Manager, Quality Assurance

Autonomize AI; Bengaluru; Remote; INR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Influence & Impact

Ownership & Autonomy

Learning & Growth

VC-backed startup environment

Job summary

Autonomize AI seeks a seasoned QA Manager to lead quality engineering for enterprise AI products. You will shape the QA strategy, own release governance, and mentor a high-performing team of SDETs and QA engineers.

The role spans end-to-end delivery, from test strategy to post-release analysis, ensuring secure, scalable, and reliable deployments. As part of a global remote team, you will collaborate with engineering, product, and customer success to drive quality metrics, overlap with

Qualifications

• 12+ years in Software Quality Engineering.
• 5+ years in a managerial/leadership role.
• Proven track record in release governance for enterprise SaaS/Cloud.
• Hands-on experience testing data-intensive/ML platforms.
• Excellent stakeholder management and communication.

Responsibilities

• Define and execute the global QA vision, KPIs/OKRs, and testing roadmap.
• Mentor and grow SDETs and QA engineers; establish best practices.
• Oversee test automation across Web UI, API, data pipelines, and ML models.
• Own end-to-end release management for multi-tenant enterprise deployments.
• Manage CI/CD gates, risk assessments, and post-release RCA processes.

Skills

QA Leadership

Release Management

Automation Testing

CI/CD

Data/ML Testing

SDET Mentorship

Communication

Tools

Python

Selenium

PyTest

Cypress

Postman

REST Assured

GitHub Actions

GitLab CI

Jenkins

Docker

Kubernetes

Jira

Xray

Zephyr

Job description

About Autonomize AI

Autonomize AI is on a mission to help organizations make sense of the world's dark data. Unstructured data contains critical insights that, when paired with human context, unlock transformative business outcomes. Our goal is to make that process effortless and accessible.

We are an ambitious, global, remote team committed to human-machine collaboration. Our founders are serial entrepreneurs who have successfully scaled multiple venture-backed companies. We combine expertise in building cutting-edge data products, captivating user experiences, and scaling enterprise AI solutions.

The Opportunity

We are seeking a seasoned, strategic QA Manager with 12+ years of experience to build, scale, and govern our quality engineering and software release ecosystem.

In this dual-impact leadership role, you will define and execute the overall QA strategy while taking end-to-end ownership of delivery schedules, CI/CD release governance, and cross-functional release management. You will manage and mentor a team of high-performing SDETs and QA Engineers, ensuring our enterprise AI products are delivered predictably, securely, and with uncompromised quality.

What You'll Do

Quality Engineering & Leadership

• Strategic QA Leadership: Define, own, and execute the global QA vision, quality metrics (KPIs/OKRs), and long-term testing roadmap aligned with business objectives.
• Team Governance & Mentorship: Lead, mentor, and grow a high-caliber team of SDETs and QA engineers; drive continuous learning and establish engineering best practices.
• Automation & ML Testing: Oversee the architectural strategy for scalable, robust test automation frameworks (Web UI, API, Data Pipelines, and Machine Learning/AI model testing).
• Enterprise Quality Assurance: Drive shift-left testing methodologies, security/compliance validations, performance/load testing, and overall dark-data pipeline reliability.

Delivery & Release Management

• End-to-End Release Management: Own the release lifecycle for multi-tenant and enterprise AI deployments - managing release cadence, risk assessments, scope stability, and go/no-go decisions.
• CI/CD Pipeline Governance: Collaborate closely with DevOps and Engineering to integrate automated quality gates into CI/CD pipelines, enabling smooth, repeatable, zero-downtime deployments.
• Cross-Functional Delivery Alignment: Act as the central liaison between Engineering, Product Management, Customer Success, and Leadership to ensure delivery timelines are met without compromising quality.
• Incident & Risk Management: Establish post-release verification protocols, track production issues, lead root cause analyses (RCA), and implement preventive measures to continuously elevate delivery reliability.

You're a Fit If You Have

• Experience: 12+ years of progressive experience in Software Quality Engineering, with 5+ years in a manager or leadership capacity.
• Release & Delivery Expertise: Proven track record in release management, release governance, and orchestrating complex deployment cycles for enterprise SaaS/Cloud platforms.
• Technical & Automation Mastery: Deep expertise in building/architecting test automation frameworks using Python, Selenium, PyTest, Cypress, or similar tools, along with API testing (Postman, REST Assured).
• AI/ML & Data Platform Exposure: Demonstrated experience testing data-intensive applications, unstructured data processing pipelines, or Machine Learning/AI platforms.
• CI/CD & DevOps Integration: Hands-on familiarity with CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins) and containerized environments (Docker, Kubernetes).
• Process & Agile Leadership: Deep understanding of Agile/Scrum delivery models, test management systems (Jira, Xray/Zephyr), and tracking key quality metrics (Defect Escape Rate, Test Coverage, Release Cycle Time).
• Communication & Executive Presence: Outstanding stakeholder management, problem-solving skills, and the ability to articulate quality/release risks to technical and non-technical leaders alike.

What We Offer

• Influence & Impact: Shape the core quality and delivery strategy for enterprise AI implementations.
• Outsized Opportunity: Join at an influential level in a rapidly scaling, VC-backed startup.
• Ownership & Autonomy: End-to-end ownership of QA and release processes with the freedom to innovate.
• Learning & Growth: Constant exposure to serial founders, cutting-edge AI technologies, and a dedicated professional development budget.

Autonomize AI is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.