Engineering Manager – Agentic Integrations

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Logo of Constructor

Constructor

201 - 500 employees

Founded 2015

☁️ SaaS

🤖 Artificial Intelligence

🛍️ eCommerce

💰 $25M Series B - Constructor on 2024-06

SaaS • Artificial Intelligence • eCommerce

Constructor is an AI-native, API-first platform that provides product search and discovery solutions optimized for e-commerce. The company offers a commerce reasoning engine and a suite of features — search, autosuggest, personalized recommendations, AI shopping agents, attribute enrichment, retail media, and cross-channel discovery — to help retailers and enterprises deliver personalized discovery experiences across onsite and offsite touchpoints. Constructor positions itself as a specialist in product discovery for both B2C and B2B retail, integrating with existing tech stacks and emphasizing transparent, explainable AI for merchandising and conversion optimization.

📋 Description

• Lead engineers building and scaling integrations for Constructor’s agentic products across the customer base • Set the team’s technical and operational direction for customer engagement, scalable integration work, deployment quality, and product/platform improvements • Balance hands-on customer integration delivery with reusable tooling, templates, documentation, automation, and platform investments • Collaborate with Product, ML, Customer Success, Solutions, and Engineering teams to prioritize needs and feed integration learnings into the product roadmap • Establish standards for architecture, testing, observability, reliability, and maintainability in customer-facing integrations • Create processes for scoping integrations, managing commitments, handling escalations, tracking risks, and ensuring consistent customer experiences • Improve developer and implementation experience through documentation, reference implementations, reusable components, playbooks, and debugging tools • Own end-to-end recruiting and hiring for the team • Coach and develop engineers, provide feedback, create growth opportunities, and help them navigate ambiguity

🎯 Requirements

• 5+ years of software engineering experience • 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 that build customer-facing, production-grade systems or integrations • Strong analytical and problem-solving skills, including triaging ambiguous customer issues and translating them into technical plans • Comfort working directly with customers on technical discovery, scoping, expectation-setting, troubleshooting, and tradeoffs • Ability to collaborate with Product, ML/Data Science, Customer Success, Solutions, and Engineering stakeholders • Strong written and verbal communication skills, including explaining complex technical topics to technical and non-technical audiences • Good product judgment and customer empathy • Experience with LLMs, agentic systems, ML-powered products, recommendations, search, personalization, or data-heavy SaaS products is a strong plus • Experience building reusable tooling, frameworks, SDKs, integration templates, or internal platforms is a plus • English at B2 level (CEFR) or higher • Able to attend regular meetings between 1300 and 1700 UTC • Passion to help fuel the continued success of a high-growth startup

🏖️ Benefits

• Unlimited vacation time - we strongly encourage all employees to take at least 3 weeks per year • Fully remote team - choose where you live • Work from home stipend • Apple laptops provided for new employees • Training and development budget - refreshed each year for every employee • Maternity & Paternity leave for qualified employees • Work with smart people who will help you grow and make a meaningful impact • Stock options - offered in addition to the base salary • Regular team offsites to connect and collaborate

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