The opportunity
Pendo's mobile SDK is embedded in hundreds of enterprise applications — native iOS and Android, plus React Native, Flutter, . NET MAUI, and Ionic/Capacitor — delivering analytics, in-app guides, and session replay to over 110M monthly active users.
What you'll do
Own the mobile SDK roadmap end-to-end: release planning, versioning and deprecation strategy, and driving version adoption across a fragmented installed base — a shipped fix isn't a delivered fix until customers upgrade.
Bring Mobile into Pendo's AI surface: from AI tagging to agentic installation, AI guide building extensions, and exposing mobile behavioral data through Pendo's MCP so customers' own agents can use it.
Run the escalation motion: own the weekly customer status update, triage sev-level issues with Engineering and Support, and lead customer communication when the SDK is implicated in a production incident.
Deliver named enterprise commitments on schedule: offline guide serving, hybrid app guide delivery, and session replay payload reduction all have dates attached.
Protect at-risk ARR: $3M+ of mobile revenue is exposed to SDK capability gaps across hybrid architectures; partner with CE, CSM, and Sales on renewal-critical accounts.
Own cross-platform unification and developer experience: close hybrid framework gaps, solve cross-surface guide delivery across the native/WebView boundary, and reduce the integration cost for customers' engineering teams.
What they're looking for
- + years of B2B SaaS product management in a multicultural and global organization.
- + years owning an SDK or developer-integrated product as the PM: with command of versioning and release strategy, backwards compatibility and deprecation, adoption across a fragmented installed base, and crash impact on software you do not control. This is a hard requirement.
- Mobile platform fluency: native iOS and Android, and the practical differences between hybrid frameworks from an integration standpoint.
- Demonstrated AI product judgment: you've shipped an AI-powered capability or can reason clearly about where AI improves a workflow versus where it adds noise; you use AI tooling actively in your own work.