Engineering Product Manager

Posted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
179K-329K Annually
Expert/Leader
Cloud • Information Technology • Internet of Things • Professional Services • Software
The Role
Lead strategy, architecture, and adoption of Cisco’s AI evaluation platform. Define benchmarking, automated LLM judging, human review, release gates, quality standards, regression detection, production telemetry, and feedback loops. Partner with research, engineering, and product teams to standardize evaluation frameworks across the organization and improve the reliability, safety, and accuracy of generative AI, RAG, and autonomous agent systems.
Summary Generated by Built In
The application window is expected to close on: 10/12/2026Meet the Team 

The Cisco AI Software & Platform Group incubates and delivers mission-critical Generative AI and platform infrastructure across Cisco's global product portfolio. Our group builds foundational evaluation, benchmarking, and observability platforms that empower engineering teams to deploy autonomous AI agents and LLM-powered systems safely, reliably, and with verified accuracy at enterprise scale. 

Your Impact 

As an Engineering Product Manager you will lead the strategy, architecture, and organizational adoption of Cisco's end-to-end evaluation platform: 

  • Define AI Evaluation Platform Strategy: Architect the product vision, staged roadmap, and platform architecture for Cisco's unified offline benchmarking suites, automated LLM judges, and continuous production evaluation systems. 
  • Operationalize Quality & Safety Standards: Convert ambiguous quality standards (e.g., factual accuracy, hallucination mitigation, safety policies, agentic tool-use fidelity) into objective, repeatable test suites and structured human-in-the-loop review pipelines. 
  • Establish Release Gating & Quality Bars: Establish pre-deployment quality bars, risk-based release criteria, and automated regression-detection loops to govern AI model and application rollouts. 
  • Bridge Offline & Production Telemetry: Connect offline model evaluations directly with live telemetry, product analytics (Amplitude), and real-time user feedback loops to rapidly detect and remediate performance regressions. 
  • Drive Multi-Team Platform Adoption: Partner deeply with research scientists, engineering leaders, and product managers across business units to drive organization-wide adoption of standardized evaluation frameworks. 
Minimum Qualifications 
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field with 12+ years of product management experience, OR Master's degree with 8+ years, OR PhD with 5+ years of experience. 
  • Prior experience leading product management for AI/ML platforms, model evaluation frameworks, Large Language Model (LLM) infrastructure, or data-intensive software products. 
  • Applied background designing and operationalizing offline benchmarking systems, automated evaluation judges, or real-time production quality monitoring pipelines. 
  • Previous experience defining risk-based launch criteria, release-gating frameworks, and regression mitigation workflows for software or AI systems. 
  • Proven experience driving multi-team platform adoption across matrixed engineering and product organizations. 
Preferred Qualifications 
  • Direct experience evaluating Generative AI, Retrieval-Augmented Generation (RAG) pipelines, and autonomous multi-agent systems. 
  • Familiarity with modern AI evaluation toolkits (e.g., DeepEval, Ragas, LangSmith, TruLens) and enterprise telemetry architectures. 
  • Prior experience operating across enterprise SaaS, cloud infrastructure, or hyperscaler environments. 
  • Demonstrated background in statistical evaluation methodologies, automated LLM-as-a-judge calibration, and human-in-the-loop annotation workflows. 
  • Practical experience with online evals for agent systems: observing production traces and trajectories to diagnose failure patterns and decide which techniques to apply to make the agent work better. 
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.

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field with 12+ years of product management experience
  • Master's degree in a related technical field with 8+ years of product management experience
  • PhD in a related technical field with 5+ years of product management experience
  • Experience leading product management for AI/ML platforms, model evaluation frameworks, LLM infrastructure, or data-intensive software products
  • Background designing and operationalizing offline benchmarking systems, automated evaluation judges, or real-time production quality monitoring pipelines
  • Experience defining risk-based launch criteria, release-gating frameworks, and regression mitigation workflows for software or AI systems
  • Experience driving multi-team platform adoption across matrixed engineering and product organizations
  • Experience evaluating Generative AI, RAG pipelines, and autonomous multi-agent systems
  • Familiarity with DeepEval, Ragas, LangSmith, TruLens, and enterprise telemetry architectures
  • Experience in enterprise SaaS, cloud infrastructure, or hyperscaler environments
  • Background in statistical evaluation methodologies, automated LLM-as-a-judge calibration, and human-in-the-loop annotation workflows
  • Experience with online evaluations for agent systems, production traces, trajectory analysis, and agent failure diagnosis

Cisco Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.

  • Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
  • Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
  • Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.

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Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.

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