Own and optimize our HubSpot operations to ensure clean data, reliable automation, and compliant, AI-assisted marketing workflows.

• HubSpot administration: Administer HubSpot at the platform level: manage user permissions, teams, property definitions, and record configurations.
• Own HubSpot property management: create, modify, and retire properties; maintain dropdown values and dependencies; keep the data model clean and documented.
• Maintain workflow and integration health: audit active workflows for errors and outdated logic; monitor third-party integrations and the Salesforce sync.
• 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.
• Database hygiene, growth & enrichment: Oversee data quality in HubSpot: deduplication, standardization, missing-field cleanup, persona/buyer-type tagging, and bounce management.
• 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.
• Maintain suppression and do-not-contact lists; ensure compliance with GDPR, CCPA, CAN-SPAM, and internal opt-out rules.
• Run recurring database health reports, partnering with AI to surface emerging issues before they become campaign problems.
• Operate our AI-driven enrichment workflows built on ZoomInfo and other third-party sources; review automated outputs, QA samples, and handle the edge cases where human judgement matters.
• Process list and segmentation requests against ICP criteria and persona definitions, using AI to accelerate list-building from plain-language requests.

• Audit AI-enriched records for accuracy, dedupe against existing data, and push clean records into HubSpot.
• Track database growth metrics and contribute to weekly/monthly reporting.
• Segmentation & campaign data support: Assist with building and maintaining HubSpot lists, segments, and audience pulls that feed nurture programs, campaigns, and sales outreach.
• Support inbound lead flow operations — ensure leads route correctly, are enriched on entry, and land in the right segments.
• Audit campaign UTM and taxonomy compliance; flag inconsistencies to the Marketing Automation Manager.
• Reporting & continuous improvement: Pull recurring reports for marketing, sales, and leadership stakeholders, leveraging AI to draft summaries and surface insights, then refining with your own analysis clearly defined criteria; support A/B test analysis with clean audience pulls and result reporting.

• 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.

• Nice_to_have: 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.