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Sales Leader, Quality Engineering

Tiger Analytics, Jersey City, New Jersey, United States, 07390

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, has recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. If you are passionate about working on unstructured business problems that can be solved using data and are excited about building, leading, and enabling a team of analytics professionals toward that objective, we would like to talk to you.

We are seeking a highly accomplished Sales Leader-cum-Client Partner in Quality Engineering (QE) to drive revenue growth, own strategic client relationships, and win multi-million-dollar QE transformation deals across global enterprises. This role requires deep expertise in QE services, client management, strong presales leadership, RFP ownership, and the ability to represent the organization as a thought leader in the QE ecosystem.

Responsibilities QE Sales & Revenue:

Own and drive end-to-end sales cycles for large QE opportunities (USD 5M+)

Consistently achieve and exceed annual QE revenue targets

Build and maintain a strong pipeline of exclusive and sole-sourced QE deals

Drive long-term managed services, annuity-based, and transformation-led QE engagements

Collaborate with the account Client Partners and enable channels for QE

Presales & Deal Shaping:

Creating RFP, RFI, and RFQ responses for QE opportunities

Shape differentiated QE solution strategies covering automation, AI-driven QE, QE for AI, performance engineering testing, data testing, and continuous testing

Drive pricing, commercials, value engineering, and deal structuring

Collaborate closely with capability/practice and delivery teams to create winning proposals

Client & Executive Stakeholder Management:

Build trusted advisor relationships with CXOs, CIOs, CTOs, Heads of Engineering, and Quality Engineering Leaders

Act as executive sponsor for strategic QE accounts

Lead executive presentations and contract negotiations

Position QE as a business enabler and AI-led transformation driver

Market, Brand & Practice Growth:

Represent the organization in industry QE forums, conferences, roundtables, and client events

Publish thought leadership content, including blogs, whitepapers, and articles on Quality Engineering, AI in testing, and digital quality trends

Partner with the India practice & capability team and marketing teams on QE branding, campaigns, analyst interactions, and GTM initiatives

Contribute to QE marketing strategies and market messaging

Identify emerging QE trends and influence service offerings and roadmap with the capability development team

15+ years of experience in IT services with an exclusive focus on Quality Engineering

Proven track record of winning multi-million-dollar QE deals (USD 5M+), including exclusive / sole-bid engagements

Extensive experience leading presales activities and RFP responses

Understanding of QE frameworks, tools, and transformation models

Demonstrated experience in QE marketing, thought leadership, and industry engagement

Excellent verbal and written communication skills with strong executive presence

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment with a high degree of individual responsibility.

Disclaimer Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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