Tiger Analytics

Delivers Data and AI transformation

Sales Leader - Quality Engineering Services

Account ExecutiveConfirmed live in the last 24 hours

Full-timeJersey City, NJ, USANo salary listedHybrid

About the Job

Requirements

At least 15 years of experience in IT services with an exclusive focus on Quality Engineering.
A proven track record of winning multi-million-dollar Quality Engineering deals of USD 5 million or more, including exclusive or sole-bid engagements.
Extensive experience leading presales activities and responses to requests for proposals.
Understanding of Quality Engineering frameworks, tools, and transformation models.
Demonstrated experience in Quality Engineering marketing, thought leadership, and industry engagement.
Strong verbal and written communication skills and executive presence.

Responsibilities

Own and drive end-to-end sales cycles for large Quality Engineering opportunities of USD 5 million or more.
Consistently achieve and exceed annual Quality Engineering revenue targets.
Build and maintain a strong pipeline of exclusive and sole-sourced Quality Engineering deals.
Drive long-term managed services, annuity-based, and transformation-led Quality Engineering engagements.
Collaborate with account Client Partners and enable channels for Quality Engineering.
Create responses to requests for proposals, requests for information, and requests for quotations for Quality Engineering opportunities.
Shape differentiated Quality Engineering solution strategies covering automation, artificial-intelligence-driven Quality Engineering, Quality Engineering for artificial intelligence, performance engineering testing, data testing, and continuous testing.
Drive pricing, commercial terms, value engineering, and deal structuring.
Collaborate with capability, practice, and delivery teams to create winning proposals.
Build trusted-advisor relationships with chief executives, chief information officers, chief technology officers, heads of engineering, and Quality Engineering leaders.
Act as executive sponsor for strategic Quality Engineering accounts.
Lead executive presentations and contract negotiations.
Position Quality Engineering as a business enabler and artificial-intelligence-led transformation driver.
Represent the organization at industry Quality Engineering forums, conferences, roundtables, and client events.
Publish thought leadership content, including blogs, white papers, and articles on Quality Engineering, artificial intelligence in testing, and digital quality trends.
Partner with the India practice and capability team and marketing teams on Quality Engineering branding, campaigns, analyst interactions, and go-to-market initiatives.
Contribute to Quality Engineering marketing strategies and market messaging.
Identify emerging Quality Engineering trends and influence service offerings and roadmaps with the capability development team.

Sales Leader, Quality Engineering Services

Tiger Analytics Inc. · Jersey City, United States (Hybrid) · Full-time · Posted 2026-04-29

Workplace: hybrid

Department: Consulting

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

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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About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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