openashbyhqfincapital
Director of Engineering
PactFi
LocationNew York, NY
WorkplaceHybrid
EmploymentFullTime
Posted2026-04-16T15:46:48.217+00:00
Last observed2026-07-02 08:33:04.779776
Job idfincapital-pactfi:ashbyhq:f403ccb2-0c90-4951-863c-3b3cb1d0cb89
About PactFi Private asset markets (PE, Private Credit, VC, Real Estate) have 10x to 9.8T in AUM over the past decade and are projected to grow to $17T in the next five years. However, digital infrastructure has not kept pace, with most of the market operating predominantly in error-prone, internal-only software solutions. PactFi provides secure, end-to-end, operational infrastructure for managing complex private credit transactions. Our web-based application brings together all parties involved in such a transaction to more efficiently allocate capital, complete KYC, share documents, manage funds flow, and more. The platform is secured to a bank-grade standard, and we have received our SOC 2 Type 2 attestation. PactFi was developed in close partnership with two of the industry's largest players, both of whom represent the top 3 players in the private credit space by both size (AUM) and deal activity. ABOUT THE ROLE We’re looking for a Director of Engineering to lead high-performing teams and drive predictable, high-quality delivery as we scale beyond Series A. This role is critical in evolving our engineering organization from early-stage execution to a more structured, scalable system—without losing speed. You’ll bring experience building and scaling engineering teams in a high-growth environment, while helping us become an AI-first engineering organization—leveraging modern AI tooling and workflows to accelerate development, improve quality, and rethink how software is built. WHAT YOU’LL DO: Lead Delivery Through Growth - Own end-to-end delivery of critical product initiatives across multiple teams - Drive predictable execution as the organization scales in size and complexity - Introduce the right level of structure without slowing teams down - Balance speed, scope, and quality in a fast-moving environment Scale the Engineering Organization - Build and evolve team structures as we grow from Series A into later stages - Hire, develop, and lead Engineering Managers and engineers - Establish clear ownership boundaries, accountability, and team autonomy - Coach emerging leaders and help level up management across the org Build Scalable Systems for Execution - Evolve engineering processes from early-stage to scalable - Introduce delivery metrics (predictability, cycle time, throughput) - Ensure strong engineering fundamentals: testing, reliability, production readiness Build an AI-First Engineering Culture - Drive adoption of AI-assisted development tools - Identify and implement opportunities to improve velocity and quality through AI workflows - Establish best practices for safe, effective AI usage - Evaluate and integrate tools based on measurable impact Partner Cross-Functionally During Scale - Work closely with Product and Design to translate priorities into plans - Bring clarity and structure to roadmap planning - Communicate tradeoffs, risks, and progress clearly Collaborate on Technical & Platform Evolution - Partner with senior technical leadership on architecture and platform - Ensure teams adopt shared infrastructure effectively - Balance near-term delivery with long-term scalability WHAT WE’RE LOOKING FOR: Stage-Specific Experience (Critical) - Experience scaling an engineering org from Series A through growth - Experience growing from few teams to multiple teams/org layers - Ability to introduce structure without over-engineering - Experience transitioning to distributed ownership Experience - 8+ years software engineering - 3+ years leadership (including managing managers) - Proven track record in high-growth environments Leadership & Execution - Strong operator with consistent delivery - Experience building teams, not just inheriting - Strong judgment on process vs speed - Ability to manage increasing complexity AI & Modern Engineering Mindset - Experience integrating tools that measurably improve productivity - Practical understanding of AI-assisted development tools in production - Ability to evaluate and opera
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