Note: The job is a remote job and is open to candidates in USA. 3Pillar is an AI transformation partner on a mission to help enterprises build AI-native products and intelligent agents. The Technical Program Manager will serve as the operational backbone of client engagements, translating executive-level vision into structured program execution and owning the full delivery lifecycle.
Responsibilities
- Lead engagements where AI agents are embedded across the SDLC — from requirements gathering and code generation to testing, documentation, and release management
- Understand where AI drives genuine efficiency gains and where human-in-the-loop oversight is required to maintain quality, compliance, and client trust
- Contribute to the ongoing evolution of 3Pillar's AI-driven delivery practices, bringing lessons learned from the field back into our operating model
- Partner with the Senior Delivery Executive and Sales to define engagement scope, approach, and solution architecture prior to contract execution
- Contribute to SOW development — translating client requirements into structured delivery commitments with clear assumptions, risks, and effort estimates
- Bring a point of view on how AI-driven delivery can accelerate outcomes and where it introduces risk that must be managed
- Serve as the primary day-to-day delivery lead for technical and mid-management stakeholders, building trust through consistent delivery and clear communication
- Facilitate executive-level program governance in support of the Senior Delivery Executive, ensuring alignment on objectives, risks, and progress
- Proactively surface issues, manage escalations, and maintain client confidence through transparency — especially on fixed-outcome engagements where contractual accountability is high
- Own end-to-end program execution across 2–3 concurrent client accounts with typical annual contract values in the $1–2M range, or a single large strategic engagement, depending on scope
- Anticipate delivery bottlenecks, manage cross-functional dependencies, and drive issue resolution without waiting to be asked
- Build and maintain delivery mechanisms — cadences, dashboards, escalation paths, and reporting structures — that provide clarity to all stakeholders
- Balance contractual commitments with technical realities, making well-reasoned tradeoffs and communicating them clearly
Skills
- Engineering Foundation: Career trajectory: you started in software engineering or a closely related technical discipline and grew into process and program leadership. We are not looking for career PMs who drifted in from the business side
- 10+ Years of Experience: spanning software engineering, technical leadership, and program management — with at least 5 years in a program or delivery leadership role on client-facing or product-facing engagements
- Demonstrated Experience Deploying AI Agents into Delivery Workflows — not just using AI tools, but integrating agents into the SDLC and managing the human oversight model that keeps them productive and accountable
- Clear Understanding of Where AI Drives Efficiency Across the SDLC: and where human judgment, accountability, and oversight are non-negotiable
- Experience on Fixed-Outcome or SOW-Based Engagements: where you owned contractual delivery commitments, not just best-effort project management
- Proven Ability to Manage External Client Relationships: at the technical and mid-management level — building trust through delivery, not just relationship management
- Experience Contributing to Pre-Sales or Pre-SOW Solutioning: scoping engagements, estimating effort, and shaping delivery approaches before contracts are signed
- Cloud Platform Fluency: Working fluency in at least one major cloud platform — AWS, Azure, or GCP — sufficient to engage credibly on architecture decisions, infrastructure tradeoffs, and cloud-native delivery patterns
- Must be based in the US or Canada
- Experience in a professional services or consulting environment where you managed multiple clients simultaneously
- Background leading globally distributed engineering teams
- Familiarity with agentic AI frameworks and the practical tradeoffs of human-in-the-loop design in software delivery contexts
- Track record of growing client engagements through delivery excellence — not just maintaining them
Benefits
- Medical & dental insurance - with employee contributions
- LTD, Life & AD&D insurance - employee paid
- Paid time off
- 10 Paid Holidays
- RRSP with Employer Matching
- Flexible work policy
Company Overview