Full-Time
Staff Applied Scientist - Recommendation Systems
Glance
1,001-5,000 employees
Lock-screen internet platform with live commerce
No salary listed
Bengaluru, Karnataka, India
In Person
On-site in Bangalore, India.
Bachelor's, Master's, PhD
 AI & Machine Learning (1) |
|---|
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- Deep expertise in Machine Learning, Data Science, and Recommendation Systems at scale.
- Strong applied understanding of experimentation, metrics, and causal reasoning in real-world systems.
- Ability to take models from idea → prototype → production → business impact.
- 10+ years of industry experience in ML/Data Science building large-scale recommendation or personalization systems.
- Hands-on experience applying techniques from ML, Deep Learning, NLP, Reinforcement Learning, Time Series, and Statistics.
- Strong programming skills in Python with production-quality code practices.
- Experience with big data ecosystems, especially Apache Spark.
- Familiarity with cloud platforms such as AWS, GCP (Vertex AI), or Azure.
- Experience operating in identity-constrained / privacy-aware environments (e.g., iOS/Android, identity-less systems) is a plus.
- Excellent communication skills—able to explain complex technical ideas clearly to non-technical stakeholders.
- High curiosity, strong problem-solving ability, and a bias toward learning and experimentation.
- Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science.
- PhD is a plus, but not mandatory.
- We value diverse academic backgrounds—great data scientists come from many disciplines.
- Design, build, and deploy large-scale recommendation and personalization models using diverse, high-volume data sources.
- Lead rapid experimentation—from hypothesis formulation to offline evaluation and online A/B testing—balancing speed, rigor, and business impact.
- Develop and productionize end-to-end ML pipelines, including data preparation, feature engineering, model training, evaluation, and monitoring.
- Partner closely with Product, Engineering, Design, UX, and Business teams to translate product goals into scalable ML solutions.
- Monitor model health and performance, applying statistical techniques to ensure robustness and long-term effectiveness.
- Explore and prototype new ML techniques to improve relevance, engagement, and monetization.
- Act as a technical interface for stakeholders, clearly articulating trade-offs, results, and next steps.
- Contribute to Glance’s thought leadership through blogs, case studies, and industry conference talks.
- PhD is a plus, but not mandatory.
- We value diverse academic backgrounds—great data scientists come from many disciplines.
- Experience operating in identity-constrained / privacy-aware environments (e.g., iOS/Android, identity-less systems) is a plus.
Glance runs two platforms: Glance and Roposo. Glance delivers internet content directly on smartphone lock screens using AI personalization, and Glance LIVE adds live content to the lock screen for over 400 million devices. Roposo is a creator-driven live entertainment commerce platform where users shop live with hundreds of creators and brands. The company aims to embed internet experiences into everyday device use and help creators monetize live content, operating as an unconsolidated subsidiary of InMobi and funded by Jio Platforms, Google, and Mithril Capital, with headquarters in Singapore.
Company Size
1,001-5,000
Company Stage
Late Stage VC
Total Funding
$390M
Headquarters
Bengaluru, India
Founded
2019
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Simplify's Take
What believers are saying
- Glance's FY2025 revenue grew 33.5% to $97.6 million.
- Samsung TV launch in June 2026 and DIRECTV rollout expand connected-TV reach.
- Productsup integration in 2026 lowers merchant onboarding friction for enterprise brands.
What critics are saying
- Glance's FY2025 pre-tax loss hit $105.9 million, dwarfing $97.6 million revenue.
- Glance marketing consumed nearly 80% of revenue, leaving fragile unit economics.
- Glance depends on Samsung and DIRECTV distribution; any partner backlash kills access quickly.
What makes Glance unique
- Glance runs native on Samsung Tizen TVs, reaching millions of 2020-plus models.
- Glance pairs lock-screen distribution with AI shopping, unlike app-store-dependent consumer platforms.
- Glance uses OEM and carrier partnerships across Samsung, DIRECTV, Motorola, and telecom operators.
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Benefits
Direct & Indirect Compensation
Employee Health Support
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Parental Leave
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Generous Time Off Programs
Free and Discounted Products
4 hours/ Month Paid Volunteer Time
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6 month growth
↑ 0%1 year growth
↓ -1%2 year growth
↓ -2%Glance and Productsup partner to enable agentic commerce for enterprise brands. Brands can now easily connect their existing product feed to Glance without custom APIs. Glance, InMobi's consumer technology company, announced a partnership with Productsup, the leading enterprise feed management and syndication platform that processes over two trillion products per month across more than 2,500 channels. Glance is now available as a native export channel within Productsup, enabling brands and retailers to connect their product feeds to Glance using the same workflows they already use to reach Google Shopping, TikTok, Meta, and Amazon. Glance's partnership with Productsup provides a merchant-centric commerce infrastructure that removes the primary barrier to brand participation in agentic commerce: the complexity of getting product data into a format that AI agents can act on. Productsup solves this problem by enriching agentic attributes that help AI agents understand the products to more readily match shopper intent. For Productsup's 1,000-plus enterprise customers, including Sephora, Beiersdorf, and PUMA, activating Glance now simply requires selecting the channel from Productsup's export library, mapping existing catalog data, and running the feed. "Agentic commerce is moving fast, and the brands that will win are the ones that can get their product data in front of AI systems without rebuilding their entire stack to do it," said Alan Turner, Vice President of Americas, Productsup. "Adding Glance to Productsup means our customers can enter one of the most compelling new commerce surfaces available today using the same workflows, the same catalog optimization, and the same data quality standards they already rely on across every other major channel." The partnership also addresses a structural challenge that has slowed brand adoption of agentic commerce more broadly: internal IT bottlenecks. Even brands that have committed to entering AI-driven commerce channels often face months of delay configuring real-time catalog feeds from scratch. The Productsup integration eliminates that friction, extending Productsup's tools that optimize feed performance across the platform's existing channel network to Glance. "Enterprise brands have spent years building the customer relationships and checkout experiences that define their business," said Mansi Jain, Chief Operating Officer of Glance. "Glance was designed to extend that relationship, not replace it. Through Productsup, brands can now activate Glance using the same workflows they already use to reach every major commerce channel. They keep full ownership of checkout, their customer data, and the purchase experience they've built while gaining access to tens of millions of consumers through agentic commerce without any added complexity." This integration follows Glance's recent announcement of its partnership with Samsung TV, which is turning millions of living room screens into a personalized, AI-driven shopping destination. Glance's distribution spans surfaces that most advertising platforms cannot reach directly, including Samsung Galaxy devices, DirecTV, and additional channels secured through OEM and carrier partnerships. Brands entering the Glance ecosystem through Productsup gain access to that inventory through infrastructure they already operate, without new vendor relationships or technical integrations.
Glance, InMobi's consumer technology company, has partnered with Productsup, an enterprise feed management platform processing over two trillion products monthly across 2,500 channels. The integration allows brands and retailers to connect product feeds to Glance using existing workflows for platforms like Google Shopping, TikTok, and Amazon. Productsup's 1,000-plus enterprise customers, including Sephora, Beiersdorf, and PUMA, can now activate Glance by selecting it from the export library and mapping catalogue data. The partnership addresses barriers to brand participation in agentic commerce by simplifying product data formatting for AI agents. The integration follows Glance's recent partnership with Samsung TV. Glance's distribution includes Samsung Galaxy devices, DirecTV, and other channels through OEM and carrier partnerships.
Glance and Samsung partner to bring ai-assisted shopping to the TV. BySharon Edelson, Senior Contributor. I write about retail and the forces that are redefining shopping. Jul 07, 2026, 10:12am EDT Jul 07, 2026, 10:42am EDT Summary. Selling through television has historically been difficult, but Glance and Samsung are partnering to revolutionize the experience. They aim to transform millions of Samsung smart TVs in the US into personalized, AI-powered shopping destinations. This first-to-market agentic commerce solution integrates Glance's AI platform natively with Samsung's Tizen OS, enabling interactive browsing. Users can create personalized shopping feeds and explore products like fashion and accessories using just voice and remote, eliminating the need for secondary devices. Samsung believes the living room's big screen, combined with AI and natural language, offers an immersive and unique shopping experience, making it a complementary approach to traditional retail. Historically, selling through the TV has been a challenge. In the late 70's, for example, Warner Cable introduced QUBE, an experimental two-way cable television system that enabled live interactivity. It never made it off the launch pad. Now, Glance and Samsung think they have the winning formula. The two companies formed a partnership to transform the living room screen into a personalized AI-powered shopping destination. The first-to-market agentic commerce experience will be available across millions of Samsung smart televisions in the United States. The integration, built on Glance's proprietary AI platform, runs natively on Samsung's first party operating system, called Tizen OS, turning the living room screen into a generative-AI-powered, interactive browsing vehicle. Naveen Tewari, founder and CEO at inMobi and Glance, said, "Every one of us sits in front of the television getting inspired but not being able to act on it. With the partnership between Samsung and Glance, that's going to become a reality." "The traditional way of shopping on the big screen is very primitive," said Tewari. "The Home Shopping Network is very primitive and not very efficient." "The agent uses context to surface products," he added. "It analyzes what shows you've watched and can understand what inspires you. The agents are really trying to come in and enable humans to make better decisions." MORE FOR YOU "A second device is needed to pay for any products," Tewari said. "Making a payment from a TV is hard. If you want to complete a transaction, when you want to check out, you have to use a phone." The partnership has benefits for brands. The integration creates for brands and advertisers, a measurable, performance-driven commerce channel that reaches millions of consumers long before they open a browser or pick up a phone. Forbes Daily: Join over 1 million Forbes Daily subscribers and get our best stories, exclusive reporting and essential analysis of the day's news in your inbox every weekday. Dan Glassman, senior director and head of new business development for Samsung Electronics, said Samsung intentionally targeted living room screens. "The living room offers some benefits above and beyond what you can do on mobile and desktop, particularly when you include AI," he said. "We're talking about the biggest screen in the living room where you're able to have a natural language conversation and talk to Glance's agent about different shopping interests. That becomes highly personalized." "It's rich media," he added. "It's immersive on the big screen so it's complementary to other forms of shopping. This is bringing a big screen experience to an area of commerce that hasn't really been cracked yet." Glance's proprietary platform enables two-way, interactive shopping on the TV. Viewers can create personalized shopping feeds and virtual wardrobes, and explore fashion, accessories, and lifestyle products without the need for a smartphone or secondary device. Because interaction is handled through voice and remote, friction is reduced at the precise moment when consumer attention and inspiration intersect, Glassman said. The Glance agent on all Samsung smart TV models from 2020 onward is accessible through the Home Screen's "For You" and "Apps" tabs. "We have a lot of applications on our TVs," Glassman said. "That's encompassing all the media systems and applications plus the gaming hub and art mode. It's the front porch of Samsung TVs. Glance will be prominently placed so when you boot up the TV, Glance will be in a variety of different merchandising rows and editorial units that would drive users to Glance." "It's a unique product," said Sucharita Kodali, vice president and principal analyst at Forrester. "There isn't anything like it and they seem to have this big distribution with Samsung on lock screens. That should get them a lot of awareness and hopefully some adoption too. I haven't seen any solutions that are tracking fashion discovery the way that they are." "It's my understanding that it's not going to be intrusive," Kodali said. "The experience is kind of midstream. I think that it's primarily on the lock screen, it just may be in the background. It's not something that interrupts an existing experience. It's not an interstitial in the middle of a show." "Shopping through the TV never took off because there wasn't always the hardware," she said. "This should give Samsung and Glance a lot of data from different markets and different consumers. They'll discover who are the audiences to use their products. They can't be all things to all people, but if they can discover how they can be some things to some people, that's hopefully the goal here." LOADING VIDEO PLAYER... 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Glance, InMobi's consumer technology company, has appointed Ashim Sen as Vice President of Americas Growth & Revenue for its telecom operator business. Sen will lead Glance's telecom portfolio across North and Latin America, focusing on partnerships with mobile operators to expand the company's AI-powered shopping experiences. Sen joins from Verizon, where he led device monetisation and oversaw on-device consumer experiences and strategic partnerships. He brings over a decade of experience in telecom, media and adtech partnerships. The appointment supports Glance's expansion across the Americas through partnerships with operators, device manufacturers and connected TV platforms. Recent collaborations include Samsung, DIRECTV and Motorola. Glance is backed by Mithril Capital, Google and Jio Platforms.
Glance, InMobi's consumer technology company, has launched an agentic commerce experience on millions of Samsung smart TVs in the United States. The integration, built on Glance's proprietary AI platform, runs natively on Samsung's Tizen OS. The platform enables two-way interactive shopping through voice and remote control, allowing viewers to create personalised shopping feeds and virtual wardrobes without requiring a smartphone. The technology aims to reduce friction between consumer attention and purchase decisions. The partnership is now live on all 2020 and later Samsung TV models in the US, accessible through the "For You" and "Apps" tabs. Glance is backed by Mithril Capital, Google and Jio Platforms. The integration creates a performance-driven commerce channel reaching consumers before they use traditional browsing methods.