Build and deploy robust ML systems for search, including text, image, and multimodal approaches to improve relevancy and business KPIs. Tune LLMs and collaborate with technical teams to integrate models into production pipelines.
Constructor
41 Remote Job Openings at Constructor
The Customer Success Manager ensures customers successfully integrate and derive value from the search and discovery platform to increase revenue. Responsibilities include managing customer priorities, troubleshooting support requests, and collaborating with engineering teams to align product development with customer needs.
Own the end-to-end integration journey for customers and SIs to reduce time-to-value. Define and drive a roadmap for SDKs, UI libraries, and data instrumentation to improve integration correctness and reliability.
Manage a fast-paced mid-market sales territory by owning the entire sales cycle from discovery to closing. Collaborate with the product team to provide customer feedback and ensure the development of valuable features.
Lead and scale a high-performing Customer Success team across the EMEA region to drive customer outcomes, retention, and expansion. Act as a key conduit between customers and internal Product and Engineering teams to optimize the search and discovery platform.
Build and lead the Product Marketing practice, owning positioning, messaging, and GTM strategy for the ecommerce search platform. Partner with cross-functional teams to launch new features and translate complex technical capabilities into value-driven customer narratives.
Establish and grow Constructor's partner ecosystem in France by managing relationships with SIs, agencies, and ISVs. Drive revenue and market reach through strategic go-to-market plans and successful client deployments.
Drive product strategy for Prospect Data Solutions and Science Integrations to accelerate pre-sales success and reduce time-to-value for prospects. Focus on automating data collection, fine-tuning AI models, and building analytical tools to empower sales teams with data-driven narratives.
Improve e-commerce discovery by bridging the gap between onsite search and external platforms like Google and Generative engines. Build foundations to track visibility and traffic while creating tools for technical SEO checkups and best practice scaling.
Lead and scale the Offsite Discovery team to build a performant and scalable platform for personalized offsite ecommerce experiences. Responsibilities include setting engineering strategy, guiding engineer growth, and partnering with product managers to achieve business impact.
Build products that transform advanced AI models into usable e-commerce experiences, including configuration dashboards and reusable UI libraries. Collaborate with AI/ML teams to deliver scalable solutions that enhance the shopper discovery journey.
Analyze large-scale user behavior datasets to identify patterns and drive product improvements. Design and evaluate A/B tests and build dashboards to measure the impact of product changes on business metrics.
Develop and maintain customer dashboard features using TypeScript and React to help marketers manage multichannel ecommerce campaigns. Collaborate with cross-functional partners to innovate and implement web application functionalities integrated with Python backend services.
Own the product strategy and execution for the prospect-facing demo and sandbox platform to accelerate revenue. Develop repeatable demo flows, ensure release-readiness for new features, and establish a structured intake system for sales requests.
Design, deliver, and maintain high-load backend web services using Python and FastAPI for a retail media platform. Implement CI/CD pipelines, service observability, and collaborate with cross-functional partners to develop new functionalities.
Build relationships with high-value prospective customers and manage the entire sales cycle from lead to close. Collaborate with engineering and product teams to ensure features meet customer needs and drive business value.
Build relationships with high-value prospective customers and manage the entire enterprise sales cycle from lead to close. Collaborate with engineering and product teams to align features with customer needs and drive revenue growth.
Manage a fast-paced mid-market sales territory by owning the entire sales cycle from discovery to closing. Collaborate with engineering and product teams to align feature development with customer needs and business value.
Act as the strategic lead for a book of business, managing complex enterprise renewal and upsell cycles. Build strong client relationships to align Constructor's solutions with business goals and provide feedback to internal product teams.
Own the activation, performance, and revenue growth of AI-powered email recommendation offerings for retail and e-commerce clients. Serve as a strategic partner to design and scale high-performing recommendation-driven email programs across various messaging lifecycles.
The SDR is responsible for sourcing and qualifying business prospects to build the top-of-funnel sales pipeline. This involves managing high volumes of outreach via email, LinkedIn, and calls to schedule meetings for the sales team.
Senior Product Manager - Search Quality and Query Interpretation
Constructor
·
Full Time
·
7 days ago
Constructor
Lead the strategy and roadmap for search quality and query interpretation to optimize recall and precision. Collaborate with ML and infrastructure teams to build tools and metrics that measure and explain result quality.
Draft and negotiate SaaS customer agreements and provide legal support for EMEA customer relationships. Serve as a trusted advisor on European privacy laws and manage the data protection compliance program.
Lead the end-to-end analyst relations program by managing relationships with firms like Gartner and Forrester and overseeing major evaluation cycles. Design and execute customer marketing campaigns to drive product adoption and build a robust customer advocacy program.
Lead the technical components of the sales process by designing integration architectures and conducting technical discovery with prospective customers. Act as a bridge between customer engineering teams and internal Product and Engineering teams to influence the product roadmap.
Provide first-level technical support to ecommerce customers integrating their platforms with Constructor's search and discovery services. Responsibilities include onboarding support, API guidance, troubleshooting integration issues, and configuring product catalogs.
Provide first-level technical support to ecommerce customers integrating their platforms with Constructor's AI search services. Responsibilities include onboarding support, API guidance, troubleshooting technical issues, and configuring product catalogs.
Own and scale the partner marketing program across ISV and SI partnerships in North America, APAC, and LATAM. Build joint go-to-market strategies to generate brand awareness, measurable pipeline, and revenue impact.
Lead the Recommendations team to build a high-quality recommendations-as-a-service product while driving key business metrics. Responsible for hiring, coaching engineers, and translating product goals into executable engineering plans.
Design and maintain scalable backend services for attribute enrichment and badges to improve e-commerce search and discovery. Collaborate with ML engineers to optimize service performance and build observability and CI/CD systems from scratch.
Senior Product Manager - Merchant Intelligence and Analytics
Constructor
·
Full Time
·
7 days ago
Constructor
Lead a cross-functional team to build intelligence products that translate complex e-commerce data into actionable business insights for various stakeholders. Develop and execute a product strategy for reporting and ROI visibility to prove the value of the product discovery platform.
Design novel AI-driven shopping experiences and interaction patterns for both shoppers and merchandisers. Own the end-to-end process from research and validation to high-fidelity delivery across various e-commerce surfaces.
Focus on improving e-commerce search relevance through LLM-based evaluation and real-time quality improvements. Develop automated monitoring pipelines and agentic systems to detect degradations and provide actionable product recommendations.
Lead a team of Account Managers to drive upsell revenue and net revenue retention. Manage the end-to-end renewals and cross-sales process while collaborating with C-level executives and Engineering to align product roadmaps with customer needs.
Build foundations to track visibility and performance across SEO and Generative Engine Optimization (GEO). Develop tools, reports, and architecture to assess customer website optimization and improve KPIs.
Design, deliver, and maintain high-load real-time web services for an AI-first ecommerce search and discovery platform. Build and optimize machine learning-based ranking systems and feature stores to improve search and browse experiences.
Design, deliver, and maintain high-load real-time web services for recommendations in collaboration with cross-functional teams. Implement CI/CD pipelines, service observability, and monitoring using tools like Prometheus and Grafana.
Provide first-level technical support to ecommerce customers integrating their platforms with Constructor's AI search services. Responsibilities include onboarding support, API guidance, troubleshooting technical issues, and configuring product catalogs.
Manage and develop a team of Enterprise Account Executives, focusing on hiring, onboarding, and sales enablement. Responsible for overseeing a strategic enterprise sales process and reporting pipeline metrics to the Head of NA Sales.
Lead a cross-functional team of ML and backend engineers to develop the machine learning foundation for personalization in search and browse. Act as a player-coach by contributing to architecture and model design while driving retailer KPI improvements.
Own the strategy and execution of multi-channel campaigns to drive sales-qualified opportunities across the funnel. Manage 1:few and 1:many programs while leveraging the marketing tech stack to optimize conversion and report on pipeline contribution.