Responsibilities

• Platform Administration: Administer HubSpot at the platform level: manage user permissions, teams, property definitions, and record configurations.
• Property Management: Own HubSpot property management: create, modify, and retire properties; maintain dropdown values and dependencies; keep the data model clean and documented.
• Workflow & Integrations Health: Maintain workflow and integration health: audit active workflows for errors and outdated logic; monitor third-party integrations and the Salesforce sync.
• Organization & Updates: Keep the workspace organized: maintain campaign, list, and folder structure; manage import settings and dedupe configurations; stay current on platform updates and evaluate new features.
• Data Quality & Tagging: Oversee data quality in HubSpot: deduplication, standardization, missing-field cleanup, persona/buyer-type tagging, and bounce management.
• AI-Assisted Triage: Monitor HubSpot to Salesforce sync errors with AI-assisted triage; resolve routine issues, investigate the patterns AI flags as unusual, and escalate the more unusual ones.
• Compliance & Opt-Out: Maintain suppression and do-not-contact lists; ensure compliance with GDPR, CCPA, CAN-SPAM, and internal opt-out rules.
• Health Reporting: Run recurring database health reports, partnering with AI to surface emerging issues before they become campaign problems.
• AI-Driven Enrichment: Operate our AI-driven enrichment workflows built on ZoomInfo and other third-party sources; review automated outputs, QA samples, and handle edge cases where human judgement matters.

Requirements

• Bachelor's degree in Marketing, Business, Data Science, or a related field — or equivalent practical experience.
• 3–5 years of marketing operations, marketing data, or database administration experience.
• HubSpot certified, with hands-on administration experience — properties, workflows, user/team setup, integrations, and reports.
• Hands-on experience with Salesforce, ZoomInfo, Clay.com, or comparable third-party contact data platforms and orchestration tools.
• Advanced spreadsheet skills (lookups, pivot tables, formulas, large datasets).
• Working knowledge of GDPR, CCPA, and data privacy best practices.
• Genuine comfort working alongside AI tools. You've used AI in your day-to-day work, you know its strengths and limitations, and you're energized by being the human reviewer who makes automated systems better.
• Strong attention to detail. You catch the things other people miss, and you take pride in clean, accurate work — including catching where AI gets things wrong.
• Good written communication and cross-functional collaboration — able to document processes, write clear specs, and ask sharp questions.
• Self-directed. Comfortable owning recurring work, triaging issues, and knowing when to escalate vs. when to fix.

Preferred

• Working knowledge of Salesforce and the integration of Salesforce and HubSpot
• Familiarity with B2B marketing concepts: lead lifecycle, scoring, MQL/SQL definitions, account tiering, persona tagging
• Experience supporting A/B testing and campaign performance analysis
• Hands-on experience using AI tools for data work: enrichment, deduplication, standardization, list-building, summarization, or quality checks
• Experience improving an automated or AI-driven workflow; refining prompts, tuning criteria, identifying false positives, or building feedback loops
• Light SQL, or experience writing report filters from a data dictionary
• Experience in cybersecurity, professional services, or B2B research