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Senior Technology Leader

Senior Technology Leader

Company10pearls
LocationVienna, VA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
Degrees
Experience LevelExpert or higher

Requirements

  • Client facing consulting or service firm experience required
  • 15+ years of experience in areas including Engineering & Architecture, Product Development, UX, and Data science
  • Demonstrated leadership within a technical product development team
  • Knowledgeable and conversant in full-stack ecosystem, platforms (SalesForce, Appian, etc.), cloud solutions (AWS, Azure, Google Cloud etc.), and best practices in software development (e.g. DevSecOps, continuous release, agile, automated quality assurance / SDET)
  • Practical working knowledge of AI/ML; First-hand experience with Generative AI, LLM, Neural Networks and Data Science is preferred
  • Working knowledge of information security principles and best practices for all aspects of software development process
  • Awareness of industry issues and trends, and the ability to incorporate these in future projects, positioning 10Pearls as a leader in new technologies
  • Demonstrate thought leadership on advancements in technology and helping clients see around corners
  • Experience working in a global environment with stateside, near-shore, and off-shore teams

Responsibilities

  • Lead technical discussions in presales meetings, leveraging a balance of technical and business acumen.
  • Work with customer technical stakeholders and internal technology teams to develop technical strategies, requirements, and roadmaps.
  • Lead engineering team in delivery of client projects in a timely manner
  • Collaborate with business unit leaders and stakeholders during the presales process to ensure delivery success.
  • Work actively on services engagements with customers, in addition to providing oversight and strategy.
  • Provide ongoing assessment of existing and emerging technologies and if/how they can be leveraged to improve capabilities and prepare for areas of growing demand.
  • Recruit, develop, and retain exceptional technical talent in partnership with the People Ops team.

Preferred Qualifications

  • Practical working knowledge of AI/ML; First-hand experience with Generative AI, LLM, Neural Networks and Data Science is preferred