Partner Success Manager
About The Position
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 building out a partner ecosystem across financial services, healthcare, insurance, travel, telecommunications, and large-scale call center operations. As partners onboard, launch, and scale their end-customer deployments on Bland, Bland needs a technical post-sales leader to make sure they are enabled quickly, launches stay on track, outcomes are measurable, and technical complexity turns into clean, repeatable execution across the partner network.
Requirements
- 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
- Willing and excited to work from San Francisco and travel to partner and customer sites as needed
Nice To Haves
- Background in voice AI, conversational AI, CPaaS, CCaaS, UCaaS, contact center software, customer experience, or channel/partner ecosystem management
- Experience managing partner or customer accounts in highly regulated industries such as financial services, insurance, healthcare, or telecommunications
- Experience supporting renewals, expansion, or commercially oriented post-sales motions
- Experience at a Series A–C company helping build partner success, onboarding, or customer success playbooks from scratch
- Experience working with partner or enterprise customer organizations where C-level stakeholders are actively involved post-sale
Responsibilities
- Own the technical post-sale relationship for a portfolio of partners, driving them from onboarding through go-live, adoption, business review, renewal, and expansion
- Identify, evaluate and onboard new service partners
- Ensure partners launch quickly, hit measurable go-live timelines, and see clear ROI from Bland's AI agents
- Diagnose implementation blockers before they become major partner or customer risks
- Partner closely with forward-deployed engineers, product, sales, and implementation teams to troubleshoot issues, accelerate resolutions, and keep partners successful in production
- Build partner enablement plans that map use cases, technical requirements, go-live milestones, KPIs, risks, value realization, and expansion opportunities
- Educate partners on best practices, new features, and optimization strategies that help them get more value from Bland
- Own monthly and quarterly business reviews (MBRs/QBRs) and executive briefings focused on outcomes, ROI, usage, risks, and the results their customers are seeing
- Identify expansion opportunities based on new use cases, call volume, operational pain, product usage, partner feedback, and measurable ROI
- Support renewal cycles either independently or in partnership with AEs / commercial owners
Benefits
- Performance-based upside tied to retention, renewals, and expansion
- Meaningful equity in a high-growth, well-funded AI company
- Full benefits package
- Regular partner and customer travel expected
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
