Job Responsibilities:

• Own, lead and manage all ongoing implementation(s) and POCs from concept through implementation & release.

• Understand technical aspects of the product and demo to potential customers.

• Partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers.

• Develop Customer Success assets and methods, and work with the Key Account Managers from Sales to create new or refine existing onboarding materials.

• Lead mining and client relationship geographically dispersed to deliver technology projects on time

• Maintain end-to-end accountability for customer satisfaction and overall delivery excellence

Must Have;

• 10+ years of technology project management experience, with preference for candidates that have worked in customer-facing roles (consulting, implementation, account management, etc.).

• Ability to create project plans, communication plans, SOWs, and all standard project documentation.

• Maintain high levels of customer engagement with a focus on customer satisfaction and loyalty.

• Any software development experience would be a plus.

• Programming / Scripting experience in Python or Java, one of the languages is preferable

• Candidates with onsite implementation experience preferred

• Other key competencies will include MS Projects, Project planning, Risk Management, Negotiation & Decision making, Team work, Planning & Conflict Management, Adaptability and Communication skills.

• Extremely strong communication and presentation skills.

• PMP or similar certifications are advantageous.

BE / BTech

Flexible Working Hours

Product Start Up Culture

Remote Work

AutonomIQ (a sauce labs company) is a cloud platform that enables product and IT teams to autonomously test, release and deploy software, thereby increasing velocity of software releases without compromising quality. With pre-built integrations to common web applications and SaaS providers, customers can instantly create test cases, generate test scripts and test data, and execute tests. Using deep-learning and AI algorithms, detects changes, enables self-healing for test assets and provides advanced diagnostics. In real world situations, has been shown to provide over ~50% improvement in speed and quality compared to existing tools and techniques.

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