Speridian Technologies

HQ
Albuquerque
Total Offices: 18
2,600 Total Employees
Year Founded: 2013

Jobs at Speridian Technologies

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3 Days AgoSaved
In-Office
Denver, CO, USA
Big Data • Cloud • Information Technology • Machine Learning • Consulting • App development • Big Data Analytics
The Sales Executive for Public Sector will drive revenue growth by selling IT services to government agencies, develop relationships, and respond to RFPs.
3 Days AgoSaved
In-Office
Salem, OR, USA
Big Data • Cloud • Information Technology • Machine Learning • Consulting • App development • Big Data Analytics
Speridian Technologies seeks a Sales Executive for the Oregon public sector to develop business opportunities, manage client relationships, and drive revenue growth through strategic sales efforts and proposal responses.
3 Days AgoSaved
In-Office
Olympia, WA, USA
Big Data • Cloud • Information Technology • Machine Learning • Consulting • App development • Big Data Analytics
The Sales Executive will drive revenue by selling IT solutions to government agencies, manage relationships, and respond to procurement opportunities.
7 Days AgoSaved
In-Office
Sacramento, CA, USA
Big Data • Cloud • Information Technology • Machine Learning • Consulting • App development • Big Data Analytics
Drive sales of IT products and services to California state and local government agencies. Build relationships with procurement and IT leaders, respond to RFPs/RFIs, develop strategic sales plans, manage CRM pipeline, collaborate with internal teams, and represent the company at industry events to meet revenue targets.
Big Data • Cloud • Information Technology • Machine Learning • Consulting • App development • Big Data Analytics
Seeking a Sales Executive for the public sector in Hawaii to drive revenue by selling IT solutions to government agencies, leveraging existing relationships and understanding procurement processes.
22 Days AgoSaved
Remote
HI, USA
Big Data • Cloud • Information Technology • Machine Learning • Consulting • App development • Big Data Analytics
Lead discovery workshops, elicit and document functional/non-functional requirements, produce BRDs/FDDs and user stories, manage and prioritize product backlogs, support sprint planning/UAT, and ensure traceability and alignment between stakeholders and delivery teams for public sector health and human services programs.