Prefect · 6 days ago

Demand Generation Manager

United States

Full-time

Remote

Mid Level

$105K/yr - $155K/yr

4+ years exp

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Responsibilities

Your number one goal will be to drive qualifying leads and traffic into our ecosystem

Execute campaigns across multiple channels focusing on paid search, paid social, email, and field events, while also expressing eagerness to explore unconventional channels for our unique persona

Distribute product marketing materials to compelling audiences across the channels you manage, identifying which content will resonate with which audiences

Work closely with the sales team - including directly with SDRs and AEs - to support their activities in outbound and ABM through writing sequences, retargeting, and adjusting lead channels

Proactively learn existing and new tooling in partnership with the Marketing Automation Manager to bring your ideas to fruition

Refuse to let perfect be the enemy of good; instead, you will execute quickly and iteratively as our cloud product and messaging evolve

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Growth MarketingPaid Ad PlatformsMarketing Automation ToolsCampaign Success MetricsData Engineering EcosystemContent RepurposingTechnical Analysis

Required

4+ total years of work experience across several specialties in growth marketing

Experience with paid ad platforms - Google, LinkedIn, and even more niche developer platforms like Reddit, StackOverflow, etc.

Experience running a social calendar and repurposing content

Experience working with sales teams, making adjustments based on feedback on inbound activities to find the most qualified leads.

Experience with marketing automation tools like CRMs (Salesforce, etc), email marketing platforms (Customer.io, Apollo, etc), and ecosystem signal platforms (Common Room, etc)

Experience evaluating campaign success metrics, assisted by a technical analyst

A hunger to understand, reach & influence our category of engineers

Exposure to the data engineering ecosystem, including some of the following: Data movement (Fivetran, Airbyte, Reverse ETL tools), Transformation (dbt, custom Python), Data warehousing (Snowflake, BigQuery, Redshift), Orchestration (Airflow, Prefect, Dagster, Luigi, etc.), Serverless and/or containerized infrastructure (Google Cloud Run, AWS ECS, Docker + Kubernetes, etc.)

Desire to lead by example in an enthusiastic and collaborative environment

The ability to be versatile and context switch when necessary