Upside

HQ
Washington
Total Offices: 4
275 Total Employees
Year Founded: 2016
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Upside Offices

Upside is headquartered in Washington and has 4 office locations.

Hybrid Workplace

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

Typical time on-site: 3 days a week

U.S. Office Locations

HQ Washington Austin Chicago New York
HQ

Washington

450 Massachusetts Avenue, Washington, DC, United States, 20001

Austin

816 Congress Ave, Suite 710 , Austin, TX, United States, 78701

Chicago

330 N Wabash Ave, Chicago, IL, United States, 60611

New York

7 W 18th Street , New York, NY, United States, 10011

Recently posted jobs

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Upside

Engineering Manager, Reconciliation

28 Minutes AgoSaved
Hybrid
4 Locations
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Lead a full-stack Reconciliation team owning transaction-matching pipelines across mobile and backend systems. Drive reliability, observability, and accuracy for post-claim flows, coach and grow engineers, contribute hands-on in high-leverage technical areas, partner cross-functionally, and scale systems and processes to improve transaction success and user trust.
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Upside

Senior HR Business Partner

5 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Partners with managers across multiple teams to provide HR guidance, coach on performance and development, manage employee relations, analyze people trends, support talent programs and organizational change, and strengthen employee experience, culture, and inclusion. The role collaborates with People & Workplace leaders and requires occasional travel. It is hybrid in New York City with in-office attendance three days per week.
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Upside

AI Enablement Lead

8 Days AgoSaved
Hybrid
4 Locations
Artificial Intelligence • Fintech • Machine Learning • Mobile • Payments • Retail • Software
Own the Ascent AI enablement platform roadmap across engineering and enterprise programs. Prioritize shared infrastructure, define specifications, close capability gaps, measure maturity, and connect AI usage to business value. Partner with engineering teams without direct authority, communicate roadmap decisions to technical and nontechnical stakeholders, and stay hands-on with AI coding agents and developer tools.
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