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Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

Who We Are Incredibuild is the leading platform empowering developers and enterprises to radically accelerate their development cycles. We help world-leading brands like Microsoft, Citi Bank, GM, Amazon, and Adobe shorten build times, allowing for more iterations, faster product releases, and significant resource savings. Our technology streamlines and accelerates everything from compilation to release automation, dramatically expediting time to market for our clients.
Your mission is to lead the core engine that powers Incredibuild’s acceleration across Linux and Windows. As Product Manager for Core Acceleration, you will own the foundational component that enables our product ecosystem. This is a highly technical, high-impact role for a PM who thrives on solving complex engineering challenges.
What you'll do Own the roadmap: You will own the strategic roadmap for the core product. Manage stakeholders: Act as the primary product partner for our Cloud PMs. You will intake their requests, understand their needs, and prioritize them against your own roadmap initiatives. Define technical requirements: Work hand-in-hand with engineering to translate complex needs into detailed technical requirements, user stories, and acceptance criteria. Prioritize ruthlessly: You will be the single point of contact for your R&D teams, making the hard trade-off decisions between new features, performance improvements, and technical debt. Measure performance: Define and own the KPIs. You will live in the benchmarks and drive continuous improvement. Serve the enterprise: Meet customers and prioritize, together with the rest of the product team, the unique needs of our customers.

As a Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
You will have a chance to grow and develop professionally by owning data-driven projects from the research phase through to production, collaborating with highly experienced researchers.
Responsibilities
Develop classical machine learning and deep learning models that will impact company goals directly.
Work with partner teams to design and implement solutions in recommender systems, classification and prediction for given objectives.
Find solutions to complex problems in social network recommendations, understand the data generation process and the challenges involved with working with big data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

As a Senior Data Scientist, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models in the domains of dating, moderation and content segmentation and apply them to tasks such as recommendation systems and analytics at a high scale.
Responsibilities
Work with management and partner teams to design and implement solutions in recommender systems for given objectives.
Lead technical efforts to improve the performance of deep learning models and propose initiatives to impact company goals directly.
Autonomously find solutions to complex problems in social network recommendations and understand the data generation process and challenges with the data.
Analyze and leverage the extensive data received from our application to enhance model performance and accuracy.

Were looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. Youll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact.
If youre passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; wed love to hear from you!
Responsibilities
Identify opportunities for improvement through data analysis aligned with company strategy.
Partner cross-functionally to translate data findings into actionable product and business decisions.
Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

We are looking for a dual-threat digital expert to join our ads revenue team. This hybrid role is split between Ad Operations and Audience Strategy. You will be responsible for the technical health of our advertising stack (GAM/SSPs) while simultaneously acting as the primary consultant for our sales team on audience data.
The ideal candidate understands how to pull the technical levers of yield management and how to translate complex data sets into high-value audience packages for advertisers.
Responsibilities
Ad Operations & Campaign Management
Inventory Management: Manage the end-to-end setup, delivery, and optimization of campaigns within Google Ad Manager (GAM).
Programmatic Oversight: Maintain and optimize connections with various SSPs and header bidding partners.
Yield Optimization: Monitor and adjust floor prices across various tiers to maximize RPM and reduce wasted inventory.
Troubleshooting: Act as the lead for technical discrepancies, creative QA, and debugging delivery issues.
Reporting: Generate daily/weekly performance reports for internal stakeholders, focusing on fill rates and technical health.
Operational leg of programmatic curation, PD and PG campaigns.
Follow the ad delivery process, ensuring correct implementation and functioning across different channels.
Work closely with the Sales and AM team to debug errors related to ad creatives, tag implementations, and third-party programmatic partner integrations.
Manage and maintain a healthy ads.txt ID list.
Work with internal stakeholders to ensure brand safety and compliance with ad policies.
Technical support of the partners QBR preparation.
Supporting smaller technical projects and action plans based on partner feedback.
Audience Strategy & Sales Support
Sales Consultancy: Act as the subject matter expert for the sales team, answering complex inquiries regarding audience scale, reach, and feasibility.
Project Leadership: Lead the rollout of new audience-centric projects (e.g., implementing a CDP, transitioning to cookieless solutions, or testing ID providers).
Market Insight: Stay ahead of privacy regulations (GDPR/CCPA) and technical shifts (Privacy Sandbox) to ensure our data strategy remains compliant and competitive.
Audience Segmentation: Build and maintain complex, high-performing audience segments
1st-Party Data Strategy: Develop strategies to increase data collection points within the app while maintaining strict compliance with privacy regulations (GDPR, CCPA, ATT).
Testing & Optimization: Run rigorous A/B tests on audience definitions and journey logic. Analyze performance data to refine targeting strategies and improve ROI.
Cross-Functional Collaboration: Act as the data translator between technical engineering teams and the growth marketing team to ensure tracking events are accurately mapped and actionable.