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Company Profile
Quantiphi is an award winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
We believe in “Solving What Matters”
Company Highlights:
- Quantiphi has seen 2.5x growth YoY since its inception in 2013.
- Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
- Recognized by Everest Group as “Specialist Leader” and “Star Performer” in Analytics and AI Services.
- Winner of “Industry Partner of the Year” and “AI/ML partner of the Year” from AWS regional and global team for 2022.
- Quantiphi is recognized by Gartner as a leading Vendor for US Healthcare Payers 2022 and for Healthcare Data, Analytics and AI 2022, in the AI strategy category.
- Recognized under India's 40 Best Workplaces in Health and Wellness 2022.
- Quantiphi has been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.
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 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 and 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 voiced 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
