Application Deadline: 04/21/2026 Address: VIRTUAL59 - REMOTE/TELETRAVAIL - ON - BMO Job Family Group: Data Analytics & Reporting About the Team BMO’s Applied AI team is responsible for building high‑performing, safe, and reliable AI systems that power real banking experiences. The Evaluations group within Applied AI develops the methods, datasets, and tooling used to measure quality, safety, and performance across the AI lifecycle. Working closely with product, engineering, and research partners, the team helps ensure evaluation signals are embedded into experimentation, deployment, and monitoring workflows. The group operates at the intersection of data science, machine learning, and responsible AI, enabling scalable and trustworthy evaluation of advanced AI systems. About the Role The Associate AI Evaluation Scientist is an individual contributor role focused on contributing to the data science execution of AI evaluations under the guidance of senior scientists and engineers. This role supports the development and application of evaluation methods, metrics, and datasets that inform model quality, product performance, and AI risk management. In this role, you will work hands‑on with machine learning models—particularly LLM‑based systems—helping to run evaluations, analyze results, and maintain evaluation workflows. You will gain experience translating evaluation standards into reusable code, collaborating with engineering partners, and communicating findings to technical stakeholders. This position is well suited for an early‑career data scientist who is excited to deepen their skills in applied ML evaluation, experimentation, and responsible AI practices. Key Responsibilities - Implement and run established evaluation methods for LLMs and ML systems, including performance, robustness, fairness, and safety‑related metrics. - Contribute to the creation, curation, and maintenance of evaluation datasets such as golden sets, challenge sets, and test corpora aligned with banking use cases. - Support the development and maintenance of evaluation pipelines, harnesses, and dashboards used in experimentation and model assessment. - Perform empirical analyses such as error analysis, metric comparisons, and basic statistical testing to surface model behavior and performance issues. - Assist with integrating evaluation results into experimentation workflows, model reviews, and deployment readiness checks. - Document evaluation methodologies, assumptions, and results to support reproducibility and team knowledge sharing. - Collaborate with senior scientists, engineers, and product partners to understand evaluation requirements and apply best practices. - Learn and apply responsible AI principles, including reproducibility, transparency, and risk‑aware evaluation. Qualifications - 1–3 years of experience in data science, machine learning, analytics, or a related field, including internships, co‑ops, or substantial academic projects. - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline. - Proficiency in Python and familiarity with data science libraries (e.g., pandas, numpy, scikit‑learn); exposure to PyTorch or TensorFlow is a plus. - Foundational understanding of statistics, model evaluation metrics, and experimental analysis. - Experience working with structured or unstructured datasets and writing clear, maintainable analysis code. - Interest in AI evaluation, model quality, safety, or responsible AI, with a desire to grow deeper technical expertise in this area. - Strong written and verbal communication skills, with the ability to explain analysis results to technical teammates. - Familiarity with LLMs, NLP, or ML experimentation workflows is an asset but not required. Salary: $67,200.00 - $124,200.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at https://jobs.bmo.com/ca/en. BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Role Description USPS is seeking an experienced Automation Specialist with strong automation skills to join a dynamic team. The ideal candidate will be responsible for designing, developing, and implementing AI-driven systems to automate complex business processes using Postal tools. This includes: - Robotic Process Automation (RPA) - Machine Learning (ML) - Natural Language Processing (NLP) The role demands expertise in: - System architecture - Workflow design - Writing code/scripts - Building processes using Postal tools in a hybrid on-prem Windows/Unix/Linux and cloud-based environment Candidates must be able to collaborate across CISO Security and CIO teams to: - Automate workflows - Ensure data integrity and accuracy - Support mission-critical operations Proven hands-on experience with the following is required: - AI/ML libraries - Low-code/no-code tools - Cloud platforms (AWS, GCP, Azure) - Microsoft Power Tools - Splunk - Databricks - SharePoint - Okta automation - ServiceNow - An RPA platform Occasional off-hours or weekend efforts may be needed for automation implementation, maintenance, upgrades, and support. Qualifications - 5+ years of experience specifically in automation/AI-related work - Proficiency in scripting, Python, AND (Java, OR R) - Experience with AI/ML libraries, low-code/no-code tools, Microsoft Power Tools, Splunk, Databricks, SharePoint, Okta automation, ServiceNow ticket generation, cloud platforms (AWS, GCP, Azure), AND a Robotic Process Automation (RPA) platform - Ability to analyze large datasets using multiple tools to uncover patterns for process optimization - Ability to analyze and troubleshoot complex data ingestion and parsing issues - Knowledge of Business Process Management (BPM) and workflow optimization - Bachelor’s degree in Computer Science, IT, a related field, OR 10 years of equivalent experience - Exposure to network security or cybersecurity - Must already have an active Secret clearance or Public Trust Requirements - Experience: 5+ years in automation/AI-related work - Programming: Proficiency in scripting, Python, AND (Java, OR R) - Technology Stack: Experience with AI/ML libraries, low-code/no-code tools, Microsoft Power Tools, Splunk, Databricks, SharePoint, Okta automation, ServiceNow, cloud platforms (AWS, GCP, Azure), AND a Robotic Process Automation (RPA) platform - Data Analysis: Ability to analyze large datasets and troubleshoot complex data issues - Process Management: Knowledge of BPM and workflow optimization - Education: Bachelor’s degree in Computer Science, IT, or related field, OR 10 years of equivalent experience - Security Experience: Exposure to network security or cybersecurity - Clearance Requirement: Active Secret clearance or Public Trust Benefits - Medical, Dental, and Vision Insurance - Holidays - Paid Time Off (PTO) - Life Insurance - Short Term Disability - Long Term Disability - 401(k) Plans - Career Development - Certifications - Training and Development

• Collaborate to define and lead the agency’s AI strategy and roadmap, ensuring alignment with business goals and market opportunities. • Build and scale the AI service offerings, tools, and frameworks. • Identify emerging AI technologies and evaluate their potential applications within client use cases and industries. • Engage with a diverse set of users to identify and deliver AI centric solutions that drive operational efficiency. • Partner with agency leadership to position the agency as a thought leader in AI-enabled marketing solutions. • Support client teams in integrating AI into project work. • Lead pilot initiatives and proof-of-concepts that demonstrate AI-driven value. • Establish success metrics and run post-implementation reviews to iterate quickly. • Develop internal best practices, governance, and ethical AI guidelines. • Partner with growth and sales teams to incorporate AI solutions into new business opportunities.

Company Description At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and WD_BLACK™. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, WD is fueling a brighter, smarter future. Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES This role is core to Western Digital’s AI Datacenter growth strategy, sitting at the intersection of AI infrastructure build‑outs, cloud platforms, High Performance Computing (HPC), and data‑intensive enterprise environments. The Senior Sales Manager, AI Datacenter, Cloud & HPC is a quota‑carrying individual contributor responsible for translating strategic platform wins and AI datacenter pursuits into scalable, repeatable revenue across the U.S. channel ecosystem. This role is designed for a seller who already operates at the level of: - Architecture‑driven solution selling - Cloud and AI infrastructure GTM - Multi‑party, ecosystem‑led deals It requires comfort selling alongside Business Development, technical leaders, SIs, OEMs, and cloud partners, while maintaining rigorous ownership of forecasting, pipeline, and close execution. Organizational Alignment - Reports to: Director of Channel Sales – Datacenter & Enterprise - Works in close partnership with: Director of Business Development – Storage Platforms & AI Datacenter This pairing intentionally mirrors the market: - Business Development: new customer acquisition, AI platform attach, ecosystem strategy, and top‑of‑funnel creation - Senior Sales Manager (this role): commercial execution, partner‑led GTM, deal progression, and revenue realization Together, these roles pursue the same AI, cloud, and HPC segments, but with a clear separation of strategic creation vs. sales execution. What You Will Own Revenue, Quota & Execution Leadership - Own and deliver quota‑based revenue for WD Datacenter Hard Drives and Storage Platforms across AI, cloud, HPC, and enterprise workloads. - Drive complex, multi‑stakeholder deals from qualification through negotiation and close. - Convert design‑wins, reference architectures, and platform attachments into predictable revenue streams. - Build territory and account plans aligned to: - AI datacenter buildouts - Neo‑Cloud expansion - Cloud service providers (CSPs) and GPU cloud ecosystems - HPC modernization initiatives Channel‑Led GTM & Ecosystem Selling - Execute through systems integrators, OEMs, distributors, and cloud‑adjacent service providers. - Lead co‑sell and joint pursuit motions with partners aligned to AI infrastructure and cloud consumption models. - Work closely with Channel Marketing and BD to: - Drive enablement on AI‑relevant architectures - Support GTM campaigns and partner readiness - Influence partner prioritization of WD platforms - Position WD as a strategic component of AI and cloud infrastructure, not a commodity supplier. Datacenter HDD, Platform & Capacity‑Led Solutions - Lead sales for WD’s Datacenter HDD portfolio, including high‑capacity, SMR, and AI‑data‑lifecycle‑aligned solutions. - Position HDDs as foundational infrastructure supporting: - Tiered storage - Object and data lake architectures - Checkpointing, training data, inference data, and archival - Sell Storage Platforms as part of validated architectures, not stand‑alone products. - Support design‑in, POCs, and customer evaluations with BD and technical teams. Software‑Defined Storage & Architecture‑Led Selling - Confidently position WD hardware within software‑defined storage and cloud‑adjacent ecosystems, including: - Object storage - Distributed file systems - Data lake and AI data platforms - Translate AI, ML, and HPC workload requirements into clear hardware + SDS alignment. - Support adoption of reference architectures, blueprints, and validated designs. - Help partners convert architectural value into repeatable sales motions. Cross‑Functional & Executive Engagement - Operate comfortably alongside: - Business Development leaders - Partner executives - Customer infrastructure and cloud teams - Serve as a trusted commercial counterpart in advanced AI datacenter and cloud pursuits. - Represent WD at industry events, partner forums, and customer briefings tied to active deals. Forecasting, Pipeline & Operating Discipline - Maintain high‑confidence pipeline, forecast accuracy, and deal hygiene. - Track design‑win stages, platform adoption, and revenue milestones. - Use data‑driven insights to prioritize partners, opportunities, and investment. Qualifications REQUIRED - 10+ years in datacenter, cloud, AI infrastructure, or enterprise technology sales. - Proven success in quota‑carrying roles managing complex, consultative sales cycles. - Experience working closely with: - Business Development - Strategic partnerships - GTM and ecosystem teams - Strong channel orientation with SIs, OEMs, distributors, and cloud‑aligned partners. PREFERRED - Direct exposure to AI infrastructure, HPC, or cloud data platforms. - Experience selling solution stacks (hardware + software + services), not point products. - Comfort engaging with customers and partners on: - Cloud infrastructure models (IaaS, hybrid, GPU cloud) - AI data lifecycle requirements - Storage economics and TCO at scale - Background working with: - Large Sis, OEMs, ODMs, VARs, VADs - Storage, cloud, or AI ecosystems - Ability to articulate GTM strategy, not just the deal. SKILLS - Architecture‑led solution selling - Cloud and storage fluency - Strong partnership and co‑sell instincts - Strategic account planning - Executive‑level communication - Forecast rigor and operating discipline - Ability to operate at the intersection of Sales and Business Development What Makes This Role Compelling - You are selling into the fastest‑growing segment in infrastructure. - You influence both strategy and execution, not just bookings. - You work alongside best‑in‑class BD talent targeting AI datacenters, cloud providers, and hyperscale‑adjacent customers. - Strong performers naturally progress into broader GTM, strategic sales, or BD leadership roles. Additional Information WD is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal” poster. Our pay transparency policy is available here. WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [email protected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 07/21/2026 (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. #LI-VV1 Compensation & Benefits Details - An employee’s pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. - The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. - If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. - You will be eligible to be considered for bonuses under either WD’s Short Term Incentive Plan (“STI Plan”) or the Sales Incentive Plan (“SIP”) which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to WD's Standard Terms and Conditions for Restricted Stock Unit Awards. - We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the WD Savings 401(k) Plan. - Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [email protected]. - Job Type (exemption status): Exempt position - Please see related compensation & benefits details below - Salary Range: 170,600.00-227,400.00 - Business Function: Enterprise Sales - Work Location: San Jose Great Oaks Headquarters--LOC_WDT_USCA23 - Location (Secondary): Colorado Springs Federal Drive Office--LOC_HGST_KJB