Jobs at Constructor

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.

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.

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.

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.

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.

Source and qualify top-of-funnel leads using outbound automation, email, LinkedIn Sales Navigator, and calls. Manage lead data in Salesforce, collaborate with sales to convert opportunities, iterate on outreach messaging, and provide feedback to improve the sales process. Opportunity to advance into an Account Executive role.

Lead and scale partner marketing across ISV and SI partnerships in North America, APAC, and LATAM. Build and execute joint go-to-market programs that drive brand awareness and measurable pipeline, enable partners to recommend Constructor, and align cross-functionally with Partnerships, Sales, Product, and Marketing to produce revenue impact.

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.

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 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.

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 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.

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.

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.