GlossGenius - GTM Ops Analyst
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Requirements
• 3+ years in marketing operations, demand gen operations, or a revenue operations role at a high-growth technology company • Hands-on HubSpot experience at an operational level — workflows, lifecycle stages, lead scoring, form management, and reporting; you configure it, you don’t just use it • Experience with Segment or a comparable CDP — you’ve configured sources, set up destinations, and diagnosed passthrough issues, not just read event streams • Hands-on Google Tag Manager experience — deploying and auditing tags on a marketing site, coordinating with Engineering on deployments • Strong command of campaign attribution — UTM governance, multi-touch attribution models, and end-to-end tracking validation from first touch to closed deal • Experience managing audience syncs to paid platforms — LinkedIn Matched Audiences, Meta Custom Audiences, Google Customer Match • Use AI tools actively to increase your own leverage — you’ve found ways to eliminate busywork and do higher-quality work faster because of them • Detail-oriented with strong QA instincts — you test before you ship, you document as you go, and you audit regularly
Responsibilities
• Own ABM operations end-to-end — target account list management, intent data feeds (6sense, Bombora, G2), account scoring in HubSpot, and audience syncs to LinkedIn, Meta, and Google • Build and govern the demand gen data layer — UTM framework, campaign attribution configuration in HubSpot, form and landing page routing, and demand gen reporting for RevOps (MQL volume by source, CAC by channel, pipeline influenced) • Own the Marketing–Sales boundary in HubSpot — MQL handoff logic, lifecycle stage transitions, AE assignment rules, lead scoring thresholds, and the operational SLA between Marketing and Sales • Set up and maintain eventing in Segment for downstream paid platforms — Meta, Google, TikTok — ensuring conversion signals are accurate, complete, and documented; serve as the first line of diagnosis when event passthrough breaks • Manage web tags on the Marketing Site via Google Tag Manager — own the tag infrastructure, audit regularly, and coordinate with Engineering on deployments • Ensure Sales and Lifecycle Marketing teams have the data they need — use Segment to feed the right event and user data into HubSpot and Iterable respectively so both teams can operate without gaps • Partner with GTM Engineering on attribution model validation and ABM signal pipelines — you own the HubSpot and reporting layer, Eng I owns the warehouse and sync infrastructure
Benefits
• Competitive health & dental insurance options, with premiums partially covered by GG • Fertility and adoption benefits via Carrot and Kindbody • Generous, fully-paid parental leave policy • 401k benefit - employees are eligible to contribute starting day 1 of employment • Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses • Pre-tax commuter benefits • Dependent Care FSA • Team Bonding opportunities - annual company retreat for entire team, plus virtual events throughout the year • The base salary for this role is between $120,000-$150,000 + equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering. • Personal Information: Notice at Collection for Employees and Applicants • Agency SubmissionsIf a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired. • GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
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