RBGlobal logo
RBGlobal

RB Global (NYSE: RBA) is a leading, omnichannel marketplace that provides value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Operates auction sites in 13 countries Serves customers in more than 170 countries across various asset classes Marketplace brands include Ritchie Bros. and IAA Offers end-to-end asset management and data-driven intelligence through Rouse Services Innovative technology platform for equipment lifecycle management via SmartEquip Leader in live simulcast auction technologies with Xcira Online marketplace for heavy haul transport through Veritread

Manager, Software Engineering

Engineering ManagerEngineering ManagerOtherRemoteLeadTeam 1,001-5,000

Location

United States

Posted

97 days ago

Salary

$129K - $161K / year

Seniority

Lead

Job Description

Manager, Software Engineering

RBGlobal

The Software Engineering Manager will lead a new Product Engineering team tasked with designing and building the next generation of Agentic AI-powered products for SmartEquip. While the core focus is product delivery, this team is pioneering SmartEquip’s AI-native ecosystem. Therefore, this highly technical, hands-on leader will architect the robust agent platform and backend microservices, while building the foundational end-to-end product platform required to scale, verify, deploy, secure, and monitor AI agents. - Key Responsibilities: - Product & Team Leadership: Manage multiple Product Engineering projects and a cross-functional engineering staff, including Python backend engineers, AI engineers, and Test Automation engineers. - Architectural Ownership: Architect, design, code, review and guide the team in developing scalable, efficient, and performant code for both the Agentic AI products, the backend microservices that power them, and the underlying platform required to scale and secure them. - AI-Native Development: Champion an AI-first approach by deeply integrating autonomous coding agents into the team's daily workflows and SDLC. Intelligent Systems: Lead the development of intelligent retrieval systems—from RAG pipelines to agentic architectures that reason across multiple data sources. - Pipeline & Deployment: Work closely with DevOps/SRE to plan, shape, and own the team's end-to-end delivery process, ensuring robust deployment and monitoring for production AI and microservice systems. - Strategic Tooling: Evaluate and select the right agentic frameworks (e.g., LangGraph, CrewAI, MCP, Google ADK, A2A, Agent Stack) and tools, partnering with SmartEquip technical leadership. We prioritize a deep foundational understanding of AI ecosystems and model behaviors over transient framework hype, ensuring engineers are efficient and proactive. - Verification & Security: Build automated test and verification pipelines tailored for AI systems, operating with an accuracy-first mindset to manage hallucination risks and ensure secure data access. - Skills and Experience: - Engineering Leadership: At least 3 years of experience managing engineers, with a proven ability to independently architect, problem-solve, and develop robust solutions. - Technical Stack: Polyglot full-stack background with in-depth, hands-on production expertise in Python. Proven experience building scalable backend microservices and RESTful APIs using frameworks like Django or Flask. - Modern Frameworks & Libraries: Highly knowledgeable in popular Python ecosystems, with specific expertise in data validation and API frameworks like Pydantic and FastAPI, which are critical for agent data structuring. - AI & Agentic Mastery: Deep experience with context engineering, designing agentic architectures, and building automated agent delivery pipelines. Proven ability to build, secure, and monitor production-ready retrieval systems (RAG). Extensive experience using and directing autonomous coding agents is expected. - Cloud Infrastructure: Experienced working with cloud platforms (GCP, AWS) and deploying AI workloads at scale, with specific preference for AI cloud platforms like Vertex AI. - Quality & Verification: Experienced with Test Automation and a strong understanding of how to build automated verification for AI outputs where accuracy has serious consequences. - Expected Outcomes (First 12 Months): - The first year will establish the technical and process foundation for SmartEquip's Agentic AI ecosystem. - Define the Standard: Build the AI SDLC and establish the Agentic AI development standards and guidelines for your team. - Build the Foundation: Architect and implement the end-to-end delivery platform needed to build, scale, verify, and secure our new AI agents and their corresponding services. - Deliver the Product: Successfully launch the MVP of SmartEquip's first Agentic AI product. - Operationalize AI: Establish a robust, AI-native CI/CD pipeline and monitoring system in close partnership with the SRE team. Ritchie Bros. (NYSE and TSX: RBA) Ritchie Bros. (NYSE and TSX: RBA) is a global asset management and disposition company, offering customers end-to-end solutions for buying and selling used heavy equipment, trucks and other assets in numerous industries including construction, transportation, agriculture, energy, oil and gas, mining, and forestry. Our mission is to create compelling business solutions for the world's builders to easily and confidently exchange equipment. Learn more about us at: https://www.ritchiebros.com/

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Blackbaud logo

Manager, Software Engineering - AI and Data Platform

Blackbaud

Blackbaud is a large, private company founded in 1981 to provide technology solutions to nonprofit organizations. The company helps its clients with fundraising, relationship manag

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Nordic Healthcare Group (NHG) logo

Manager, ERP Applications

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OtherRemoteTeam 201-500

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Job Closed
Cotiviti logo

Manager Data Engineering - AI

Cotiviti

Enabling a high-quality and viable healthcare system

OtherRemoteTeam 5,001-10,000H1B Sponsor

Overview We are seeking an experienced Manager, Engineering- AI to lead our data engineering team. This individual will play a crucial role in overseeing the development of strategic perspectives regarding IT architecture and business needs. The Manager of Engineering will develop and implement data architecture and engineering strategies leveraging innovations in AI while exemplifying strong software development experience when working in an Agile environment. This individual will provide guidance to employees in accordance with established policies and management directives. 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This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change. Qualifications - Bachelor’s degree or equivalent work experience - 7+ years of total data engineering/IT/Project Management experience out of which at least 2 years must be management experience. - 2+ years’ experience leading small to mid-size projects through application of Project Management methodologies and artifacts. - 4+ years’ experience with data sets, Hadoop, Spark and/or other data integration/ETL tools like databricks, AWS tech stack, snowflake etc - 2+ years of experience working on AI engineering concepts and tools like RAG, Prompt Engineering, Langchain, LangGraph etc - Familiarity with ML Ops and LLM Ops capabilities and tools like Datarobot - 2+ years of hands-on experience in software development and database management. - Proficiency in Microsoft Office Suite. Preferred Qualifications: - Experience with healthcare data preferably in a data operations role. - Experience working in an Agile environment. Cognitive/Mental Requirements: - Ability to communicate simple and complex messages to the team in a manner that is clear, persuasive, and sincere. - Ability to summarize complex and/or technical information into easy-to-understand pieces, distinguishing message delivery from analysis. - Ability to apply organizational, industry knowledge to facilitate process improvement that optimizes functional area to positively impact strategic initiatives of the department and organization. - Ability to win trust and confidence of team members even when dealing with unpopular decisions. - Ability to lead and motivate team through day to day as well as during unclear or challenging conditions. - Ability to provide big picture vision, align goals with larger department and organizational ones. - Ability to develop well rounded skill sets regarding business, technical and interpersonal skills. - Ability to adjust quickly to changing assignments, processes and people while identifying opportunities to further growth and development of self and processes. - Ability to proactively manage and resolve conflict, help team find a ‘win-win’ solution. - Ability to break down silos that impact cooperations and partnership. - Ability to value team members as individuals while embraces differences. - Ability to deploy variety of techniques to establish rapport, gain commitment from and adapt to the decision-making styles of executives, department leaders and outside groups. - Ability to accomplish goals by setting appropriate objectives and planning effectively while monitoring plans and adjusting as needed to keep plans realistic and focused. - Ability to prioritize tasks against business prioritize, effectively manage time against priorities to accomplish them and allocate resources affectively to meet deadlines. - Ability to make sound situational decisions even in absence of precedent or experience. Working Conditions and Physical Requirements: - Remaining in a stationary position, often standing or sitting for prolonged periods. - Repeating motions that may include the wrists, hands and/or fingers. - Must be able to provide a dedicated, secure work area. - Must be able to provide high-speed internet access / connectivity and office setup and maintenance. Pay Transparency: Base compensation ranges from $130,000.00 to $165,000.00. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti. For information about our benefits package, please refer to our Careers page. Since this job will be based remotely, all interviews will be conducted virtually. Date of posting: 3/3/2026 Applications are assessed on a rolling basis. We anticipate that the application window will close on 04/01/2026 but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

United States
Job Closed