Constructor

• Design and build data pipelines and data models that power analytics and reporting • Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy • Define and validate business metrics together with stakeholders, not just implement them • Ensure data quality, consistency, and performance across systems processing billions of events • Partner with analysts, engineers, and product managers to translate business needs into well-designed data solutions • Work with SQL, Python, and distributed data systems at very large scale

• Define and validate the metrics that product teams use to measure success • Build metric frameworks connecting product and algorithm performance to business outcomes like revenue and conversion • Analyze user behavior and product funnels to identify opportunities and guide product strategy • Design, run, and analyze A/B tests to evaluate product changes • Set up analytics for product areas, from instrumentation to dashboards and reporting • Partner closely with product managers, engineers, and leadership to turn insights into decisions

• Design, run, and analyze A/B tests measuring impact on key business metrics like revenue, conversion rate, and profit • Apply statistical methods and machine learning to solve business and product problems • Develop a deep understanding of how our search, ranking, and personalization algorithms work, and how to evaluate and improve them • Analyze large-scale behavioral data to generate insights and recommendations for customers and internal teams • Build analyses, models, and tools that help teams make better decisions • Communicate findings clearly to technical and business stakeholders

• Onboarding support: Collaborating with customers to understand their technical integration needs and assist them through the integration process. • API and library education: Providing expert guidance on integrating with Constructor's APIs and utilizing open source libraries. • Troubleshooting: Helping resolve technical challenges and integration issues alongside Customer Success teams. • Index configuration: Working with customers to ensure their product catalogs are properly configured, including uploading catalog data, configuring facets, searchabilities, sort orders, and retrieving results. • Communication: Acting as a liaison between customers and other technical resources, responding promptly to inquiries with clear explanations. • Process improvement: Documenting customer interactions, common issues, and solutions, improving integration documentation and customer onboarding.

• Onboarding support: Collaborating with customers to understand their technical integration needs and assist them through the integration process. • API and library education: Providing expert guidance on integrating with Constructor's APIs and utilizing open source libraries. • Troubleshooting: Helping resolve technical challenges and integration issues alongside Customer Success teams. • Index configuration: Working with customers to ensure their product catalogs are properly configured, including uploading catalog data, configuring facets, searchabilities, sort orders, and retrieving results. • Communication: Acting as a liaison between customers and other technical resources, responding promptly to inquiries with clear explanations. • Process improvement: Documenting customer interactions, common issues, and solutions, improving integration documentation and customer onboarding.

• Develop and execute product strategy for business intelligence and insights • Build actionable reporting to communicate business impact • Own cross-product revenue breakdown • Conduct customer research across personas and industries • Collaborate closely with product teams to ensure data quality

• Onboarding support: Collaborating with customers to understand their technical integration needs and assist them through the integration process. • API and library education: Providing expert guidance on integrating with Constructor's APIs and utilizing open source libraries. • Troubleshooting: Helping resolve technical challenges and integration issues alongside Customer Success teams. • Index configuration: Working with customers to ensure their product catalogs are properly configured, including uploading catalog data, configuring facets, searchabilities, sort orders, and retrieving results. • Communication: Acting as a liaison between customers and other technical resources, responding promptly to inquiries with clear explanations. • Process improvement: Documenting customer interactions, common issues, and solutions, improving integration documentation and customer onboarding.

• Own the strategy and roadmap for improving how we interpret and respond to user queries. • Drive development of search quality models that optimize recall and precision. • Define and build tools and metrics that help us measure and explain result quality. • Collaborate closely with ML, infrastructure, and product teams across the stack. • Lead investigation and triage when search quality issues arise and design long-term solutions. • Benchmark our quality against competitors and push for continuous improvement.

• The Core Team sits at the heart of Constructor, shaping Constructor’s in-house search engine, where user requests meet customer catalogs and Constructor’s learnings. • We build and operate the foundational systems that power every request flowing through the platform, enabling fast, reliable, and intelligent interactions at massive scale. • Our systems handle billions of requests daily with exceptional uptime, and we take pride in delivering a highly scalable, resilient, and globally distributed platform. • As part of the Core team, you will help design, build, and maintain the critical infrastructure and services that underpin the entire product, ensuring performance, stability, and reliability across the globe.

• Build and evolve demo flows and sandbox experiences that make Constructor's AI and personalization capabilities viscerally compelling for prospects — with a focus on AI-forward storytelling, explainability, and conversion-relevant differentiation. • Drive a demo reliability programme: instrumentation, regression coverage, stubbing strategy, and measurable AE trust signals — so sales reps can demo with confidence. • Own the release-readiness process: create a lightweight "demo-readiness" bar and cross-team process so new product capabilities are available and trusted in demos immediately after release. • Establish a clear intake + prioritization system for demo requests, turning reactive asks from Sales into a structured, evidence-backed roadmap. • Enable self-serve sandbox workflows that reduce PUIS engineering involvement for repeatable AE tasks. • Drive the Disruptive Demo as an "inspire-the-future" asset — coherent, shippable, and reusable as a storytelling tool across the org. • Set the foundation for Product-Led Growth: identify PLG wedges, define hypotheses and metrics, and (if warranted) incubate a growth squad.