Gugu Robotics

• We’re looking for a Staff Data Engineer to join a multi-disciplinary engineering team building modern, enterprise-grade data platforms. • In this role, you will design scalable data lakes, warehouses, and pipelines, define governance and quality standards, and drive data platform modernization across real, in-flight work where performance, reliability, and security are critical. • You’ll mentor more junior engineers, partner with leadership on data strategy, and bring an AI-forward mindset. • Define data architecture and platform strategy, leading design across pipelines, warehouses, and data lakes. • Build and optimize scalable data pipelines supporting batch and real-time processing. • Define and enforce data governance, quality standards, and compliance frameworks across the platform. • Build monitoring, logging, and alerting for data pipelines and services, and contribute to CI/CD workflows for data deployment and automation. • Drive data platform modernization, optimizing for performance, cost, and scalability. • Design and implement data contracts and event flows in collaboration with backend, platform, and engineering teams. • Lead the design and implementation of data pipelines for production AI/ML systems, including embeddings, vector stores, RAG data preparation, feature stores, and training/inference data flows. • Integrate data services with APIs, middleware, and third-party systems to support end-to-end data consumption.

• As a Senior Delivery Manager, you are the senior delivery authority on a cross-functional engagement: owning execution from kickoff through release, leading distributed onshore-and-offshore teams, and serving as the primary delivery partner to the client. • Lead end-to-end delivery of complex, multi-phase engagements, ensuring alignment across scope, budget, timeline, and quality to meet delivery commitments and achieve successful outcomes. • Facilitate sprint planning, backlog refinement, and delivery execution across one or more cross-functional teams. • Manage phased releases, production readiness, and transitions into operations and maintenance models. • Identify and proactively manage dependencies, risks, scope changes, and escalations before they become blockers. • Define, track, and report delivery KPIs, using data to guide decisions, manage delivery health, and inform trade-offs across scope, timeline, and budget. • Support QA and UAT efforts, ensuring quality is validated and outcomes meet agreed acceptance criteria. • Bring an AI-forward mindset to your daily work, using tools like Claude to enhance delivery planning, reporting, and stakeholder communications. • Serve as the primary delivery contact for clients, building trusted relationships through transparency, consistency, and clear communication while identifying opportunities to expand value within the engagement. • Lead stakeholder working sessions, roadmap alignment discussions, and delivery forums with confidence. • Communicate progress, risks, and trade-offs clearly to executive and non-technical audiences. • Partner with Client Partners to spot expansion opportunities inside the engagement (scope, follow-on work, new use cases) and help shape the case for what’s next. • Translate delivery progress into business impact for client stakeholders (ROI, milestones, decisions) so executives see ongoing value, not just status. • Lead distributed delivery teams across onshore and offshore locations, fostering accountability, collaboration, and delivery excellence. • Coach junior delivery managers with concrete feedback and stretch opportunities, contributing to their development plans. • Foster a culture of transparency, continuous improvement, and high performance across the engagement. • Contribute to improving delivery practices, tools, and frameworks across engagements. • Assess team strengths and gaps on your engagements, and partner with Client Partners to flag staffing needs and high-potential talent for the firm. • Conduct executive interviews for engineers, designers, and other roles joining your engagements, and serve as an essential voice in go/no-go hiring decisions across the firm.

• Lead and grow a geographically aligned engineering organization at the director level • Own regional P&L • Set the standard for AI-forward engineering • Ensure successful delivery of client and internal initiatives while developing technical talent • Collaborate with other Engineering Directors and Managers to keep standards consistent across regions

• Author and maintain relevant documentation for developers, clients, and users to encourage innovation; Develop and refine prototypes to confirm requirements; • Program according to project plans including versions and sprints; • Test according to predetermined test plans; • Drive release and post-release activities such as support, versioning, and maintenance; • Collaborate with designers to create interfaces that conform to design guidelines; • Build out mobile Application Programming Interface (APIs) and web applications for mobile and browser clients; • Peer review other team members’ code, and learn and adapt code based on peer review; • Support sales and project managers with technical insights, leading to the creation of budgets and schedules for projects; • Seek ways to promote the company and increase market exposure while increasing credibility with team; • Develop high quality deliverables while evaluating innovative approaches to accomplish objectives; • Write and maintain code on internal products and external client projects; • Work in tandem with other developers and the quality assurance team on bug fixes; • Support building reusable code and libraries for future use.

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production. • Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. • Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. • Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. • Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. • Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. • Own architectural integrity from concept through production deployment on AWS. • Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. • Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. • Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities).

• Handle IT support requests submitted via Slack, covering both routine issues and complex problems that require deeper technical investigation or elevated access • Resolve hardware, software, connectivity, and account-related issues for remote employees across macOS and Windows environments • Triage, prioritize, and manage your own ticket queue with minimal supervision, meeting defined SLA targets • Escalate issues to the next support level when they fall outside L2 scope, providing full context and steps already taken • Document resolutions clearly and contribute to the internal IT knowledge base to reduce repeat tickets • Manage user accounts, groups, and licenses in Microsoft Entra ID (Azure AD) and Microsoft 365 admin center • Handle access requests, permission changes, and offboarding tasks across Exchange Online, SharePoint, OneDrive, and Teams • Troubleshoot MFA issues and assist users with account access problems • Assist with SharePoint site administration and OneDrive configuration as needed • Support onboarding and offboarding workflows, including device enrollment, configuration, and deprovisioning via Rippling MDM • Troubleshoot endpoint issues across macOS and Windows, including application installation, OS updates, and performance problems • Assist with Sophos endpoint agent deployment, alert triage, and policy enforcement in coordination with the Senior Systems Administrator • Provide user-level support for core business platforms, including Slack, Zoom, 1Password, Jira, Confluence, Greenhouse, and Harvest • Assist users with SSO login issues, account access problems, and password-related requests • Support onboarding of new hires by provisioning accounts and licenses across the R&P platform stack • Communicate clearly with employees at all levels in written English — in Slack, Zoom, email, and documentation • Escalate complex issues to the Senior Systems Administrator with full context and steps already taken • Participate in async handoffs and status updates in a remote-first work culture.

• Lead the operational setup and go-to-market infrastructure for a managed services offering, partnering with sales, delivery, and finance to design scalable service models, SLAs, and supporting processes • Define and implement KPIs and benchmarking frameworks across delivery, talent, and finance that give leadership clear, consistent visibility into business health and performance trends • Partner with the VP of Operations, COO, and senior leadership to identify strategic opportunities, shape operational initiatives, and translate business priorities into executable plans • Identify and eliminate operational bottlenecks across the firm by redesigning workflows, standardizing processes, and creating playbooks that improve consistency and quality at scale • Implement AI-powered tools and automation into administrative processes, with a focus on talent acquisition (sourcing, screening, scheduling) and talent experience (onboarding, engagement, offboarding) • Champion a culture of continuous improvement across operations, using data and feedback loops to drive iterative enhancements • Own end-to-end implementation and ongoing oversight of the firm’s PSA (Professional Services Automation) platform, ensuring it supports accurate project tracking, resource planning, utilization reporting, and billing workflows • Oversee the HRIS system, partnering with the talent team to ensure data integrity, compliance, and seamless integration across people operations • Lead the design and deployment of Slack automations that streamline internal workflows, reduce administrative overhead, and improve cross-functional coordination • Drive compliance-side readiness for AWS GenAIIC certification, coordinating across teams to document controls, meet requirements, and maintain certification standards • Manage IT cost strategy across applications and AI token consumption, identifying optimization opportunities and establishing governance frameworks that balance capability with spend • Partner with finance and practice leads to review and validate billing rates and delivery costs, ensuring pricing reflects market positioning, margin targets, and competitive realities • Develop and maintain practice- and vertical-level reporting standards that give leadership accurate, actionable financial visibility across the business • Implement and manage Work-in-Progress (WIP) tracking processes that improve revenue recognition accuracy, reduce billing lag, and surface project financial risk early • Design and build a Lifetime Value (LTV) and Customer Acquisition Cost (CAC) model for the sales team, enabling data-driven decisions on client investment, pipeline prioritization, and go-to-market strategy • Partner with internal functional leaders to successfully integrate acquired company’s commercial, operations, technology, finance, and talent systems into Robots and Pencils’ existing systems • Lead full integration planning, including managing and coordinating workstreams, day-to-day tracking, and synergy planning • Usher change management into the new organization.

• Own end-to-end delivery of one or more managed services engagements, ensuring service commitments, SLAs, and quality targets are consistently met • Run the operating cadence—intake, prioritization, backlog refinement, and recurring delivery—across one or more cross-functional service teams • Manage releases, enhancements, and change requests against systems already in production while protecting stability and uptime • Identify and proactively manage dependencies, risks, escalations, and potential SLA breaches before they impact the client • Define, track, and report service KPIs and SLAs, using data to guide decisions, manage service health, and inform tradeoffs across scope, capacity, and budget • Oversee incident, problem, and change management, ensuring issues are resolved within agreed response and resolution targets • Bring an AI-forward mindset to your daily work, using tools like Claude to enhance delivery planning, reporting, and stakeholder communications • Serve as the primary delivery contact for clients, building trusted relationships through transparency, consistency, and clear communication • Lead stakeholder working sessions and delivery forums with confidence • Communicate progress, risks, and tradeoffs clearly to executive and non-technical audiences • Support Senior Delivery Managers and Client Partners in identifying opportunities to expand value within the engagement • Lead delivery teams across onshore and offshore locations, fostering accountability, collaboration, and delivery excellence • Mentor delivery coordinators and team members on your engagement, sharing knowledge and supporting their growth • Foster a culture of transparency, continuous improvement, and high performance across the engagement • Contribute to improving delivery practices, tools, and frameworks across engagements • Participate in interviews for service team members and contribute input to hiring decisions

• Lead the design and delivery of complex, integration-heavy platforms • Define front-end architecture and technical strategy, designing scalable platforms and leading complex UI systems development (e.g., React, Angular, Next.js, TypeScript) • Define front-end standards and best practices, and contribute to shared design systems • Lead back-end development and API architecture, integrating complex systems and third-party platforms (e.g., Node.js, Python) • Design efficient database schemas and optimize performance across relational and NoSQL systems • Drive backend performance, scalability, and reliability, and own implementation of security best practices including authentication and authorization • Lead monitoring, observability, and reliability practices across production systems • Lead the design and integration of AI services into production full-stack systems, including LLM APIs, streaming, tool and function calling, multi-step agent flows, and RAG patterns • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace • Collaborate closely with cross-functional teams to align technical decisions with product and business goals • Communicate complex technical tradeoffs and architectural decisions clearly across engineering and non-engineering stakeholders • Lead code reviews and design discussions, raising the quality bar for the team • Establish front-end and full-stack engineering standards that lift quality and consistency across the team • Mentor junior and mid-level engineers, helping them grow their craft, confidence, and impact • Make architectural decisions with thoughtful consideration of tradeoffs and long-term implications.

• Define AI architecture and technical strategy, and lead implementation across the full lifecycle from design through production • Build scalable ML platforms, pipelines, and workflow orchestration that support model development and event-driven, asynchronous operations at scale • Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses • Design and develop APIs and backend services that integrate AI capabilities with enterprise systems and third-party platforms • Lead model development, optimization, and the path from research to production, ensuring promising approaches translate into reliable, production-ready systems • Ensure AI reliability, security, and scalability across deployed systems, including logging, monitoring, and debugging in production environments • Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace • Co-define the AI roadmap with leadership, operating as a peer in strategic technical conversations • Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike, translating depth into decisions others can act on • Engage with product, engineering, and data teams to align AI work with broader business priorities • Define and champion AI engineering standards that shape how the organization builds and operates AI systems • Mentor across the organization, shaping engineering culture and developing the next generation of technical leaders • Own high-stakes architectural decisions that carry significant organizational and cross-engagement weight • Drive technical vision — defining not just what gets built, but how AI engineering evolves at R&P over time