Engagement Manager Conversational AI (Remote)
About Us :
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses.
Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights :
- Delivered 2.5x growth YoY since its inception in 2013
- Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
- Great Places to Work certified for 2 consecutive years - 2022, 2021
- Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022
- Recognized as an AI FinTech100 Company, 2022 by InsurTech
- Winner of Best in Business Award in Established Business category by INC., 2022
- Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
- Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022
- Winner of 2021 Google Cloud Breakthrough Partner of the Year - North America
- Winner of 2021 AWS Canada Rising Star of the Year
- Recognized as Leader in IDC MarketScape : Worldwide AI IT Services, 2021
- Recognized in the Fast Company 2021 World Changing Ideas - AI and Data category
- Winner of NVIDIA’s Americas Service Delivery Partner of the Year, 2021
Job Description :
As part of the core delivery team of Quantiphi, the Engagement Manager will be responsible for managing the delivery and execution of projects in a B2B environment for Conversational AI solutions to Contact Centers / Customer service teams of different organizations.
Your responsibilities will include :
- Client Management :
- Managing customer communication & relationships
- Guide the client on technology evaluation, technical thought leadership, and direction for Conversational AI projects
- Constantly sync with the product & Business team to align on business priorities and plan for long-term and short-term architecture goals
- Showcase thought leadership on technology roadmaps, agile development methodologies, and best practices
- Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions
- Project Delivery :
- Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release, and maintenance
- Lead engagements with multiple work-streams; prepare project plans and manage deliverables
- Guide and help team members to debug and solve technical problems
- Review and perform code walkthrough and quality reviews
- Team Management :
- Work with the team to identify and qualify business opportunities
- Identify key customer technical objections and develop a strategy to resolve technical blockers
- Ensure proper skill development of team members
- Travel to customer sites, conferences, and other related events as required
Required Skills :
- Excellent communication, articulation, abstraction, analytical and presentation skills
- Ability to work with minimal supervision in a dynamic and time-sensitive work environment
- Team management experience is a must
- Excellent aptitude in business analysis and awareness of quantitative analysis techniques
Nice to have skills :
Experience with AI Bot platforms, such as DialogFlow / API.AI, Cloud ML, Microsoft Bot Framework, Azure Cognitive Services, Amazon Lex, IBM Watson, Wit.
ai, Salesforce Einstein, Rasa, etc. (as a Project Manager / Analyst / Consultant)
- Strong understanding of the NLP space (natural language understanding, sentiment analysis, personality insight, etc.), conversational interfaces, and leveraging existing services and libraries (integration, configuration, training, continuous learning)
- Well versed with voice-based processing (text to speech, speech to text)
- Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing, and presentation
- Knowledge and willingness to learn and apply emerging trends in business research, data science, machine learning, artificial intelligence, cloud
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