• 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.

About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we’ve raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We’re also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the Role The Solution Engineering team at Metronome is a technical group that sits at the intersection of sales, growth, product, and R&D. In simple terms, we own the technical side of the customer lifecycle all the way from the very first discovery call through demos, POCs, technical scoping, and handover to our post-sales groups. We own the technical win for enterprise deals, from first discovery through technical close and handoff. As a member of the Solution Engineering team, you’ll primarily be focused on bringing on new enterprise customers. What You'll Do Using proficient discovery to understand what challenges our prospects face in billing, launching new products, pricing & packaging, quote-to-cash, customer experience, and related areas. Telling a clear value story about how and where Metronome solves those challenges and creates opportunities. Planning, building, and running customized demos of Metronome for buyers with many different personas (engineering, product management, operations, finance, etc). Building relationships with people at our prospect organizations, from day-to-day operators to C-Suite executives. We believe in meeting our customers in-person whenever possible. Designing integrations of Metronome into prospect systems and consultatively influencing the direction of our prospects’ pricing and packaging. Running tight Proofs of Concept with clearly-defined success criteria that get us to the technical win. Ensuring a proper handoff to our post-sales Professional Services, Solutions Architecture, and Growth counterparts. …all of this with prospects at the scale of our most strategic current customers (like Confluent, Databricks, OpenAI, and Anthropic). Expect these engagements to be complex, deep, technical, and most of all interesting . Metronome directly influences how the internet monetizes - AI is an obvious current example - and our group is on the front lines driving this influence with our prospects. Metronome is a startup. As such, there’s a lot still to figure out and tremendous room for high-agency people to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let’s talk. Qualifications Compensation The estimated salary range for this role is $150,000 - $250,000 OTE. In addition to your salary, Metronome offers a competitive total rewards package, including but not limited to market-benched equity, incentive pay, comprehensive health benefits, and other benefits listed below. The actual base salary will vary based on factors including market value, individual qualifications objectively assessed during the interview process, and previous experience. The listed range above should serve as a guideline and may be modified at any time. We believe that compensation reflects the expected impact you will have at the company, relative to the market value of your role. We also conduct an annual pay audit to ensure pay is fair, indexed to market value, and that pay takes into account continued performance at Metronome. If you would like to learn more about our philosophy or about why we are all billing nerds, send us a message. We’d love to talk! Benefits for Full-time employees: Excellent medical, dental, vision, and life insurance coverage, including a One Medical membership Paid parental leave FSA (Flexible spending account) Retirement planning - Traditional and ROTH 401(k) Flexible time off Employee assistance program (mental health benefits) Culture where personal growth is highly valued We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.