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VP, Technology and R&D; AI-DLC Transformation Leader

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Jonas Software
Full Time position
Listed on 2026-03-15
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: VP, Technology and R&D (AI-DLC Transformation Leader)

Job Description

VP, Technology and R&D (AI-DLC Transformation Leader)
Mini Soft - Jonas Software

Location: Remote (travel as needed)
Reports to: President, Mini Soft, Inc.
Works closely with: Product, Customer Success/Services, Support, Security/Compliance (as applicable)

Company & Market Context

Mini Soft is a market-leading legal collections software business helping law firms unify collections data, communications, and workflows to improve cash flow visibility and outcomes. Our platform includes ARCS3 (collections/cash flow management) and Acumen (financial insights extending beyond finance to timekeepers).

Role Summary

We are seeking a hands-on, high-impact Technology/R&D leader to own Mini Soft’s engineering execution and modernization with a primary mandate to lead the conversion from SDLC to an AI Development Lifecycle (AI-DLC). This leader will set technical direction, build and scale the delivery system (people/process/platform), and ship AI-enabled capabilities safely and reliably for legal-industry customers.

This role requires demonstrated AI and AI-DLC experience including model evaluation, production monitoring, governance, and the practical steps required to transform an SDLC shop into an AI-DLC shop.

Success Measures (12–18 months)
  • SDLC to AI-DLC operating model implemented and adopted across teams (planning, build, eval, release, monitor, iterate).
  • Increased delivery throughput and reliability (cycle time down, predictable releases up, fewer production incidents).
  • Customer-facing AI capabilities shipped with measurable adoption and trust metrics (accuracy/reliability, time saved, reduced manual effort).
  • Internal AI productivity gains realized across engineering/QA, support, services, and go-to-market enablement.
  • Strong engineering culture: high standards, strong talent bench, and healthy technical debt trajectory.
Key Responsibilities
  • Lead SDLC to AI-DLC transformation: Own AI delivery from intake/data readiness through evaluation, deployment, monitoring, and iteration.
  • Governance & trust: Ensure privacy, security, auditability, model/vendor risk controls, and human-in-the-loop use.
  • Technical strategy & platform: Drive architecture, data/integrations, QA automation, reliability, and secure engineering (CI/CD, testing, observability).
  • Product outcomes: Partner with Product/President to ship measurable, usable, trustworthy capabilities.
  • Team leadership: Hire and develop a strong engineering/data/ML org with clear standards and accountability.
  • Operational excellence: Improve predictability, capacity planning, tech debt management, and alignment with Services/Support.
What You Bring (Required)
  • Senior leadership experience in engineering/R&D (VP/Head/Director+), leading teams that design, ship and operate production software at scale.
  • Demonstrated AI delivery experience in a commercial product environment (LLM and/or ML), including evaluation and production monitoring.
  • Experience evolving engineering organizations toward AI-enabled product development (AI-DLC, ML lifecycle practices, or similar), including adapting workflows, tooling, and team structures.
  • Strong system design and architecture capabilities (data, integrations, security, reliability).
  • Track record of improving delivery throughput and quality (CI/CD, QA automation, observability, incident management).
  • Executive-level communication skills with the ability to translate technical strategy into clear business priorities and drive alignment across leadership teams.
Strongly Preferred
  • Experience in legal tech, fintech, or other regulated/sensitive data environments.
  • Experience modernizing legacy systems (cloud migration, platform refactor, API strategy).
  • Experience with enterprise security practices and customer trust requirements.
Why This Role
  • You will be the technical owner of Mini Soft’s next chapter: AI-enabled product evolution + AI-DLC transformation.
  • Significant autonomy and impact, paired with a President-level mandate that explicitly supports this change.

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