The Senior Engineering Manager, LMTS - Qualified will lead one or more product teams to develop and scale core backend systems with a strategic focus on integrating AI technologies. This leadership role involves managing and mentoring talent, owning the product roadmap, and driving fullstack architecture to ensure systems are secure, scalable, and observable. The successful candidate will guide end-to-end technical decisions across frontend, backend, and data integrations while collaborating cross-functionally with product and design teams. Required technical skills include proficiency in Ruby on Rails, Java, Python, or Go, along with experience in AI-driven application development, dataset curation, model training, and deployment. The role specifically requires expertise in SQL and RDBMS, particularly PostgreSQL, to solve complex problems within a B2B platform.
What does a Engineering Manager earn in Washington?
Median $268200 from 37 postings across 10 companies.
REST API
RBAC
Agent Orchestration
Cloud Infrastructure
Observability
Incident Response
Compliance Frameworks
System Design
Architecture
Production Operations
Least-Privilege
Zero-Touch Production
AI-Native Development Tools
ASIC
Digital IC Design
IC Verification
Design Automation
Design For Test
Power Analysis
Formal Verification
Simulation Analysis
Circuit Evaluation
Physical Design
Lab Testing
Characterization
Electrical Engineering
IC Integration
Verification and Validation
Embedded Software
Electronics
Electromechanical Systems
System Architecture
Root-Cause Analysis
Data Acquisition
Automated Test Systems
Sensors
Actuators
Controls
Requirements Management
Configuration Management
Risk Management
Fault-Tree Analysis
Prototyping
System Integration
Lean Product Development