Role Overview

As Design Manager, you’ll lead the evolution of Glance AI’s visual identity across campaigns, platforms, and global markets. You’ll set the creative bar, guide a team of designers, and partner closely with cross-functional leaders to deliver visually powerful, culturally relevant work. With a strong grasp of pop culture and consumer behavior—especially in the US—you’ll ensure Glance AI’s design stays distinctive, scalable, and future-forward.

Key Responsibilities

• Design Leadership:Lead, mentor, and grow a team of designers, setting high standards for craft, creativity, and execution.
  • Visual Strategy & Direction: Define and evolve Glance AI’s visual language across campaigns, social, and brand touchpoints—ensuring consistency, clarity, and impact.
  • Campaign Ownership: Partner with creative, copy, motion, and strategy leads to shape and execute integrated, concept-driven campaigns from idea to launch.
  • Social-First Excellence: Oversee social design systems and content, ensuring work is engaging, culturally relevant, and optimized for digital platforms.
  • Trend & Culture Leadership: Stay ahead of shifts in fashion, tech, and American pop culture; translate insights into proactive creative opportunities for the brand.
  • Multi-Format Oversight: Guide design across static, motion, short-form video, films, presentations, and large-scale brand assets.
  • Global Lens: Lead design solutions for international markets, with strong sensitivity to US audiences while maintaining global consistency and scalability.
  • AI & Innovation: Champion experimentation with AI-powered design tools and emerging technologies to improve speed, quality, and creative exploration.
  • Cross-Functional Collaboration: Act as a strategic partner to marketing, product, content, and leadership teams in a fast-paced start-up environment.

What We’re Looking For

• 8–10 years of experiencein graphic or visual design, with at least 2–3 years in a people-management or lead role.
  • A strong portfolio showcasing large-scale campaigns, social-first systems, and high-quality brand design.
  • Experience in fashion, lifestyle, media, or tech categories preferred.
  • Proven ability to lead digital-first and motion-forward creative work.
  • Deep understanding of US consumer sensibilities and contemporary pop culture.
  • Experience designing for global or multi-market brands.
  • A confident, collaborative leader who balances creative vision with executional rigor.
  • Comfort using and advocating for AI and emerging tools within the creative workflow.

Why Join Us?

• Lead and shape the work of one of the most ambitious creative teams in the AI + content discovery space.
  • Have a direct hand in defining the global visual identityof a fast-scaling brand.
  • Operate at the intersection of design, technology, culture, and leadership.
  • Grow in a start-up environment that values ownership, bold ideas, and decisive creative leadership.

Role Overview

As Design Manager – Digital, Interaction & UI/UX, you’ll lead the evolution of Glance AI’s digital and product-facing visual experiences. You’ll be responsible for shaping how users interact with the brand across surfaces—social, product, web, and emerging platforms—balancing brand expression with usability, clarity, and performance.

This role blends hands-on design leadership with strategic ownership. You’ll guide multidisciplinary designers while actively designing digital-first experiences that are intuitive, engaging, and culturally relevant—especially for US consumers.

Key Responsibilities

Digital, Interaction & UI/UX Leadership

• Own the design direction for digital experiences, including product surfaces, web, social platforms, and interactive brand touchpoints.
  • Lead UI/UX thinking—from user journeys and wireframes to high-fidelity design systems—ensuring experiences are intuitive, scalable, and on-brand.
  • Design and oversee interaction patterns, motion behaviors, and micro-interactionsthat elevate usability and engagement.

Campaigns & Multidisciplinary Design

• Translate campaign ideas into digital-first and interaction-led executions, ensuring strong continuity across brand, product, and marketing surfaces.
  • Collaborate closely with copy, product, engineering, motion, and strategy teams to bring concepts to life across platforms.
  • Maintain a high bar for craft across static, motion, and interactive formats.

Social & Platform-Native Design

• Lead social-first and platform-native design systems—optimizing for performance, engagement, and evolving platform behaviors.
  • Design and review content across feeds, stories, short-form video, and emerging interactive formats.

Design Systems & Consistency

• Build and evolve design systemsthat balance brand expression with usability across digital and product environments.
  • Ensure visual and interaction consistency across geographies, devices, and platforms.

Trend, Culture & Innovation

• Stay ahead of digital design trends, interaction patterns, and UX best practices, with a strong pulse on US consumer behavior.
  • Explore and integrate AI-driven design toolsand emerging technologies to improve speed, experimentation, and creative output.

Team Leadership & Collaboration

• Manage, mentor, and grow a team of multidisciplinary designers, fostering strong digital and UX capabilities.
  • Provide clear creative direction, feedback, and quality control across projects.
  • Partner with senior stakeholders to align design outcomes with business and product goals.

What We’re Looking For

• 8–10 years of experiencein digital design, UI/UX, or interaction design, with managerial experience leading design teams.
  • A portfolio demonstrating end-to-end digital thinking—UX flows, interaction design, and polished UI across platforms.
  • Strong experience designing for products, platforms, or digital ecosystems, not just marketing visuals.
  • Proven ability to bridge brand, marketing, and product design seamlessly.
  • Experience in fashion, tech, consumer apps, or content platforms preferred.
  • Deep understanding of US digital behaviors and platform conventions.
  • Comfort collaborating with product managers and engineers in fast-moving environments.
  • Hands-on mindset with openness to AI-powered and emerging design tools.
  • A leader who thrives in ambiguity, moves fast, and elevates both ideas and people.

Why Join Us?

• Lead the design of high-impact digital and interactive experiencesat the intersection of AI, content, and culture.
  • Shape both brand expression and product usabilityat global scale.
  • Work with a fast-growing, cross-functional team that values ownership and experimentation.
  • Influence how millions of users experience Glance AI every day.

The role

As a Senior UX Designer, you'll own design end-to-end—from messy problem to shipped experience. You'll frame problems before jumping to solutions, navigate ambiguity without waiting to be unblocked, and hold the craft bar high across interaction quality, visual clarity, and product fit. You'll work closely with product and engineering and be a partner they trust.

What you'll do

• Frame before you solve. Define clear problem statements. Evaluate multiple approaches. Articulate trade-offs against product goals and user needs.
• Design complex flows, not just screens. Solve for end-to-end journeys. Catch gaps and edge cases before engineering does.
• Raise the craft bar. Ship experiences with strong interaction quality, visual clarity, and usability. Contribute improvements to design systems and patterns.
• Own the research thread. Identify and plan research efforts aligned to product goals. Work with the research function to ensure execution matches intent. Use data and insights to bring the voice of the user into every product conversation.
• Run and learn from experiments. We move fast and test often. You'll design for experimentation, interpret what the results are saying, and use that to sharpen your next move.
• Drive work to done. Own complex feature work from exploration through launch. Ensure what ships meets the quality bar you set.
• Tell the product story. Communicate design decisions and trade-offs clearly. Influence product direction through how you frame and present your thinking.

Who you are

• 4+ years in UX or product design, with a portfolio of experiences that are live and used by real people at scale. A portfolio is required to apply.
• You've shipped complex consumer product experiences, end-to-end, at a fast-moving team.
• You think in systems. You connect individual screens to flows, flows to journeys, journeys to outcomes.
• You have a strong point of view on interaction quality and visual craft—and the portfolio to back it up.
• You're comfortable using research and data to sharpen your design thinking—not just as validation, but as a tool for discovery.
• You communicate well. Your design reviews are clear, your trade-offs are reasoned, your thinking lands.
• You're comfortable in ambiguity. You can move forward without complete information.
• Bonus: experience designing for TV, large-screen, or lean-back environments.

What we're not looking for

• Designers who jump to Figma before understanding the problem.
• Designers who need a PM to hand them a spec to get started.
• Designers who treat design review as a presentation, not a conversation.
• Designers optimizing for output over outcome—screens shipped vs. experiences improved.
• Designers who design in isolation and hand off. Collaboration isn't a step in your process; it's how you work.

The opportunity

TV is underdesigned. The lean-back interaction model is underexplored. AI-native shopping is barely started. If you want to work on a genuinely novel design problem—not a variation of something that already exists—this is it.

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg

  
What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office! 

About the Role 

As Senior Manager, Marketing Strategy & Operations, you will work at the center of the Global Marketing team, supporting our priority markets - the US and Japan. 

You will partner closely with the VP of Global Consumer Marketing to set priorities, decide where to invest time and budget, and turn company goals into clear marketing plans across these regions. You will also run the day-to-day rhythm of the team, ensuring teams are aligned, goals are tracked, and key initiatives move forward on time. 

You will work across Marketing, Product, Distribution, Finance, Legal, and People to ensure plans are clear, progress is visible, and resources are focused on what matters most in each market. 

What You'll Do 

Marketing Strategy & Business Planning 

• Support the development of annual and quarterly marketing strategy across the US and Japan. 

• Translate company goals into clear marketing priorities, plans, and measurable targets. 

• Build business cases and financial models to guide budget allocation and investment trade-offs. 

• Conduct market, competitor, and performance analysis to inform planning decisions. 

• Support go-to-market strategy for new markets, major launches, and device-surface expansions. 

Leadership Enablement 

• Partner closely with the VP of Global Consumer Marketing on high-priority initiatives and decision-making. 

• Prepare structured briefs, analysis, and recommendations for leadership reviews. 

• Shape clear, concise executive narratives for internal and board-level forums. 

• Track progress against goals and surface risks, trade-offs, and opportunities early. 

Cross-Functional Execution & Stakeholder Alignment 

• Drive annual and quarterly planning cycles, including goal-setting and budget alignment. 

• Own the marketing operating calendar and lead weekly, monthly, and quarterly business reviews. 

• Ensure alignment across Marketing, Product, Distribution, Finance, Legal, and People. 

• Identify execution gaps, resolve cross-functional blockers, and keep initiatives on track. 

• Monitor performance through dashboards, linking spend to outcomes and growth metrics. 

Partnerships & External Engagement 

• Support strategic partnerships that advance marketing, distribution, and growth priorities. 

• Coordinate cross-functional inputs for partner launches and joint initiatives. 

• Prepare materials and analysis for external partner reviews. 

• Represent the marketing function in select cross-company or external working groups when required. 

What We're Looking For 

• Mandatory: 2-4 years of experience in management consulting (Tier-1 or equivalent). 

• 4-6 years of total professional experience across strategy, consulting, business operations, or marketing strategy; consumer tech preferred. 

• Strong analytical capability, including experience building financial models and evaluating ROI. 

• Ability to operate at both strategic and execution levels. 

• Excellent written and verbal communication skills, with the ability to deliver structured, clear, and persuasive recommendations. 

• Proven experience managing complex cross-functional initiatives. 

• High ownership mindset and comfort operating in fast-moving, ambiguous environments. 

• MBA or equivalent from a strong institution preferred. 

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About the Role 

We are looking for a Product Manager to define and evolve the shopping experience on Glance TV, working closely with engineering, ML, and design teams. 

This is a hands-on product role for someone who cares deeply about the future of AI-powered shopping on TV. You will shape how users discover products, engage with recommendations, and move from inspiration to intent on the biggest screen in the home. 

A core part of this role is working with AI directly — not as a user of AI tools, but as someone building an AI product. You will work on the prompts and AI behaviours that power the shopping experience, iterating on outputs, evaluating quality, and improving how the product responds to user intent. You do not need to be an AI expert. You do need to be curious enough to sit with it, figure it out, and apply what you learn. 

TV is becoming an intelligent, interactive, commerce-enabled surface. In this role, you will help define what AI-led shopping looks and feels like on that surface — with the speed, ownership, and resourcefulness of an early-stage product team. 

What You Will Own: 

• Shopping experience end-to-end: Own the agentic shopping experience across the Glance TV — discovery flows, product presentation, engagement loops, and the overall feel of shopping on TV.
• AI behaviour and output quality: Work hands-on with the prompts and AI systems that power the shopping experience. Iterate, evaluate, and improve — in close collaboration with ML engineers.
• Consumer experience quality: Ensure the experience feels native to TV: remote-first, visually premium, low-friction, performant, and genuinely useful to the user.
• Growth and funnel improvement: Use data to improve activation, engagement, interaction depth, and retention across the shopping experience.
• Cross-functional execution: Work day to day with engineering, ML, and design to move from idea to shipped product — unblocking execution and keeping momentum. 

Key Responsibilities: 

• Shape the agentic shopping experience on Glance TV — what it should feel like, how it should behave, and what makes it useful and delightful on a large screen.
• Work directly on the AI layer — iterating on prompts, evaluating output quality, and improving how the product surfaces recommendations, responds to user context, and adapts over time.
• Translate user needs, data signals, and AI capabilities into clear product requirements, UX flows, and prioritised roadmap decisions.
• Partner with ML engineers to understand model behaviour, identify gaps in output quality, and drive improvements through prompt iteration and product instrumentation.
• Work with design to craft shopping experiences that are visually premium, TV-native, and easy to navigate with a remote.
• Use data to identify where the experience breaks down, where engagement drops, and what changes will move the needle.
• Operate with high ownership in a fast-moving environment where the product, AI capabilities, and user understanding are all evolving quickly. 

What We Are Looking For 

Must-have 

• 3–5 years of product management experience on consumer products.
• Strong consumer product judgment — you have an instinct for what makes an experience feel good, and you can articulate why.
• Genuine curiosity about AI and how it works. You do not need an ML background, but you should be willing to get into the details — understand why a model behaves a certain way, experiment with prompts, and form a point of view on what better looks like.
• Hands-on experience iterating on AI outputs — whether through prompt experimentation, working closely with ML teams, or building basic AI demos or prototypes.
• Comfort making product decisions with incomplete information and changing inputs.
• Ability to use data to diagnose problems, prioritise improvements, and measure impact.
• Clear written and verbal communication — you can simplify complex problems for different audiences without losing precision. 

Good-to-have 

• Experience with shopping, commerce, content discovery, or recommendation-led products.
• Familiarity with TV, large-screen, or multi-surface product environments.
• Exposure to GenAI, LLMs, or agentic product experiences.
• Experience working in fast-paced environments where scrappy execution matters. 

This Role Is NOT 

• A role where problems come pre-defined and solutions waiting to be executed.
• A role for someone who needs full clarity before they can move.
• A documentation or process-heavy role. 

You Will Thrive in This Role If 

• You are comfortable not knowing — and good at figuring things out anyway.
• You find the AI layer of the product genuinely interesting, and you want to understand it well enough to shape it, not just describe it.
• You move between a user insight, an AI output quality problem, a UX detail, and a data signal without losing the thread.
• You have strong product taste but are pragmatic about constraints, timelines, and what can actually ship.
• You build trust with engineers and ML teams because you show up prepared, get into the details, and follow through.
• You believe the future of shopping is AI-led and you want to help define what that means on TV. 

We are looking for a Senior Product Manager to help scale Glance Agent across the connected TV ecosystem, working closely with product, engineering, design, data, business, and partner-facing teams. 

This is a hands-on product role for someone who understands how TV platforms work in practice: OEM operating systems, launcher surfaces, screensavers, operator environments, OTT apps, performance constraints, and platform-specific integration paths. 

You will translate partner opportunities and platform constraints into clear product requirements, integration approaches, launch plans, experiments, and growth levers. The role sits at the intersection of AI, consumer experience, TV platforms, partner integrations, and measurable business impact. 

TV is becoming an intelligent, interactive, commerce-enabled surface. In this role, you will help define how agentic AI experiences show up on the largest screen in the home, while building with the speed, ownership, and scrappiness of an early-stage product team. 

What You Will Own 

• Integration product workstreams: Own specific integration modules and partner workstreams across TV surfaces, from discovery and scoping through requirements, execution, QA, launch, and post-launch optimization. 
• Platform-informed product decisions: Understand what is possible on each TV ecosystem and convert technical constraints into practical product choices, user flows, partner asks, and phased rollout plans. 
• Consumer experience quality: Ensure every integration feels native to TV: remote-first, visually premium, low-friction, performant, privacy-aware, and useful for the user rather than simply technically functional. 
• Growth and funnel improvement: Use data to improve activation, engagement, interaction depth, retention, monetization readiness, and partner-specific success metrics across existing and new integrations. 
• Cross-functional execution: Work day to day with engineering, design, analytics, content, AI, commerce, monetization, business development, legal, privacy, and external partner teams to unblock execution and keep launches moving. 

Key Responsibilities 

• Define the integration strategy for Glance Agent across touchpoints on TV - ambient surfaces, launchers, in - app experiences, voice-led journeys, and more future AI-native TV interactions. 
• Lead integrations with OEMs, operating systems, operators, and OTT/publisher partners, covering integration models, technical requirements, UX flows, certification paths, launch plans, and success metrics. 
• Translate platform capabilities and constraints into product opportunities, partner asks, phased roadmaps, and reusable integration playbooks. 
• Evaluate integration approaches across native apps, SDKs, WebViews, platform services, launcher surfaces, screensaver/ambient modes, deep links, voice, QR/mobile handoff, and other TV-native flows. 
• Ensure integrations create elegant, useful, and intuitive TV experiences, with strong attention to TV-first UX, performance, visual quality, personalization, privacy, and monetization balance. 
• Drive growth across new and existing integrations by improving activation, engagement, retention, and revenue metrics. 
• Use data to identify funnel gaps, content/context signal opportunities, partner-specific growth levers, and product investments that can unlock greater distribution and engagement. 
• Partner closely with business development, engineering, design, ML, monetization, legal, privacy, and external platform teams to move from strategy to shipped outcomes. 
• Operate with high ownership in a fast-moving environment where the product, partner model, and AI capabilities are evolving quickly. 

What We Are Looking For 

Must-have experience 

• 6-9 years of product management experience, preferably across consumer platforms, connected devices, streaming, media, commerce, advertising, or platform integrations. 
• Hands-on experience working with the CTV, streaming, OTT, TV OEM, operator, or device ecosystem. You should understand how products get integrated, certified, launched, and scaled on platform surfaces. 
• Strong product execution skills: writing clear PRDs, shaping UX flows, managing trade-offs, driving cross-functional alignment, and taking products from ambiguity to launch. 
• Good technical fluency. You should be comfortable discussing APIs, SDKs, app architecture, deep links, telemetry, performance, privacy, and platform limitations with engineers and partner teams. 
• Strong consumer product judgment, especially for large-screen, lean-back, remote-first, or low-friction discovery experiences. 
• Ability to use data to diagnose product problems, prioritize improvements, and measure adoption, engagement, retention, and monetization-related outcomes. 
• Comfort working across time zones with global partners and distributed internal teams. 
• Clear written and verbal communication, with the ability to simplify complex product and technical discussions for senior stakeholders. 

Good-to-have experience 

• Experience building or integrating AI, GenAI, voice, recommendation, personalization, commerce, or agentic product experiences. 
• Experience with TV monetization, ad-supported entertainment, commerce surfaces, shoppable media, or content-led discovery. 
• Exposure to OEM, OS, operator, app store, certification, or publisher/platform partnership workflows. 
• Experience with cross-device flows such as QR journeys, mobile handoff, account linking, identity, consent, or app-to-app routing. 
• Experience in high-growth or startup-like environments where strong product judgment and scrappy execution matter as much as process. 

You Will Thrive in This Role If You 

• You are a builder who enjoys turning platform ambiguity into shippable product. 
• You can move between a partner requirement, a UX detail, an API limitation, a launch tracker, and a metrics dashboard without losing the bigger picture. 
• You have strong product taste but are pragmatic about constraints, timelines, and partner realities. 
• You build trust with engineers and partners because you are clear, prepared, responsive, and willing to get into the details. 
• You believe AI will show up across surfaces and moments of intent, not just inside chat boxes, and you want to help define what that means on TV. 

The Foresight & Behavioral Insights Unit exists to decode how consumers behave, think, and evolve — and to make that intelligence an unfair advantage for Glance. The team spans consumer understanding, market intelligence, experimentation, and Voice of Consumer programs. We work closely with Product, Growth, Marketing, and Data Science, and our output shows up in strategy decks, product roadmaps, and partner conversations alike. 

The Role  

We're looking for a Consumer Insights Lead who owns the quantitative layer of our consumer research practice — designing studies, building segmentation frameworks, and producing the behavioral intelligence that Growth and Leadership act on. This role sits at the heart of how we understand our users at scale, and it's expanding: we want someone who can go beyond quant when the question demands it. 

What You'll Do 

Research Design & Execution 

• Design and run quantitative consumer research studies — surveys, panel studies, in-app intercepts, and longitudinal tracking programs
• Own the Voice of Consumer program: structured feedback loops, sentiment tracking, and behavioral shift monitoring across our user base
• Develop survey instruments that meet the methodological bar for both speed and rigour 

Segmentation & Behavioral Intelligence 

• Build and maintain behavioural segmentation frameworks and cohort profiles in collaboration with Data Science
• Identify decision heuristics, usage patterns, and attitudinal clusters that explain how different user groups engage with the product
• Generate hypotheses for the data team based on qualitative and survey signals 

Stakeholder Enablement 

• Translate behavioral data into clear, actionable recommendations for Growth, Leadership, and Marketing
• Provide consumer context for growth initiatives, A/B test design, and conversion/drop-off investigations
• Brief BD and Account Management teams on user voice for OEM and partner conversations 

Research Operations 

• Manage relationships with external research panel vendors and participant recruitment pipelines
• Maintain quality standards across vendor-sourced studies and ensure data integrity 

What We're Looking For 

Required 

• 3–6 years of experience in consumer/market research with a strong quantitative focus
• Proven ability to design, field, and analyse quantitative consumer studies end-to-end (surveys, panels, behavioral data)
• Experience building or contributing to consumer segmentation and cohort-based analysis
• Comfort working cross-functionally — you've presented findings to Growth, Product, or Leadership and influenced decisions
• Experience managing external research vendors or panel providers
• Strong written communication: you can turn a complex dataset into a one-page brief that a non-researcher will act on 

Preferred 

• Experience adapting research for cross-cultural or international markets
• Global panel management experience: recruiting and managing multi-country participant panels
• Exposure to qualitative methods (IDIs, diary studies, focus groups) — you don't need to be a qual specialist, but you know when to use them 
• Background in consumer tech, mobile products, or digital platforms
• Familiarity with behavioral economics frameworks or decision heuristics research 

Why This Role 

• Your work lands in product roadmaps and marketing strategy — not slide archives
• You'll work closely with Data Science on user profiling and hypothesis generation, not in isolation from the data layer
• The unit is scaling: you're joining at a moment when the team and its charter are both expanding
• Consumer foresight is positioned as a strategic differentiator here, not a support function
• Glance operates at genuine scale — your insights cover a user base in the hundreds of millions 

Senior Product Analyst is an Individual Contributor role where you would be involved in identifying complex fuzzy problems, breaking them down into smaller parts and implementing creative, data-driven solutions. You would be responsible for defining, tracking and improving key metrics and communicating business trends to stakeholders.

What you’ll do:

● You will model data in order to create reporting infrastructure/dashboards for business process

management and data mining

● You will be closely working with the business/product teams to enable data driven decision making.

● You will execute quantitative analysis that translates data into actionable insights

● You will drive data driven decision making through the stakeholders

● You will influence new opportunities for business based on internal/ external data

● You will drive the team to adopt new and innovative ways of solving business problems

What you’ll need:

● Educational/ Work Qualifications

○ Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a

reputed institute or an MBA from a reputed institute

○ 3+ Years of experience in relevant role

● Required abilities / competencies:

○ Ability to breakdown any problem into components that can be collaboratively solved

○ Ability to negotiate on the scope of the problem through business understanding

○ Penchant for business and persistence to work with data to derive insights

○ Experience in analyzing very large, complex, multi-dimensional data sets

○ Ability to find innovative solutions to mitigate dependencies and risks for deliverables

○ Ability to independently plan and execute deliveries

○ Exceptional written and verbal communication skills

○ Ability to multitask and work on a diverse range of requirements

● Technical capabilities:

○ Expertise in SQL, Excel, other scripting languages (R, Python, etc.)

○ Good background in statistical modelling and experience with statistical tools such as R, Python, Spark

○ Working experience with BI tools(Power BI, Superset)

Lead – Design

Role Overview

You’ll shape the visual language of Glance AI across campaigns, platforms, and markets. As a core creative partner, you’ll translate ideas, trends, and strategy into high-impact visual storytelling—spanning social, digital experiences, and large-scale brand campaigns. With a strong pulse on pop culture and consumer behavior, especially in the US, your work will help define how Glance AI shows up visually in the world.

Key Responsibilities

• Visual Design & Craft: Lead design execution across integrated campaigns, with a strong focus on digital and social-first formats.
  • Campaign Development: Collaborate closely with copy, art direction, motion, and strategy teams to bring concept-driven, visually bold campaigns to life.
  • Trendspotting & Pop Culture: Stay ahead of cultural shifts across fashion, tech, internet culture, and American pop culture; translate trends into fresh, relevant visual expressions for the brand.
  • Social-First Design: Own visual systems and assets for social media—designing content that drives engagement, conversation, and cultural relevance.
  • Multi-Format Execution: Design across formats including static posts, carousels, stories, films, short-form video, presentations, and brand assets.
  • Global Lens: Contribute to campaigns for international markets, with a strong understanding of US audiences while maintaining global consistency.
  • AI & Innovation: Explore and experiment with AI-powered tools and new design technologies to create faster, smarter, and more innovative visual solutions.
  • Collaboration & Ownership: Partner with creative leads and cross-functional teams, thriving in a fast-paced start-up environment where ideas move quickly from concept to execution.

What We’re Looking For

• 5–8 years of experience in graphic design as a core craft, with exposure to agency and/or in-house brand teams.
  • A strong portfolio demonstrating concept-led visual thinking, campaign work, and social-first design.
  • Experience in fashion, lifestyle, or tech categories is a strong plus.
  • Proven ability to design for digital platforms and motion/video-led content.
  • Deep interest in American pop culture and the ability to design for US consumer sensibilities.
  • Experience creating for global or multi-market audiences is a bonus.
  • A collaborative, proactive designer who adapts quickly and takes ownership.
  • Comfort experimenting with or integrating AI tools into the design process.

Why Join Us?

• Be part of one of the most dynamic and creatively ambitious teams in the AI + content discovery space.
  • Play a key role in shaping the global visual identity of a fast-scaling brand.
  • Work at the intersection of design, technology, and culture.
  • Thrive in a start-up environment that values bold thinking, speed, and collaboration.

Role Overview

As Senior Design Manager, you’ll own and lead the evolution of Glance AI’s visual identity across campaigns, platforms, and global markets. You’ll be responsible not only for setting creative direction, but also for translating vision into clear plans, timelines, and outputs—ensuring the team delivers high-quality work, on time and at scale.

You’ll manage and inspire a multidisciplinary team of designers, raising the bar through hands-on design leadership, strong feedback, and best-in-class execution. With a deep understanding of digital-first design, interaction, and UI/UX principles—along with a sharp pulse on US pop culture and consumer behavior—you’ll help shape work that is culturally relevant, scalable, and future-forward.

Key Responsibilities

Creative & Strategic Leadership

• Design Direction:Define and evolve Glance AI’s visual and interaction design language across brand, social, digital experiences, and campaigns.
  • Strategic Ownership: Partner with senior stakeholders across marketing, product, and content to align design strategy with business and brand goals.
  • Hands-On Excellence: Lead by example—actively contributing design work that demonstrates exceptional taste, craft, and clarity, inspiring higher-quality output from junior designers.

Team & Delivery Management

• People Leadership:Manage, mentor, and grow a team of 6–10 designers, fostering a culture of high standards, collaboration, and creative confidence.
  • Workflow & Planning: Own resourcing, project planning, and timelines—breaking down briefs into clear phases, priorities, and deliverables.
  • Delivery Accountability: Ensure the team consistently delivers high-quality work on time, balancing speed with craft in a fast-moving environment.
  • Quality Bar: Provide strong creative feedback, guidance, and hands-on problem-solving to elevate execution across all levels of the team.

Digital, Interaction & UI/UX Focus

• Digital-First Design Leadership:Oversee design for social platforms, digital campaigns, product-adjacent experiences, and interactive content.
  • UI/UX & Interaction Thinking: Guide designers on layout, motion, hierarchy, usability, and interaction principles to ensure intuitive and engaging experiences.
  • Social Systems: Own and evolve scalable social design systems that drive engagement while maintaining brand consistency.

Culture, Innovation & Scale

• Trend & Culture Leadership:Stay ahead of shifts in fashion, tech, internet culture, and American pop culture—translating insights into proactive creative opportunities.
  • Global Lens: Lead design solutions for international markets, ensuring strong resonance with US audiences while maintaining global consistency.
  • AI & Innovation: Champion the use of AI-powered design tools and emerging technologies to improve creative exploration, speed, and productivity.
  • Cross-Functional Collaboration: Act as a trusted creative partner to leadership and cross-functional teams in a fast-paced start-up environment.

What We’re Looking For

• 10+ years of experiencein graphic, digital, or visual design, with 3–5 years in a senior leadership or people-management role.
  • Proven experience managing and delivering work through teams of 6–10 designers.
  • A strong portfolio showcasing digital-first, interaction-led, and brand-driven work, including campaigns and systems.
  • Demonstrated ability to set direction, plan timelines, and drive teams to deliver on schedule.
  • Experience in fashion, lifestyle, media, or tech categories preferred.
  • Strong understanding of UI/UX and interaction design principles, even if not a pure product role.
  • Deep connection to US consumer sensibilities and contemporary pop culture.
  • A confident leader who inspires through both vision and personal design excellence.
  • Comfort integrating and advocating for AI and emerging tools within creative workflows.

Why Join Us?

• Lead and shape one of the most ambitious design teams in the AI + content discovery space.
  • Play a defining role in building and scaling a globally recognized visual and digital identity.
  • Work at the intersection of design, technology, culture, and leadership.
  • Thrive in a start-up environment that values ownership, clarity, high standards, and bold creative thinking.

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What You’ll Do

As a Data Scientist – Recommendation Systems, you will own and drive high-impact ML systems powering personalization across Glance products.

• 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.

What We’re Looking For

Core Expectations

• 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.

Experience & Skills

• 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.

Qualifications

• 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.

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems.

You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Classical ML & Recommendation Systems

• Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
• Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
• Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.

Agentic Systems & Next-Gen AI

• Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.

Job Summary

We're looking for a Senior Backend Software Development Engineer (SDE 3) with deep technical expertise in building and operating production systems at scale. You'll own entire components/services within microservices and data pipelines that handle ~200K queries per second and process petabytes of data daily. This role demands hands-on coding excellence, strong Low-Level Design (LLD) skills, and complete ownership—from component architecture through infrastructure management to cost optimization. You'll architect solutions, lead technical decisions, and drive operational excellence while shipping code daily.

Key Responsibilities:

• Component Ownership: Own one or more critical components/services end-to-end—responsible for architecture, development, deployment, operations, and evolution
• Technical Ownership: Own the entire lifecycle of your components—design, implementation, testing, deployment, monitoring, incident response, and continuous improvement
• Low-Level Design: Create detailed technical designs (LLD) for complex systems—defining data models, APIs, concurrency patterns, and failure modes
• Hands-on Development: Write production-grade code daily—this is not a purely architectural role; you'll be deep in the codebase
• Infrastructure Ownership: Own and operate the infrastructure your components run on—capacity planning, scaling, reliability improvements
• Cost Management: Drive cost optimization for owned components—analyze spending, identify waste, implement efficient architectures
• Scale & Performance: Build and optimize systems handling 200K+ QPS and petabyte-scale data processing
• Observability: Design and implement comprehensive monitoring, alerting, and debugging capabilities for owned components
• Incident Leadership: Lead incident response for your components and related services, conduct post-mortems, drive systemic improvements
• On-Call Excellence: Participate in on-call rotations and ensure your components are operationally sound (runbooks, alerts, dashboards)
• Technical Roadmap: Define and drive the technical roadmap for your owned components—balancing feature development, tech debt, and operational improvements
• Technical Mentorship: Guide junior and mid-level engineers on system design, code quality, and production best practices
• Cross-functional Collaboration: Work with product, infra, and other eng teams to define requirements and deliver solutions
• Agile Execution: Break down complex projects, deliver incrementally in daily cadence, iterate based on feedback

Required Qualifications:

• Experience: 4-5+ years building and operating backend systems in production environments at scale
• Education: B.E./B.Tech in Computer Science or equivalent practical experience
• Component Ownership: Proven track record of owning significant components or services from inception to maturity—demonstrable end-to-end ownership
• Low-Level Design (LLD): Proven ability to create detailed technical designs—data structures, algorithms, API contracts, concurrency models, failure handling
• Programming Mastery: Expert-level proficiency in at least one modern language (Go, Python, Java, etc.) with track record of writing maintainable, performant production code
• Databases: Deep hands-on experience with SQL and NoSQL databases—schema design, query optimization, indexing strategies, operational troubleshooting
• Microservices at Scale: Extensive experience building, deploying, and operating microservices handling high throughput and large data volumes
• Data Pipelines: Strong background designing and running data processing pipelines at scale (batch and/or streaming)
• Observability: Expert understanding of metrics, logging, tracing, and alerting—you know how to make systems debuggable
• Production Operations: Significant experience with incident response, on-call rotations, debugging live issues under pressure
• Infrastructure Knowledge: Hands-on experience managing infrastructure, understanding resource utilization, capacity planning
• Cost Consciousness: Experience analyzing and optimizing infrastructure costs at scale
• Distributed Systems: Strong fundamentals in distributed systems, concurrency, consistency models, and failure scenarios
• Accountability: Track record of taking full ownership—from design through deployment to ongoing operations and improvements

Preferred Qualifications:

• Experience with cloud platforms (GCP, AWS, or Azure) including cost management tools
• Kubernetes and container orchestration at scale
• Infrastructure as Code (Terraform, Pulumi, etc.)
• Streaming data systems (Kafka, Pub/Sub, Kinesis, Flink, etc.)
• SRE principles and reliability engineering practices
• Experience with FinOps or infrastructure cost optimization
• Performance profiling and optimization (CPU, memory, I/O)
• Technical leadership experience including mentorship of teams and driving multi-component initiatives
• Open source contributions or recognized technical writing

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI systems.

You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Classical ML & Recommendation Systems

• Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
• Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
• Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.

Agentic Systems & Next-Gen AI

• Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding, content classification, and user preference modeling.
• Design intelligent agents that can automate repetitive decision-making tasks—e.g., candidate generation tuning, feature selection, or context-aware content curation.
• Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.

Cross-functional impact

• Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance’s consumer experiences.
• Contribute to Glance’s ML/AI thought leadership—blogs, case studies, internal tech talks, and industry conferences.
• Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
• Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.

The experience we need

We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.

You should have experience with:

• Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
• Classical ML and deep learning techniques across NLP, sequence modeling, RL, clustering, and time series.
• Experience in deploying ML workflows/models in production system
• Big data processing (Spark, distributed data systems) and cloud computing.
• Designing end-to-end ML solutions—from prototype to production.
• Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).

We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.

Qualifications

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
• 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
• Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
• Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
• Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
• Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Comfortable working in cross-functional teams.
• Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
• Excellent communication skills with the ability to simplify complex technical concepts.

What will you be doing?  

• Responsible for design, architecture, and delivery of a feature or component/product with the highest quality.  
• Driving innovations in the platform constantly & remaining ahead of the curve  
• Collaborates effectively with cross functional teams to deliver end-to-end products & features  
• Collaborates with non-tech stakeholders without technology barrier to align strategies with solutions
• Demonstrates ability to multi-task and re-prioritize responsibilities based on changing requirements  
• Provide functional, design, and code reviews in related areas of expertise with-in team and cross-team  
• Mentors/coaches engineers to facilitate their development and provide technical leadership to them
• Rises above detail to see broader issues and implications for whole product/team
• Collaborate with managers and enable them to size and estimate solutions better

What do we expect from you?  

• BS/MS in Computer Science or equivalent from a premier institute 
• 7-10 years of strong design/development experience in building massively large scale distributed internet systems and products 
• Extensive experience in developing and maintaining large scale systems on Cloud 
• Knowledge of architectural styles and design patterns. Deep understanding of Microservices architecture, Cloud computing, Big Data Technology and NoSQL database. 
• Excellent Java programming skills and expertise in multi-threading and performance oriented programming. 
• Excellent data structures & algorithms skills 
• Experience and knowledge of open source software, frameworks and broader cutting edge technologies around server side development in Java and Big Data 
• Superior organization, communication, interpersonal and leadership skills 
• Excellent grasp of the system, with the ability to effectively communicate with stakeholders and provide clear, insightful answers regarding the current system
• Must be a proven performer and team player that enjoy challenging assignments in a high-energy, fast growing and high velocity workplace 
• Must be a self-starter who can work well with minimal guidance and in fluid environment 
• Must be excited by challenges surrounding the development of massively scalable & distributed system 
• Agility and ability to adapt quickly to changing requirements and scope and priorities 
• Adapt to Gen-AI usage in problem solving and coding 

Nice to have skills  

• Experience of building products that are powered by data & insights 
• Experience in data sciences & machine learning 
• Experience of working on massively large scale data
• Experience in Google Cloud Platform
• Experience in navigating and contributing to Open Source Software (OSS)
• Experience in data security

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates disruptive digital platforms including Glance, Roposo, and Nostra. Glance’s ’smart lock screen’ inspires consumers to make the most of every moment by surfacing relevant experiences without the need for searching and downloading apps. Glance Lock Screen is currently available on over 450 million smartphones worldwide. Roposo is a LIVE platform that is revolutionizing live experiences, through a unique, immersive, creator-led approach. Nostra is the largest gaming platform in India and Southeast Asia, offering gamers engaging ways to discover, play, watch, learn and compete.   
 
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information visit glance.com, nostra.gg, and roposo.com

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!

What you will be doing?

Glance is looking for a Machine Learning Engineer.

As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure.

Day-to-day activities include:

• architecting and implementing end-to-end solutions for accelerating experimentation and model building,

• creation of microservices and APIs for serving ML models and ML services,

• designing and implementing potential products and proof-of-concepts,

• working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products,

• exploring and onboarding new platforms, technologies and algorithms,

• managing project priorities, deadlines and deliverables. We are looking for candidates with an enthusiasm for tackling audacious challenges, the ability to take ownership of end-to-end solutions, and a passion for elegance in deep problem solving. Preferred Qualifications:

• Five+ years' experience working in a ML Engineering role with proven track record of delivering high-impact ML solutions.

• Bachelor’s degree, Master’s or PhD in computer science, Mathematics, Statistics, or other analytical fields

• Demonstrated ability to own end-to-end project delivery while maintaining transparent communication

• Hands-on experience and strong theoretical understanding of Recommender Systems.

• Experience working with Python, Golang, Spark or other open-source software with data science libraries

• Strong experience in advanced math and statistics

• Excellence in technical documentation and project leadership, with proven ability to drive results independently with cross-functional teams

• Experience with being actively engaged in data science or other research-oriented position.

Job Title: Motion Graphics Designer

Location: Bengaluru
Department: Marketing – Creative Motion Design
Employment Type: Full-time

About the Role

We are looking for an experienced Motion Graphics Designer who can independently handle projects end-to-end—from understanding the brief to final delivery. You should be strong in design, great at storytelling through motion, and excited to keep learning and exploring new tools, trends, and AI-powered workflows.

Key Responsibilities

• Concept & Storyboarding
• Understand briefs and convert them into clear visual concepts and storyboards.
• Plan and design strong frames that tell a compelling visual story.
• Design & Animation
• Create high-quality motion graphics for marketing campaigns, explainer videos, product videos, social media, app UI & brand films.
• Ensure all visuals follow brand guidelines and maintain a high design standard.
• Work on both 2D and 3D motion graphics (3D preferred).
• End-to-End Project Ownership
• Own the full design process: ideation, storyboard, design, animation, and final output.
• Coordinate with marketing, product, and content teams to understand goals and deliver on time.
• Manage multiple projects and deadlines independently.
• Collaboration & Communication
• Work closely with the creative, marketing, and product teams to build cohesive campaigns.
• Present concepts, style frames, and motion directions clearly, with logical reasoning.
• Quality, Innovation & AI
• Stay updated on design, motion, UI/UX, AI tools, and technology trends.
• Use AI tools where relevant (for ideation, references, asset generation, optimisation, etc.) to speed up and enhance the creative process.
• Experiment with new styles, techniques, and tools (especially in 3D and interaction).
• Maintain high attention to detail and consistency across all assets.

Required Skills & Experience

• Experience: 5+ years in Motion Graphics / Motion Design.

Tools & Software

• Strong expertise in Adobe After Effects and Adobe Premiere Pro.
• Solid skills in Adobe Photoshop and Adobe Illustrator.
• Experience working with Figma.
• Knowledge of any 3D software (preference: Blender).
• Familiarity with AI tools used in design and content creation (for example, AI image/video tools, AI assistants for workflows, etc.).

Design Skills

• Strong understanding of composition, colour, typography, and visual hierarchy.
• Ability to think through and design frame-by-frame storytelling.
• Ability to translate ideas, scripts, and briefs into clear, impactful visuals.

Portfolio

• A strong portfolio/showreel showcasing motion graphics across different formats (explainer videos, product videos, brand films, social content, etc.).
• Work samples that demonstrate independent project ownership are a big plus.

About the Role

As a GPU Systems Engineer, you’ll lead design and optimization efforts across our GPU inference stack.
You will architect the libraries and runtime systems that enable Stable Diffusion, multimodal transformers, and emerging video generation models to run efficiently at scale.

You’ll guide cross-functional teams, influence hardware selection, and set the technical vision for GPU optimization practices across the company.

Key Responsibilities

• Architect high-performance inference runtimes, kernel dispatchers, and memory planners for large diffusion and transformer workloads.
• Lead investigations into cross-GPU performance bottlenecks, communication overheads, and scheduling inefficiencies.
• Drive multi-GPU parallelism strategies — model, pipeline, and tensor parallelization.
• Establish company-wide GPU optimization standards, tooling, and SLIs.
• Collaborate with research to design scalable implementations of novel architectures.
• Mentor engineers in profiling, tuning, and low-level optimization.
• Partner with hardware vendors and infra teams to maximize cluster utilization.

Required Qualifications

• 5+ years in high-performance computing, GPU runtime systems, or ML infrastructure.
• Proven expertise in CUDA / Triton / C++, with deep understanding of GPU scheduling, occupancy, register usage, and tensor cores.
• Experience building and maintaining distributed inference or training systems.
• Ability to design abstractions balancing flexibility and performance.
• Strong knowledge of NCCL, NVLink, PCIe, and interconnects.
• Familiar with profiling automation and performance dashboards.
• Excellent technical leadership and mentoring capabilities.

Preferred Qualifications

• Background in compiler-aided optimization (TVM, XLA, MLIR, Triton).
• Experience tuning Stable Diffusion or transformer inference pipelines.
• Exposure to heterogeneous compute backends (AMD ROCm, TPU, ASICs).
• Experience working with hardware–software co-design initiatives.
• Open-source or research contributions in GPU optimization

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience.   
  
Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions.   
  
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com.    

  
What should you know about joining Glance?  
 

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   
  

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   
  

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!  

Role overview:

You will drive the vision and strategy for the Recommendation Systems team at Glance and will play a transformational role in driving the larger AI-first aspirations of the company. Recommendations team at Glance plays key role for all Ad revenue – programmatic and direct – on all Glance user experiences. Revenue has been growing steadily, and we’re well placed to make the trajectory steeper. Expertise in designing, building, and operating large-scale recommendation systems is a must.

You will have knowledge of current AI and machine learning capabilities and advances in the field. You should also be interested in the academics of data science but be more focused on practical application within recommendation and personalization technology. You will be able to clearly articulate the purpose of data science solutions to key stakeholders and customers, and then translate those into action for the business. The solutions you and your teams provide will encompass such things as product innovations, create efficiencies and automation across the business, improve data architecture and system architecture, mitigate business risks, and create process improvements. 

We are searching for an individual who thrives on describing a vision and inspiring a team to achieve it. We need a leader who will remove obstacles, break barriers, empower, communicate, and engage. Someone who truly harnesses advanced analytic data modelling systems to drive positive outcomes for our customers. From the defining of a strategy to the execution of it, you will also develop, collect, and report the objective metrics required to assure it. You will own driving employee engagement and increasing productivity across the Data Science team and into Engineering.

The impact you’ll make:

• Define the overall vision for our recommendation applications, focused on up-levelling internal use of machine learning
• Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments
• Manage, develop, coach, and mentor a team of machine learning engineers and big data specialists
• Partner with our business and product teams to help predict system behaviour, establish metrics, identify bugs, and improve debugging skills
• Ensure data quality and integrity within our products as well as our teams
• Partner with our client-facing teams and customers to enhance products and develop client solutions applying critical thinking skills to remove extraneous inputs
• Conceive, plan, and prioritize data projects
• Lead data mining and collection procedures, especially focused on unstructured and siloed data sets
• Experiment with new models and techniques.
• Drive the implementation of models into Production through various Engineering teams
• Create a positive culture to maximize productivity and minimize attrition

The experience you'll need:

• PhD or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience.
• 12+ years of ML related industry experience working on large-scale recommendation systems or personalization. With 5+ years in a leadership role.
• You would bring deep expertise in the applied algorithms, models, and techniques used to design, scale, and optimize large-scale recommendation systems.
• You should be comfortable with software programming and statistical platforms such as Tensorflow, PyTorch, scikit-learn, etc. etc.
• You should be comfortable with using one or more distributed training technologies such as Apache spark, RAPIDS, dask, etc. along with MLOps stack such as kubeflow, mlflow, or their cloud counterparts
• Comfortable collaborating with cross-functional teams.
• Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
• Possess a high degree of curiosity and ability to rapidly learn new subjects

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience.   
  
Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions.   
  
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com.   

What should you know about joining Glance?  

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!  

Role overview:

You will drive the vision and strategy for the Commerce Intelligence at Glance  such as Multi Modal Search, Recommendation Systems, Brand and Price Affinity Modeling and will play a transformational role in driving the larger AI-first aspirations of the company. The Commerce Intelligence team at Glance will play a critical role in driving commerce across the platform.

You will have knowledge of current AI and machine learning capabilities and advances in the field. You should also be interested in the academics of data science but be more focused on practical application within recommendation and personalization technology. You will be able to clearly articulate the purpose of data science solutions to key stakeholders and customers, and then translate those into action for the business. The solutions you and your teams provide will encompass such things as product innovations, create efficiencies and automation across the business, improve data architecture and system architecture, mitigate business risks, and create process improvements. 

We are searching for an individual who thrives on describing a vision and inspiring a team to achieve it. We need a leader who will remove obstacles, break barriers, empower, communicate, and engage. Someone who truly harnesses advanced analytic data modelling systems to drive positive outcomes for our customers. From the defining of a strategy to the execution of it, you will also develop, collect, and report the objective metrics required to assure it. You will own driving employee engagement and increasing productivity across the Data Science team and into Engineering.

The impact you’ll make:

• Define the overall vision for our commerce intelligence, focused on up-levelling internal use of machine learning.
• Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments.
• Manage, develop, coach, and mentor a team of machine learning engineers and big data specialists.
• Partner with our business and product teams to help predict system behaviour, establish metrics, identify bugs, and improve debugging skills.
• Ensure data quality and integrity within our products as well as our teams.
• Partner with our client-facing teams and customers to enhance products and develop client solutions applying critical thinking skills to remove extraneous inputs.
• Conceive, plan, and prioritize data projects.
• Lead data mining and collection procedures, especially focused on unstructured and siloed data sets.
• Experiment with new models and techniques.
• Drive the implementation of models into Production through various Engineering teams
• Create a positive culture to maximize productivity and minimize attrition

The experience you'll need:

• PhD or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or bachelor's with additional experience.

• 10+ years of ML related industry experience working on large-scale recommendation systems or personalization. With 3+ years in a leadership role.

• You would bring deep expertise in the applied algorithms, models, and techniques used to design, scale, and optimize large-scale recommendation systems.
• You should be comfortable with software programming and statistical platforms such as Tensorflow, PyTorch, scikit-learn, etc. etc.
• You should be comfortable with using one or more distributed training technologies such as Apache spark, RAPIDS, dask, etc. along with MLOps stack such as kubeflow, mlflow, or their cloud counterparts
• Comfortable collaborating with cross-functional teams.
• Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
• Possess a high degree of curiosity and ability to rapidly learn new subjects
• Experience in e-commerce is plus.

Glance - An InMobi Group Company    

Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience.   
  
Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions.   
  
Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com.    

  
What should you know about joining Glance?  
 

At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups.   
  

Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences.   
  

While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office!  

We're building one of the most ambitious platforms in consumer AI — a multi-surface commerce ecosystem spanning lock-screen, mobile, and TV, powered by large-scale GenAI, multimodal inference, and real-time distributed systems.

If you love designing systems that millions interact with daily — often without realizing the engineering magic underneath — this is your playground.

WHAT YOU WILL DO

Architect & Build for Massive Scale

- Own end-to-end design of core platform components at 100K+ QPS, serving tens of millions of users

- Drive innovations across distributed compute, storage, consistency, and failure handling

- Build infrastructure powering:

→ GPU-efficient multimodal inference (image, video, voice)

→ On-device AI + edge personalization

→ Real-time cross-device continuity (Android ↔ TV ↔ Web)

→ Multi-category shopping catalog integrated with GenAI

→ Commerce + ads intelligence optimizing in milliseconds

Lead with Technical Depth

- Guide teams on architecture, code quality, and operational excellence

- Conduct design and code reviews with a high bar for clarity and maintainability

- Mentor engineers and elevate engineering culture

Operate Like an Owner

- Drive features from concept → design → production → on-call → iteration

- Collaborate across product, design, ads, AI/ML, and commerce — no silos

- Balance speed and quality in a high-velocity environment

Think Beyond the Code

- Translate complex engineering into simple narratives for stakeholders

- Anticipate system-wide consequences of design choices

- Shape technical roadmap with business context

WHAT WE EXPECT

Core Technical Expertise (7–10+ years)

- Distributed systems: partitioning, replication, consistency, failure modes

- Cloud platforms (GCP/AWS), Kubernetes, containerization, CI/CD

- Databases: SQL + NoSQL trade-offs, indexing, query optimization

- Strong in Java/Kotlin, Go, or Python

- High-performance, multi threaded, low-latency systems

Data & Infrastructure

- Large-scale pipelines: Kafka, Spark, Flink

- Cost-efficient cloud design & operations

- Observability mindset: metrics, tracing, alerting

- Comfortable with OSS, reading source, contributing when needed

Ways of Working

- Writes clear RFCs/design docs that ship

- Leads through ambiguity in high-stakes environments

- Adapts to shifting priorities without losing quality

- Uses GenAI tools to accelerate problem-solving

WHY JOIN US

- Real scale: AI workflows across GPU clouds + Android + TV

- Cutting-edge: GenAI, multimodal inference, on-device ML

- Full stack commerce: inspiration → visualization → purchase

- Impact: products reaching millions daily

- Ownership: architect and ship, not just maintain