Growth Marketing Manager — Demand Engine Lead

Firefly; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Firefly is seeking a seasoned B2B growth marketer to own the paid acquisition engine and demand generation. You will manage channels such as Google, LinkedIn, YouTube, X and more, with end-to-end ownership of targeting, testing, attribution and pipeline development.

You'll work closely with the Head of Product Marketing to bring the broader plan to life across launches, events, content, social, photo and video shoots, and campaigns, while experimenting and iterating to scale performance.

Qualifications

• 5+ years in B2B growth, demand generation or performance marketing, with direct paid media budget management.
• Proven ability to generate qualified pipeline, not just impressions or clicks.
• Strong analytical skills, with experience in conversion tracking, attribution and dashboards.

Responsibilities

• Build the paid acquisition engine across Google Search, LinkedIn, YouTube, Meta, X and other channels.
• Manage budgets, bidding, audiences and targeting across education, healthcare and enterprise segments.
• Build a continuous testing program for creative, messaging, audiences, formats and landing pages.
• Collaborate with design and video teams to develop assets and write briefs and copy.
• Own attribution, UTMs and pipeline reporting to inform spend and strategy.

Skills

Paid media management

Google Ads

LinkedIn Campaign Manager

Analytics & attribution

Campaign testing & optimization

Cross-functional collaboration

Tools

Attio

Job description

Firefly is seeking a seasoned B2B growth marketer to own the paid acquisition engine and demand generation. You will manage channels such as Google, LinkedIn, YouTube, X and more, with end-to-end ownership of targeting, testing, attribution and pipeline development.

You'll work closely with the Head of Product Marketing to bring the broader plan to life across launches, events, content, social, photo and video shoots, and campaigns, while experimenting and iterating to scale performance.