Growth Marketer
Quick Summary
trial-to-paid conversion, activation rates, feature adoption, and time-to-value, and run rigorous experiments to move them
What The Role Involves?
This is not a campaign manager role. This is not 'run LinkedIn ads and report CPL.' This is a role for someone who wakes up thinking about compounding growth loops, who sees AI not as a tool to speed up existing work but as a surface to build entirely new growth infrastructure.
You'll operate as a high-autonomy IC — designing, building, and shipping growth experiments end-to-end — while working closely with product, content, and sales to close the loop on what you build. You'll own levers that touch acquisition, activation, and expansion, and you'll be expected to move fast and think big.
If your default question is 'what's the 10x version of this?', you'll thrive here.
You have 2-3 years in growth ideally in a PLG or product-led sales environment and you've shipped experiments with real impact, not just managed campaigns someone else built. Beyond the experience, here's what makes you the right fit:
You're AI-native: LLMs are a core part of how you work, and you think about AI as a way to build new growth mechanisms not just move faster
You've built something that compounds before- a programmatic SEO engine, a referral loop inside a product, an intent-based outbound system that scaled or a free tool that drove users to a larger product
You can write: positioning, cold hooks, in-app messaging, narratives - you understand that words convert
You're analytically sharp: funnel math is intuitive, you know the difference between signal and noise, and vanity metrics don't fool you
You've used tools like Clay, Apollo, Amplitude, HubSpot, Segment, or Webflow — and you're always adding new ones to your stack
You can operate as a true IC: take a vague problem, structure it, run the experiment, ship -without hand-holding
You understand (or are excited to learn) the compliance and developer/security buyer persona
You need a large team or agency behind you to execute
Your north star is MQLs and impressions, not activation and revenue
You prefer defined playbooks over writing them from scratch
Location & Eligibility
Listing Details
- Posted
- May 15, 2026
- First seen
- May 15, 2026
- Last seen
- May 15, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 68%
- Scored at
- May 15, 2026
Signal breakdown

Ambitious cloud companies all over the world trust Sprinto to power their security compliance programs and sprint through security audits without breaking their stride.
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