Top Tech Jobs & Startup Jobs

Leads financial planning, portfolio governance, and business operations for a complex digital, engineering, and autonomy investment portfolio. Responsibilities include forecasting, variance analysis, cloud and compute cost management, workforce and capital planning, purchasing coordination, reporting, risk management, and executive decision support. The role establishes operating standards, integrates financial and delivery information, and presents recommendations to senior leadership while managing cross-functional stakeholders and teams.

Owns the architecture of Caterpillar’s reinforcement learning systems for physical AI and autonomous construction equipment. Designs simulation-based training, imitation learning, foundation-model post-training, sim-to-real transfer, policy evaluation, safety, and deployment methodologies. Establishes standards for reproducibility, experimentation, benchmarks, and field performance while guiding cross-functional teams and translating research into reliable, production-ready learning systems.

Performs data gathering, mining, processing, modeling, and customer analytics on large datasets. Applies NLP, text analysis, machine learning, and statistical methods to identify customer needs and generate business insights. Develops and optimizes algorithms, presents findings to management through data visualization, and supports requirements analysis and data-driven decision-making. The role also involves AI agent development, cloud technologies, version control, and Agile collaboration.

Leads analytics and AI strategy, delivery, governance, and platform ownership for internal auditing. Manages data scientists, develops Power BI and Snowflake solutions, oversees reporting and control monitoring, and drives automation and AI adoption. Partners with audit and business leaders to translate requirements into scalable insights, improve decision-making, and establish secure, reliable analytics practices. The role also manages stakeholder relationships, vendor partnerships, team development, and analytics transformation initiatives.

Develops Python data pipelines and business data objects for applications. Designs, implements, tests, and deploys software and CI/CD pipelines, performs source-to-target mapping, resolves complex technical issues, and promotes software quality practices. The role requires collaboration across functional teams, independent execution of complex assignments, and experience with cloud platforms, Snowflake, version control, and AI coding tools.

Leads the architecture, development, testing, deployment, and integration of embedded CAT Grade software for heavy equipment. The role oversees C, C++, or Simulink development, influences requirements and design decisions, supports verification and validation, troubleshoots complex system issues, integrates hardware and software, and mentors engineers. Work includes machine-based feature checkout and collaboration with product and validation teams.

Leads integration of autonomy hardware and software with base machine systems for autonomous hauling applications. Ensures architecture and program requirements are met, coordinates software releases, supports field data collection kits, and documents system specifications, verification plans, tests, operating procedures, and safety procedures. Assists with hardware-in-the-loop and proving-ground validation, troubleshooting, and development of application software and algorithms for robotic platforms.

Owns the architecture and fidelity of machine, jobsite, environment, and sensor digital twins supporting physical AI, simulation, and autonomy. Defines asset pipelines, data models, validation programs, synthetic-data workflows, and real-to-sim processes using OpenUSD, NVIDIA Omniverse, and related technologies. Translates digital-twin strategy into detailed designs, reusable standards, and implementation guidance while leading engineering collaboration and technology evaluation.

Leads enterprise marketing technology architecture and multi-year roadmaps across content, digital experience, PIM, commerce, analytics, personalization, identity, and omnichannel platforms. Designs application, data, integration, and infrastructure architectures; guides platform strategy, governance, security, privacy, and lifecycle management. Partners with marketing, product, data, security, and engineering teams, evaluates technologies, leads architecture reviews, resolves complex design issues, directs delivery partners, and mentors technical talent while aligning investments to measurable business outcomes.

Lead analytics and applied AI initiatives using statistical and machine learning methods to solve business challenges and support sales and services growth. Partner with stakeholders to develop insights, models, and scalable digital solutions; mentor data scientists; research emerging techniques; and communicate findings to technical and non-technical audiences.