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Marketing Technology & Operations Manager

Nextdoor · US Remote · Remote · Deleted · Greenhouse

Job facts

FieldValue
CompanyNextdoor
TitleMarketing Technology & Operations Manager
Normalized title-
Department / teamInformation Technology
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary-
Statusdeleted
ATS providerGreenhouse
Posted / first seen2026-02-26 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-01

Related slices

PageWhat it containsOpen
Company jobsActive postings from Nextdoor.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyNextdoor
Source7d89b519-f9f5-4213-a024-cdcccc426ebf
ATS providerGreenhouse

Description

#Team Nextdoor 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 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. 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 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 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 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 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 What You’ll Bring To The Team Education & Experience 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 MarTech & Data Skills 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 Collaboration & Leadership 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 Governance, Risk & Compliance 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 Values & Mindset 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. 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 $144,000 to $185,000 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 . #LI-Remote

Full job record

Job ID2d6a6187ba6a1494af7d08094d9b4adb1b2560b9
Org ID36d75d3d-0b7f-4ff5-a1ed-4876145d3913
Source ID7d89b519-f9f5-4213-a024-cdcccc426ebf
Board ID7d89b519-f9f5-4213-a024-cdcccc426ebf
Providergreenhouse
Provider Job Key7631074
TitleMarketing Technology & Operations Manager
Normalized Title
Statusdeleted
Activeno
Location TextUS Remote
DepartmentInformation Technology
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://about.nextdoor.com/careers-list/?gh_jid=7631074
Apply URLhttps://about.nextdoor.com/careers-list/?gh_jid=7631074
First Seen At2026-05-29 23:00:31Z
Last Seen At2026-06-01 10:22:59Z
Last Checked At2026-06-03 10:55:39Z
Last Changed At2026-06-03 10:55:39Z
Inactive At2026-06-03 10:55:39Z
Source Posted At2026-02-26 17:31:57Z
Source Updated At2026-05-11 19:55:06Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=nextdoor/date=2026-06-01/2026-06-01T10-22-58-858Z-4c7d24559a485d3d843f2a5a6ba629b28f5327518e0ed3a62a3dec24a196c7d5.json
Event Fields
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  "last_changed_at": "2026-06-03T10:55:39.198Z",
  "active_status": "deleted"
}
Parsed Structured
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    "is_remote": true,
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  "inferred_at": "2026-06-01T10:22:59.021Z",
  "launch_scope": {
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    "included": true,
    "language": "en",
    "location": {
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  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "metadata": [],
  "updated_at": "2026-05-11T15:55:06-04:00",
  "departments": [
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      "child_ids": [],
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  "company_name": "Nextdoor",
  "requisition_id": 3365882,
  "first_published": "2026-02-26T12:31:57-05:00",
  "application_deadline": null
}
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