---
title: 'Staff Engineer at LG Ad Solutions'
canonical: 'https://feeny.ai/job/staff-engineer-lg-ad-solutions-bengaluru-v19mseh41h3f'
type: 'job'
last_seen: '2026-11-10'
---

# Staff Engineer at LG Ad Solutions

- **Company:** LG Ad Solutions
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-27
- **Last confirmed live:** 2026-11-10
- **Apply:** https://jobs.ashbyhq.com/lgads/0ed19073-44fd-4106-b62d-53b630a289eb

## Job description

## About LG Ad Solutions

LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We deliver innovative advertising solutions that integrate seamlessly with today’s evolving digital media landscape, powering targeted advertising, measurement, and data-driven decision-making across our global CTV ecosystem. The Opportunity We are looking for a Staff Software Engineer to join our engineering team in Bangalore, India. In this role, you will drive the architecture, design, and development of large-scale ad serving, measurement, targeting, and data engineering systems that power LG Ad Solutions’ global advertising platform. As a senior technical leader, you will own critical technical initiatives spanning multiple engineering teams, establish architectural direction, and drive the delivery of highly scalable, reliable, and cost-efficient distributed systems. You will work closely with engineering, product, and operations teams across geographies, providing technical leadership and collaborating with teams in the US and India to deliver high-impact solutions. This is a hands-on technical leadership role for an engineer who combines deep software engineering expertise with strong architectural judgment, a track record of solving complex engineering problems, and the ability to influence technical decisions across teams. You will also mentor senior engineers, establish engineering best practices, and help shape the long-term technical roadmap of LG Ad Solutions.

## Responsibilities

- Technical Leadership and Architecture: Define and drive the architecture of large-scale, distributed software systems, making critical technical decisions around scalability, reliability, performance, and maintainability.
- System Design and Scalability: Design and evolve high-throughput ad serving, targeting, measurement, and data processing systems capable of handling large data volumes and demanding latency requirements.
- End-to-End Technical Ownership: Lead complex, cross-team engineering initiatives from problem definition and requirements gathering through architecture, implementation, deployment, monitoring, and continuous improvement.
- Distributed Systems and Data Engineering: Drive the design and optimization of big data applications and distributed computing platforms, improving processing efficiency, resource utilization, and infrastructure cost.
- Technical Strategy and Roadmap: Partner with engineering leadership and product teams to define technical strategy, identify architectural gaps, establish long-term roadmaps, and align engineering investments with business priorities.
- Engineering Excellence: Establish and champion best practices for software design, code quality, testing, observability, operational readiness, and production reliability.
- Cross-Team Influence: Collaborate across engineering teams and organizational boundaries to resolve complex technical challenges, align architectural decisions, and drive consistent engineering standards.
- Mentorship and Technical Development: Mentor senior and junior engineers, guide design and code reviews, and help develop technical leadership within the organization.
- Performance and Reliability: Identify and resolve system bottlenecks, improve service-level objectives, and lead initiatives that enhance throughput, latency, fault tolerance, and overall system resilience.
- Platform Integrations: Lead the design and implementation of integrations with internal and external platforms to expand advertising targeting, measurement, and data capabilities.
- Global Collaboration: Work closely with engineering teams in the US and India to drive successful project execution, share technical knowledge, and ensure alignment across distributed teams.

## Requirements

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 10+ years of professional software engineering experience building and operating large-scale, production-grade software systems.
- Demonstrated experience leading the architecture and delivery of complex, distributed systems with significant scale, throughput, reliability, or data processing requirements.
- Strong proficiency in one or more programming languages, such as Go, Scala, Python, Java, or C++, along with a deep understanding of computer science fundamentals.
- Extensive experience with distributed systems, concurrency, data structures, algorithms, system design, and performance optimization.
- Hands-on experience with big data technologies such as Apache Spark and Databricks, and data storage and caching technologies such as MySQL, Redis, or ElastiCache.
- Experience designing, deploying, and operating cloud-native systems using AWS, Kubernetes, and related infrastructure technologies.
- Ability to navigate, understand, and refactor large, complex codebases while maintaining high standards of reliability and maintainability.
- Strong understanding of system observability, production troubleshooting, fault tolerance, capacity planning, and cost optimization.
- Proven ability to make sound architectural trade-offs, evaluate alternative approaches, and influence technical decisions across multiple teams.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse stakeholders.
- Demonstrated ability to mentor engineers, guide technical discussions, and raise engineering standards across teams.
- Experience collaborating with globally distributed engineering teams and driving projects across geographical boundaries.

## Preferred Qualifications

- Experience building and scaling ad tech platforms, including ad serving, audience targeting, advertising measurement, or real-time bidding systems.
- Proven track record of leading multi-team technical initiatives and delivering significant business and engineering outcomes.
- Experience designing high-throughput, low-latency services and large-scale data processing pipelines.
- Experience with cloud cost optimization, distributed resource management, and large-scale infrastructure efficiency.
- Experience defining architecture standards, technical roadmaps, and engineering practices across teams.
- Demonstrated ability to influence without direct authority and drive alignment across engineering, product, and operations.
- Experience mentoring senior engineers and developing technical leaders.
- Experience working in a global engineering organization with teams across India and the US.

## Equal Employment Opportunity

LG Ad Solutions provides equal employment opportunities to all team members and applicants and prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by company policies or applicable federal, state, or local laws. We are committed to ensuring that our hiring process is accessible. If you need a reasonable accommodation for any part of the application process because of a medical condition or disability, please email careers@lgads.tv and let us know the nature of your request.

## About LG Ad Solutions

## Company Overview
- **One-liner**: LG Ad Solutions is an advanced advertising platform that powers connected TV and cross-screen campaigns, helping brands engage audiences through deterministic Smart TV data and AI.
- **Entity Type**: Private (total funding: $5.9M from venture rounds; last round 2017)
- **Headquarters**: Mountain View, California, United States
- **Founded**: 2013
- **Founders**: Not publicly available (leadership team includes CEO Michael Hudes, but founder info is not disclosed)

## Core Business
- **Industry**: Advertising Services / Connected TV (CTV) / Cross-screen Advertising
- **Target Customers**: B2B – brands, advertisers, agencies, and media buyers
- **Mission/Purpose**: “Making Connected TV Ads Smarter” – helping advertisers maximize return on ad spend by delivering unduplicated reach across a fragmented TV landscape.

## Products & Services
- **LG Ad Solutions Platform**: An AI-powered advertising platform that offers one-stop planning, activation, and measurement across connected TVs, digital video, and social media. Includes:
  - **Data**: Deterministic automatic content recognition (ACR) data from LG Smart TVs, combined with first-party and partner data for precise audience targeting.
  - **Media**: Access to premium LG CTV inventory (tens of millions of smart TVs globally) and cross-device reach.
  - **Outcomes**: KPI-driven measurement and business outcome reporting to demonstrate ad effectiveness.

## Market Standing
- **Valuation**: Not publicly available
- **Key Financial Metrics**: Estimated annual revenue of $10M (LinkedIn estimate; not officially confirmed). Total funding: $5.9M (Convertible Note $300K in 2014, Venture Round $5.6M in 2016).
- **Notable Investors/Partners**: LG (parent company ecosystem); partnership data from Samsung Ads, Roku, VideoAmp, MediaMint, etc. (talent sources indicate industry relationships).
- **Growth Signals**:
  - Headcount growth: +10.6% YoY (388 employees, up 46 people)
  - 31 active job postings; job postings increased 210% year-over-year
  - Operating in 10 countries (U.S., India, U.K., Canada, Australia, Brazil, South Korea, etc.)
  - Recent hires from Amazon, Roku, Samsung Ads, VideoAmp, Samba TV – strong talent inflow from CTV competitors.

## Competitive Advantages
- **Proprietary Data**: Deterministic ACR data from millions of LG Smart TVs provides a unique, privacy-compliant audience signal that cannot be replicated.
- **Exclusive CTV Inventory**: Direct access to LG’s smart TV inventory gives advertisers unduplicated reach and a premium ad environment.
- **Cross-Screen Unity**: One platform for planning, activation, and measurement across CTV, digital, and social – reducing fragmentation for advertisers.
- **Scale & Global Footprint**: Over 200 million LG Smart TVs worldwide (stated on website), with offices in major markets.

## Strategic Focus
- **AI & Data Platform**: Invest in Video AI and machine learning to improve audience targeting, in-flight optimization, and attribution.
- **Multi-Channel Expansion**: Extend capabilities beyond CTV into digital video and social to become a comprehensive cross-screen hub.
- **Advertiser Tools**: Enhance self-service features, outcome-based buying, and measurement to compete with larger ad platforms.

## Why Work Here
- **Culture & Values**: Emphasizes “We Are One Team,” transparency, accountability, innovation, and a bias for action. Reviews (3.0/5.0 on LinkedIn) cite average culture (2.7) and career development (2.8), but compensation is rated 3.6.
- **Location & Flexibility**: Headquarters in Mountain View, CA; offices in New York, London, Sydney, São Paulo, and others. Hybrid/remote policy not clearly stated.
- **Engineering & Data Focus**: Deep roles for data engineers, ML engineers, platform engineers, and data analytics leads. The stack involves big data, ACR, and AI.
- **Industry Impact**: Work at the forefront of the CTV revolution, competing/partnering with industry giants (Roku, Samsung Ads, Amazon). Opportunity to shape the future of TV advertising.

## Sources
1. [lgads.tv](https://lgads.tv/)
2. [lgads.tv/careers](https://lgads.tv/careers/)
3. [lgads.tv/company](https://lgads.tv/company/)
4. [LinkedIn Company Profile](https://www.linkedin.com/company/lgads)

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