Senior Lifecycle Marketing Manager

FireworksSan Mateo, CA
$190,000 - $225,000

About The Position

Fireworks is seeking a Lifecycle Marketing Sr. Manager to build and scale customer journeys for both product-led and sales-led growth. This strategic role focuses on delivering the right message to the right audience at the right time across various channels including email, in-product messaging, web, AI-powered touchpoints, and sales/customer success programs. The manager will collaborate with Product, Growth Marketing, Product Marketing, Sales, Customer Success, Engineering, and Data to create personalized experiences that nurture prospects, accelerate product adoption, deepen engagement, and drive retention and expansion. The role involves defining communication strategies using behavioral data, product usage, experimentation, and automation, and building continuously improving lifecycle systems powered by AI and customer behavior. This is a foundational opportunity to establish Lifecycle Marketing at a rapidly growing AI infrastructure company.

Requirements

  • 8+ years of experience in Lifecycle Marketing, Customer Marketing, Growth Marketing, Product Marketing, CRM, or Product Growth within a high-growth B2B SaaS company.
  • Experience building lifecycle programs across both product-led and sales-assisted customer journeys.
  • Proven success developing nurture programs, onboarding experiences, customer engagement initiatives, and expansion campaigns that drive measurable business outcomes.
  • Hands-on experience with modern marketing automation platforms such as HubSpot, Marketo, Braze, Customer.io, Iterable, or similar platforms.
  • Strong understanding of audience segmentation, lifecycle operations, email best practices, marketing automation, and customer journey orchestration.
  • Experience partnering cross-functionally with Product, Sales, Customer Success, Engineering, Product Marketing, and Analytics.
  • Strong analytical mindset with experience using experimentation, customer insights, and behavioral data to optimize lifecycle performance.
  • Excellent communication and content development skills with the ability to translate customer insights into scalable lifecycle strategies.
  • Comfortable building new systems, processes, and programs in fast-moving, ambiguous environments.

Nice To Haves

  • Experience at a developer-focused, infrastructure, cloud, or AI platform company.
  • Experience supporting both PLG and enterprise sales motions.
  • Experience with product analytics platforms such as Amplitude, Mixpanel, Heap, or similar tools.
  • Familiarity with AI-powered personalization, agentic workflows, or LLM-driven customer experiences.
  • Experience supporting usage-based or consumption-based business models.
  • Experience with customer journey orchestration, experimentation, personalization, or CDP platforms.

Responsibilities

  • Design and own Fireworks' lifecycle strategy across the entire customer journey—from lead nurture and onboarding through activation, adoption, retention, expansion, and advocacy.
  • Build scalable lifecycle programs that accelerate pipeline, improve customer engagement, and drive long-term product adoption and revenue growth.
  • Develop lifecycle frameworks that support both self-serve (PLG) and enterprise (SLG) customer journeys.
  • Build and optimize always-on nurture programs for net-new prospects, marketing-qualified leads, remarketable audiences, product users, and existing customers.
  • Create personalized experiences across email, in-product messaging, web, onboarding, product announcements, customer education, and AI-powered touchpoints.
  • Develop lifecycle messaging and content that is timely, relevant, and personalized based on where customers are in their journey.
  • Partner closely with Product, Sales, Customer Success, and Growth Marketing to deliver the right message through the right channel based on customer behavior, buying stage, product usage, and account signals.
  • Build lifecycle programs that help prospects and customers nurture remarketable audiences into qualified pipeline, re-engage inactive leads and dormant accounts, successfully onboard new users, reach activation milestones faster, discover new models and platform capabilities, increase product usage and consumption, adopt additional products and features, support enterprise sales and expansion opportunities, and improve retention and long-term customer value.
  • Own lifecycle communications supporting product launches, feature releases, GTM campaigns, customer announcements, and other high-impact business moments.
  • Partner with Product Marketing and Product teams to ensure messaging is timely, coordinated, and aligned across customer touchpoints.
  • Build a culture of experimentation across nurture campaigns, onboarding, messaging, customer education, and expansion programs.
  • Design experimentation frameworks that measure incremental business impact, optimize customer journeys, and inform future lifecycle investments.
  • Continuously improve lifecycle performance through A/B testing, behavioral insights, and data-driven optimization.
  • Leverage AI to improve personalization, content generation, segmentation, journey orchestration, and lifecycle decisioning.
  • Build intelligent lifecycle programs that dynamically determine who to engage, when to engage, where to engage, and what message to deliver based on behavioral, product usage, CRM, and account signals.
  • Evaluate emerging AI capabilities and automation tools that improve customer experience while increasing marketing efficiency.
  • Partner with Marketing Analytics and Data to establish lifecycle reporting, customer health metrics, and performance dashboards.
  • Measure performance across lead engagement, nurture effectiveness, activation, adoption, retention, expansion, pipeline influence, and revenue.
  • Translate insights into recommendations that continuously improve customer experiences and business outcomes.

Benefits

  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
  • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
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