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Gray Swan

Real-time AI risk detection and protection

Growth Marketing Lead

Growth MarketingPosted on Nov 12
Full-timeRemote in USA$175k - $220k

About the Job

Requirements

  • At least 6 years of experience in growth or performance marketing, including experience at a product-led growth or consumer startup.
  • A track record of growing users through experimentation, supported by specific measurable results.
  • Ability to analyze funnels, identify drop-offs, formulate hypotheses, implement fixes, and measure outcomes.
  • Ability to build dashboards and conduct analysis independently.
  • Experience launching and scaling multiple acquisition channels and managing budgets against return on investment.
  • Experience segmenting audiences and tailoring campaigns to each segment.
  • Ability to operate independently as the most senior marketer for a product.

Responsibilities

  • Map and instrument the full participant journey, from first visit through registration, first challenge, repeat participation, and top performers.
  • Identify major participant drop-off points and work with product to improve onboarding, landing pages, emails, and in-product prompts.
  • Own acquisition, activation, engagement, and retention metrics, as well as the dashboards used to track them.
  • Treat each challenge launch as a growth experiment with a hypothesis, target audience, channel mix, and success metric.
  • Test paid social, creators and influencers, technical communities, partnerships, events, and owned channels.
  • Scale channels that drive qualified participants and stop underperforming channels, including reallocating campaign budgets.
  • Establish new acquisition channels, set up tracking, run initial tests, and determine whether to scale or stop each channel.
  • Build and manage creator, influencer, and partner programs, tracking return on investment for each.
  • Work with AI lab partners and internal teams to maximize visibility for each challenge.
  • Define and prioritize audience segments by value and conversion, including security researchers, AI and machine learning engineers, prompt engineers, students, and hobbyists.
  • Tailor messages, channels, and offers to each audience segment.
  • Use behavioral data to re-engage lapsed participants and develop high performers.
  • Run email, Discord, and in-product lifecycle programs to turn first-time participants into repeat competitors.
  • Use community activity and challenge outcomes to create content that drives participation and credibility.
  • Feed user insights back into product and challenge design.
  • Map the current Arena funnel and identify the three biggest growth levers during the first 90 days.
  • Audit existing channels and spend, and cut or reallocate underperforming activity.
  • Run channel experiments on at least two challenge launches and report the findings during the first 90 days.
  • Launch at least one new acquisition channel during the first 90 days.
  • Set up weekly reporting on registrations, activation, repeat participation, and cost per break.
  • Deliver measurable growth in qualified challenge participation.

Desired Qualifications

  • Experience marketing to developers, security researchers, or other technical audiences.
  • Experience with competitions, hackathons, bug bounties, or other community-driven programs.
  • Experience growing a Discord or similar online community.
  • Familiarity with artificial intelligence, AI safety, or cybersecurity.
  • Hands-on experience with conversion rate optimization, lifecycle or email tools, or product analytics tools.

About the Company

Gray Swan

Real-time AI risk detection and protection

Gray Swan AI develops security solutions for AI deployments, helping organizations identify, manage, and reduce risks in AI models. It provides real-time monitoring, input/output filtering, and threat analysis to prevent adversarial inputs, prompt injections, and model misuse. Core products are Cygnal (input/output filtering to prevent harmful behavior), Shade (automated attack simulations to uncover weaknesses), and Cygnet (an enterprise-focused, safety-oriented language model). Its goal is to enable reliable, compliant, and safe AI deployment by delivering ongoing protection across the AI lifecycle and focusing on the security layer of AI systems.

Company size
51-200
Company stage
Series A
Total funding
$45.7M
Headquarters
Pittsburgh, PA
Founded
2023

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