Lifecycle Marketing Lead, Harvey
$145-195k
+ Equity and bonus
Domain-specific AI for legal and professional services
Job no longer available
Domain-specific AI for legal and professional services
501-1000 employees
Job no longer available
$145-195k
+ Equity and bonus
501-1000 employees
Company mission
To help professionals develop expertise, faster.
Role
Who you are
- We’re looking for a Lifecycle Marketing Manager with deep expertise in email marketing
- 6+ years of experience in lifecycle, CRM, or email marketing roles, ideally in B2B SaaS
- Track record of building nurture and retention programs that drive measurable pipeline and ARR growth
- Hands-on experience with email marketing and automation platforms (e.g., HubSpot, Marketo, Braze, Iterable)
- Strong understanding of segmentation, testing, and personalization
- Ability to balance strategic program design with hands-on campaign execution
- Comfort working cross-functionally with Product, Customer Success, Sales, and Marketing
What the job involves
- We’re looking for a Lifecycle Marketing Manager to own the design and execution of our customer lifecycle communications
- This role is central to how we nurture prospects, drive product adoption, and create expansion opportunities within our customer base
- You will start by designing and executing high-impact email programs that engage our audience across the customer journey—from nurture sequences to onboarding, retention campaigns, upsell/cross-sell motions, and event-driven demand generation
- Over time, your role will expand to support moving users from trial to activation to paid expansion
- Design and build email programs for the full customer lifecycle (nurture, onboarding, retention, upsell/cross-sell)
- Own execution of customer-facing communications for product launches, feature announcements, customer events, and marketing programs
- Run demand generation for events and webinars, driving registrations, attendance, and follow-up nurture sequences
- Partner with Customer Success, Product, and GTM teams to ensure lifecycle programs support adoption, engagement, and expansion
- Collaborate with product marketing and demand gen to ensure campaigns support pipeline goals and align with GTM priorities
- Implement segmentation and personalization strategies to improve engagement, conversion, and retention
- Track performance and report on contribution to broader marketing goals, tying email and website performance to pipeline, ARR, and customer health
- Evaluate tools and partners (ESP, customer engagement platforms, or agencies) to scale Harvey’s lifecycle marketing engine
- Analyze performance data and continuously optimize for higher engagement, retention, and revenue impact
Our take
The explosive popularity of generative AI tools has seen specialized solutions popping up for all kinds of industries. Hoping to help supercharge efficiency and productivity for legal teams, Harvey supplies generative AI that can assist with documentation, as well as aid research and optimize workflows.
Via natural language instructions, Harvey helps draft and analyze legal documents. It can also answer complex questions across large document sets, or even handle research queries that cover multiple domains in legal, regulatory and tax.
Its ability to support legal practitioners as if it's another member of the team is what makes Harvey particularly interesting. This approach has seen the company raise substantial funding, reaching Unicorn status in 2024. Funds are now being used to expand to new geographies, grow headcount and further collect and curate data to train more “domain-specific” AI models.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 9 rounds)
Oct 2025
$160m
LATE VC
Oct 2025
$59m
GROWTH EQUITY VC
Total funding: $1.0bn
Company HQ
Financial District, San Francisco, CA
Leadership
Winston Weinberg
(Co-Founder & CEO)Graduated with a Juris Doctor from the USC Gould School of Law, then spent 1 year as an Associate at O'Melveny & Myers before founding Harvey.
Gabe Pereyra
(Co-Founder & President)Previously worked as a Research Scientist at Meta and DeepMind. Also spent a year as a Brain Resident at Google.
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