Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services. 
 
As an AWS AI Solutions Architect, you will serve as a strategic technical advisor—translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value. 

Key Responsibilities 

Client Engagement & AWS Solutions Architecture 

• 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. 

Outcome Ownership & Business Impact 

• 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. 
  Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. 

• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). 

Engineering Leadership & Delivery Excellence 

• • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. 

• Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. 

• Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. 

• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. 

• Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. 

Cross-Functional Collaboration 

• Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. 

• Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. 

• Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. 

• Collaborate across distributed teams and client stakeholders across North America. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership. 
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services. 
  • Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies. 
  • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services. 
  • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns. 
  • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform). 
  • Hands-on development capability in Python and AWS SDKs. 
  • Experience implementing observability and monitoring strategies in AWS environments. 
  • Proven success leading enterprise-scale AWS transformations. 
  • Exceptional communication skills for both technical and executive audiences. 
  • AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional). 

Nice to Have 

• AWS Specialty certifications (Machine Learning – Specialty, Security – Specialty).
  • Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock. 
  • Experience building secure multi-account AWS organizations using Control Tower. 
  • Exposure to data engineering services such as Glue, Redshift, Lake Formation. 
  • Consulting or professional services background. 

Personal Competencies 

• Accountability – Owns AWS architectural direction and client outcomes with rigor.
  • Adaptability – Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
  • Collaboration – Builds trust across engineering and executive stakeholders. 
  • Execution-Focused – Balances innovation with production-ready AWS delivery. 
  • Innovation-Minded – Experiments responsibly with emerging AWS AI services. 
  • Craftsmanship – Designs secure, scalable, and well-documented AWS systems. 
  • Leadership with Courage – Drives architectural alignment in complex environments. 
  • Comfort in Ambiguity – Translates unclear AI requirements into AWS-native solution architectures. 

Why Join Robots & Pencils? 

We build smart systems for a human world — blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. As an AWS AI Solutions Architect, you will shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services available. You will define architectures that deliver measurable business value, mentor teams, and directly influence the evolution of our AWS AI practice. 

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are seeking an experienced Product Manager to work embedded within cross-functional delivery teams, owning product execution across complex digital platforms

About the role

This Technical Product Manager will lead the development of an Android-based voice-enabled AI application. They will be the owner of the stories in the backlog and ensure the requirements and acceptance criteria narrative are effectively translated into technical specs for the teams (FE, BE, UX)

Product Ownership & Delivery 
• Manage the product backlog, ensuring work is clearly defined, prioritized, and aligned to business outcomes 
• Translate business needs and stakeholder requests into structured requirements, user stories, and acceptance criteria 
• Partner closely with engineering and design to ensure requirements are well understood and delivered with quality 
• Support sprint planning, backlog refinement, and day-to-day execution to keep delivery on track 
• Identify and manage dependencies, risks, and scope changes throughout the delivery lifecycle 
 
Requirements & Analysis 
• Elicit, analyze, and document functional and technical requirements across multiple stakeholders 
• Break down complex business processes into clear, actionable work for delivery teams 
• Ensure traceability between business needs, requirements, and delivered solutions 
• Continuously refine requirements based on feedback, testing, and evolving priorities 
• Support QA and UAT efforts by clarifying expected behavior and validating outcomes 
 
Stakeholder Collaboration 
• Facilitate working sessions, requirement discussions, and decision-making forums 
• Communicate progress, risks, and tradeoffs clearly to both technical and non-technical audiences 
• Build strong relationships with client stakeholders and serve as a trusted partner in delivery 
 
Product Thinking & Continuous Improvement 
• Frame requests in terms of user and business outcomes, not just features  
• Support prioritization decisions by balancing business value, technical constraints, and delivery timelines 
• Contribute to defining scope and iterative delivery plans 
• Identify opportunities to improve processes, workflows, and product experience 
• Leverage data, feedback, and team insights to continuously improve the product 

Required Skills & Experience 

• 6–10 years of experience in a Product Owner, Product Manager, or similar role
• Strong understanding of agile delivery practices and product ownership responsibilities
• Experience with tools such as Jira, Confluence, Figma, Claude AI, GitHub, and Cursor 
• Strong client communication and relationship management skills
• Strategic thinking paired with a pragmatic, delivery-focused mindset
• Consultative problem-solving and the ability to guide conversations beyond immediate deliverables
• Adaptable, calm under pressure, and comfortable navigating ambiguity
• High accountability, ownership, and follow-through
• Collaborative, outcome-driven, and user-centered

 
Why Join Robots & Pencils? 

At Robots & Pencils, Product Owners play a critical role in shaping how ideas become impactful digital products. You’ll work alongside architects, engineers, and designers to deliver modern solutions across mobile, cloud, and AI-enabled platforms, while building trusted client partnerships and driving meaningful outcomes

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. 

We’re looking for a Senior AI Engineer to support the development and delivery of complex, integration-heavy platforms. This role is ideal for an experienced engineer who thrives in hands-on development, can confidently own features and deployments, and contributes to team leadership within a pod. 

In this role, you will work as a key contributor on a cross-functional team, building across the stack while helping guide delivery, improve systems, and solve challenging integration problems, including AI-native platforms such as agentic learning systems designed to enable human-centered learning in the Age of AI. 

This is not a greenfield project. You’ll be joining a mature, production environment with real users, where reliability, performance, and scalability are critical. You’ll collaborate closely with senior engineers to enhance existing systems and deliver high-quality features. 

By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000. 

What You’ll Do 

Development 

• Build and maintain backend services using Python and Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)
• Develop and integrate APIs that support frontend applications and external systems
• Contribute to frontend features and ensure smooth integration across the stack 
• Write clean, maintainable, and well-tested code with strong unit testing practices 

 Workflow & System Orchestration 

• Support the development and maintenance of workflows using orchestration tools (e.g., Sequencer / workflow engines, state machines)
• Contribute to event-driven processes and asynchronous system operations (e.g., SQS, EventBridge)
• Assist in improving reliability through better error handling and retries 

 Backend & API Engineering 

• Develop RESTful APIs and support the BE architecture
• Integrate with third-party services and internal systems, including AI-driven platforms
• Assist in optimizing performance and scalability of services using DynamoDB single-table design patterns (composite keys, transactional writes) 
• Implement secure and reliable data handling practices  

System Reliability & Support 

• Troubleshoot issues in production environments with guidance from senior team members
• Contribute to logging, monitoring, and debugging efforts
• Support deployment and release processes in cloud-native environments (AWS, Docker) 

 Collaboration & Growth 

• Work closely with cross-functional teams across global locations
  • Participate in code reviews and team discussions
  • Take ownership of assigned features and tasks, delivering end-to-end solutions 
  • Continue developing technical skills and leveraging AI-assisted development tools (e.g., Claude Code) 

 Required Skills & Experience 

• 6+ years of professional software engineering
• Strong experience with Python and Node.js
• Experience with LLM function/tool calling, prompt engineering, multi-agent orchestration, vector databases (OpenSearch), embeddings, streaming LLM responses, RAG concepts. 
• Experience working with AWS cloud environments, including Lambda, DynamoDB (and Single-Table design), S3, SQS, EventBridge, Step Functions, etc.
• Experience building and maintaining fullstack applications
• Exposure to workflow orchestration tools (e.g., Sequencer or similar systems) 
• Solid understanding of API design and backend systems 
• Familiarity with databases (SQL and/or NoSQL, including scalable design patterns) 
• Experience working in production environments 
• Strong unit testing practices and maintainable test strategies 
• Experience with containerization (e.g., Docker) 

 Nice to Have 

• Demonstrated ability to reason about system-wide impacts of changes, including downstream effects across services and data layers. 
• Demonstrated ability to identify design gaps in requirements and raise them before they reach development. 
• Experience with Langfuse, synthetic AI testing, token cost optimization, reasoning effort configuration, Step Functions for AI workflows. 

Why Join Robots & Pencils? 

At Robots & Pencils, you’ll join a global team of engineers, designers, and strategists who care deeply about craftsmanship, collaboration, and innovation. You’ll work on meaningful, production-grade systems that impact real users at scale, within a mature and evolving engineering environment. 

You’ll collaborate with experienced teams across backend, frontend, and infrastructure, gaining exposure to advanced AWS practices and modern architecture through our globally recognized partnerships. As part of a leading AI and cloud engineering organization, you’ll have the opportunity to grow your skills while contributing to high-impact digital products. 

If you enjoy building across the stack, solving real integration challenges, and being part of a high-performing, globally distributed team, we’d love to meet you.

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. 

We’re looking for a Fullstack Engineer (Level 3) to support the development and delivery of complex, integration-heavy platforms. This role is ideal for a solid engineer who enjoys hands-on development, can deliver features with some guidance, and is growing into owning larger parts of the system. 

In this role, you will work as part of a cross-functional team, contributing across the stack while helping build reliable systems and solve integration challenges, including AI-native platforms such as agentic learning systems designed to enable human-centered learning in the Age of AI. 

This is not a greenfield project. You’ll be joining a mature, production environment with real users, where reliability, performance, and scalability are critical. You’ll collaborate with senior engineers to enhance existing systems and deliver high-quality features. 

By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000. 

What You’ll Do 

Fullstack Development 

• Build and maintain backend services using Node.js (and some Python), including serverless architectures (e.g., AWS Lambda, API Gateway)  

• Develop and integrate APIs that support frontend applications and external systems  

• Contribute to frontend features and ensure smooth integration across the stack  

• Write clean, maintainable, and well-tested code with solid unit testing practices  

Workflow & System Orchestration 

• Contribute to workflows using orchestration tools (e.g., workflow engines, state machines)  

• Support event-driven processes and asynchronous system operations (e.g., SQS, EventBridge)  

• Help improve system reliability through error handling and retries  

Backend & API Engineering 

• Develop RESTful APIs and contribute to backend architecture  

• Integrate with third-party services and internal systems, including AI-driven platforms  

• Assist in optimizing performance and scalability of services (e.g., DynamoDB patterns)  

• Follow secure and reliable data handling practices  

System Reliability & Support 

• Troubleshoot issues in production environments with support from senior team members  

• Contribute to logging, monitoring, and debugging efforts  

• Assist with deployment and release processes in cloud-native environments (AWS, Docker)  

Collaboration & Growth 

• Work closely with cross-functional teams across global locations  

• Participate in code reviews and team discussions  

• Deliver assigned features end-to-end with guidance  

• Continue developing technical skills, including AI-assisted development tools  

Required Skills & Experience 

• 3–5 years of professional software engineering experience  

• Strong experience with Node.js  

• Experience building and maintaining fullstack applications  

• Basic to intermediate experience with cloud environments (AWS preferred)  

• Familiarity with API design and backend systems  

• Familiarity with databases (SQL and/or NoSQL)  

• Experience working in production environments  

• Solid unit testing practices  

• Experience with containerization (e.g., Docker)  

Nice to Have 

• Experience with Python  

• Exposure to event-driven architectures  

• Familiarity with AWS services (Lambda, DynamoDB, S3, SQS, etc.)  

• Exposure to workflow orchestration tools  

• Exposure to AI/LLM-based systems (e.g., LangChain, LangGraph)  

• Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., CDK)  

• Experience working in collaborative, distributed teams  

Why Join Robots & Pencils? 

At Robots & Pencils, you’ll join a global team of engineers, designers, and strategists who care deeply about craftsmanship, collaboration, and innovation. You’ll work on meaningful, production-grade systems that impact real users at scale, within a mature and evolving engineering environment. 

You’ll collaborate with experienced teams across backend, frontend, and infrastructure, gaining exposure to advanced AWS practices and modern architecture through our globally recognized partnerships. As part of a leading AI and cloud engineering organization, you’ll have the opportunity to grow your skills while contributing to high-impact digital products. 

If you enjoy building across the stack, solving real integration challenges, and growing within a high-performing, globally distributed team, we’d love to meet you. 

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. 

We’re looking for a Senior Fullstack Engineer to help build and maintain modern applications that integrate backend services, orchestration systems, and scalable APIs. You will work across the stack using Node.js, contributing to backend services and supporting frontend integrations while working within established architectures.  

This is not a greenfield project. You’ll be joining a mature, production environment with real users, where reliability, performance, and scalability are critical. You’ll collaborate closely with senior engineers to enhance existing systems and deliver high-quality features. 

By joining us, you leverage our Advanced AWS Partnership and the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of 190,000. 

What You’ll Do 

Fullstack Development 

• Build and maintain backend services using Node.js, including serverless architectures (e.g., AWS Lambda, API Gateway)  

• Develop and integrate APIs that support frontend applications and external systems, including institutional platforms and AI-driven services  

• Contribute to frontend features using modern state management (e.g., Redux Toolkit with slices, async thunks, memoized selectors) and accessible, interactive UI patterns such as drag-and-drop with keyboard and screen reader support  

• Write clean, maintainable, and well-tested code, maintaining high test coverage (90%+ across unit and integration tests)  

Workflow & System Orchestration 

• Support the development and maintenance of workflows using orchestration tools (e.g., Sequencer / workflow engines, state machines)  

• Contribute to event-driven processes and asynchronous system operations (e.g., message queues, distributed workflows)  

• Assist in improving reliability through better error handling and retries  

Backend & API Engineering 

• Develop RESTful APIs and support microservices architecture  

• Integrate with third-party services and internal systems, including large-scale institutional data platforms  

• Assist in optimizing performance and scalability of services using patterns such as NoSQL single-table design (composite keys, transactional writes)  

• Implement secure and reliable data handling practices  

System Reliability & Support 

• Troubleshoot issues in production environments with guidance from senior team members  

• Contribute to logging, monitoring, and debugging efforts  

• Support deployment and release processes in cloud-native environments  

Collaboration & Growth 

• Work closely with cross-functional teams across global locations, contributing to large-scale platforms such as next-generation degree planning systems for university partners  

• Participate in code reviews and team discussions  

• Take ownership of assigned features and tasks, delivering end-to-end solutions from UI to API to database  

• Continue developing technical skills and learning new technologies  

Required Skills & Experience 

• 4–6 years of professional software engineering experience  

• Strong experience with Node.js  

• Experience building and maintaining fullstack applications, including delivering features end-to-end across frontend, backend, and data layers  

• Exposure to workflow orchestration tools (e.g., Sequencer or similar systems)  

• Solid understanding of API design and backend systems  

• Experience working with cloud environments (AWS preferred), including serverless architectures  

• Familiarity with databases (SQL and/or NoSQL, including scalable design patterns)  

• Experience working in production environments  

Nice to Have 

• Experience with Python  

• Exposure to event-driven architectures  

• Familiarity with AWS services (Lambda, SQS, Step Functions, etc.)  

• Experience with CI/CD pipelines  

• Exposure to AI/LLM-based systems and data-driven platforms  

• Experience working in collaborative, distributed teams  

• Experience building user-centric platforms with modern, accessible frontend architectures  

Why Join Robots & Pencils? 

At Robots & Pencils, you’ll join a global team of engineers, designers, and strategists who care deeply about craftsmanship, collaboration, and innovation. You’ll work on meaningful, production-grade systems that impact real users at scale, within a mature and evolving engineering environment. 

You’ll collaborate with experienced teams across backend, frontend, and infrastructure, gaining exposure to advanced AWS practices and modern architecture through our globally recognized partnerships. As part of a leading AI and cloud engineering organization, you’ll have the opportunity to grow your skills while contributing to high-impact digital products such as platforms that modernize user experiences through real-time, data-driven guidance. 

If you enjoy building across the stack, solving real integration challenges, and being part of a high-performing, globally distributed team, we’d love to meet you. 

Robots & Pencils is seeking a senior-level Art Director, Brand Experience to own and evolve the company’s visual identity as the organization scales. This is a fully internal role focused exclusively on brands, not client delivery.

This is a hands-on brand leadership position. You will define the visual system, establish governance, and lead execution across all external brand touchpoints. You will introduce structure, workflows, and quality controls that allow the brand to scale without dilution.

You will operate with full accountability for how Robots & Pencils shows up in the market. This is not advisory brand guidance. This is ownership of systems, decisions, and outcomes.

You will partner closely with executive leadership, marketing, and business development to ensure the brand consistently reflects the technical excellence and creative intelligence of our work.

Key Responsibilities

Brand Architecture & Visual Systems

· 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

Brand Governance & Quality Control

· 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

· Reduce ad hoc design work and delivery disruption through better systems

Brand Execution & Creative Direction

· 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

· Ensure every external touchpoint reinforces brand clarity and credibility

Production & Vendor Oversight

· Manage third-party vendors for video, motion, and print production

· Provide clear creative direction, briefs, and quality control

· Evaluate vendor output against brand standards and expectations

· Establish reliable production partnerships that scale with the business

Building for Scale

· Define the operating model for the Brand Experience function

· Identify future hiring needs and role definitions

· Recruit, mentor, and lead future brand contributors

· Establish sustainable processes that allow brand quality to scale with growth

· Hands-on motion or video creation experience is a plus, not a requirement

Required Skills & Qualifications

· Deep expertise in visual identity systems, brand architecture, and governance

· Proven experience leading brand within a consultancy, agency, or scaling organization

· Portfolio demonstrating system-level brand thinking, not just execution

· Experience managing external creative and production vendors

· Confidence working with executive stakeholders and senior leadership

· Strong operational discipline and comfort creating structure from ambiguity

· High ownership mindset with the ability to both lead and execute

Nice to Have

· Motion design or video production experience

· Experience building internal brand teams from the ground up

· Experience supporting marketing and business development initiatives

· Familiarity with brand systems operating across digital and enterprise environments

Personal Competencies

Brand Stewardship Mindset – Treats visual identity as a strategic system, not a collection of assets.

Systems Thinking – Understands how guidelines, templates, workflows, vendors, and people interact to produce brand outcomes.

Executive Communication – Clearly articulates brand decisions and trade-offs to senior stakeholders.

Execution Ownership – Drives initiatives from definition through delivery and adoption.

Craft Leadership – Raises quality through standards, feedback, and example.

Builder Mentality – Enjoys establishing foundations, teams, and operating models where none exist.

Why This Role Matters

At Robots & Pencils, our client work reflects technical excellence and creative intelligence. Our brand must communicate that same standard, clearly, consistently, and at scale.

This role defines how the market experiences Robots & Pencils. By establishing strong visual systems, governance, and execution discipline, you ensure the brand evolves without fragmentation or dilution.

The decisions made in this role will influence how the company presents itself for years to come.

This is brand leadership with a measurable impact.

Why Join Robots & Pencils?

We don’t chase aesthetics. We build systems that work.

You’ll operate with real ownership, executive trust, and long-term accountability. You’ll shape how Robots & Pencils is perceived as it scales and builds the foundation for a world-class Brand Experience function. You’ll grow through responsibility, clarity, and meaningful outcomes.

At Robots & Pencils, we build meaningful, scalable digital products that solve real business problems. We are looking for a Staff Product Manager who combines deep Generative and Agentic AI fluency with hands-on building ability to own AI product outcomes end-to-end. As a Staff PM, you're accountable for initiative-level outcomes, stakeholder satisfaction, and contributing to R&P's AI product practice. You think in systems, work backwards from the customer problem, and stay relentlessly curious about what's next in AI

Enterprise clients want to deploy Agents -  moving from a promising demo to a production system that works at scale, meets security and compliance requirements, and delivers measurable business value is hard. This role owns that problem. You'll be part of a GenAI initiative within the AWS ecosystem, building the evals, tools, patterns, and reference architectures that make AI deployment repeatable.  The mindset: prove it works, test assumptions early, and document while building.

Key Responsibilities

Product Strategy & AI Vision

• Define and drive the product vision, strategy, and roadmap for GenAI solutions - with agentic AI (agent orchestration, tool use, multi-step workflows) as the primary focus - connecting AI capabilities to enterprise business outcomes
• Translate enterprise problems into structured product requirements; reframe feature requests into outcome-driven priorities with explicit tradeoffs on invest in vs. defer
• Balance near-term deployment milestones with long-term platform scalability and sustainability
• Monitor the competitive GenAI landscape and emerging agentic patterns to inform roadmap and technology decisions

Discovery & Validation

• Research how enterprise users interact with AI agents and where they lose trust; frame the riskiest assumptions as testable hypotheses and de-risk them first
• Design and run experiments - POCs, pilot deployments, scenario-based testing of multi-step workflows, edge cases, and failure recovery - to validate agentic solutions where non-deterministic output makes traditional QA insufficient
• Distill research, experiments, and competitive intelligence into clear insights that pave the path for a successful product
• Agent Design, Prototyping & Production
• Define agent behavior and prototype system prompts and tool schemas; partner with engineering on context management - summarization, working memory, and information flow across multi-step tasks
• Drive multi-model architecture tradeoffs with engineering - define the quality, cost, and latency targets that determine which model serves each step in the agent workflow
• Build AI prototypes to validate hypotheses; define human-in-the-loop boundaries and guardrails - when the agent acts autonomously, when it escalates, and how to handle non-deterministic output
• Establish agent evaluation frameworks - task completion, reasoning quality, tool selection, failure recovery, safety - and partner with engineering on production readiness (observability, drift, responsible AI, prompt versioning)
• Define success metrics at the agent level - task completion rate, cost per task (not per inference), escalation rate, time to resolution, and customer trust alongside business KPIs
• Delivery & Execution
• Own the end-to-end product lifecycle from discovery through phased rollouts; establish the metrics framework (north star, input, guardrail metrics) and report product impact to leadership
• Manage the product backlog, scope, dependencies, and risks; drive agile ceremonies and produce high-quality PRDs, product briefs, and decision logs
• Evaluate technology and platform decisions from a product perspective; create deployment playbooks, reference architectures, and knowledge transfer materials so teams sustain solutions independently
• Use AI to accelerate product work - research, analysis, prototyping, documentation - with judgment on when it needs human oversight; onboard rapidly to new domains and support team members across the initiative

Stakeholder Management

• Build trusted relationships with stakeholders and executives; serve as the go-to product advisor and primary contact for AI product direction and deployment strategy
• Partner with AWS Solution Architects and account teams to align on technical approach, service selection, and go-to-market for GenAI solutions
• Manage expectations on scope, timelines, and tradeoffs; facilitate decisions across competing priorities using data, alternatives, and clear rationale
• Frame AI capabilities and limitations for non-technical stakeholders - manage hype cycles, set realistic expectations; surface unmet needs that deepen relationships and grow the account

Required Skills

• 8-12+ years in product management, forward deployment, or solutions engineering; must have shipped AI products from prototype through production at scale
• Strong product sense - ability to identify what matters to users and the business, make prioritization calls with incomplete information, and shape products that deliver real outcomes
• Deep GenAI fluency - LLMs, RAG, fine-tuning, prompt engineering, context engineering, evals - with hands-on experience building or shipping agentic systems (planning, tool use, HITL, guardrails)
• Proven ability to prototype AI solutions using AI tools (Cursor, Claude, Copilot) to validate hypotheses and de-risk product decisions
• Experience deploying AI solutions in enterprise environments with strong technical fluency - can read code, evaluate architectures, make product tradeoffs on technical constraints, and drive scalable deployment patterns
• Exceptional communicator - clear PRDs, technical specs, and decision logs; has led AI products through full lifecycle and driven alignment with Directors, VPs, and C-level
• Comfortable operating in ambiguous, fast-moving environments where the AI landscape evolves weekly
• PM-level fluency across the AWS AI ecosystem - Bedrock, AgentCore, SageMaker, Strands, Kendra, OpenSearch, Lambda, Step Functions - to make informed product and architecture decisions

Preferred Qualifications

• Software engineering or coding background (Python, JavaScript, TypeScript)
• Agency or consulting delivery experience
• Experience in Financial Services, Healthcare, or Life Sciences industries
• Familiarity with open-source LLM ecosystem (Llama, Mistral) for flexibility and cost optimization
• Prior experience leading time-boxed discovery initiatives or technical spikes with rapid validation cycles

Why Join R&P?

You'll work at the intersection of cutting-edge AI and real enterprise impact - helping clients deploy Generative and Agentic AI solutions that change how their businesses operate. R&P gives you the variety of consulting (new problems, new industries, new tech) with the depth of a product role - you'll build, ship, and measure, not just advise. The team is collaborative, technically sharp, and genuinely invested in doing great work for clients.

• Brief Summary of Work:
  • At Robots & Pencils, we harness the power of data to help our clients achieve meaningful digital transformation. We’re seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights. 
    
    This is a high-impact role ideal for a candidate who thrives at the intersection of innovation and execution. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions. 
    
    
    
    
    
    About You 
    
    You’re passionate about discovering what data can reveal. You approach problems with curiosity and scientific rigor, always looking to test, learn, and improve. You have deep experience with statistical modeling, machine learning, and experimentation. You're collaborative, business-savvy, and known for delivering results that move the needle. 
    
    Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers. 
    
    
    
    
    
    
    
    
    
    What You’ll Do 
    
    Modeling & Advanced Analytics 
    
    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. 
    
    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 scientists, supporting technical development and scientific rigor. 
    Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact. 
    
    
    
    
    
    Qualifications & Experience 
    
    7+ years of professional experience in data science, statistics, and applied machine learning. 
    Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies. 
    Building and deploying Data Mesh architectures. 
    Strong experience in AWS tools and infrastructure and cloud AI and data tools essential. Experience in working in other cloud environments (GCP, or Azure) would be an advantage. 
    
    Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks. 
    Proven track record in statistical modeling, time series forecasting, NLP, or optimization. 
    Experience designing and analyzing controlled experiments (A/B testing, uplift modeling). 
    Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering. 
    Experience with tools such as Databricks, SageMaker, and Snowflake is essential. 
    Experience of Palantir would be an advantage. 
    AWS cloud certifications or ML specialization credentials are an advantage. 
    
    Core Competencies 
    
    Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically. 
    Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy. 
    Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy. 
    Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes. 
    Communication – Explains technical results clearly and persuasively to diverse audiences. 
    Team Collaboration – Works effectively across functions and time zones; contributes to a culture of openness and shared learning. 
    
    
    
    
    
    Why Join Robots & Pencils? 
    
    At R&P, we don’t just build software; we help our clients build the future. We are a diverse, globally distributed team that thrives on solving challenging problems and delivering exceptional results. If you're a data scientist who’s excited about building intelligent systems that deliver measurable impact, we’d love to hear from you.
• Tech stack:
  • Python, TensorFow/PyTorch, Data Mesh, AWS, Databricks, SageMaker, Snowflake

Robots & Pencils is seeking an experienced, outcome-oriented IT Manager to lead and evolve our internal technology environment across a distributed, international team. 

You will own the lifecycle, performance, and reliability of internal systems supporting team members across four countries, with offices in Cleveland, Calgary, Lviv (Ukraine), and Bogota 

You will implement scalable systems, standardize core processes, and strengthen internal technology foundations so our teams can move faster, collaborate better, and focus on meaningful client outcomes. 

Key Responsibilities 

Application Lifecycle & Systems Ownership 

• Own application lifecycle management end-to-end, including evaluation, acquisition, rollout, support, maintenance, optimization, and retirement 

• Rationalize underused or redundant tools to reduce platform sprawl 

• Lead critical systems implementations, including HRIS and PSA platforms 

• Build structured implementation plans with clear milestones, adoption targets, and risk mitigation strategies 

• Ensure internal systems scale with company growth across offices and time zones 

Process Standardization & Operational Excellence 

• Standardize onboarding and offboarding processes across countries and offices 

• Improve helpdesk and service workflows for speed, clarity, and accountability 

• Create repeatable, documented processes that balance consistency with flexibility 

• Strengthen internal operational visibility without introducing unnecessary bureaucracy 

• Continuously refine systems based on usage patterns and team feedback 

Vendor, Inventory & Cost Management 

• Own vendor relationships and service-level agreements 

• Manage hardware and software procurement, inventory tracking, and cost allocation 

• Strengthen oversight of SaaS subscriptions and AI-related spend 

• Optimize licensing and subscription usage for efficiency and scalability 

• Ensure vendor performance meets reliability and support expectations 

Security & Compliance 

• Support security awareness training and internal risk assessments 

• Contribute to annual SOC 2 compliance certification efforts 

• Strengthen documentation and audit readiness, including maintaining a structured Vanta repository 

• Ensure internal systems meet security, governance, and compliance standards 

• Proactively identify and mitigate operational and compliance risks 

Team Leadership & Cross-Functional Collaboration 

• Lead the team responsible for helpdesk support and systems maintenance 

• Partner closely with HR, Operations, and Engineering to translate business needs into durable IT solutions 

• Communicate clearly with both technical and non-technical stakeholders 

• Balance competing priorities with sound judgment and a service-oriented mindset 

• Drive accountability and clarity across distributed teams 

Required Skills & Qualifications 

• 8+ years of relevant corporate IT experience 

• Experience analyzing, implementing, and evaluating enterprise IT systems 

• Strong background in SaaS management and cloud infrastructure (AWS) 

• Demonstrated success with security frameworks, audits, and compliance programs, including SOC 2 

• Fluency with Microsoft 365 (certification is a plus) and comfort working with tools such as GitHub and AWS 

• Project management experience with successful rollouts of new systems and documented risk mitigation strategies 

• English fluency (written and spoken) 

Nice to Have 

• PSA or ERP implementation experience 

• Experience operating in distributed, international organizations 

• Exposure to SaaS rationalization and cost optimization initiatives 

Personal Competencies 

• Outcome-Oriented – Focuses on operational impact, reliability, and measurable improvements. 

• Systems Thinker – Standardizes processes without creating unnecessary friction. 

• Service-Minded – Prioritizes user experience for internal teams. 

• Operationally Disciplined – Drives clarity, structure, and accountability. 

• Adaptable – Balances competing priorities calmly and effectively. 

• Ownership-Driven – Follows through and ensures systems perform as intended. 

Why This Role Matters 

At Robots & Pencils, we build smart systems for the human world. When our internal technology is strong, our teams move faster, collaborate better, and spend more time delivering meaningful outcomes for clients. This role turns IT into a true enabler of creativity, security, and scale across borders and time zones. 

You will strengthen the foundation that allows every product team to operate at a higher level. This is operational leadership with measurable organizational impact. 

Why Join Robots & Pencils? 

We don’t just maintain systems; we build environments where teams can do their best work. 

You’ll help modernize internal infrastructure, lead high-impact system implementations, and influence how a distributed digital product company operates at scale. 

You’ll work at the intersection of operations, security, and systems architecture, driving durable improvements that power the entire organization. 

Robots & Pencils is seeking an AI Engineer / AI Architect to design, build, and scale production-grade AI systems that deliver measurable business value. 

This is a hands-on technical leadership role. You will define system architectures, lead implementation of scalable AI platforms, and guide teams through the full lifecycle of AI development, from experimentation and model iteration to secure, observable production deployment. 

As a Level 4 leader, you are expected to own complex AI systems end-to-end, influence technical direction, mentor engineers, and make principled architectural tradeoffs under real-world constraints. 

Key Responsibilities 

AI Architecture & Technical Strategy 

• Define AI system architecture aligned to business objectives and long-term scalability 

• Translate ambiguous AI opportunities into structured technical approaches 

• Design modular, extensible AI platforms supporting experimentation and production workloads 

• Establish architecture decision records (ADRs) and technical documentation standards 

AI System Design & Implementation 

• Lead design and implementation of ML systems, model services, and inference pipelines 

• Build scalable training, evaluation, and deployment workflows 

• Architect data ingestion, feature engineering, and model serving strategies 

• Ensure reliability, observability, and performance optimization of AI systems 

AI Platform & Infrastructure 

• Design and implement end-to-end AI pipelines and agentic orchestration frameworks. 

• Establish LLMOps best practices including CI/CD, prompt versioning, and real-time model observability. 

• Optimize distributed inference systems and retrieval-augmented generation (RAG) performance. 

• Ensure AI infrastructure aligns with security, compliance, and GPU/token cost-efficiency standards. 

Research-to-Production Acceleration 

• Bridge research and engineering by operationalizing prototypes into production-ready systems 

• Define evaluation metrics, validation processes, and rollout strategies 

• Improve iteration velocity through tooling and automation 

Technical Leadership & Mentorship 

• Mentor junior and mid-level AI engineers 

• Lead code reviews and enforce engineering standards 

• Guide teams in making informed tradeoffs across performance, scalability, cost, and complexity 

• Contribute to shared AI best practices and internal accelerators 

Cross-Functional Collaboration 

• Partner with product, engineering, and executive stakeholders to shape AI roadmaps 

• Communicate technical strategy and system tradeoffs clearly to non-technical audiences 

• Align AI initiatives with business value and measurable outcomes 

Required Skills & Qualifications 

• 5+ years of experience in AI/ML engineering or applied machine learning 

• Proven experience designing and deploying production AI systems 

• Strong software engineering background (Python or similar) 

• Experience with distributed systems and scalable data architectures 

• Deep understanding of MLOps, model lifecycle management, and AI infrastructure 

• Experience building and maintaining ML pipelines and automated deployment workflows 

• Strong problem-solving skills and architectural judgment 

• Demonstrated leadership and mentoring experience 

• Excellent communication skills for technical and executive stakeholders 

Nice to Have 

• Experience with generative AI, LLM systems, or retrieval-augmented architectures 

• Exposure to multi-agent or agentic AI systems 

• Experience with cloud-based AI platforms and infrastructure-as-code 

• Background in consulting or professional services environments 

• Experience designing AI systems in regulated or security-sensitive domains 

• Hands-on AWS experience supporting cloud-native or AI/ML production systems. 

• AWS certifications (Associate or Professional level) or equivalent practical AWS expertise. 

Personal Competencies 

• Architectural Thinking – Designs systems that scale and evolve 

• Technical Ownership – Drives AI initiatives from concept to production 

• Engineering Rigor – Prioritizes reliability, observability, and maintainability 

• Mentorship – Elevates team capability through guidance and example 

• Execution Focus – Delivers production-ready systems, not just prototypes 

• Comfort in Ambiguity – Translates unclear AI challenges into structured solutions 

Why Join Robots & Pencils? 

At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact. 

As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to complex problem-solving while contributing to meaningful, real-world outcomes. 

By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth. 

This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem. 

Robots & Pencils is seeking an AI Engineer to design, build, and deploy production-grade AI systems that deliver measurable business value. 

This is a hands-on engineering role focused on implementation and delivery. You will contribute to scalable AI systems and ML pipelines, working within established architectural direction while collaborating closely with senior engineers, product managers, and cross-functional teams. 

You will be expected to deliver independently on well-defined features, contribute to system design discussions, and maintain high standards for reliability, performance, and maintainability. 

Key Responsibilities 

AI System Implementation 

• Implement machine learning models, inference services, and supporting APIs 

• Contribute to the development of training, evaluation, and deployment workflows 

• Build data ingestion and feature engineering components aligned to defined architecture 

• Ensure reliability, performance, and stability of AI services in production environments 

AI Pipelines & Infrastructure 

• Contribute to the development and orchestration of AI pipelines and agentic workflows. 

• Support LLMOps processes for automated model deployment, versioning, and prompt management. 

• Implement monitoring and observability to track token usage, model drift, and hallucinations. 

• Debug and resolve complex issues across LLM layers, data ingestion, and cloud infrastructure. 

Research-to-Production Support 

• Collaborate with senior engineers to operationalize research prototypes 

• Implement evaluation metrics and validation processes 

• Support rollout and iteration of AI features based on performance data 

Collaboration & Delivery 

• Work closely with product and engineering teams to implement AI-driven features 

• Participate in sprint planning, estimation, and technical discussions 

• Contribute to documentation and shared engineering standards 

• Communicate progress, blockers, and risks clearly 

Required Skills & Qualifications 

• 3–5 years of experience in AI/ML engineering or applied machine learning 

• Experience building and deploying ML models in production environments 

• Strong software engineering background (Python or similar) 

• Familiarity with distributed systems and scalable data processing 

• Experience contributing to ML pipelines and automated deployment workflows 

• Working knowledge of MLOps concepts (model versioning, monitoring, CI/CD) 

• Ability to debug issues across model, application, and infrastructure layers 

• Strong problem-solving skills and attention to detail 

• Effective communication skills within technical teams 

Nice to Have 

• Exposure to generative AI or LLM-based systems 

• Familiarity with retrieval-augmented generation (RAG) architectures 

• Experience working with cloud-based AI platforms 

• Exposure to infrastructure-as-code or DevOps practices 

• Experience working in consulting or delivery-focused environments 

• Hands-on AWS experience supporting cloud-native or AI/ML production systems. 

• AWS certifications (Associate or Professional level) or equivalent practical AWS expertise. 

Personal Competencies 

• Execution-Focused – Delivers high-quality implementations within established architecture 

• Engineering Discipline – Writes reliable, maintainable, and well-tested code 

• Collaborative – Works effectively within cross-functional teams 

• Problem-Solving Mindset – Investigates issues methodically across layers 

• Ownership – Takes responsibility for assigned work from implementation through release 

• Growth-Oriented – Seeks feedback and continuously improves technical craft 

Why Join Robots & Pencils? 

At Robots & Pencils, we build intelligent systems for real-world environments, blending creativity, engineering excellence, and applied AI to help organizations work smarter. Our teams partner directly with leading North American organizations to design and deliver production-ready digital and AI solutions that create measurable impact. 

As an AI Engineer, you will build production AI systems alongside experienced architects and senior engineers, strengthening your foundation in machine learning, scalable system design, and modern cloud-native delivery. You’ll collaborate closely with US-based clients, gaining hands-on exposure to complex problem-solving while contributing to meaningful, real-world outcomes. 

By joining Robots & Pencils, you also benefit from our Advanced AWS Partnership and participation in the highly exclusive AWS Patterns Partnership, a distinction held by only 11 companies worldwide out of more than 190,000 AWS partners. This provides access to specialized training, early access to emerging cloud capabilities, and advanced engineering resources that support accelerated professional growth. 

This is a role for builders who want to sharpen their craft, grow quickly, and deliver impactful AI systems within an elite global engineering ecosystem. 

Client Partner 

Location: US based | Travel: Regular 

 
Robots & Pencils is growing, and we’re looking for dynamic client partners. We help clients achieve real outcomes through cloud-native infrastructure, human-centered design, and pragmatic AI, and now we need more leaders to take Robots & Pencils to the next level. 

What you’ll do 

• Own a portfolio of clients with responsibility for client P&Ls, client success, client delivery, and set multi-year client strategy; meet or exceed revenue and margin targets. 

• Build and deepen C-suite relationships, serving as executive sponsor and trusted advisor across accounts. 

• Represent R&P at client and industry forums, elevating market presence and thought leadership. 

• Win complex, high-value deals through strategic negotiation; shape offerings and pricing to unlock growth. 

• Oversee delivery strategy across all accounts in your portfolio; align outcomes to long-term client goals. 

• Resolve critical escalations with minimal disruption; drive portfolio-wide delivery innovation and best practices. 

• Shape go-to-market with Sales & Marketing, including pipeline planning, forecasting, resourcing, and multi-year growth plans. 

• Mentor Associate Partners and Directors, building leadership pipelines and scalable mentorship frameworks. 

• Create cross-vertical offerings and contribute to the firm’s innovation roadmap and delivery standards. 

What we’re looking for 

• 15+ years in consulting/digital/technology services, including senior ownership of enterprise portfolios or verticals with P&L accountability. 

• Proven record of multi-million-dollar growth, complex deal wins, and sustaining executive (VP/C-suite) relationships. 

• Depth in digital product, cloud, data/AI, and experience design, translating technology into measurable business outcomes. 

• Operational mastery across forecasting, pricing, utilization, and margin management. 

• Success leading globally distributed delivery (onshore/offshore) and shaping delivery practices at scale. 

• Demonstrated market presence (speaking, publishing, alliances) that builds external visibility for the firm. 

• Flexibility for regular travel. 

• MBA and/or certifications (PMP, PgMP, SAFe) are a plus—impact and outcomes matter most. 

Personal competencies 

• Results Driven – Delivers transformative client impact and results. 

• Enterprise-minded – Balances portfolio targets with firm strategy. 

• Executive presence – Communicates with clarity; sustains C-suite trust. 

• Strategic & analytical – Turns market signals into actionable plans. 

• Builder – Designs offerings, teams, and mechanisms that scale. 

• Innovator – Advances delivery practices that become benchmarks. 

• People developer – Creates enduring leadership pipelines. 

Why Robots & Pencils? 

We don’t just deliver projects; we build partnerships that transform organizations. Join a global team of strategists, designers, and engineers creating meaningful, scalable, human-centered solutions—while owning a portfolio that shapes how we grow, how we deliver, and how the market experiences Robots & Pencils. 

About the Role 

At Robots & Pencils, we build digital platforms that blend strategy, engineering, and experience design. We are seeking a Fullstack Contentful Content Architect to design and evolve structured content systems supporting a unified digital ecosystem spanning web, mobile, and kiosk experiences. 

In this role, you’ll partner closely with engineering, UX, product, and platform teams to create scalable content models, governance frameworks, workflows, and multi-environment architectural standards. You’ll ensure Contentful becomes a flexible and reliable foundation supporting personalized guest journeys, real-time itinerary logic, and seamless end-to-end experiences. 

This role is ideal for someone who thrives at the intersection of content systems, product architecture, and technical implementation—and who enjoys shaping structured digital ecosystems that evolve and scale over time. 

Key Responsibilities 

Content Modeling & Structured System Architecture 

• Design modular, scalable, future-proof content models aligned to front-end rendering patterns and platform needs. 

• Define localization strategies, taxonomy patterns, approval workflows, governance rules, and editorial roles. 

• Ensure alignment between schema evolution, product roadmap, and platform growth. 

Editorial Workflow Design & Experience Enablement 

• Collaborate with UX and product teams to ensure the authoring environment is intuitive, maintainable, and supports real-time preview needs. 

• Configure validation rules, automation, and extensions to optimize editorial productivity and accuracy. 

• Lead training, workshops, and documentation for content governance and best practices. 

Integration & Platform Collaboration 

• Partner with engineers to align data modeling with API schemas, rendering logic, and deployment workflows. 

• Validate Contentful-based structures in the context of headless front-end development (Next.js/Vercel) and middleware integrations (MuleSoft). 

• Participate in QA and implementation cycles to validate data integrity, content readiness, and rendering fidelity. 

Governance, Documentation & Continuous Refinement 

• Create and maintain documentation for patterns, naming conventions, workflows, and lifecycle rules. 

• Audit content structure health and implement refinement strategies based on usage patterns and platform evolution. 

• Help establish reusable content frameworks, enabling sustainable growth across product surfaces. 

Required Skills & Experience 

• 5+ years of structured content or headless CMS experience (Contentful strongly preferred). 

• Experience designing schemas, workflows, governance frameworks, and multi-environment publishing models. 

• Familiarity with REST/GraphQL APIs, content deployment scripts, and CI/CD integration considerations. 

• Experience collaborating with engineering, UX, and product teams delivering large-scale digital platforms. 

Travel Requirements: Occasional, based on workshops or collaboration needs 

Soft Skills & Behaviors 

• Strong communication and workshop facilitation skills 

• Empathy for both content authors and end users 

• Systems thinking with a product mindset 

• Adaptability and comfort with ambiguity 

• Calm problem-solving and low-ego collaboration 

• Commitment to quality and long-term maintainability 

Why Join Robots & Pencils? 

You’ll contribute to one of the most visible and technically ambitious platform programs in the organization—helping build a scalable, flexible content system powering seamless cross-property digital experiences. If you’re passionate about structured content, orchestration patterns, and designing modern composable ecosystems, we’d love to talk.