Director of Engineering
pactfi
| Company | pactfi |
| Category | Engineering |
| Location | New York |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Director |
| Salary | USD 220k–300k |
| Posted | 16 Apr 2026 |
| Last verified | 11 Aug 2026 |
| Source | Employer ATS (ashby) |
Description
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 i