Marketing Automation Manager
Location:
Remote
Salary:
$80K–$100K
About the Role
You will design build and optimize the lifecycle and automation engine that powers acquisition activation retention and expansion. Your work spans email in app messaging onboarding sequences lead nurturing scoring enrichment and routing. You partner closely with growth product marketing sales operations and data to ensure every message is timely measurable and relevant.
Key Responsibilities
Own the marketing automation platform selection configuration governance and roadmap
Map prospect and customer journeys from first touch to expansion identify friction points and architect automation to improve conversion
Build nurture and drip programs for key segments trial users evaluators new customers churn risk accounts and upsell candidates
Implement lead scoring and grading models combine demographic firmographic and behavioral signals then iterate for higher quality handoffs
Ensure accurate data synchronization between CRM automation platform product telemetry and analytics warehouse
Set up behavioral triggers for lifecycle events trial activation feature adoption plan upgrade and risk signals
Maintain a clean compliant and permission based contact database including consent management and list hygiene
Run controlled experiments on subject lines send time content structure and channel mix document learnings and scale winning approaches
Create performance dashboards covering funnel health engagement pipeline contribution and revenue impact
Provide clear documentation and playbooks so sales success and content teams can request and understand automations
Collaborate with security and legal on data privacy requirements and audit readiness
You Will Succeed If You Have
Four or more years in a B2B SaaS marketing automation or lifecycle marketing role
Deep hands on experience with a leading automation platform HubSpot Marketo Customer io or similar plus CRM exposure Salesforce preferred
Solid grasp of segmentation dynamic content scoring model design attribution concepts and experiment methodology
Strong quantitative mindset comfort with pulling reports performing cohort analysis and interpreting funnel metrics
Detail orientation high data quality standards and structured documentation habits
Clear communication and collaborative problem solving across technical and non technical stakeholders
Nice To Have
Basic SQL skills to query product usage and event data
Familiarity with reverse ETL tools and customer data platforms
Experience integrating user level product telemetry into lifecycle triggers
Understanding of consent and privacy frameworks GDPR CAN SPAM
What We Offer
Ownership over the full lifecycle automation architecture
Access to product usage data and experimentation tooling for advanced personalization
Learning and development budget for certifications conferences or advanced courses
Supportive open feedback culture with regular knowledge sharing sessions