Lead operations for multiple Public Sector Computer Vision projects, driving data annotation workflows, quality, and efficiencies for DoD and national security customers. Requires 5+ years program/ops leadership and onsite work in St. Louis or DC.
116k – 212k/yr
On-site5+ YOETechnical Program Management
About the role
Responsibilities
Design and lead cross-functional initiatives with engineering, product, analytics, and delivery teams (as well as relevant geospatial experts) to achieve project outcomes
Innovate on complex computer vision workflows and evaluation of data quality
Communicate and own the execution of multiple data annotation workflows across diverse data types (geospatial imagery, video, etc)
Optimize data annotation workflows with systems analysis to improve data quality and throughput with a goal achieving optimized machine learning outcomes
Outline and deliver on data-driven operational efficiencies on these workflows to achieve business outcomes
Partner with engagement managers to communicate with and shape outcomes for Scale’s Public Sector customers
Requirements
5+ years of experience in a general manager / program manager position or a similar leadership role in operations
Ability to regularly work onsite in both unclassified and secure facilities in either downtown Saint Louis, MO or the Washington D.C. area
Analytical, automation-focused mindset, able to analyze provable and traceable data to develop robust, flexible integrations and workflows with metrics-led results
Experience working in a fast-paced environment
Low ego and a proven pattern of sharing wins with your team
History of successful project management and comfort in ambiguity
Willingness to travel up to 25% of the time based on customer + mission needs
Nice to Haves
Active TS-SCI security clearance
Technical background (education or professional experience with economics, statistics, computer science, or engineering)
Experience working in and / or with the U.S. government
Deep understanding of ML operations for Computer Vision and Generative AI workflows / products
MBA or relevant technical degree
Skills
Program ManagementCross-Functional LeadershipData Annotation WorkflowsComputer VisionMl OperationsWorkflow OptimizationProject ManagementData Quality AnalysisSystems AnalysisStakeholder Communication
Lead and drive cross-team technical programs to improve effectiveness of Datadog's customer-facing Technical Solutions teams (Sales Engineers, TAMs, Support Engineers, Solution Architects). Bring structure to ambiguous initiatives, manage scope/timelines/risks with data, apply AI tools, and communicate to stakeholders.
116k – 145k/yr
Hybrid3+ YOETechnical Program Management
Technical Program Manager
Applied IntuitionSunnyvale, CA
Drive business-critical multi-disciplinary engineering projects from concept through execution, leveraging strong leadership, communication, planning, and engineering skills to manage complex releases and customer requests.
115k – 222k/yr
On-site4+ YOETechnical Program Management
Technical Delivery Manager
ReltioNew York, New Jersey, Massachusetts, Washington DC, North Carolina, Georgia, FL
Technical Delivery Manager leading Professional Services projects for Reltio's MDM and data unification platform. Manages multiple customer engagements end-to-end, leads cross-functional teams, ensures delivery quality and profitability, and builds executive relationships while identifying upsell opportunities.
114k – 211k/yr
Remote5+ YOETechnical Program Management
Project Manager
AxleBethesda, MD
Project Manager supporting NIH grants administration in Bethesda. Responsibilities include FOA drafting, application intake/validation, budget review, compliance checks, JIT tracking, NoA preparation, post-award monitoring, and closeout processes. Requires 5+ years federal grants experience and bachelor's degree.
120k – 130k/yr
On-site5+ YOETechnical Program Management
AI Alignment TPM
AE StudioLos Angeles, CA
Lead execution on AI alignment projects as a technical operator, turning ideas into roadmaps and driving research and product efforts from concept to impact. Requires strong technical judgment in AI/ML and experience managing complex projects.