Backed by Y Combinator.
About the role
Objective: Own the post-sale technical partner journey by driving successful go-lives, measurable business outcomes, partner health, executive alignment, renewals, and expansion opportunities across Bland's partner network. 1. Own the technical post-sale relationship for a portfolio of partners, driving them from onboarding through go-live, adoption, business review, renewal, and expansion
What they're looking for
- • 5+ years in technical customer- or partner-facing roles such as Partner Success Manager, Technical Account Manager, Technical CSM, Solutions Architect, Customer Engineer, Implementation Lead, or similar
- • Experience owning post-sale success and outcomes for enterprise partners or customers
- • Strong technical foundation, ideally with CS / engineering exposure or equivalent hands-on technical experience
- • API and integration fluency, including comfort with REST / JSON, logs, SQL, and production systems
- • Experience diagnosing complex technical blockers and driving partner-facing escalations to resolution
- • Highly self-directed — does not need heavy management or a fully built playbook to be effective
More about this role
Partner Success Manager
Bland AI is the voice AI platform built for enterprises with high-volume, complex call center operations. Founded by Sobhan Nejad and Isaiah Granet in San Francisco, Bland started by solving the core infrastructure problem that made voice AI unusable for business: latency, reliability, and the inability to handle real-world complexity. Where early voice AI took 7 seconds to respond and could only handle basic FAQs, Bland built the entire stack from scratch.
Today, Bland's platform fully resolves up to 65% of inbound calls autonomously – handling not just FAQs, but multi-step workflows, authentication logic, business-rule-based routing, and live data lookups. For large call center operators, each percentage point of resolution Bland drives is worth $500K–$1M+ per year in savings. Bland's biggest technical differentiator: they own and operate the entire voice AI stack in-house – transcription, LLM, and TTS – rather than relying on third-party API providers. This is a deliberate architectural choice that enables the uptime guarantees, data security standards, and customization depth that regulated industries require.
Bland is moving rapidly upmarket and...
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