Technical Program Manager

Roboyo is a category shaper in Agentic Automation. We help leading brands embed autonomous, AI‐powered agents into their workflows, processes, products and services so they can scale faster and operate smarter. Built on a strong automation heritage, we focus on seamless integration of AI into enterprise level organization, not just proving concepts, but owning outcomes and driving value in every industry we are present. At Roboyo, you'll join a global team of builders, consultants and engineers that are top practitioners of taking solutions to the next level for clients in pursuit of excellence.

The PM is the operational backbone of this engagement, responsible for translating strategic AI ambitions into disciplined, measurable delivery. You will orchestrate cross-functional teams spanning AI Engineers, Data Scientists, Architects, and business stakeholders — driving delivery with rigor, managing client relationships with credibility, and navigating the complexity of an enterprise AI program with composure and clarity. The ideal candidate brings both the structured thinking of a seasoned PM and the contextual fluency to hold meaningful conversations with AI Architects and C-suite executives alike.

Responsibilities

Program Governance & Delivery Oversight

Own end-to-end program governance — establishing the PMO structure, governance forums, and reporting cadences. Define and manage the integrated program plan across all AI workstreams (Generative AI, Data Science, GCP infrastructure, integrations), tracking milestones, dependencies, and critical path.

Run project planning, reviews, and RAG with technical leads; maintain velocity metrics and remove blockers.

Ensure all deliverables are tracked against scope, schedule, budget, and quality criteria, with proactive escalation of deviations.

Maintain program documentation — charter, WBS, RACI, status reports, and decision logs — to the highest standards.

Risk, Issue & Change Management

Own the program RAID log.

Proactively identify, assess, and prioritize risks across all workstreams with clear ownership and mitigation plans.

Design and enforce the change control process — evaluating scope changes for impact on timeline, budget, and resources before presenting recommendations to the steering committee. Establish escalation pathways and manage critical issues to resolution.

Conduct regular risk workshops to embed a risk-aware culture within the delivery team.

Client & Stakeholder Management

Serve as the primary point of contact for client program stakeholders — building trusted relationships with business sponsors, technology executives, and operational teams.

Prepare and present executive-level status reports, steering committee packs, and milestone reviews to senior leadership.

Facilitate alignment between client's internal teams and the delivery organization, managing expectations and resolving conflicts. Conduct regular CSAT assessments and act on feedback to continuously improve the engagement model.

Resource & Capacity Management

Own resource planning across the program — forecasting demand, managing onboarding/offboarding, and ensuring the right skills are available across all workstreams.

Track utilization, manage bench transitions, and coordinate with HR and recruitment for timely fulfillment of open roles.

Foster a high-performance, distributed team culture — supporting well-being, recognizing contributions, and maintaining morale.

Budget, Commercials & Financial Governance

Own the program budget — tracking actuals against forecast, managing contingency, and producing monthly financial reports for internal and client governance.

Identify and escalate budget risks early; implement corrective actions to maintain P&L health.

Support commercial activities including SOW management, change order negotiations, invoice tracking, and contract renewals.

Contribute effort estimates, resource plans, and delivery timelines to presales and solutioning for new workstreams or extensions.

AI Program Context & Digital Fluency

This role requires a Technical Program Manager with hands-on fluency across modern AI and automation delivery — capable of holding credible, substantive conversations with AI Engineers, Architects, Data Scientists, and RPA developers on feasibility, timelines, and technical dependencies.

Maintain working knowledge of the GCP and Google AI stack — including Vertex AI, BigQuery, and associated data and ML services — to effectively govern delivery across infrastructure, model development, and integration workstreams.

Understand the unique delivery dynamics of agentic AI programs — including multi-agent orchestration, tool-use design, prompt engineering cycles, and the governance considerations around autonomous decision-making systems.

Oversee delivery of intelligent automat