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Senior Software Engineer, Data Products

Fox Corporation

Senior Software Engineer, Data Products

Fox Corporation

Los Angeles, California, USA

·

On-site

·

Full-time

·

2w ago

OVERVIEW OF THE COMPANY

JOB DESCRIPTION

As a Senior Software Engineer, you will play a pivotal role in building next-generation AI-driven applications, services, and tools that transform how ad sales operates. You will leverage your experience in AI/ML and data systems to develop intelligent workflows that unlock new revenue opportunities and optimize business outcomes.

You will work across a modern, distributed ecosystem—designing orchestration layers that connect system-of-record data with AI/ML models, microservices, and custom applications. This includes building agent-driven workflows, retrieval systems, and scalable services that power decisioning, automation, and insight generation across the ad sales lifecycle.

Your expertise in multi-cloud environments such as AWS, GCP, and Databricks will be critical as we build a flexible, extensible platform that enables rapid innovation and measurable business impact.

WHY JOIN US?

  • Innovative Environment: Build AI-powered systems that directly impact revenue and business performance.

  • Collaborative Culture: Partner with product, data, and business teams to shape next-gen workflows.

  • Career Growth: Work on high-visibility initiatives with strong ownership and advancement opportunities.

  • Impactful Work: Help redefine how data and AI drive decision-making in a core business function.

ABOUT YOU

  • Balanced Skill Set: Able to navigate complex systems and trade-offs across engineering, data, and business contexts.

  • Strong Communicator: Clearly articulate technical concepts and influence cross-functional stakeholders.

  • Business-Oriented: Passionate about translating business problems into scalable technical solutions.

  • Curious Builder: Energized by emerging AI capabilities and applying them to real-world workflows.

A SNAPSHOT OF YOUR RESPONSIBILITIES

  • Design and implement scalable AI/ML-driven applications that support core ad sales workflows.

  • Build intelligent orchestration layers that integrate data systems, models, and services.

  • Develop agent-based and retrieval-driven systems to power automation and decision support.

  • Prototype new approaches and productionize solutions that drive measurable business impact.

  • Collaborate closely with product, data, and business stakeholders to define and deliver solutions.

  • Maintain high engineering standards while operating in a fast-paced, iterative environment.

  • Mentor and support other engineers on the team.

WHAT YOU WILL NEED

  • Experience in Software Engineering, Data Science, or ML Engineering.

  • Strong understanding of distributed systems and scalable architecture.

  • Experience building data-driven applications leveraging AI/ML models.

  • Familiarity with modern AI techniques, including LLMs and retrieval-based systems.

  • Experience designing APIs (REST or GraphQL) and microservices.

  • Proficiency in building batch and streaming data pipelines on cloud platforms.

  • Experience working in cloud environments such as AWS, GCP, or Databricks.

  • Ability to work efficiently and deliver in a fast-paced, product-driven environment.

  • Regular, on-site attendance at the workplace a minimum of 3 days per week is an essential function of the position. Selected candidate must be able to reliably meet this requirement.

NICE TO HAVE, BUT NOT A DEALBREAKER

  • Experience with agent orchestration frameworks or workflow engines.

  • Background in ad tech, sales systems, or revenue optimization platforms.

  • Familiarity with vector databases and retrieval systems.

  • Experience building internal platforms or decisioning systems for business teams.

  • Proficiency in Python, Java, or similar languages.

  • Experience with CI/CD and infrastructure-as-code.

If you're excited about applying AI to transform business workflows and drive real revenue impact, we’d love to hear from you.

#Ll-Hybrid

#Ll-KD1

Learn more about Fox Tech at https://tech.fox.com

#foxtech

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-186,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.

View more detail about FOX Benefits.

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About Fox Corporation

Fox Corporation

Fox Corporation, commonly known as Fox Corp or Fox, is an American multinational mass media company headquartered at 1211 Avenue of the Americas in Midtown Manhattan with offices also in Burbank, California.

10,001+

Employees

New York

Headquarters

$16.5B

Valuation

Reviews

3.6

10 reviews

Work-life balance

3.2

Compensation

2.8

Culture

4.1

Career

3.4

Management

3.0

68%

Recommend to a friend

Pros

Great team culture and supportive colleagues

Good benefits and health coverage

Challenging and interesting projects

Cons

Management and leadership issues

Low compensation relative to workload

High-pressure and stressful environment

Salary Ranges

25 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Staff Accountant

1 reports

$83,950

total per year

Base

$73,000

Stock

-

Bonus

-

$83,950

$83,950

Interview experience

50 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer rate

36%

Experience

Positive 62%

Neutral 24%

Negative 14%

Interview process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common questions

Technical skills

Past experience

Team collaboration

Problem solving