---
title: 'Senior Software Engineer, Measurement & Reporting at LG Ad Solutions'
canonical: 'https://feeny.ai/job/senior-software-engineer-measurement-reporting-lg-ad-solutions-new-york-c37cctjt32sv'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Software Engineer, Measurement & Reporting at LG Ad Solutions

- **Company:** LG Ad Solutions
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-16
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/lgads/d694f39e-0068-4162-9a9f-7f4468f9bdae

## Job description

WE REQUIRE PEOPLE TO BE ON-SITE, 4 DAYS/WEEK AT OUR MANHATTAN OR DENVER OFFICE AND ARE UNABLE TO OFFER RELOCATION SUPPORT.

## LG AD SOLUTIONS

LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. We pride ourselves on delivering state-of-the-art advertising solutions that integrate seamlessly with today's ever-evolving digital media landscape.

## THE OPPORTUNITY

We are seeking a talented and motivated Senior Software Engineer I to join our Measurement and Reporting team. We enable our clients to visualize their impact across different verticals and empower our sales and operations teams to identify opportunities and address shortcomings during campaign execution.

You will primarily work on designing, building, and maintaining large-scale data platforms and pipelines that power our reporting, analytics, and AI-driven solutions. In addition, you will contribute to the development of agentic AI applications that help automate workflows, enhance operational efficiency, and unlock new capabilities across the organization. You may also occasionally work on frontend applications to deliver end-to-end solutions and improve user experiences.

If you're passionate about building scalable data systems, leveraging AI technologies, and solving complex engineering challenges at scale in the AdTech space, we want to hear from you!

## RESPONSIBILITIES

- Design, develop, deploy, and maintain scalable data pipelines, ETL/ELT workflows, and data processing systems supporting reporting, analytics, and machine learning applications.
- Build and optimize batch and real-time data processing solutions using modern data engineering frameworks and cloud-native technologies.
- Design and maintain data models, data warehouses, and data lakes to ensure high-quality, reliable, and accessible data.
- Develop and maintain integrations between internal and external systems, ensuring efficient data movement and consistency across platforms.
- Build and enhance agentic AI applications, leveraging LLMs, AI agents, orchestration frameworks, and automation workflows to solve business problems.
- Collaborate with product, analytics, operations, and engineering teams to identify opportunities for AI-driven automation and intelligent decision-making.
- Contribute to backend services and APIs that support data products, reporting applications, and AI-powered solutions.
- Occasionally develop frontend features and dashboards to support internal and customer-facing applications.
- Monitor, troubleshoot, and optimize data pipelines and AI systems for performance, reliability, scalability, and cost efficiency.
- Implement data governance, quality checks, monitoring, and observability practices to ensure data integrity and operational excellence.
- Conduct code reviews, provide constructive feedback, and promote engineering best practices across the team.
- Mentor junior engineers and contribute to a culture of continuous learning, innovation, and technical excellence.

## REQUIREMENTS

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of experience in data engineering, software engineering, or a related technical role.
- Strong experience building and maintaining large-scale data pipelines and distributed data processing systems.
- Proficiency in Python and SQL, with experience developing production-grade data solutions.
- Experience with modern data platforms and technologies such as Databricks, Spark, Kafka, Airflow, Snowflake, BigQuery, Redshift, or similar technologies.
- Strong understanding of data modeling, data warehousing, and data lake architectures.
- Experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Redis).
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience building APIs and backend services.
- Familiarity with Generative AI technologies, AI agents, prompt engineering, retrieval-augmented generation (RAG), and agent orchestration frameworks.
- Demonstrated ability to stay current with AI tools and emerging technologies, with a strong aptitude for rapidly learning and adopting new frameworks.
- Proficiency in writing and maintaining unit tests, integration tests, and end-to-end tests.
- Ability to coordinate and work with contractors/consultants while owning the quality and delivery of assigned projects.

## PREFERRED

- Familiarity with AdTech.
- Experience with Scala/PySpark and distributed data processing frameworks.
- Experience with Databricks and Delta Lake.
- Experience building production AI applications using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
- Familiarity with vector databases and semantic search technologies.
- Experience with CI/CD pipelines and Infrastructure as Code
- Familiarity with containerization (Docker) and orchestration platforms (Kubernetes).
- Exposure to frontend technologies such as React, TypeScript, or modern JavaScript frameworks.
- Experience with observability, monitoring, and data quality tools.

LG Ad Solutions provides equal work 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 our policies or federal, state, or local laws.

We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@lgads.tv to let us know the nature of your request.

Application Deadline: September 30, 2026

## Compensation & Benefits

- Tier 1* (San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area)$154,000 - $220,000/year
- Tier 2* (all other U.S. Locations outside of Tier 1)$135,000 – $192,500/yr
- Offers Bonus
- Benefits & Perks: 100% employer-paid medical, dental, and vision coverage for employees and eligible dependents. Company-paid life and AD&D, STD and LTD insurance, plus optional supplemental coverage. 401(k) with company match. Flexible Time Off (FTO). Paid parental leave.

*Certain markets, including the San Francisco Bay Area, New York City Tri-State Area, Los Angeles Metro Area, and Seattle Metro Area, are aligned to Tier 1 compensation bands. All other U.S. locations are aligned to Tier 2 compensation bands. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience.

## 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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