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Work at Orange Storm

There are always opportunities for talented people to join our epic team!

At Orange Storm, we're building a passionate team of creators, strategists, and media experts who believe in the power of performance marketing and cross-border innovation.

Whether you're a growth hacker, paid ads specialist, data analyst, or a creative storyteller — we’d love to hear from you. We work remotely, think globally, and move fast.

If you're looking to work on meaningful campaigns with international brands, get in touch. Let's grow together!

Open positions at Orange Storm

Sales Manager-US

This is a full-time position. Candidates will be considered from all major US markets, including but not limited to Los Angeles, San Francisco, New York, Chicago, etc.

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Job Description:

 

  1. Report directly to Senior Sales Director

  2.  Orange Storm programmatic solutions to key decision-makers to direct advertisers, primarily mobile app companies, or major media agencies

  3. Close new business contracts and ensure successful campaign launches

  4. Partner with internal support teams to ensure maximum levels of client-facing service. Push revenues and win against exciting revenue targets.

  5. Must hold valid U.S. work authorization (GC/Resident/Other non-visa permit)

 
Compensation

  1. Base salary + uncapped commission

  2. Competitive salary + equity options

  3. 401K and comprehensive health/dental/vision insurance.

  4. ​PTO up to 20 days

  5. 100% remote/hybrid work flexibility

  6. Parental leave

Requirements

  • 3-5+ years experience selling directly to major direct advertisers and digital agencies, to buyers managing marketing, spending for app-based advertising campaigns

  • Bachelor's, or Master’s degree preferred, but equivalent years in work experience will be considered

  • Excellent presentation and communication skills, both in-person and over the phone

  • Exemplary sales performance through resourceful execution & partnerships

  • Very strong knowledge of mobile marketing techniques and technologies (DSPs, ad networks, exchanges, DMPs, SSPs, ATT, SKAd, audience targeting, etc.)

  • Possesses an extensive network of go-to-market US agency/buyer contacts

  • Demonstrates accountability/ownership at every stage of client business: prospecting, presenting, negotiating, and has fun "rolling up his/her sleeves

Sales Manager- VN

Job Description:

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  1. Contacting new and existing clients (Agencies or Advertisers) in SEA, identifying sales opportunities and providing these businesses with the best solution for their business goal.

  2. Improve client’s experience by driving optimal and appropriate product adoption. Manage a portfolio (book of clients) of Small to Medium Business (SMB) clients with responsibility for growing revenue.

  3. Become an expert on client’s Advertising solutions and ability to identify trends and solve problems.

  4. Champion and produce success stories for advertisers who have had success in growing their business by using the products. Use a variety of tools to be able to properly communicate and drive Advertiser’s business to success.

Requirements

  • Candidate must possess at least Bachelor's Degree in any field.

  • Preferably with 2 years of working experience in the related field is ideal for this position.

  • Strong time management skills and motivation to exceed expectations.

  • Business development, sales account management or consultative selling experience is a plus.

  • Excellent communication skills: verbal, written, listening skills.

  • Self-starter who can meet deadlines and enjoys working in a competitive inside sales environment, comfortable working with computers and multiple systems.

  • Excellent verbal and written communication skills in English and the local language of the supporting market.

 

Product Manager - 

Ad Exchange Products

This is a full-time position based in Singapore! 

Candidate MUST hold a valid ​Singapore Work Pass (SP/EP), ​Permanent Resident (PR), or ​Citizenship. Visa sponsorship ​not provided.

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Job Description:

 

1. Define roadmap for programmatic ad products (DSP/SSP/Ad Network).

2. Conduct competitive analysis of The Trade Desk, Google Ad Manager, etc.

3. Collaborate with engineers on MVP features (e.g., dynamic creative optimization).

4. Develop partnerships with publishers and demand-side platforms.

5. Lead sprint cycles for ​real-time bidder analytics dashboards.

6. Analyze auction metrics (fill rate/CPM) to refine yield policies.

Requirements

  • ​3-5 years in ad exchange product management (e.g., Google Ad Manager).

  • ​OpenRTB 3.0 and DSP/SSP workflow expertise.

  • Proficient in ​Spark/Kafka and ​AWS/GCP for data pipelines.

  • ​Market analysis skills with ​Tableau/Power BI.

  • ​Fluent English (business negotiation), ​Chinese proficiency (bonus).

Campaign Analyst

This is a full-time position based in Singapore!

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Candidate MUST hold a valid ​Singapore Work Pass (SP/EP), ​Permanent Resident (PR), or ​Citizenship. Visa sponsorship ​not provided.

 

Job Description:

 

  1. Leverage the programmatic ecosystem and attribution knowledge to build, operate, analyze and optimize campaigns following the best strategies to achieve our clients’ goals.

  2. Manage and grow your own client portfolio, within a variety of verticals, KPI’s (CPM’s, IPM’s, CPI’s, CPA’s, ROAS, etc) and budgets. Highly performance focused.

  3. Analyze large, complex data sets containing the behavior of millions of mobile users worldwide to provide the right strategic and operational decisions.

  4. Obtain insights from our campaign portfolio, to make decisions that will directly impact on our company revenue.

  5. A/B test different variable changes using Smadex DSP and share the results among the team to keep improving performance.

  6. Help develop and improve our product tools and processes to ensure data influences decisions at all levels of the company. Effective communication is required.

Requirements

  • 1+ year of experience in a similar role.

  • Knowledge of digital programmatic buying (performance focused) is a BIG plus.

  • Bachelor or Master's Degree in Engineering preferable, if not in Business or Economics

  • Data and performance driven mindset and proven working experience in large data sets, understanding of analytic methodologies for data evaluation.

  • Strong analytical skills with the ability to analyze key metrics to optimize campaigns and meet client’s KPIs.

  • Ability to adapt and adjust to regular changes in priorities due to the nature of our fast driven environment.

  • Excellent communication skills in English both written and spoken are mandatory.

  • Proven ability to solve data-related problems using creative thinking.

  • SQL/Python/R experience is a plus

Machine Learning Engineer - Ad Fraud Detection

This is a full-time position based in US!

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Job Description:

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1. Must hold valid U.S. work authorization (GC/Resident/Other non-visa permit).

2. Develop real-time scoring systems using TensorFlow/PyTorch.

3.Integrate third-party verification vendors (IAB Tech Lab, DoubleVerify).

4. Maintain model interpretability for regulatory compliance.

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Compensation:

  • Base salary + performance bonuses

  • Competitive salary + equity options

  • 401K and comprehensive health/dental/vision insurance.

  • ​PTO up to 20 days

  • 100% remote/hybrid work flexibility

  • Parental leave

Requirements

  • ML Engineering Experience:

  • 4+ years designing production ML systems for fraud detection or anomaly detection

  • Proven track record of ​reducing ad fraud losses by 10%+ (quantify with metrics)

  • ​Python (core): Expertise in Pandas, Scikit-learn, TensorFlow/PyTorch

  • ​Rust/Go (bonus): Used for high-performance model inference or real-time data pipelines

  • ​SQL: Advanced query writing (window functions, CTEs) for TB-scale ad log analysis​

  • Hands-on experience with ​OpenRTB 3.0 and ad exchange APIs (The Trade Desk, Google Ad Manager)

  • Knowledge of ​ad fraud metrics: CTR manipulation, invalid clicks, impression fraud​

  • Designed ​real-time feature pipelines using Kafka/Spark Streaming

  • Optimized training data quality (handling class imbalance, cold start problems)

  • Familiar with ​GDPR/CCPA requirements for ad data privacy

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