Senior Engineering Manager, Risk Engineering

Imprint

. Own real-time authorization and fraud decisioning systems .

Posted 10/11/2026full-timeUnited StatesSenior💰 $220,000 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing engineering teams and overseeing latency-sensitive, high-availability distributed systems. Proficient in utilizing AI tools for codebase investigation and decision-making while ensuring engineering quality and delivery standards.

Highest-signal resume keywords

Engineering Management ExperienceLatency-Sensitive Systems OwnershipAI Tools UtilizationTeam Development and RetentionBackend Development with Go

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Engineering ManagementLatency-Sensitive SystemsBackend DevelopmentAI ToolsCodebase InvestigationFeasibility AssessmentTechnical CredibilityScoping WorkSetting PrioritiesDriving Delivery

Soft Skills

Clear CommunicationTeam LeadershipDelegationProblem-SolvingAdaptability

Tools & Technologies

GoMySQLDynamoDBTemporalKafkaKubernetesAWS

Industry Keywords

Fraud DecisioningUnderwriting PipelineRisk ManagementPaymentsIdentity Verification

Tech Stack

Tools & technologies

AWSDistributed SystemsDynamoDBKafkaKubernetesMySQLGo

About the role

Key responsibilities & impact

Own real-time authorization and fraud decisioning systems
Set standards for the design, testing, and operation of latency-sensitive authorization and fraud systems
Own the underwriting pipeline spanning credit, fraud, identity, and compliance checks
Support new brand partners and products by incorporating new policies and data sources into the underwriting pipeline
Evaluate fraud scoring, identity verification, and bureau-data vendors
Make build-versus-buy decisions using latency and cost considerations
Prioritize platform work across Credit, Fraud, Product, and Compliance stakeholders
Define the roadmap and scope work independently
Use AI tools to investigate codebases, assess work complexity and viability, and clarify ambiguous requests
Lead and develop a team of senior engineers
Delegate ownership of entire domains to individual contributors
Maintain engineering quality and delivery standards
Hire, develop, and retain strong engineers

Requirements

What you’ll need

5+ years of engineering management experience
Track record of building, developing, and retaining strong engineering teams
Experience managing through rapid growth, ambiguity, or significant technical change
Strong technical foundation; prior strong engineering experience
Maintained technical credibility through hands-on engagement or modern AI tools
Experience managing Staff-level individual contributors
Experience helping senior engineers grow into larger roles
Experience owning latency-sensitive, high-availability distributed systems in production
Ability to communicate clearly and directly in writing, 1:1s, executive settings, and engineering settings
Ability to scope work, set priorities, and drive delivery through a team
Experience using AI tools for codebase investigation, feasibility assessment, and clarifying requests, or genuine enthusiasm to adopt them
Backend experience with Go, MySQL, DynamoDB, Temporal, Kafka, Kubernetes, and AWS
Experience in risk, fraud, underwriting, or payments is a plus

Benefits

Comp & perks

Competitive compensation and equity packages
Leading configured work computers of your choice
Flexible paid time off
Fully covered, high-quality healthcare, including fully covered dependent coverage
Access to One Medical
Option to enroll in an FSA
20 weeks of paid parental leave for the primary caregiver
8 weeks of paid parental leave for all new parents
Access to industry-leading technology across all business units