Senior Lifecycle Strategist

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $266K – $295K, with generous equity, performance-related bonuses, and the following benefits:

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

About the Team

The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products.

About the Role

We’re looking for a Senior Lifecycle Strategist to define how prospects and customers move through personalized, signal-driven journeys across the B2B lifecycle. You’ll own lifecycle strategy, audience and journey architecture, testing priorities, and performance recommendations while partnering closely with a Lifecycle Marketing Manager on build and delivery.

Responsibilities

• Define the B2B lifecycle strategy, journey architecture, audience framework, communication principles, and roadmap across prospect and customer stages.
• Design nurture and activation programs that respond to fit, persona, segment, product interest, engagement, intent, and sales status.
• Partner with RevOps, Data, Web, SDR, Sales, and Product teams to establish reliable triggers, scoring inputs, routing logic, suppression rules, exits, and service levels.
• Work closely with the Lifecycle Marketing Manager to translate strategy into clear program requirements, content needs, build plans, QA standards, and launch sequencing.
• Own the lifecycle experimentation agenda across segmentation, messaging, cadence, content, channel, triggers, and CTAs.
• Develop the measurement framework across reachable audience, engagement quality, progression, conversion, velocity, pipeline, adoption, retention, and incremental impact.
• Improve database health and addressability by partnering on acquisition quality, enrichment, consent, deliverability, governance, and audience hygiene.
• Build durable lifecycle playbooks and governance that balance personalization, operational simplicity, customer trust, and scalable execution.

Requirements

• 10+ years of experience in B2B lifecycle, CRM, retention, growth, or marketing automation.
• Deep knowledge of segmentation, nurture, personalization, automation, experimentation, deliverability, consent, and lifecycle measurement.
• Hands-on fluency with enterprise marketing automation and CRM concepts; Marketo and Salesforce experience is valuable.
• A track record of improving meaningful business outcomes such as qualified conversion, activation, pipeline, adoption, retention, or expansion.
• Strong systems thinking and the ability to translate customer and business needs into decision rules, journey logic, and clear execution requirements.
• Excellent partnership skills across technical, analytical, creative, sales, and customer-facing teams.
• Comfort working through imperfect data and evolving processes while building toward a more reliable and scalable operating system.
• Genuine curiosity about AI and how it can improve personalization, decisioning, content adaptation, analysis, and operations.