We are building an enterprise delivery engine that combines product thinking, engineering excellence and scalable execution to turn business priorities into measurable outcomes across data, digital automation and applied AI. Operating as a 200+ engineer delivery factory, we industrialize the journey from idea to production while maintaining internal ownership, enterprise architecture, security and quality standards. We are looking for an Agentic SDLC Project Manager to join us on this journey.
Key responsibilities:
- Own the Agentic SDLC roadmap and delivery lifecycle, from use-case discovery and prioritization through design, build, validation, rollout and scaling.
- Manage the portfolio of AI agents across requirements, development, code review, testing, release, deployment and operations.
- Partner with Product and Engineering leaders to define capabilities, user journeys, acceptance criteria, backlog priorities and target outcomes.
- Coordinate cross-functional teams across AI, application development, data, architecture, QA, DevOps, security, privacy and platform engineering.
- Manage plans, resources, vendors, environments, integrations, risks and dependencies across parallel workstreams.
- Establish governance and quality gates covering human oversight, security, responsible AI, traceability and production readiness.
- Drive pilots, adoption and stakeholder communication, using feedback and delivery insights to improve the roadmap and reusable patterns.
Must-have skills & experience:
- 5+ years managing complex technology projects or programs involving software development, AI, data, automation or digital products.
- Working knowledge of generative AI, AI agents and agentic workflows, including orchestration, tool integration, evaluation and human oversight.
- Product management or product delivery experience, including discovery, roadmap definition, backlog prioritization and outcome measurement.
- Expert-level Jira proficiency, including workflow and board configuration, backlog and release management, dashboards, automation and delivery metrics.
- Deep understanding of end-to-end SDLC processes, roles, controls and engineering practices.
- Proven ability to lead global, cross-functional teams and manage scope, resources, risks, dependencies, vendors and senior stakeholder expectations.
- Strong command of Agile and hybrid delivery methods, with excellent analytical, facilitation, negotiation and problem-solving skills.
Nice to have:
- Hands-on experience delivering AI agents, copilots, developer productivity solutions or intelligent automation.
- Experience with Microsoft Copilot Studio, Azure AI Foundry, GitHub Copilot or Microsoft Power Platform.
- Proficiency with Azure DevOps, Confluence, GitHub or comparable product and engineering delivery tools.
- Experience with AI evaluation, data and AI governance, responsible AI, security, privacy, validation or regulated environments.
- Project management, product management or Agile certification, such as PMP, PRINCE2, CSPO, CSM, PSM or SAFe.
- Bachelor's degree in Information Systems, Computer Science, Engineering or a related field.
Skills Required
- 5+ years managing complex technology projects or programs involving software development, AI, data, automation, or digital products
- Working knowledge of generative AI, AI agents, and agentic workflows, including orchestration, tool integration, evaluation, and human oversight
- Product management or product delivery experience, including discovery, roadmap definition, backlog prioritization, and outcome measurement
- Expert-level Jira proficiency, including workflow and board configuration, backlog and release management, dashboards, automation, and delivery metrics
- Deep understanding of end-to-end SDLC processes, roles, controls, and engineering practices
- Experience leading global, cross-functional teams and managing scope, resources, risks, dependencies, vendors, and senior stakeholder expectations
- Strong command of Agile and hybrid delivery methods, with analytical, facilitation, negotiation, and problem-solving skills
- Hands-on experience delivering AI agents, copilots, developer productivity solutions, or intelligent automation
- Experience with Microsoft Copilot Studio, Azure AI Foundry, GitHub Copilot, or Microsoft Power Platform
- Proficiency with Azure DevOps, Confluence, GitHub, or comparable product and engineering delivery tools
- Experience with AI evaluation, data and AI governance, responsible AI, security, privacy, validation, or regulated environments
- Project management, product management, or Agile certification such as PMP, PRINCE2, CSPO, CSM, PSM, or SAFe
- Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field
What We Do
Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.
