- Location
- Brazil
- Department
- Marketing
- Seniority
- Manager
- Experience
- 2+ years
Description
At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections.
ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe.
Who we are
ClassPass’ Marketing Technology team is looking for a MarTech Program Manager to serve as the systems backbone of our MarTech org. You’ll step into a complex, evolving technical environment, quickly understand what’s happening end to end, and rebuild what’s needed into clean, scalable systems you’ll own over time. The core loop of this role is build, maintain, and improve: you’ll design AI-powered automations and backend workflows that support some of our most operationally complex marketing functions, stay close to what you’ve built, and make smart calls when edge cases show up without a playbook.
- Design and build AI-powered automations, internal tooling, and workflows using Claude and Claude Code to reduce manual effort and surface insights from large datasets
- Own automations end to end, including monitoring system behavior, debugging issues, handling edge cases, and making judgment calls when things break
- Untangle MarTech tech debt by mapping current-state systems, identifying root causes, and rebuilding workflows to be cleaner and more scalable
- Turn ambiguous problems into clear paths forward by asking sharp questions, defining scope, and presenting well-reasoned options
- Partner across marketing and technical teams to keep backend systems reliable, understandable, and ready to evolve as priorities shift
- Build infrastructure that’s robust (handles edge cases), documented (others can follow it), and flexible (supports iteration without rework)
- Dig into data to validate system performance, spot patterns, and support decision-making using SQL and structured investigation
Experience You'll Bring
- 2+ years of experience in Revenue Operations, Business Operations, or a technically oriented operations role where you built and owned systems (not just managed them)
- Fluency in SQL, including the ability to navigate and interrogate large, complex datasets independently
- Hands-on experience building and maintaining AI-powered automations or workflows using APIs, LLMs, and/or no-code or low-code tools
- Strong systems thinking, including comfort questioning why something is set up a certain way and what might break if it changes
- Ability to operate without a playbook, diagnosing and resolving novel technical problems independently
- End-to-end ownership mindset, including post-launch monitoring, debugging, and continuous improvement
- Experience owning complex cross-functional work end to end, including scope definition, timelines, stakeholder communication, and rapid ramp-up in unfamiliar areas
- Nice to have: hands-on experience with CRM platforms such as HubSpot or Braze, and automation tools such as n8n
Have we piqued your curiosity?
Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.
The Company is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
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