Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Jasper

Senior Manager, Engineering

Jasper

. Lead the IQ Platform team, setting technical direction, coaching engineers, and owning delivery of major platform initiatives end-to-end .

Posted 9/30/2026full-timeRemote • United StatesSenior💰 $238,000 - $280,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI fluency, particularly with LLMs and context-layer architecture, while leading engineering teams to deliver scalable platform solutions. Proven ability to connect technical initiatives to business outcomes and mentor engineers to enhance technical excellence.

Highest-signal resume keywords
AI FluencyTechnical Architecture OwnershipSystems Design SkillsProduction Platform DevelopmentPeople Leadership

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringSystems DesignArchitectureRAG ExpertiseLLM ExperienceData GovernanceIntegration DevelopmentContext Layer DesignFeedback ImplementationCode Review
Soft Skills
MentoringCollaborationCommunicationProblem SolvingFlexibility
Tools & Technologies
LangChainRAG PipelinesKnowledge Management SystemsExternal Integrations
Industry Keywords
Startup EnvironmentBusiness OutcomesProduction InfrastructureAgent Workflows

About the role

Key responsibilities & impact
  • Lead the IQ Platform team, setting technical direction, coaching engineers, and owning delivery of major platform initiatives end-to-end
  • Chart and communicate the vision for Jasper’s context layer
  • Build and scale the knowledge management system, including external integrations and RAG pipelines
  • Design and implement a self-improving context-layer architecture using usage, feedback, and new data
  • Write and review code alongside the team
  • Mentor engineers and raise technical excellence standards
  • Partner with Staff-level and senior engineers on complex, ambiguous problems
  • Balance velocity and quality while shipping extensible major systems
  • Collaborate with Product, Design, and Engineering teams to support real-world agent workflows at scale
  • Report to the Senior Director, Engineering

Requirements

What you’ll need
  • AI fluency, including LLMs, agents, copilots, tokens, credits, context windows, RAG, and data governance
  • 10+ years of hands-on software engineering experience
  • Demonstrated people leadership and technical architecture ownership
  • Proven leadership connecting technical work to business outcomes
  • Flexibility to ship major systems in a startup environment
  • Ability to partner with Staff-level engineers on complex architectural and systems-design problems
  • Strong systems design and architecture skills
  • Experience building production platforms or infrastructure at scale
  • Nice to have: Hands-on experience with LLMs and applied LLM systems
  • Nice to have: RAG expertise, including retrieval pipelines, embedding strategies, and evaluation
  • Nice to have: Familiarity with LLM frameworks such as LangChain
  • Legally eligible to work in the United States
  • At least two years of valid U.S. work authorization

Benefits

Comp & perks
  • Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families
  • 401(k) program with up to 2% company matching
  • Equity grant participation
  • Flexible PTO with a FlexExperience budget ($900 annually)
  • FlexWellness program ($1,800 annually)
  • Generous budget for home office set up
  • $1,500 annual learning and development stipend
  • 16 weeks of paid parental leave