Tredence Inc.
Website:
tredence.com
Company:
https://www.linkedin.com/company/tredence
Seniority: Director
Industries: Business Consulting and Services, IT Services and IT Consulting, and Technology, Information and Media
Job details:
Role Overview:
We are seeking a dynamic Director – Software Engineering to lead our GenAI Products and Accelerator strategy within the Studio team. 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.
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