The Challenge
Eulerity is a fast-growing martech company looking for a Digital Marketing Manager to own campaign strategy across multiple paid platforms while leveraging AI to optimize processes. You'll join their Technical Account Management team at a pivotal growth moment, blending hands-on campaign execution with emerging AI workflows.
Your Mission
Set up and launch 3-5 multi-channel paid campaigns (Google Ads, Meta, LinkedIn) hitting baseline performance benchmarks within 60 days
Integrate AI tools into your workflow—automation, bid optimization, audience segmentation—and document learnings for team
Build relationships with 5-8 key stakeholders across TAM and product teams to understand account needs and campaign priorities
Establish measurement framework: define success metrics, set up dashboards, and deliver first monthly performance report
Manage full campaign lifecycle (planning, launch, optimization, reporting) for 8-12 accounts with average ROAS of 3.5x+ or equivalent metric
Reduce campaign setup time by 25% through AI-assisted workflows and process documentation
Develop playbook for A/B testing across platforms; run min. 15 tests with documented insights and winning variations
Own quarterly business reviews: present performance, recommendations, and roadmap to 3-5 high-touch clients with >90% satisfaction score
KPIs You'll Own
Campaign ROAS / CPA
Track return on ad spend or cost-per-acquisition across all managed campaigns—primary indicator of campaign health.
Campaign Launch Velocity
Time from brief to live campaign; measure how quickly you move from planning to execution with AI-assisted tools.
Account Growth / Upsell Revenue
Monitor whether your campaigns drive expansion revenue or upsells within existing TAM accounts.
Client NPS / Satisfaction
Quarterly or bi-annual feedback from accounts you manage; track retention and willingness to expand.
Tools & Stack
Your Team
Your Manager
Technical Account Management Lead (not specified)
Current Team
TAM team composition unknown; you'll be embedded in TAM workflows
New growth hire for TAM team
The Package
Salary
$75K-$95K base
Remote
Hybrid—on-site in NYC with collaborative flexibility
Benefits & Perks
Company Intelligence
Eulerity is a marketing technology company scaling fast in the digital marketing space. They're investing in AI-powered tools and processes to help teams run smarter campaigns. Based in NYC with a collaborative, innovative culture.
Culture
Collaborative, innovative, hybrid-first; emphasis on leveraging AI in workflows
Is This Role For You?
- You have 1-3 years of paid digital marketing experience (agency background is a plus)
- You're genuinely curious about AI tools and want to experiment with automation in your daily workflow
- You're comfortable with data, metrics, and reporting—you think in terms of ROAS, CTR, and CPA
- You want a manager-track role early in your career with real campaign ownership and client interaction
- You're based in or willing to work hybrid from NYC
- You need 100% remote work—this role requires on-site collaboration in NYC
- You're uncomfortable with ambiguity in tools/processes; you prefer rigid workflows over experimentation
- You have no hands-on experience running paid campaigns (Google Ads, Meta, LinkedIn)
- You're looking for a pure strategic/leadership role; this is execution-heavy with growth potential
Interview Process
Phone Screen
Hiring manager or recruiter validates experience: paid marketing background, AI familiarity, NYC availability
Case Study / Portfolio Review
Walk through 2-3 campaigns you've run: brief, setup, results, learnings. Be ready to discuss metrics and optimization decisions
Team Interview
Meet TAM lead and potentially a peer or product stakeholder; assess collaboration, communication, and curiosity about AI tools
Offer + Onboarding
Standard offer cycle; likely 2-3 week onboarding with focus on platform setup, account introduction, and AI tool training
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.