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Company Summary

Company Overviews

Quantcast is the AI-powered ad platform built for performance marketers. Leveraging nearly 20 years of expertise, our mission is to radically simplify open internet advertising. We harness AI and machine learning to deliver superior audience intelligence and drive exceptional campaign performance. With real-time audience intelligence, end-to-end workflow simplicity, and future-proof cookieless reach, Quantcast helps advertisers and agencies of all sizes understand audiences deeply, act faster, and turn ad spend into measurable growth.

Rating Reviews

Rating is calculated based on 9 reviews and is evolving.

Featured Reviews

Software Engineer
3.9
26 September 2026
Engaging Tech Challenges, but Management Needs Polish
Pros: The engineering team at Quantcast is genuinely talented and collaborative. I enjoyed tackling complex problems in the adtech space, and the remote work flexibility has been a major plus. The company offers solid health benefits and a competitive compensation package for the tech industry. There's a good sense of camaraderie among colleagues, which makes day-to-day work enjoyable.
Cons: While the work itself is stimulating, there's a notable lack of consistent direction from senior leadership. Project priorities can shift unexpectedly, leading to some frustration. Information doesn't always flow down effectively, and I sometimes felt out of the loop on broader company strategy. This could be improved with more transparent and frequent updates.
Advice to Management: Please foster more consistent communication from leadership regarding strategic direction and project roadmaps. This will help align teams and reduce uncertainty.
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Senior Account Manager
3.9
10 September 2026
Solid AdTech Role with Room for Improvement
Pros: I've really appreciated the learning opportunities and the supportive team environment here. Quantcast invests in its employees, and there's a genuine sense of camaraderie among colleagues. The exposure to cutting-edge adtech solutions and client work is consistently interesting and challenging.
Cons: While pay and benefits are decent for the adtech sector, there's sometimes a feeling that compensation could be more aggressive compared to competitors. Also, internal processes can occasionally be a bit slow to adapt, which can impact project timelines.
Advice to Management: Consider more frequent market-based compensation reviews to ensure competitiveness. Streamlining some internal approval processes could boost efficiency significantly.
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Software Engineer
3.9
23 September 2026
Engaging AdTech Role with Strong Teamwork
Pros: The engineering team in Chennai is fantastic. We tackle complex problems in real-time bidding and data analytics, which is super engaging. Management is generally approachable and supportive of individual growth. The company culture promotes learning and offers opportunities to work on cutting-edge technologies within the AdTech sector. There's also a good level of autonomy in daily tasks.
Cons: While WLB is decent, there are periods, especially nearing major product launches, where the workload can become quite intense. Sometimes, cross-functional communication could be streamlined to avoid minor delays. Pay and benefits are competitive for the market, but perhaps could be more aggressive given the specialized skills required.
Advice to Management: Continue fostering innovation and team collaboration. Consider more proactive workload balancing during peak project phases and enhancing benefits to stay highly competitive in the tech talent market.
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Common Questions About Quantcast

Does Quantcast offer good sick leave benefits for their tech roles in the US?
Does Quantcast offer a 401(k) or other retirement savings options for their employees in the tech industry?
What is the feedback culture like at Quantcast, especially for junior roles in the ad tech industry?
What is it like working in category management at a global tech company like Quantcast in San Francisco?
What's it like to be a CEO at a growing adtech company like Quantcast in San Francisco?
What's it like working as a data scientist at Quantcast in San Francisco?
What is the day-to-day working culture like at Quantcast for a data scientist in their New York office?
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