Marketing Operations Manager

Seamless

Marketing Operations Manager at Seamless managing martech stack and ensuring data integrity. Collaborating with Sales Ops and Data Engineering to streamline operations and improve data hygiene.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing operations, data standardization, and martech stack administration, with a strong focus on data hygiene, compliance, and operational efficiency. Proficient in managing lead lifecycle operations and ensuring data integrity across marketing functions.

Highest-signal resume keywords

Marketing Operations ManagementData StandardizationCRM Administration (Salesforce, HubSpot)SQL ProficiencyLead Scoring and Routing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data HygieneMartech Stack AdministrationLead Lifecycle OperationsData GovernanceData Validation RulesCampaign OperationsData DeduplicationData NormalizationData EnrichmentData Profiling

Soft Skills

Excellent CommunicationDocumentation SkillsProblem-Solving MindsetCollaboration

Tools & Technologies

CRM (Salesforce, HubSpot)MAP/ESP (Marketo, Customer.io)CDP (Segment)ETL/iPaaS Tools (Zapier, Workato, Fivetran)Analytics Tools

Industry Keywords

B2B SaaSFreemium ModelProduct-Led GrowthCAN-SPAMCASLGDPR

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Own the marketing operations function: martech stack administration, data flow, lead routing, campaign operations, and process
Define and enforce data standards across the marketing org, including naming conventions, field definitions, taxonomies, and a single source of truth
Build and maintain the data hygiene program: deduplication, normalization, enrichment, validation rules, and ongoing cleanup
Own lead lifecycle operations: scoring, routing, deduplication, and SLA enforcement between Marketing and Sales
Administer and integrate the martech stack (CRM, MAP/ESP, CDP, enrichment, and analytics tools); manage integrations, syncs, and contracts
Partner with the Analytics & Insights Manager and Data Engineering on the marketing data model and event schema; you own the plumbing, they own the interpretation
Standardize how every campaign, channel, and source is tagged so reporting is consistent and trustworthy end to end
Build and document repeatable operational processes, playbooks, and QA checks so the team can scale without breaking
Manage data governance and compliance (consent, suppression, CAN-SPAM/CASL/GDPR) and keep the system audit-ready
Be the first responder for broken data, failed syncs, and routing issues; diagnose at the source and prevent recurrence

Requirements

What you’ll need

Bachelor's degree required; Marketing, Business, Information Systems, Analytics, or related field preferred
5+ years of marketing operations, revenue operations, or marketing data experience, including 2+ years in a B2B SaaS company with a freemium or product-led motion
Demonstrated ownership of data standardization, hygiene, and martech administration at a company with high transaction volume and a short sales cycle
Hands-on proficiency with at least one major CRM and one MAP/ESP/CDP required; SQL proficiency required
Equivalent combination of education and high-volume B2B SaaS operations experience will be considered
Deep, hands-on marketing operations experience; you've owned a martech stack and the data that flows through it
Strong data standardization instincts: you build naming conventions, taxonomies, and validation rules that actually get followed
Proficiency administering at least one CRM (Salesforce, HubSpot) and one MAP/ESP/CDP (Marketo, HubSpot, Customer.io, Segment, or similar)
Working SQL and strong spreadsheet skills; you can profile, clean, and reconcile data yourself without waiting on Engineering
Experience designing lead scoring, routing, and Marketing-to-Sales handoff logic at high volume
Comfortable with integrations, APIs, ETL/iPaaS tools (Zapier, Workato, Fivetran, or similar) and debugging data at the source
A governance mindset: you care about consent, suppression, and compliance, and you keep systems audit-ready
Excellent communication and documentation; you make the rules clear and get the rest of the org to adopt them
Bias to ship: you'd rather get a clean, reliable process live this week than a perfect one next quarter.

Benefits

Comp & perks

Health insurance
Paid time off
Flexible work arrangements