Jobs at Constructor

Lead product analytics by defining metrics, building metric frameworks, analyzing funnels and user behavior, designing and analyzing A/B tests, setting up instrumentation and dashboards, and partnering with product, engineering, and leadership to turn data into product strategy and measurable business impact.

Design and analyze A/B tests, apply statistics and machine learning to improve search, ranking, personalization and recommendations, analyze large-scale behavioral data, build models and tools, and communicate findings to technical and business stakeholders to drive key business metrics.

Design and build large-scale data pipelines and models, create dashboards and tools, define and validate business metrics, ensure data quality and performance across distributed systems, and partner with analysts, engineers, and product managers to deliver actionable analytics.

Analyze large-scale user and product data, design and evaluate A/B tests, define and validate product and business metrics, build dashboards and reports, and partner with engineers, data scientists, product, and customers to translate insights into product improvements.

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.

Design the demo and onboarding experiences for Constructor's e-commerce product discovery platform. Own visual strategy, map interactions for AI/LLM features, produce high-fidelity mockups and assets, and ensure designs scale within the company design system to help customers go live faster.

Develop and expand Constructor’s partner ecosystem across the UK and DACH by building relationships with systems integrators, agencies, ISVs, and technology partners. The role owns partner onboarding, activation, go-to-market strategies, executive engagement, and collaboration with sales leadership to drive partner-sourced revenue and successful ecommerce client deployments.

Manage a portfolio of enterprise ecommerce clients from onboarding through renewal and expansion. Build executive relationships, understand customer goals, demonstrate product and economic value, identify and mitigate account risks, lead renewals and upsells, and educate clients on new use cases and integrations. Collaborate cross-functionally with Sales, Customer Success, Solutions, Data Science, Product, and Engineering teams while maintaining accurate customer health, renewal, and expansion records.

Lead the Agentic Discovery product chapter, initially owning business tooling, dashboards, transparency, and controls for AI-powered commerce experiences. Define strategy, align ML, engineering, design, and go-to-market teams, scale experimentation, launch reliable LLM-powered experiences, and establish metrics tied to usage, conversion, revenue, and engagement. The role will expand to chapter-wide leadership across on-site, offsite, and integrated agentic discovery surfaces.

Own the full enterprise customer journey from kickoff through adoption and ongoing value realization. Build executive and technical stakeholder relationships, lead QBRs and EBRs, translate product performance into business outcomes, manage risks and escalations, provide strategic ecommerce recommendations, maintain success plans, and partner with Account Management on retention and expansion.

Own enterprise customer relationships from kickoff through adoption and ongoing value realization. Lead success plans, QBRs, executive conversations, escalations, stakeholder alignment, training, and strategic recommendations. Translate technical capabilities and performance data into business outcomes such as revenue, conversion, and customer experience. Partner with Account Management to support retention and expansion while improving scalable onboarding and support processes.

Develop and scale enablement programs for global Customer Success and GTM teams. Responsibilities include CSM onboarding, product and competitive training, technical and commercial playbooks, centralized knowledge management, internal communications, AI-enabled workflows, coaching support, and measurement of learning adoption and performance. The role partners with Product, Marketing, Sales, and CS leadership to improve time-to-productivity, retention, expansion, and ongoing product alignment.

Own enterprise customer success from kickoff through adoption and ongoing value realization. Build relationships with technical and executive stakeholders, align success plans, lead QBRs and EBRs, communicate measurable business impact, manage escalations, provide strategic ecommerce recommendations, and partner with Account Management on retention and expansion. Maintain customer documentation and improve onboarding and support processes.

Own enterprise customer relationships from kickoff through adoption and value realization. Lead success planning, QBRs and EBRs, executive stakeholder engagement, escalations, technical-to-business value translation, and proactive ecommerce recommendations. Partner with Account Management on retention and expansion, document customer needs, and improve scalable onboarding and support processes. Fluency in French and experience managing enterprise customers are required.

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.

Lead Constructor's end-to-end security program: manage compliance (SOC 2, ISO 27001), incident response, risk and access governance, vendor security, DLP, AI governance, security exercises, and customer-facing security communications while partnering with platform engineering on cloud and container security.

Lead product strategy for Query and Machine Learning & Recall teams to improve candidate retrieval and query understanding. Define roadmap, productionize SOTA models (vector search, embeddings, LLM-assisted parsing), build evaluation frameworks linking retrieval accuracy to revenue, optimize inference latency and costs, and drive measurable lifts in conversion and revenue.

Leads the Customer Developer Experience engineering team, setting technical strategy for open-source TypeScript and React tooling. Responsibilities include supporting external developers, improving documentation and integration workflows, prioritizing work with cross-functional teams, recruiting, mentoring engineers, and maintaining high standards for software quality, testing, and reliability.

Leads an engineering team building and scaling customer-facing integrations for agentic AI products. Responsibilities include setting technical direction, balancing customer delivery with reusable tooling and platform investments, ensuring reliability and observability, improving developer experience, collaborating cross-functionally, recruiting, and coaching engineers. The role requires customer empathy, strong engineering leadership, technical problem-solving, and experience with production systems or integrations.

Lead product marketing for Constructor's ecommerce search and discovery platform: define positioning, messaging, launches, competitive intelligence, and build a PMM team. Partner with Product, Sales, Growth, and Content to translate complex features into customer value, enable GTM, and drive pipeline and adoption.