Ad Tech

Ad Tech Data Jobs

17 jobs found

1d ago

Senior Business Data Analyst - Ad Operations

Arity Remote 🌍 Remote

Remote

1d ago

$75k - $126k/yr Full time Marketing Ad Tech Analyst

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Job Description

Senior Data Analyst for ad operations at Arity focuses on monitoring and optimizing programmatic campaigns, collaborating with AdOps, Product, and Data Science, and designing A/B tests to enable ML driven automation.

Responsibilities

Oversee programmatic campaigns by leveraging real-time and historical data signals to optimize performance.
Identify performance bottlenecks across supply, demand, and delivery components and propose targeted interventions.
Design and evaluate A/B and multivariate tests, incorporating sensor-based features into testing frameworks.
Collaborate with AdOps, Product, and Data Science to scale optimization strategies across the organization.
Contribute to automated decisioning systems for campaign management, including budget allocation and bidding adjustments.
Partner with data scientists to translate business problems into ML driven solutions such as propensity models, bidding optimization, and segmentation.
Lead the shift from manual campaign management to automated, intelligence driven optimization.

Requirements

Bachelor’s degree required.
4+ years of experience in data analysis, campaign optimization, or programmatic advertising.
Strong proficiency in SQL and Python for large-scale data analysis.
Solid understanding of the programmatic advertising ecosystem and KPIs such as CPM, CPC, win rate, CPA, and ROAS.
Experience designing and analyzing experiments, including A/B testing and causal inference methods.
Strong problem-solving and analytical thinking skills with a focus on measurable outcomes.
Ability to communicate insights effectively to both technical and non-technical stakeholders.
Location: Remote.

Technologies

Python
SQL
BigQuery

Benefits

Laptop, monitors, headset, keyboard, and mouse provided
Monthly connectivity reimbursement for home internet costs
Flexible environment that embraces connection and belonging

Skills

Data Analytics
Digital Advertising
Programmatic Advertising
Python (Programming Language)
SQL (Structured Query Language)

Compensation

USD 75,100 - 126,325 per year

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1d ago

Machine Learning Engineer, Commerce Ads Ranking

TikTok San Jose, CA

San Jose, CA

1d ago

$156k - $317k/yr Full time Ad Tech Ai Ml Distributed Training

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Job Description

Based in San Jose, CA (onsite), this TikTok role seeks a Machine Learning Engineer to optimize Commerce Ads Ranking models from recall through fine sorting and to advance large-scale distributed training in privacy-preserving environments, with a salary range of USD 156,000 – 316,800 per year.

Responsibilities

Improve ads delivery model performance through feature engineering, architecture choices, automated feature crossing, addressing ad cold start, modeling delayed feedback, and applying multi-task and sequence modeling techniques.
Contribute to algorithm and system co-design, including retrieval algorithms, sample mining strategies, and long sequence handling.
Investigate and optimize large-scale distributed training frameworks, focusing on GPU tuning, feature processing, and synchronous training to boost ads delivery efficiency under privacy-preserving constraints.
Advance next generation recommendation approaches using an LLM-based learning paradigm, covering entity understanding, end-to-end generative recommendation, sequence-only recommendation, and a Mixture of Export framework.

Requirements

Strong coding skills in C++ and Python, with a solid foundation in data structures and algorithms.
Robust background in machine learning and familiarity with models such as FM, LR, GBDT, DNN, and Wide & Deep.
Excellent learning ability and collaborative mindset, with strong analytical and problem-solving skills. Publications in KDD, NeurIPS, SIGIR, or experience in data mining or ML competitions are a plus.
Bachelor's degree or higher in computer science or related fields.

Technologies

C++, Python, LLM

Benefits

Medical, dental, and vision insurance from day one
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time, prorated at hire with tenure-based accruals
Eligible for discretionary bonuses or incentives
Restricted stock units

Los Angeles County (Unincorporated) Candidates

Occasional unsupervised interaction with internal or external clients and colleagues
Appropriate handling and management of confidential information and access to IT systems
Exercise sound judgment

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2d ago

Machine Learning Engineer, Ads Creative

TikTok San Jose, CA

San Jose, CA

2d ago

$156k - $317k/yr Full time Ad Tech Ai Ml Deep Learning

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Job Description

TikTok is hiring a Machine Learning Engineer, Ads Creative to build large scale ads systems and advanced ML components for monetization, targeting, and creative optimization.

Responsibilities

Contribute to the development of a large scale ads platform.
Lead the development of state of the art applied machine learning projects within ads.
Own critical targeting components and strategies in the ads monetization ecosystem.
Collaborate with product and business teams to shape product vision and roadmap.

Requirements

BS or MS degree in Computer Science, Computer Engineering, or related fields.
Strong theoretical grounding in machine learning with practical experience in ML concepts and techniques.
Excellent programming, debugging, and optimization skills in Go, C/C++, Python or similar languages.
Experience with ML frameworks such as TensorFlow, PyTorch, MXNet, or equivalent.
Ability to think critically and articulate solutions clearly and concisely.

Technologies

Go
C
C++
Python
TensorFlow
PyTorch
MXNet

Compensation

Base salary range: $156,000 - $316,800 annually.
Pay transparency description: The base salary range for this position in the selected city is $156000 - $316800 annually.

Location

San Jose, CA (onsite)

Employment Type

Regular

Job Code

A56375

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Potential discretionary bonuses/incentives
Restricted stock units

Los Angeles County Candidates

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues; 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound

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9d ago

Machine Learning Engineer - Search Ads

TikTok San Jose, CA

San Jose, CA

9d ago

$156k - $317k/yr Full time Ad Tech Analytics Artificial Intelligence

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Job Description

Onsite machine learning engineer role in San Jose, CA on TikTok's Search Ads team, delivering large-scale ads systems with NLP, ranking, and optimization across the TikTok app ecosystem.

Responsibilities

Contribute to the development of a large-scale Ads system.
Own relevance modeling and strategy optimization, including semantic matching, active learning, multimodal (text, photo, video) modeling, and ranking approaches.
Develop and iteratively improve Ads algorithms using machine learning techniques.
Advance NLP capabilities and query understanding, covering query classification, seq2seq models, named entity recognition, knowledge graphs, and bidword optimization.
Improve CTR and CVR estimation accuracy through data analysis, modeling, and feature engineering.
Research and implement Ads pacing and traffic-control algorithms.
Collaborate with product managers and strategy/operations teams to define product direction and feature sets.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related field.
Strong programming, debugging, and optimization skills in general-purpose programming languages.
Ability to think critically and articulate solutions clearly and concisely.

Technologies

Go
C/C++
Python

Benefits

Base salary range: 156,000 - 316,800 USD per year
Potential discretionary bonuses or incentives
Restricted stock units
Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time

For Los Angeles County (Unincorporated) Candidates

Interacting with internal or external clients and colleagues, including unsupervised contact as needed
Appropriately handling and safeguarding confidential information, including proprietary and trade secrets, and access to information systems
Exercising sound judgment in relevant scenarios

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13d ago

Data Engineer, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC New York, NY

New York, NY

13d ago

$111k - $185k/yr Full time Ad Tech Analytics Big Data

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Job Description

This entry-level Data Engineer role within the Ads Science Analysis & Tech (ASAT) group at Amazon Ads is based onsite in New York, NY. The position targets recent undergraduates and emphasizes developing analytics methods, analyzing complex data flows, and translating insights into actionable recommendations for bidding, targeting, relevance, and feature releases. The role offers a salary range of USD 111,400 to 185,000 per year. A bachelor’s degree is required, with a minimum of one year of data engineering experience.

Responsibilities

Assess data trends related to supply, optimization, ad load, and advertising mix to understand effects on advertiser performance and support advertiser goals.
Deliver research papers to senior leaders on topics such as how feature development influences identity recognition rates and how changes to ad selection systems affect fill rate, highlighting insights to guide business development and engineering roadmaps.
Define and standardize analytics for Ads auctions by examining bid spreads, auction depth, and simulating the impact of potential auction structure changes.
Identify, standardize, and operationalize KPIs to measure performance across ad serving systems, using trend insights to steer business priorities.
Collaborate with engineering teams to define data logging requirements and secure priority placement in engineering roadmaps.
Validate financial models through analysis.
Develop and manage ad revenue and supply intelligence analytics decks delivering ongoing in-depth analyses.

Requirements

At least one year of data engineering experience.
Proficiency with SQL.
Experience in data modeling, data warehousing, and building ETL pipelines.
Bachelor's degree required.
Experience using AI to automate tasks and building projects with GitHub and other sources to showcase work.

Technologies

SQL
GitHub

Benefits

Sign-on incentives
Restricted stock units (RSUs)
Comprehensive health coverage (medical, dental, vision, prescription)
Basic life and AD&D insurance
Optional supplemental life insurance plans
Employee Assistance Program (EAP)
Mental health support services
Medical advice line
Flexible Spending Accounts (FSAs)
Adoption and surrogacy reimbursement
401(k) with employer matching
Paid time off
Parental leave

A Day in the Life

The Data Engineer collaborates with business leaders and engineers to design a unified data architecture that optimizes data logging across multiple granularities, enabling interoperability from bid flow through optimization to campaign delivery. The role includes analyzing the data and preparing papers and ongoing reports that translate insights into actionable recommendations.

About the Team

The Ads Science Product Team aims to work with stakeholders who require product data, applying objective analysis and business logic to reveal insights, advise strategic decisions, and adapt to evolving industry conditions.

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14d ago

Principal. Product Manager - Tech, Measurement Ad Tech Data Science

Amazon.com Services LLC New York, NY

New York, NY

14d ago

$198k - $268k/yr Full time Manager Ad Tech Analytics

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Job Description

Amazon.com Services LLC is seeking a Principal Product Manager – Technical to guide the development of Audio and Video measurement solutions for Amazon Ads. The role is based onsite in New York, NY, with a salary range of USD 197,900 to 267,800 per year and requires a Bachelor's degree along with substantial technical product management experience. The position centers on delivering data-driven reporting that helps advertisers measure, analyze, and optimize campaigns across third-party and first-party measurement frameworks.

Responsibilities

Define the strategy, roadmap, and delivery of technical solutions designed to help advertisers evaluate their campaign performance across both third-party and first-party measurement frameworks.
Help advertisers understand the effectiveness of their campaigns, identify optimization opportunities, and drive tangible business outcomes.
Work backwards from the customer to identify needs.
Partner with engineering to build scalable event-driven architectures to process billions of impressions and conversions daily.
Drive adoption through close collaboration with internal and external stakeholders.
Work closely with third-party measurement vendors and internal first-party measurement systems to report and optimize on key metrics for Audio and Video advertising.
Collaborate across multiple engineering, data science, and design teams to build robust, data-driven reporting products.

Requirements

2+ years of end-to-end product delivery experience
8+ years of technical product or program management experience
Bachelor's degree
Experience with feature delivery and tradeoffs of a product
Experience owning/driving roadmap strategy and definition
Experience leading engineering discussions around technology decisions and strategy related to a product
Experience in technical product management

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance (and option for Supplemental life plans)
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Description

We are seeking an experienced, customer-focused Principal Product Manager – Technical to lead the development of innovative solutions in third-party and first-party Audio and Video measurement. This role will play a key part in helping advertisers measure, analyze, and optimize their advertising campaigns across Amazon Ads. By delivering performance reporting and actionable insights, our team empowers global advertisers to connect their media investments with customer outcomes. If you're passion

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14d ago

Data Engineer, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC Seattle, WA

Seattle, WA

14d ago

$111k - $185k/yr Full time Ad Tech Analytics Business Analytics

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Job Description

Join the Ads Science Analysis & Tech (ASAT) team at Amazon Ads in Seattle. This onsite data engineering role focuses on building analytics tools to trace complex data flows and convert deep-dive analyses into actionable insights for product teams, with a salary range of USD 111,400 to 185,000 per year. The role offers strong benefits, including comprehensive health coverage, 401(k) matching, paid time off, parental leave, and sign-on with restricted stock units. The position requires a bachelor's degree and at least one year of data engineering experience, and your work can influence bidding algorithms, targeting decisions, and feature releases.

Responsibilities

Analyze data trends related to supply, optimization, ad load, and mix effects to measure advertiser performance and support progress toward advertiser goals
Present findings to senior leaders on topics such as feature development impact on identity recognition rates and changes to ad selection systems to improve fill rate, guiding business and engineering roadmaps
Formalize analytics approaches for Ads auctions by examining bid spreads, auction depth, and simulating the potential impact of alternative auction structures
Identify, standardize, and operationalize KPIs to gauge the performance of all ad-serving components, using trends to inform business priorities
Collaborate with engineering to define data logging requirements and secure prioritization on roadmaps
Validate financial models through rigorous analysis
Develop and maintain ad revenue and supply intelligence dashboards that deliver ongoing, in-depth insights

Requirements

Minimum 1 year of data engineering experience
Proficiency with SQL
Experience in data modeling, warehousing, and building ETL pipelines
Bachelor's degree

Technologies

SQL
GitHub

Benefits

Comprehensive health coverage including medical, dental, vision, prescription, Basic Life and AD&D, with optional Supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and Adoption and Surrogacy reimbursement
401(k) with company matching
Paid time off and parental leave
Sign-on payments and restricted stock units (RSUs)

A day in the life

In this role you will collaborate with business leaders and engineers to design data architectures that enable consistent logging across data grains and ensure interoperability from bid flow through optimization to campaign delivery. You will analyze the data and circulate papers and ongoing reports that translate findings into actionable guidance.

About the team

The Ads Science Product Team aims to equip product stakeholders with objective analysis and practical business logic to uncover insights, inform strategic decisions, and adapt to industry changes.