You will lead the Agentic Discovery chapter by defining the product vision, strategy, and roadmap for AI-powered shopping experiences. You will also build business tooling and dashboards to provide transparency and control for internal teams and customers.
You will own the customer journey from project kick-off to ongoing value realization, ensuring clients achieve meaningful business outcomes. You will also build trusted relationships with enterprise stakeholders and translate technical product capabilities into clear business value.
You will own the end-to-end customer journey, ensuring successful product adoption and meaningful business outcomes for enterprise clients. You will also build trusted relationships with key stakeholders to drive strategic value, retention, and growth.
You will own the strategy and roadmap for the Product Discovery Engine, driving measurable improvements in search relevance and business outcomes like conversion and revenue. You will lead cross-functional teams to integrate machine learning research into production and establish a coherent vision for search quality across all retail verticals.
The Director of Information Security will own the end-to-end security program, including compliance, incident response, and risk management. They will also serve as a senior leader responsible for customer trust, sales enablement, and internal security advisory.
The Customer Success Enablement Manager will define and map the CSM journey while building technical and commercial playbooks to drive consistency and learning. They will also serve as a bridge between Product, Marketing, and CS teams to ensure effective onboarding and continuous product alignment.
You will own the customer journey from project kick-off to ongoing value realization, ensuring clients achieve meaningful business outcomes. You will also build trusted relationships with stakeholders and translate technical product capabilities into clear business value.
Manage the end-to-end customer journey, from project launch to ongoing value realization, ensuring high levels of customer satisfaction and business outcomes. Build and maintain strategic relationships with key stakeholders across enterprise organizations to drive product adoption and revenue growth.
You will develop and maintain UI solutions to integrate prospective customer data with AI-driven search services. Additionally, you will collaborate with cross-functional teams to build demo infrastructure and support the sales process through technical expertise.
You will act as the strategic lead for your book of business, managing enterprise renewal and upsell cycles while building strong client relationships. Additionally, you will collaborate with internal teams to provide product feedback and ensure customer health and satisfaction.
You will serve as a foundational technical support engineer for EMEA enterprise customers, managing complex inquiries across APIs, SDKs, and data integrations. You will also collaborate with internal product and engineering teams to resolve technical blockers and improve support documentation and processes.
You will lead an engineering team focused on developer experience, balancing hands-on technical support for external integrators with the development of open-source tooling. You are responsible for setting technical strategy, managing team performance, and driving high-quality software delivery.
Lead an engineering team in building and scaling agentic integrations for e-commerce products while balancing customer-specific delivery with long-term platform foundations. You will define technical strategy, manage cross-functional collaboration, and foster the career growth of your team members.
You will design, build, and maintain scalable cloud infrastructure while collaborating with software engineers to meet their infrastructure needs. Additionally, you will automate routine processes and enhance CI/CD pipelines to improve operational efficiency and system reliability.
The Senior Data Analyst will research product hypotheses to optimize key metrics like ROAS and churn rate while collaborating with cross-functional teams to drive product innovation. You will also own business metrics for advertisers and retailers and provide analytical support during the sales process.
Design, build, and operate high-load distributed backend services that power the company's machine learning infrastructure. Partner with ML and product teams to turn their needs into reliable, reusable platform capabilities.
The Director of Product Marketing will define and evolve the company's product positioning and messaging to clearly communicate value to prospects and customers. They will lead go-to-market strategies, orchestrate product launches, and collaborate with sales and product teams to drive adoption and revenue.
Design and build scalable data pipelines and models to transform raw events into actionable data products. Collaborate with cross-functional teams to define business metrics and create dashboards that drive decision-making.
You will define and validate metrics to measure product success while building frameworks that connect algorithm performance to business outcomes. Additionally, you will analyze user behavior and design A/B tests to identify opportunities and guide product strategy.
You will design and analyze A/B tests to measure the impact of machine learning models on key business metrics like revenue and conversion. Additionally, you will develop and improve search, ranking, and personalization algorithms while communicating insights to technical and business stakeholders.
You will lead the Machine Learning & Recall and Query teams to define a unified strategy for search intelligence and candidate generation. You will be responsible for driving business outcomes like conversion rate and revenue by bridging research with low-latency production execution.
The SDR is responsible for sourcing and qualifying business prospects to build the top-of-funnel sales pipeline. This involves managing high-volume outreach via email, LinkedIn, and calls to schedule meetings for the sales team.
Develop and maintain tools for the Searchandizing dashboard used by global e-commerce merchandisers. Focus on improving usability and enhancing the product discovery experience for shoppers.
Design, deliver, and maintain a web application and customer dashboard for retailers and brands. Collaborate with Product and Design teams to build Retail Media functionality using Typescript, React, and Python.
The role involves designing lifecycle campaigns to drive product adoption and managing relationships with tier-1 industry analysts like Gartner and Forrester. You will create customer success stories and manage the company's presence in major analyst evaluations.
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.
Build and own production backend services to optimize offsite search and discovery for ecommerce. Develop data integrations and maintain scalable systems that power millions of daily queries.
Build and maintain backend services for experiment assignment, logging, and report generation. Improve the scalability and reliability of reporting pipelines while adding product-facing features to the UI.
The role involves designing the future of product discovery, specifically owning the demo experience and onboarding process for large retailers. You will create vision work and practical tooling to help customers visualize and implement AI-powered search and recommendations.
Design, build, and maintain the critical infrastructure and foundational systems that power the in-house search engine. Ensure the platform remains scalable, resilient, and reliable while handling billions of daily requests globally.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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, 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.
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.
