The Challenge
People Inc. needs a rare hybrid: someone who codes like an engineer but thinks like a growth marketer. You'll own the entire activation backbone-from Kafka pipelines to Hightouch syncs to Iterable personalization-making growth faster and more automated at scale.
Your Mission
Map and document the full activation stack architecture (auth → warehouse → CDP → ESP); identify critical bottlenecks and technical debt
Own end-to-end ownership of 2-3 core activation pipelines; reduce manual handoffs by 40%
Build operational dashboards tracking data freshness, segment accuracy, and campaign trigger health in real-time
Establish runbooks and escalation protocols for the most common data sync, API, and segmentation failures
Ship event-driven streaming workflows (Kafka or equivalent) powering trigger-based messaging with <5min latency
Launch 3 internal automation tools that eliminate recurring manual work (segment validation, campaign triggering, health monitoring)
Implement advanced audience modeling and personalization frameworks reducing campaign setup time by 50%
Establish yourself as the go-to technical authority; own all complex escalations involving data, APIs, and platform limitations
KPIs You'll Own
Activation Pipeline Uptime
Percentage of time data flows from warehouse to ESP without manual intervention or sync failures.
Campaign Setup Time
Hours to execute end-to-end from segment definition through live deployment across Iterable/Pushly/Piano.
Segment Accuracy Rate
Percentage of deployed audience segments matching expected size/composition within 5% variance.
Manual Operational Load
Weekly hours spent on manual data fixes, API debugging, and platform troubleshooting; target 30% reduction quarterly.
Event Streaming Latency
Time from customer event trigger to message deployment; target sub-5 minutes for real-time campaigns.
Tools & Stack
Your Team
Your Manager
Not specified; likely VP of Growth or Head of Audience Relationships
Current Team
Audience Relationships Team (composition not provided)
New role
The Package
Salary
$165K-$210K base
Remote
Hybrid: 3 days/week on-site in New York City; up to 2 days/week remote
Benefits & Perks
Company Intelligence
People Inc. is a growth-focused organization building sophisticated activation and lifecycle marketing infrastructure. The company operates at the intersection of data engineering and growth marketing, requiring deep technical rigor to power personalized customer experiences at scale.
Culture
Technical, ownership-driven, cross-functional collaboration between marketing ops, data, and product teams
Is This Role For You?
- You code in SQL, Python, or JavaScript and actually enjoy building data pipelines-you're not just a marketer learning SQL
- You've owned a CDP, ESP, or activation stack end-to-end and know exactly where things break
- You thrive at the intersection of technical depth and business impact; you care about metrics but live in the code
- You want a hands-on senior role where you're debugging Kafka streams one day and owning product strategy the next
- You want pure strategic marketing without coding; this role is 60% technical execution, 40% strategy
- You've never worked with CDPs, ESPs, or data warehouses; the learning curve is real and this hire needs day-one impact
- You need 100% remote work; this is hybrid-first with 3 days/week in NYC
Interview Process
Screening Call
30 min conversation about your technical background, activation stack experience, and approach to debugging data pipelines
Technical Deep Dive
Walk through a previous activation project: architecture, tools used, challenges, how you'd improve it
System Design
Design an end-to-end activation pipeline from event ingestion through message send; expect questions on data freshness, latency, reliability
Stakeholder Round
Conversations with VP of Growth, Head of Data, and/or Product leadership on cross-functional collaboration and scaling
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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.