Sales Engineer

made for enterprise ecommerce where conversions matter. Constructor's AI?first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. We believe that empowering everyone in a company to do what they think is best can lead to great things.
Role Overview As a Sales Engineer, you will lead the technical components of the sales process. You will act as a bridge between customer engineering teams and Constructor's Product and Engineering teams.
This role requires architectural thinking, integration planning, and consultative problem?

Key Responsibilities
Technical Sales & Solution Design Lead technical discovery and solution design for prospective customersDesign and document integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines)Develop and support tailored Proof Schedules (deeply tailored, data-backed custom demo, similar to a "proof of value")Deliver technical presentations to both business and technical stakeholdersServe as primary technical advisor during evaluation cyclesTroubleshoot and triage APIs, SDKs, and integration patternsWillingness to tinker and build demo prototypes and toolingBuild and present compelling custom technical demonstrations and integration blueprints tailored to each sales opportunitySupport RFP and RFI responsesCross?Functional Collaboration Partner with Product and Engineering to surface prospective customer feedback to influence product roadmap and integration strategyContribute insights to the roadmap and the go?to?market strategySupport enablement and training for sales teamsHelp refine documentation, processes, and best practices within the SE functionMarket & Industry Engagement Stay current on ecommerce trends, AI/ML advancements, and the competitive landscapeRepresent Constructor in prospect meetings, partner engagements, field events, and other industry engagementsBuild strong relationships with prospective customer technical stakeholders (architects, engineers, delivery teams)Required Qualifications & Skills 3+ years of experience in technical Solutions Engineering, Sales Engineering, Pre?Sales Architect, or Technical Pre?Sales rolesDeep hands?first platforms: comfortable working directly with REST APIs, JSON data structures, webhooks, and SDK integration patterns, and able to troubleshoot them with Postman or similar toolsWorking knowledge of JavaScript, TypeScript, Python, or similar languages, enough to read integration code, debug client?on experience with coding agents to automate workflows, amplify impact, and execute at scaleAbility to read the room, tailor your communication to diverse audiences, and identify detractors, champions, and key decision?technical audiencesAbility to empathize with prospects' challenges and goalsSkilled listener with innate curiosityPassionate about innovative technology, technical sales, and articulating value to prospectsEnjoys working with prospects and is comfortable interacting with C?suite executives from both technical and business perspectivesPreferred Qualifications Experience in enterprise ecommerce or retail technology environmentsHands?on familiarity with at least two major ecommerce platforms, including how each handles catalog structure, extensions, and headless versus templated frontendsDeep understanding of data mapping between backend systems such as PIM, ERP, or legacy search indexes into a new target schema, possibly including product and variant structures, facets, attributes, and pricing logicWorking knowledge of search and discovery conceptsExperience supporting security reviews and procurement requirements, including GDPR, data processing agreements, data residency, and ISO * or SOC 2 questionnairesAbility to build business value models that connect search improvements to revenue, conversion, or average order valueExposure to conversational or agentic shopping experiences, or retail media and sponsored product programsWhat Success Looks Like Prospects clearly understand technical integration pathsProof Schedules(deeply tailored, data-backed custom demo, similar to a "proof of value") align tightly with business outcomesTechnical objections are addressed proactively and effectivelySales cycles are accelerated through a strong technical partnershipProduct and Engineering receive actionable, structured market feedbackQualitative (peer and prospect feedback) and quantitative (sales metrics and customer health scores) feedback will be positive and ideally, excellentWorking Style Comfortable operating in a remote, distributed, and highly cross?functional environmentAble to manage multiple sales engagements and prio