Tiger Analytics is a fast-growing advanced analytics consulting firm, recognized as a trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
Sales Leader, Quality Engineering (USA)
Location
Texas
Posted
5 days ago
Salary
Not specified
Seniority
Mid Level
Job Description
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
Job Requirements
- 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
Benefits
- 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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