#TeamNextdoorNextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 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
As the Marketing Technology & Operations Manager, you will own the data, pipelines, and tooling that power our lifecycle, SMB, and Nextdoor Ads Manager marketing programs. Youll work within an established MarTech stack - Segment, Iterable, Salesforce, Databricks, and Workato - helping ensure clean, reliable data flows that Marketing and RevOps teams depend on to drive engagement and revenue.
This is an individual contributor (IC) role - you will be a hands-on practitioner and focused on technical execution. This role combines hands-on MarTech ownership with cross-functional product thinking. Youll translate marketing and GTM use cases into events, traits, and audiences; partner with Data Platform and Customer Experience on Kafka and Databricks-based pipelines; and ensure our CDP and lifecycle platform remain healthy, usable, and compliant at scale.
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
You will be a key contributor to our MarTech data and activation work - helping turn signals from product and CRM systems into reliable traits, events, and audiences that support email journeys, advertiser lifecycle programs, and first-party audience products. Your work will directly contribute to reducing time-to-launch for lifecycle campaigns - replacing slow, DS-queue-dependent workflows with faster, self-serve audience activation and enabling the data reliability that underpins measurable revenue and engagement growth.
Event & Data Pipeline Ownership
Own the end-to-end marketing event path from Flask and other product sources into Segment and downstream tools (Iterable, Workato, and other destinations)
Maintain and evolve the mapping engine configuration that filters product events into a canonical Segment CDP topic, ensuring only marketing-relevant traffic flows into the MarTech stack
Build and maintain marketing data pipelines from product events and warehouse models into Segment and Iterable, so lifecycle programs have the right signals for retention, reactivation, and upsell/cross-sell at scale
Own and operate key reverse ETL / bridge jobs from Databricks to Segment and Iterable, ensuring warehouse models and traits stay aligned with marketing requirements and data retention guidelines
Segment, Iterable & Audience Activation
Own Segment workspaces, schemas, and destinations for key marketing projects, ensuring events and traits remain organized, documented, and discoverable for marketers and analysts
Manage Iterable integrations for lifecycle and advertiser journeys, ensuring reliable delivery of both real-time event streams and batch traits to support onboarding, reactivation, and upsell programs
Partner with CIA, Sales, and Marketing to design and maintain first-party audiences and interest segments exposed across GAM, internal tools, and email programs
Work with RevOps and DS to replace fragile SalesforceIterable syncs with governed DatabricksIterable datasets - enabling self-serve audience building and reducing manual CSV workflows - including Smart Ingest/Data Sync configurations and governance models for enterprise/NAM accounts
Scheme Governance, Compliance & Hygiene
Monitor Segment usage (unique event names, schema growth) and drive consolidation, archival, and naming clean-up to keep the system performant and usable
Ensure identifier consistency across B2B and B2C use cases and alignment with Salesforce, product Identity, and other revenue systems
Maintain data hygiene and PII/consent standards across Segment, Iterable, and related rETL models - including hands-on troubleshooting of consent flows, preference center syncs, and suppression logic to ensure compliance policies hold up in production, not just on paper
Contribute a MarTech perspective to broader governance frameworks (SOX, GDPR/CCPA, global consent patterns) as they apply to marketing data and activation
Collaboration & Stakeholder Engagement
Serve as the primary MarTech point of contact for Growth Marketing, Lifecycle, Product Marketing, and RevOps on data and tooling questions, incident triage, and new program enablement
Translate marketing requirements into clear data and integration work: events to instrument, traits to model, journeys to support, and QA plans before launch
Partner closely with Data Platform, CXE, Analytics, and BizTech Revenue Systems on cross-system initiatives (e.g., preference centers, consent flows, NEXT launch, international programs) that depend on reliable MarTech infrastructure
Monitoring, Troubleshooting & Support
Own monitoring and health checks for key pipelines: Kafka write rates, consumer lag, Segment delivery latency, Iterable ingestion health, and Salesforce event flows that impact campaigns and journeys
Lead investigation and resolution for missing, mis-routed, or malformed events and traits, following an end-to-end debugging flow from product events through Segment, Iterable, and audience membership
Act as a first or second-line responder when journeys misfire, audiences change unexpectedly, or campaigns are blocked due to data issues, coordinating with engineering and data teams as needed
Roadmap & Operational Excellence
Contribute to the MarTech roadmap with a focus on identity hygiene, schema standardization, deliverability, and reducing manual workflows in favor of governed DatabricksIterable paths
Help evaluate and right-size vendor contracts and platform usage (e.g., Segment, Iterable, Litmus), balancing capability needs with cost and performance
Maintain and enhance documentation and reference artifacts (e.g., Segment ingestion & architecture docs, User Traits master sheets, role overviews) so the broader team can self-serve and new hires can ramp quickly