Marketing Technology & Operations Manager, Nextdoor
$144-185k
SQL
Kafka
Salesforce
Segment
Braze
JSON
Senior and Expert level
Remote from US
Private social network for neighbours
Open for applications
Private social network for neighbours
501-1000 employees
B2CPrivacyNetworkingSocialSaaS
Open for applications
$144-185k
SQL
Kafka
Salesforce
Segment
Braze
JSON
Senior and Expert level
Remote from US
501-1000 employees
B2CPrivacyNetworkingSocialSaaS
Company mission
Nextdoor’s mission is to cultivate a kinder world where everyone has a neighbourhood they can rely on.
Role
Who you are
- 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
- Bonus: Salesforce, MarTech, or CDP certifications
What the job involves
- 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. You'll 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. You'll 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
- 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
- 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
Our take
Nextdoor is a private social network that aims to encourage social interaction between neighbours and make people aware of crime in their area.
The social network has had huge success in the United States and has expanded internationally, with Nextdoor now present in more than 242,000 neighbourhoods around the world.
The company's main competition comes from local Facebook groups, which have become less and less popular due to their comparative lack of functionality. Nextdoor's laser focus on building for neighborhoods has helped them to build a better product, and their advertising partnership with Oracle, launched in 2022, will help bring more transparency to Nextdoor's sponsorships.
Steph
Company Specialist at Welcome to the Jungle
Insights
Top investors
8% employee growth in 12 months
Company
Funding (2 rounds)
May 2019
$131.5m
Dec 2017
$80.2m
Total funding: $211.6m
Company benefits
- Monthly wellness stipend
- 12 weeks of parental, family or medical leave
- Global end of year shutdown
- Learning and development stipend
- Work from home opportunities
- Health insurance
Company HQ
Tenderloin, San Francisco, CA
Leadership
Nirav Tolia
(Co-Founder & CEO)Is also an Advisor and Investor in Early Stage digital companies and is the Chairman of Hedosophia. Was also a Guest "Shark" on the television series Shark Tank.
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