About this role
The Partner Success Manager position at Bland in San Francisco is a full-time post-sales role focused on leading enterprise partners through successful onboarding, technical implementation, and long-term value realization. This opportunity suits an experienced, commercially minded technical professional who thrives in a fast-paced startup environment and excels at driving measurable business outcomes across complex partner networks.
Role Overview
This position involves managing the technical post-sale lifecycle for a dedicated portfolio of partners. The individual in this role will guide partners from initial onboarding and go-live deployment to ongoing adoption, strategic business reviews, renewals, and expansion. By bridging technical implementation and enterprise relationship management, the Partner Success Manager ensures clean, repeatable execution while turning technical complexity into measurable return on investment.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Bland is an enterprise voice AI platform founded by Sobhan Nejad and Isaiah Granet in San Francisco. The company built its proprietary stack completely from scratch to eliminate traditional industry challenges like high latency, unreliability, and limited complexity handling. By operating its own transcription, LLM, and text-to-speech technologies in-house, Bland provides the strict uptime, security, and customization standards demanded by regulated enterprise operators.
How to Apply
Interested candidates should visit the official Bland careers page to submit an application and complete the required onboarding and verification steps.
Skills and tech stack
Questions candidates ask
Where is the Partner Success Manager position located?
The role is based in San Francisco, with expectations to work on-site and travel to partner and customer locations as needed.
How many years of experience are required for this role?
Candidates must have 5 or more years of experience in technical customer-facing or partner-facing roles.
What technical skills are needed for the job?
Key technical requirements include API and integration fluency with REST and JSON, log analysis, SQL proficiency, and a strong technical foundation.
What benefits and compensation are provided?
Compensation includes performance-based upside tied to retention and expansion, meaningful equity in a high-growth AI company, a full benefits package, and travel opportunities.
What does Bland AI specialize in?
Bland builds an enterprise voice AI platform that autonomously resolves inbound calls, handling multi-step workflows, authentication logic, routing, and live data lookups.
