Tredence is a global data science solutions provider focused on solving the last mile problem in
AI. The last mile is the gap between insight creation and value realization. Headquartered in
San Jose, the company embraces a vertical-first approach and an outcome-driven mindset to
help clients win and accelerate value realization from their analytics investments. Tredence is a
Great Place to Work-Certified and a Leader in the Forrester Wave: Customer Analytics Services.
Tredence is 2400 plus employees strong with offices in San Jose, Foster City, Chicago, London,
Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare,
travel and industrials as clients.
Role Overview:
We are seeking a dynamic Director Product Innovation & 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 metricsadoption rate, time-to-market, and business impact
Qualifications & Experience
- 1520 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 leadershippublications, conference presentations, or patents preferred.
