Senior Engagement Manager

3 months ago

Canada Quantiphi Full time

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 AIFinTech100 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:

  1. Managing customer communication & relationships
  2. Guide the client on technology evaluation, technical thought leadership and direction for Conversational AI projects
  3. Constantly sync with the product & Business team to align on business priorities, and plan for long term and short-term architecture goals
  4. Showcase thought leadership on technology roadmaps, agile development methodologies and best practices
  5. Challenge and inspire customers and peers to solve difficult problems with ambitious and novel solutions

Project Delivery:

  1. Own the complete SDLC of our product(s) by managing the solutioning, engineering, testing, release and maintenance
  2. Lead engagements with multiple work-streams; prepare project plans and manage deliverables
  3. Guide and help team members to debug and solve technical problems
  4. Review and perform code walkthrough and quality reviews

Team management:

  1. Work with the team to identify and qualify business opportunities. Identify key customer technical objections and develop a strategy to resolve technical blockers
  2. Ensure proper skill development of team members
  3. Travel to customer sites, conferences, and other related events as required


Required Skills:

  1. Excellent communication, articulation, abstraction, analytical and presentation skills
  2. Ability to work with minimal supervision in a dynamic and time sensitive work environment
  3. Team management experience is must
  4. Excellent aptitude in business analysis and awareness of quantitative analysis techniques


Nice to have skills:

  1. 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)
  2. 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)
  3. Well versed with voiced based processing (text to speech, speech to text)
  4. Experience and knowledge of critical phases of the sales process which includes requirement gathering, sales planning, solution scoping, proposal writing and presentation
  5. Knowledge and willingness to learn and apply emerging trends in business research, data science, Machine learning Artificial Intelligence, Cloud

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