דרושים United States, Castle Rock

What you’ll achieve

As an Inside Sales Account Executive 3, you will be responsible for driving sales for our ground-breaking products by building positive relationships with customers through digital communication. You will own the brand of Dell Technologies, ensuring every customer interaction is tailored and outstanding.

You will:

• Gain new accounts and seek opportunities in your account territory
• Manage small- to medium-sized accounts in a full cycle sales capacity
• Stay informed of industry trends to help resolve specific market challenges
• Recommend business solutions supported with data
• Work with customers and partners to devise new and innovative solutions to business opportunities
• Identify, evaluate, and recommend alternative business solutions to customers and partners
• Use in-depth knowledge of company technology, products and services to become a trusted business advisor for customers and partners

Essential Requirements

• Ability to articulate the value proposition of our product/service offerings
• Potential to use multiple sales tools simultaneously to complete sales transactions
• Ability to establish relationships with customers and partners
• Maintain all sales systems for management accountability and compliance
• Desire to win, using your sales skills to achieve all assigned sales goals

• Bachelor’s degree
• 4 or more years of sales experience including technology

As a Data Science Consultant, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also collaborate with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• Provide technical and strategic guidance to the team and executive stakeholders on complex AI/ML initiatives

• Design, develop, and deploy scalable Large Language Model (LLM) and Generative AI systems in real-world, production-grade environments

• Build robust, end-to-end AI pipelines, including data collection, preprocessing, model training, evaluation, deployment, and post-deployment monitoring

• Apply traditional machine learning approaches to solve predictive modeling and classification problems across both structured and unstructured datasets

• Collaborate closely with data engineers, MLOps specialists, and product managers to align AI solutions with business goals and continuously improve model performance, reliability, and user trust through experimentation, testing, and feedback-driven iteration

Essential Requirements

• Proven experience communicating complex technical concepts to both technical and non-technical stakeholders, and influencing product direction.

• Strong programming skills in Python , with hands-on experience using ML/AI frameworks such as PyTorch , TensorFlow , or similar.

• Self-driven and proactive, with the ability to own and lead end-to-end projects independently.

• Demonstrated ability to clearly explain statistical and algorithmic techniques at varying levels of technical depth.

• Experience building and deploying large-scale, production-ready machine learning systems and developing agentic AI solutions, such as tool-using agents, autonomous task workflows, or reasoning-based systems.

Desirable Requirements

• Bachelor’s degree with 8+ years of industry experience, or Master’s degree with 6+ years of experience in a data science or machine learning role or equivalent experience

• Familiarity with building GenAI applications that enhance developer productivity , code generation, or documentation assistance, designing and optimizing prompts and templates for LLM-based applications, LLM frameworks such as LangChain , LlamaIndex , or similar open-source tools, prompt engineering, retrieval-augmented generation (RAG), or autonomous agents powered by LLMs.

Our customers’ system requirements are usuallyhighly complex. Bringing together hardware and software systems design, Systems Development Engineeringat the verycutting edgeof technology to meet them. We design and develop electronic and electro-mechanical or systems-orientated products, conduct feasibility studies on engineeringand prepare installation, operation and maintenance specifications and instructions.proud to deliver programs and products to the highest quality standards, on time and within budget.

Senior System Development Engineeron our

Whatyou’ll

As a Senior Systems Development Engineer specializing in Software Quality Engineering, you will design and implement robust test strategies, develop automation frameworks, and ensure the highest quality standards for complex systems.

You will:

• Develop and execute comprehensivetest strategiesfor complex systems
• Design and implementautomation frameworksto improve test coverage andefficiency
• Collaborate with development teams to integratequality practices into CI/CD pipelines
• Prepare documentation for inspection/testing procedures and ensure compliance with quality standards
• Analyze test results,identifydefects, and drive continuous improvement in system reliability

Essential Requirements

• 5-8years of professional experience in Python development with strong coding and debugging skills
• 2–3 years of hands-on experience in AI/ML development, including at least 1 year focused on agentic or autonomous systems
• Expertisein Python and familiarity with leading AI frameworks and tools (e.g.,LangChain,AutoGPT, OpenAI API, Hugging Face)
• Demonstrated success in designing, building, and deploying AI solutions for real-world applications

Desirable Requirements

• Bachelor’s degree
• Ability to lead, motivate and direct a workgroup

As ayou will identify new growth areas, technologies and emerging product/service opportunities. You will conduct in-depth market analysis to optimize existing products/solutions and build next generation products, partnering closely with the Engineering and Product Management teams to build a product road map and align product strategies for the business.
You will:

• Collaborate with Business stakeholders and Senior Engineers on design/creation/positioning for highly available and scalable products
• Use Lean Software Development processes such as Agile, Scrum and Kanban
• Author strategy docs, white papers, market research and vision documents along with user stories for current and future products
• Present strategic product communications across multiple stakeholder organizations
• Manage the entire product life cycle, prototyping and testing new features and changes to our product and processes

Essential Requirements

• 15+ years of related experience
• Experience in defining long-term product strategy and vision
• Business and entrepreneurial acumen with strategic and critical thinking
• Strong technical acumen with a history of building/delivering enterprise products and experience defining projects, collecting requirements, writing detailed functional specifications, coordinating efforts to scope and scheduling and deploying new feature sets
• Experience in writing product and customer requirements and using qualitative and quantitative data to prioritize decision-making

Desirable Requirements

• Bachelor’s Degree
• Strong technical skills in IT, datacenter, edge computing systems, Cloud, compute, storage, networking and security

Dell is committed to fair and equitable compensation practices. The salary range for this position is $208,250.00 - $269,500.00.

11 October 2025

This job is responsible for engaging clients in the lobby to educate and assist with conducting transactions through self-service resources, such as mobile banking, online banking, or ATM. Key responsibilities include accurately and efficiently processing cash transactions for clients as needed. Job expectations include having deep conversations with clients to gain in-depth knowledge of the financial and life priorities and connecting clients to solutions that meet the financial goals.

Responsibilities:

• Executes the bank's risk culture and strives for operational excellence

• Builds relationships with clients to meet financial needs

• Follows established processes and guidelines in daily activities to do what is right for clients and the bank, adhering to all applicable laws and regulations

• Grows business knowledge and network by partnering with experts in small business, lending, and investments

• Manages financial center traffic, appointments, and outbound calls effectively

• Drives the client experience

• Manages cash responsibilities

Required Qualifications:

• Is an enthusiastic, highly motivated self-starter with a strong work ethic and intense focus on results, acting in the best interest of the client

• Collaborates effectively to get things done, building and nurturing strong relationships

• Displays passion, commitment and drive to deliver an experience that improves our clients' financial lives

• Is confident in identifying solutions for new and existing clients based on their needs

• Communicates effectively and confidently and is comfortable engaging all clients

• Has the ability to learn and adapt to new information and technology platforms

• Is confident in educating clients on how to conduct simple banking transactions through self-service technologies (for example, ATM, online banking, mobile banking)

• Applies strong critical thinking and problem-solving skills to meet clients' needs

• Will follow established processes and guidelines in daily activities to do what is right for clients and the bank, adhering to all applicable laws and regulations

• Efficiently manages time and capacity

• Focuses on results while acting in the best interest of the client

• Must be able to work weekends and/or extended hours and travel to any financial center location within a reasonable distance​

Desired Qualifications:

• Experience in financial services and knowledge of financial services industry, products and solutions

• One year of demonstrated successful sales experience in a salary plus incentive environment with individual sales goals

• Six months of cash handling experience

• Bachelor's Degree or business-relevant Associate’s Degree such as business management, business administration or finance​

Skills:

• Adaptability

• Business Acumen

• Customer and Client Focus

• Oral Communications

• Problem Solving

• Account Management

• Client Experience Branding

• Client Management

• Client Solutions Advisory

• Relationship Building

• Business Development

• Pipeline Management

• Prospecting

• Referral Identification

• Referral Management

High School Diploma / GED / Secondary School or equivalent

As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
•Collaborate with internal and external teams to understand customer requirements
•Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights
•Develop and drive testing of algorithms efficacy for differing analytical use-cases
•Performs end-to-end steps involved in model development while establishing subject-matter expertise
•Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases• 8 to 12 years of related experience
• Solid machine learning and statistical skills
• Solid Programming skills in Python (or any other language)
• Good understanding of business environment and industry trends
• Good communication and problem-solving skills and being customer focused
• Domian knowledge and understanding of Pricing industry
• Knowledge of industry LLMs, Agentic AI would be a plus
• Skilled at data storytelling—turning analytical findings into business insights and presenting them effectively to diverse audiences