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The Technology Program Manager is responsible for coordinating and aligning initiatives across the QA Center of Excellence (COE), DevOps COE, and Engineer Excellence Team. This role operates as a neutral program-level partner, ensuring dependencies are surfaced, risks are managed, and leadership has an accurate, consolidated view of cross-functional delivery progress. The idóneo candidate brings sufficient technical fluency in software development, DevOps, and QA practices to engage meaningfully with engineering teams and facilitate well-informed, grounded conversations. This role also carries an active orientation toward AI — using AI tools to enhance personal effectiveness and helping the teams they support identify and adopt AI-powered ways of working.

KEY RESPONSIBILITIES

Program Coordination and Alignment

- Maintain a consolidated view of initiatives, priorities, and delivery progress across the QA COE, DevOps COE, and Engineer Excellence Team.
- Coordinate alignment across the three groups for established initiatives, ensuring dependencies are surfaced, managed, and progressing in a consistent direction.
- Identify and track program-level risks and blockers, escalating as needed to the appropriate stakeholders.

Neutrality and Objectivity

- Operate as a neutral, program-level resource that serves the collective goals of all three groups rather than advocating for any single one.
- Support cross-functional decision-making by ensuring all perspectives are represented and outcomes are evaluated against shared organizational priorities.
- Maintain trust across team leads by being a consistent, objective, and reliable partner.

Leadership Reporting and Visibility

- Ensure senior leadership has a consolidated, accurate view of program health across the QA COE, DevOps COE, and Engineer Excellence Team.
- Prepare and maintain program-level status reporting, surfacing key milestones, risks, and delivery trends in a format that supports leadership decision-making.




- Respond to leadership requests with timely, well-framed information that reflects the state of cross-functional work.

Cross-Functional Stakeholder Collaboration

- Work closely with the leads of each group to ensure cross-functional initiatives are well-coordinated and moving forward.
- Partner with the US Agile Tech Lead and GVAT CN to ensure program-level alignment extends across geographies and functions.
- Serve as a connector across teams, reducing friction and ensuring the right people have the right information at the right time.

Program Governance and Process

- Support the governance frameworks established at the COE and Engineer Excellence Team level by ensuring program-level processes are documented, followed, and visible.
- Maintain program infrastructure including planning calendars, milestone tracking, and cross-functional documentation.
- Identify opportunities to improve coordination and communication across the three groups and recommend solutions to leadership.

AI Adoption and Enablement

- Actively use AI tools (including Claude and Claude skills) in day-to-day work to improve reporting, analysis, status communication, and program coordination.
- Identify practical opportunities where AI can reduce manual effort or improve the quality of cross-functional workflows across the QA COE, DevOps COE, and Engineer Excellence Team.
- Partner with team leads to introduce AI-assisted workflows, templates, and automations into program-level processes.
- Share reusable prompts, tools, and AI resources across teams to build collective capability and reduce duplication of effort.




- Stay current on AI tooling available within Sovos and proactively recommend adoption where it aligns with program needs and organizational standards.

QUALIFICATIONS

Required

- 5+ years of experience in program management, project management, or a closely related role within a technology or software organization.
- Exposure to software development practices sufficient to engage in technical conversations — understanding of SDLC, Agile/Scrum methodologies, CI/CD concepts, and QA fundamentals.
- Familiarity with DevOps practices (pipelines, environments, release management) and QA processes (test planning, defect tracking, quality gates) at a conceptual level.
- Practical experience using AI tools (such as Claude, ChatGPT, or equivalent) to enhance personal productivity, reporting, or communication in a professional context.
- Demonstrated curiosity and comfort with emerging AI capabilities, with the ability to evaluate and apply them pragmatically within program workflows.
- Strong organizational and communication skills, with the ability to synthesize complex, cross-functional information into clear status reporting for senior leadership.
- Demonstrated ability to operate with objectivity and neutrality across multiple teams with competing priorities.
- Proven experience managing dependencies, risks, and blockers across concurrent workstreams.

Preferred

- Experience promoting or supporting AI adoption within a technology team or organization.
- Familiarity with AI-powered workflow automation or custom AI tooling (e.g., Claude skills, GPT integrations).
- Experience working alongside or embedded in engineering, QA, or DevOps teams.
- Familiarity with Jira, Confluence, or similar Agile project tracking tools.
- Experience in a multi-geography or distributed team environment.
- PMP, SAFe, or equivalent certification is a plus but not required.

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📌 Senior Program Manager (San Miguel de Tucumán)
🏢 Hirebridge
📍 San Miguel de Tucumán