FloQast
SaaS
EngineeringManager
Neural analysis suggests this role is
optimal for Lead candidates.
“Engineering Manager at FloQast. Skills: technical leadership, backend engineering, distributed systems, AI-driven workflow automation, LLM reasoning, AI coding tools. Manage a small team of engineers and tech leads working on the core FloQast platform. enable technical excellence and remove friction”
What You'll Achieve.
enable technical excellence; remove friction; accelerate development; Raise the Technical Bar; Your success will be measured by how effective your engineers become; Helping teams move faster without sacrificing quality
Industry & Context.
Unblock complex technical problems; Comfortable debugging production systems; Discussing architecture tradeoffs; Guiding engineers through difficult technical problems
What They're Looking For.
Must Have
8+ years of backend engineering experience, Experience operating large-scale SaaS platforms, understanding of distributed systems, APIs, and data models, Comfortable debugging production systems, can still write code if needed and understand the systems their teams build, comfortable Reviewing complex pull requests, Discussing architecture tradeoffs, Guiding engineers through difficult technical problems, experience using tools such as Claude, Cursor, Or similar AI coding environments to accelerate development, Mentoring tech leads, Growing senior engineers, Removing technical blockers, Helping teams move faster without sacrificing quality
Nice to Have
Experience building AI agents, Experience building LLM-powered workflows, Experience building AI-assisted developer tooling
What You'll Do.
Manage a small team of engineers and tech leads working on the core FloQast platform
enable technical excellence and remove friction
Mentor Staff Engineers
Unblock complex technical problems
Drive engineering decisions across the team
design and operate Distributed backend services
design and operate Scalable data pipelines
design and operate Highly reliable production systems
design and operate APIs and services powering accounting automation
Build AI-driven workflow automation
Build Intelligent agents operating across accounting processes
Build Systems that integrate LLM reasoning with financial data models
actively use tools such as Claude Code
or similar AI systems to accelerate development and guide their teams
define how AI changes Software design
actively participate in Architecture reviews
actively participate in System design discussions
actively participate in Major code reviews
provide Technical mentorship
How You'll Work.
Team & Collaboration
Lead a Highly Technical Team; manage a small team of engineers and tech leads; Drive engineering decisions across the team; guide their teams in doing the same; Mentoring tech leads; Growing senior engineers; Helping teams move faster without sacrificing quality; Committed to Collaboration
Process & Methodology
coordinate delivery
Full Job Description
## What You'll Do Lead a Highly Technical Team You will manage a small team of strong engineers and tech leads working on the core FloQast platform. Your role is to enable technical excellence and remove friction, not simply coordinate delivery. You will: Mentor Staff Engineers, Tech Leads, and Senior Engineers Unblock complex technical problems Drive strong engineering decisions across the team Build and Scale Backend Systems FloQast operates a large-scale SaaS platform used by thousands of companies and millions of financial workflows. You will help the team design and operate: Distributed backend services Scalable data pipelines Highly reliable production systems APIs and services powering accounting automation Build AI-Powered Product Capabilities FloQast is moving aggressively toward AI-native product development. Your team will build: AI-driven workflow automation Intelligent agents operating across accounting processes Systems that integrate LLM reasoning with financial data models Drive AI-First Development AI coding tools are not optional here. We expect engineering leaders to actively use tools such as Claude Code, Cursor, or similar AI systems to accelerate development and guide their teams in doing the same. You will help define how AI changes: Software design Code generation Debugging Testing Refactoring Raise the Technical Bar You will actively participate in: Architecture reviews System design discussions Major code reviews Technical mentorship This is a technical leadership role, not a coordination role. ## What You'll Bring You Have Built Real Systems 8+ years of backend engineering experience Experience operating large-scale SaaS platforms Strong understanding of distributed systems, APIs, and data models Comfortable debugging production systems You Are Still Technical The best engineering managers we hire can still write code if needed and understand the systems their teams build. You should be comfortable: Reviewing complex pull requests Discussi
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