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