Jobs at Constructor

Build and maintain tools for merchandisers to manage product discovery. Deliver features for the Searchandizing dashboard, improve usability, own full stack projects from idea to production, work with PMs/Designers/EMs, and handle testing, CI/CD, deployment, and production ownership.

Lead customer marketing campaigns to drive product adoption, advocacy, and expansion. Build customer stories, manage a reference/advocacy program, and partner with Product, CS, and Sales. Own analyst relations strategy and execution: briefings, evaluations, intelligence tracking, and maintaining relationships with Gartner, Forrester, IDC, and other analysts.

Lead technical sales by conducting technical discovery, designing and documenting API-based integrations (PIM/CMS/ecommerce), building lightweight POCs, triaging REST APIs/SDKs, delivering technical presentations, supporting RFIs/RFPs, and partnering with Product and Engineering to inform roadmap and enable sales.

Build and own production backend services in Python for a large-scale ecommerce search platform. Work with SQL-heavy systems, monitoring/alerting, and debugging user-facing systems. Deliver maintainable software via tests, code review, and incremental delivery. Collaborate on data integrations and optional ETL/ELT workflows with PySpark; apply SEO, API/auth, and unstructured data knowledge when needed.

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.

Design, build, and maintain the foundational, high-scale search engine systems powering billions of daily requests. Work on backend infrastructure, deployment automation, capacity planning, observability, performance-critical code, and production operations while collaborating with a team to ensure reliability and scalability.

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.

Own the end-to-end integration journey for developer customers and SIs, improving SDKs, tracking, validation tooling, and docs to reduce time-to-value, defects, and escalations while partnering cross-functionally and defining CDX+CDI KPIs.

Design, build, deploy, and maintain high-load, real-time ML-based ranking services and a Ranking Platform. Improve performance, feature delivery (feature store), CI/CD, and collaborate with DS, MLEs, and stakeholders.

Provide first-level technical support and onboarding for e-commerce customers integrating Constructor's platform. Guide API and library integration, troubleshoot issues, configure product index settings, communicate between customers and internal teams, and document processes to improve onboarding and integration resources.

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 and develop a team of Enterprise Account Executives to drive strategic, consultative enterprise SaaS sales. Hire, onboard, enable, and coach AEs; manage long, complex deal cycles, negotiate with procurement and C-level stakeholders, and report pipeline and sales metrics to Head of NA Sales.

Lead and develop a team of Account Managers to drive upsell revenue and net revenue retention. Own renewals, upsell and cross-sell processes, pipeline reporting, customer QBRs, and pitching new product capabilities. Collaborate with C-level, engineering, and customer success to identify opportunities and execute complex enterprise sales cycles.

Lead partner ecosystem development in France: identify, onboard, and grow SIs, agencies and ISV/tech partners; define GTM strategies with sales leadership; manage executive relationships; drive partner-sourced revenue and successful ecommerce client implementations.

Generate and qualify enterprise leads for the UK market through researched, personalized outreach. Collaborate with Account Executives and Marketing, maintain Salesforce records, experiment with messaging and channels, and represent the company at events. Focus on starting consultative conversations and building a high-quality pipeline.

Own strategy and execution of multi-channel demand gen campaigns to drive sales-qualified opportunities. Build 1:few account-based plays and 1:many nurtures (email, webinars, paid), manage audience segmentation and A/B tests, leverage HubSpot/6sense/Salesforce for targeting and reporting, and collaborate with Sales, Content, and Product Marketing to hit pipeline targets.

Lead a cross-functional personalization team building production ML systems for search and browse. Own model design, user representations, embeddings, segmentation, offline evaluation, experimentation, and metrics-driven iteration. Hire, mentor, partner with product/engineering, and contribute technically to architecture and implementation to drive measurable retailer KPI improvements.

Own the product strategy and execution for demo and sandbox experiences that enable AEs/SEs to sell Constructor's AI-driven search. Build reliable, scalable demo flows, drive demo-readiness and reliability programs, prioritize demo requests, enable self-serve sandboxes, and incubate PLG opportunities to accelerate revenue.

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.

Build and deploy production ML systems for large-scale ecommerce search and recommendations using text, image, and multimodal approaches. Tune and integrate LLMs and transformer models, develop end-to-end visual solutions, improve business KPIs through experimentation, and collaborate across teams to productize and scale ML capabilities.