Senior Technology Leader
Company | 10pearls |
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Location | Vienna, VA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Expert 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