Job Opportunities API

About the Role We are seeking an experienced and visionary Director of Engineering to lead engineering excellence across our high-impact product vertical of Marketplace and Auctions products at a fast-growing, AI-first SaaS company. This is a senior leadership role at the intersection of people, technology, and delivery — responsible for shaping how we build, who builds it, and how fast we move. You will own the full technical lifecycle of your vertical: from architecture and system design to team performance and delivery cadence. You will be a champion for modern AI Engineering Development Methodology, embedding AI-assisted workflows, tooling, and thinking into the DNA of your teams. What You’ll Do Technical Leadership & Architecture Own end-to-end technical strategy for your product vertical, aligning architecture decisions with business and product goals Drive system design, scalability planning, and architectural governance across your engineering teams Establish and evolve engineering standards, patterns, and best practices for a cloud-native, SaaS environment Lead technical design reviews, ensuring quality, security, and performance considerations are embedded from inception Evaluate and introduce emerging technologies — particularly AI/ML platforms, LLM integrations, and AI-enabled developer tooling People Leadership & Organizational Development Hire, develop, and retain high-performing engineering talent across multiple squads or pods within your vertical Build a culture of psychological safety, continuous learning, and engineering craft Provide coaching, career development, and growth paths for engineers at all levels (IC to Staff/Principal) Foster an inclusive team environment that values diverse perspectives and ways of working Manage engineering managers and/or senior technical leads, investing in their development as leaders Delivery Excellence & Operational Rigor Own delivery outcomes for your vertical — velocity, quality, reliability, and predictability Partner with Product Management to translate roadmaps into technical plans with clear milestones and risk identification Drive agile or continuous delivery practices, continuously improving team flow and cycle times Define and track engineering KPIs (DORA metrics, defect rates, on-call burden, etc.) and hold teams accountable to them Oversee incident response, post-mortems, and systemic reliability improvements AI Engineering & Innovation Champion AI Engineering Development Methodology across your vertical, including: AI-assisted code generation, review, and documentation workflows (e.g., GitHub Copilot, Cursor, Claude Code) LLM integration patterns, RAG architectures, and AI-powered product features Prompt engineering and evaluation frameworks embedded in the SDLC AI observability, responsible AI practices, and guardrails in production systems Drive experiments with agentic engineering workflows to accelerate development throughput Stay current with the AI/ML ecosystem and serve as a thought partner to CTO and product leadership on AI strategy What We’re Looking For Required Experience 10+ years of software engineering experience, with at least 5 years in engineering leadership roles Proven track record managing engineering managers and multi-team organizations  Experience working in a high-growth B2B SaaS or large-scale enterprise environment with multi-tenant architecture Deep experience building and scaling SaaS products in cloud environments (AWS, GCP, or Azure) Strong foundation in distributed systems, API design, data architecture, and DevOps/SRE practices Demonstrated ability to balance technical vision with practical delivery execution Track record of building and sustaining high-performing, inclusive engineering cultures Preferred Qualifications Experience with AI Engineering Development Methodology, L