AI Assets Leader

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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Information Technology • Consulting
The Role

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there.

Our culture is modelled around expertise and mutual respect with a team first mindset. Youʼll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office.

About the Role:

You will work on a broad range of cutting-edge deep learning and Gen AI problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using deep learning and Gen AI

, we would like to talk to you Role: Gen AI Assets Leader Key Responsibilities:

  • Create and maintain a repository of reusable artefacts by identifying projects with high potential for demo and prototype
  • Work with delivery teams to extract and adapt reusable assets from past
  • Build scalable, modular demo environments that can be customized for multiple
  • Partner with marketing to package and present these demos for campaigns and
  • Develop interactive, story-driven demo flows that clearly connect features to business value ex: day in the life simulations, addressing client KPIs etc
  • Collaborate with AI CoE and data engineering teams to integrate realistic datasets (e.g., POS data, market research, supply chain feeds).
  • Optimize demo performance to ensure smooth delivery in both online and in-person
  • Work closely with pre-sales consultants to align demos with proposal
  • Participate in joint client sessions to answer technical and functional questions during the
  • Gather prospect feedback during and after demos to refine
  • Document demo scripts, configurations, and user flows for easy
  • Introduce new accelerator concepts based on client requests and market
  • Experiment with new AI tools, prompts, and frameworks to enhance demo
  • Introduce new accelerator concepts based on client requests and market
Desired Experience & Education:
  • 12+ years of experience in Data Science, with proven pre-sales
  • Strong technical expertise in ML, NLP, GenAI, and data
  • Strong capability in data productization and solution
  • Experience in creating accelerators, reusable IP, or industry
  • Proven ability to collaborate across delivery, marketing, and sales teams
  • Familiarity with multiple domains (e.g., CPG, pharma, BFSI)
  • Excellent written and verbal communication skills
  • Familiarity working with international stakeholders in a consultative environment

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The Company
HQ: New Jersey, NJ
499 Employees
Year Founded: 2013

What We Do

Sigmoid is a leading data engineering and AI solutions company that helps enterprises gain a competitive advantage with effective data-driven decision-making. Our team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage our expertise in open-source and cloud technologies to develop innovative frameworks catering to specific customer needs. Our unique approach has positively influenced the business performance of our Fortune 500 clients across CPG, retail, banking, financial services, manufacturing, and other verticals. Backed by Sequoia Capital, Sigmoid has offices in New York, San Francisco, Dallas, Lima, Amsterdam, and Bengaluru. We are recognized among the world's fastest growing and innovative tech companies, winning several awards and recognition like the Deloitte Technology Fast 500, Financial Times- The Americas’ Fastest Growing Companies, Inc. 5000, Great Place To Work- India’s Best Leaders in Times of Crisis, Data Breakthrough, Aegis Graham Bell, TiE50, NASSCOM Emerge 50, and others. Learn more: https://www.sigmoid.com/ or https://sigmoid.com/careers/ for careers.

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