Evolver

HQ
Reston
Total Offices: 2
1,000 Total Employees
Year Founded: 2000

Evolver Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers supplemental life insurance

Offers life insurance

Offers dental insurance

Offers health insurance

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers performance bonuses

Career Growth + Development

Provides customized development tracks

Work-Life Balance + Wellbeing

Offers generous PTO

Company Culture

Offers diversity-based Employee Resource Groups

Recently posted jobs

YesterdaySaved
Remote
USA
Artificial Intelligence • Information Technology • Cybersecurity • Defense
Leads end-to-end customer contracting, including drafting, redlining, and negotiating MSAs, SOWs, order forms, amendments, and NDAs. Manages vendor onboarding, security questionnaires, due diligence, contract governance, and RFP/RFI responses. Partners with Legal, Sales, Product, Engineering, and Delivery teams while maintaining contract records and advising on commercial operations tools. This fully remote individual contributor role requires strong contractual judgment, autonomy, and occasional travel.
5 Days AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Information Technology • Cybersecurity • Defense
Lead and build the QA function for an enterprise AI platform. Define quality strategy, release criteria, automation frameworks, CI/CD testing, and evaluation methods for LLM-powered features. Test APIs, backend services, data pipelines, applications, and realistic enterprise data. Mentor and grow a distributed QA team, collaborate cross-functionally, translate customer feedback into preventive tests, and make release-readiness decisions while remaining hands-on with automation and AI quality evaluation.
One Month AgoSaved
In-Office
Palo Alto, CA, USA
Artificial Intelligence • Information Technology • Cybersecurity • Defense
Develop mathematical and computational methods to quantify information, uncertainty, redundancy, information loss, and the value of additional evidence in complex enterprise data. Apply information theory, Bayesian inference, statistics, and probabilistic modeling to build algorithms, prototypes, benchmarks, and evaluation methods for information-aware AI systems. Collaborate with research, engineering, and product teams to translate theoretical methods into practical systems.