As Solution Architect, you will be part of KNOREX’s exciting expansion into new markets. We are looking for an energetic, high output, customer centric and results and solutions-oriented candidate with excellent communication skills and the ability to thrive in a fast-paced cross-functional team environment. Roles and Responsibilities Support the sales team by serving as a technical solution expert in client meetings and calls Overseeing the XPO platform evaluation stage of the sales process, working closely with all stakeholders as the key technical advisor and product advocate to prospective clients Develop and deliver technical sales presentations and product demonstrations Communicate relevant products new features and capabilities as they become available, and ensure successful deployment with clients Articulate technology and solution positioning to both technical and non-technical audiences and establish strong customer relationships throughout the pre-sales and post-sales process Prepare responses to RFIs and/or RFPs Compile customer requirements and develop use-cases to increase sales from existing accounts strategically Requirements The ideal candidate is highly technical and has strong communication skills with the ability to convey technical information clearly to technical & non-technical audiences. An experience with managing enterprise level clients, dealing with key stakeholders and focused on account retention and growth Experienced in online advertising account management, marketing consulting and/or brand management or yield optimization Skill Sets 5-8 year's experience in Ad Tech or sales engineering on digital platforms A Bachelor’s degree in Computer science or IT 5-8 years in one of the following industries: AdTech, SaaS, Consulting, Marketing (client-side) A strong understanding of the Digital Marketing/Advertising solutions - programmatic, tag management solutions, DMPs, DSPs, types of digital marketing channel and/or any other 3+ years of direct people management experience is a plus Strong analytical skills. Must be comfortable with MS Excel, data analysis, and Internet technologies Good awareness about information security and confidentiality We are an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Design comprehensive MES architecture solutions aligned with business requirements • Define system interfaces, data flows, and integration points with ERP, WMS, SCADA, and other enterprise systems • Develop technical specifications, system blueprints, and implementation roadmaps • Ensure scalability, reliability, and performance of MES solutions • Lead MES implementation projects from conception to deployment • Configure and customize MES platforms (COTS or Custom Developed Solutions) • Integrate manufacturing systems with databases, PLCs, HMIs, and IoT devices • Develop APIs and middleware solutions requirements for seamless data exchange • Analyze manufacturing workflows and identify optimization opportunities • Design solutions for production tracking, quality management, and inventory control • Implement real-time manufacturing dashboards and reporting systems • Support lean manufacturing and continuous improvement initiatives • Collaborate with cross-functional teams including IT, operations, and engineering • Provide technical guidance to development teams and system administrators • Establish best practices for MES development and maintenance • Mentor junior team members and conduct technical reviews

About Zingtree Zingtree helps high-stakes customer support teams deliver fast, consistent, and compliant answers—every time . Our AI Automation platform enables support-agents and end-consumers to follow complex procedures with ease, resolve issues faster, and ensure customers get the right outcomes in moments that matter. Zingtree helps leading customer support organizations transform self-service, streamline support agent workflows, and deliver exceptional customer experiences. Zingtree is trusted by over 500 customers including industry leaders like Corpay, Experian, Optum / UnitedHealth Group, Allianz, SharkNinja, Sony, and Groupon to power intelligent automation across finance, healthcare, insurance, consumer services / products, and tech . These organizations rely on Zingtree to reduce handle times, increase FCR, improve CSAT, and stay compliant — all without overloading IT. As demand for governed AI and guided CX grows, we’re scaling our team to help more enterprises take control of their most complex support workflows. We are seeking a SaaS Solutions Architect with strong project management capabilities and a passion for building conversational AI workflows. This is a hands-on, individual contributor role ideal for someone who excels at guiding clients through the technical implementation of intelligent support solutions. In this role, you’ll own the end-to-end deployment process—from systems integration to the design, build, and launch of conversational AI workflows tailored to each customer’s needs. You’ll work closely with both client stakeholders and internal teams to deliver seamless automation, configure advanced integrations, manage timelines, and ensure a successful go-live. This position requires a unique blend of technical expertise, AI workflow design experience, and a customer-first mindset to drive real impact for support organizations. The role reports into the COO and in order to best support our UK clients, we're only accepting applicants based on the East Coast of the U.S. or in the United Kingdom. What You'll Do Solution Design & Customization : Design, demo and build tailored AI-driven and conversational workflows that align with customer support objectives. Leverage decision trees and natural language interfaces to streamline complex support interactions. Technical Configuration & Integration : Collaborate with client IT teams to configure and integrate Zingtree with CRMs, APIs, and third-party platforms—ensuring reliable data exchange and conversational AI compatibility. Client Onboarding & Planning : Lead onboarding sessions to gather business requirements, understand customer support processes, and define project goals, with a focus on identifying opportunities for conversational automation. Who You Are Work Experience: 4+ years in a solutions architect, customer engineering, technical project implementation roles, with at least 2+ years in enterprise B2B SaaS, preferably in customer support or contact center solutions, and with start-up experience. Conversational AI & Technical Expertise: Proven hands-on experience with automation technologies and integration architectures, including APIs, authentication protocols, middleware, web services, and messaging patterns. Proficiency in technologies enabling conversational AI—such as large language models (LLMs), prompt engineering, AI-led agentic workflows, and real-time decisioning. Strong front-end skills (JavaScript, CSS, JSON) and familiarity with ETL/data transformation. Experience integrating with CRMs (especially Salesforce and Zendesk) is a significant plus. Business Acumen: Specializes in digesting complex business requirements and designing comprehensive and integrated workflow solutions that are flexible and adaptable to the client's needs. Analytical Mindset: Proficient in troubleshooting technical challenges and collaborating with cross-functional teams to find solutions. Ability to quickly understand operational processes and identify areas the technology can condense and/or optimize the processes. Client-Facing Expertise: Exceptional communication and interpersonal skills; experience interfacing with customers to manage expectations, resolve issues, and ensure project success. Ability to clearly articulate technical topics to a non-technical audience, including experience working with executives. What We Offer Competitive Compensation with performance-based incentives Health, Dental, and Vision Benefits (100% covered for employees) Equity Stock Options 401(k) Retirement Plan Paid Parental Leave Unlimited PTO Flexible Remote Work Environment $500 Home Office Stipend + Monthly Internet/Phone reimbursement Co-Working Reimbursement up to $200/month Our Core Values Lead with Action – We move fast with purpose People Really Matter – We win as a team and support each other fully Ownership Leads to Results – We take responsibility and deliver Expertise Creates Value – We build and apply knowledge Transparency Builds Trust – We communicate clearly, directly, and with care. As Zingers, we operate with a mindset that blends urgency, intelligence, and humanity. Zingtree Mission Empowering teams to resolve complex customer issues with confidence, clarity, and control. We believe the future of customer experience belongs to those who can orchestrate outcomes—not just automate tasks. Zingtree Vision Creating a world where every customer interaction is accurate, compliant, and effortlessly scalable. #LI-Remote #LI-EG1

Who We Are At RelationalAI , we’re solving one of the most important challenges in artificial intelligence: how to teach large language models the logic, semantics, and business context of the modern enterprise. Frontier models are trained almost entirely on public data — they can speak about the world, but they don’t understand your business. We fix that. RelationalAI has pioneered a breakthrough called Superalignment — technology that enables LLMs to learn natively from private, structured enterprise data inside the data cloud. By combining this with relational knowledge graphs and our proprietary neuro/symbolic-relational reasoners , we deliver trustworthy decision intelligence : systems that use semantic models to truly understand how a business operates and can reason across its data to drive better outcomes. We’re a globally distributed team of engineers, scientists, and builders redefining how AI learns from data. We believe that high-stakes decisions deserve frontier intelligence — intelligence that’s explainable, aligned, and grounded in reality. If you’re driven by curiosity, thrive in complexity, and want to help build the system that brings true understanding to enterprise AI, you’ll feel right at home here. The Role As a Solution Engineer , you’ll be at the forefront between our technology and our customers’ toughest challenges. You’ll partner closely with customer executives and domain experts to uncover their most critical decision challenges — from optimizing supply chains and reducing risk exposure to detecting fraud or forecasting demand. You’ll scope and design intelligent data and decision applications that apply RelationalAI’s reasoning technology to these problems, becoming a trusted technical advisor who helps organizations reason about their operations in innovative ways. Your job is part architect, part engineer, part consultant — and fully owner. You’ll engage directly with technical and business leaders to model their world and bring reasoning and intelligence into their data workflows. You’ll help customers apply our platform’s decision intelligence framework to their unique data and logic — combining repeatable patterns with creative problem solving to drive measurable impact. You’ll learn fast, think deeply, and shape how the world experiences decision intelligence. Solution Engineers at RelationalAI are technical entrepreneurs in the field — hands-on, customer-embedded technologists who own outcomes end-to-end, from concept to production. What You’ll Do Design and build decision solutions using RelationalAI’s modeling, reasoning, and learning capabilities Lead technical discovery and design with customers — run workshops, demos, and proofs-of-concept to translate complex problems into executable models. Own end-to-end delivery — from scoping and implementation to optimization and success metrics Collaborate across teams — partner with Product, Engineering, and GTM to ensure customer insights drive our roadmap. Educate and enable — create reusable assets, deliver hands-on training, and mentor peers on modeling best practices. Drive technical excellence — identify performance bottlenecks, improve scalability, and ensure production-grade reliability. Who You Are (The Intrinsics) Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field 5+ years of software engineering or technical consulting experience 3+ years in solution engineering, pre-sales, or data application delivery roles Strong knowledge of relational databases, SQL, and cloud data platforms (e.g., Snowflake, BigQuery, Redshift) Experience with programming or scripting (Python, Julia, Shell, etc.) for integrations and prototypes Proven ability to translate complex technical ideas into clear business value Comfortable operating in high-autonomy, high-velocity environments Preferred Qualifications Experience building analytical, decision, or reasoning applications in production Familiarity with rule-based, optimization and/or predictive systems Understanding of semantic modeling, data pipelines, and governance best practices Prior experience in enterprise technology, AI, or analytics platforms The Solution Engineer position offers a base salary range of $170,000 to $230,000, along with equity and comprehensive benefits. Please note that this range serves as a guideline; actual total compensation may vary based on factors such as experience, skill set, qualifications, and geographic location. Why RelationalAI At RelationalAI, you will: Work from anywhere in the world Earn competitive salary + equity Enjoy open PTO, flexible schedules, and recharge weeks Access global benefits, mental-health support, and learning stipends Join a transparent, inclusive, and globally connected culture that values curiosity, excellence, and impact Regular team offsites and global events – Building strong connections while working remotely through team offsites and global events that bring everyone together. A culture of transparency & knowledge-sharing – Open communication through team standups, fireside chats, and open meetings. Country Hiring Guidelines: RelationalAI hires people from around the world. All of our roles are remote; however, some locations might carry specific eligibility requirements. Because of this, understanding location & visa support helps us better prepare to onboard our colleagues. Our People Operations team can help answer any questions about location after starting the recruitment process. How to Apply If you’re driven by understanding, powered by curiosity, and ready to help shape the next era of enterprise intelligence — we’d love to hear from you. Join us and help build the reasoning layer for the modern enterprise. Privacy Policy: EU residents applying for positions at RelationalAI can see our Privacy Policy here . California residents applying for positions at RelationalAI can see our Privacy Policy here RelationalAI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.