Senior Staff Technical Program Manager (Video Engineering)
Jiostar Open · verified Sep 22, 2026 At a glance
Senior Video Production role at Jiostar. Bengaluru.
Pay not stated Video Production salary
Growth Roles summary, based on the employer's posting.
What you'll do
- Lead complex technical programs independently from initial planning through delivery
- Shape roadmap priorities by aligning engineering, product, business, and senior stakeholders
- Coordinate cross-pod dependencies, risks, trade-offs, milestones, and leadership updates
- Use Agile practices, sprint reviews, retrospectives, OKRs, and JIRA reporting to maintain execution rigor
- Mentor junior TPMs while improving team processes, accountability, and program management maturity
What you bring
- A bachelor’s or master’s degree plus at least twelve years of professional experience
- Three to four years in program management within the consumer technology sector
- Strong experience delivering cross-functional AI/ML and GenAI programs from strategy into production
- Technical depth across scalable systems, LLMs, AI infrastructure, and model lifecycle management
- Expertise with Agile frameworks such as Scrum or SAFe, along with JIRA and Confluence
Who this fits
You’ll suit a senior technical program leader who can influence without direct authority, challenge architecture decisions, and turn ambiguous goals into executable plans. The work centers on AI and GenAI delivery at scale, stakeholder alignment, risk management, and Agile execution. This is a Bengaluru-based role requiring the stated degree, experience, and consumer technology background.
From the employer
Job Summary:
As a Senior Staff Technical Program Manager, you will lead media programs, influencing the teams' roadmap priorities and technical direction. This role combines strong technical understanding, program leadership, and agile delivery excellence. You will own end-to-end execution of critical programs, influence roadmap direction, manage cross-team dependencies and senior stakeholders, and mentor teams to raise execution maturity across the organization.
Key Responsibilities:
- Foster a culture of accountability, ownership, and collaboration
- Lead large, complex technical programs from planning through delivery independently
- Influence roadmap priorities by aligning stakeholders on objectives and outcomes
- Coordinate across engineering, product, and business teams to manage dependencies and ensure timely execution
- Facilitate cross-pod collaboration and alignment to maintain delivery momentum
- Proactively plan for and mitigate risks, evaluating alternatives, quantifying trade-offs, and structuring communication plans
- Apply Agile methodologies for iterative delivery, adaptive planning, and continuous improvement
- Coach teams on Agile best practices and foster high Scrum maturity
- Maintain sprint cadence and rigor through reviews, retrospectives, and OKR alignment
- Drive pod-level accountability for JIRA hygiene, analytics reporting, and milestone tracking
- Ensure data-driven decision-making using clear metrics, dashboards, and visual progress reporting
- Regularly communicate program updates, decisions, and risks to leadership concisely and visually
- Continuously improve internal processes to enhance team efficiency and delivery velocity
- Act as a mentor for junior TPMs and team members to scale program management maturity
Skills & Attributes for success:
- Deep technical understanding of scalable systems, with the ability to dive into architecture reviews, ask second-order questions, and push for scalable, resilient solutions
- Highly structured thinker with the ability to break down ambiguous goals into executable plans, identify blind spots, and push for clarity in both direction and detail
- Strong grasp of risk/reward tradeoffs, and comfort operating in fast-moving, high-stakes environments with shifting priorities and evolving context
- Exceptional communicator, skilled in managing stakeholder expectations and aligning diverse teams on shared timelines, goals, and impact
- Strong program management experience managing cross functional initiatives end to end and driving influence without authority
- Strong experience leading complex cross-functional programs involving AI/ML and GenAI systems at scale.
- Should have deep technical understanding of AI platforms, execution rigor, stakeholder management, and the ability to drive AI initiatives from strategy to production.
- Experience with LLMs, AI infrastructure, model lifecycle management, and scalable delivery processes is highly preferred.
- Expertise in Agile frameworks (Scrum, SAFe) and tools like JIRA, Confluence
Preferred education & qualification:
- A Bachelor's/Master’s degree with a minimum of 12 years of experience, including 3 to 4 years in a Program Management role within the consumer technology sector
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