Software Development Manager leading development of BrightOrder’s fleet - management SaaS platforms. Hands - on AWS architecture, production coding, delivery leadership, and engineering team growth.
About the role
- Engineering Manager leading Scout, Daloopa’s AI-powered Excel financial modeling product. Building reliable ML/LLM systems and developing high-performing engineering teams.
Responsibilities
- Lead the engineering team building Scout
- Build and update financial models inside Excel using Daloopa's audit-ready, hyperlinked data
- Continue hands-on development, including rapidly prototyping with AI coding tools
- Provide technical leadership through design and code reviews
- Set and uphold standards for execution, code quality, and operational readiness
- Ship and operate reliable client-facing ML/LLM products
- Own the product roadmap with Product and cross-functional stakeholders
- Make tradeoffs among scope, quality, and timelines
- Improve engineering practices across teams through incident reviews, standards, tooling, and knowledge sharing
- Build trust and strong working relationships across Engineering, Product, Sales, Customer Success, Support, and clients
- Hire, develop, and retain strong engineers
- Build healthy, accountable, continuously improving teams
Requirements
- Demonstrated ability to ask clarifying questions rather than make assumptions
- Ability to connect team work to customer or business value
- Ability to protect scope and prioritize simplicity
- End-to-end ownership of ambiguous problems and outcomes
- Proactive communication of risks, issues, and updates
- Self-directed, high-performance mindset
- Self-awareness, ability to learn quickly, and ability to handle disagreement
- Ability to raise the bar by sharing knowledge and developing team members
- Hands-on technical leadership in backend, full-stack, or AI products
- Experience with design and code reviews and maintaining high standards for execution, code quality, and operational readiness in client-facing production systems
- Experience shipping client-facing products built on ML/LLMs
- Experience with production engineering practices including evaluations, observability, latency, and cost management
- Experience hiring, developing, and retaining strong engineers
- Experience building healthy teams based on trust, accountability, and continuous improvement
- Experience owning and managing roadmaps with Product and cross-functional stakeholders
- Experience improving engineering practices through incident reviews, standards, tooling, or knowledge sharing
- Strong working relationships across Engineering, Product, Sales, Customer Success, and Support
- Comfort interacting with analysts who use shipped products
- Experience with financial data products or pipelines preferred
- Experience building products inside existing user tools such as Excel or Office add-ins preferred
- Exceptional achievement outside work preferred
Benefits
- Competitive pay
- Performance incentives
- Equity in a fast-growing FinTech
- Hybrid work schedule for HQ-based roles (3 days in-office)
- Career growth and mentorship opportunities
- Vibrant, collaborative culture
- Full benefits package
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Degree requirement
No Education Requirement
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