Director of Engineering - Marketplace and Auctions
Listed on 2026-07-18
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Software Development
AI Engineer (Applied/Software), Software Architect, Software Project Mgr/ Lead
Director of Engineering - Marketplace and Auctions
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.
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
- 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
- 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
- Champion AI Engineering Development Methodology across your vertical, including:
- AI-assisted code generation, review, and documentation workflows (e.g., Git Hub 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
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 Dev Ops/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, LLMOps, or AI-native product development
- Familiarity with modern AI tooling:
Lang Chain, llama
Index, vector databases, fine-tuning workflows - Hands-on experience integrating AI/ML capabilities into commercial software products
- Background in building platform capabilities (internal developer platforms, shared services)
- Prior experience as a…
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