Engineering Manager, Platform & AI Systems

DAKCS Software Systems and PDCflow•Ogden, UT

1d•Hybrid

About The Position

PDCflow is a leader in payment management and digital workflow software, combining secure payments and document workflows into one frictionless experience. The company is a small, tight-knit team based in Ogden, UT, valuing a human approach to relationships and providing a stable, casual environment. As PDCflow modernizes its platform and expands into next-generation payment experiences, this role will be instrumental in shaping its future.

Requirements

10+ years of progressive software engineering experience with a strong background in designing scalable distributed systems, microservices, and resilient backend architectures.
Sharp business lens and excel at translating complex payment strategy into executable engineering sequencing.
Agile, "test-and-learn" approach—focusing on rapid validation to prove a concept works before scaling it up—while keeping architecture built for long-term scale.
Hands-on experience or deep strategic competence using LLMs and advanced prompt frameworks to accelerate engineering output, alongside the ability to convert rapid AI workflows into permanent, documented organizational assets.
3+ years of direct engineering management, tech lead, or principal team mentorship experience, with a natural ability to coach developers and build trust quickly.
Strong background working in high-scale Fintech, Payments, or Billing infrastructure, meaning you thrive in compliance-heavy environments where security, auditability, and data integrity are non-negotiable.
Live along the Utah corridor between Logan and Provo to easily support our flexible hybrid rhythm.

Responsibilities

Drive Velocity & AI Standards: Ensure the team utilizes modern AI tooling effectively, establishing standards and frameworks (like MCP servers) to keep AI-generated code secure, clean, and stable over time.
Modernize Core APIs: Lead the overhaul of our gateway and API architecture, transitioning systems toward modern, token-based, scoped API access.
Scale Payment Experiences: Expand secure embedded payment workflows, tokenization, portals, flows, and digital wallet integrations (Apple Pay, Google Pay, Venmo, etc.).
Own Platform & AI Continuity: Take full architectural ownership of our Stripe-shaped OrderService/API platform, maintaining total continuity across repositories, deployments, billing, and vendor integrations.
Enforce Security & Compliance: Apply sharp operational guardrails around the platform, ensuring robust tenant isolation, tokenization, data redaction, secure API keys, and total auditability (SOC 2, PCI-DSS).
Mentor & Lead: Foster a collaborative engineering culture grounded in ownership and execution discipline. Partner directly with executive leadership to communicate technical trade-offs, timelines, and risks.
Build, Prototype, & Improve: Rapidly prototype, test, and deploy production-grade AI solutions while evaluating emerging tools that can optimize engineering operations across the organization.