Braun Board

Agent Solutions Engineer

Bland AI · San Francisco, CA

Base
$120K–$200K
OTE
Not disclosed
Posted
5mo ago

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

What Bland AI sells

Phone agents that answer and solve customer calls

Big companies get so many phone calls that customers often wait a long time to reach help. Bland AI builds voice AI agents that answer those calls, look up account details, and send each caller to the right place. Many calls get solved without a person, so the phone team can focus on harder problems.

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

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The Braun Read

Ask hard questions

Too much is left unsaid. Make them answer before you invest.

Pay
Base is listed but not OTE. Ask what the variable is and how many people hit it.
Transparency
Says nothing about quota, attainment, deal size, territory or sales cycle.
Pipeline
Doesn't say where pipeline comes from. Ask.
Time on market
Open 152 days. Ask why it's been hard to fill.
Company hiring
7 sales roles open, hiring at a steady pace.

Red flags

None spotted.

Worth asking about

  • 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 flags

None spotted.

Based only on what the posting says. Flags 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 OTE, and what did the median rep earn last year?

    Base is what you're guaranteed. OTE and the median show the upside.

  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.

    Where does pipeline come from: inbound, SDRs, or me?

    Tells you how much of your week is prospecting versus selling.

  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.

Josh's top five questions for any sales interview →

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The role

Design, build, and deploy custom AI voice agents for large enterprise customers, from discovery call to production, then drive adoption and expansion within their organizations. Frequent on-site travel required.

Enterprise · Mixed

Selling motion

Mixed

Who you're selling to

Buyer:
Customer engineering, product and operations teamsIn their words: “Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes.”
Company size:
Enterprise

Pipeline expectations

Not stated in the posting.

Compensation

$120K–$200K base

What is not disclosed

This posting doesn't tell you:

  • OTE
  • Quota size
  • Quota attainment
  • Average deal size
  • Territory
  • Sales cycle length

The questions above cover the big ones.

Full posting
Agent Solutions Engineer   ABOUT BLAND AI We’re a Series C startup, and have raised $100 million from Emergence Capital, Y Combinator, Dell Technologies Capital and the founders of PayPal and Twilio. Bland.ai http://Bland.ai builds AI voice agents that handle real phone calls for some of the largest companies in the world. Our software runs inside critical workflows at companies like Samsara, Gallup, TripAdvisor, Snapchat, Signant Health, Better.com http://Better.com, and others.   WHY THIS ROLE EXISTS Every customer is different — the problems they’re solving, the data they have, and the impact they want to create with AI. We’re looking for someone who thrives in that ambiguity, who can take fuzzy goals and transform them into working, production-ready agents that deliver real value. You’ll work directly with customers to understand their workflows, build tailored agents, and help shape how Bland is adopted across their organization.   What You’ll Do - Design and deploy AI solutions. Work closely with customers to translate their challenges into functional agents, integrating APIs and data sources to automate real business processes. - Prototype fast, iterate faster. Build the first version quickly, get it into production, and refine based on real-world feedback. - Collaborate deeply. Partner with customer teams across engineering, product, and operations to ensure the agent performs, scales, and delivers measurable outcomes. - Own end-to-end delivery. From discovery call to deployment, you’ll lead the technical build, testing, and iteration — ensuring the experience feels natural, human, and on-brand. - Drive adoption and expansion. Share results, train teams, and embed yourself within the customer organization to uncover new opportunities for automation and scale. - Be the face of Bland. You are the customer’s champion, their best employee, and you treat them with unreasonable hospitality. You travel on-site, get to know our customers on a human level, and develop real relationships with our champions and other stakeholders, going above and beyond to host training sessions and dinners. MUST-HAVE QUALIFICATIONS - 3–10 years of experience in full-stack, AI, or solutions engineering roles where you owned builds from concept to production. - Proven experience building and integrating AI or automation features into real-world applications. - Hands-on experience integrating LLMs or AI SDKs into web applications. - Strong comfort working with REST/JSON, scripting languages (Python or JavaScript), and modern dev tools (Git, NPM/PNPM). - Track record of ownership and grit — moments where you built something from scratch, solved hard problems, or exceeded expectations. - Excellent communication skills — you can explain complex AI concepts clearly to both technical and non-technical audiences. - Thrives in a fast-moving, high-intensity environment — motivated by challenge, curiosity, and the pursuit of great work. - Willingness to work in-person frequently (SF HQ and customer sites) to collaborate and accelerate learning. NICE-TO-HAVES - Hands-on experience experimenting with or deploying LLM-powered tools or agents. - Prior startup or founder experience — you know what it takes to build without a playbook. - Curiosity about AI agent design, orchestration, and automation systems. - Experience working directly with customers to identify pain points and turn them into shipped solutions. - A portfolio of personal or side projects that showcase creativity, technical depth, and persistence. - Exceptional new grads with strong ownership and ambition are welcome to apply. WHY YOU'LL LOVE WORKING HERE You’ll be joining one of the fastest-moving AI teams in the world — where speed, creativity, and ownership are the default. You’ll ship real agents used by real customers, working directly with teams that are transforming how humans and AI collaborate. This role is perfect for someone who loves building, learning, and pushing boundaries a hands-on candidate who wants to see their work in the wild, solving real problems for real people.   RELENTLESSNESS IS THE MOST IMPORTANT QUALITY - If you think you’re missing relevant experience but you’re a fast learner who’s excited for a new challenge – and you have the intangibles our team is looking for – please reach out. As long as you’re resourceful and a fast learner (and you can prove it to our team) we would love to meet you. 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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