Lifecycle Marketing Manger

Who You Are:

• 5+ years in lifecycle, growth, email, or marketing automation at a B2B technology company, with hands-on ownership of programs you built and measured yourself.
• Experience building both a self-serve product-led motion and an enterprise nurture motion, with a clear understanding of why they require different approaches.
• Deep craft in email. Show us sequences you wrote and be ready to explain the reasoning behind the audience, subject line, length, cadence, and call to action.
• Experience using product behavior and account signals to trigger and personalize lifecycle programs.
• Credibility with a developer audience. You understand why most marketing email fails with engineers and can write something they will actually read.
• A track record of improving activation, engagement, pipeline progression, or reactivation through programs you personally owned.
• Experience supporting webinars or virtual programs through audience strategy, promotion, segmentation, and post-event conversion.
• Experimentation discipline. You have run real tests, written honest readouts, and changed programs based on what the results showed.
• Analytics fluency. You can build your own reporting, investigate performance, and tell the difference between a lift and a coincidence.
• Working knowledge of deliverability fundamentals, consent, preference management, and list hygiene, enough to partner well with Marketing Operations.
• A proven AI builder mindset. You have shipped automations and workflows using LLMs and other tools, not just used ChatGPT to write copy.

Nice to Have:

• Experience at an API-first or developer tools company with a free tier.
• Fluency with product analytics and event-triggered messaging based on usage data.
• Experience building PQL programs and partnering with Sales on product-led pipeline.
• SQL or comfort pulling and validating your own segments.
• Experience with enterprise buying committees and account-based nurture.
• Experience with webinar or virtual event platforms at scale.
• Familiarity with hybrid PQL and MQL models and how lifecycle programs support both.
• Experience working in a high-growth environment where the processes and programs still need to be built.