Director of Product Engineering

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Aduro Advisors

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Aduro Advisors on 2024-05

Finance • SaaS • B2B

Aduro Advisors is a fund administration and technology firm that provides premier fund accounting, fund operations, and investor reporting services for venture and private investment firms. The company combines a team of seasoned fund administration professionals with proprietary software, FundPanel (FundPanel. io), which includes an Investor Portal and analytics to streamline fund operations, investor relations, and portfolio monitoring. Aduro reports $141+ billion assets under administration, supports 650+ firms and 5,500+ investment entities, and emphasizes bespoke operational solutions and institutional-grade reporting for limited partners and fund managers.

📋 Description

• Coach, mentor, and develop engineers at all levels, with particular focus on empowering Lead Developers and reinforcing a culture of ownership and accountability. • Foster an inclusive, high-trust environment where engineers feel supported, challenged, and invested in the team's success. • Keep the team aligned, motivated, and focused through periods of growth and change. • Evaluate, refine, and build on the processes and structures currently being established with the team. • Drive continuous improvement in how the team plans, ships, and iterates — championing best practices in Agile/Scrum, code review, documentation, and delivery. • Ensure the team has the right tools, workflows, and operational support to work efficiently and sustainably. • Set and maintain architectural direction in partnership with engineers and leadership — engaging substantively in technical trade-offs and validating AI-assisted design decisions, without needing to be a hands-on developer. • Own the governance model for agentic systems — agent scope and escalation paths, what data agents may access, how errors propagate, and the guardrails for security, reliability, testability, and cost — in partnership with the CPTO and security/data governance. This is a responsibility you'll hold directly. • Establish standards for evaluating AI-assisted and AI-driven work: output validation, lightweight eval/benchmarking, and cost considered at the architecture level rather than as an afterthought. • Ensure technical debt is tracked, prioritized, and addressed in a structured way, and help the team make sound build / buy / integrate decisions. • Work closely with Product, Design, Data Engineering, and other stakeholders to align engineering capacity and priorities with business goals. • Translate business requirements into clear engineering objectives; help the team navigate competing priorities with clarity and confidence. • Represent engineering in leadership and planning conversations, advocating for the team's needs and capabilities. • Partner with Talent Acquisition and leadership to grow the team thoughtfully — defining roles, conducting interviews, and onboarding new engineers effectively. • Develop a deliberate team-composition strategy for the AI era that balances senior leverage with a sustainable pipeline of growing engineers — avoiding an inverted, "senior-only" structure that erodes future capacity. • Develop career paths and growth frameworks that reward ownership, sound judgment, and technical excellence.

🎯 Requirements

• 10+ years in software engineering, with 6+ years in engineering leadership (Engineering Manager, Senior Engineering Manager, Director, or equivalent). • Demonstrated experience leading through other leaders (Engineering Managers, Lead Developers, Staff+ engineers) and scaling delivery across multiple workstreams. • A strong track record running the full people-leadership cycle: hiring, onboarding, performance management, coaching, and career development and leveling. • Experience building and operating durable engineering processes: planning and estimation, sprint or iteration rituals, prioritization, incident management, and continuous improvement. • Demonstrated experience operationalizing AI across an SDLC at team or organizational scale — not just personal tool use — with defined standards for quality and review. • Judgment for output validation and AI-system governance: reviewing AI-assisted code and architecture for correctness, security, and fit; and defining agent scope, guardrails, and escalation paths. • The ability to engage meaningfully in architectural discussions and technical trade-offs without needing to be a hands-on developer. • Experience guiding teams through transitions — organizational, technical, or cultural — with a calm, structured approach.

🏖️ Benefits

• Health/Dental/Vision Insurance • Life Insurance • Short-Term Disability • Long-Term Disability • Paid Time Off (PTO) & company holidays • 401k with Employer Match • Company-wide social events and programs • Dog-friendly office in downtown Denver