Senior Engagement Manager - Conversational AI/Contact Center

Quantiphi
Canada
125K $-150K $ / an (estimé)
Temps plein

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 :

  • 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
  • Il y a 2 jours
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