Director of Product Engineering

🕒 il y a 10 jours

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Aduro Advisors

Site WebLinkedInTous les Emplois

201 - 500 employés

💸 Finance

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Aduro Advisors en 2024-05

Finance • SaaS • B2B

Aduro Advisors est une entreprise spécialisée dans l'administration de fonds et la technologie, offrant des services de comptabilité de fonds, des opérations de fonds et des rapports aux investisseurs pour les firmes de capital-risque et d'investissement privé. L'entreprise associe une équipe de professionnels expérimentés de l'administration de fonds à un logiciel propriétaire, FundPanel (FundPanel. io), qui inclut un portail pour les investisseurs et des analyses pour rationaliser les opérations de fonds, les relations avec les investisseurs et le suivi des portefeuilles. Aduro gère plus de 141 milliards de dollars d'actifs sous administration, soutient plus de 650 firmes et 5 500 entités d'investissement, et met l'accent sur des solutions opérationnelles sur mesure et des rapports de qualité institutionnelle pour les partenaires limités et les gestionnaires de fonds.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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