IT Jobs

Implementation Engineer

In by kyleroots

Website Myticas Consulting

Myticas Consulting hiring an Implementation Engineer oversee and support multiple new customer implementation projects for software as a service and data as a service (SAAS / DAAS).

Responsibilities include:

  • Work with the executive team in guiding strategy and vision for data as a service (DAAS) products
  • Facilitate discussions with clients, partners, and industry experts to gather and promote relevant ideas into product features
  • Guide definition of the “what” with user stories and requirements
  • Plan and prioritize the "what and when" the product teams will deliver
  • Work with cross-functional teams in implementing client product solutions including detailed project plans, and ensuring all key steps, and implementations are completed according to a schedule/budget
  • Perform quality control throughout development to maintain the standards expected by the end client
  • Communicate with executives to ensure project is aligned with company goals and expectations
  • Conduct pre-sales product demonstrations, aid in scoping projects, developing proposals, and designing client product solutions and ensure that key project milestones are met and adhere to approved budgets / timelines


  • Bachelor’s degree in computer science, and a project management or equivalent certification/background
  • 4+ years of experience in building digital products, client solutions design, and implementation
  • Track record of delivering IT projects on time and on budget Strong attention to detail and organization skills
  • Strong verbal and written communication skills
  • Can-do attitude and ambition to grow professionally and personally
  • Preferred candidates will have an MBA or another advanced degree with an emphasis on digital or technical product management
  • 6+ years of experience in building digital products, client solutions design and implementation
  • Experience with machine learning applications: either direct implementation experience with emphases on NLP (Natural Learning Processing) applications, or relevant prior product management experience


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