Startups · AI

Financial Analyst

Bland AI · San Francisco · On-site

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About Bland AI

Backed by Y Combinator.

About the role

Day to day, this role requires strong organization and comfort working in low context environments. Often, you will be given problems, not instructions. You will regularly need to figure out what the right next step even is before executing.

What they're looking for

  • This role is for someone early in their career who wants responsibility and learning over polish and prestige
  • You should have some exposure to finance, accounting, operations, consulting, or a related field, but deep experience is not required. What matters more is that you care, you are capable, and you follow through
  • You should be comfortable with ambiguity. Startups are chaotic. Things change. Systems are imperfect. You should be energized by that rather than frustrated by it
  • You should have strong problem solving instincts and be willing to do unglamorous work well. The people who succeed here are the ones who treat small details seriously and take pride in making things work
  • • Bachelors degree in Finance, Economics, or a related track
  • • Strong financial foundation, including comfort in Power BI, Excel, and other tools
More about this role

Bland AI is the voice AI platform built for enterprises with high-volume, complex call center operations. 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.

We are roughly 80 people today and operate with a very lean internal team. There is currently one person in finance. This role...

Read the full posting on Bland AI's site ↗

Finance

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