MarketingFull-time
Associate Creative Director, Design
Hybrid New York City
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About the role
About Genius AI
Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more.
Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points.
About the Role
Genius AI's GTM engine is scaling fast, and the ops infrastructure underneath it needs to keep pace. This role sits at the center of that. You will be the operational bridge between what Marketing builds and what Revenue can measure, trust, and act on. You own the infrastructure that makes campaigns trackable, ABM programs accountable, and every lead handoff from Marketing to Sales traceable from first touch to closed deal. The role sits at the intersection of Demand Gen, Sales, and RevOps and carries real leverage over pipeline quality and marketing efficiency at a critical moment in our growth.
You will report to the Director of Revenue Operations. You must be commutable to our NYC headquarters and will operate in an in-person environment. We default to being in-office 3–4 days per week with required attendance on Tuesdays and Thursdays.
What You'll Do
Own ABM operations end-to-end, including target account list management, intent data feeds from 6sense, Bombora, and G2, account scoring in HubSpot, and audience syncs to LinkedIn, Meta, and Google
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Hybrid New York City
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Stay in the loop
Build and govern the demand gen data layer, including 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, and pipeline influenced)
Build AI-powered workflows that auto-classify inbound leads, flag attribution anomalies before they hit reporting, and draft audience sync QA summaries
Own the Marketing to Sales boundary in HubSpot, including 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 including Meta, Google, and TikTok, ensuring conversion signals are accurate, complete, and documented, and serving as the first line of diagnosis when event passthrough breaks
Manage web tags on the Marketing Site via Google Tag Manager, owning the tag infrastructure, auditing regularly, and coordinating with Engineering on deployments
Ensure Sales and Lifecycle Marketing teams have the data they need by using Segment to feed the right event and user data into HubSpot and Iterable respectively
Align with GTM Engineering on attribution model validation and ABM signal pipelines, owning the HubSpot and reporting layer while Engineering owns the warehouse and sync infrastructure
What We're Looking For
3+ years in marketing operations, demand gen operations, or a revenue operations role at a high-growth technology company
You’ve built AI-powered workflows that changed how a GTM ops or marketing ops function operates, automating repeatable work and redirecting time toward higher-judgment tasks
Moves quickly with strong QA instincts, testing before shipping, documenting as you go, and auditing regularly without needing someone else to prompt it
Hands-on HubSpot experience at an operational level, including workflows, lifecycle stages, lead scoring, form management, and reporting — you configure it, not just use it
Experience with Segment or a comparable CDP, including configuring sources, setting up destinations, and diagnosing passthrough issues
Hands-on Google Tag Manager experience, including deploying and auditing tags on a marketing site and coordinating with Engineering on deployments
Strong command of campaign attribution, including 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 including LinkedIn Matched Audiences, Meta Custom Audiences, and Google Customer Match
Benefits & Perks
Competitive health & dental insurance options, effective on your first day of employment
Flexible PTO
In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
Annual stipend for professional development and continued learning
High performers at 5 years receive a generous stipend to use however you recharge best
401k benefit: employees are eligible to contribute starting day 1 of employment
Dependent Care FSA
Paid parental leave
Fertility and adoption benefits via Carrot and Kindbody
The base salary for this role is between $120,000 to $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 Genius AI's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.
At Genius AI, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Genius AI is proud to be an Equal Opportunity and Affirmative Action Employer.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions If a resume or applicant is submitted to Genius AI by a third party without a signed search agreement in place, it will become the property of Genius AI and no fee will be paid, irrespective of whether the candidate is hired.
Genius AI 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.
New York, NY
New York, NY
The market around this role
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Hiring is easing — 25 open roles.
Hiring mostly for Engineering (10 openings).
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