Jobs at Upgrade, Inc.

542,651 open positions

Upgrade, Inc. is a San Francisco‑based fintech that delivers personal loans through a data‑driven digital platform. The company uses machine‑learning algorithms to evaluate credit risk and offers instant funding, setting it apart in the consumer‑loan market.

The firm hires across software engineering, data science, product management, risk, compliance, design, marketing, and sales. Employees benefit from a hybrid work model, a culture that rewards analytical problem‑solving, and the chance to shape product roadmaps in a high‑growth environment.

Job Transparency displays Upgrade, Inc.’s salary ranges and employee sentiment in real time, enabling candidates to compare offers, spot competitive pay, and gauge workplace satisfaction before applying.

Director of Marketing (Safety)

Company: Draeger, Inc.

Location: Houston, TX

Posted Oct 04, 2025

Develop, implement and lead the business field strategy and support Sales & Service leadership to achieve annual sales and profitability objectives for defined…

Welder II - and III

Company: Continental Tide Defense System INC.

Location: Lincoln Acres, CA

Posted Oct 05, 2025

Must be able to select required welding filler materials, joint design, heat ranges and most effective or required welding process/procedure to ensure quality…

Frequently Asked Questions

What is it like to work at Upgrade, Inc.?
Upgrade, Inc. fosters a collaborative, data‑centric culture where teams cross‑function to solve real‑world financial problems. Employees enjoy flexible schedules, equity packages, and a focus on continuous learning and mentorship.
What types of positions are available at Upgrade, Inc.?
Roles span software engineering (backend, frontend, mobile), data science, product, risk management, compliance, design, marketing, sales, and operations, all geared toward building a next‑generation lending platform.
How can I stand out when applying to Upgrade, Inc.?
Showcase measurable impact in past projects, highlight fintech or credit‑risk experience, provide code or data‑analysis samples, and demonstrate familiarity with AI/ML or regulatory frameworks. Tailoring your résumé to the company's data‑driven mission helps you stand out.

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