---
title: 'Agent Solutions Engineer at Bland'
canonical: 'https://feeny.ai/job/agent-solutions-engineer-bland-san-francisco-jnzxhz1j9rr7'
type: 'job'
last_seen: '2026-10-15'
---

# Agent Solutions Engineer at Bland

- **Company:** Bland
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-05-28
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/bland/824f7ebb-6d71-4484-bc7d-a2bcd4441a70

## Job description

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.

## About Bland

## Company Overview
- **One-liner**: Bland provides an enterprise voice AI platform for building, deploying, and monitoring AI phone agents that hold natural conversations at scale.
- **Entity Type**: Private (Series C, over $100M raised)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2023
- **Founders**: Isaiah Granet and a second co-founder (Y Combinator Summer 2023 batch)

## Core Business
- **Primary industry**: AI voice agents / enterprise AI infrastructure
- **Target customers**: Large enterprises, regulated industries (healthcare, finance, insurance, etc.) – B2B
- **Mission**: To automate phone calls that previously required a human, with security and trust built from the ground up.

## Products & Services
- **Bland Voice AI Platform (SaaS / On‑premises)**: A full‑stack platform combining custom speech‑to‑text, large language model (LLM), text‑to‑speech, and telephony. Supports inbound and outbound calls across voice, SMS, iMessage, and web chat. Unified memory across channels and real‑time observability.
- **Conversational Pathways**: A proprietary programming language that enables users to create branching, deterministic call flows to reduce hallucinations.
- **Forward Deployed Engineering**: Professional services that build the first production agent end‑to‑end in 2–6 weeks, integrating with the customer’s CRM, telephony, and scheduling tools.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (latest round: Series C)
- **Key Metric (Funding)**: Over $100M total raised (Series C announced in 2025)
- **Notable Investors/Partners**: Y Combinator (S23), Team Ignite Ventures, Max Levchin (PayPal co‑founder), Jeff Lawson (Twilio co‑founder)
- **Growth Signals**: 522M+ calls resolved to date, 47M+ calls per month, ~100 employees, $2M ARR achieved within four months of the initial pivot. Certifications include SOC 2 Type II, HIPAA, PCI DSS v4.0, and GDPR – enabling adoption in highly regulated verticals.

## Competitive Advantages
- **Full‑stack ownership**: Bland built its own voice models, LLM, text‑to‑speech, and speech‑to‑text – not a wrapper around third‑party APIs. This provides lower latency (~400ms) and full control over model behavior.
- **Compliance‑first design**: SOC 2, HIPAA, PCI DSS, and GDPR out of the box. Self‑hosted and on‑premises deployments available for sensitive workloads.
- **Proprietary orchestration**: The Conversational Pathways language allows deterministic, auditable call flows that reduce hallucination risk.
- **Rapid deployment**: Typical go‑live in 30 days with dedicated Forward Deployed Engineer support.

## Strategic Focus
- **Regulated industries**: Deepening traction in healthcare, financial services, and insurance where compliance and data residency are critical.
- **Global expansion**: Multi‐language support (40+ languages, real‑time translation in 23) and data residency options in US, EU, and APAC.
- **Channel expansion**: Unifying agent memory across voice and messaging to offer a single omnichannel AI assistant.

## Why Work Here
- **Culture**: “We hire for obsession, not pedigree.” Emphasis on work ethic, accountability, and direct ownership. Flat structure with minimal approval chains (“No committees. No approval chains. Ship the right thing, measure the result, iterate.”)
- **Engineering focus**: The company built its own models and infrastructure – ideal for engineers who want to work on frontier AI problems rather than stitching together APIs.
- **Location & flexibility**: Based in San Francisco with remote (US) options for some roles. The office environment is startup‑intense; the co‑founder famously slept on a closet floor during the early pivot.
- **Notable perks**: Not explicitly listed, but the company highlights a “build it yourself” ethos, early‑stage equity, and direct impact on a product that processes tens of millions of calls per month.

## Sources
1. [bland.com](https://www.bland.com/)
2. [bland.ai](https://www.bland.ai/about)
3. [ycombinator.com](https://www.ycombinator.com/companies/bland-ai)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/bland)

## Other roles at Bland

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