Director Software Engineering

Tredence Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Tredence Inc. seeks a Director of Software Engineering to lead GenAI product strategy and accelerator initiatives within the Studioteam.

You will guide a cross-functional team of engineers, data scientists, and architects to deliver scalable AI-driven offerings for enterprise clients in Bengaluru. The role requires 15–20 years of AI/Analytics leadership experience, a strong track record in enterprise-grade AI products, and the ability to translate research into commercial solutions.

Qualifications

• 15–20 years of experience in AI/Analytics product innovation, solution design, or R&D leadership.
• Proven success in building enterprise-grade AI or data-driven products, preferably in industry domains such as Retail, CPG, BFSI, or Manufacturing.
• Strong understanding of AI/ML frameworks, LLMs, GenAI architectures, and MLOps pipelines.
• Hands-on exposure to accelerator design, development, product roadmap ownership, and market launch.
• Experience collaborating with hyperscalers (AWS, Azure, GCP), data plaforms (Databricks & Snowflake)
• Strong business acumen with the ability to translate research into commercial products.
• Excellent communication and stakeholder management skills across executive and technical levels.
• A track record of thought leadership—publications, conference presentations, or patents preferred.

Responsibilities

• Lead ideation, design, and development of AI-powered products, accelerators, and reusable assets.
• Build industry-specific solutions aligned to client challenges and growth priorities.
• Maintain a roadmap of reusable AI assets, ensuring alignment with client and market needs.
• Evaluate and integrate partner solutions from hyperscalers, data platforms, and ISVs to accelerate time-to-market.
• Collaborate with sales, presales, and marketing to define GTM strategies and enable account plays.
• Represent the organization at industry events, analyst briefings, and thought leadership forums.
• Drive visibility through whitepapers, blogs, and product showcases.
• Track and improve innovation metrics—adoption rate, time-to-market, and business impact.

Skills

AI/Analytics leadership

GenAI architectures

MLOps pipelines

Roadmap ownership

Stakeholder management

Thought leadership

Cross-functional leadership

Publications/patents

Job description

We are seeking a dynamic Director – Software Engineering to lead our GenAI Products and Accelerator strategy within the Studioteam. This role combines deep hands-on expertise in developing full stack solutions using GenAI, leading engineering teams and proven track record of building scalable, repeatable, and differentiated offerings for enterprise clients.

You will lead a cross-functional team of engineers, architects, data scientists, and engineers to conceptualize, design, and operationalize AI-driven products and accelerators that drive measurable client value and business growth.

Key Responsibilities

• Lead the ideation, design, and development of AI-powered products, accelerators, and reusable assets.
• Build industry-specific solutions aligned to client challenges and growth priorities.
• Maintain a roadmap of reusable AI assets, ensuring consistent alignment with evolving client and market needs.
• Evaluate and integrate partner solutions from hyperscalers, data platforms, and ISVs to accelerate time-to-market.
• Collaborate with sales, presales, and marketing to define GTM strategies and enable account plays.
• Represent the organization at industry events, analyst briefings, and thought leadership forums.
• Drive visibility through whitepapers, blogs, and product showcases.
• Track and improve innovation metrics—adoption rate, time-to-market, and business impact

Qualifications & Experience

• 15–20 years of experience in AI/Analytics product innovation, solution design, or R&D leadership.
• Proven success in building enterprise-grade AI or data-driven products, preferably in industry domains such as Retail, CPG, BFSI, or Manufacturing.
• Strong understanding of AI/ML frameworks, LLMs, GenAI architectures, and MLOps pipelines.
• Hands-on exposure to accelerator design, development, product roadmap ownership, and market launch.
• Experience collaborating with hyperscalers (AWS, Azure, GCP), data plaforms (Databricks & Snowflake), and AI ecosystem partners.
• Strong business acumen with the ability to translate research into commercial products.
• Excellent communication and stakeholder management skills across executive and technical levels.
• A track record of thought leadership—publications, conference presentations, or patents preferred.