Engagement Manager

Posted 2 Hours Ago
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Hiring Remotely in USA
Remote
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Lead delivery of medium- and large-scale AWS programs, overseeing planning, assurance, reporting, risk mitigation, program health, and customer outcomes. Manage multi-year product and service roadmaps, identify business opportunities, resolve customer issues, and drive continuous process improvement. Lead, recruit, coach, and develop business analysts and engineers while collaborating with technical and business leaders across global enterprise clients.
Summary Generated by Built In

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters.

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

  • 21 Google Cloud Partner of the Year awards in the past 10 years
  • 3 AWS AI/ML Partner of the Year awards
  • 3 NVIDIA Partner of the Year awards
  • 3 Snowflake Partner of the Year awards
  • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role: Engagement Manager

Employment type: Full Time

Experience: 8+ years

Location: Remote (USA)

Description:

We are looking for a strong EM lead with people management experience to lead a team of business analysts and engineers focused on building and driving solutions and insights to drive business efficiency and customer experience. The ideal candidate will have strong project management, leadership and cross-group collaboration skills.

What You Will Do:

  • As an Senior Engagement Manager, you’ll lead the delivery management of multi-functional medium/large scale AWS programs, covering project planning, delivery assurance and verification, tracking and reporting, and risk/mitigation planning.
  • Take accountability for our customers to ensure the program(s) realizes financial benefits and transformational outcomes, constantly identify and develop new business opportunities.
  • Work with engineering leads in strategizing and executing multi-year roadmap on portfolio of products, applications, and services.
  • Ensure quality execution and proactively identify potential customer issues and resolve them with speed and efficiency, to drive satisfaction, outcomes, and deliver positive customer partner experience.
  • Coordinate, measure, monitor and communicate on program(s) health.
  • Actively contribute to org-wide strategies, in defining and implementing those along with contributing to team’s roadmap and portfolio of services in alignment to the wider organization.
  • Maintain a relentless focus across the team on continuous improvement, planning and implementing changes to process, service and technology to transform how the team operates.
  • Build a collaborative environment - coach/mentor team members.
  • Recruit, motivate and develop highly skilled staffs that focuses on service delivery of key performance metrics as per the client contract.

Basic Qualifications:

  • Master's degree or equivalent practical experience.
  • Minimum 8 yrs of experience in delivering digital transformation projects to global clients.
  • Experience in program management, client service, and/or management consulting.
  • Knowledge of leading teams on projects using agile methodology and frameworks like scrum, kanban or XP, etc.
  • Strong verbal and written communication skills with technical and business leaders at all levels within large enterprises.
  • Aptitude in business analysis and leveraging quantitative analysis techniques for decision making.
  • Ability to work with minimal supervision in a dynamic and time sensitive work environment.
  • Knowledge and willingness to learn and apply emerging trends in business research, data science, artificial intelligence, machine learning, and cloud computing - AWS exposure is a value addition.
  • Team management experience is a must.

What is in it for you:

  • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
  • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
  • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
  • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Skills Required

  • Master's degree or equivalent practical experience
  • At least 8 years of experience delivering digital transformation projects to global clients
  • Experience in program management, client service, or management consulting
  • Experience leading teams using Agile methodologies and frameworks such as Scrum, Kanban, or XP
  • Strong verbal and written communication skills with technical and business leaders
  • Business analysis and quantitative analysis skills for decision-making
  • Ability to work with minimal supervision in a dynamic, time-sensitive environment
  • Knowledge of, and willingness to learn and apply, business research, data science, artificial intelligence, machine learning, and cloud computing trends
  • Team management experience
  • AWS exposure

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

Quantiphi Insights

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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