Avni Sharma — Product Manager

I started my career writing code, contributing to open source Kubernetes projects, shipping 11 software releases, and optimizing systems at a level most PMs never experience. That engineering foundation is what lets me go deep on technical problems while keeping the product north star in focus. Today, as a Staff PM at Intuit, I build the foundational platforms that power the next generation of AI workloads that 8,000+ developers depend on every day. My work sits at the intersection of AI, developer experience, and cloud-native infrastructure; defining the standards, abstractions, and tools that let engineers focus on shipping products instead of getting stuck in the outer loop and deploy-manage cycle. I am currently contributing on Agentic AI Infrastructure on the Intuit Kubernetes Platform, productizing the Paved Road for agent development and cross-service integration at financial scale, including zero-trust ephemeral sandboxes that enable the secure, autonomous execution of LLM-generated code. Some of what I've shipped: an AI-native developer platform adopted by 80% of all new Intuit services, a multi-workload deployment standard onboarding 200+ assets, AI-powered migration tooling that saved 5,000 developer days, and a single-click rollback experience that replaced a manual, error-prone recovery process across QuickBooks, TurboTax, and Mailchimp. I operate at the intersection of deeply technical problems and organization-scale impact, aligning Directors, Distinguished and Principal Engineers, and VPs across business units to drive standards that stick. Beyond Intuit, I'm a speaker and advocate for women in tech and open source — because the best platforms are built by teams that eflect the diversity of the people using them. Besides being a platform PM junkie, you'd find me unrolling a yoga mat or chasing down a tennis ball. Website - https://avnilearn.wixsite.com/avnisharma

Stackforce AI infers this person is a SaaS Product Manager specializing in AI and cloud-native infrastructure.

Location: San Francisco, California, United States

Experience: 4 yrs 6 mos

Skills

Product Management
Agentic Ai Development
Customer Satisfaction
Auto Scaling

Career Highlights

Shipped an AI-native developer platform adopted by 80% of new services.
Saved 5,000 developer days with AI-powered migration tooling.
Advocate for women in tech and open source.

Work Experience

Intuit

Staff Product Manager (2 mos)

Senior Product Manager- AI Native Platform (1 yr 7 mos)

Product Manager 2 (1 yr 7 mos)

Product Manager (3 mos)

Red Hat

Software Engineer (1 yr 3 mos)

Associate Software Engineer (1 yr)

Software Engineer Intern (4 mos)

Mercedes-Benz Research and Development India

Software Engineer Intern (1 mo)

Deloitte India (Offices of the US)

Social Media Strategist (2 mos)

National Institute of Technology Karnataka

Summer Research Fellow (1 mo)

Education

Product Management at Stanford Continuing Studies

Master of Science - MS at Indiana University - Kelley School of Business

Bachelor of Engineering (B.E.) at The National Institute Of Engineering, Mysore

I.S.C at La Martiniere Girls' College, Lucknow

I.C.S.E at La Martiniere Girls' College, Lucknow

Avni Sharma

Product Manager

San Francisco, California, United States4 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Shipped an AI-native developer platform adopted by 80% of new services.
Saved 5,000 developer days with AI-powered migration tooling.
Advocate for women in tech and open source.

Stackforce AI infers this person is a SaaS Product Manager specializing in AI and cloud-native infrastructure.

Contact

Skills

Core Skills

Product ManagementAgentic Ai DevelopmentCustomer SatisfactionAuto Scaling

Other Skills

KubernetesProduct LaunchProductizationSoftware Product ManagementIT & Business Strategy AlignmentDeveloper AdvocacyQualtricsData AnalysisSoftware ObservabilityCJavaHTMLCascading Style Sheets (CSS)Microsoft WordPython

About

Experience

4 yrs 6 mos

Total Experience

2 yrs 3 mos

Average Tenure

3 yrs 2 mos

Current Experience

Intuit

4 roles

Staff Product Manager

Feb 2026 – Present · 2 mos · Mountain View, CA

Product - Agentic Paved Road on Intuit Kubernetes Platform
AI Agent Paved Road: Created a standardized paved road for AI agent development and deployment, including bootstrapping and out-of-the-box capability integration, enabling faster production rollout of 200+ agents.
Secure Agent Sandboxes: Productizing isolated ephemeral sandboxes for safe LLM-generated code execution, purpose-built for Intuit's financial services zero-trust requirements.

KubernetesProduct LaunchProduct ManagementProductizationSoftware Product ManagementIT & Business Strategy Alignment+1

Senior Product Manager- AI Native Platform

Promoted

Sep 2024 – Present · 1 yr 7 mos · Mountain View, CA

Product - AI native Intuit Kubernetes Platform
Product Strategy: Spearheaded the strategy of Intuit’s AI-powered SaaS platform, which translates app intent to Intuit production-ready services, including compute, traffic, and observability.
Customer Experience: Elevated customer experience and user satisfaction by improving NPS by 26% and sustaining CES > 80% across all critical platform workflows, while launching an agentic AI support bot that delivered 41% support deflection rate and reduced resolution time from 16 hours to 6 hours.
Intuit-wide adoption: Drove Intuit-wide adoption by partnering with leaders across QuickBooks and TurboTax to standardize architecture patterns and deliver “done-for-you” developer experiences; achieving 80% adoption across all new production services, reducing outer-loop development time by 83%, and unlocking 27,196 developer days of annual effort avoidance.
AI-Powered Migration: Defined and launched an AI-driven migration experience using LLM-generated pull requests to eliminate manual onboarding effort, enabling 162 successful migrations and delivering 5K+ developer days in post-migration savings.
Strategic Planning and Executive alignment: Drove cross-functional alignment at the executive level, ensuring cohesive platform direction across multiple business units and enabling faster, unified decision-making on infrastructure standards.

Software Product ManagementDeveloper AdvocacyProductizationProduct ManagementKubernetesCustomer Satisfaction+2

Product Manager 2

Feb 2023 – Sep 2024 · 1 yr 7 mos · Mountain View, CA

Product - AI native Intuit Kubernetes Platform(Autoscaling, Operational Excellence)
Intelligent autoscaling: Led the development and rollout of Intuit’s AI-based autoscaling capability, reducing compute costs by 34% for high-traffic services while eliminating 99%+ of scaling-related incidents, significantly improving system uptime and developer velocity.
Service Reliability: Championed end-to-end debuggability and observability improvements for the AIR platform, enabling Mean Time to Detect (MTTD) < 5 minutes and Mean Time to Recover (MTTR) < 40 minutes, aligning with enterprise SLOs.
Resilient Delivery & Incident Recovery Transformation: Shipped Progressive delivery of services charter for Intuit Kubernetes platform and transformed incident recovery by leading the development of Rollbacks, replacing manual rollback processes with a governed, one-click recovery system, reducing rollback time to <20 minutes and standardizing recovery workflows across major Intuit platforms.
Unified Worklaods and Fleet Obervability: Led the strategy and development of a centralized Fleet Management platform, transforming fragmented, multi-tool observability into a single pane of glass for real-time and historical fleet health, enabling self-service diagnostics and guided triage, reducing incident triage time from 10 minutes to <2 minutes, improving on-call productivity by ~10%, and driving faster, more reliable incident resolution across Intuit’s Kubernetes platform.

KubernetesProductizationProduct ManagementSoftware Product ManagementAuto ScalingSoftware Observability

Product Manager

May 2022 – Aug 2022 · 3 mos · Mountain View, CA

Conducted 10 customer interviews, surveys, and evaluations for ArgoCD UI and usability issues. Practiced customer empathy, owned recommendations, and a roadmap to increase DORA metrics.
Performed Vendor Competitive Analysis to identify feature gaps and proposed recommendations for short-term goals and long-term goals of ArgoCD.

Red hat

3 roles

Software Engineer

Promoted

Mar 2020 – Jun 2021 · 1 yr 3 mos

Aided in the design and implementation of the open source service binding operator (SBO) project that empowers the enterprise developers to automatically connect applications with backed services on Kubernetes
Maintained the SBO project (top 3 contributor) by reviewing pull requests, scoping the next releases for features/enhancements based on customer feedbacks and determining project milestones for sprints
Practiced Bug prioritization of open issues and bugs gathered from users, by segregating them into high, medium, and low priority, needs-feedback, and tech debt labels thereby increasing team efficiency by 10%
Facilitating meetings- internal and community, for gathering feedback from stakeholders, grooming, planning, and writing acceptance criteria for user stories
Spearheaded 11 software releases by collaborating with cross functional teams of 10-20 employees, ensuring shipping of robust code on quarterly basis into the Red Hat Container Registry
Improved memory usage of the project by 140% and optimized CPU performance of the service binding project by 1323%; this helped in exceeding 3000 active users for the week for the first time
Incorporated customer feedback and requirements, improved the QA test suite from 52% to 62% by leveraging Python test framework- Behave, helped the PM with documentation and user guides for SBO, thereby leading the adoption of the project to 13 other teams
Conducted technical interviews for hiring Software Engineer interns and consecutively held intern onboarding sessions for six software engineer interns

Associate Software Engineer

Feb 2019 – Feb 2020 · 1 yr

Established and rolled out the container image scanning and testing processes in the continuous integration pipeline for the dev console operator project, thereby improving efficiency by 40%
Mentored 64 participants around cloud-native technologies at the Bit-by-Bit Hackathon, 2018.
Worked in an agile model and collaborated with various teams across the organization and diverse teams, in various timezones, and demoed milestones in various sprint demos.

Software Engineer Intern

Sep 2018 – Jan 2019 · 4 mos

Analytics team:
Proposed a POC to product leaders for the scanning of container images for application-level dependency common vulnerability and exposures (CVE) for the Open-Source Project Clair.
Designed API for CVE data collection from NVD data store.
Contributed to Integration testing of the APIs.
Documented the API support using Swagger Hub
Used Postman for API Development and testing.
Constructed a flask based app for demonstrating image scanner.

Mercedes-benz research and development india

Software Engineer Intern

Jul 2018 – Aug 2018 · 1 mo

RDI/TBP Trucks and Buses Powertrain Department
Project Topic- Powertrain Diagnostics(EURO)
Contributed to the migration of the Diagnostic tooling software, from C to Java under the Powertrain Diagnostics (EURO) unit.

Deloitte india (offices of the us)

Social Media Strategist

Feb 2018 – Apr 2018 · 2 mos

Demonstrated campaign management, leadership, and analytical skills in organizing and conducting the technical event by Deloitte- Utsav

National institute of technology karnataka

Summer Research Fellow

May 2017 – Jun 2017 · 1 mo · Surathkal

Sentiment Analysis/Opinion mining on micro blogging sites like Twitter using NLTK in Python, for automatic collection of corpus to train classifiers which can then determine the positive and negative sentiments for a given query. Supervised machine learning was used and a live sentiment chart was obtained to graph the sentiments in real time. Tweets were graphed into positive and negative. For this project I chose the topic Demonetization in India.