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Robots and Pencils

Production-ready AI implementations for enterprises

Technical Program Manager

Program ManagementUpdated on Nov 11
Full-timeRemote in USA$180k - $215k

About the Job

Requirements

  • At least 5 years of experience leading multiple Agile teams concurrently or at scale, including Scrum Masters and Product Owners.
  • At least 5 years of experience leading and delivering enterprise-level IT engagements.
  • A proven track record leading large-scale ($10M+) AI, digital, or cloud transformation programs from strategy through realized business value.
  • Practical application of the Well-Architected Framework and Cloud Adoption Framework to inform program decisions and solution governance.
  • A strong technical foundation that enables credible engagement on architecture, frontend and back-end technologies, and cloud-native design; ability to decompose complex technical problems into deliverable solutions; and ability to translate customer needs into technical requirements and functional specifications mapped to business outcomes.
  • Experience leading programs where AI/ML or agentic capability was core to the solution, including managing model risk, evaluation, and client expectations, and setting program-wide standards for evaluation, human-in-the-loop checkpoints, and monitoring.
  • Demonstrable daily use of AI tools such as Claude to improve planning, specifications, reporting, and documentation.
  • Experience with delivery and engineering tools including Jira, Confluence, GitHub, Azure DevOps, and CI/CD pipelines.
  • Ability to operate in ambiguity and build client credibility to support growth conversations with Client Partners.

Responsibilities

  • Own end-to-end delivery of large-scale AI, digital, and cloud transformation programs, from strategy and roadmap through launch and realized business value.
  • Break complex programs into deliverable workstreams with clear ownership, sequencing, and dependencies.
  • Drive program schedules from design to launch across concurrent Agile teams and align delivery managers and product managers on an integrated plan.
  • Define program-level KPIs and governance, and use data to report program health and guide scope, timeline, budget, and quality decisions.
  • Translate business requirements into technical solutions, clarify technical requirements, and map each requirement to its business outcome.
  • Facilitate engineering and architecture discussions, build sufficient technical understanding across frontend and back-end products, and help drive technical direction.
  • Decompose complex technical problems into actionable solutions for teams to deliver.
  • Contribute to technical documentation and define documentation standards for programs.
  • Own the AI Development Life Cycle at the program level and establish the standard Senior Delivery Managers use across workstreams.
  • Set program-wide definitions of done for probabilistic and AI-driven features, including evaluation thresholds, human-in-the-loop checkpoints, and post-launch monitoring, and ensure workstreams meet them.
  • Partner with AI engineering leads on model risk, data readiness, evaluation strategy, and observability for agentic work; translate technical uncertainty into a client-actionable program plan and risk register.
  • Define success measures for AI-augmented delivery across quality, rework, review overhead, and velocity, and provide status visibility across AI-driven pipelines.
  • Decide when an agentic approach is unsuitable for a client, weighing context management, latency, infrastructure, and cost, and explain the decision to the client.
  • Use AI tools such as Claude to accelerate planning, specifications, reporting, and stakeholder communication, and model this practice for delivery leaders.
  • Serve as senior program partner to client executives and build trust through transparent, consistent communication.
  • Anticipate bottlenecks, manage escalations, and make trade-offs balancing business needs and technical constraints.
  • Facilitate trade-off decisions with customers, stakeholders, and partner teams when priorities conflict; manage escalations or misalignments when outcomes or quality are at risk.
  • Communicate program schedules, progress, and business impact to stakeholders and senior leaders.
  • Partner with Client Partners to shape follow-on work and program expansion opportunities.
  • Lead and mentor Senior Delivery Managers and Delivery Managers on programs, providing concrete feedback and stretch opportunities.
  • Shape the company's delivery practice, tools, and frameworks beyond assigned programs.
  • Assess program staffing and capability gaps, and partner with Client Partners and leadership on staffing needs and high-potential talent.
  • Conduct executive interviews and serve as an essential voice in firmwide go/no-go hiring decisions.

Desired Qualifications

  • Vertical expertise in one or more of Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, or Manufacturing.
  • Experience delivering enterprise agentic, AI co-worker, or applied-AI initiatives.
  • Comprehensive knowledge of AWS services, architectures, and best practices, applied to technical decisions and strategic planning.
  • End-to-end delivery ownership of complex, multi-workstream agentic AI transformation programs.
  • Prior client-facing experience in engagement management, consulting, or account leadership that informs growth conversations.

About the Company

Robots and Pencils

Production-ready AI implementations for enterprises

Robots & Pencils provides enterprise AI engineering services. It builds production-ready AI systems that companies can deploy quickly, delivering measurable business impact in weeks rather than months. The team blends advanced engineering with human-centered design, combining “robots” (AI/engineering) with “pencils” (UX and product design) to create solutions that are both technically solid and easy to use. The company works with large enterprises across sectors including Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing, and operates with small, senior teams instead of large consulting firms. Its delivery centers span Canada, the U.S., Eastern Europe, and Latin America, making it a nimble alternative to traditional global system integrators. The goal is to help enterprises move quickly and confidently with AI initiatives, delivering solutions that are reliable, scalable, and aligned with real business needs.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Calgary, Canada
Founded
2009

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