Jobs at Constructor

Manage enterprise customer success by guiding product integrations, troubleshooting support issues, prioritizing engineering requests, creating documentation and training materials, and ensuring customers achieve strong results. The role requires understanding organizational stakeholders, aligning priorities, communicating effectively, and continuously improving the integration and customer experience.

Own the end-to-end design, delivery, operation, and improvement of high-traffic Python backend services powering search, autocomplete, browse, recommendations, and public configuration APIs. Responsibilities include API evolution, distributed systems architecture, performance and reliability improvements, observability, incident response, code review, mentoring, and cross-functional collaboration. The role involves on-call ownership, scalable service design, backward compatibility, and leading small engineering initiatives.

Generate and qualify sales leads through outbound emails, calls, and LinkedIn Sales Navigator. Schedule meetings with qualified prospects, manage lead data in Salesforce, personalize customer introductions, evaluate sales processes, and collaborate with the sales team to improve conversion and downstream deal success.

Build full-stack prospect demo solutions for ecommerce search and discovery products. Develop JavaScript data collection tools, front-end integrations, ETL workflows, dashboards, alerts, and open-source UI libraries and REST clients. Validate prospect data, support integrations, answer technical questions, collaborate with sales and product teams, and contribute to automated testing, code reviews, and demo infrastructure.

Own the strategy and roadmap for Constructor’s search quality and Product Discovery Engine. Drive measurable improvements in relevance, conversion, revenue per visit, and GMV across retail verticals. Partner with ML, data science, and engineering teams to productionize state-of-the-art retrieval, ranking, query understanding, personalization, and LLM capabilities. Establish evaluation frameworks, investigate quality issues, align multiple teams, and expand into chapter-wide product leadership.

Leads customer implementations from kickoff through integration, testing, and activation. Coordinates internal technical teams, customers, and partners against shared plans; manages milestones, dependencies, risks, scope, communications, and handoffs. Maintains implementation reporting, ensures predictable go-live outcomes, and develops scalable processes, templates, standards, and automation-first operating practices across the implementation portfolio.

Own the architecture, performance, reliability, and technical direction of high-traffic backend services and public APIs supporting search, browse, autocomplete, and recommendations. Lead distributed-systems design, mentor engineers, drive cross-team projects, participate in on-call and incident response, and balance scalability, latency, cost, and API compatibility.

Manage full enterprise sales cycle for ecommerce SaaS: build relationships with decision makers, negotiate contracts and pricing, marshal engineering resources, close six-figure deals, shorten time-to-sale, and relay customer feedback to product.

Own strategic relationships for a book of enterprise ecommerce clients, drive renewals and upsells, surface risks, educate customers on product value and use cases, analyze ecommerce performance/A-B tests, and coordinate cross-functional initiatives to meet retention and growth targets.

Lead relevance evaluation and quality improvements by fine-tuning LLMs, building low-latency reranking and filtering systems, scaling LLM deployments, creating automated monitoring pipelines and agentic insights, and validating impact via A/B tests while collaborating with cross-functional teams.

Own and manage full enterprise sales cycles for LATAM accounts: build relationships with decision-makers, negotiate terms, close six-figure deals, marshal engineering resources, and relay customer feedback to product teams to drive adoption and product improvements.

Design, build, and maintain scalable AWS infrastructure using IaC. Improve CI/CD pipelines, implement monitoring and observability, automate routine infrastructure tasks, manage cross-account AWS environments, and advise engineering teams on best practices to ensure reliability, security, and performance.

Build and maintain Python backend services for experiment assignment, logging, and report generation. Improve scalability, performance, and reliability of experiment reporting pipelines. Add product-facing UI features, take technical ownership of projects, and participate in weekly on-call rotation. Collaborate with Search/Recommendations, ML/DS, and customer-facing teams.