Description

About Us:

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate—we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:

  • 17x Google Cloud Partner of the Year awards in the last 8 years
  • 3x AWS AI/ML award wins
  • 3x NVIDIA Partner of the Year titles
  • 2x Snowflake Partner of the Year awards
  • We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.
  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!

Experience Level: 3+ years

Location: Montreal

Required Skills:

Apart from being Driven, Energetic and Ambitious, you’ll need the following:

  • Excellent communication (written & verbal), including the ability to clearly articulate complex ideas. (Mandatory)
  • Understanding of sales cycle and sales techniques
  • Experience of B2B sales, customer communication and relationship management is preferable
  • Logical ability to understand client needs and present solutions
  • Data driven mindset. Your plans and actions are backed by not just gut feeling but also customer/industry/market research
  • Attention to detail and sharp acumen to propagate your views in an effective manner
  • Knowledge and willingness to learn and apply emerging trends in business, research, data science,
  • Machine learning, Artificial Intelligence and Cloud Technologies exposure.
  • Excellent aptitude in business analysis and awareness of quantitative analysis techniques.
  • Machine learning, Artificial Intelligence and Cloud Technologies exposure.
  • B2B sales customer communication and relationship management

Responsibilities:

As part of the core sales team of Quantiphi, the Sales Engineer will be responsible for execution of the end-to-end sales process in a B2B environment.

Your responsibilities will include:

  • Take ownership for enhancing the customer experience, assisting customers by utilizing consultative selling practices and guidelines to identify their needs and provide appropriate solutions
  • Manage communication & relationship with customers, prospects and partners and maintain high levels of customer satisfaction.
  • Prepare and explain products, solutions or services to a variety of audiences.
  • Develop sales collaterals (Business and technical presentations, Point of views, solution approaches etc.,)
  • Engage and drive end-to-end pre-sales activities for the company in the Data Science & Applied AI domain.
  • Work closely with cross functional teams (Solution Architects, Engineering team and other sales support teams) towards meeting customer requirements.
  • Apply the right analysis frameworks and effectively collaborate with cross-functional teams to develop creative solutions to complex business problems.
  • Bring thought leadership to conversations with customers, prospects and partners to methodically define business problems, capture requirements, scope the solution and support the closure of the deal.
  • Researching and identifying sales opportunities, generating leads, target identification and classification.
  • Data reporting to management and gathering market intelligence
  • Travel to customer sites, conferences, and other related events as required

What is in it for you:

  • Be part of the fastest-growing AI-first digital transformation and engineering company in the world
  • Be a leader of an energetic team of highly dynamic and talented individuals
  • Exposure to working with Fortune 500 companies and innovative market disruptors
  • Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud.