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Associate Product Specialist in India

2,269 active opportunities · Updated October 2026

Explore current associate product specialist jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Bengaluru, KARNATAKA, India· Full-time
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About Sigmoid Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best-in-class end-to-end data value chain capabilities spanning 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. You'll 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. Role: Associate Director - Delivery About the Role You will lead delivery for large-scale Data Engineering programs, working closely with clients to architect and drive execution of modern data platforms - data pipelines, cloud migrations, lakehouse implementations, and real-time data processing solutions. You will own end-to-end delivery governance across multiple engagements, act as a senior escalation point for clients, and provide technical and delivery leadership to teams building enterprise-grade data engineering solutions. If you enjoy operating at the intersection of technical depth in Data Engineering and delivery leadership, we would like to talk to you. Required Skills & Competencies 15-18 years of experience in Project Delivery, Client Engagement, or Data Engineering Delivery Management, with a significant portion focused on Data Engineering programs. Strong hands-on exposure to Data Engineering tools and technologies, including cloud data platforms Proven experience in Analytics/Consulting/IT Services, managing complex Data Engineering project execution, architecture reviews, and governance. Exposure to US/Global clients, with experience handling client escalations. Ability to manage multiple Data Engineering project teams and pods, mentor Delivery/Engineering Managers and technical leads, and drive engineering process improveme

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📍 Bengaluru, KARNATAKA, India· Full-time
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Quick readStrong listing-quality and freshness signals

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. About IRL (Instawork Robotics Labs) Researchers at UC Berkeley have identified a “100,000-year data gap” - the gulf between what trained AI language models and what physical robots actually have to learn from. Closing that gap is the defining infrastructure challenge of the physical AI era. IRL is Instawork’s answer to it. We deploy skilled workers into real commercial and residential environments - kitchens, warehouses, hotel floors, homes - to capture the high-fidelity task data that the world’s leading Robotics labs use to train their foundation models. Read more here . Build. Scale. Operate. We’re looking for a hardcore operations leader who thrives in the real world — someone who has built and scaled large, distributed operations from the ground up and knows what it takes to turn an idea into an operation that actually works. This is not a role for someone who only manages dashboards, processes, or strategy decks. We’re looking for a builder and operator, someone who can start with a blank sheet of paper, build the team, design the processes, solve problems on the ground, and scale the operation without losing speed or quality. You’ll be operating in an environment where things change quickly, the problems are often ambiguous, and there is rarely a playbook to follow. What You’ll Do Build and scale operations from the ground up — define the operating model, build processes, hire teams, establish metrics, and create the systems needed to scale. Own large, distributed, real-world operations acro

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