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Salary: USD 80,000 - 110,000 / annual
Constructor is an AI-first ecommerce search and discovery platform launched in 2019, helping global e-commerce brands drive revenue and conversion gains through intelligent product discovery.
As Engineering Manager for the Agentic Integrations team, you will lead a growing engineering team building and scaling integrations for Constructor's agentic products across the customer base. This team operates at the intersection of customer needs, applied ML, product engineering, and production integration work.
Your responsibilities include:
- Leading engineers who deliver high-quality customer integrations for agentic products and turn repeated implementation patterns into reusable tooling, frameworks, and platform capabilities
- Setting technical and operational direction: how the team engages customers, makes integration work scalable, maintains quality across deployments, and feeds learnings back into product improvements
- Scaling agentic integrations from promising functionality to reliable, production-grade deployments across diverse customer environments
- Balancing team capacity between hands-on customer integration work and longer-term investments in reusable infrastructure
- Collaborating with Product, ML, Customer Success, Solutions, and core Engineering teams to prioritize needs and unblock adoption
- Establishing high standards for architecture, testing, observability, reliability, and maintainability in customer-facing integrations
- Creating lightweight but disciplined processes for scoping, managing commitments, handling escalations, and ensuring consistent customer experience
- Improving developer and implementation experience through documentation, reference implementations, playbooks, and debugging tools
- Owning the full hiring process for your team, from defining profiles to building pipelines and closing candidates
- Coaching and developing engineers who excel both technically and in customer-facing contexts
Required: 5+ years software engineering experience with at least 2 years directly leading an engineering team. Strong technical background in backend, full-stack, platform, or applied ML product engineering. Experience leading teams building customer-facing, production-grade systems or integrations. Strong analytical and problem-solving skills with ability to triage ambiguous customer issues. Comfort working directly with customers on technical discovery, scoping, troubleshooting, and communicating tradeoffs. Excellent collaboration and communication skills. Good product judgment and customer empathy.
Plus: Experience with LLMs, agentic systems, ML-powered products, recommendations, search, personalization, or data-heavy SaaS. Experience building reusable tooling, frameworks, SDKs, or internal platforms. English B2 level (CEFR) or higher. Ability to attend meetings between 1300-1700 UTC.
