Senior Lifecycle Manager
Synthesia is an active London-based enterprise AI video platform that lets businesses create, localize, manage, and publish videos using AI avatars and voiceovers.
Funding history
About Synthesia
Synthesia Limited provides browser-based AI video creation for business communications, training, sales enablement, marketing, and support. Its platform includes AI-assisted creation, avatars, voiceovers, translation/localization, collaboration, and publishing workflows.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the product-led lifecycle motion after signup, designing automated customer journeys that drive activation, adoption, engagement, expansion, retention and winback. You will build segmentation, behavioural triggers, workflow logic and suppression rules; run experiments; analyse performance; maintain campaign quality and deliverability; and apply AI to improve personalisation and operational efficiency.
Requirements
- 6+ years of experience in lifecycle, CRM or email marketing
- Experience in B2B SaaS or product-led companies
- Hands-on HubSpot experience, including complex workflows, list building, segmentation and campaign execution
- Experience building and optimising automated onboarding, nurture and re-engagement programmes and one-off campaigns
- Experience owning lifecycle initiatives from journey design through implementation, QA, reporting and optimisation
- Analytical experience using product, CRM and engagement data to build audiences, evaluate performance and run experiments
- Experience using AI for lifecycle execution, operational efficiency or customer personalisation
- Knowledge of email deliverability, SPF, DKIM, DMARC, GDPR and CCPA/CPRA
- Ability to manage cross-functional projects and influence stakeholders
Responsibilities
- Design, build and optimise lifecycle journeys across activation, adoption, engagement, expansion, retention and winback
- Own end-to-end lifecycle programme implementation, including segmentation, behavioural triggers, workflow logic, suppression rules, QA and performance monitoring
- Develop and execute experiments on messaging, timing, segmentation and journey design
- Analyse experiment results and implement actionable improvements
- Use product usage, customer attributes and engagement signals to personalise lifecycle experiences
- Own campaign QA and testing processes
- Support email deliverability and sender reputation
- Establish best practices for segmentation, frequency management and customer experience
- Apply AI to lifecycle content creation, personalisation and workflow automation
- Partner with Product, Product Marketing and Data teams to build lifecycle programmes
Benefits
- Equity
