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Financial Analyst

BlandSan Francisco
Full-time3-7
$80k - $135k
per year
👁️ 0 views📝 0 applicationsPosted 7/21/2026Expires 9/2/2026

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Job Description

About Bland AI 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. Why This Role Matters We are roughly 80 people today and operate with a very lean internal team. There is currently one person in finance.

This role exists because the company needs someone who can help build the financial and operational foundation as we grow. This is not the most glamorous role and it is not narrowly defined. You will do a lot of everything. The work is foundational, sometimes repetitive, and often unstructured.

It is also one of the best ways to learn how a startup actually works.

Role Overview

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. Much of your time will be spent supporting compensation plans and commissions, building reporting and dashboards, analyzing bookings and revenue trends