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