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Engineering Manager, Platform & AI Systems

Job in Ogden, Weber County, Utah, 84403, USA
Listing for: DAKCS Software Systems
Full Time position
Listed on 2026-07-06
Job specializations:
  • Software Development
    Software Architect, Backend Developer, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 130000 - 160000 USD Yearly USD 130000.00 160000.00 YEAR
Job Description & How to Apply Below

Engineering Manager, Platform & AI Systems

PDCflow is a proven leader in payment management and digital workflow software. Collecting payments, securing e‑signatures, and delivering invoices are the lifelines of business operation, but managing them separately can be tedious and time‑consuming. Our comprehensive platform combines secure payments and document workflows into one frictionless experience, leveraging decades of compliance expertise to streamline operations for our customers.

We are a small, tight‑knit team based out of Ogden, UT that values a human approach to relationships. We provide a stable, casual environment where your voice carries weight, and we take pride in a workspace built on mutual respect and genuine employee appreciation. As we enter an exciting phase of modernizing our platform and expanding into next‑generation payment experiences, you will have a direct hand in shaping our future.

The Role

We’re looking for an articulate, people‑oriented Platform & AI Systems Engineering Manager to lead a high‑velocity team of developers. Our team uses advanced AI‑assisted development tools (like Claude Code) to bypass legacy constraints and ship at an elite pace. You will lead the team operationally and technically, keeping them highly engaged while defining a cleaner, modern architecture. Acting as a true primus inter pares—"a first among equals"—you are a peer in the trenches but also a guide at the helm.

You are a player coach who stays in the thick of things, codes alongside your peers, and makes the critical decisions needed to lead the team to success.

What You’ll Do
  • 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 Order Service/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.
What We’re Looking For
  • Deep Engineering Roots:
    You bring 10+ years of progressive software engineering experience with a strong background in designing scalable distributed systems, microservices, and resilient backend architectures.
  • Strategic Value Generation:
    You possess a sharp business lens and excel at translating complex payment strategy into executable engineering sequencing. You champion an 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.
  • AI Tooling Fluidity:
    You have 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.
  • Proven Leadership:
    You bring 3+ years of direct engineering management, tech lead, or principal team mentorship experience, with a natural ability to coach developers and build trust quickly.
  • Fintech Domain Depth:
    You have a strong background working in high‑scale Fintech, Payments, or Billing infrastructure, meaning you thrive in compliance‑heavy environments where security, auditability, and data…
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