Lead application, integration and validation of engine systems and associated interfaces/subsystems for Thermo King transport refrigeration units.
Compensation
Annual Base Salary Range or Hourly Base Pay Range:
$105,228.33 - $146,720.00
Responsibilities
Lead the application, integration and validation of engine systems and associated interfaces/subsystems
Coordinate and lead technical efforts with engine supplier, designers, technicians, and other cross-functional teams
Support and evaluate control system and electrical integration between electrical and mechanical interfaces for engines and Thermo King products
Utilize predictive modeling and simulation and correlate with empirical testing results for design understanding and optimization
Own validation of design durability and root cause analysis of product issues through DFMEA/DVPR process, data mining, forensics and test analysis to drive corrective actions and provide technical report outs
Requirements
Bachelor’s degree in Engineering, Engineering Technology, or equivalent from a four-year college or university
Supports Factory of the Future and Industry 4.0 initiatives by leveraging data, analytics, and AI technologies to improve manufacturing efficiency, quality, and operational performance.
Compensation
$90,000 - $125,000 annual compensation
Responsibilities
Leads industry 4.0 and AI initiatives by identifying, prioritizing, and implementing data-driven solutions that optimize manufacturing processes across molding, assembly, and co‑extrusion processes.
Collaborates with cross‑functional teams including engineering, operations, IT, and automation teams to integrate digital technologies and analytics into production systems.
Develops and maintains data infrastructure including ETL pipelines, databases, SQL queries, and data environments to support manufacturing analytics and AI applications.
Collects, validates, and manages production data from multiple sources, including PLCs, HMIs, sensors, and enterprise systems, ensuring data accuracy and integrity.
Designs, develops, and optimizes machine learning and AI models to improve quality, productivity, predictive maintenance, process control, and operational efficiency.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Science, or related discipline
Own the technical side of client engagements from first demonstration through integration and production launch. This role blends hands-on engineering with solution architecture, delivering end-to-end software for external business users.
Compensation
Base salary: USD 170,000 to 205,000 per year
Responsibilities
Lead technical delivery for client accounts, covering demos, requirements discovery, design workshops, implementation and testing.
Design and build AI-driven agents and analytical products on top of shared internal platform components.
Connect the software to client systems such as CRMs and consumer apps, working with varied incoming data and building the pipelines to move it.
Partner with client technical and data staff over video to turn their existing processes into working production solutions.
Contribute field feedback to the core platform team, roughly 10-20% of your time, to help guide product direction.
Lead the design and oversight of the global marketing technology stack and data platform ecosystem, acting as the technical bridge between marketing and IT.
Compensation
$167,000.00 - $270,500.00/yr
Responsibilities
Be the principal marketing architect for the marketing technology stack, actively partnering with IT to design and execute the full end-to-end (E2E) vision.
Lead the MarTech council, serving as the primary technical Subject Matter Expert (SME) in marketing for the rigorous technical evaluation of proposed vendors and marketing use cases.
Act as the primary technical interface between Marketing and IT ensuring seamless solution design, implementation, and the proactive communication of MarTech stack requirements to Engineering/IT stakeholders.
Be the marketing lead, guide and direct the solution design and development of a fully integrated MarTech ecosystem, in collaboration with IT, to enable real-time omnichannel journey orchestration and facilitate agentic automation.
Provide technical leadership and oversight to ensure successful, compliant, and efficient Customer Data Platform (CDP) development and implementation.
Requirements
Nice to have: Agile Methodologies
Nice to have: Program Management
Nice to have: Cross-functional Relationship Development
Lead the design, governance, and optimization of enterprise-grade AI and data platforms that enable marketing operations and journey activations across omnichannel.
Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
Responsibilities
Define and execute the marketing AI and data platform vision aligned with enterprise and marketing objectives
Lead the development of scalable, secure, and high-performance AI-driven data solutions
Partner with IT and engineering teams to embed and integrate scalable AI
Oversee the design and management of modern data architectures
Partner on architectural design and lead business requirements for enterprise-grade customer data platform
Lead AI Engineer responsible for setting vision, building team, and delivering AI solutions at scale in semiconductor manufacturing.
Responsibilities
Define AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
Partner with tool, process, and applications engineers to map as-is processes and define a to-be AI/automation architecture and deliver measurable outcomes.
Ship agentic assistants for use-cases. Stand up LLM + RAG + tool integrations that help engineers accelerate tool operation/setup/maintenance and explain trade-offs.
Lead projects across predictive maintenance, computer vision, LLM-based engineering assistants, process optimization, simulation and digital twins.
Build retrieval-augmented AI assistants to query internal knowledge bases, tools, and logs.
Senior technical leadership role responsible for the strategic design, governance, and optimization of Reid Health's enterprise Epic analytics ecosystem.
Responsibilities
Design and maintain the enterprise architecture for Epic's Cogito analytics suite
Define data architecture standards, governance policies, and best practices
Serve as the primary technical authority on Epic data models, schema design, and downstream data integration strategy
Develop and maintain the enterprise roadmap for Epic analytics capabilities
Architect and optimize Clarity, Caboodle, and Cogito Cloud data warehouse structures
Requirements
Bachelor's degree in Computer Science, Information Systems, Health Informatics, or a related field
A hands-on technical leadership role leading data science and machine learning initiatives to improve outcomes for students, university partners, and Risepoint.
Responsibilities
Lead data science and AI/ML initiatives from problem definition through implementation and measurement.
Work across the data science lifecycle, from defining the problem and building models to experimentation, production deployment, and measuring business impact.
Set the technical direction for the team and mentor other data scientists.
Work closely with Product, Engineering, Customer Experience, and Partnership teams.
Build and improve predictive models for areas such as enrollment, churn risk, engagement, personalization, and recommendation.
Requirements
Bachelor's or Master's degree in computer science, statistics, econometrics, mathematics, engineering, or another quantitative discipline, or equivalent relevant experience
PhD in a quantitative or technical discipline preferred
Senior Engineer, EnginesNewTrane Technologies · Minneapolis, US