Dozuki

Account Executive

• Target a focused account list of customers and prospects for growth
• Develop and close new and upsell Dozuki Digital Work Training opportunities
• Develop and execute on account based-selling approach to exceed goals
• Accurately manage territory sales projections and share best practices with the rest of the team
• Effectively align the Dozuki value to prospect needs through capability demonstrations, evaluations and target-specific initiatives
• Coordinate and work with the Dozuki team (Marketing, Product, Customer Success, Legal, key executives) to ensure territory success; customer satisfaction, expansion and retention

Enterprise Account Executive – New Logo

Analytics Engineer

• As a Senior Data Analytics Engineer, you will be responsible for the design and implementation of advanced data models and analytics solutions that drive strategic decision-making across the organization.
• Your role will involve overseeing the development and optimization of scalable data pipelines, ensuring the integration and transformation of data from a variety of sources.
• You will collaborate closely with cross-functional teams and customers to understand their data needs and develop thoughtful reports and dashboards to drive insights.

Senior Data Analytics Engineer

Full-stack Engineer

• Design and implement AI-enabled applications, focusing on robust and scalable solutions.
• Develop and maintain agentic implementations and workflows.
• Work with advanced RAG systems, including hybrid search, graph databases, re-rankers, and recommendation techniques.
• Build conversational AI interfaces with multi-turn context management, prompt chaining, and dynamic system message generation.
• Design APIs and microservices that seamlessly connect web frontends with AI backends, managing context windows and token optimization.
• Lead AI evaluation and optimization efforts, implementing custom benchmarks, A/B testing frameworks, and performance monitoring for model inference.
• Architect and implement responsive, performant web solutions using modern frameworks optimized for AI-powered features.
• Make architectural decisions balancing AI model costs, latency, and accuracy with web performance, scalability, and maintainability.
• Lead full-stack development of complex applications that leverage agentic workflows, tool calling, and structured output generation.
• Mentor and lead development teams, driving technical excellence and best practices across AI integration patterns.
• Lead Agile/Scrum processes and manage project delivery using tools like Jira, breaking down complex AI features into deliverable sprint items.
• Collaborate with Product teams to translate AI product requirements into actionable development work items with clear technical scope and success metrics.

Senior Software Engineer – AI Integration Lead

• Integrate cutting-edge AI systems, including RAG architectures with hybrid search, graph databases, vector stores, and re-ranking algorithms into production web applications
• Design and implement APIs and microservices that seamlessly connect web frontends with AI backends, managing context windows and token optimization
• Develop AI evaluation and optimization solutions, implementing custom benchmarks, A/B testing frameworks, and performance monitoring for model inference
• Build conversational AI interfaces with multi-turn context management, prompt chaining, and dynamic system message generation
• Collaborate with development teams to implement technical excellence and best practices across AI integration patterns
• Work within Agile/Scrum processes and contribute to project delivery, breaking down complex AI features into deliverable work items
• Partner with Product teams to translate AI product requirements into technical implementations with clear scope and success metrics
• Make technical decisions balancing AI model costs, latency, and accuracy with web performance, scalability, and maintainability
• Architect and implement responsive, performant web solutions using modern frameworks optimized for AI-powered features
• Develop full-stack applications that leverage agentic AI workflows, tool calling, and structured output generation

Senior Software Engineer – AI Integration Specialist

• We are seeking an experienced Senior Software Engineer to develop cutting-edge AI-integrated web applications. You'll architect and implement sophisticated AI-powered solutions, working with the latest technologies to create innovative user experiences. This is an individual contributor role focused on deep technical expertise in AI integration and full-stack development. As a Sr. Software Engineer, you will: * Integrate cutting-edge AI systems, including RAG architectures with hybrid search, graph databases, vector stores, and re-ranking algorithms into production web applications * Design and implement APIs and microservices that seamlessly connect web frontends with AI backends, managing context windows and token optimization * Develop AI evaluation and optimization solutions, implementing custom benchmarks, A/B testing frameworks, and performance monitoring for model inference * Build conversational AI interfaces with multi-turn context management, prompt chaining, and dynamic system message generation * Collaborate with development teams to implement technical excellence and best practices across AI integration patterns * Work within Agile/Scrum processes and contribute to project delivery, breaking down complex AI features into deliverable work items * Partner with Product teams to translate AI product requirements into technical implementations with clear scope and success metrics * Make technical decisions balancing AI model costs, latency, and accuracy with web performance, scalability, and maintainability * Architect and implement responsive, performant web solutions using modern frameworks optimized for AI-powered features * Develop full-stack applications that leverage agentic AI workflows, tool calling, and structured output generation And more! All of this will be done under the supervision of our highly tenured and experienced software engineers and team leads. Make no mistake, this is not your typical entry-level role, you will be given responsibility from the jump and rewarded with ample opportunity to grow and learn.

Senior Software Engineer, AI Integration Specialist

• We're seeking an experienced Senior Software Engineer to lead the development of AI-integrated web applications. In this role, you will be responsible for designing, developing, and deploying AI-powered software solutions. You will work with cutting-edge technologies and contribute to innovative projects that push the boundaries of AI-driven user experiences. As a Software Engineer- AI Integration Lead, you will: * Design and implement AI-enabled applications, focusing on robust and scalable solutions. * Develop and maintain agentic implementations and workflows. * Work with advanced RAG systems, including hybrid search, graph databases, re-rankers, and recommendation techniques. * Build conversational AI interfaces with multi-turn context management, prompt chaining, and dynamic system message generation * Design APIs and microservices that seamlessly connect web frontends with AI backends, managing context windows and token optimization * Lead AI evaluation and optimization efforts, implementing custom benchmarks, A/B testing frameworks, and performance monitoring for model inference * Architect and implement responsive, performant web solutions using modern frameworks optimized for AI-powered features * Make architectural decisions balancing AI model costs, latency, and accuracy with web performance, scalability, and maintainability * Lead full-stack development of complex applications that leverage agentic workflows, tool calling, and structured output generation * Mentor and lead development teams, driving technical excellence and best practices across AI integration patterns * Lead Agile/Scrum processes and manage project delivery using tools like Jira, breaking down complex AI features into deliverable sprint items * Collaborate with Product teams to translate AI product requirements into actionable development work items with clear technical scope and success metrics

Customer Success Manager

• Customer Relationship Management: Build and maintain strong, long-lasting relationships with clients. Serve as the primary point of contact for customer inquiries, issues, and escalations. Conduct regular check-ins and quarterly business reviews with clients to ensure they are maximizing the value of our software.
• Customer Success Planning: Develop and execute customer success plans tailored to individual client needs. Monitor customer health and proactively identify opportunities for growth and improvement. Collaborate with internal teams to ensure customer needs are met and expectations are exceeded. Create return on investment (ROI) analysis for customers.
• Customer Retention and Advocacy: Monitor customer satisfaction and work to resolve any issues that may impact retention. Identify and develop customer advocates who can provide testimonials and referrals. Gather customer feedback and relay it to the product development team to drive continuous improvement.
• Metrics and Reporting: Track and report on key customer success metrics, including customer satisfaction, retention, and product usage. Provide regular updates to the leadership team on customer health and success initiatives.
• Continuous Learning & Development: Stay updated on the latest developments in the company’s products, industry trends, and emerging technologies. Participate in ongoing training and professional development to enhance technical skills and product knowledge.

Product Manager

• Develop a clear AI product vision and roadmap aligned with Dozuki’s mission and customer priorities
• Conduct market and customer research to identify opportunities where AI can enhance training, compliance, and operational excellence
• Benchmark competitive AI solutions in manufacturing, quality, and connected worker platforms
• Partner with executives, sales, and customer success to prioritize AI initiatives that deliver the most business value
• Lead discovery sprints to validate AI-driven concepts, including feasibility, usability, and ROI
• Translate complex AI capabilities into practical, user-focused solutions
• Define product requirements, user stories, and specifications for AI features such as conversational intelligence, single and multi turn search, proactive insights and AI-powered content creation
• Collaborate closely with engineering and data teams to balance innovation with scalability, security, and performance
• Establish success metrics to measure adoption, accuracy, and business outcomes of AI features
• Partner with marketing and sales to position AI offerings and drive go-to-market readiness with training, messaging, and sales enablement
• Monitor product performance post-launch, analyze usage patterns, and lead initiatives to increase adoption and customer satisfaction
• Collect structured feedback to guide continuous iteration and improvement
• Build strong relationships with customers to uncover frontline challenges and validate AI-driven solutions
• Communicate complex AI concepts in simple, practical terms to internal and external audiences
• Provide regular updates on AI roadmap progress, risks, and outcomes to leadership and key stakeholders
• Support sales, marketing, and success teams with product demos, documentation, and insights

Enterprise Account Executive – New Logo

Senior Data Analytics Engineer

Senior Software Engineer – AI Integration Lead

Senior Software Engineer – AI Integration Specialist

Senior Software Engineer, AI Integration Specialist

Senior Software Engineer – AI Integration Lead

Customer Success Manager

AI Product Manager II