Happiest Minds Technologies
Overview
Happiest Minds, the Mindful IT Company, applies agile methodologies to enable digital transformation for enterprises and technology providers by delivering seamless customer experience, business efficiency and actionable insights. We leverage a spectrum of disruptive technologies such as: Big Data Analytics, AI & Cognitive Computing, Internet of Things, Cloud, Security, SDN-NFV, RPA, Blockchain, etc. Positioned as Born Digital. Born Agile, our capabilities spans across product engineering, digital business solutions, infrastructure management and security services. We deliver these services across industry sectors such as retail, consumer packaged goods, edutech, e-commerce, banking, insurance, hi-tech, engineering R&D, manufacturing, automotive and travel/transportation/hospitality.
Headquartered in Bangalore, India; Happiest Minds has operations in USA, UK, The Netherlands, Australia and Middle East.
Role Overview We are seeking a dynamic and visionary
Director of Quality Engineering
to lead our global QE organization for AdTech platforms. The ideal candidate will bring deep expertise in AdTech ecosystems, a strong grasp of AI-driven quality practices, and a proven track record of driving automation-first strategies. You will be responsible for defining the QE vision, leading a high-performing team of 100+ professionals, and ensuring world-class quality across our products and services.
Key Responsibilities
Define and execute the QE strategy
aligned with organizational goals, with a focus on innovation, automation, and AI-enabled quality solutions.
Lead the transformation of quality practices
to meet the unique demands of the AdTech ecosystem, including programmatic advertising, data pipelines, and real-time bidding systems.
Drive quality governance
across all product lines, ensuring measurable quality KPIs and continuous improvement.
Lead, mentor, and grow a 100+ member global QE team
including managers, architects, automation engineers, and test analysts.
Foster a culture of accountability, innovation, and collaboration
across geographies.
Develop leadership succession plans and capability development programs .
Architect and champion AI-powered testing approaches
including predictive analytics for defect prevention, intelligent test case generation, and anomaly detection in large datasets.
Oversee the design, development, and maintenance of scalable automation frameworks
for web, mobile, API, OTT, and connected TV platforms.
Partner with engineering and product teams to embed shift-left
and
continuous testing
practices in the SDLC.
Ensure robust performance, security, and data validation testing
for large-scale, low-latency AdTech platforms.
Act as the primary QE liaison
with executive leadership, product owners, and client partners.
Provide strategic insights
and recommendations to improve product quality, time-to-market, and customer satisfaction.
Required Skills & Experience
25+ years
in IT industry with progressive experience in
Quality Engineering & Assurance .
10+ years
in senior QE leadership roles managing large, distributed teams (100+ people).
Proven experience in
AdTech
(e.g., DSP, SSP, ad serving, attribution, programmatic systems).
Ability to work independently and in a fast-paced environment.
Strong understanding of
AI/ML concepts
and practical application in testing & automation.
Good understanding of cloud-based testing ecosystems ( AWS
/
Google Cloud Platform ).
Deep understanding of QE 101s.
Strong stakeholder management, budget ownership, and vendor governance experience.
Exceptional communication, decision-making, and strategic planning skills.
Role Details
Seniority level: Director
Employment type: Full-time
Job function: Consulting and Engineering
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Headquartered in Bangalore, India; Happiest Minds has operations in USA, UK, The Netherlands, Australia and Middle East.
Role Overview We are seeking a dynamic and visionary
Director of Quality Engineering
to lead our global QE organization for AdTech platforms. The ideal candidate will bring deep expertise in AdTech ecosystems, a strong grasp of AI-driven quality practices, and a proven track record of driving automation-first strategies. You will be responsible for defining the QE vision, leading a high-performing team of 100+ professionals, and ensuring world-class quality across our products and services.
Key Responsibilities
Define and execute the QE strategy
aligned with organizational goals, with a focus on innovation, automation, and AI-enabled quality solutions.
Lead the transformation of quality practices
to meet the unique demands of the AdTech ecosystem, including programmatic advertising, data pipelines, and real-time bidding systems.
Drive quality governance
across all product lines, ensuring measurable quality KPIs and continuous improvement.
Lead, mentor, and grow a 100+ member global QE team
including managers, architects, automation engineers, and test analysts.
Foster a culture of accountability, innovation, and collaboration
across geographies.
Develop leadership succession plans and capability development programs .
Architect and champion AI-powered testing approaches
including predictive analytics for defect prevention, intelligent test case generation, and anomaly detection in large datasets.
Oversee the design, development, and maintenance of scalable automation frameworks
for web, mobile, API, OTT, and connected TV platforms.
Partner with engineering and product teams to embed shift-left
and
continuous testing
practices in the SDLC.
Ensure robust performance, security, and data validation testing
for large-scale, low-latency AdTech platforms.
Act as the primary QE liaison
with executive leadership, product owners, and client partners.
Provide strategic insights
and recommendations to improve product quality, time-to-market, and customer satisfaction.
Required Skills & Experience
25+ years
in IT industry with progressive experience in
Quality Engineering & Assurance .
10+ years
in senior QE leadership roles managing large, distributed teams (100+ people).
Proven experience in
AdTech
(e.g., DSP, SSP, ad serving, attribution, programmatic systems).
Ability to work independently and in a fast-paced environment.
Strong understanding of
AI/ML concepts
and practical application in testing & automation.
Good understanding of cloud-based testing ecosystems ( AWS
/
Google Cloud Platform ).
Deep understanding of QE 101s.
Strong stakeholder management, budget ownership, and vendor governance experience.
Exceptional communication, decision-making, and strategic planning skills.
Role Details
Seniority level: Director
Employment type: Full-time
Job function: Consulting and Engineering
#J-18808-Ljbffr