Lifecycle Marketing Manager, Growth
- Compensation
- Not disclosed
- Location
- San Francisco-HQ
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Marketing
- Posted
Skills
Must have
- Minimum 2 years of relevant work experience in consumer growth marketing, lifecycle marketing, consumer product marketing, with demonstrated progression in scope and impact. B2C experience required, i
- Lifecycle marketing and experimentation: proven track record of building and executing lifecycle campaigns across channels (email, SMS, push, direct mail), including designing rigorous experiments, an
- Consumer product marketing: experience developing consumer messaging, value propositions, and go-to-market strategies for product launches. Able to translate product capabilities into compelling narra
- AI-forward: experience leveraging AI tools (e.g., AI-driven content generation, automated analysis, personalization platforms, LLMs) in your marketing work. You don't need to be an engineer, but you s
- Cross-functional leadership and communication: demonstrated ability to lead and influence complex, multi-stakeholder initiatives without direct authority across product, engineering, data science, cre
- Proactive and independent: you set your own priorities, anticipate risks, troubleshoot issues, and drive projects forward with minimal oversight. You have a bias toward action and a commitment to cont
Full description
The Opportunity
Hinge Health is looking for a Growth Marketing Manager who will lead initiatives that drive member engagement through lifecycle marketing campaigns and serve as a consumer product marketer for new programs and products. This is a hybrid role where you'll spend your time designing and running multi-channel campaigns (email, SMS, push, direct mail) that keep members active and engaged, while also partnering with product teams to bring new offerings to market with compelling messaging and go-to-market strategies.
You'll work closely with our clinical team (the physical therapists, coaches, and care managers who work directly with members) to ensure marketing and clinical touchpoints work together to drive better member outcomes. You'll also partner with data science, creative, and product teams to design experiments, build personalized experiences, and measure what's working.
At Hinge Health, we're building AI into everything we do. In this role, you'll be on the forefront of AI in marketing, using AI tools to accelerate your work and partnering with our AI and product teams to develop smarter, more personalized member communications. We're looking for someone who is already using AI in their day-to-day and is excited to push it further.
What You'll Accomplish
- Drive member engagement through lifecycle campaigns. Own strategy and experimentation to move key engagement metrics by designing multi-channel campaigns (email, SMS, push, direct mail) that get members to start their program, stay active, and come back when they disengage.
- Run a rigorous experimentation program. Develop hypotheses rooted in data and member insights, design and execute experiments, analyze results, and turn learnings into action. You'll always have experiments in flight and a roadmap of what's next.
- Lead new program and feature launches. Partner with product teams to bring new programs and features to members. That means surfacing consumer insights to shape the roadmap, developing messaging and value propositions, and owning go-to-market strategy and execution.
- Work hand-in-hand with our clinical team. Collaborate with the physical therapists, coaches, and care managers who work directly with members to ensure marketing and clinical communications reinforce each other and drive better member outcomes.
- Push the boundaries of AI in marketing. Partner with our AI and engineering teams to develop smarter, more personalized member communications. Use AI tools in your own work to move faster and think bigger.
- Analyze and optimize relentlessly. Dig into campaign performance data to find what's working and what's not. Present clear, data-driven recommendations to leadership and cross-functional partners.