Gugu Robotics

Product Manager

• Lead requirements gathering sessions with client stakeholders to understand business goals, operational workflows, and product needs.
• Facilitate prioritization and tradeoff decisions across usability, feasibility, and business value, helping stakeholders with competing interests reach alignment.
• Translate requirements into product roadmaps, feature documentation, and product requirements documents (PRDs).
• Define functional requirements, acceptance criteria, and success metrics for product features.
• Break down product initiatives into Epics, Features, and User Stories suitable for agile development teams.
• Ensure requirements are clear, actionable, and aligned with the overall product vision and delivery goals.
• Own and manage the product backlog, ensuring work is clearly defined, prioritized, and aligned with business objectives.
• Maintain backlog health through continuous refinement and prioritization.
• Work with engineering and design teams to ensure stories are well-defined, technically feasible, and ready for development.
• Maintain visibility into scope, dependencies, delivery risks, and trade-offs.
• Balance near-term sprint delivery with long-term product scalability and maintainability.
• Facilitate core agile ceremonies, including sprint planning, daily standups, backlog grooming sessions, sprint reviews and demos, and retrospectives.
• Ensure teams maintain clear sprint goals and consistent delivery cadence.
• Monitor delivery progress and adjust priorities as needed to meet business and client objectives.
• Serve as a primary product contact for both client stakeholders and internal teams.
• Proactively manage expectations, surface risks and tradeoff implications early, before they become delivery problems.
• Communicate priorities, delivery progress, and product decisions clearly and proactively.
• Translate technical concepts into business language and business requirements into actionable development work.
• Work closely with engineers, designers, architects, and project managers to align on product priorities and delivery timelines.
• Support roadmap planning, release coordination, and expectation management.
• Validate delivered features against acceptance criteria and intended business outcomes.
• Ensure delivered functionality meets quality, usability, and product expectations.
• Identify risks, dependencies, and ambiguities early, driving timely resolution.
• Continuously improve product documentation, backlog management practices, and team collaboration workflows.

Product Manager – L4

AI Engineer

• Contribute to building and optimizing Retrieval Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, and retrieval workflows
• Develop and refine prompts and guardrails supporting domain-specific LLM applications
• Support implementation of hallucination mitigation and response validation techniques
• Build embeddings-based semantic search and recommendation capabilities.
• Assist in testing AI features with users and iterate based on feedback and performance data
• Support implementation of evaluation frameworks measuring LLM quality and relevance
• Assist with monitoring production AI systems and identifying quality or performance issues
• Analyze evaluation data to improve prompts, retrieval strategies, and outputs
• Participate in debugging and continuous improvement of live AI systems
• Develop backend services in Python supporting AI workflows and application integration
• Work with vector databases to enable semantic search and retrieval
• Integrate AI features into user-facing products alongside product and engineering teams
• Support scalable and secure deployment of AI capabilities aligned with enterprise standards
• Collaborate closely with product managers, designers, and engineers in cross-functional teams
• Participate in agile delivery environments with evolving requirements
• Communicate technical concepts clearly with teammates and stakeholders
• Contribute to delivery outcomes across experimentation, iteration, and production deployment

AI Engineer – L3

Android Engineer

• Own the design and implementation of complex Android features for fleet-managed tablets
• Architect and implement scalable UI and background functionality
• Design and maintain offline-first behaviors for low-connectivity environments
• Integrate Android applications with on-device AI components
• Lead performance optimization and stability improvements
• Establish testing strategies for reliability across diverse field conditions
• Lead integration with agent-based AI systems and architect voice interaction flows
• Design solutions to monitor connectivity state and device health
• Own Android-side integrations with REST APIs and define integration contracts

Android Developer

Solutions Engineer

• Analyze and document 4 domain-specific .NET 8 / ASP.NET Core APIs and supporting SQL Server databases
• Map and rationalize 8+ enterprise integrations and system dependencies
• Produce clear architectural diagrams, integration flow documentation, and system boundary definitions
• Identify technical debt, scalability constraints, and modernization opportunities
• Develop phased architectural roadmaps aligned to business priorities
• Design and implement CI/CD pipelines aligned with Azure-native practices
• Introduce sustainable branching strategies and release management standards
• Improve observability and monitoring using Azure Application Insights and related tooling
• Establish architectural standards for reliability, maintainability, and performance
• Promote automation and infrastructure best practices across environments
• Support architecture and integration of an Azure-hosted LLM / RAG-powered Q&A system
• Define retrieval workflows, integration points, and security boundaries
• Evaluate operational cost, performance, and scalability implications of AI workloads
• Ensure AI components align with enterprise authentication standards (Okta OAuth2 / OIDC)

Solutions Architect – Enterprise Platform Modernization

Art Director

• Define and evolve the Robots & Pencils visual identity system
• Establish and document brand guidelines, standards, and usage rules
• Create scalable design systems and templates for repeatable execution
• Define system boundaries for brand expression across digital, print, presentation, and motion
• Identify inconsistencies, gaps, and risks in current brand execution
• Develop a clear roadmap for brand system evolution aligned to company growth
• Act as final approval authority for all outbound brand materials
• Establish structured intake, prioritization, and review workflows
• Enforce visual consistency across all external-facing assets
• Raise craft standards across the organization through clear expectations and feedback
• Lead high-visibility marketing, growth, and business development assets
• Translate brand strategy into concrete visual outcomes
• Provide creative direction across digital, social, presentation, video, and print formats
• Manage third-party vendors for video, motion, and print production.

Product Manager – L4

AI Engineer – L3

Android Developer

Solutions Architect – Enterprise Platform Modernization

Creative Director – Brand