Esper
Technical Implementation Manager
Bellevue, WA
Sponsorship not specified$10k-$15kDetected 51 days ago
AndroidAgentic AIForecastingCustomer Success
About the role
- The Technical Implementation Manager is the technical backbone of Esper's customer accounts.
- Together, they close the gap between contract sign and devices live, remove friction, resolve blockers, and connect the customer's operational reality to Esper's platform.
Responsibilities
- accelerating implementation workflows, building automation and integration tooling, identifying optimal technical solutions, generating account insights, and forecasting customer behavior.
- Some of the world's most innovative brands, like Google, Doordash, Taco Bell, Clinical ink, SF 49ers, and Intelity, rely on Esper to deliver exceptional device experiences.
- Esper partners with the leading mobile device hardware manufacturers, solution providers, and distributors globally.
- This is an engineering role with a customer axis: TIMs own the implementation from contract sign through full fleet scale, and they bring engineering-level depth to every customer engagement.
Nice to have
- Android/AOSP experience (device management, firmware, provisioning, build systems) Experience with MDM/EMM/UEM platforms Experience working with hardware ecosystem partners (OEMs,
Skills
- TIMs operate as forward-deployed technical experts alongside the Enterprise Account Manager.
- AI is not a side skill at Esper.
- TIMs are expected to use agentic
Compensation
- $10k-$15k
Company info
- The ability to build practical AI components that create real value for customers and the team is a core part of this role.
- Technical Implementation and Delivery Own end-to-end device implementations from onboarding through full fleet rollout, including the project plan, escalation path, and all technical blockers Get hands-on with devices, MDM software, and platform configuration; train customers to operate Esper independently
This listing is sourced directly from Esper's careers page and normalized into a canonical job model.