What are the responsibilities and job description for the Account Manager - Life Sciences position at Quantiphi?
- 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: 15 years
Work Location: West - USA Remote
Responsibilities:
- Build strong, trusted relationships with key clients to ensure they remain actively engaged with Quantiphi
- Foster trusted advisor relationships with key stakeholders and executive sponsors by demonstrating deep knowledge of the Life Sciences value chain and business processes
- As an Account Manager, play a pivotal role throughout the Sales lifecycle and drive business development within key accounts
- Manage client relationships and spearhead business development by engaging with key personnel, including CXOs and senior executives, while understanding the client's organizational culture
- Strengthen relationships with current clients by consistently offering solutions that align with their strategy and address immediate needs.
- Gain a comprehensive understanding of key client objectives, needs, and expectations
- Serve as the primary point of contact for all client-related matters, addressing concerns and needs
- Drive new sales to support overall account expansion and growth.
- Identify opportunities for improvement and new business within existing client accounts to meet performance goals
- Ensure the timely and successful delivery of solutions, aligned with customer goals and expectations
- Resolve any customer issues or complaints to maintain trust and ensure client satisfaction
Basic Qualifications:
- Proven experience of at least 5 years in account management or related roles within an Information Technology services or consultancy company (required).
- Minimum 10 years of experience working in IT services or consultancy for Life Sciences or Pharmaceutical clients (required).
- Strong understanding of the Life Sciences and Pharma industry sectors (required).
- Proven expertise in technical sales and solutions aligned with customer needs, particularly in cloud, data, and artificial intelligence (required).
- Demonstrated ability to effectively communicate, present, and influence stakeholders at all organizational levels, including executives and C-suite.
- Exceptional listening, communication, and presentation skills.
- Proven experience in contract negotiation.
- Experience in forecasting and tracking key account metrics, such as quarterly sales results and annual forecasts.
- Strong interpersonal skills with a talent for building relationships across all levels of an organization.
- Excellent organizational abilities
Other Qualifications:
- Resourceful, flexible and creative problem solver
- Growth mindset and can-do attitude
- Team player and highly collaborative
- Great interpersonal & communicative nature
- Great emotional quotient
- The ability for conflict resolution
- High analytical skills
- A high degree of initiative and flexibility
- High customer orientation
- High-quality awareness
- Excellent verbal and written communication skills
- Bachelor's degree OR equivalent work experience
- Ability to travel 50% of the time
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