Project Manager, AI Model Enablement – Agentic SDLC

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the comprehensive execution of TechOps AI projects.

• Facilitate the onboarding and activation of AI models, coding assistants, and agent platforms.

• Implement agentic workflows throughout the Software Development Life Cycle (SDLC), encompassing design, coding, code review, testing, release, and operations.

• Recognize, monitor, and escalate critical issues until they are addressed.

• Organize and manage model access, assessment, and approval procedures.

• Supervise vendor and model onboarding, security and privacy evaluations, usage policies, cost and capacity management, and tool integration.

• Monitor adoption and outcome metrics, such as usage, developer productivity, quality, and expenses.

• Coordinate cross-functional teams across Engineering, Security, Data Science, Legal, and IT.

• Convert AI advancements into coherent plans, risks, and decisions.

• Manage status reporting and communication for small to medium-scale projects.

• Promote adoption via champion networks, training sessions, communication strategies, feedback mechanisms, and playbooks.

• Enhance program management processes by integrating AI and agents into planning, reporting, risk tracking, and dependency management.

• Cultivate relationships with internal teams and external partners, including AI model providers and tool vendors.

• Deliver regular updates on progress, risks, and results.

⛳️ Requirements

• Must be a US Citizen or Green Card holder.

• Minimum of 4 years of experience in program or project management, preferably in software engineering, technical operations, developer productivity, or platform organizations.

• Proven experience managing a program or portfolio of products or features: defining requirements, planning milestones, and actively supporting technical teams.

• Familiarity with the modern SDLC, including CI/CD, code review, testing, and release management.

• Understanding of how AI coding assistants, LLMs, and agents are transforming the SDLC.

• Knowledge of model selection and evaluation, prompt and context management, agent frameworks and tool utilization, along with cost, latency, and quality trade-offs.

• Demonstrated experience with organizational change management and adoption.

• Comfort in navigating AI risk and governance issues, covering data management, intellectual property and licensing, model security, and responsible usage.

• Excellent communication and interpersonal skills, with the ability to influence stakeholders from individual engineers to senior leadership.

• Capability to overcome persistent challenges.

• Ability to excel in a dynamic, rapidly evolving environment and make logical, timely decisions with exceptional attention to detail.

• Proficient in collaborating with global, cross-divisional teams.

• Self-motivated learning and initiative as the AI landscape evolves.

• PMI, Agile Alliance, or similar certification is a plus.

• Practical experience with AI coding tools or working with LLMs and agents, or managing AI/ML platforms or developer experience programs is advantageous.

• Experience with mergers & acquisitions and SaaS is a plus.

• Background in a high-tech, start-up, high-growth, or publicly traded company is a plus.

🏝️ Benefits

• Leading market compensation and equity awards.

• Comprehensive wellness programs for physical and mental health.

• Generous vacation and holiday policies for rest and relaxation.

• Paid parental and adoption leave.

• Opportunities for professional development for all employees, regardless of position or level.

• Employee Networks, geographic neighborhood groups, and volunteer opportunities to foster connections.

• Dynamic office culture equipped with top-tier amenities.

• Health insurance coverage.

• 401k retirement plan.

• Paid time off.

• Eligibility for bonuses.

• Equity grants.