Implementation Manager

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, AutonomIQ detects changes, enables self-healing for test assets and provides advanced diagnostics. In real world situations, AutonomIQ has been shown to provide over ~50% improvement in speed and quality compared to existing tools and techniques. Originally posted on Himalayas