Possible Finance

HQ
Seattle
140 Total Employees
50 Product + Tech Employees
Year Founded: 2017

Possible Finance Offices

Possible Finance is headquartered in Seattle.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Headquartered in Seattle, we offer a hybrid work environment — three days a week in office — with a strong focus on digital collaboration. Seattle-based team members enjoy commuter benefits, lunch on in-office days, and a prime downtown location.

Typical time on-site: 3 days a week

U.S. Office Locations

HQ
Seattle

Seattle HQ

Located in the heart of downtown Seattle at 4th & Pike, we're steps from Pike Place Market, the waterfront, world-class restaurants, and some of the city's best coffee. A vibrant, walkable neighborhood with easy access to public transit from every direction.

YesterdaySaved
Hybrid
Seattle, WA, USA
Big Data • Consumer Web • Fintech • Mobile • Payments • Social Impact • Financial Services
Design, build, and maintain high-performance backend microservices using Java, Spring, gRPC, and protobuf. Lead technical projects, mentor engineers, collaborate cross-functionally, integrate AI technologies, own production incidents, and ship scalable consumer-facing features on AWS.
YesterdaySaved
Hybrid
Seattle, WA, USA
Big Data • Consumer Web • Fintech • Mobile • Payments • Social Impact • Financial Services
Lead product marketing for a multi-product consumer fintech platform: build competitive intelligence, define pricing/tiering, own positioning and GTM, drive adoption and retention using qualitative and quantitative insights, and partner cross-functionally with Product, Research, and leadership to influence strategy and launches.
3 Days AgoSaved
Hybrid
Seattle, WA, USA
Big Data • Consumer Web • Fintech • Mobile • Payments • Social Impact • Financial Services
Lead end-to-end lifecycle marketing for new-user growth across email, push, in-app, and SMS. Develop strategy, segmentation, testing frameworks, and campaign roadmaps; partner with Data Science, Product, and Creative to personalize and scale programs using automation and AI. Execute experiments, optimize performance, and present results to senior leadership.