Braun Board

Director of SI Partnerships

Bland AI · San Francisco, CA

Base
Not disclosed
OTE
$140K–$220K
Posted
3mo ago

Still open · checked 2h agoon Bland AI's careers page

What Bland AI sells

AI phone agents that handle customer calls for big companies

When a company gets a flood of customer calls, it usually staffs a call center to answer every one. The problem is, many of those calls are simple questions that tie up people who could handle harder ones. Bland AI builds voice agents that answer real phone calls and look up account details, so most calls get solved without a person picking up.

In plain English, from their own job posts. Something wrong? Tell us

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The Braun Read

Worth a look

Solid on the basics. Use the first call to fill in the gaps.

Pay
OTE is listed. Ask what the base is.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
A mix of self-sourced pipeline and inbound or SDR help.
Time on market
Open 112 days. Ask why it's been hard to fill.
Company hiring
9 sales roles open, hiring at a steady pace.

Red lights

None spotted.

Yellow lights

  • Open 90+ days. This role has been posted for three months or more. Ask why it's been hard to fill, and whether anyone left it.

Green lights

  • Publishes OTE. It tells you the on-target earnings up front. Most postings don't.

Based only on what the posting says. Lights are a starting point for your first call, not a final judgment.

Questions to ask on the first call

Built from what this posting leaves out. How they answer tells you as much as what they say.

  1. 1.

    This role has been open a while. What's made it hard to fill?

    The answer tells you what candidates saw that made them walk.

  2. 2.

    What percentage of fully ramped reps hit quota last year?

    OTE is what you could earn. This is how likely you are to earn it.

  3. 3.

    What's the base, and how is the rest paid out?

    OTE without a base doesn't tell you what you can count on.

  4. 4.

    What's the annual quota, and how was it set?

    A quota built from real data is a target. Otherwise it's a hope.

  5. 5.

    How long is ramp, and what's the quota during it?

    Full quota on day one means you start behind.

  6. 6.

    Why is this role open? Did someone leave, or is it new?

    New headcount is growth. A replacement means someone left. Ask why.

When the offer comes

Save these for later. They land better once they've said yes to you.

  1. 1.

    Can I see the full comp plan in writing, including clawbacks and accelerators?

    What's in writing is what gets paid. Read it before you sign.

  2. 2.

    Can I see the actual comp distribution for the team last year, not just the OTE?

    The spread shows what most reps really take home. OTE is just the target.

  3. 3.

    I'd be walking away from earned commission to join. Is there room for a sign-on bonus to help cover that?

    Leaving money behind is a fair reason to ask. The worst answer is no.

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The role

Post-sale technical lead for Bland's SI partner network, driving partner go-lives, outcomes, QBRs, renewals, and expansion. Also helps identify and onboard new service partners.

Enterprise · Partnerships

Selling motion

Channel

Who you're selling to

Buyer:
Service integrator and channel partnersIn their words: “Identify, evaluate and onboard new service partners”
Industry:
Financial services, healthcare, insurance, travel, telecommunicationsIn their words: “building out a partner ecosystem across financial services, healthcare, insurance, travel, telecommunications, and large-scale call center operations”
Company size:
Enterprise

Pipeline expectations

A mix of self-sourced pipeline and inbound / SDR support.

Compensation

$140K–$220K OTE

What is not disclosed

This posting doesn't tell you:

  • Base salary
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
About Bland AI 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.   Why This Role Matters 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.   Role Overview Objective: Own the post-sale technical partner ecosystem by driving successful go-lives, measurable business outcomes, partner health, executive alignment, renewals, and expansion opportunities across Bland's partner network.   Core Responsibilities 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 2. Identify, evaluate and onboard new service partners 3. Ensure partners launch quickly, hit measurable go-live timelines, and see clear ROI from Bland's AI agents 4. Diagnose implementation blockers before they become major partner or customer risks 5. Partner closely with forward-deployed engineers, product, sales, and implementation teams to troubleshoot issues, accelerate resolutions, and keep partners successful in production 6. Build partner enablement plans that map use cases, technical requirements, go-live milestones, KPIs, risks, value realization, and expansion opportunities 7. Educate partners on best practices, new features, and optimization strategies that help them get more value from Bland 8. Own monthly and quarterly business reviews (MBRs/QBRs) and executive briefings focused on outcomes, ROI, usage, risks, and the results their customers are seeing 9. Identify expansion opportunities based on new use cases, call volume, operational pain, product usage, partner feedback, and measurable ROI 10. Support renewal cycles either independently or in partnership with AEs / commercial owners   Ideal Candidate Profile / Role Requirements We're looking for a high-ownership, commercially oriented Director of SI Partnerships who can live at the intersection of customer success, technical implementation, and enterprise relationship management. This person should be deeply partner-obsessed, technically sharp, and comfortable owning outcomes in a fast-moving startup environment.   Must-Have Experience • 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 • 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   Nice-to-Have Experience • 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   Compensation & 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 Additional Information Bland is an equal opportunity employer. We are committed to proving equal employment opportunities to all qualified applicants and employees and do not discriminate based on any legally protected characteristic. Bland participates in the E-Verify employment verification program. All new hires are required to complete the Form I-9, and employment will be verified though E-Verify as part of the onboarding process.
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