Senior Lifecycle Marketing Manager

Responsibilities

Lifecycle Strategy

• Own Fireworks' lifecycle strategy across the 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 product adoption and revenue growth.
• Develop lifecycle frameworks for both self-serve product-led growth and enterprise sales-led journeys.

Demand Generation and Customer Journeys

• Build and optimize always-on nurture programs for 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 timely, relevant, and personalized lifecycle messaging and content.
• Partner with Product, Sales, Customer Success, and Growth Marketing to align communications with customer behavior, buying stage, product usage, and account signals.

Pipeline, Adoption, and Expansion

• Nurture remarketable audiences into qualified pipeline.
• Re-engage inactive leads and dormant accounts.
• Improve user onboarding and accelerate activation milestones.
• Increase discovery and adoption of models, products, and platform capabilities.
• Support enterprise sales and expansion opportunities.
• Improve retention and long-term customer value.

GTM and Customer Communications

• Own lifecycle communications for product launches, feature releases, go-to-market campaigns, customer announcements, and other high-impact business moments.
• Partner with Product Marketing and Product teams to coordinate messaging across customer touchpoints.

Experimentation and Optimization

• Build experimentation programs across nurture campaigns, onboarding, messaging, customer education, and expansion programs.
• Design frameworks that measure incremental business impact and optimize customer journeys.
• Continuously improve lifecycle performance through A/B testing, behavioral insights, and data-driven optimization.

AI and Automation

• Use AI to improve personalization, content generation, segmentation, journey orchestration, and lifecycle decisioning.
• Build intelligent programs that determine who to engage, when to engage, where to engage, and what message to deliver using behavioral, product usage, CRM, and account signals.
• Evaluate AI capabilities and automation tools that improve customer experience and marketing efficiency.

Measurement and Insights

• Partner with Marketing Analytics and Data to establish lifecycle reporting, customer health metrics, and performance dashboards.
• Measure lead engagement, nurture effectiveness, activation, adoption, retention, expansion, pipeline influence, and revenue.
• Translate insights into recommendations that improve customer experiences and business outcomes.

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 product-led and sales-assisted customer journeys.
• Proven success developing nurture programs, onboarding experiences, customer engagement initiatives, and expansion campaigns with measurable business outcomes.
• Hands-on experience with marketing automation platforms such as HubSpot, Marketo, Braze, Customer.io, Iterable, or similar tools.
• 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 and experience using experimentation, customer insights, and behavioral data to optimize lifecycle performance.
• Excellent communication and content development skills.
• Ability to translate customer insights into scalable lifecycle strategies.
• Comfort building 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 product-led growth 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.

Benefits

• Work on challenges at the forefront of AI infrastructure, including low-latency inference and scalable model serving.
• Build technology that shapes how businesses and developers use AI globally.
• High ownership and direct impact in a fast-growing team.
• Collaborate with engineers and AI researchers working on innovative technology.