Director of Engineering - Marketplace and Auctions
Lead engineering for Marketplace and Auctions products at an AI-first SaaS company. Own technical strategy, architecture, team leadership across multiple squads, delivery outcomes, and AI engineering practices including LLM integrations and modern developer tooling.
Technical Leadership & Architecture
- Own end-to-end technical strategy for the Marketplace and Auctions product vertical, aligning architecture decisions with business and product goals
- Drive system design, scalability planning, and architectural governance across 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
- 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
- Manage engineering managers and/or senior technical leads
Delivery Excellence & Operational Rigor
- Own delivery outcomes — 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.)
- Oversee incident response, post-mortems, and systemic reliability improvements
AI Engineering & Innovation
- Champion AI Engineering Development Methodology including AI-assisted code generation, review, and documentation workflows (GitHub Copilot, Cursor, Claude Code)
- Drive LLM integration patterns, RAG architectures, and AI-powered product features
- Embed prompt engineering and evaluation frameworks in the SDLC
- Implement AI observability, responsible AI practices, and guardrails in production systems
- Drive experiments with agentic engineering workflows to accelerate development throughput
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, LLMOps, or AI-native product development
- Familiarity with modern AI tooling: LangChain, LlamaIndex, 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 Staff/Principal Engineer or Architect before transitioning to leadership
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