across the product development spectrum (strategy, ideation, instrumentation, experimentation, and—where appropriate—model development)
• Exceptional communication: ability to explain complex ideas clearly, influence decisions, and write narratives that drive alignment and action
• Appetite for applying AI and emerging tools to increase productivity and reimagine how DS teams deliver impact (without sacrificing rigor and decision quality)
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

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 $199,000 to $300,000 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.

#TeamNextdoor

Nextdoor (NYSE: NXDR) 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

The Fraud Prevention organization at Nextdoor is dedicated to protecting neighbors from harmful content, fraud, and abuse, and ensuring that neighbors can safely build and participate in local communities on our platform. The team - which consists of Product, Engineering, Design, and Neighborhood Operations (NOPS) - helps develop policies, build detection systems, and deliver moderation tools at scale to keep our platform safe.

We are seeking a Senior Data Scientist, Fraud Prevention, to help protect our users, platform integrity, and community experience by developing strong data foundations, robust metrics and measurement frameworks, and advanced analytics and modeling that improve harm prevention and detection and moderation effectiveness. In essence, this role is integral to high-impact, cross-functional initiatives that help inform and shape our strategy and execution.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible 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

Design and Lead Key Analyses and Metric Evolution

• Analyze large, complex datasets to identify abuse patterns, fraud signals, and harmful behavior trends.
• Conduct root cause analysis to diagnose safety incidents and emerging risks.
• Evaluate new tool effectiveness (including AI), and impact on agent efficiency and user satisfaction.
• Define and track core metrics (e.g., harm prevalence, violation rates, detection accuracy).
• Navigate the tradeoff between operational efficiency, safety, and user growth/experience.
• Build dashboards and reporting frameworks to track platform health and safety performance.

Develop Models & Rules

• Develop heuristics, statistical models, and machine learning solutions for proactive detection of abuse, fraud, or harmful content
• Build prediction systems (e.g., anomaly detection, risk scoring, behavioral profiling).
• Improve automated enforcement and moderation workflows.
• Evaluate model performance and iterate on detection strategies.

Evaluate Product / Policy Changes Via Experimentation

• Design and analyze experiments (A/B tests, causal inference) to measure safety feature impact (e.g., login & verification, AI moderation support). Clearly communicate findings to technical and non‑technical stakeholders.
• Quantify tradeoffs between operational efficiency, safety, and user growth/experience. Guide TnS team on key tradeoffs in decision-making

Own Cross-Functional Partnership

• Partner with Product, Engineering, Operations, Policy, and Legal teams to define safety strategy.
• Influence decision-making through data storytelling and insights.
• Standardize analytical methodologies and tools for scalable decision-making.

What You'll Bring To The Team

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• 5+ years of Data Science experience working with large-scale data and statistical analysis, including 1+ year of data science experience in fraud prevention, moderation, or risk.
• Strong analytical and problem‑solving skills, with a track record to lead projects from concept to impact.
• Proficiency in SQL and at least one scripting language (e.g., Python or R).
• Expertise in experimentation and causal inference (A/B testing, cohort analysis, pre/post analysis) to evaluate product or policy changes in production environments.
• Hands-on experience with standard Machine Learning and statistical methods (e.g., prediction, classification, anomaly detection, time series), ideally in risk or fraud prevention contexts.
• Ability to collaborate cross‑functionally with Product, Engineering, Operations, and Legal/Policy partners; comfortable influencing without direct authority.
• Strong communication, with the ability to translate technical concepts to non‑technical stakeholders, including operations leaders and executives.

Nice to Have

• 2+ years of experience in fraud prevention, moderation, or risk in a social platform context.
• Strong experience with anomaly detection and building/deploying machine learning models.
• Experience working with text, image, or behavioral data.

Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package.

The starting base salary for this role for the San Francisco, CA area is expected to range from $175,000 to $234,000 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 also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date.

Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. 

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.

#TeamNextdoor

Nextdoor (NYSE: NXDR) 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

The Analytics Engineering team at Nextdoor transforms diverse data sources into solutions for business challenges. As a lean yet impactful team, we cover the entirety of the Nextdoor business and excel in cross-functional collaboration to empower company-wide data-driven decision-making. 

By amplifying the voices of our platform's users, we play a pivotal role in building stronger, healthier communities. We’re at an exciting transition, evolving from a traditional Business Intelligence focus to a broader mandate that includes strengthening data foundations and developing data products, such as analytics self-serve, for all Nextdoor data consumers.

At Nextdoor, we 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

As a Senior Analytics Engineering Manager, you will 

• Develop and own the vision for Analytics Engineering, delivering curated datasets, dashboards, and internal data products. Define outcomes and communicate prioritization, progress, and impact to leadership
• Establish and enforce standards for metrics, data governance, documentation, and SLAs, overseeing data quality with proactive issue resolution through alerting and root-cause analysis
• Build, coach, and elevate a high-performing analytics engineering team, setting clear goals and fostering a culture of inclusion, learning, and operational excellence
• Collaborate closely with data science, finance, marketing, sales, product, and engineering to prioritize the analytics engineering roadmap and drive data-driven decision-making
• Scale data self-service and literacy by expanding documentation, training, and enablement in key tools and dashboards, empowering stakeholders to explore data independently
• Guide architectural and operational excellence across ETL/ELT pipelines, championing best practices in code review and version control for enhanced reliability
• Cultivate a proactive data product builder culture within the team, shifting from a service-oriented approach to identifying needs, recognizing patterns, and implementing solutions in phases
• 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

• 10+ years in analytics engineering, data engineering, or analytics, with strong hands‑on SQL, Python, and data modeling expertise
• 3+ years of people leadership experience, including hiring, coaching, and performance management in analytics/data teams
• Proven ability to define semantic layers and build scalable dashboards; experience with Looker (preferred) or other BI/visualization tools, including in tool selection, setup and governance 
• Experience building and operating ETL/ELT pipelines with robust validation and monitoring; high bar for data quality
• Excellent communication; proven success partnering with cross‑functional stakeholders (Finance, Product, Engineering, etc.) to define KPIs and deliver measurable outcomes
• Track record of driving projects end‑to‑end and demonstrating clear outcomes and impact
• Appetite for applying AI and emerging tools to increase productivity and reimagine how AE teams deliver impact (without sacrificing rigor and decision quality)
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done
• 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 apply

Bonus Points

• Experience with consumer products, user-generated content, and ad-supported business models
• Proficiency with version‑controlled code (e.g., GitHub) and scripting in Python
• Experience with agile or kanban workflows

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 $204,000 to $301,000 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.

#TeamNextdoor

Nextdoor (NYSE: NXDR) 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

In the Analytics Engineering team at Nextdoor, we believe in the transformative power of information, bringing together data from a wide variety of sources and making it digestible and attainable by everyone in the company. We are a lean but powerful team with diverse backgrounds and perspectives, because that’s what we seek out and respect in others. We collaborate cross-functionally to make the numbers available and clear, playing a key role in the company’s overall effort to foster stronger and healthier communities.

At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible 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

As an Analytics Engineer on the Monetization team here at Nextdoor, you’ll work to democratize data and reporting to drive strategy and measure performance against KPIs across the business. In this role, you will work with various Ads product stakeholders, build data pipelines, own and define metrics in collaboration with data scientists, and serve as a trusted resource for all data needs. You'll be responsible for understanding where our data comes from, transforming it, and making it available to stakeholders across the company via queries, tools, and dashboards. The ideal candidate is a tech-savvy, strong communicator who understands how to make data understandable by everyone.

You should be excited to bring your experience and expertise every day in order to:

• Own reporting tools, pipelines, and dashboards to ensure consistent availability and accuracy of mission-critical data
• Partner with key stakeholders on KPI development and tracking across the Consumer organization
• Build datasets and reports that represent the source of truth for our key metrics
• Keep data sources fresh even while requirements and definitions change. Address data quality issues and build in alerting
• Partner with data science, finance & strategy, marketing, sales, product, and engineering on analytics engineering strategy to enable data-driven decision making across the company
• Set expectations and SLAs on data availability, and own communications around SLA performance to the business
• Drive self-service and data literacy for business users on our data platform by creating and documenting data structures and sets, SQL and data tools training, and dashboard development
• Care deeply about data quality and empowering employees to leverage data to help them succeed in their careers, and help Nextdoor grow and succeed
• 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

• 6+ years working in data engineering or analytics
• Advanced knowledge of SQL, including writing and optimizing queries in multiple dialects
• Experience working in the ads or monetization space
• Experience with Looker (preferred) or another BI/visualization tool
• Experience working with ETL/ELT pipelines
• Strong communication skills, both written and verbal
• Ability to understand, tackle, and solve problems from both technical and business perspectives
• Experience in effectively presenting insights and summarizing complex data to diverse audiences through visualizations and other means
• Demonstrated experience working with and delivering to cross-functional stakeholders from multiple parts of the company (Sales, Engineering, Data Science, etc.)
• Demonstrated experience driving projects end-to-end and can speak to outcome and impact
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

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. Compensation may also vary by geography.

The starting salary for this role is expected to range from $167,000 to $249,000 on an annualized basis, or potentially higher if 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 vesting date will occur within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose from a variety of health plans, including a 100% covered employee-only plan, 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.