Jobs at Constructor

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 technical discovery and solution design for ecommerce customers: design API integrations, build lightweight POCs, triage APIs/SDKs, deliver technical presentations, support RFPs, and partner with Product and Engineering to drive integrations and roadmap feedback. Act as primary technical advisor across sales cycles, accelerate evaluations, and represent the company in industry and prospect engagements.

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.

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.

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.

Generate and qualify leads for the DACH region through personalized research and outreach, collaborate with Account Executives and Marketing, maintain Salesforce records, experiment with messaging and channels, and represent the company at events to build a strong enterprise pipeline.

Build and enhance integrations, dashboards, and analytics to track and improve SEO/GEO traffic. Develop customer-facing features, run technical site checkups, partner with product teams to optimize content for external discoverability, and create tools and reports for SEO/GEO analysts.

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.

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.

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 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.

Lead product strategy for pre-sales data solutions and data science integrations to accelerate proof-of-concept velocity. Own prospect data ingestion, automate collection and processing (including via LLMs/agents), enable model fine-tuning, build analytical tools and dashboards for AEs, and create internal self-service tooling while aligning cross-functional stakeholders to close enterprise e-commerce deals.

Lead and scale a Customer Success team across EMEA to drive customer adoption, retention, and expansion. Ensure successful go-lives, build executive relationships, implement scalable processes, act as escalation point for complex issues, partner with Product and Engineering to prioritise customer-impacting work, and continuously improve onboarding and optimisation to maximise customer value.