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About the Role

This role is foundational, sometimes repetitive, and often unstructured, offering a unique opportunity to learn how a startup operates. You will support compensation plans and commissions, build reporting and dashboards, analyze bookings and revenue trends, assist with budgeting and forecasting, and improve decision-making systems. You will partner closely with accounting, sales, and operations, interacting regularly with leadership and gaining visibility into business operations and decision-making processes. The role offers significant expansion potential over time.

Responsibilities

Support compensation plans and commissions
Build reporting and dashboards
Analyze bookings and revenue trends
Assist with budgeting and forecasting
Improve systems used for decision-making
Partner closely with accounting, sales, and operations
Ensure leadership has accurate data and actionable insights
Work across teams and functions
Regularly interact with leadership

Requirements

Strong organization skills
Comfort working in low context environments
Ability to identify and execute the right next step
Comfort with ambiguity
Strong problem-solving instincts
Willingness to do unglamorous work well
Ability to treat small details seriously
Pride in making things work

Skills

Power BI
Excel

Location

San Francisco

Work Type

In person
Full-time

Experience Level

Early in career

Education Level

Bachelors degree in Finance, Economics, or a related track

Salary/Compensations

80,000 to 135,000 dollars

Benefits

Health insurance
Dental
Vision
401K
Unlimited PTO
Equity

About the Company

Bland AI is the voice AI platform built for enterprises with high-volume, complex call center operations.
Bland AI's platform resolves up to 65% of inbound calls autonomously, handling multi-step workflows, authentication logic, business-rule-based routing, and live data lookups.
Each percentage point of resolution Bland drives is worth $500K–$1M+ per year in savings for large call center operators.
Bland owns and operates the entire voice AI stack in-house (transcription, LLM, and TTS), enabling uptime guarantees, data security standards, and customization depth required by regulated industries.