Engineering Manager: Agentic Integrations

About Us

Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.

About the Role

As an Engineering Manager on the Agentic Integrations team, you’ll lead engineers building and scaling integrations for Constructor’s agentic products across our customer base. This team sits within the ML Journey chapter and operates at the intersection of customer needs, applied ML, product engineering, and production integration work.

Your team will work directly with customers and internal teams to bring agentic capabilities into real-world retail workflows, helping customers adopt, configure, extend, and scale these products in their environments. The work spans two fronts: delivering high-quality customer integrations for agentic products, and turning repeated implementation patterns into reusable tooling, frameworks, documentation, and platform capabilities that make future integrations faster and more reliable.

You’ll be responsible for setting the technical and operational direction for the team: how we engage customers, how we make integration work scalable, how we maintain quality across a growing number of deployments, and how we turn customer-specific learnings into product and platform improvements. Success in this role requires strong engineering leadership, customer empathy, excellent prioritization, and the ability to work effectively across Product, ML, Customer Success, Solutions, and core Engineering teams.

Challenges you will tackle

• Scaling agentic integrations: Be a part of building a new team that can take agentic capabilities from promising product functionality to reliable, production-grade customer deployments across many different customer environments.

• Balancing customer delivery and scalable foundations: Allocate the team’s capacity across hands-on customer integration work and longer-term investments in reusable tooling, templates, documentation, automation, and platform improvements.

• Cross-functional collaboration and prioritization: Work closely with Product, ML, Customer Success, Solutions, and other Engineering teams to prioritize customer needs, unblock adoption, and ensure integration learnings feed back into the product roadmap.

• Technical direction and quality: Set a high bar for architecture, testing, observability, reliability, and maintainability in customer-facing integrations, especially where agentic systems interact with customer data, workflows, and business-critical experiences.

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