Software Engineer II, Advertiser Optimization

Ladders; United States; Remote; USD 145,000 - 153,000; Full time

Benefits offered by this job

Remote work flexibility

Equity grants

Annual refresh grants

Comprehensive market-competitive comp.

Job summary

Ladders is seeking a Software Engineer II, Advertiser Optimization to join its advertising tech team. You will build and refine algorithms to improve marketplace ad performance, focusing on bidding, pacing, and budgeting, while collaborating with scientists, engineers, and product managers.

Remote work is available for US-based candidates, with clear communication of assumptions and results, and production-ready code.

Qualifications

• PhD in mathematics, statistics, economics, operations research, or a related quantitative field.
• Proficiency in Python and SQL with a focus on implementing algorithms.
• Strong analytical and communication skills to explain complex findings clearly.
• 2+ years of software engineering experience applying quantitative methods in production.
• Familiarity with ads systems, auction theory, or marketplace optimization problems.

Responsibilities

• Develop and evaluate models and algorithms for advertising bidding, pacing, and budgeting
• Collaborate with senior scientists, engineers, and product managers to translate marketplace questions into mathematical approaches
• Implement, validate, and monitor algorithms in production
• Adapt quickly to changing priorities and challenges in a fast-paced environment
• Communicate assumptions and findings clearly to technical and non-technical partners

Skills

Python

SQL

Quantitative methods

Communication skills

Software engineering

Education

PhD in mathematics, statistics, economics, operations research, or related quantitative field

Job description

For our client, we are seeking a Software Engineer II, Advertiser Optimization to join the team of a leader in the Consumer Technology space.

This role focuses on building and refining algorithmic solutions that improve marketplace advertising performance, with an emphasis on bidding, pacing, and budgeting. You will partner closely with scientists, engineers, and product managers to turn complex marketplace questions into production-ready math and code. The position also requires clear communication of assumptions, results, and tradeoffs to both technical and non-technical stakeholders.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $145,000 - $153,000 annually

Responsibilities

• Develop and evaluate models and algorithms for advertising bidding, pacing, and budgeting
• Collaborate with senior scientists, engineers, and product managers to translate marketplace questions into mathematical approaches
• Implement, validate, and monitor algorithms in production
• Adapt quickly to changing priorities and challenges in a fast-paced environment
• Communicate assumptions and findings clearly to technical and non-technical partners

Qualifications

• PhD in mathematics, statistics, economics, operations research, or a related quantitative field
• Proficiency in Python and SQL with a focus on implementing algorithms
• Strong analytical and communication skills to explain complex findings clearly
• 2+ years of software engineering experience applying quantitative methods in production
• Familiarity with ads systems, auction theory, or marketplace optimization problems

Benefits

• Remote work flexibility through a flexible remote-first policy
• Eligibility for new hire equity grants and annual refresh grantsComprehensive market-competitive compensation packages

Our client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification- your background could be exactly what this team needs.