The Challenge
Universal Ads is simplifying premium video advertising for brands of any size. You'll architect and build the automation-first GTM engine that powers growth, sales, and CS—owning workflows that directly unlock revenue and efficiency gains across the entire revenue org.
Your Mission
Complete comprehensive workflow audit across Growth, Sales, CS, and Product; document top 5 high-impact automation opportunities with clear ROI estimates
Design and deploy first AI-powered automation system (e.g., lead enrichment, creative QA, or outbound workflow) with measurable lift in efficiency
Establish GTM Systems roadmap, prioritization framework, and stakeholder communication cadence across revenue org
Audit current tech stack integration points; identify and remediate critical data flow gaps between CRM, marketing automation, and downstream tools
Ship 3–4 production agentic systems (Claude, Make, or similar) reducing manual work by 10+ hours/week across teams with documented impact
Implement LLM-driven workflows for messaging, analysis, and QA; measure adoption and productivity gains vs. baseline
Build internal productivity dashboards and self-serve automation templates enabling reps and marketers to reduce friction without engineering lift
Establish AI/automation evaluation process and integrate 2–3 emerging tools with clear business case and ROI tracking
KPIs You'll Own
Manual Hours Eliminated
Weekly hours of manual work removed per automation deployment, tracked against baseline.
Automation Adoption Rate
Percentage of revenue org actively using deployed systems within 30 days of launch.
Revenue Velocity Impact
Measurable lift in deal cycle time, conversion rate, or rep productivity correlated to GTM automation rollout.
System Uptime & Reliability
Availability of deployed automations and agentic systems; latency and error rates against SLAs.
Cost per Automation
Total build, deployment, and maintenance cost vs. efficiency gain (hours saved Ă— loaded cost).
Tools & Stack
Your Team
Your Manager
Head of Growth, GTM Systems and BizOps
Current Team
Cross-functional Revenue org (Growth Marketing, Sales, CS, Product/GTM teams)
New role
The Package
Salary
$140K-$180K base
Remote
On-site, New York
Benefits & Perks
Company Intelligence
Comcast's Universal Ads is a self-serve platform enabling brands of any size to buy premium video ads across TV without platform fees, combining content from top media companies with social-like ease. Part of Comcast's larger advertising and media tech business, Universal Ads is scaling rapidly in the premium video ad market.
Is This Role For You?
- You've built workflow automations or RevOps systems in fast-scaling companies and obsess over eliminating friction
- You're equally comfortable designing elegant systems architecture and getting hands-on with APIs, Make, or scripting
- You thrive in ambiguity—you audit messy processes, prioritize ruthlessly, and ship incrementally with clear ROI
- You speak fluent LLM and agentic AI; you've shipped AI-powered workflows or tested emerging tools in production
- You're looking for a traditional Salesforce admin or configuration-heavy RevOps role; this is a high-leverage builder position
- You need remote flexibility; this role is on-site in NYC
- You don't enjoy hands-on building and prefer pure strategy; you'll be personally shipping systems, not just designing them
Interview Process
Screening Call
Alignment on role scope, GTM systems experience, and automation project examples.
Technical Deep Dive
Walk through a recent automation build—architecture, tool choices, integration challenges, and ROI measurement.
Case Study / Take-Home
Design a GTM automation solution for a hypothetical revenue org workflow; present feasibility, stack, and phased roadmap.
Stakeholder Round
Conversations with Head of Growth and cross-functional leaders (Sales, CS, Product) on collaboration and prioritization.
Interested in this role?
Apply now and hear back within days, not weeks.
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About Growth Marketing Roles
Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.