Marketing Technology & Operations Manager

Nextdoor is the essential neighborhood network, connecting neighbors, public agencies, and businesses around local information. The Marketing Technology & Operations Manager will own the data, pipelines, and tooling for marketing programs, ensuring clean data flows and supporting engagement and revenue through effective lifecycle management.

Responsibilities:

• 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
• 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 Salesforce→Iterable syncs with governed Databricks→Iterable datasets — enabling self-serve audience building and reducing manual CSV workflows — including Smart Ingest/Data Sync configurations and governance models for enterprise/NAM accounts
• 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
• 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
• 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
• Contribute to the MarTech roadmap with a focus on identity hygiene, schema standardization, deliverability, and reducing manual workflows in favor of governed Databricks→Iterable 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

Requirements:

• Bachelor's degree in Computer Science, Business Administration, Marketing Technology, or a related field
• 5+ years of experience in Marketing Technology, Marketing Operations, or Growth Engineering, with hands-on ownership of CDP and lifecycle tooling (e.g., Segment, Iterable, Braze, or similar)
• Experience working in data-rich, event-driven environments, partnering closely with Data Platform, Analytics, and Product Engineering teams
• Experience leading complex cross-functional GTM or MarTech projects as an individual contributor, driving alignment across teams without direct people management responsibilities
• Deep, practical Segment experience: sources, destinations, tracking plans, schemas, and audience building — including governance of high-volume event streams and schema limits
• Hands-on Iterable (or equivalent lifecycle platform) experience, including journeys, events, traits, and email deliverability
• Comfortable with event and data modeling at the JSON/Kafka/warehouse layer: designing clean events and traits that map to business concepts like neighbors, SMBs, enterprise advertisers, and agencies
• Solid SQL and analytics literacy — able to query Databricks models and rETL outputs to validate data, debug issues, and support new audience definitions
• Familiarity with Salesforce, Workato, and reverse ETL patterns connecting CRM and warehouse to Segment and Iterable is a strong plus
• Experience with lead-to-cash flows, marketing orchestration, and data-driven campaign capabilities is a plus
• Demonstrated ability to work across Marketing, RevOps, BizTech, Data Platform, CXE, and Analytics — translating non-technical requirements into robust data flows and integrations
• Strong communicator who can explain complex MarTech concepts to stakeholders at different technical levels, build consensus on data and consent strategies, and drive alignment under time pressure (e.g., launches, P0 incidents)
• A mindset of ownership and operational excellence, with a track record of spotting issues early, designing durable fixes rather than one-off patches, and proactively improving data quality and tooling
• Awareness of privacy, consent, and PII constraints in CDP and email ecosystems, and how they affect targeting, retention, and legal/compliance obligations across regions
• Comfort participating in discussions around schema limits, data retention, and vendor contracts — weighing engineering cost, marketer usability, and regulatory requirements
• A builder's mindset: you enjoy designing systems and documentation that outlast individuals and make it easier for teams to ship campaigns faster and safer
• High empathy for marketers and GTM teams; you understand their goals and constraints and design data flows that let them focus on strategy, not plumbing
• A passion for Nextdoor's mission and the role that thoughtful, well-governed MarTech plays in connecting neighbors and local businesses responsibly
• Salesforce, MarTech, or CDP certifications