Builds and leads Product and Application Engineering alongside Platform Engineering, establishing distributed team ownership, performance expectations, and coaching through senior technical leaders.
Compensation
The anticipated salary rate for this position can range from $132,050.00 - $182,850.00 depending on relevant experience and education, working location, and scheduled weekly hours.
Responsibilities
Builds and leads Product and Application Engineering alongside Platform Engineering
Recruits proven managers and senior technical leaders
Establishes distributed team ownership, delegated authority, performance expectations, succession, and coaching
Sets engineering architecture and modernization direction across applications, integrations, vendor platforms, and assigned infrastructure
Builds shared capabilities and chooses build, buy, reuse, or partner
Requirements
Bachelor's degree from an accredited university or college, preferably in a job related major field of study
Bachelor’s degree in computer science, engineering, or a related discipline
Lead design and implementation of scalable software solutions for mobile payments, mentor engineering teams, and drive technical excellence across the Digital Payments Engineering organization.
Responsibilities
Lead design and implementation of scalable software solutions
Provide technical mentorship to Software Engineers
Oversee platform integration and maintenance
Conduct design reviews and code inspections
Collaborate with cross-functional teams to define technical requirements
Requirements
Bachelor's degree in Computer Science, Engineering, or comparable experience
Build systems to detect and remove personally identifiable information and other sensitive content from raw data before it enters processing and synthetic data pipelines.
Locations (2)
San Francisco, California, United States
Singapore, Singapore
Responsibilities
Build systems to detect PII, quasi-identifiers, credentials and other sensitive information
Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods
Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation
Create evaluation frameworks that measure privacy risk and retained data utility
Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields
Requirements
Nice to have: privacy-enhancing technologies
Associate Project Manager - Generative AI Data Operations
Oversees multi-project portfolios for AI training data programs
Leads delivery and scale: capacity planning, vendor management, and process automation
Ensures quality is consistent across projects, drives performance improvements, and plans work jointly with the Sr. Quality Analyst
Oversees a portfolio of programs that deliver and scale Generative AI data operations, including capacity planning, vendor management, and process automation
Plan and run a group of projects (collection, labeling, evaluation) end-to-end; set priorities, milestones, and handoffs across time zones
Requirements
Bachelor’s degree or equivalent experience in business, operations, data/engineering, or similar
Nice to have: Near-native English with strong writing and editorial skills
Nice to have: Hands-on experience with generative AI tools (text, voice, or video)
Nice to have: Background in QA testing, rubric design, or AI safety/ethics evaluation
Nice to have: Familiarity with data-annotation platforms and model-evaluation tools
Drive and ensure all program objectives are adequately aligned and addressed across enterprise organizations for the PW4000 100” program, consistent with Raytheon Life Cycle Management (RLPM).
Compensation
The salary range for this role is 157,200 USD - 298,800 USD.
Responsibilities
Develop integrated program plans and align enterprise decisions in support program objectives, safety and reliability of fleet.
Lead the 100” program cross-functional enterprise team performance of program task execution and risk mitigation.
Ensure appropriate allocation of program resources, budget, and schedule
Ensure all model program, technical, and logistics issues relating to quality escapes, repairs, warranty support, proposals, cost reduction initiatives, engineering changes, new engine production, aftermarket services service bulletin priority and fleet risk management are aligned and addressed by cognizant IPMT functional leadership.
Resolve conflicting program priorities among enterprise stakeholder organizations.
Requirements
Bachelor's Degree
Advanced degree
Nice to have: Program Management or technical team leadership certifications
Nice to have: Utilizing program-management practices including scheduling (MS Project), and/or earned value-management-systems (EVMS), financial systems and program control, risk and opportunity (R&O)-management
Nice to have: Creating integrated management schedules
Lead project controls activities across major infrastructure projects in Ireland, establishing and managing integrated controls frameworks, processes and systems.
Responsibilities
Establish and manage project controls frameworks, processes and systems across projects
Integrate cost, schedule and risk information into coherent project controls and reporting outputs
Lead the development and management of project controls plans, procedures and governance structures
Oversee programme controls including schedule, cost, risk and change management processes
Manage project reporting, ensuring accurate, timely and consistent performance data and insights
Requirements
Degree in engineering, project management, construction management or a related discipline (or equivalent experience)
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