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Cisco

Engineering Program Manager

Cisco is hiring an Engineering Program Manager. It pays $195k-$286k a year and Level rates it ; you can apply on Cisco.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include RAG and AI agents.
  • Level classifies it as a senior role.
  • Level lists 1,500+ other open roles at Cisco.
  • The role was posted in the last few days.

AI in this role

ragai-agents
The application window is expected to close on: 11/03/2026

 

Meet the Team

Cisco is building a unified, AI-native management platform that brings together Networking, Security, Observability, and Collaboration into a single, coherent platform experience. AI Canvas is Cisco’s generative, collaborative workspace within this platform. It combines AI agents, real-time telemetry, and dynamic interfaces so teams can troubleshoot, decide, and act together.

You’ll join a highly motivated platform team partnering across Cisco to deliver enterprise-grade AI capabilities that are reliable, secure, and built for real-world adoption. We ship iteratively, measure outcomes, and obsess over customer and partner time-to-value, collaborating daily across Engineering, Design, Data/AI, Security, and Go-to-Market teams.

Your Impact

As a Technical Program Manager, you will own end-to-end execution of AI Canvas programs across multiple engineering teams, including platform architecture, agent frameworks, UX, data systems, security, and integrations across Cisco’s wider portfolio. You will work as a peer to senior engineering and product leaders with the autonomy to shape how the program runs:

·       Apply deep technical program management expertise to drive delivery of large, cross-functional AI Canvas releases from roadmap through GA and post-launch stabilization.

·       Translate product and technical strategy into clear execution plans, milestones, interdependency tracking, success metrics, and ownership across teams.

·       Lead agentic AI programs from use-case definition through production and iteration, coordinating agent workflows, model and tool integration, grounding, evaluations, guardrails, and human oversight.

·       Establish evaluation-driven delivery practices so that AI quality, safety, latency, cost, and reliability are measured before launch and monitored in production.

·       Manage large programs with moderate to high risk and multiple interdependencies, bringing structure to ambiguous, fast-moving initiatives to drive timely decisions.

·       Communicate program status, technical trade-offs, architecture dependencies, and critical-path risks to executive leadership with clear recommendations.

·       Partner with engineering, quality, and security teams to define validation, release, observability, and operational-readiness requirements.

Minimum Qualifications

·       Bachelor’s degree with 12+ years of related experience, Master’s degree with 8+ years of related experience, or PhD with 5+ years of related experience, or equivalent related work experience.

·       Experience leading complex technical programs for enterprise SaaS products through production launch and ongoing operation.

·       Experience directly leading at least one generative AI, LLM-based, or agentic capability through development, production launch, and post-launch iteration.

·       Previous experience leading cross-functional technical programs across a highly matrixed engineering organization.

·       Technical fluency in cloud platforms, APIs, distributed systems, data systems, and modern AI development and deployment practices.

Preferred Qualifications

·       Experience leading multi-team SaaS or AI programs involving cloud-native architecture, API integrations, data platforms, AI evaluations, security, reliability, and customer-facing production launches.

·       Experience with generative AI and agentic systems, including agent orchestration, tool use, retrieval-augmented generation (RAG), evaluation frameworks, guardrails, observability, and human-in-the-loop workflows.

·       Ability to understand system architecture, identify cross-platform dependencies, facilitate engineering trade-offs, and translate complex technical risks and decisions for executive audiences.

·       Experience applying fit-for-purpose development and execution practices, including Agile methodologies, to improve planning, decision-making, delivery, and team learning.

·       Strong ability to bring structure to ambiguous initiatives, drive timely decisions, and create accountability across product, engineering, security, compliance, customer experience, and go-to-market stakeholders.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

Message to applicants applying to work in the U.S. and/or Canada:

The starting salary range posted for this position is $194,600.00 to $285,700.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.

Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.  Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.

U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:

  • 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees

  • 1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco

  • Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees

  • Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)

  • 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next

  • Additional paid time away may be requested to deal with critical or emergency issues for family members

  • Optional 10 paid days per full calendar year to volunteer

For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:

  • .75% of incentive target for each 1% of revenue attainment up to 50% of quota;

  • 1.5% of incentive target for each 1% of attainment between 50% and 75%;

  • 1% of incentive target for each 1% of attainment between 75% and 100%; and

  • Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.

For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

The applicable full salary ranges for this position, by specific state, are listed below:

New York City Metro Area:

$194,600.00 - $328,600.00

Non-Metro New York state & Washington state:

$179,000.00 - $294,000.00

* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.

** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

How we rate this

Engineering Program Manager at Cisco rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGAI agents

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?

Adapt your resume

  • List these exact terms on your resume: RAG and AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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