<p><strong>About the Role</strong></p><p>Mitratech is looking for a Director, Mitratech Catalyst — a hands-on technical leader who will launch new applications from zero to one using AI-augmented development practices and rapid delivery cycles. This role sits at the intersection of product engineering and organizational transformation: you will conceive, architect, and ship new products in compressed 8–12 week sprints, then hand them off to divisional engineering teams equipped to carry the work forward.</p><p>You will operate as the tip of the spear for Mitratech’s next generation of product development, proving that AI-native tooling and modern delivery practices can dramatically compress time-to-value. Success in this role is measured equally by what you build and by what others are able to sustain after you move on.</p><p><strong>What You’ll Do</strong></p><p><strong>0→1 Product Delivery</strong></p><ul><li>Lead end-to-end development of new applications and features from concept through production release within 8–12 week project cycles.</li><li>Define architecture, select technology stacks, and make build-vs-buy decisions optimized for speed, quality, and long-term maintainability.</li><li>Leverage AI-assisted development tools (e.g., Claude, Copilot, cursor-based IDEs) to accelerate coding, testing, documentation, and review workflows.</li><li>Personally write production code alongside a small, high-velocity squad — this is not a management-only role.</li><li>Deliver working software that meets Mitratech’s standards for security, scalability, and cloud-native deployment (AWS-first, Terraform IaC).</li></ul><p> </p><p><strong>Handoff & Team Enablement</strong></p><ul><li>Design and execute structured handoff plans so divisional engineering teams can own, extend, and operate each delivered product independently.</li><li>Embed AI-augmented development practices into receiving teams through pairing sessions, documentation, runbooks, and lightweight training.</li><li>Establish repeatable playbooks for the full 0→1 lifecycle: ideation, rapid prototyping, MVP delivery, production hardening, and transition.</li><li>Partner with engineering managers and tech leads to ensure receiving teams have the skills, context, and confidence to iterate post-handoff.</li></ul><p> </p><p><strong>Practices & Culture</strong></p><ul><li>Champion and evolve Mitratech’s Catalyst delivery model, including rapid sprint cadences and automated quality gates.</li><li>Serve as an internal evangelist for AI-native engineering practices, demonstrating what’s possible and raising the bar across the organization.</li><li>Collaborate cross-functionally with Product, Design, Operations, and divisional Engineering leadership to identify high-impact build opportunities.</li><li>Contribute to Mitratech’s AI governance standards, ensuring all AI-assisted outputs meet policy requirements for data protection, auditability, and customer trust.</li></ul><p><strong>What We’re Looking For</strong></p><p><strong>Required</strong></p><ul><li>10+ years of software engineering experience with a track record of shipping production applications at scale.</li><li>Demonstrated experience leading 0→1 product builds — from blank repo to live customers — in fast-paced or startup-like environments.</li><li>Deep fluency with AI-assisted development workflows (LLM-based code generation, AI pair programming, automated testing with AI, prompt engineering for developer productivity).</li><li>Strong architectural instincts across full-stack, cloud-native systems (AWS, containerization, CI/CD, infrastructure-as-code).</li><li>Proven ability to hand off complex systems to other teams with clear documentation, clean codebases, and effective knowledge transfer.</li><li>Experience leading or mentoring engineers and influencing engineering culture without relying on positional authority.</li></ul><p> </p><p><strong>Preferred</strong></p><ul><li>Experience in B2B SaaS, legal tech, compliance, HR tech, or similarly regulated domains.</li><li>Familiarity with M&A-driven engineering environments where multiple product lines and tech stacks coexist.</li><li>Background in establishing internal platforms, accelerators, or innovation labs.</li><li>Experience working within or alongside DevOps/SRE organizations and platform engineering teams.</li></ul><p><strong>How Success Is Measured</strong></p><ul><li>Products shipped: Number of new applications delivered to production within target timelines and quality standards.</li><li>Handoff effectiveness: Receiving teams are independently shipping features and operating the product within 30 days of transition.</li><li>Practice adoption: Measurable uptake of AI-augmented development practices across divisional engineering teams post-engagement.</li><li>Cycle time compression: Demonstrable reduction in time-from-concept-to-production compared to traditional delivery methods.</li><li>Team confidence: Positive feedback from receiving teams on clarity of documentation, code quality, and transition support.</li></ul>