
Quiq
Remote Jobs
Powering conversations between consumers and businesses.
5 Jobs
Senior Solutions Engineer, Enterprise AI & CX (US Remote)
QuiqPowering conversations between consumers and businesses.
Role Overview We are seeking a technically deep, hands-on Solutions Engineer with strong enterprise contact center and customer experience expertise, combined with a startup and builder mindset, to lead the design, prototyping, and hardening of AI-driven solutions for large enterprise prospects. This is not a traditional demo-focused Sales Engineer role. This role operates as an applied AI systems architect and builder in a pre-sales environment. You will translate enterprise workflows into structured, demo-ready AI architectures and personally build working prototypes that validate feasibility under real-world constraints. You must be comfortable owning technical design end-to-end, operating with high autonomy, executing under executive visibility, and driving technical outcomes without relying heavily on downstream teams. What You’ll Do Applied AI Solution Architecture - Design and prototype enterprise-grade, AI-driven customer experience demo solutions, translating business logic into structured reasoning frameworks. - Architect robust retrieval, orchestration, and validation systems, building scalable prototypes that tolerate real-world data variability. - Own the transition from early-stage prototype to hardened proof of concept. Enterprise CX & Contact Center Expertise - Apply deep knowledge of enterprise contact center ecosystems, including CCaaS, CRM, ticketing systems, digital messaging, routing logic, escalation flows, QA models, and reporting structures. - Work directly with CX, Operations, Digital, IT, and Architecture stakeholders to understand real-world workflows and constraints. - Convert operational processes into AI-enabled workflows that align with containment, handle time, SLA, QA, escalation rate, and customer satisfaction metrics. - Identify integration patterns across enterprise systems and design practical implementation approaches. Enterprise Discovery & Technical Navigation - Lead rigorous technical discovery sessions across multi-layered enterprise organizations. - Extract clear architecture and data requirements from ambiguous or politically complex environments. - Identify logic gaps, data fragmentation, compliance constraints, and integration risks early in the engagement. - Document architecture, assumptions, and technical success criteria clearly. Strategic Pre-Sales Partnership - Partner closely with Account Executives to shape technical strategy within enterprise accounts. - Scope engagements realistically, balancing ambition with execution feasibility. - Articulate architectural tradeoffs clearly to both executive and technical audiences. - Influence enterprise stakeholders on integration patterns and AI implementation approaches. - Contribute to scalable solution design that supports long-term account expansion. Execution Expectations - Operate independently in fast-moving, ambiguous environments. - Rapidly build working prototypes under tight timelines. - Take full ownership of technical outcomes rather than relying on downstream teams to validate feasibility. - Design with production realities in mind, not just happy-path demonstrations. - Maintain a consistently high conceptual and technical bar in AI-driven systems. - Deliver artifacts that withstand executive and architectural scrutiny. Required Experience Enterprise CX & Contact Center Background - 5+ years of experience in enterprise customer experience, contact center, or customer support technology environments. - Strong familiarity with CCaaS platforms, CRM systems, routing frameworks, digital messaging channels, escalation models, and reporting metrics. - Experience modeling solutions against operational KPIs including containment, AHT, SLA, escalation rate, QA score, and CSAT. - Demonstrated experience working with enterprise stakeholders across Operations, IT, Digital, and Architecture teams. Enterprise Stakeholder Navigation - Proven ability to lead technical discovery in complex, multi-stakeholder enterprise accounts. - Experience extracting structured requirements from ambiguity. - Track record of influencing architectural decisions and technical direction within enterprise environments. - Comfortable pushing back constructively on scope, feasibility, and risk. Applied AI & Systems Engineering - Hands-on experience building AI-driven applications using large language models or similar technologies. - Experience structuring reasoning flows, orchestration logic, and decision frameworks. - Practical experience designing retrieval strategies across structured and unstructured knowledge sources. - Strong Python proficiency including API client development, data normalization, error handling, and test harness construction. - Experience building lightweight internal tools or utilities to accelerate solution development. - Experience debugging multi-system interactions across AI behavior, logic layers, and integration layers. - Familiarity with version control and structured testing practices. Cloud & Integration Foundations - Working knowledge of cloud architecture patterns, including event-driven systems, middleware, and scalable API design. - Experience integrating enterprise SaaS platforms using REST APIs and webhooks. - Understanding of data modeling, schema design, and system scalability considerations. - Familiarity with at least one major cloud platform. Startup & Builder Mindset - Experience operating in high-growth startups or similarly fast-paced environments. - Demonstrated history of building complex systems independently. - Comfortable operating without rigid structure or fully defined requirements. - High ownership mentality with minimal dependency on external resources. - Bias toward shipping validated, working systems over producing theoretical designs. What Sets You Apart - You move from whiteboard architecture to working prototype in days, not weeks. - You design systems that withstand real-world enterprise constraints. - You think in workflows, integration boundaries, and measurable outcomes. - You are equally comfortable discussing routing logic with contact center leaders and debugging APIs or AI behavior. - You hold a high technical standard and proactively design guardrails and validation into your builds. Success in This Role Looks Like - Independently leading technical discovery that results in clearly documented architecture and defined success criteria. - Delivering production-grade proofs of concept that withstand executive and architectural scrutiny. - Identifying integration, data, and logic risks before late-stage deal pressure. - Shipping working technical artifacts that reduce reliance on downstream teams. - Translating AI system behavior into measurable operational and financial impact. This Role Will Not Be a Fit If - You prefer highly structured requirements before beginning work. - You are uncomfortable being the primary technical owner in high-visibility enterprise deals. - You rely heavily on product or engineering teams to validate feasibility before building. - You view pre-sales primarily as presentation-driven rather than execution-driven. Who This Role Is For - This role is ideal for a technically strong builder with deep enterprise CX experience who wants to operate at the intersection of AI engineering and enterprise solution architecture. - You are comfortable navigating executive conversations, designing scalable integration patterns, and personally building the systems that validate your architectural thinking. - If you are seeking a traditional demo-focused Sales Engineer role or one centered primarily on slideware and handoffs, this role will not be the right fit. Benefits and Perks: - Market-competitive total compensation package - 100% company paid family medical and 100% individual dental and vision insurance coverage - Flexible, unlimited vacation policy - Stock options - Strong company culture Quiq is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure people feel supported and connected at work. Applicants need to have the authority to work in the US. As we are at an early stage, immigration sponsorship is not available.
At Quiq, we facilitate exceptional conversations between businesses and their customers, leveraging both human expertise and AI Assistants. Our Software Engineering teams develop products that enable these interactions. Our clients include world-leading enterprises that demand high-quality, reliable, and user-friendly solutions from Quiq. Your Role as a Software Engineering Intern Interns are integral team members, working alongside junior, senior, and lead engineers to develop and deploy new features and fixes. A mentor is provided for the duration of the internship to ensure that interns are properly supported. We aim for interns to make their first production commit within their first week. You'll apply your Computer Science knowledge to solve real-world problems using our modern technology stack. Our internship program focuses on growth, with a strong track record of transitioning interns to full-time engineers. Interns may specialize in front-end development using React/TypeScript or back-end development with Scala microservices. Interns typically start during the summer full time, and if the internship is going well they will transition to part-time when the school year starts back up. Responsibilities: - Develop and implement code to resolve issues - Deploy code changes across Quiq's various clusters - Monitor system logs to identify and address potential issues proactively - Collaborate with Senior and Lead engineers on new feature development - Embrace learning opportunities and continuously expand your knowledge and skills Requirements: - Current Computer Science major - Anticipated graduation with a Bachelor's degree in May 2026 (other timelines may be considered) - Strong coding proficiency - Demonstrated history of diligence and self-motivation Benefits and Perks: - Competitive compensation package - Flexible work environment - fully supported remote work option and office space in Bozeman, MT - Vibrant company culture promoting growth and innovation Quiq is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure people feel supported and connected at work. Applicants need to have the authority to work in the US. As we are at an early stage, immigration sponsorship is not available.
Implementation Specialist/Technical Consultant
QuiqPowering conversations between consumers and businesses.
The Opportunity: We are seeking a highly motivated and experienced Technical Consultant to join our growing Professional Services team. In this role, you will be a critical partner to our customers and our AI engineers, project and help guide our customers through the successful implementation and adoption of the Quiq platform. You will leverage your technical expertise and consulting skills to transform customer requirements into tangible, working solutions that drive significant business value. You’ll configure the Quiq solution and integrate Quiq with common CRM platforms. What You'll Do: - Requirements Gathering & Documentation: Conduct engaging workshops with customers to thoroughly understand their business processes, technical requirements, and desired outcomes for their AI, chat and messaging initiatives. Translate these into detailed design specifications focused on integration of the workflow with the Quiq solution and other applications in the customer’s environment. - Solution Configuration: Expertly configure the Quiq platform to align with customer requirements, including setting up messaging channels, routing rules, intelligent agent workflows, and integrations. - Consultation & Best Practices: Provide strategic guidance and best practices to customers on optimizing their use of the Quiq platform for maximum impact on customer experience and operational efficiency. - Training & Enablement: Develop and deliver comprehensive training sessions for various customer stakeholders, including administrators, contact center supervisors, and frontline agents, ensuring they are proficient in using and managing the Quiq application. - Troubleshooting & Support: Act as a technical subject matter expert, assisting with troubleshooting and resolving implementation-related issues, escalating to product and engineering teams as needed. - Relationship Building: Cultivate strong, trusted relationships with customer stakeholders, becoming their go-to expert for all things Quiq. - Continuous Improvement: Contribute to the refinement of our professional services methodologies, tools, and best practices. What You'll Bring: - 5+ years of experience in a similar Technical Consultant, Solutions Architect, or Implementation Specialist role within a SaaS environment, specifically with contact center solutions designed for the largest B2C enterprises. - Proven experience implementing and configuring complex customer service platforms. - Direct experience with Salesforce Service Cloud implementations, experience in Omni and experience in enterprise deployments. - Strong understanding of contact center operations and customer service best practices. - Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. - Demonstrated ability to lead customer workshops, gather requirements, and design effective solutions. - A "can-do" attitude with a strong sense of ownership and accountability. - Have a level of curiosity to understand business problems, process and architecture with the ability to architect solutions in the contact center. - Ability to manage multiple projects simultaneously and prioritize effectively in a fast-paced environment. - Technical aptitude and a curiosity for learning new technologies. - Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - Familiarity with AI Agents and how they work in a customer service environment. - Deep understanding of how API’s and system level integration Bonus Points If You Have: - Experience with other CRM platforms (e.g., Zendesk, Microsoft Dynamics, Oracle Service Cloud, ServiceNow). - Knowledge and familiarity with voice and messaging applications Benefits and Perks: - Market-competitive total compensation package - 100% company paid family medical and 100% individual dental and vision insurance coverage - Flexible, unlimited vacation policy - Stock options - Strong company culture Quiq is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure people feel supported and connected at work. Applicants need to have the authority to work in the US. As we are at an early stage, immigration sponsorship is not available.
At Quiq, we aim to provide exceptional conversations, whether through humans or AI Assistants. Our Professional Services team focuses on automating conversations to deliver outstanding customer experiences using advanced language models. Our customers include some of the world's largest enterprises, and we're dedicated to helping them solve their toughest challenges. Your Role as a Program Manager As a Program Manager you will be responsible for managing and delivering complex, high-impact projects for our largest enterprise customers. You will work closely with clients, internal teams, and senior leadership to ensure successful project execution, expectations, resource planning, customer satisfaction, and long-term business value. As a team member in the newly developed Program Management team you will also help define the PMO function as we continue to grow and evolve. Responsibilities: - Program Management: Lead and manage multiple enterprise-level projects from initiation through delivering and into optimization and tuning. Ensuring they are completed on time, within scope, and within budget following our Services Methodology approach. - Customer Engagement: Build and maintain strong relationships with key stakeholders - including senior leaders, project managers, workflow owners, and creators - serving as the primary point of contact for all project-related activities. Assist with education on the nuances of AI and AI Assistants as well as the tuning and ongoing ownership of the Quiq application. - Workshop ownership and execution: Take ownership of developing workshops as a part of the development of user stories and technical requirements to support the development of AI Assistants for our customers. - Provide recommendations and guidance on product capabilities: Utilize deep Quiq product knowledge and knowledge of the customer service market to make strategic recommendations to customers on what product capabilities to support best in class customer service. - Operations: Managing dependencies and resources, instigating change orders, supporting the sales process as needed to instill customer confidence, and documenting all key decisions and meeting outcomes. - Team Leadership: Coordinate the services team members including solution architects, implementation specialists, integration engineers, and other relevant roles, to ensure cohesive project execution. Also collaborate with product, customer success and sales. - Risk Management: Identify potential project risks and develop mitigation strategies to address them proactively. Serve as the first line escalation point for issues that jeopardize customer satisfaction, project completion, or internal standards. - Steering Committee Ownership:: Provide regular project updates to key senior stakeholders within Quiq and the customer - Performance Monitoring: Track real time project performance, analyze key metrics, and prepare detailed status reports and dashboards for clients and internal stakeholders. - Continuous Improvement: Implement best practices and lessons learned to enhance the efficiency and effectiveness of project delivery. Advance operational prowess through collaboration with Services leadership. - Customer Success: Work closely with the Sales and Customer Success team to ensure seamless handover and continued client satisfaction post-implementation and execution of follow on projects to grow value within the customer. Requirements: - Experience: 7+ years of experience in program or project management, with a focus on enterprise clients within the technology or SaaS industry. - AI Knowledge: Understanding of AI technologies, particularly in deploying conversational AI and automation solutions for large enterprises, with the ability to communicate the nuances of AI to both technical and non-technical audiences. - Customer Service Knowledge: Deep understanding of Consumer Customer Service best practices and strategies. - Education: Bachelor’s degree in Business, Information Technology, or a related field; PMP or similar certification is highly desirable. - Travel: Willingness to travel up to 20% of the time Skills: - Strong understanding of project management methodologies and tools. - Excellent leadership and team management skills. - Superior communication and interpersonal abilities. - Proven ability to manage multiple projects simultaneously. - Experience building project delivery methodologies and processes - Strong passion for working with large enterprise companies. Attributes: - Strategic thinker with a client-centric approach. - Highly organized with keen attention to detail. - Adaptive to changing priorities and able to thrive in a fast-paced environment. - Strong problem-solving capabilities and a proactive attitude. - Passion for building and testing new processes. Benefits and Perks Market competitive total compensation package 100% company paid family medical and 100% individual dental and vision insurance coverage Flexible, unlimited vacation policy Stock options Strong company culture Quiq is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure people feel supported and connected at work. Applicants need to have the authority to work in the US. As we are at an early stage, immigration sponsorship is not available.
Senior Solutions Engineer, Enterprise AI – CX
QuiqPowering conversations between consumers and businesses.
• Design and prototype enterprise-grade, AI-driven customer experience demo solutions, translating business logic into structured reasoning frameworks. • Architect robust retrieval, orchestration, and validation systems, building scalable prototypes that tolerate real-world data variability. • Own the transition from early-stage prototype to hardened proof of concept. • Apply deep knowledge of enterprise contact center ecosystems including CCaaS, CRM, ticketing systems, digital messaging, routing logic, escalation flows, QA models, and reporting structures. • Work directly with CX, Operations, Digital, IT, and Architecture stakeholders to understand real-world workflows and constraints. • Convert operational processes into AI-enabled workflows that align with containment, handle time, SLA, QA, escalation rate, and customer satisfaction metrics. • Identify integration patterns across enterprise systems and design practical implementation approaches. • Lead rigorous technical discovery sessions across multi-layered enterprise organizations. • Extract clear architecture and data requirements from ambiguous or politically complex environments. • Identify logic gaps, data fragmentation, compliance constraints, and integration risks early in the engagement. • Document architecture, assumptions, and technical success criteria clearly. • Partner closely with Account Executives to shape technical strategy within enterprise accounts. • Scope engagements realistically, balancing ambition with execution feasibility. • Articulate architectural tradeoffs clearly to both executive and technical audiences. • Influence enterprise stakeholders on integration patterns and AI implementation approaches. • Contribute to scalable solution design that supports long-term account expansion. • Operate independently in fast-moving, ambiguous environments. • Rapidly build working prototypes under tight timelines. • Take full ownership of technical outcomes rather than relying on downstream teams to validate feasibility. • Design with production realities in mind, not just happy-path demonstrations. • Maintain a consistently high conceptual and technical bar in AI-driven systems. • Deliver artifacts that withstand executive and architectural scrutiny.