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Director of Engineering - Marketplace and Auctions

Job in Washington, District of Columbia, 20001, USA
Listing for: Storable
Full Time position
Listed on 2026-07-18
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Architect, Software Project Mgr/ Lead
Job Description & How to Apply Below

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
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., 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
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 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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