Lifecycle Marketing Sr. Manager (AI)

Location: San Mateo, United States; hybrid

Salary: $190,000–$225,000 annually, plus equity

Company

hirify.global is an AI infrastructure platform that enables companies to build, train, and serve specialized AI models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Own lifecycle marketing strategy across lead nurture, onboarding, activation, adoption, retention, expansion, and advocacy.
• Build scalable programs for both product-led and sales-led customer journeys, including nurture, re-engagement, onboarding, and expansion campaigns.
• Create personalized experiences across email, in-product messaging, web, customer education, product announcements, and AI-powered touchpoints.
• Partner with Product, Sales, Customer Success, Growth Marketing, Product Marketing, Engineering, and Data to coordinate messaging and customer journeys.
• Develop experimentation frameworks and improve performance through A/B testing, behavioral insights, automation, and AI.
• Establish lifecycle reporting, customer health metrics, dashboards, and recommendations tied to engagement, activation, retention, pipeline, and revenue.

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 with nurture programs, onboarding, customer engagement, and expansion campaigns that produce measurable business outcomes.
• Hands-on experience with HubSpot, Marketo, Braze, Customer.io, Iterable, or similar marketing automation platforms.
• Strong knowledge of audience segmentation, lifecycle operations, email practices, automation, experimentation, and customer journey orchestration.
• Strong analytical, communication, and content development skills, with experience working cross-functionally in fast-moving environments.

Nice to have

• Experience in developer-focused, infrastructure, cloud, or AI platform companies.
• Experience with Amplitude, Mixpanel, Heap, or similar product analytics platforms.
• Familiarity with AI-powered personalization, agentic workflows, LLM-driven customer experiences, or CDP platforms.
• Experience with usage-based or consumption-based business models.

Culture & Benefits

• Work on challenging AI infrastructure problems, including low-latency inference and scalable model serving.
• Collaborate with engineers and AI researchers on technology used by businesses and developers.
• Operate in a fast-growing environment emphasizing ownership, direct impact, and minimal bureaucracy.
• Inclusive, equal-opportunity workplace committed to supporting diverse innovators.