Gugu Robotics

Product Manager

• Own and manage the product backlog, ensuring work is clearly defined, prioritized, and aligned with business objectives.
• Translate client and stakeholder needs into well-structured user stories, acceptance criteria, and functional documentation.
• Balance near-term delivery priorities with long-term product scalability and maintainability.
• Maintain visibility into scope, dependencies, risks, and trade-offs.
• Work closely with engineers across iOS (Swift), Android (Kotlin), .NET, Node.js, and frontend teams to clarify requirements and support delivery.
• Partner with architects and technical leads to ensure product decisions align with architectural standards and constraints.
• Collaborate with designers using Figma to ensure usability, accessibility, and design intent are upheld.
• Actively participate in agile ceremonies including planning, backlog grooming, reviews, and retrospectives.
• Serve as a key product contact for client stakeholders and internal teams.
• Communicate priorities, progress, and trade-offs clearly and confidently.
• Translate technical concepts into business language and business needs into executable delivery plans.
• Support roadmap planning, release coordination, and expectation management.
• Maintain working knowledge of systems and platforms being delivered, including:
• o Mobile and web applications
• o Backend services and APIs
• o SQL Server and Oracle databases
• o Azure-based infrastructure and CI/CD pipelines.
• Support products integrating with enterprise tools such as Radar/GeoMoby (geofencing), Oracle Recruiting Booster, Dropbox Sign, and AI-enabled services using Python, TypeScript, and Azure OpenAI.
• Ensure delivered features meet functionality, usability, and quality expectations.
• Validate work against acceptance criteria and business intent.
• Proactively identify risks, ambiguities, and dependencies, driving timely resolution.
• Continuously improve product practices, documentation, and collaboration workflows.

Product Owner, L4

Full-stack Engineer

• Define and evolve application architecture across iOS, Android, .NET, and Node.js backend services
• Lead architectural decisions for scalable, secure systems
• Provide technical direction across frontend, backend, mobile, and integration layers
• Partner with Delivery Managers and engineering teams to translate business requirements
• Act as a technical escalation point, resolving complex architectural or integration challenges
• Serve as a senior technical leader in client-facing discussions
• Guide use of Azure DevOps, GitHub, Jira, Confluence, and modern delivery tooling
• Mentor senior and mid-level engineers, fostering strong architectural thinking and craftsmanship

Principal Software Architect

Android Engineer

• Design and build Android applications using modern tools and patterns (Kotlin, Jetpack, MVVM, etc.)
• Translate product requirements and UX designs into functional, testable, and performant app features
• Architect clean, scalable, and modular Android codebases that support long-term growth and reuse
• Continuously optimize app performance, offline support, responsiveness, and accessibility
• Lead Android-focused engineering streams across active projects, from discovery to delivery
• Collaborate with designers, backend developers, and product managers to align on implementation plans
• Review pull requests and mentor team members on Android development best practices
• Ensure Android code is testable, maintainable, and aligned with CI/CD release pipelines
• Contribute to API design and backend integration strategy
• Help define and maintain coding standards, tools, and documentation for mobile engineering
• Participate in release planning, quality reviews, and issue resolution with project stakeholders
• Work within agile processes to meet delivery timelines while maintaining quality and stability
• Coordinate with team members across different time zones to ensure consistent delivery and high code quality
• Share architecture guidance and technical artifacts across distributed teams
• Evaluate and integrate emerging Android libraries, UI frameworks, and automation tools
• Ensure apps meet Google Play submission standards and accessibility compliance
• Support crash analytics, user feedback loops, and observability in production releases
• Drive continuous improvement in mobile development practices and team performance

Senior Android App Developer

Software Engineer

• Design and build native iOS applications using modern tools and patterns: Swift, SwiftUI (and/or UIKit), MVVM, async/await (and/or Combine).
• Translate product requirements and UX designs into functional, testable, and performant app features.
• Architect clean, scalable, modular codebases that support long-term growth, reuse, and maintainability.
• Continuously optimize performance, offline support, responsiveness, accessibility, and startup time using tools like Xcode Instruments and system logs.
• Lead iOS-focused engineering streams across active projects, from discovery to delivery.
• Collaborate with designers, backend developers, and product managers to align implementation plans and integration strategies.
• Review pull requests and mentor team members on iOS best practices, code quality, and platform conventions.
• Ensure code is testable and aligned with CI/CD pipelines (e.g., GitHub Actions, Bitrise, CircleCI, Fastlane).
• Contribute to API design and backend integration strategy, advocating for mobile-friendly contracts.
• Help define and maintain coding standards, tooling, and documentation for mobile engineering.
• Participate in release planning, quality reviews, and issue resolution with project stakeholders.
• Work within agile processes to meet delivery timelines while maintaining quality and stability.
• Coordinate with teammates across time zones to ensure consistent delivery and high code quality.
• Share architecture guidance and technical artifacts across distributed teams and projects.
• Evaluate and integrate emerging iOS libraries, UI frameworks, and automation tools.
• Ensure apps meet Apple App Store submission standards and accessibility compliance (e.g., WCAG, VoiceOver, Dynamic Type).
• Support crash analytics, user feedback loops, and observability in production (e.g., Crashlytics, Sentry, analytics SDKs).
• Drive continuous improvement in mobile development practices and team performance.

Senior iOS App Developer

Director

• Modeling & Advanced Analytics: With the help of your team lead design, developing, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization).
• Data Exploration: Analyze large, complex datasets to extract key insights and translate them into strategic recommendations.
• Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization.
• Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.
• Partnership & Enablement: Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications.
• Mentor junior data engineers, data architects and data scientists, supporting technical development and scientific rigor.
• Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.

Data Practice Lead/Director

Frontend Engineer

• Design, build, and maintain web applications and APIs using Java on the backend and React on the frontend
• Develop clean, well-structured, and testable code aligned with sprint goals and engineering best practices
• Build and refine prototypes to validate requirements and guide technical direction
• Contribute reusable libraries and shared components to support long-term maintainability
• Support release and post-release activities, including deployments, versioning, monitoring, and maintenance
• Collaborate with designers to implement interfaces aligned with design systems and usability standards
• Partner with client stakeholders to translate business needs into effective technical solutions
• Participate in technical design discussions across the full delivery lifecycle
• Support project managers and sales partners with technical insights, estimates, and delivery planning

Full Stack Developer, React

Salesforce Developer

• Design, develop, and enhance Salesforce functionality using Apex, Lightning Web Components (LWC), Triggers, Batch Apex, Flows and platform APIs.
• Build prototypes to validate requirements, support decision-making, and guide architectural direction.
• Deliver clean, well-structured code that aligns with platform best practices and R&P engineering standards.
• Collaborate with business stakeholders to refine requirements and propose effective technical approaches.
• Develop customizations, automation, and integrations tailored to enterprise operational needs.
• Contribute to solution design discussions across the full development lifecycle.
• Support release processes, including documentation, deployment workflows, and post-release stabilization.
• Build integrations between Salesforce and external systems using REST, SOAP, Bulk, and Streaming APIs.
• Participate in architectural planning to ensure solutions are scalable, secure, and aligned with business objectives.
• Write and maintain unit tests to support predictable, stable deployments.

Recruitment

• Build and maintain warm, long-term pipelines of U.S.-based technical talent including software engineers, AI/ML engineers, forward deployed engineers, and delivery professionals.
• Proactively source talent via outbound channels, technical communities, events, referrals, and open-source platforms.
• Screen and vet candidates for technical alignment and potential cultural fit.
• Create and maintain shortlists for recurring and upcoming project needs.
• Nurture ongoing relationships with passive candidates and maintain consistent touchpoints.
• Develop personalized engagement strategies tailored to candidate interests and career paths.
• Maintain warm talent communities that can be activated quickly for new roles.
• Track availability, interest, and career movements to stay ahead of hiring needs.
• Partner with Sales to support early-stage proposals by providing vetted talent options for upcoming work.
• Work with Marketing to support employer branding, talent newsletters, sourcing campaigns, and events.
• Collaborate with Recruiters and Talent Partners to align sourcing efforts with priority roles and business goals.
• Conduct research on U.S. tech talent markets, emerging skills, compensation benchmarks, and competitive landscapes.
• Identify niche talent pools and areas of opportunity for strategic sourcing.
• Share insights with Talent and Sales teams to guide sourcing plans and project scoping.
• Maintain accurate records, candidate notes, and pipeline segmentation in ATS and sourcing tools.
• Track sourcing performance metrics and recommend improvements to outreach strategies.
• Ensure all pipelines remain organized, compliant, and actionable.

Relationship Sourcer, Talent Attraction

Data Engineer

• Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization).
• Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges.
• Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.
• Analyze large, complex datasets to extract key insights and translate them into strategic recommendations.
• Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization.
• Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.
• Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications.
• Mentor junior data scientists, supporting technical development and scientific rigor.
• Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.

Senior Data Architect, Strategist

AI Engineer

• Embed with strategic client as their technical partner for AI system calibration and prompt optimization.
• Build production-grade calibration systems using Python within the client's Azure environment.
• Implement DSPy framework and GEPA optimizer to systematically improve prompt quality and retrieval performance.
• Design and develop Golden Dataset curation workflows using Azure Data Labeling, establishing gold/silver data tier schemas.
• Create evaluation frameworks to measure model accuracy, precision/recall, latency, and hallucination rates.
• Architect prompt optimization pipelines for retrieval, context synthesis, and answer generation tailored to client needs.
• Own the path to production - evaluation pipelines, Azure ML workflows, KPI dashboards, and optimization automation.
• Iterate rapidly based on client feedback and KPI results, translate business goals into technical calibration improvements.
• Establish measurable KPIs and demonstrate accuracy improvements, latency reduction, and hallucination mitigation.

AI Engineer, System Calibration & Optimization

• Design and implement robust MuleSoft APIs, integrations, and flows using API-led architecture
• Integrate legacy systems, SaaS platforms, hospitality solutions, and third-party services into a unified middleware layer
• Develop reusable connectors, DataWeave transformations, and scalable integration components
• Support implementation of a headless CMS (Contentful) and CDP by exposing, orchestrating, and transforming data
• Diagnose, troubleshoot, and recommend solutions for complex integration challenges across distributed environments
• Apply performance, reliability, observability, and security best practices across all MuleSoft services
• Collaborate closely with experience designers, architects, and data engineers to deliver cohesive, production-ready features
• Participate in technical design reviews, architectural discussions, and iterative product planning
• Build cloud-native, scalable services that support real-time, personalized guest experiences
• Implement testing strategies (unit, integration, functional) to maintain high quality and minimize regressions
• Contribute to continuous improvement, operational readiness, and incident resolution