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Federal Contracting Solutions Strategiest – SME

Federal Contracting Solutions Strategiest – SME

CompanyVultron
LocationSan Francisco, CA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
Degrees
Experience LevelSenior, Expert or higher

Requirements

  • 5–10 years of experience in Federal, State, and Local government contracting, with a strong grasp of public sector procurement dynamics.
  • Deep understanding of the complexities of government acquisition, contract execution, and compliance frameworks across both civilian and defense agencies.
  • Skilled in interpreting and applying federal regulations, including FAR, DFARS, and agency-specific guidelines, to ensure successful, compliant contract delivery.
  • Exceptional communication skills, with the ability to translate complex technical concepts into clear, accessible language for diverse audiences.
  • Proven track record of thriving in collaborative, fast-moving environments, with a strong learning orientation and openness to modern product management methodologies.
  • Strong analytical and problem-solving capabilities, grounded in a customer-centric approach to decision-making.
  • Solid understanding of applied AI technologies; bonus points for hands-on experience in evaluating, testing, or refining AI outputs for quality and relevance to customer needs.

Responsibilities

  • Work with product teams to assess AI outputs for quality, relevance, and accuracy, ensuring they meet user needs and align with the broader product strategy.
  • Collaborate closely with product managers, AI engineers, and designers to integrate AI capabilities into broader product features.
  • Learn and apply product management frameworks to assist in managing AI features through the entire product lifecycle— from concept to deployment.
  • Support the product team in identifying customer pain points, conducting user interviews, and analyzing market trends.
  • Provide actionable feedback on AI prototypes and models through iterative testing.
  • Define quality standards for AI model outputs and create benchmarks for performance evaluation.
  • Assist product and engineering teams in the operationalization of AI features, including deployment, performance tracking, and post-launch refinement.

Preferred Qualifications

  • San Francisco bay area preferred