Role Description We are hiring an engineering manager to lead a multidisciplinary team working across applied AI/ML engineering, data science, infrastructure, and production data systems. This manager will directly support senior and principal-level individual contributors, including Applied AI/ML Engineers and Data Scientists, and will be responsible for helping the team execute effectively in a fast-changing technical environment. This is not a traditional people-management role where the operating model is already fully defined. Engineering processes, delivery norms, quality expectations, AI/ML evaluation practices, and team workflows are all evolving rapidly as applied AI changes how software and data products are built. The right person will be energized by that uncertainty. They will bring structure without creating bureaucracy, help the team adapt quickly, and create an environment where strong technical generalists can do their best work. This person will manage and work with teams operating across Canada, India, Europe, and North America. They must be highly effective in distributed, asynchronous collaboration and able to build trust, clarity, and momentum across time zones. Applied AI and data science teams are operating in a period of major change. The tools, processes, quality standards, and delivery expectations that worked for traditional software or analytics work may not be sufficient for modern AI-enabled systems. This role is critical because the team needs a manager who can help define new ways of working while still delivering meaningful outcomes. The right manager will help the team move through uncertainty with confidence: creating enough structure to make progress, enough flexibility to adapt, and enough curiosity to keep learning as the field changes. Responsibilities - Manage and grow a team of senior and principal-level engineers and data scientists working on applied AI/ML-enabled systems, data products, and platform capabilities. - Create clarity in ambiguous technical and organizational environments by helping the team define priorities, execution plans, decision points, and success criteria. - Build operating rhythms that work across India, Europe, and North America, including effective async communication, meeting discipline, handoff practices, and documentation norms. - Partner closely with senior technical ICs to translate strategy and ambiguous opportunities into scoped initiatives, milestones, and measurable outcomes. - Help the team navigate rapidly changing AI/ML engineering practices, including evolving norms around prototyping, evaluation, production readiness, quality, governance, and operational ownership. - Drive continuous improvement in team processes without assuming that legacy engineering models are always the right fit for AI-driven work. - Support cross-functional execution across engineering, data science, product, analytics, infrastructure, quality, and business stakeholders. - Coach team members on communication, prioritization, technical judgment, stakeholder management, and working effectively across distributed teams. - Identify risks, dependencies, bottlenecks, and unclear ownership early, then help the team resolve them pragmatically. - Foster a team culture grounded in curiosity, adaptability, technical rigor, accountability, and psychological safety. - Balance delivery pressure with sustainable team health, ensuring the team can move quickly without losing quality or focus. - Recruit, onboard, and develop strong generalist technical talent capable of working across AI/ML, infrastructure, data systems, quality, and execution. Qualifications - Experience managing technical teams in engineering, applied AI/ML, data science, data platforms, or adjacent domains. - Ability to lead senior and principal-level ICs without needing to be the deepest expert in every area. - Strong understanding of modern software, data, and AI/ML delivery practices, with enough technical depth to ask good questions, identify risks, and facilitate sound decisions. - Comfort operating in environments where processes are still forming, changing, or being actively redefined. - High adaptability and curiosity about how AI/ML is changing engineering practice, team structure, delivery models, and quality expectations. - Strong cross-functional leadership skills, especially in ambiguous initiatives involving engineering, data science, infrastructure, QA, product, and business stakeholders. - Excellent written communication, including planning docs, status updates, decision summaries, stakeholder updates, and async team communication. - Excellent verbal communication, including facilitation, coaching, conflict resolution, and executive or cross-functional updates. - Experience working with globally distributed teams, especially across India, Europe, and North America. - Strong project and execution management skills, including planning, dependency tracking, prioritization, and risk management. - A generalist mindset and willingness to engage across areas such as DevOps, AWS/cloud operations, data systems, infrastructure, quality, and delivery planning. - Demonstrated ability to create team focus and accountability without over-prescribing solutions or slowing down strong ICs. The Ideal Candidate - The team has clear priorities, strong execution habits, and a shared understanding of what matters most. - Senior and principal ICs feel supported, challenged, and empowered rather than micromanaged. - Distributed collaboration improves across Canada, India, Europe, and North America. - The team adapts quickly as applied AI engineering practices evolve. - Delivery becomes more predictable without reducing experimentation, curiosity, or technical ambition. - Engineering quality, communication, and operational ownership improve over time. - The manager becomes a trusted partner to both technical ICs and cross-functional stakeholders.

Role Description As an Engineering Manager - Firmware & Board Support Packages (BSP) for John Deere Intelligent Solutions Group located in Fargo, ND, or Urbandale, IA, you will: - Lead a team focused on the development, integration, and sustainment of Board Support Package (BSP) and low-level platform software capabilities enabling core embedded systems across Display, Comms, and Automation/Autonomy platforms. - Drive delivery of foundational software that ensures reliable hardware-software integration, enabling scalable and high-performing embedded systems. - Ownership of platform enablement activities such as new board bring-up, silicon integration, performance tuning, power management, and hardware validation, along with ensuring upstream support and maintainability of BSP and HW/SW tight couplings. - Manage and develop engineering talent and provide technical guidance across the team for delivery of critical tech stack solutions. - Plays a critical part in aligning BSP strategy with platform roadmaps, enabling reuse across high compute embedded products and supporting consistent delivery across global field seasons and hardware configurations. VISA Sponsorship is NOT available for this position. Qualifications - Five or more years of R&D experience that include software as part of the solution. - Solid understanding of system-level architecture for embedded or edge computing platforms. - Ability to coordinate across platform and OS-level development efforts. - Strong communication skills and experience collaborating with hardware, software, and product teams. Requirements - Experience with Linux, BSP development, system integration, and low-level debugging. - Experience with system-level software components such as connectivity stacks, logging/telemetry systems, OS services or platform diagnostics. - Working knowledge of development environments and tooling, including compilers, build systems, cross-compilation, and debugging tools. - Proven experience leading engineering teams and delivering complex, cross-functional software solutions. - Experience managing product teams or various individual contributors. Education - A bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, or similar engineering or IT field is required. Others may apply. Benefits - Flexible work arrangements - Highly competitive base pay - Savings & Retirement benefits (401K and Defined Contribution) - Healthcare benefits with a generous company contribution in the Health Savings Account - Adoption assistance - Employee Assistance Programs - Tuition assistance - Fitness subsidies and on-site gyms at specific Deere locations - Charitable contribution match - Employee Purchase Plan & numerous discount programs for personal use - Vacation and Holiday Pay - $138,144.00 - $207,216.00 + Benefits Follow this link to learn more about our Total Rewards Package: Total Rewards Package

Role Description The Manager, Applications & Software Engineering provides leadership to the Application & Software Engineering teams to ensure that the application environment supports required business capabilities. Responsible for the management of software engineering team(s) responsible for creating desired functionality to assigned content, products or services. Manages the development, testing, implementation, and support of software that provides robust technical infrastructure and/or software applications used by business units. This position has responsibility for the management of staff and the project workload for the assigned domains, products, or services. Qualifications - 5+ years of experience in software development / systems engineering / design - Bachelor’s degree or equivalent in MIS, Computer Science or related field - 3+ years of progressive management experience (preferred) Requirements - Experience implementing package software solutions - Proven experience through the entire life cycle of software development - Ability to lead, motivate, and develop others - Ability to collaborate with and influence others - Strong written, verbal, and presentational communication skills - Ability to understand and analyze complex business problems in order to define and develop technology-based solutions - Ability to work independently and make decisions within the scope of responsibility - Experience with agile development Accountabilities - Coaches team on problem resolution to prevent roadblocks - Summarizes escalated issues or recurring problems and participates in the development of improved processes and procedures - Facilitates discussions with cross functional partners to align and move projects forward - Communicates and collaborates with leadership and vendor executives on status, issues and decisions to influence outcomes - Translates technology concepts into clear, digestible business appropriate language; creates images, graphics or charts that provide exceptional clarity or add impact to otherwise complex material and package presentations concisely for leadership - Advises team on approach and interactions with partners to drive decisions - Participates in tactical negotiations - Leads team in making critical decisions that define the direction and impact the related business units - Commits existing and new resources to meet operating objectives - Escalates and provides recommendation on issues to Leadership - Subject to operating plans and policies set within the business unit(s) Additional Responsibilities - Sets project schedules, designing project parameters and monitoring tasks - Define and develop tasks among team members within an agile environment - Translates technical roadmap into actionable plan items - Reviews and adjusts work content and flow - Develops and implements policies, procedures and standards for department - Contributes to the development of new principles and concepts - Develops and implements process improvements - Conducts technical presentations for Management - Commits time, focus and energy on the development, coaching and performance feedback for each Associate - Funnels organizational communication and direction to the team - Advocates for team by moving decisions forward and eliminating barriers - Identifies and selects the right talent to support the business needs - Responsible for the delivery of excellence in quality and service levels - Drives continuous improvement efforts - Facilitates the definition and approval of service descriptions, service-level agreements, and operation-level agreements for the services owned - Reviews key metrics and reports to assess and enhance overall service performance Benefits - Commitment to cultivating a workplace culture where every associate feels valued, supported, and empowered to thrive - Focus on well-being and shared success through meaningful work, recognition, and opportunities for growth - Embrace of diversity including age, race, color, ethnicity, gender, gender identity, sexual orientation, national origin, education, genetics, veteran status, disability, religion, beliefs, opinions and life experiences Company Description TRIMEDX is an Equal Opportunity Employer. Drug-Free Workplace. Because we are committed to providing a safe and productive work environment, TRIMEDX is a drug-free workplace. Accordingly, Associates are prohibited from engaging in the unlawful manufacture, sale, distribution, dispensation, possession, or use of any controlled substance or marijuana, or otherwise being under the influence thereof, on all TRIMEDX and Customer property or during working/on-call hours.

Role Description Own & Lead Product Quality - Quality Strategy & Vision: Define, implement, and evolve the comprehensive QA strategy, test frameworks, and quality metrics across all product lines. - End-to-End Ownership: Take ultimate accountability for the quality of releases, ensuring software is scalable, secure, and high-performing. - Cross-Functional Collaboration: Partner closely with Product Management, Engineering, and DevOps to embed quality standards early in the SDLC (Shift-Left approach). - Risk Management: Identify, assess, and mitigate product quality risks before they impact production. Drive AI Transformation & Innovation - AI Tool Integration: Research, evaluate, and implement cutting-edge AI/ML-driven testing tools and generative AI utilities to optimize test case generation, execution, and maintenance. - Team Upskilling: Act as a mentor and change agent, designing training pathways to help traditional manual and automation QA engineers transition into AI-augmented testing roles. - Smart Automation: Evolutionize existing automation frameworks by incorporating predictive analytics, self-healing test scripts, and intelligent bug-clustering. - Efficiency Metrics: Establish baseline metrics to measure the ROI, speed, and accuracy improvements gained through AI adoption. People & Team Leadership - Mentorship & Culture: Foster a high-performance culture rooted in continuous learning, innovation, and psychological safety. - Resource Planning: Manage headcount, budget, and resource allocation across multiple agile squads. - Performance Management: Set clear goals, conduct regular performance reviews, and guide career development for QA leads and engineers. Qualifications - 10+ years of experience in Software Quality Assurance, with at least 5+ years in a dedicated people management or leadership role. - Proven track record of owning product quality end-to-end for scalable SaaS, cloud, or enterprise applications. - Demonstrated experience leading a team through a significant technological pivot (e.g., manual-to-automation or automation-to-AI transition). - Technical Skills: - Deep expertise in modern automation frameworks (e.g., Playwright, Selenium, Pytest) and CI/CD pipelines (Jenkins, GitLab). - Strong conceptual and practical understanding of how Generative AI, LLMs, and ML tools can be applied to the testing lifecycle. - Solid grasp of coding/scripting languages (Python, JavaScript, or Java). - Soft Skills: - Change Management: Exceptional ability to guide teams through organizational and technological shifts with empathy and clarity. - Strategic Thinker: Ability to balance long-term AI innovation with the daily demands of product shipping. - Communication: Crisp and compelling communication skills, capable of explaining complex AI concepts to stakeholders and engineering teams alike. Benefits - Opportunity to pioneer the future of QA in a forward-thinking environment. - Competitive salary, equity package, and comprehensive benefits. - Dedicated budget for AI tools, training, and professional development. - Flexible/hybrid work environment. Compensation Disclosure 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/commissioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. $185,000.00 - $298,000.00/yr Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes