--- title: 'Financial Analyst at Bland' canonical: 'https://feeny.ai/job/financial-analyst-bland-san-francisco-kmqj4dffxb4f' type: 'job' last_seen: '2026-09-10' --- # Financial Analyst at Bland - **Company:** Bland - **Location:** San Francisco, CA - **Compensation:** $80k–$135k - **Employment:** full-time - **Posted:** 2026-07-21 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.ashbyhq.com/bland/2ae3b8f9-2856-4e28-a0d0-8b2b1081e32c ## 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, helping with budgeting and forecasting, and improving the systems the company uses to make decisions. You’ll partner closely with accounting, sales, and operations to ensure leadership has accurate data and actionable insights. You will work across teams and functions and will regularly interact with leadership. Because the finance function is largely unbuilt, there is direct visibility into how decisions are made and how the business operates. You will see the full picture earlier than most people in their careers. Over time, as you build trust and ownership, this role can expand significantly. You may take on larger projects, help define processes, or move into more strategic finance or operations work. Ideal Candidate Profile / Role Requirements 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. Must-Have Experience - Bachelors degree in Finance, Economics, or a related track - Strong financial foundation, including comfort in Power BI, Excel, and other tools - Highly self-directed — does not need heavy management or a fully built playbook to be effective Nice-to-Have Experience - 1+ years experience in IB (Tech focus preferred), in a finance role at a high growth start-up, or an equivalent role - Experience with accounting, FP&A, and revenue recognition - Experience with M&A or strategic financial projects ## Compensation & Benefits - Salary range is 80,000 to 135,000 dollars depending on experience. - Equity range is 50,000 to 150,000 dollars. - Health insurance, dental, vision, and a 401K is provided. - Unlimited PTO. This is a role for someone with energy, curiosity, strong technical instincts, and a real give a f*ck factor who wants to build something real and grow fast while doing it. This is a full-time, in-person role based in San Francisco. Candidates must already be authorized to work in the United States. ## 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 - [Machine Learning Intern](https://feeny.ai/job/machine-learning-intern-bland-san-francisco-kkfd0gny0xrn) — San Francisco, CA - [Product Designer](https://feeny.ai/job/product-designer-bland-san-francisco-81j89tzf6sj4) — San Francisco, CA - [Events Marketer](https://feeny.ai/job/events-marketer-bland-san-francisco-tjs0awvzs3js) — San Francisco, CA - [Brand Designer](https://feeny.ai/job/brand-designer-bland-san-francisco-43wftqk489g6) — San Francisco, CA - [Accounting Manager](https://feeny.ai/job/accounting-manager-bland-san-francisco-dkew6fr8jqnx) — San Francisco, CA - [Enterprise Solutions Engineer](https://feeny.ai/job/enterprise-solutions-engineer-bland-san-francisco-cy9ktjta2e80) — San Francisco, CA - [Demand Gen Lead](https://feeny.ai/job/demand-gen-lead-bland-san-francisco-g22y3nxqfct2) — San Francisco, CA - [Partner Success Manager](https://feeny.ai/job/partner-success-manager-bland-san-francisco-ns0cqk4yfyk3) — San Francisco, CA - [Agent Solutions Engineer](https://feeny.ai/job/agent-solutions-engineer-bland-san-francisco-jnzxhz1j9rr7) — San Francisco, CA - [Machine Learning Researcher, Multimodal LLMs](https://feeny.ai/job/machine-learning-researcher-multimodal-llms-bland-san-francisco-wepqxv9kf2tm) — San Francisco, CA