Obviant delivers a data intelligence platform that streamlines defense acquisition and go‑to‑market strategies. By mapping the entire acquisition landscape, the platform makes it simple to track budgets, programs, and the key decision‑makers within the Department of Defense. Its real‑time insights enable procurement professionals to navigate complex procurement processes with greater clarity and speed. This focus on comprehensive, actionable data distinguishes Obviant as a pivotal tool for defense contractors seeking efficient market entry and operational advantage.
Open Positions
Engineering Manager
10+ years of engineering experience, strong technical depth, and excellent communication skills required
Product Manager
5+ years of product management experience, strong track record of owning products, and excellent communication skills
Product Designer (UI/UX)
3+ years of experience in UI/UX design, interaction design, or product design roles. Strong design portfolio. Proven experience taking products from 0→1
DevOps Engineer
3+ years of cloud infrastructure experience, containerization, and infrastructure as code
Mission Success - Commercial
5+ years of experience in customer success, consulting, program management, or strategic operations, with a proven track record of managing multiple accounts and delivering operational outcomes
Mission Operations Lead
5+ years of experience in technology deployments, program management, or mission support for defense, intelligence, or government clients
Senior Full-Stack Engineer / Architect
5+ years of full stack experience, drive to understand users, and track record of owning features end-to-end
GTM - Commercial
4+ years of sales experience, knowledge of defense acquisition process, and ability to communicate effectively
Data Engineer
2+ years of ETL/ELT pipeline experience, data extraction, and scalable data schema design
Artificial Intelligence/Machine Learning (AI/ML) Engineer
5+ years of experience in building and deploying ML models, strong background in machine learning and deep learning methodologies, demonstrated experience in applied research and development
+12 More Jobs Available!
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