Director of Product Engineering

🕒 Ontem

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Aduro Advisors

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💸 Finanças

☁️ SaaS

🤝 B2B

💰 Private Equity Round - Aduro Advisors em 2024-05

Finance • SaaS • B2B

Aduro Advisors é uma empresa de administração de fundos e tecnologia que oferece serviços de contabilidade de fundos, operações de fundos e relatórios para investidores, direcionados a empresas de investimento de risco e investimento privado. A empresa combina uma equipe de profissionais experientes em administração de fundos com um software proprietário, o FundPanel (FundPanel. io), que inclui um Portal do Investidor e análises para otimizar operações de fundos, relações com investidores e monitoramento de portfólios. A Aduro administra mais de US$ 141 bilhões em ativos, apoia mais de 650 empresas e 5. 500 entidades de investimento, e enfatiza soluções operacionais personalizadas e relatórios de padrão institucional para parceiros limitados e gestores de fundos.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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