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Job Description Overview At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: Minimum hourly UNION pay and sign-on bonus up to $7,000 DOE!!!, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: UNION Benefits, • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities JOB SUMMARY This position is responsible to assist in the repair and overhaul equipment, refrigeration, heating and ventilation equipment to ensure customer needs are met efficiently, accurately and on-time. ESSENTIAL DUTIES AND RESPONSIBILITIES • Provides service to the customer base by repairing and overhauling equipment, such as compressors, water pumps, air handlers, electrical and mechanical control devices in a safe, efficient and timely manner that exceeds customers’ expectations, • Provides general repair work on refrigeration, heating and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors in a safe and timely manner., • Provides preventative maintenance activities for customers by diagnosing equipment malfunction and any operating deficiency of the mechanical equipment to ensure quality work performance for the customer base., • Provides department support by processing job tickets, work orders to the necessary department in a timely manner., • Provides necessary training to new or less qualified technicians as needed., • Perform work on minor construction and remodeling projects including startups of new installations., • Drives company vehicle in a safe manner., • Performs other related duties and projects as assigned by management. Qualifications • High school diploma/GED., • EPA certification., • Certification from an accredited vocational-technical or trade school a plus., • Good driving record., • Knowledge of commercial refrigeration, ice machines, gas furnaces, and electrical components., • Working knowledge of single systems, parallel rack systems, display cases and walk-in boxes., • 5-7 years’ experience in commercial refrigeration, HVAC, ice machines, gas furnace and electrical required., • Experience working on refrigeration equipment in convenience and supermarket stores., • Ability to efficiently troubleshoot and repair computer controls and commercial refrigeration equipment., • Good mechanical aptitude skills., • Good communication skills and the ability to build strong relationships with customers, coworkers and management., • Must be able to lift up to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time.

Job Description WHO IS INDUSTRIAL METAL SUPPLY? IMS is the only metal distributor that can service manufacturers, fabricators and job shops to contractors, maintenance departments and hobbyists all within hours. For the past 77 years we have been constantly finding ways to save time and money for all our clients. IMS provides custom cut metals for multiple industries including Aerospace; Energy; Semiconductor; Transportation; Construction; Medical Device, and Mining. Our inventory is massive, quality standards unmatched, and our turn-around time is in a league of its own. JOB SUMMARY The Machine Saw Operator will safely operate forklifts, side loaders and other industrial equipment to move raw metal materials from inventory to metal-cutting cells. This is a great opportunity for someone with material handling with entry level machine operation experience to learn and become proficient with various saw cutting machines (including plate, band and shear industrial saws). CORE JOB DUTIES • Ensures orderly distribution of products by pulling orders from inventory, delivering production materials and supplies to other cells, and staging finished product for distribution., • Inspect cut material for accuracy and defects using measuring devices (calipers, micrometers, pin-gauges, etc.), • Contributes to the orderly operation of stock and/or materials storage area., • Maintains inventory by identifying, labeling, and keeping materials and supplies in stock, recording location of inventory, and reporting shortages.QUALIFICATIONS, • High School Diploma or GED (preferred), • Basic math and mechanical skills, • Experience with measurement hand tools such as micrometers and calipers, • 1 + years’ experience operating a forklift, • 1 + years' experience working on a saw machine, or other industrial machinery, • 1 + year of experience working in a warehouse, production, distribution or manufacturing environment, • Read, write, and speak in English, • Experience in the metal cutting/distribution industry is a plus, • Ability to lift up-to 50 lbs. BENEFITS & PERKS: As an IMS employee, you can expect a comprehensive Health and Wellness Benefits program including the following: • PTO: Starts accruing on your first day with the option to either use these as days off or request a vacation payout for some unused time., • Medical: Three Anthem Plans to choose from, • Dental: Choose from Sun Life HMO or Guardian Dental PPO, • Vision: Coverage through EyeMed, • Tax Savings Accounts: HSA (for qualified plans), FSA, Limited FSA, Commuter, • 401(k) with matching through Fidelity, • Company Paid Benefits: Basic Life and AD&D, Short Term Disability, Employee Assistance Program (EAP), Benefit and Pharmacy Advocacy access., • Voluntary (Employee Paid) Benefits: Life and A&D, Long Term Disability, Pet Insurance, Accident Insurance, Critical Illness Insurance, Hospital Indemnity LIFE AT IMS The Company strongly believes that the more diverse our team, the better our work will be. We are committed to equal opportunity employment and celebrate inclusion in all circumstances. As an employee, you can expect: • A supportive, inclusive atmosphere on a team that values your contributions., • An attractive and competitive compensation package., • Opportunities for growth and development and offerings from our HR/People Resources team and Learning and Development program., • In-office events, lunch and learns and more., • A generous and well-rounded benefits program featuring Vacation, Sick Leave, comprehensive medical benefits, 401k with company match, and much more. Compensation Disclaimer: The salary range listed for this position reflects the potential earning range for the role. Starting compensation is determined based on a variety of factors, including relevant experience, skills, qualifications, education, and internal equity. Not all candidates will be hired at the top of the posted salary range. Monday through Friday: 7:00 am to 3:30 pm

Job Description About the Opportunity: Our client, a leading precision machining company based in San Jose, CA, is seeking a talented Senior CNC Mill Set Up Machinist to join their dynamic team. Specializing in serving the aerospace, defense, and technology sectors, our client is renowned for machining both conventional and exotic materials while emphasizing quality, safety, and advanced CNC capabilities. This role promises an exciting opportunity for the ideal candidate to further hone their expertise in a cutting-edge environment and make significant contributions to innovative manufacturing processes. Responsibilities & RequirementsResponsibilities Set up and operate CNC mills independently to produce high-quality, defect-free parts within required timelines. Machine complex parts using various materials while optimizing speeds, feeds, and tooling. Work closely with programming teams to set up and validate new CNC programs. Operate advanced CNC controls, including macro functions, and edit G-code according to company standards. Apply expertise in fixture and workholding design, cutting-tool selection, MDI, and manual machining. Inspect completed parts to print tolerances and ensure compliance with GD&T requirements. Troubleshoot machine and processing issues to minimize downtime and maintain production flow. Estimate job durations and accurately track labor, cycle times, and part counts. Follow all safety, quality, defect-reporting, confidentiality, and standardized tooling requirements. Maintain a clean and organized work area while actively participating in continuous improvement initiatives. Mentor and support less-experienced team members by sharing technical knowledge. Requirements High school diploma or GED with 3–5 years of relevant CNC machining experience, or an equivalent combination of education and experience. Ability to read and interpret engineering drawings, safety procedures, operating manuals, and work instructions. Strong knowledge of geometry, trigonometry, fractions, and mathematical proportions. Proficiency with Microsoft Office applications. Strong written and verbal communication skills with a dependable, quality-focused, and leadership-oriented approach. Demonstrated ability to set up and operate CNC mills independently, including advanced G-code, macro programming, and cutting-tool selection. Strong troubleshooting skills with a commitment to safety, quality, and production standards. Ability to lift or move up to 50 pounds and work effectively in a physically demanding manufacturing environment. Benefits & Perks Competitive pay of $30–$40 per hour. Supportive and innovative work environment. Opportunity to work with advanced CNC technologies. Direct impact on aerospace, defense, and technology manufacturing. Opportunities for professional growth and continuous learning. Work-life balance in a disciplined and quality-driven manufacturing environment. Why Apply Through Total Aviation Staffing? Total Aviation Staffing connects aviation professionals with top-tier opportunities across the industry. Whether you’re looking for roles in: Commercial Aviation – Passenger airlines, cargo operations, and aircraft leasing Business & General Aviation – Corporate jets, charter services, and private aviation MRO & Aftermarket Services – Aircraft maintenance, repair, overhaul, and parts distribution Aerospace & Defense – Military aviation, space systems, and defense programs Aviation Technology & Manufacturing – OEMs, avionics, propulsion, and emerging technologies Even if this role isn’t the perfect fit, applying with us gives you access to multiple career opportunities that may not be publicly advertised. Work with top companies in aviation and aerospace. Get priority access to multiple job openings. Receive expert career guidance from specialized aviation recruiters. Apply today to take the next step in your aviation career.

Job Description Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The DRAM Development Lab (DDL) is part of Samsung's Memory Business Unit, the industry's technology and volume leader in DRAM, HBM and NAND Flash. DDL's vision is to solve key problems of Cloud & Data center by developing the new technology for memory and storage. The SOC team within DDL focuses on the development of silicon solutions such as Custom HBM base die, AI accelerators. We are an integral part of Samsung's strong R&D focus & lab innovation engine. We work closely with development teams to bring feature innovation to product roadmaps. Come join the team that is creating new computing system architectures needed to support emerging machine learning applications, data analytics and edge computing as a Director, Design Verification. You'll focus on enhancement of memory and storage capability by developing prototype and production Job: 42926 Location: Daily onsite presence in San Jose HQ location 5 days week What You'll Do In this role, you will be responsible for the end-to-end verification of SoCs. You will manage a highly capable team of engineers driving the first-pass silicon success. • Define and implement SoC verification strategy and methodology., • Lead the team to successful verification signoffs., • Plan and manage resource over multiple concurrent projects., • Participate in defining & enhancing development milestones and flows for SoC projects., • Work closely with Architecture, Design, FW, Validation counterparts to align on verification requirements and targets., • Provide support in post silicon bring up and debug. What You Bring • BE (MS preferred) in Computer/Electrical Engineering or Computer Science with 15+ years working experience in ASIC verification preferred., • Several years of proven leadership in verification team management., • Experience in multiple successful tape-outs., • Demonstrated ability to manage complex project schedules, resource allocations and risk mitigations., • Expert level knowledge and experience in UVM, c++, and SystemVerilog, • Expert level knowledge in verification flows and tools, • Excellent verbal and written communication skill, • Self-motivated problem-solver with an ability to work well in a team, • You're inclusive, adapting your style to the situation and diverse global norms of our people., • An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding., • You're collaborative, building relationships, humbly offering support and openly welcoming approaches., • Innovative and creative, you proactively explore new ideas and adapt quickly to change. #LI-SF1 What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community. Enjoy Time Away You'll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge. Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies. Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you'll have support no matter where you are. Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier. Embrace Flexibility Benefits are best when you have the space to use them. That's why we facilitate a flexible environment so you can find the right balance for you. Base Pay Range $219,000—$351,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel, regardless of race, religion, color, age, disability, sex, gender identity, sexual orientation, ancestry, genetic information, marital status, national origin, political affiliation, or veteran status. When selecting team members, we prioritize talent and qualities such as humility, kindness, and dedication. We extend comprehensive accommodations throughout our recruiting processes for candidates with disabilities, long-term conditions, neurodivergent individuals, or those requiring pregnancy-related support. All candidates scheduled for an interview will receive guidance on requesting accommodations. Our Commitment to Innovation and Fairness At Samsung Semiconductor, we use Artificial Intelligence (AI) tools in the recruitment process to enhance efficiency. However, AI is used as a support tool, not a final decision-maker. All hiring decisions are made by our human recruiting team and hiring managers to ensure every candidate is evaluated fairly and holistically. Recruiting Agency Policy We do not accept unsolicited resumes. Only authorized recruitment agencies that have a current and valid agreement with Samsung Semiconductor, Inc. are permitted to submit resumes for any job openings. Applicant AI Use Policy At Samsung Semiconductor, we support innovation and technology. However, to ensure a fair and authentic assessment, we ask that candidates rely on their own knowledge and skills throughout the process. AI tools may be used for basic preparation, grammar, and research, but should not be used to generate or assist with submitted content or live interview responses. If we determine that AI is being used outside these guidelines, we reserve the right to pause or end the interview, and your candidacy may be disqualified. Trade Secret Notice By submitting an application, you agree not to disclose to Samsung—or encourage Samsung to use—any confidential or proprietary information (including trade secrets) belonging to a current or former employer or other entity. Applicant Privacy Policy https://semiconductor.samsung.com/about-us/careers/us/privacy/

Meet Leaf Home. We turn complex home improvement projects and endless to-dos into achievements. With more than 50% of homeowners worried about the cost and effort of home maintenance, we deliver remarkable, end-to-end experiences. And get the job done right, at every step. Bringing innovative products, the best people, and the highest standards to every project. Trusted by more than 1 million homeowners across the US and Canada, we are America’s largest direct-to-consumer full-service provider of branded home services and products. Our products, including the patented LeafFilter gutter protection system, have earned numerous awards and recognition from Good Housekeeping, Qualified Remodeler, Angi, Consumer Reports, This Old House, and other consumer review platforms. We are powered by extraordinary people. Our innovative products and reliable services are delivered with convenience, excellence, and quality through 250+ regional sales and installation offices and comprehensive field support offices in New York and Hudson, Ohio. We’re proud to say we’ve been consistently named one of the fastest-growing private companies by Inc. 5000 and recognized as a top employer nationally. The benefits of working at Leaf Home are wide-ranging and include: Industry-best compensation packages | Competitive health, dental, and vision insurance | 401k with company match | Paid time off including paid parental leave | Individualized career development programs | Childcare assistance | Employee assistance programs, including legal, financial planning, and counseling | Employee discount marketplace | Employee Resource Groups such as VetConnect, DEI Committee, Women’s Committee. Position Summary: Responsible for daily gutter installation operations of a field office including successful completion of full onsite customer installations as well as gutter fabrication and delivery to customer location for third-party installation contractors. Operation of both a company vehicle and gutter machine in varying field conditions. Essential Duties and Responsibilities: Travel in assigned territory to complete gutter and gutter protection installations at customer location(s) Ensure jobs are installed daily to improve location attainment and effectiveness Work with teams of LeafFilter employees and/or Subcontractors to complete gutter fabrication and/or installations of gutters and gutter protection products Provide quality installation services by following established installation training processes Communicate with local office leadership daily and as needed on job progress, service issues, completion status, etc. Provide excellent customer service experience while on job site Maintain organized job documents for both the customer and office administrative purposes Follow established job site safety rules, OSHA guidelines and company safety policies and procedures Performs other duties as assigned by supervisor. Experience and Minimum Qualifications: Bachelor’s Degree preferred, or equivalent combination of education, training, and experience. 3+ years of successful experience in home construction, remodeling, and/or gutter installation. • Must hold an active and valid driver’s license and be able to operate a box truck safely., • Must be comfortable ascending and descending ladders of varying heights to perform services. Demonstrate superior quality and attention to detail in all facets of the installation process Ability to teach others through hands-on and documentation-based learning methods Ability to juggle various work activities and shift their attention from one task to another to meet the demands of different stakeholders without “dropping the ball”. Ability to thrive in a fast-paced, high-energy, team-oriented environment and have a “roll up your sleeves” and “today not tomorrow” mentality. Apply active listening skills through the ability to comprehend information presented and respond thoughtfully. Detail-oriented and can focus on the task at hand, no matter how minute, by finding the most efficient and effective pathway to completion. Excellent verbal and written communication skills are required for communicating with internal and external parties in a manner that is both articulate and professional. Ability to logically connect ideas, scrutinize and evaluate arguments, find inconsistencies and errors in work, solve complex problems, and engage in reflection. Ability to provide timely and empathetic help through in-person, phone, email, and social media avenues that keeps the co-worker or customer’s needs at the forefront of every interaction. Ability to communicate effectively, to recognize, understand, and manage one’s own emotions as well as others, and foster positive working relationships across all levels of the organization. Holding oneself responsible and being self-driven in accomplishing business goals, adhering to policies and being responsible for one’s own actions, performance, and decisions. Familiarity and comfort using ladders of various heights. Proficiency using Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, Project, and/or Access). Must hold active and valid driver’s license and be able to operate a box truck safely Ability to successfully complete and meet DOT physical criteria Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Preferred Knowledge, Skills, Abilities or Certifications: Prior experience in gutter and/or gutter protection system installation, repair, or inspection is a plus Travel Requirements: Occasional overnight travel required. Overtime/Additional Hours Requirements: Additional Hours May Be Required (Exempt Positions) Physical Requirements Field Office/Manufacturing/Construction Environment Performs work outside in varying temperatures and climates. Medium work. Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects. Diversity and Inclusion Statement Leaf Home is committed to creating a diverse environment and is proud to be an equal opportunity employer. We strive to create an environment that embraces differences and fosters inclusion. Equal Opportunity Statement Leaf Home will recruit, hire, train, and promote persons in all job titles without regard to race, color, ancestry, national origin, gender identity or expression, sexual orientation, marital status, religion, age, results of genetic testing, veteran status, or physical/mental disability (except where the disability prevents the individual from being able to perform the essential functions of the job and cannot be reasonably accommodated in full compliance with the law).

Job DescriptionCompany Description Western Digital is entering a new chapter. Following our spin-off of SanDisk, we are stepping into our future as an independent deep-tech company, one built on decades of engineering breakthroughs and pointed squarely at the biggest technological frontiers of our time. We are a company of physicists, materials scientists, AI researchers, and engineers. We work at the frontier of magnetics, photonics, nanofabrication, and machine learning - disciplines most people never encounter, solving problems most people don't know exist. Our teams hold one of the largest intellectual property banks in Silicon Valley, and our labs are staffed with hundreds of PhDs who've spent their careers pushing what's physically possible. Most folks know us as a data storage company, powering data centers, hyperscale clouds, and AI systems that define the modern economy. HDD is the backbone of the AI economy and the most scalable, cost-efficient way to store the world's data - and we're building its future. But it's only part of the story. In the past, our technology has helped put a man on the moon and captured the first-ever picture of a black hole. The next generation of what we are building will shape robotics, quantum computing, space systems, personalized medicine, autonomous vehicles, and more. We are entering the most ambitious phase of our company's history. As AI reshapes every industry and every workload, the world needs more data infrastructure, better materials science, and deeper engineering talent than ever before. That's what we do. That's what we've always done. And we're just getting started. Western Digital's Strategy & Corporate Development team is the connective tissue bridging Western Digital's technology to the markets it will serve. We turn deep-tech capability into commercial impact, strengthening our position in the core HDD business, setting the company's long-term strategy, and executing the partnerships, investments, and acquisitions that shape what we build next. If you want to work on problems that matter at the intersection of deep technology, business strategy, and real-world impact, we would love to talk. Join us. Let's build what comes next. Job Description Core Business Strategy • Define sales and commercial strategy for Western Digital’s core HDD business in partnership with commercial leadership team to support long-term value capture for the business, • Support broader portfolio of strategic projects that support Western Digital core business overall. Sample topics can potentially include ecosystem activation, technology assessment, vertical integration strategy, international opportunities, supply chain optimization, and more., • Build Western Digital's ecosystem strategy across hyperscalers, neoclouds, sovereign clouds, OEMs, system integrators, and cloud infrastructure software vendors; develop frameworks for how WD orchestrates its role in the broader storage ecosystem considering where to lead, where to partner, and where to enable to maximize value capture., • Evaluate strategic partnership opportunities with cloud providers, OEMs, system integrators, and ecosystem players; develop deal structuring frameworks and partner models. Strategic Project Execution • Execute high-priority strategic projects end-to-end including go-to-market strategy, customer and partner frameworks, business model evaluation, and build-vs-buy-vs-partner assessments., • Translate long-term strategic priorities into decisions and recommendations that the Executive Leadership Team can act on., • Partner closely with GTM and commercial leadership to co-develop strategies that reflect real customer needs and market dynamics, ensuring strategic recommendations translate into commercial action., • Collaborate across Product, Engineering, Commercial, Finance, and Legal teams to align strategy with execution and drive cross-functional alignment on the highest-stakes strategic questions facing the company Executive Communication • Deliver strategic briefings, deep dives, and recommendations on competitive dynamics, market trends, and long-term positioning for presentation to senior leadership., • Present to C-suite and Board audiences with rigor, clarity, and strategic conviction., • Serve as a trusted strategic thought partner to senior business leaders.Qualifications, • Minimum 8–10+ years of progressive experience spanning top-tier management consulting or in-house corporate strategy and GTM/commercial leadership roles., • Required industry experience within a GTM, commercial, sales strategy, or related role at a data storage company (HDD, SSD, storage systems) or directly adjacent infrastructure company (semiconductors, memory, enterprise storage platforms), • Deep domain experience in data storage, semiconductors, enterprise/cloud infrastructure, or broader AI infrastructure with fluency in technical and commercial dynamics, • Proven track record running complex strategic projects end-to-end, from hypothesis development through to analysis and recommendation, with output quality suitable for senior leadership / C-suite., • Comfort operating with quantitative rigor in ambiguous, high stakes strategic decisions., • Strong financial acumen with the ability to evaluate business models and market economics., • Exceptional strategic thinking and structured problem-solving skills., • Outstanding executive communication, including materials development, narrative crafting, and live presentation to senior leadership (C-suite and Board)., • Proven ability to drive alignment and influence senior stakeholders. Education • MBA or equivalent experience required., • Bachelor's degree in Engineering, Computer Science, Physics, Economics, or a related analytical field. Location • San Jose, California (must be willing to relocate)., • Flexibility for remote work within established company policies., • 15-25% travel including domestic and international travel to meet with targets, advisors, investors, partners, and industry events. What Makes This Role Unique This is a senior strategic leadership position responsible for defining Western Digital's competitive positioning and value capture across its core HDD businesses. The Senior Director will engage directly with the Executive Leadership Team on the highest-priority strategic questions facing the company, requiring exceptional strategic thinking, commercial fluency, and the ability to shape C-suite decisions that determine how Western Digital competes and wins in the AI-driven data economy. 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 jobs.accommodations@wdc.com 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 10/06/2026 (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. 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 compliance@wdc.com.

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team The Growth Analytics team leverages data and insights to drive profitable business growth by supporting the growth vertical in its mission to increase demand, revenue, and customer lifetime value (LTV) at the most efficient cost of acquisition. The team drives decision analysis, and develops a deep user understanding across several key marketing channels, including Direct Mail, Partnerships, Email, and Digital. As a Principal Analyst, Growth Marketing at Upstart, you will serve as the lead analytics partner for one of our largest acquisition channels. You will support the digital marketing team supporting work across paid search, paid social, paid video, mobile marketing, and SEO. You will apply advanced analytics and measurement frameworks to equip stakeholders with the insights and data needed to align on and execute strategic initiatives. In this role, you will collaborate closely with Growth Marketing, Product, Engineering, and Machine Learning teams to drive deep understanding, actionable insights, and data-informed decision-making. You will also help shape the data infrastructure that supports borrower acquisition and retention across our platform—fueling Upstart’s growth at the highest levels. How you’ll make an impact: • Partner cross-functionally with channel owners, product, and engineering leaders to set the growth strategy and analytics roadmap across digital channels and products at Upstart, • Lead the evolution of measurement beyond traditional click-based attribution, incorporating approaches such as marketing mix modeling (MMMs), mobile marketing measurement, and geo-based incrementality testing to develop a more complete view of performance, • Effectively use analytics to understand user behavior, funnel performance, and the impact of growth investments, and make proactive recommendations to improve efficiency and scale, • Design and conduct quantitative analyses and experiments to test hypotheses, helping prioritize the highest-impact opportunities across channels and products, • Collaborate with Analytics Engineering and Engineering to uplevel growth data capabilities, enabling new measurement approaches and accelerating time to insight as the business expands What we’re looking for: • Minimum qualifications:, • Strong analytical and quantitative background with at least 10+ years professional experience, preferably in marketing, growth or product analytics, • Deep expertise in applying analytics and data science techniques to drive impacts in growth and marketing organizations, such as attribution models, customer lifetime values, ROI frameworks, a/b testing, etc., • Proven track record designing and interpreting incrementality experiments, geo-lift tests, or MMM-based growth measurement, • Proficiency in data analysis tools (SQL, Python / R, Looker / Mode / Tableau, etc.), • Degree in Analytics, Data Science, Economics, Engineering, Mathematics or other quantitative field, • Strong communication and analytical storytelling skills, experience deriving actionable insights from analysis, a well-balanced rigorous and creative approach to solving difficult and unstructured problems, • Preferred qualifications:, • Experience in technology, marketplace, fintech companies with knowledge of consumer financing, • Ability to craft executive-ready narratives around complex business or performance topics, leveraging visualization and dashboards to successfully influence and drive C-level decision-making, • Experience in coaching and mentoring junior team members on technical subjects Position location - This role is available in the following locations: Remote Travel requirements - As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $182,300 - $252,500 USD At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). Canada | Remote - Anticipated Base Salary Range $165,800 - $210,000 CAD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: • Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly, • Generous 401(k) plan with Upstart matching $2 for every $1 contributed, up to $15,000 per year, • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees, • Affordable medical, dental, and vision coverage, with multiple plan options - Upstart covers 90% to 100% of the cost depending on the plans you choose, • Health Savings Account contributions from Upstart for eligible plans, • Income protection benefits, including company-paid Basic Life, AD&D, and Short- and Long-Term Disability coverage, with options to purchase supplemental coverage, • Paid time off, sick and safe time, and company holidays, • Paid family and parental leave to support caregiving and major life moments, • Family-centered benefits through Carrot and Cleo, supporting fertility, parenthood, and caregiving, • Employee Assistance Program (EAP) offering mental health support and life-centered resources, • Financial wellness resources, including access to financial planning tools and a financial concierge service, • Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you, • Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from, • Connection and community through team events and onsites, all-company updates, and employee resource groups (ERGs), • Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our four offices, located in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!). Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email _ _

Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: At Samsara, we hire people passionate about building for the long term. As a Senior Technical Recruiter, you will scale our R&D teams—including Software Engineering, Machine Learning, and Product Management—with intention, urgency, and high standards. We operate as the opposite of a volume shop; we are first-principled, outcomes-focused, and prioritize "what exceptional looks like" over traditional recruiting rulebooks. In this role, you will be treated like an adult and measured on impact rather than activity. Success means maintaining a high signal-to-noise ratio—hiring approximately 3–4 extraordinary people per quarter—while delivering a world-class experience that "woos" the best talent in the industry. This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. In this role, you will: • Execute Full-Cycle Recruiting: Lead the end-to-end hiring process for R&D IC and leadership roles, ensuring outstanding execution from first touch to close., • Act as a Strategic Partner: Work backwards from the needs of senior stakeholders, gaining a deep understanding of their business to influence who and how you recruit., • Drive Proactive Talent Strategy: Build high-caliber pipelines through market mapping and long-range engagement programs, even when no active roles are open., • Employ Creative Sourcing: Move beyond traditional methods by mapping talent networks and using direct outreach to engage top-tier candidates who aren't on the open market., • Optimize Hiring Processes: Proactively identify and resolve friction points to simplify the hiring journey and bring structure to ambiguous searches., • Collaborate as One Team: Support a "team-first" culture that rejects rigid candidate ownership rules in favor of collective success and honest feedback., • Apply Innovation: Utilize AI and modern tools thoughtfully to work smarter, move fast without cutting corners, and maintain a relentless focus on quality. Minimum requirements for the role: • 5+ years of full-cycle recruiting experience, including ownership of high-bar roles with hard-to-close profiles across multiple disciplines, • Proven track record of successfully hiring for technical roles, such as Product Managers, Engineers, and Product Designers, • Demonstrated success running searches for senior stakeholders (Director level and above), with an emphasis on trust, rigor, and influence, • A “Talent Partner” mindset—you contribute insights, talent data, and structure that raise the bar beyond filling roles, • Experience hiring for technical roles in innovative and high-bar companies, • Proven ability to build effective outbound and passive talent strategies in constrained markets - especially where the "easy path" doesn’t work, • Strong track record of navigating complex hiring scenarios, including pushback, ambiguity, and process risk, while keeping a long-term focus on hiring quality, • Excellent communicator who aligns stakeholders, mitigates surprises, and delivers crisp execution, • Experience leveraging AI tools thoughtfully and intentionally to drive more thorough, effective, and efficient recruiting - without compromising candidate quality or experience

Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient — and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. You'll be designing the future of agentic marketing at a critical inflection point. We're not just moving data anymore. We're building AI agents that make real-time, data-driven decisions across entire customer journeys. This is 0-1 product work in a space where the rules are still being written. The opportunity is massive. Hightouch is investing heavily in Agents, and you'll be on the team doing the groundbreaking work. We're talking about tools that blend first-party data with machine learning models to unlock outcomes that were literally impossible before. Fast-moving, high-stakes, high-reward. We're a talented team spanning coast to coast, all remote-first. You'll grow faster here because we don't have layers of process or bureaucracy slowing you down. You ship. You learn. You iterate. Repeat. • Weekly crits: Bring your work, get constructive feedback from relevant stakeholders., • Design jams: We jam on the big stuff as a team (color palettes, new patterns, practice retros)., • Design system: We've invested in our system since day one. Expanding library, regular sync with engineering., • Design cooldown: Bi-weekly sessions where we experiment with new tools, run design exercises, and work on side projects that have nothing to do with our roadmap. Past activities include building interactive prototypes in Framer, exploring AI design tools, and collaborative illustration sessions. We don't just talk about craft. We live it. Check out _ to see a sample of what we shipped last year. You'll be surrounded by talented and collaborative folks, which means you're constantly learning from people who challenge the way you think. No stagnation here. You'll create and iterate on powerful tools for marketing teams using our Agents product suite. This means: • 0-1 innovation: You're building new products in uncharted territory., • Rapid iteration: Demonstrate your thinking through rapid designs and prototypes, not endless presentations., • Product strategy: You'll connect directly with customers through research sessions, synthesize insights from usage data and feedback, and use that understanding to influence product direction and prioritization. Your voice will shape what we build., • Live collaboration: You'll work directly with other designers, engineers, and PMs to define product details as a team., • High growth: We don't expect you to know everything. We expect you to learn fast., • 6+ years designing and shipping user-friendly features or applications in technical spaces (bonus: B2B data or marketing products)., • Curiosity about AI: You're tinkering with new technologies constantly. You're not just watching AI from the sidelines., • Craft excellence: Your visual, UI, and interaction skills are sharp. You can take a user problem from idea to high-fidelity solution., • Team player mentality: You're kind, humble, and assume good intentions. You seek to understand before reacting., • Figma proficiency required. Bonus if you're comfortable in Cursor, Framer, or Claude Code. This role is not for everyone. If you need clear guardrails, slow iteration cycles, or a mature product to optimize, this isn't it. We're in rapid experimentation mode. Things are ambiguous. You'll need to be comfortable making decisions with incomplete information and iterating based on what we learn. But if you want to work on products that didn't exist six months ago, with a team that moves fast and trusts you to own your domain, this is the place. • Recruiter screen [30m]: Intro call., • Manager screen [30m]: First conversation with Elliot, who leads the product design team, to learn more about your history and career trajectory., • Team portfolio review [30m]: Review of your previous work., • Design exercise [60m]: Live exercise we'll run through together where we'll give you a problem and want to see how you begin breaking it down. No homework. Just jamming live on a problem similar to how we work daily., • Follow-up 1:1s [30m]: Meet members of the team to wrap up any final questions., • This role is remote for North America. Optional offices in NY, SF, Charlotte, • We don't use formal levels at Hightouch. "Senior" is a placeholder. Your compensation will match your actual experience and skills, and we'll scope the role to fit your capabilities., • We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only — we never use E-Verify to pre-screen applicants.

Job Description About Us At Prenuvo, we are on a mission to flip the paradigm from reactive "sick-care" to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against "we caught it too late again". We are hiring a Technical Program Manager, AI Medical Devices to coordinate the end-to-end execution of Prenuvo's AI-enabled medical-device programs. You will work across AI Research, Engineering, Systems Engineering, Product, Quality, Regulatory, Clinical, and other teams to turn technically complex medical-device initiatives into clear, executable programs. You will connect product development, model development, systems engineering, validation, quality, regulatory readiness, launch, change management, and post-market activities into one integrated plan. By making this work more structured and scalable, you will help Prenuvo's AI and device teams increase their capacity to develop and evolve our product portfolio. This role does not provide visa sponsorship. Applicants must be legally authorized to work in Canada or the USA at the time of hire and must not require employer sponsorship for a work visa (current or future). Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people's lives! What You'll Do • Program Coordination: Support project planning, scheduling and progress tracking for multiple AI device programs., • Cross-Functional Alignment: Collaborate closely with AI/ML engineers, systems engineers, regulatory affairs, product teams and clinical operations to keep deliverables synchronized across teams., • Documentation Management: Set up and maintain project documentation in Jira and other tools, track milestones and ensure all design control and regulatory deliverables are up to date., • Quality and Compliance: Support readiness for regulatory submissions (such as 510(k), IDE, Health Canada) and plan/execute design control design reviews, including capturing clear summaries and follow-ups., • Reporting and Communication: Facilitate reporting and communicate project status, risks, and dependencies to the program team and stakeholders., • Continuous Improvement: Identify process gaps and contribute ideas to improve collaboration, documentation flow and delivery efficiency. What You'll Bring • 5+ years of experience in Technical Program Management, Technical Project Management, Engineering Program Management, medical-device product development, or a closely related discipline., • 2+ years working with regulated medical devices, Software as a Medical Device, digital health, or similarly regulated clinical technology., • Experience coordinating multidisciplinary technical programs from development through verification/validation and launch., • Strong technical fluency and the ability to work credibly with software engineers, systems engineers, AI/ML researchers, and technical product leaders., • Familiarity with machine-learning development concepts such as datasets, model performance, validation, inference, deployment, and production monitoring. You do not need to be an ML engineer., • Working knowledge of regulated medical-device development practices, including design controls, risk management, verification and validation, change control, and post-market processes., • Experience working with Quality and Regulatory teams on FDA and/or Health Canada regulated products. Nice to Haves • Familiarity with standards such as ISO 13485, ISO 14971, and IEC 62304 is strongly preferred., • Experience specifically with AI/ML-enabled medical devices or SaMD is strongly preferred., • Experience coordinating clinical validation or clinical-performance evaluation is a plus., • Excellent program-planning, dependency-management, and risk-management skills., • Exceptional communication and the ability to create clarity across specialized technical disciplines., • Comfort operating in a fast-moving environment where the processes required to scale are still being built. Our Values First: we are Pioneers • Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding. Second: we are Platform-Builders • We're always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what's ahead – in a mindset of ownership and duty to our mission. Above all: we are Patients • We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients' lives, and we won't stop till everyone can benefit from our work. What We Offer • An avenue to make a positive impact on people's lives and their health, • We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member, • Growth opportunities are at the heart of our people journey, we're doing big things with bright minds - there is no single path to success, it can be shaped along the way, • Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize, • Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it, • We now offer the Prenuvo's Commuter Benefits Plan to help cover your transit and parking costs. Whether you ride, drive, or park, we've got you covered—making your commute easier and more affordable!, • Prenuvo offers a 401(k) retirement savings plan to eligible employees, allowing team members to make pre-tax contributions toward their retirement. While Prenuvo facilitates access to the plan, the company does not currently offer matching contributions., • We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family., • The base salary for this role ranges from $170,000-$200,000 in local currency, depending upon experience and geographic location We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules. Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Would you like to work on such a team, solving hard problems in machine learning? Te

Photonic Engineer, Machine Learning. Share Photonic Engineer, Machine Learning. Share Photonic Engineer, Machine Learning.

Job DescriptionCompany Description Overview Western Digital is entering a new chapter. Following our spin-off of SanDisk, we are stepping into our future as an independent deep-tech company, one built on decades of engineering breakthroughs and pointed squarely at the biggest technological frontiers of our time. We are a company of physicists, materials scientists, AI researchers, and engineers. We work at the frontier of magnetics, photonics, nanofabrication, and machine learning - disciplines most people never encounter, solving problems most people don't know exist. Our teams hold one of the largest intellectual property banks in Silicon Valley, and our labs are staffed with hundreds of PhDs who've spent their careers pushing what's physically possible. Most folks know us as a data storage company, powering data centers, hyperscale clouds, and AI systems that define the modern economy. HDD is the backbone of the AI economy and the most scalable, cost-efficient way to store the world's data - and we're building its future. But it's only part of the story. In the past, our technology has helped put a man on the moon and captured the first-ever picture of a black hole. The next generation of what we are building will shape robotics, quantum computing, space systems, personalized medicine, autonomous vehicles, and more. We are entering the most ambitious phase of our company's history. As AI reshapes every industry and every workload, the world needs more data infrastructure, better materials science, and deeper engineering talent than ever before. That's what we do. That's what we've always done. And we're just getting started. Western Digital's Strategy & Corporate Development team is the connective tissue bridging Western Digital's technology to the markets it will serve. We turn deep-tech capability into commercial impact, strengthening our position in the core HDD business, setting the company's long-term strategy, and executing the partnerships, investments, and acquisitions that shape what we build next. If you want to work on problems that matter at the intersection of deep technology, business strategy, and real-world impact, we would love to talk. Join us. Let's build what comes next. Job Description Strategic Projects Ownership • Associate will independently own and lead strategic projects that span both core business in data storage as well as New Ventures which covers new business opportunities related to technologies in photonics, magnetics, and nano-fabrication., • Independently lead and own project outputs end-to-end including market sizing, competitive landscaping, end customer and segment analysis, GTM frameworks, build-buy-partner assessments, and more; serve as a credible thought partner to executives and cross-functional stakeholders., • Track timelines, synthesize cross-functional inputs, and deliver against tight deadlines with minimal supervision while escalating appropriately on critical decisions. Research & Analysis • Conduct primary and secondary research: market sizing, competitive landscaping, customer and partner dynamics, technology trend tracking, and peer benchmarking., • Synthesize insights from diverse sources into clear analytical conclusions that inform strategic recommendations. Executive Deliverables • Develop executive-quality deliverables: structured slide decks, one-pagers, briefing notes, and read-outs for executive leadership (C-suite and Board) audiences., • Translate complex analysis into clear, compelling narratives suitable for senior leadership consumption. Financial & Analytical Modeling • Build and maintain supporting financial and analytical models including market sizing, scenario analysis, business case development, and GTM economics., • Develop quantitative frameworks that underpin strategic recommendations with rigor and defensibility. Cross-Functional Collaboration • Partner closely with cross-functional stakeholders to align on strategic priorities, gather inputs, and drive recommendations through to decisions., • Build trusted relationships with commercial, product, and finance stakeholders and drive alignment independently.Qualifications, • Minimum of 3–6 years experience overall with minimum 2 spent in consulting, corporate strategy, investment banking, or a research-intensive analytical role; progressive career trajectory with increasing scope, ownership, and complexity of work over time., • Demonstrated ability to own and lead complex strategic projects end-to-end with C-suite output quality, from problem structuring through to final recommendation., • Strong financial and analytical acumen including models, scenario analysis, and business case development; comfortable with quantitative frameworks., • Experience conducting primary research (expert interviews, customer conversations, channel checks) and secondary research (industry reports, analyst research, public filings) to inform strategic recommendations., • Strong cross-functional collaborator who can build trusted relationships with commercial, product, and finance stakeholders; drives alignment independently., • Experience working with senior leaders and delivering executive-level deliverables independently., • Solid Excel and PowerPoint skills; data visualization a plus., • Strong written and verbal communication skills., • Experience supporting or embedded in commercial, GTM, or sales organizations preferred Preferred Qualifications • Prior experience in deep technology, data storage, semiconductor, or enterprise infrastructure., • Experience with competitive intelligence or market research tools (e.g., PitchBook, Bloomberg, Gartner). Education • MBA or equivalent work experience preferred., • Bachelor's degree in Engineering, Computer Science, Physics, Economics, Finance, or a related analytical field. Location • San Jose, California (must be willing to relocate), • Flexibility for remote work within established company policies., • 10-20% travel including domestic and international travel to meet with targets, advisors, investors, partners, and industry events. What Makes This Role Unique This is a high-impact analytical role at the center of Western Digital's corporate strategy function, offering direct exposure to the Executive Leadership Team on the company's most important strategic questions. The Associate will independently drive strategic projects championed by senior executives on a wide range of topics and business areas that cover core business (HDD, data storage, infrastructure, AI/cloud) and New Ventures. The role offers a rare opportunity to build deep expertise in AI infrastructure, data storage, and new deep technologies while operating with the autonomy and rigor of a top-tier corporate strategy function. 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 jobs.accommodations@wdc.com 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 10/06/2026 (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. 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 compliance@wdc.com.

Job DescriptionCompany Description Overview Western Digital is entering a new chapter. Following our spin-off of SanDisk, we are stepping into our future as an independent deep-tech company, one built on decades of engineering breakthroughs and pointed squarely at the biggest technological frontiers of our time. We are a company of physicists, materials scientists, AI researchers, and engineers. We work at the frontier of magnetics, photonics, nanofabrication, and machine learning - disciplines most people never encounter, solving problems most people don't know exist. Our teams hold one of the largest intellectual property banks in Silicon Valley, and our labs are staffed with hundreds of PhDs who've spent their careers pushing what's physically possible. Most folks know us as a data storage company, powering data centers, hyperscale clouds, and AI systems that define the modern economy. HDD is the backbone of the AI economy and the most scalable, cost-efficient way to store the world's data - and we're building its future. But it's only part of the story. In the past, our technology has helped put a man on the moon and captured the first-ever picture of a black hole. The next generation of what we are building will shape robotics, quantum computing, space systems, personalized medicine, autonomous vehicles, and more. We are entering the most ambitious phase of our company's history. As AI reshapes every industry and every workload, the world needs more data infrastructure, better materials science, and deeper engineering talent than ever before. That's what we do. That's what we've always done. And we're just getting started. Western Digital's Strategy & Corporate Development team is the connective tissue bridging Western Digital's technology to the markets it will serve. We turn deep-tech capability into commercial impact, strengthening our position in the core HDD business, setting the company's long-term strategy, and executing the partnerships, investments, and acquisitions that shape what we build next. If you want to work on problems that matter at the intersection of deep technology, business strategy, and real-world impact, we would love to talk. Join us. Let's build what comes next. Job Description Key Responsibilities Financial Modeling & Deal Economics • Lead financial modeling and deal economics independently including DCF/valuation, trading and transaction comps, accretion/dilution, synergy analysis, and deal structuring., • Build and defend sophisticated financial models from scratch, including stress-testing assumptions under executive scrutiny., • Develop unit economics, return analyses, and value-creation frameworks for M&A and venture opportunities; support investment thesis development with rigorous quantitative underpinning. Target Landscape & Pipeline Management • Map and maintain target landscape: research acquisition candidates, track competitor M&A activity, and maintain the deal pipeline and CRM., • Conduct primary and secondary research to identify and prioritize acquisition, JV, and investment targets; support pipeline reviews and portfolio prioritization discussions with Corporate Development leadership. Deal Materials & Executive Communication • Produce executive-ready investment memos, deal summaries, and Board materials., • Translate complex financial and strategic analysis into clear, compelling narratives for senior leadership. WD Capital & Venture Support • Support WD Capital: conduct company and technology diligence on startup investment opportunities and develop investment thesis independently for venture opportunities in storage, data infrastructure, and AI adjacencies., • Build relationships with VCs, accelerators, and startup ecosystems to support deal sourcing. Cross-Functional Partnership • Partner closely with Finance, Legal, HR, and business leaders throughout the deal lifecycle to enable due diligence coordination, risk assessment, and integration hand-off., • Build trusted relationships with cross-functional stakeholders and drive coordination with minimal senior oversight.Qualifications, • 3–6 years in investment banking, private equity/growth equity, corporate development, or management consulting where financial modeling depth and analytical rigor were clearly demonstrated., • Transaction execution experience required - must have worked on live deals through diligence, negotiation, and close., • Exceptional financial modeling and quantitative analysis skills; can build models from scratch across valuation, alternative deal structures and economics, and can defend assumptions under executive pressure., • Experience producing investment memos, Board materials, and executive-ready deal summaries with minimal senior oversight., • Familiarity with due diligence workstreams across Legal, Finance, HR, IT, and technical/product., • Operates independently, drives workstreams to completion, and delivers against tight deadlines. Demonstrates strong attention to detail, proactiveness, and independence., • Familiarity with market intelligence platforms (PitchBook, CapIQ, etc.)), • Excellent written and verbal communication skills., • Strong Excel and PowerPoint skills; data visualization a plus. Preferred Qualifications • Prior experience in highly technical industry, • Experience across multiple deal types e.g., strategic M&A, joint ventures, divestitures, commercial partnerships, cross-border transactions., • Deep-tech venture investing experience. Education • MBA or equivalent work experience/progression strongly preferred., • Bachelor's degree in Finance, Economics, Engineering, Computer Science, or a related analytical field. Location • San Jose, California (must be willing to relocate)., • Flexibility for remote work within established company policies., • 10-20% travel including domestic and international travel to meet with targets, advisors, investors, partners, and industry events. What Makes This Role Unique This is a high-impact execution role at the center of Western Digital's inorganic growth agenda, offering direct exposure to the Executive Leadership Team and Board on key company initiatives. The Associate will independently own financial modeling, diligence coordination, and deal materials that shape M&A, JV, divestiture, and venture decisions as Western Digital strengthens its core HDD business while expanding into new deep technology areas. The role offers rare hands-on deal experience with a top-tier in-house corporate development function. 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 jobs.accommodations@wdc.com 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 10/06/2026 (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. 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 compliance@wdc.com.

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: Upstart’s Unsecured Underwriting Machine Learning team develops and improves the models that inform credit decisions for our unsecured lending products. The team conducts machine learning research, evaluates model performance, and partners closely with engineering teams to translate promising ideas into scalable model improvements. As an Applied Scientist, you will research and implement enhancements to Upstart’s core unsecured underwriting model. Your work will directly influence credit decisioning and help the team increase the pace of research while maintaining the rigor, reliability, and responsible oversight required of production underwriting models. As an Applied Scientist in the Unsecured Underwriting Machine Learning team at Upstart, you will: • Research machine learning and statistical approaches that improve the predictive performance of unsecured underwriting models., • Design, implement, and evaluate model enhancements using rigorous experimentation and validation methods., • Analyze model performance and downstream effects to confirm that proposed changes improve decisioning reliably., • Partner with various engineering teams to support technical reviews, implementation, and deployment., • Translate research findings into clear recommendations, documented methodologies, and production-ready solutions. _ • Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field., • 0–2 years of experience conducting machine learning, statistical modeling, or applied quantitative research in an academic or industry setting., • Experience developing and evaluating machine learning or statistical models using Python., • Demonstrated knowledge of probability, statistics, and machine learning methods., • Experience designing experiments or validation analyses to assess model accuracy, reliability, or predictive performance. _ • PhD in a quantitative field., • Knowledge of supervised learning, model evaluation, and feature engineering techniques., • Experience working with large or complex datasets and translating research concepts into implemented solutions., • Ability to balance research velocity with analytical rigor, model reliability, and responsible decision-making., • Strong written and verbal communication skills, with the ability to clearly explain technical concepts and collaborate effectively with cross-functional teams and stakeholders from diverse backgrounds. Position location This role is available in the following locations: Remote Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. What you'll love: • Competitive Compensation (base + bonus & equity), • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart, • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings, • Employee Stock Purchase Plan (ESPP), • Life and disability insurance, • Generous holiday, vacation, sick and safety leave, • Supportive parental, family care, and military leave programs, • Annual wellness, technology & ergonomic reimbursement programs, • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering, • Catered lunches + snacks & drinks when working in offices #LI-REMOTE #LI-Associate At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $141,500 - $196,000 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: • Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly, • Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada), • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only), • Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada., • Health Savings Account contributions from Upstart for eligible plans (US only), • Income protection benefits, including life insurance and disability coverage for added financial security, • Paid time off, sick leave, and company holidays, in line with local requirements, • Paid family and parental leave to support caregiving and major life moments (duration varies by country), • Family-centered benefits to support fertility, parenthood, and caregiving needs, • Employee Assistance Program (EAP) offering mental health support and life-centered resources, • Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only), • Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you, • Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from, • Connection and community through team events, all-company updates, and employee resource groups (ERGs), • Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!) For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com _

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm’s engineering team is building a large-scale, highly available, and global infrastructure that is shared across multiple financial products. Ensuring that our infrastructure is accessible to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis. The Data and Storage Services team is responsible for Affirm’s data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. This role will focus on Affirm’s Lakehouse Platform, including Apache Iceberg as a foundational technology for scalable analytical data storage, table management, schema evolution, and interoperability across compute engines such as Spark and Snowflake. • Influence technical strategy: Define and drive the long-term technical roadmap for Affirm’s Lakehouse Platform across Apache Iceberg, Spark, Snowflake, and cloud-native storage, balancing scalability, reliability, governance, performance, and cost., • Design and develop: Architect and implement platform capabilities that make analytical data secure, trustworthy, discoverable, and easy to use across Affirm’s engineering, analytics, machine learning, and business teams., • Strengthen governance and access controls: Design and operate secure, auditable data access capabilities across Snowflake and the lakehouse platform, including RBAC, dynamic data masking, cataloging, lineage, classification, and privacy policy enforcement., • Improve analytics engineering foundations: Partner with Analytics Engineering to evolve data modeling, transformation pipelines, testing frameworks, documentation standards, and data quality practices that enable trustworthy self-service analytics., • Operate at scale: Establish best practices for lakehouse operations, including schema evolution, table maintenance, partitioning, compaction, observability, incident response, production support, and readiness for on-call operations., • Optimize performance and cost: Identify and execute improvements across analytical compute and storage, including Snowflake warehouse tuning, query optimization, storage layout, lifecycle management, cost attribution, and operational efficiency., • Collaborate cross-functionally: Partner with Infrastructure, Lakehouse Analytics, Analytics Engineering, Machine Learning, BI, Product Engineering, and SRE to translate stakeholder needs into durable platform architecture., • Innovate: Stay ahead of industry trends in lakehouse architecture, open table formats, analytical compute engines, data governance, privacy engineering, semantic layers, agentic data tools, and AI-ready data infrastructure., • Build teams: Mentor engineers, raise technical quality, and foster an inclusive culture of design rigor, operational excellence, and continuous learning., • Lakehouse Platform Expertise: Proven experience architecting, building, launching, and operating large-scale OLAP systems, lakehouse platforms, or analytical data infrastructure using technologies such as Apache Iceberg, Spark, Snowflake, and cloud-native storage., • Snowflake Platform Expertise: Hands-on experience with Snowflake or comparable analytical data warehouses, including RBAC, dynamic data masking, warehouse optimization, query profiling, clustering, and cost management., • Data Platform Architecture: Strong understanding of table formats, schema evolution, partitioning, compaction, query performance, data lifecycle management, observability, and cost optimization for analytical systems., • Governance and Trust: Experience designing secure, reliable, and governed data platforms, including RBAC/ABAC, data quality, lineage, classification, privacy controls, policy enforcement, and operational compliance., • Analytics Engineering Foundations: Experience with dbt or similar transformation frameworks, data modeling best practices, testing, documentation, CI/CD, and data quality practices for analytical pipelines., • Agentic Data Tools: Experience building or shaping semantic layers, self-service analytics platforms, internal data applications, or AI-enabled data tools that improve data accessibility and usability., • Technical Leadership: Demonstrated ability to set technical direction, lead ambiguous platform initiatives, mentor engineers, and influence roadmaps across teams while staying close to implementation details., • Collaboration: Strong ability to partner with engineering, analytics, machine learning, BI, product, and infrastructure teams to translate business needs into durable technical solutions., • Communication Skills: Excellent communication skills, with the ability to clearly articulate technical concepts, tradeoffs, and recommendations to technical and non-technical stakeholders., • Experience: 8+ years of experience in software engineering, data infrastructure, or data platform engineering, with 2+ years of technical leadership responsibilities., • Hands-on Leadership: Hands-on experience leading teams to build critical data infrastructure., • Snowflake / Analytical Warehouses: Hands-on experience with Snowflake or comparable analytical data warehouses, including access control, data masking, query optimization, and cost management., • Lakehouse and Big Data: Strong experience with Apache Iceberg, Spark, and cloud-native data lake architectures., • Analytics Engineering: Experience with dbt or equivalent transformation frameworks, including data modeling, testing, documentation, and CI/CD practices., • Programming Skills: Proficiency in Python, SQL, or JVM-based languages, with a strong emphasis on clean, maintainable, production-quality systems., • Infrastructure as Code: Familiarity with Terraform or similar automation tools for managing data infrastructure., • Education: This position requires equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - P Equity Grade - 13 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000 USA base pay range (all other U.S. states) per year: $204,000 - $264,000 #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents, • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses, • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge, • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's _ and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

WHY DEPT®? We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA. We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter. At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build. The Role: We are looking for a Principal, Data Analyst seeking to work with our clients to shape business and data strategy. You are highly analytical and excited about applying a quantitative framework to business problems through performing analysis, data mining, predictive modeling, business forecasting, applied statistics, and more. You are comfortable with presenting your approach to Product Managers, Engineers, Marketing, Sales, Finance and working with them to execute a data-driven business process. At DEPT®, we pride ourselves on our pragmatic, engineering approach to making data work for the business. What you’ll bring: • Deep Technical & Domain Expertise: Leverage broad technical and functional knowledge to design and execute high-impact marketing analytics solutions., • Persuasive Communication: Articulate complex context, strategic recommendations, and clear rationale to internal and external stakeholders to inspire confidence and drive buy-in., • Industry Foresight: Stay ahead of market trends and proactively translate emerging ideas into actionable improvements for our current workflows., • Value-First Mindset: Step back to evaluate ongoing and proposed work, ensuring every solution consistently maximizes long-term client value. What we’re looking for: • 5+ years of applied analytics in marketing, product, engineering, sales, or finance, • 5+ years of discovery and assessment of a client’s data portfolio, data tools, and data applications, • 3+ years of data management and consulting experience, • Strong working knowledge of SQL. NoSQL is a plus, • Experience in at least one or more languages for applied statistics, data analysis, and machine learning - Python, R, Matlab, SPSS, • Experience with cloud platforms such as AWS, GCP, Azure to use/deploy analytics solutions, • Skill in utilizing LLMs and AI coding tools. Curiosity and excitement about the AI transformation of analytics, • Manage a data ecosystem including ETL, data governance, reporting and insights, • Ability to take a project from RFP/SOW/BRD to delivery: project management, requirements gathering, data architecture, workflow management, quality assurance, reporting and visualization, presentation, • Interest in mentoring junior colleagues on process, analysis, deliverables, client communication, and management skills WHAT DO WE OFFER? We are a collaborative, open-door, best-idea-wins environment that fosters personal and company growth and has fun doing it. Here is a snapshot of our benefits package: • Healthcare, Dental, and Vision coverage, • 401k plan, plus matching, • PTO, • Paid Company Holidays, • Parental Leave WE SUPPORT YOU BEING YOU: DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step. DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. We are a company passionate about. Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place. DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Coach, eBay, and OpenAI. _ DIVERSITY, EQUITY, & INCLUSION At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts_. #LI-Remote The anticipated salary range for this position is listed below. Salary is based on a range of factors that include relevant experience, expertise, physical location, and organizational impact. This is based on a 40-hour workweek and leveling. Keep in mind, we’re flexible. US Remote Range $96,000 - $140,000 USD

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Who is Recruiting from Scratch: Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates. _ Location: Remote (United States) Company Stage of Funding: Profitable Growth-Stage Healthcare Technology Company Office Type: Fully Remote Salary: $140,000–$180,000 Base + 10–20% Bonus We're representing a profitable, founder-led healthcare technology company that powers data infrastructure for some of the largest healthcare systems in the world. Their platform helps hospitals, health systems, consulting firms, and supply chain organizations manage procurement, product data, and operational workflows more efficiently through sophisticated data engineering and AI-powered solutions. Unlike many startups, the company has been profitable since inception and continues to experience rapid growth. Their engineering team operates remotely across the United States, solving large-scale data challenges that directly impact healthcare operations and supply chain efficiency across the industry. • Design, build, and maintain scalable ETL and ELT pipelines that process complex healthcare supply chain data., • Develop data platforms that ingest, transform, and enrich structured and unstructured datasets from a variety of enterprise sources., • Architect and optimize AWS-based data infrastructure with a focus on reliability, scalability, and cost efficiency., • Build production-grade LLM-powered workflows for entity extraction, normalization, classification, matching, and enrichment., • Design evaluation systems, prompting frameworks, guardrails, and monitoring solutions that improve AI reliability and performance., • Integrate machine learning models into production data workflows, including training pipelines, batch processing, inference systems, and monitoring., • Partner closely with Product, Engineering, and Data Operations teams to deliver data solutions that support business and customer needs., • Develop tooling that enables domain experts to review, validate, and continuously improve data quality., • Drive improvements in pipeline performance, observability, testing, and operational excellence., • Mentor engineers and contribute to architectural decisions, code reviews, and engineering best practices., • 4+ years of professional software or data engineering experience, including at least 3 years focused on data engineering., • Strong Python and SQL expertise with experience building production-grade data platforms., • Experience designing and operating large-scale ETL/ELT systems and workflow orchestration frameworks., • Hands-on experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, or related cloud-native data technologies., • Strong understanding of data modeling, schema design, data warehousing, and data quality practices., • Experience integrating LLMs, AI models, or machine learning workflows into production systems., • Familiarity with prompt engineering, evaluation frameworks, structured outputs, caching strategies, and AI system reliability., • Ability to work independently in a remote environment while collaborating effectively across technical and non-technical teams., • Strong communication skills and ability to explain technical concepts clearly., • Experience within healthcare, healthcare supply chain technology, healthcare data platforms, or enterprise SaaS environments., • Experience with Rust for high-performance data processing applications., • Familiarity with master data management, data governance, and large-scale data quality initiatives., • Experience with NLP, information extraction, entity resolution, record linkage, embeddings, retrieval systems, or RAG architectures., • Experience working with large-scale web scraping, data ingestion, or heterogeneous data sources., • Familiarity with MLOps and LLMOps tooling, including prompt versioning, model evaluation, observability, and vector databases., • Experience with CI/CD, infrastructure-as-code, containerization, and production data platform operations., • Startup experience and comfort working in highly autonomous environments., • Base salary: $140,000–$180,000., • Performance bonus: 10–20% of base salary., • 100% employer-paid medical, dental, and vision coverage., • 401(k) matching program., • Flexible and unlimited PTO., • Fully remote U.S.-based role., • Regular team offsites and in-person collaboration events., • Opportunity to join a profitable, high-growth company with strong product-market fit., • Significant ownership over core data platform architecture and AI-powered data initiatives., • Direct impact on healthcare supply chains and operational efficiency across major health systems., • Collaborative, low-bureaucracy engineering culture focused on autonomy, craftsmanship, and long-term growth.

Twin Health At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives. Working here Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment. Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® . With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world. Join us as we reinvent the standard of care in metabolic health. Opportunity As a Twin Advanced Practice Provider, you make a difference in people's lives by providing treatment, management, and guidance to empower your members seeking to achieve complete diabetic reversal and overall health improvement across multiple conditions, using artificial intelligence, machine learning, and a health coach, RN, and provider care management model. This role is to support members in multiple states through remote care management. Responsibilities • Engage with collaborative team of healthcare professionals including health coaches, physicians, chief medical officer, and other colleagues, • Conduct health assessments including review of laboratory results, medical history, and psychosocial history, • Assess symptoms and treat as appropriate, collaborating with Twin Health members primary care provider, • Willingness to deliver care using telemedicine and to document in Twin’s clinical platform, • Manage a high risk population and work collaboratively between the care team and member to understand social determinants of health and population specific needs, • Willingness to learn and understand the Twin Model of Care to support reversal of diabetes and other chronic conditions, • Basic understanding of business objectives and service level agreements that support both financial, clinical, and quality success and outcomes, • Collaborate with Twin medical team to provide excellent customer service and experience, focusing member care around multiple chronic conditions, • Provide patient education to promote habits that will prevent diseases and maintain good health as outlined by Twin Health Program, • Discussing and reviewing patients' medical history, symptoms, allergies, and current medications., • Asking patients situation-specific questions to assess symptoms, • Prescribing suitable medications to patients and providing proper dosage and administration instructions per Twin Health Policy, • Maintaining accurate records of patients' contact details, medical history, prescribed medications, allergies, diagnoses, and progress, • Additional duties as assigned Qualifications • Physician Assistant CA state license, preferably licensed in multiple states., • Bilingual (fluent in English and Spanish), • 3-5 years of experience as an advanced practice provider., • Clinical experience and passion in working with multiple different populations including underserved groups, • Experience managing patients remotely across different geographic areas and states, • 5 or more licenses with willingness to obtain more, • Eager to collaborate with a wonderful team of internal medicine and family medicine physicians and health coaches, • Board-certified in family or internal medicine, • Proven experience working as an advanced practice provider, • Sound medical knowledge, • The ability to consult with patients through virtual communication channels, • Excellent analytical and problem-solving skills, • Exceptional communication skills, • A patient and compassionate disposition, • Detail-oriented, • Interest in working with underserved groups, • Experience using technology and data to guide care decisions Compensation and Benefits The compensation for this position is $120,000- $145,000 annually. Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin. • A competitive compensation package in line with leading technology companies, • As a remote friendly company we are committed to providing opportunities for all who join to further build relationships, increase cross-functional collaboration, and celebrate our accomplishments., • Opportunity for equity participation, • Unlimited vacation with manager approval, • 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents, • 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options, • 401k retirement savings plan Salary range for US jobs US Salary Range $120,000 - $145,000 USD We have been made aware of fraudulent interview requests being sent using the Twin Health's name. All communications will come from official Twin Health channels and a _ email address. We will never ask you to complete a text interview or request financial details during the interview process.

Staff MLE, Reinforcement Learning Compensation: $270,000 - $280,000 base + equity Location: San Francisco, hybrid 3 days per week Join a fast-growing AI technology company building the infrastructure, training environments, and evaluation systems used to improve advanced AI models. This is a Staff-level role for a Machine Learning Engineer who combines real depth in reinforcement learning and post-training with strong production software engineering. The company is looking for someone who can operate across experimentation, model improvement, infrastructure, and technical leadership while remaining deeply hands-on. The Mission The company is building systems that help advanced AI models learn, improve, and perform reliably on increasingly complex tasks. That means creating reinforcement learning environments, generating high-quality training signal, evaluating model behavior, building reliable graders and verifiers, and developing the infrastructure required to run large-scale training and evaluation workflows. The work sits much closer to the underlying models and training lifecycle than traditional AI application development. The Role You will sit between research engineering and production Machine Learning Engineering, combining hands-on experimentation with Staff-level technical ownership. You will work on problems across reinforcement learning, post-training, agent training, evaluation, and ML infrastructure. Projects move quickly, and you may move between running experiments, designing systems, writing production code, setting technical direction, and leading other engineers through ambiguous technical problems. The existing team has strong implementers. This hire is intended to bring another level of technical judgment, helping determine what should be built, how it should be designed, and how the team should execute. What You'll Do • Design and build reinforcement learning environments for agentic tasks., • Develop task definitions, tool interfaces, reward structures, state management, and evaluation logic., • Build post-training and fine-tuning pipelines across supervised fine-tuning and reinforcement learning., • Develop verifiers, graders, rubrics, and evaluation systems for complex model behavior., • Run and diagnose model-training experiments, including issues around reward quality, data quality, and training signal., • Build infrastructure capable of running large numbers of model and agent trajectories., • Develop production-grade ML systems across orchestration, reliability, fault tolerance, and experiment management., • Translate ambiguous technical problems into clear architectures and execution plans., • Set technical direction and influence other engineers while remaining deeply hands-on., • Use modern AI development tools while maintaining strong engineering judgment around the resulting systems. What You'll Bring • Strong hands-on Machine Learning Engineering experience., • Practical experience with model post-training or fine-tuning., • Experience with SFT and at least one RL or preference-optimization approach such as GRPO, PPO, DPO, or similar., • Experience with agent environments, model evaluation, reward design, verifiers, graders, or adjacent areas., • Strong Python skills and production software engineering fundamentals., • Experience with ML infrastructure, distributed systems, platform engineering, or data systems at scale., • Strong system design and architecture judgment., • Ability to diagnose why a model or training run is or is not improving., • Evidence of Staff-level technical leadership and influence across other engineers., • High agency and a track record of independently identifying important technical problems and driving them through to completion., • Comfort working in a fast-moving, ambiguous engineering environment., • Strong technical communication skills. Why Join? • Work directly on reinforcement learning, post-training, agent evaluation, and advanced ML infrastructure., • Operate closer to the underlying model-development lifecycle than traditional AI application engineering., • Combine research-oriented ML problems with real production engineering responsibility., • Stay deeply hands-on while having meaningful Staff-level influence over architecture and technical direction., • Work across a broad range of rapidly evolving AI problems rather than being siloed into one narrow technical area., • Join an engineering culture that values technical judgment, ownership, speed, and individual impact., • Build systems focused on measurable model improvement rather than isolated demos or API integrations. About People In AI We partner with AI-first startups, scale-ups, and enterprise organizations to connect exceptional engineers with opportunities to build production AI systems, intelligent platforms, and the next generation of AI infrastructure.

Build AI That Advances Science, Engineering, and Intelligent Systems Artificial Intelligence is entering a new era—one where AI systems can reason, learn, and accelerate innovation across science and industry. At Industrial Technology Research Institute (ITRI), we are developing next-generation AI technologies across AI Agents, Foundation Models, and Scientific AI. We are looking for talented AI Research Engineers who want to push the boundaries of AI and transform research breakthroughs into real-world impact. International candidates are welcome. Relocation assistance and work permit support are available. 📍 Location: Hsinchu, Taiwan What You'll Work On You will contribute to frontier AI research and development in areas including: Autonomous AI Systems • AI Agents, Agentic AI, reasoning, planning, and tool use, • Retrieval-Augmented Generation (RAG), • Memory, Skills, and Model Context Protocol (MCP) Foundation Models • Large Language Models (LLMs), • Multimodal AI and Vision-Language Models (VLMs), • Time-Series Foundation Models, • Reinforcement Learning, Transfer Learning, Diffusion Models, and model optimization Scientific AI • Physics-Informed Neural Networks (PINNs), • Neural Operators, • Flow Matching, • Scientific Machine Learning You will build AI systems across the research lifecycle—from experimentation and model development to evaluation and real-world deployment. What We’re Looking For We are looking for researchers and engineers who enjoy solving challenging AI problems. You may have experience with: • Deep Learning, Generative AI, Foundation Models, or AI Agents, • Python and PyTorch, • Model training, fine-tuning, evaluation, and data engineering, • Hugging Face ecosystem (Transformers, PEFT, Datasets, Tokenizers), • Open-source AI frameworks such as vLLM, LangChain, LlamaIndex, or LlamaFactory, • Mandarin speaker preferred Experience with C/C++ or high-performance AI systems is a plus. Why Join ITRI? Research Freedom Explore ambitious AI ideas, collaborate with leading researchers, and contribute to publications, patents, and open-source initiatives. Compute & Resources Access advanced GPU infrastructure, large-scale datasets, and engineering support to develop and evaluate state-of-the-art AI systems. Real-World Impact Your work will help bring frontier AI into applications spanning semiconductors, advanced manufacturing, robotics, healthcare, and scientific computing. Join Us in Building the Future of AI If you are passionate about advancing AI and solving problems that matter, we’d love to hear from you. [Meet ITRI at Taiwan Tech Summit & Taiwan Career Day 2026!] ITRI will be at Taiwan Tech Summit this fall, joining the Forum and Panel discussions. Come learn more about ITRI and hear from our team! Then, stop by our booth at Taiwan Career Day 2026 to meet our team and explore career opportunities at ITRI. • Date: September 26, 2026 (Saturday), • Time: 9:00 AM – 6:00 PM (PDT), • Location: Santa Clara Convention Center, • Register Now: _

Location: San Francisco Employment Type: Full-time Work Model: In-person About Verita AI Verita AI works with leading AI companies to identify model gaps and build the human data needed to improve model performance. Verita AI operates a vetted expert network that connects specialized professionals with leading AI laboratories and human-data companies. The network comprises more than 5,000 experts across finance, medicine, law, engineering, music, and other professional domains. We recently raised a $6 million seed round led by Kindred Ventures. About the Role We are hiring an Applied AI Researcher to work directly with clients on model evaluation and data strategy. You will evaluate model performance, identify failure modes, and recommend the datasets, rubrics, expert workflows, and quality controls needed to address them. You will then work with our operations and engineering teams to turn these recommendations into scalable data programs. What You’ll Do • Work with clients to understand their models, goals, and performance gaps., • Design evaluations for generative, multimodal, reasoning, tool-use, and agentic AI systems., • Analyze model outputs and benchmark results to identify and quantify failure modes., • Recommend data solutions such as supervised fine-tuning data, preference data, expert demonstrations, critiques, and evaluation datasets., • Write client proposals covering the methodology, data design, quality controls, staffing, deliverables, and expected impact., • Create annotation guidelines, scoring rubrics, gold-standard tasks, and evaluator-training programs., • Design pilot studies and measure whether data interventions improve model performance., • Build quality systems using calibration tasks, blind review, adjudication, and expert scoring., • Work with operations and engineering teams to launch and scale data pipelines., • Present findings and recommendations to clients. What We’re Looking For • Experience in applied AI research, machine learning, model evaluation, or data-centric AI., • Experience evaluating foundation models or generative AI systems., • Strong understanding of benchmark design, human evaluation, rubric development, and statistical analysis., • Ability to translate model failures into practical data solutions., • Strong Python skills and experience working with model APIs and structured datasets., • Familiarity with supervised fine-tuning, preference optimization, RLHF/RLAIF, reward modeling, synthetic data, or LLM-as-a-judge evaluation., • Strong technical writing and client communication skills., • Ability to independently structure and execute ambiguous research projects. Nice to Have • Experience at an AI lab, foundation-model company, AI data company, or post-training team., • Experience designing expert-data or human-evaluation programs., • Experience evaluating multimodal, coding, agentic, or tool-use systems., • Publications at conferences such as NeurIPS, ICML, ICLR, ACL, or EMNLP., • Previous client-facing research, consulting, solutions engineering, or forward-deployed experience., • Public research, code, benchmarks, or evaluation frameworks. Please make sure you have any relevant work samples, including model evaluations, benchmarks, error analyses, research, technical writing, or code repositories.

Logical Intelligence, we're revolutionizing software development with AI-powered formal verification. We've developed groundbreaking agents that provide mathematical guarantees of code correctness, ensuring that software behaves exactly as intended while proactively identifying bugs and security vulnerabilities. Our novel foundation model enables scalable, precise reasoning for formally verifiable code across Rust, Golang, and smart contract VMs. We’ve won a well-known formal verification benchmark called PutnamBench, which consists of 672 hard math problems from the William Lowell Putnam Exam, the oldest collegiate mathematics competition in North America. Backed by a world-class team – including ICPC champions, a Fields Medalist and an ACM Turing Award winner – we're building the future where all code is provably correct. About the role Join our team as an AI Researcher and help us push the boundaries of what's possible in logical reasoning! We’re looking for a motivated individual to build, maintain, and improve innovative approaches including (but not limited to!) energy-based modeling (EBM). You'll be at the forefront of designing and refining algorithms that go beyond the capabilities of traditional Large Language Models (LLMs), tackling complex reasoning challenges. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions. What you'll do • Research new reasoning algorithms and models, • Pre-train and fine-tune the State-of-the-Art LLMs, • Combine Reasoning algorithm and LLMs, • Build effective and efficient ML pipelines, • Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps, • Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution. Qualifications • M.Sc. or Ph.D. (preferable) focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field, • 5+ years of subject matter expertise and research in one or more of the following areas: Machine Learning, Deep Learning, Reasoning, Energy-based Modeling (preferable), • Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX, • Strong communication and teamwork skills, • Experience with explicit and implicit reasoning, • Demonstrated research publications in any of the major conferences (CVPR, ICLR, ICML, NeurIPS, ICCV, AAAI, ACL, etc. Bonus Points • Provable record of Energy-based usage for different problems, • Hands-on with algorithms used to train Energy-based models, • Multi-node and multi-GPU training, • Mathematical Reasoning – discrete math and logic, • Formal Verification - lean

CEPTON (A Koito Group Company, Automotive Tier1), a leading intelligent lidar solution provider, is seeking a seasoned R&D Machine Learning Research Scientist who is passionate about solving challenges related to advanced sensor technology to join us. Working as part of our brilliant R&D team, you will work in a dynamic and collaborative work environment for the advanced LiDAR product and sensor fusion system driven by the robust embedded system for automotive and non-automotive customers. Here at CEPTON, we use technology to make some difficult problems easy and some impossible tasks become feasible. We value one's ability to learn higher than the knowledge one has acquired in the past. We enjoy solving hard problems together. As we are at the cutting edge of technological advancement, join us if you are willing to work with like-minded people to face the challenges posed by the new era of technology, together with opportunities to work with strong industry leaders in the fields of automotive OEM, ADAS, and AI applications. Responsibilities • Design novel neural-network architectures from first principles for LiDAR-oriented ADAS perception systems., • Develop, train, and systematically optimize deep-learning models, including architecture exploration, hyperparameter tuning, and rigorous experimental evaluation., • Develop scalable approaches for automated data labeling, data quality improvement, and efficient use of large sensor datasets., • Apply physical intuition and first-principles reasoning to the modeling of dynamic, three-dimensional environments., • Work across machine learning, sensing, and embedded-system boundaries to ensure that research methods are grounded in real-world system behavior., • Investigate multimodal sensor fusion and the effects of sensor timing, synchronization, latency, and data alignment on model performance. Qualifications • PhD or postdoctoral research experience in physics, AP, EE, applied mathematics, CS, machine learning, or a closely related technical field., • Strong foundation in physics, dynamical systems, or mathematical modeling of physical systems., • Demonstrated ability to design neural-network architectures from scratch rather than relying solely on established or off-the-shelf models., • Strong understanding of deep-learning fundamentals, training dynamics, optimization methods, and experimental methodology., • Proficiency in Python and hands-on experience with PyTorch or TensorFlow., • Working knowledge of hardware-integrated sensing systems, including Precision Time Protocol (PTP), multimodal sensor synchronization, and sensor data fusion., • Ability to conduct independent research, formulate ambiguous technical problems, and communicate findings clearly to multidisciplinary teams. Preferred Qualifications • Relevant publications in machine learning, computer vision, robotics, autonomous systems, physics-informed learning, or related fields., • Hands-on experience with lidar, cameras, inertial sensors, or other sensing hardware used in robotics or ADAS applications., • Experience with sensor calibration, coordinate transformations, time alignment, and synchronization diagnostics., • Experience training and evaluating models on GPU servers or multi-GPU systems, including distributed or large-scale training workflows., • Familiarity with Rust and an interest in implementing or integrating research methods in performance-sensitive systems., • Experience developing automated annotation, active learning, data mining, or dataset curation systems., • Prior experience applying machine learning to safety-critical, real-time, or physically embodied systems. Compensation and Employment Options This role is available as either a full-time employee or a contractor, depending on candidate preference and business needs. • Full-time employee Salary range: $180,000 to $220,000 annually Comprehensive benefits package, including medical, dental, vision, life, disability, and more Paid time off and paid holidays 401(k) and Flexible Spending Account • Contractor Rate: $100/hour Up to 40 hours per week -- CEPTON Technologies is an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state or local protected class. About CEPTON Technologies (www.cepton.com): CEPTON Technologies is a 3D sensing solutions provider shipping next generation lidar products for the automotive, industrial and mapping markets. Cepton’s lidar technology delivers unrivaled performance and resolution at low cost, to enable perception for the smart machines of tomorrow.

Kotoba's speech models are licensed to Fortune 50 companies and US big tech, and power an app reaching 2,000–3,000 new users a day. We're hiring an AI Researcher to build the next generation of real-time, interactive voice AI. Location: San Francisco. You'll work on full-duplex speech-to-speech, speech-to-text, and text-to-speech systems — models that don't just understand and generate high-quality speech, but hold the flow of a conversation: turn-taking, interruptions, overlapping speech, backchannels, response timing, prosody, and latency. Your work runs the full research lifecycle, from framing the question through distributed training, evaluation, and production deployment. ■ About Kotoba Kotoba is a generative AI company on a mission to become the default for voice AI in East Asia. At our core is a low-latency, high-accuracy speech translation model that connects conversations so naturally it feels as though both speakers share the same language, supporting Japanese, English, Korean, Chinese, Spanish, and other major language pairs. We also build ultra-low-latency speech-to-text and text-to-speech models that run everywhere from the data center to edge devices, and we license this foundational technology to Fortune 50 companies and major US tech firms. We work from two hubs: Tokyo and San Francisco. Our own product, the Kotoba app, is available on iOS and Android. Since launch it has grown to a steady 2,000–3,000 new downloads per day and reached No. 1 in its App Store and Google Play category, ahead of the likes of Google Translate. Enterprise adoption is accelerating in Japan, and the app has supported nearly 100 live events including SusHi Tech Tokyo. Kotoba was founded in 2023 by two Japanese generative AI researchers with PhDs from top US universities. We've raised over ¥3 billion (roughly US$23M) from prominent VCs in Japan and the US — including Kindred Ventures and Globis Capital Partners — and from the corporate venture arms of leading US and Japanese enterprises. We also receive strong government support in Japan for AI model training. ■ What you'll do • Define and execute research projects for next-generation voice AI across speech-to-speech, speech-to-text, and text-to-speech systems, • Develop full-duplex conversational models that listen and speak simultaneously while handling turn-taking, interruptions, overlapping speech, backchannels, and end-of-turn prediction, • Improve the accuracy, naturalness, expressiveness, multilingual robustness, and streaming latency of speech recognition and speech generation models, • Conduct multilingual and cross-lingual research, particularly for Japanese, Korean, Chinese, English, and other languages central to our products, • Explore architectures that orchestrate speech, language, reasoning, retrieval, and tool-use models behind a unified real-time voice interface, • Build and scale model training and inference pipelines on distributed GPU infrastructure, optimizing models for low-latency deployment, • Work with research, product, and infrastructure engineers to move promising research into our applications, APIs, SDKs, and customer projects ■ What we're looking for Required • A PhD or equivalent research experience in machine learning, speech processing, natural language processing, multimodal AI, human-computer interaction, or a closely related field, • A strong research track record, demonstrated through publications at leading conferences or journals in machine learning, speech, NLP, or related areas, • Deep expertise in at least one relevant area: speech-to-speech modeling, speech translation, spoken dialogue systems, speech recognition, speech generation, multimodal foundation models, large language models, or AI model orchestration, • Hands-on experience designing, implementing, training, and evaluating modern neural models in PyTorch or JAX, • Strong knowledge of modern speech and language architectures, including transformers, streaming models, autoregressive and non-autoregressive models, and foundation-model training, • The ability to formulate original research questions, design rigorous experiments, analyze results critically, and turn promising ideas into working systems, • Familiarity with large-scale model training, inference, data pipelines, distributed computing, and GPU-based experimentation, • Strong written and verbal communication, including professional proficiency in English Preferred • Research experience in full-duplex speech-to-speech, speech recognition, or speech generation — particularly turn-taking, interruptions, backchannels, dialogue timing, or conversational fluency, • Research experience involving Japanese, Korean, Chinese, or other East Asian languages, including multilingual or cross-lingual modeling, • Knowledge of audio tokenization, neural audio codecs, streaming speech recognition, streaming speech generation, or low-latency speech architectures, • Experience with distributed training and efficient inference for large speech, language, or multimodal models, • Research experience with systems that orchestrate multiple models, agents, retrieval components, reasoning modules, or external tools, • Previous experience at an industrial research lab, major AI organization, technology company, or research-driven startup, particularly transferring research into production, • A record of open-source contributions ■ Location San Francisco

Molecular Biologist Position: Molecular Biologist Type: Contract Compensation: $60–$9100/hour Location: Remote About the Opportunity : This opportunity is for experienced Molecular Biologists with expertise in molecular biology, genetics, gene editing, DNA/RNA analysis, and laboratory research to contribute to advanced AI research and evaluation projects. You'll apply your scientific expertise to evaluate expert-level biological content, assess AI-generated outputs, and help improve the accuracy, reasoning, and performance of next-generation AI systems. No prior AI experience is required. Your molecular biology expertise and research experience are the primary qualifications for success in this role. Professionals with hands-on experience in CRISPR, PCR, cloning, sequencing, genomics, and molecular diagnostics are especially encouraged to apply. Responsibilities • Conduct and evaluate molecular biology research involving DNA, RNA, proteins, and gene expression., • Review and assess AI-generated scientific content for technical accuracy, completeness, and scientific reasoning., • Apply expertise in PCR, qPCR, cloning, sequencing, CRISPR gene editing, genotyping, and molecular assays., • Analyze DNA/RNA sequences, molecular pathways, genetic variation, and cellular mechanisms., • Design, interpret, and evaluate molecular biology experiments and laboratory workflows., • Translate complex molecular biology concepts into clear, structured documentation for AI training and evaluation., • Collaborate with interdisciplinary teams to ensure scientific accuracy, consistency, and data quality., • Apply structured evaluation frameworks and scientific judgment to improve AI model performance. Required Qualifications • Bachelor's degree or higher in Molecular Biology, Genetics, Biotechnology, Cell Biology, Biochemistry, or a related Life Sciences discipline., • Strong hands-on experience with molecular biology techniques, PCR, DNA/RNA extraction, cloning, sequencing, and gene expression analysis., • Experience working in laboratory or wet lab research environments., • Excellent scientific reasoning, analytical thinking, and problem-solving skills., • Strong written and verbal communication skills with exceptional attention to scientific detail., • Ability to work independently in a fully remote environment. Preferred Qualifications • Master's degree or PhD in Molecular Biology, Genetics, Biotechnology, Biochemistry, or a related field., • Experience with CRISPR, genomics, transcriptomics, bioinformatics, synthetic biology, or molecular diagnostics., • Familiarity with AI, machine learning, scientific data annotation, or AI model evaluation., • Experience developing scientific evaluation frameworks, quality assurance processes, or research review standards., • Experience collaborating with cross-functional or remote research teams. Compensation • Competitive compensation of $60–$100/hour., • Weekly payments., • Independent contractor engagement. Application Process • Easy Apply on LinkedIn, • Check Email for Next Steps, • Participate in Resume Evaluation & Interview Stage

Sköna is seeking a Motion Designer to be our first in-house motion hire, helping shape how motion shows up across client work, pitches, and internal brand storytelling. This is a hands-on role for someone who wants to do more than execute deliverables. You’ll help define our motion offering, establish scalable workflows and best practices, and influence how motion fits into the Agency at every level. As our first motion designer, you’ll collaborate closely with designers, writers, creative directors, and clients on a wide range of projects, from brand motion identities to campaign assets to product videos. You have a strong eye for craft, pacing, and detail, and understand how motion can elevate a brand when it’s integrated seamlessly into a larger creative idea. You’re comfortable owning projects end to end, moving fluidly from rough explorations to fully polished execution, managing multiple workstreams and adapting your motion style to fit a wide range of brands and executions. Come join us at Sköna We’re a small (but mighty) global creative agency with roots in Stockholm and a heart in San Francisco - think Scandinavian minimalism meets West Coast quirkiness. We help B2B and tech companies transform into brave brands through strategy, design, campaigns, events, and digital experiences. You won’t be a cog in a machine here. You’ll have real autonomy and a direct hand in shaping the brands of high-growth tech companies at the edge of AI and beyond. Our team runs flat, collaboratively, and with no room for bureaucracy. Culture isn’t a perk, it’s the point: we take work-life balance seriously, every day is “Bring Your Dog to Work Day”, and we unite our two global offices every year for a retreat. Ultimately, we are committed to providing an environment that allows you to both thrive and do meaningful work. Responsibilities • Design and animate motion graphics across brand systems, campaigns, social and digital assets, videos, pitches, and presentations, • Lead motion projects from concept to final delivery, including storyboarding, style exploration, animation, and production-ready exports, • Identify opportunities where motion can strengthen storytelling, user experiences, and creative concepts, • Help shape Sköna’s motion offering by establishing best practices, refining our motion process, and contributing to how we package motion work for clients, • Collaborate closely with creative directors, designers, copywriters, and producers to ensure motion is conceptually strong and well integrated into the final product, • Maintain consistency with brand and campaign guidelines where appropriate, while ensuring visual quality across all outputs, • Manage multiple projects and deadlines, delivering high-quality, production-ready work, • Support internal marketing efforts through design and animation of social media graphics, case studies, and agency reels, • Proactively identify opportunities for motion within existing brand and campaign platforms, • Collaborate with freelance motion designers or external partners when appropriate Requirements • 5–8+ years of professional motion design experience, ideally in an agency or studio environment, • Strong foundation in design and branding, with a keen eye for typography, layout, composition, and visual hierarchy., • Strong portfolio demonstrating both conceptual thinking and high-quality execution, • Advanced proficiency in After Effects and strong animation fundamentals, • Proficiency with Adobe Creative Suite, • Strong foundation in design principles, with the ability to create compelling layouts, visual systems, and compositions across both motion and static applications, • Solid understanding of typography, layout, composition, and design systems, • Experience creating motion for branding, campaigns, and digital/social platforms, • Experienced in leveraging AI in your workflow, • Comfortable taking work from concept to final execution, • Proficient working within a collaborative creative team, • Bachelor’s degree in design, animation, or related field preferred Nice-to-Haves • 3D experience, C4D and Redshift, • Cavalry, • Rive, Lottie, • UI/UX and web prototyping experience 6 Signs That You Are the Right Candidate - Sköna's values • Creative problem solver - you have an entrepreneurial spirit, and you are proactive, • Dogged curiosity - you have a curious spirit, • Fun to work with - You make work fun and you have great people skills, • Humble confidence - You know what you know, own what you don't, • Team Sköna first - You defend the work, back the team, and push back when it matters, because clients come and go, but Sköna endures., • Embrace discomfort - you think outside the box and are open to new ideas, types of work, and ways of doing things. Benefits • Salary commensurate with experience, • 401(k) plan matching, • Competitive vacation policy + tenure program, • 10 work-from-anywhere days, • Paid federal company holidays + winter holiday closure, • Full medical/dental/vision package to fit your needs, • Commuter benefits, • Weekly team lunch and snacks provided, • Learning & development budget Salary Range $110,000 - $140,000 Sköna is an equal opportunity employer and does not discriminate on the basis of race (including traits associated with race, such as hair texture and hairstyles like braids, locs, and twists), color, religion, sex (including pregnancy), gender, national origin, citizenship, age, disability, veteran status, marital status, sexual orientation, or any other protected characteristic or combination of those characteristics.

AI Architect, AI & Automation About the Role The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience: • Experience architecting and implementing AI/ML solutions across multiple domains, including:, • Generative AI and Large Language Model (LLM) based solutions, • Predictive and prescriptive Machine Learning models, • Computer Vision, • Natural Language Processing (NLP) and Conversational AI, • Intelligent Document Processing (IDP / iOCR), • Agentic AI systems and multi-agent orchestration., • Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring., • Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques., • Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP)., • Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures., • Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines., • Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch., • Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI., • Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance., • Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures., • Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations., • Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation., • Travel to client sites and for practice work efforts is required on an as needed basis. Additional Consulting Responsibilities • Client Relationship and Development: Leads team interactions with clients, including clients at senior levels. Anticipates and proactively addresses client’s needs. Earns client’s respect and appreciation., • Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion., • Value and Expertise: Establishes focus area and concentrates deployment and delivery in that area. Establishes track record in focus area. Begins to contribute thought leadership and IP in focus area., • People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team members have skills needed to execute and deepen their expertise while on the project. Has counselees and meets them regularly. Helps them understand strengths and weaknesses, set realistic targets, and establish development plans that balance firm needs and personal aspirations., • Consulting Behaviours: Develops focus area or specialization. Builds personal brand. Leads and mentors others. Cares about development of junior consultants and invests in their progression. Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to enhance client solutions and identify new opportunities for Consulting work. Reads situations and adjusts personal approach accordingly. Adopts behavior and language appropriate to the situation, to stay effective in different environments. Stays abreast of market developments in practice or discipline. Identifies threats and opportunities and positions to meet them; proactively learns new skills and abilities to stay relevant., • Leadership and Firm Development: Leads delivery teams effectively, providing direction, guidance, motivation, course correction, and air cover as appropriate. Supports development of innovative thinking. Understands the Infosys Consulting business drivers and KPIs needed to build an effective and successful business. Represents Infosys through appropriate application of Infosys' sales and marketing materials/publications (service offerings, blog posts, etc.). Plays a key role in practice or firm-building activities. Takes bottom-line responsibility for firm building deliverables or activities., • Sales: Supports Associate Partners and Partners in pursuit and proposal work. Identifies opportunities from client work and relationships; raises them to appropriate Associate Partner or Partner for action. Basic Qualifications • Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or foreign equivalent required., • Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer), • Minimum of 10 years of relevant work experience with 2 years of experience in comparable consulting services., • Strategic mindset and the ability to lead and develop other team members., • Multitask, engage with stakeholders, plan effectively, and consistently achieve operational goals., • Excellent relationship-building abilities., • Ability to collaborate with resources in global delivery model., • Experience in leading programs using Agile and/or hybrid methodologies., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • MBA or equivalent advanced degree, Industry-related certification preferred., • Creative problem solver, • Strategic mindset and the ability to collaborate with other team members For candidates based out of CA, WA, NY, IL, MN,NJ states, estimated annual gross compensation range is $154,375 to $193,125 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level, • Paid holidays plus Paid Time Off EEO/About Us : About Us Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale. Infosys Consulting is helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Director of Product Management, AI Compensation: $300,000 - $325,0000 base + bonus Location: San Francisco, CA Join an established, privately held financial services company undertaking a major AI-first transformation of its customer journey and core operating processes. The Mission The company is reimagining historically manual and model-driven financial processes through a combination of AI agents, data science, analytical optimization, and automation. This is not an exploratory AI strategy position. The organization has executive sponsorship, an established roadmap, active production deployments, dedicated data science capabilities, and specialist AI engineering partners. The next stage is to build the internal AI product leadership required to accelerate execution, develop proprietary capabilities, and ensure that every technical investment supports a meaningful customer or business outcome. The Role You will work directly with the executive leading the AI program to co-author the product vision and design for a broad transformation of customer-facing financial workflows. You will also lead AI Product Managers and cross-functional delivery pods consisting of data scientists, AI engineers, systems specialists, operational leaders, and subject-matter experts. What You’ll Do • Co-author the company’s AI product vision, product design, and transformation roadmap alongside executive leadership., • Reimagine customer-facing financial processes through an AI-first product approach., • Lead the development of AI-enabled products across application processing, decisioning, sales, servicing, and related workflows., • Translate complex business problems into clear product strategies, technical requirements, and execution plans., • Lead and develop a small team of AI Product Managers responsible for individual transformation initiatives., • Direct cross-functional pods consisting of product, data science, engineering, operations, and functional experts., • Take products from initial process discovery and design through implementation, production deployment, measurement, and iteration., • Define how AI agents, traditional machine learning, analytical optimization, business rules, and human oversight should work together. What You’ll Bring • Meaningful recent experience designing, building, and shipping production AI products., • Demonstrated ownership of AI products from initial concept through production delivery and iteration., • Experience redesigning customer-facing processes rather than only building internal productivity tools., • Strong AI product judgment and the ability to identify where AI can materially change a workflow rather than simply adding AI features to an existing process., • A hands-on operating style and evidence of delivering products at a faster pace than is typical within large enterprises., • Strong executive presence and the ability to lead a room of senior, technical, analytical, and operational stakeholders., • Enough technical depth to challenge AI engineering architecture, data science plans, vendor recommendations, and implementation decisions., • Familiarity with AI agents, LLM-enabled workflows, machine learning, predictive modeling, automation, APIs, data systems, or related technologies. Why Join? • Take a central role in a company-wide AI transformation with direct executive and board-level support., • Join an organization that has moved beyond AI experimentation and is already seeing results from production deployments., • Help shape both the long-term strategy and the detailed product design behind critical AI systems., • Build proprietary AI capabilities tied directly to customer outcomes, risk decisions, revenue, and operational performance., • Lead a new AI product function and establish how cross-functional AI initiatives are designed and delivered., • Work across product, data science, engineering, operations, and senior leadership., • Own meaningful, end-to-end transformation initiatives rather than one isolated feature or process. About People In AI We partner with AI-first startups, scale-ups, and enterprise organizations to connect exceptional product and technical leaders with opportunities to build production AI systems, intelligent platforms, and the next generation of enterprise AI.

About Us GMI Cloud is a fast-growing AI infrastructure company backed by Headline VC and one of only seven cloud providers worldwide to earn NVIDIA’s prestigious Reference Platform Cloud Partner designation . We operate 8 of our own GPU clusters across the U.S. and Asia, delivering a full spectrum of services from GPU compute service to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments. We empower AI startups and enterprises to “build AI without limits,” providing everything they need to prototype, train, and deploy AI models quickly and reliably. GMI Cloud is building the leading inference optimization solution and the most advanced token platform in the global token market — and we are hiring world-class Machine Learning Engineers to make GMI the new industry benchmark for LLM serving performance, cost efficiency, and production reliability. This role is for engineers who want to live at the frontier of LLM inference systems. You will drive the research, validation, and productionization of the most advanced inference optimization techniques, and turn them into real competitive advantage over top open-source baselines (vLLM, SGLang, and so on). Our charter is not just to adopt what's published — it is to define the recipes, ship the optimizations, and contribute back to the community that the rest of the industry follows. You will focus on B200-first optimization, with support for H200 evolution, across core domains including quantization, speculative decoding, KV cache and memory management, prefill/decode disaggregation, and system-level inference optimization. You will work closely with platform and infrastructure teams to transform cutting-edge ideas into measurable gains in latency, throughput, cost efficiency, and production scalability. Key Responsibilities • Drive frontier research and engineering in LLM inference optimization across one of the four focus tracks (Speculative Decoding, Quantization, PD Disaggregation, KV Cache & Memory) while contributing across the full optimization stack., • Develop next-generation optimization strategies for large-scale LLM serving across model execution, runtime systems, and production inference platforms — with B200 as the primary target and H200 as a continuing platform., • Advance state-of-the-art techniques in quantization (NVFP4 / MXFP4 / FP8, QAT), speculative decoding (EAGLE-3, MTP, DFlash, ModelOpt, SpecForge), KV cache & memory management (LMCache / HiCache / NV KVBM, paged attention, prefix-aware routing), and PD disaggregation (NVIDIA Dynamo, KV-aware router/planner, fault recovery)., • Drive system-level optimization across scheduling, batching, routing, gateway orchestration, adapter serving, and end-to-end inference efficiency., • Build scalable optimization frameworks, performance methodologies, and benchmark infrastructure that allow GMI to stay ahead of the industry as models, hardware, and serving patterns evolve., • Productionize cutting-edge ideas into real customer workloads — measured by TTFT, ITL, throughput, goodput, tail latency, quality, and unit token cost., • Engage with and contribute to the open-source community (vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo / ModelOpt, FlashInfer, LMCache, etc.) — read upstream code, file issues, send PRs, and publish tech blogs and case studies., • Collaborate closely with platform, infrastructure, and product teams to make inference optimization a core technical advantage of GMI Cloud. Required Skills • Strong hands-on experience with LLM inference systems and performance optimization on modern GPUs., • Solid understanding of inference metrics and tradeoffs, including TTFT, ITL, throughput, goodput, tail latency, GPU utilization, memory efficiency, and quality/cost tradeoffs., • Experience with one or more modern serving stacks such as SGLang, vLLM, TensorRT-LLM, NVIDIA Dynamo, or Triton., • Deep familiarity with GPU-based inference, model serving architecture, and production bottlenecks around compute, memory bandwidth, KV-cache behavior, and scheduling., • Demonstrable depth in at least one of the four focus areas: speculative decoding, quantization & precision, PD disaggregation, or KV cache & memory management., • Strong experimentation skills: able to design benchmarks, interpret results, debug regressions, and produce actionable conclusions rather than isolated microbenchmark wins., • Proficient with Claude Code at an advanced level — fluent with sub-agents, MCP servers, hooks, custom slash commands, and skills — with practical experience leveraging them for rapid iteration, profiling, observability, and performance debugging., • Clear communication — able to explain technical tradeoffs to engineers and cross-functional stakeholders, and willing to publish results externally. Preferred Qualifications • 2+ years of hands-on experience in LLM inference optimization, ML systems optimization, or PhD degree in related areas., • Track record of large-scale model serving optimization (latency reduction, throughput improvement, memory efficiency, cost-performance tuning) in production., • Specific track depth in one or more of:, • Speculative Decoding: EAGLE-3 / MTP / DFlash / Medusa / SpecForge / ModelOpt; experience training and shipping draft models for production., • Quantization & Precision: NVFP4 / MXFP4 / FP8 / INT4-AWQ / GPTQ; QAT pipelines on Blackwell or Hopper; rigorous accuracy benchmarking., • PD Disaggregation: NVIDIA Dynamo, KV-aware router/planner, large MoE serving (DeepSeek-V3/V4, Kimi, GLM, Minimax), fault recovery, autoscaling., • KV Cache & Memory: LMCache / HiCache / NV KVBM, paged attention internals, prefix-aware routing, long-context and agentic workloads., • Familiarity with FlashInfer, Blackwell MLA, FA4, TRT-LLM MLA, or NSA is a strong plus., • Open-source contributions to vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo / ModelOpt, FlashInfer, LMCache, or related projects., • Experience publishing technical blogs, case studies, or papers on inference optimization.

We are looking for an experienced Technical Program Manager to lead complex, cross-functional AI and machine learning initiatives. In this role, you will work closely with research, engineering, product, and infrastructure teams to help bring advanced AI capabilities from research and development into production. The ideal candidate combines strong technical program management experience with a solid understanding of the machine learning lifecycle, MLOps, model development, evaluation, and production deployment. What You'll Be Doing • Lead cross-functional AI initiatives across research, engineering, infrastructure, and product teams., • Drive the execution and delivery of agentic AI, machine learning, and related AI capabilities., • Coordinate programs across the full ML lifecycle, including data preparation, training, evaluation, deployment, and production monitoring., • Drive MLOps capabilities supporting reproducible training, experiment tracking, model versioning, evaluation, release automation, and monitoring., • Manage model-development dependencies involving datasets, compute capacity, training infrastructure, inference platforms, and evaluation tooling., • Coordinate model evaluations across accuracy, quality, latency, robustness, reliability, safety, and production-readiness criteria., • Support speech and conversational AI initiatives, including areas such as automatic speech recognition, text-to-speech, speech translation, audio understanding, and conversational AI., • Partner with engineering teams on sprint planning, stand-ups, sprint reviews, and retrospectives., • Work with engineering and product teams to shape roadmaps, establish plans of record, define milestones, and drive execution., • Translate research concepts and technical objectives into actionable execution plans and production-ready capabilities., • Lead readiness reviews and ensure technical issues result in remediation, retesting, or clearly documented decisions., • Manage dependencies, risks, milestones, and resource requirements across multiple AI programs., • Identify opportunities to improve model-development velocity, operational efficiency, reproducibility, and release quality., • Establish program management and development best practices that improve team productivity., • Provide concise executive-level program updates covering progress, risks, tradeoffs, resource requirements, and key decisions. What We're Looking For • Bachelor's degree or equivalent practical experience in Computer Science, Engineering, Data Science, or a related technical field., • 8+ years of experience in technical program management, engineering, product development, technical operations, or a related field., • Demonstrated experience leading complex, cross-functional software, infrastructure, AI, or machine learning programs., • Working knowledge of the machine learning lifecycle, including data preparation, training, evaluation, deployment, and monitoring., • Experience managing technical dependencies across research, engineering, infrastructure, and product organizations., • Strong ability to translate technical objectives into measurable roadmaps, milestones, and execution plans., • Excellent communication skills with the ability to work effectively with highly technical teams as well as senior and executive stakeholders., • Strong organizational and program management skills., • Demonstrated success working in ambiguous, fast-moving, and rapidly evolving technical environments. Preferred Qualifications • Strong understanding of Large Language Models, including model architectures, development frameworks, and evaluation methodologies., • Familiarity with AI ecosystems and platforms such as OpenAI, Anthropic, Hugging Face, or similar technologies., • Experience managing speech, audio, conversational AI, or multimodal model development from research through production deployment., • Understanding of how data quality, model architecture, training infrastructure, evaluation methodology, and inference systems impact model performance., • Experience building or scaling MLOps processes that improved development speed, reproducibility, operational efficiency, or release quality., • Experience managing multilingual datasets, model variants, and evaluation coverage across different products or markets., • Experience coordinating large-scale model training programs with significant compute and infrastructure dependencies., • Ability to convert research uncertainty into an actionable roadmap without introducing unnecessary process., • Experience aligning research, engineering, product, and infrastructure teams around major model or AI product releases., • Strong ability to communicate complex technical risks, dependencies, and tradeoffs to leadership.

Title: AWS Data & AI Solution Architect Location: San Francisco, CA (Remote Plus Travel) Fulltime Position Job Description: This is a leadership role within the Client Enterprise Solutions Unit (ESU) involving proactive value creation, digital innovation, and enterprise transformation for global clients. We are seeking an experienced AI Architect specializing in SAP ecosystems to define AI strategy, architect intelligent business solutions, and drive enterprise-scale AI adoption across SAP landscapes. The architect will be responsible for designing and implementing innovative AI-powered business capabilities leveraging SAP business processes while utilizing SAP and non-SAP AI platforms. The ideal candidate will bring deep expertise in Generative AI, Agentic AI, Enterprise AI Architecture, Data Platforms, and AI Governance while understanding complex SAP environments including S/4HANA, ECC, BTP, SuccessFactors, Ariba, IBP, Datasphere, and SAP Business Network. The role requires the ability to identify business transformation opportunities and architect solutions using leading AI platforms such as Microsoft Azure AI, Azure OpenAI, OpenAI, Google Vertex AI, AWS Bedrock, Databricks Mosaic AI, NVIDIA AI, Anthropic Claude, and other enterprise AI technologies integrated with SAP systems. Roles & Responsibilities AI Strategy & Enterprise Architecture • Define enterprise AI strategy for SAP-led transformation programs., • Establish AI architecture principles, governance standards, and adoption frameworks., • Create enterprise AI roadmaps aligned with business outcomes and transformation objectives., • Advise CXOs and business leaders on AI-driven operating models and intelligent enterprise initiatives., • Define AI reference architectures, reusable accelerators, and implementation patterns. SAP AI Solution Architecture • Design AI-enabled business processes across: o SAP S/4HANA o SAP BTP o SAP SuccessFactors o SAP Ariba o SAP IBP o SAP EWM o SAP Datasphere o SAP SAC • Architect embedded, side-by-side, and standalone AI solutions for SAP landscapes., • Design AI-enabled user experiences integrated into SAP Fiori and enterprise workflows., • Define event-driven AI architectures integrated with SAP business events. Non-SAP AI Platform Integration • Lead solution architecture leveraging: o Microsoft Azure AI Services o Azure OpenAI o OpenAI GPT Models o Google Vertex AI o AWS Bedrock o Anthropic Claude o Databricks Mosaic AI o NVIDIA AI Enterprise o Hugging Face Ecosystem • Design integration patterns between SAP systems and external AI platforms., • Establish API, agent, and orchestration frameworks connecting AI services with SAP business applications., • Define enterprise architecture for multi-model and multi-platform AI deployments. Agentic AI Architecture • Design autonomous and semi-autonomous AI agents supporting SAP business processes., • Architect digital workforce solutions for: o Finance o Supply Chain o Procurement o Manufacturing o HR o Customer Service • Establish agent orchestration, decision frameworks, and governance models., • Design Retrieval-Augmented Generation (RAG) architectures leveraging SAP and enterprise data sources. Data & AI Engineering • Define enterprise data architecture supporting AI initiatives., • Design AI-ready data foundations leveraging: o SAP Datasphere o SAP HANA Cloud o Databricks o Snowflake o Azure Data Platform • Define semantic layer, vector databases, knowledge graphs, and AI data pipelines., • Ensure data quality, lineage, governance, and observability standards. AI Governance, Risk & Compliance • Establish Responsible AI framework and governance controls., • Define AI security, privacy, explainability, and compliance models., • Lead risk assessments for AI implementations., • Define monitoring and model lifecycle management strategies. Leadership & Stakeholder Management • Mentor architects, consultants, and technical teams on enterprise AI adoption., • Conduct architecture governance reviews and solution quality assessments., • Collaborate with SAP functional teams, business stakeholders, hyperscalers, and AI platform vendors., • Lead executive workshops, innovation sessions, and AI strategy discussions. Presales & Innovation • Support AI opportunity identification, solutioning, and proposal development., • Create value realization frameworks and business cases for AI investments., • Participate in client innovation programs and executive advisory engagements., • Drive development of AI accelerators, assets, and reusable industry solutions. Required Qualifications • Bachelor's or Master's Degree in Computer Science, Engineering, Information Systems, Data Science, or related discipline., • 15+ years of enterprise technology architecture experience., • 10+ years of SAP architecture and transformation experience., • 5+ years of experience designing AI and Machine Learning solutions., • Strong understanding of SAP business processes and enterprise architecture., • Proven experience integrating enterprise AI platforms with SAP applications., • Experience architecting Generative AI, Agentic AI, and RAG solutions., • Experience with enterprise-scale AI governance and security frameworks., • Strong knowledge of cloud platforms including Azure, AWS, and Google Cloud. Mandatory Technical Skills SAP • SAP S/4HANA, • SAP BTP, • SAP Datasphere, • SAP HANA Cloud, • SAP Integration Suite, • SAP Fiori AI Platforms • Azure OpenAI, • OpenAI APIs, • Google Vertex AI, • AWS Bedrock, • Anthropic Claude, • Databricks AI Platform, • NVIDIA AI Enterprise AI Technologies • Generative AI, • Agentic AI, • RAG Architecture, • LLM Orchestration, • Prompt Engineering, • AI Agents, • Semantic Search, • Vector Databases, • Knowledge Graphs, • AI Governance Development Technologies • Python, • APIs, • LangChain, • Semantic Kernel, • AI Foundry, • MCP Frameworks, • REST Services Preferred Certifications • SAP BTP Certification, • SAP Solution Architect

Who are we? Whatfix is an AI platform advancing the “userization” of enterprise applications, empowering companies to maximize the ROI of their digital investments. Technology needs adoption. It’s no different for AI. As AI reshapes roles, workflows, and human-machine interactions, it also introduces new layers of complexity and user friction. This is where Whatfix plays a pivotal role. A decade old DNA of empowering people to succeed with technology and not replacing them. We call this philosophy Userization: the belief that technology must adapt to the user, not the other way around. At the heart of userization philosophy is ScreenSense, our proprietary AI engine, which continuously interprets both the context of what users are doing in an application or an AI tool and the intent behind their actions. By combining these signals, Whatfix delivers real-time guidance, nudges, knowledge, and automation directly in the flow of work. This intelligence powers our entire product suite. • Digital Adoption helps users get productive faster., • Product Analytics uncovers friction and closes adoption gaps., • Mirror allows employees to train in safe, simulated environments. These are embedded with Whatfix AI Agents which supercharge creation, insights, and user guidance. Our upcoming AI-first products are already creating a buzz in the market. • Seek is an AI-native assistant that not only knows your business context but can also act across applications to get work done on your behalf., • Whatfix Mirror 2.0 is the world’s only System plus Role simulation with a complete assessment to lead the Gen AI simulation category. Together, these products reflect Whatfix’s commitment to building enterprise-ready AI teammates that maximize productivity and ROI. It gives users a unified, intelligent way to find answers across systems, apps, and knowledge silos and helps anyone looking to deliver fast and contextual answers. Whatfix is bridging the gap between rapid technological change and human enablement—ensuring AI is not only embedded but also usable, trusted, and outcome-driven for every employee. At Whatfix, we’re not just making software easier—we’re making AI work for people. The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries. Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions. Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD led by Warburg Pincus, with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer, Peak XV Partners, and Stellaris Venture Partners. Whatfix’s leadership is consistently recognized across top industry analysts and business rankings: • Won the 2025 _ for the Overall AI-based Analytics Solution of the Year, • Only DAP to be recognized as a “Leader” across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group., • With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards., • Named a Gartner Customers’ Choice for DAP for the second year in a row (2024 and 2025)—the only vendor in the market to earn this distinction consecutively., • We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8%, • _ Award winner in the category (Bronze): Customer Service Department of the Year – Computer Software - 100 or More Employees., • Winner of the _Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category., • _ winner for “Software Asset Management Solution of the Year” These recognitions are matched by business performance: • Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fifth Consecutive Year, • Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list., • Won the Silver for Stevie's Employer of the Year 2023 – Computer Software category and also recognized as Great Place to Work 2022-2023, • Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal Are you a seasoned sales hunter with a track record of landing and expanding enterprise deals? Do you thrive on cracking complex sales cycles and delivering game-changing solutions? Join Whatfix, a leading data-driven digital adoption platform, and help organizations maximize the ROI of their software. At Whatfix, we live by the motto “Hustle Mode ON.” As an Enterprise Account Executive, you’ll sell directly to Fortune 500 companies across North America and drive our growth. The Opportunity • Consult with enterprise prospects to understand needs and architect Whatfix’s value proposition, • Drive engagement, quantify ROI, and ensure customer success, • Build brand awareness and generate a robust sales pipeline, • Sell a category-leading solution in a vast market, • Work closely with our Co-Founder and CRO for 1:1 mentorship and collaboration Culture for Sales Experts • Entrepreneurial, collaborative San Jose office with access to founders, • Partner with sales development, solutions consulting, marketing, and product teams, • Continuous learning and development opportunities, • Leverage our employee value proposition (full perks below) What You’ll Bring • 3+ years SaaS enterprise sales experience with proven hunting, negotiating, and closing skills (ARR $50K–$500K+), • Strong executive presence with C-suite relationship experience, • Experience selling to CRM, HR, L&D, Procurement, and IT stakeholders, • Detail-oriented, proactive, and CRM-savvy, • Intellectual curiosity, energy, charisma, and customer-centric mindset, • Willingness to travel 50%+ Perks & Benefits • Uncapped incentives + equity plan, • Mac shop—work with the latest tech, • Unlimited PTO + paid maternity leave, • Medical, Dental, Vision: Whatfix covers 80% of premiums, • HSA: $1,000 individual / $2,000 family, • Monthly cell phone stipend + daily UberEats lunches, • Learning & Development benefits, team/company outings, • Relocation and sponsorship available We believe the best ideas come from collaboration. Our teams work in-office 4 days a week to spark innovation, build community, and stay connected. U.S. teams start their days early to stay aligned across time zones, keeping collaboration high and evenings free! OTE range $250K to $280K. We recognize the importance of flexibility in balancing personal and professional priorities. To support this, employees have the option to work from home up to two days each month. Cultural Principles: Customer First | Empathy | Transparency | Fail Fast & Scale Fast | No Hierarchies | Deep Dive & Innovate | Trust as the Foundation | Do It as You Own It Whatfix is an Equal Opportunity Employer and E-Verify participant, complying with all EEO and ADA regulations.

$10,000.00 Sign on Bonus Available! \n\n \n \n \n \n \n \n \n \n Payment is in 3 increments: \n \n • $3,000 after 6 months\n, • $3,000 after 9 months \n, • $4,000 after 1 year\n \n Must be hired for a San Jose, CA location. \n Sign-on bonus not applicable to internal employees. \n \n \n \n \n \n \n \n \n \n\n Join an elite group of sales professionals bringing customized, white glove experiences directly in the customer’s home. Field Sales Representatives at AT&T are driven to connect – every interaction is an opportunity to introduce the latest technology and services, thriving on the challenge to make your sales goals happen. With uncapped commission potential, your career and the rewards that come with it are within reach. Enjoy uncapped commission potential as a Field Sales Representative, with top earners having the opportunity to make $100,000. \n Our new Field Sales Representatives earn between $61,800 to $100,000, including the salary and our uncapped commission opportunities. Individual starting salary within this range may depend on geography, experience, expertise, and education/training. Salary range is dependent on if all sales goals are met and/or exceeded. \n \n You’ll be the face and voice of AT&T to your customers, working independently to deliver personalized sales interactions at scheduled appointments provided to you. You’ll close the deal by offering hands-on demos, Wi-Fi assessments, tech delivery and issue resolutions - keeping customers connected to what matters most to them. \n How you get the job done: \n\n • We’ll kick things off with paid training –setting you up for success to work independently in the field. Coaching, mentoring and ongoing learning opportunities will keep you on track and tech-savvy\n, • You’ll connect with our existing customers daily. AT&T will provide scheduled appointments, giving you the opportunity to engage with warm prospects effectively.\n, • You’ll use strong negotiation and communications skills – you know how to make a smooth pivot, and are highly motivated to get it right and make the sale\n\n Key expectations to succeed: \n\n • \n 1+ years of commission sales and outside sales experience highly preferred \n • Demonstrated success in commission sales and achieving sales targets\n, • Proficient in upselling techniques that enhance customer value and satisfaction\n, • Strong verbal communication skills with an ability to build rapport quickly\n, • Maintain a valid driver’s license—be ready to drive, as we provide a company vehicle for official business use only\n, • Work a varied schedule designed to meet customers on their timeline –this includes evenings, weekends, and holidays\n, • Employment is contingent upon successful completion of a background check, including drug screening, criminal history, and motor vehicle record\n\n \n If you are considering jobs like Direct Sales Representative, Residential Sales Representative, Territory Sales Representative or Field Sales Executive – Home Solutions, this career move would be a great fit! \n \n Joining our team comes with amazing perks and benefits: \n\n • Medical/Dental/Vision coverage\n, • 401(k) plan\n, • Tuition reimbursement program\n, • Paid Time off and holidays (With some exceptions, bargained employees qualify for one week of PTO after 6 months of service and 2 weeks after the first year). At least 6 company designated holidays and additional PTO (based on bargaining group to which you are hired.\n, • Sick leave\n, • Paid Parental Leave\n, • Adoption Reimbursement\n, • Disability Benefits (short term and long term)\n, • Life and Accidental Death Insurance\n, • Supplemental benefit programs: critical illness, accident hospital indemnity/group legal\n, • Employee Assistance Programs (EAP)\n, • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone\n, • A company paid device and service plan, giving you first-hand expertise with our latest technology.\n\n Ready to take your career on a new route? Apply today. \n #ConnectingOurCommunities \n \n Candidates with arrest or convictions records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles Fair Chance Initiatives for Hiring Ordinance, and the California Fair Chance Act. \n \n Relevant Material Job Duties for which Criminal History may have a direct adverse, and negative relationship potentially resulting in the withdrawal of the Conditional Offer of Employment \n \n Contact with Customers/Candidates/Clients \n Safety Sensitivity (Vehicle/Tool/Machine Operation - if applicable) \n Handling/Proximity to Sensitive Information \n \n Weekly Hours: 40\n \n Time Type: Regular\n \n Location: San Jose, California\n \n AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. This is a hybrid role available in multiple cities/states within the United States. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from various locations to apply and encourage you to review the following cities where this opportunity may be available: New Brunswick, NJ; Raritan, NJ; Titusville, NJ; Fort Washington, PA; Horsham, PA; Spring House, PA West Chester, PA; Jacksonville, FL; Palm Beach Gardens, FL; Irvine, CA; and Santa Clara, CA. Purpose: At Johnson & Johnson, we use technology and the power of teamwork to discover new ways to prevent and overcome the world's most significant healthcare challenges. Our Corporate, MedTech, and Pharmaceutical teams leverage data, real-world insights, and creative minds to make life-changing healthcare products and medicines. We're disrupting outdated healthcare ecosystems and infusing them with transformative ideas to help people thrive throughout every stage of their lives. With a reach of more than a billion people every day, there's no limit to the impact you can make here. Are you ready to reimagine healthcare? Here, your career breakthroughs will change the future of health, in all the best ways. And you'll change, too. You'll be inspired, and you'll inspire people across the world to change how they care for themselves and those they love. Amplify your impact. Join us! JJT Co-op Program Overview: Our JJT Co-op Program is a comprehensive learning and professional experience in the technology space at one of the world's leading health care companies. Your application and area of interest will be used to determine which one of our many exciting positions best fit for you. Co-op positions are full-time opportunities expecting to last 6 months (January 11th June 21, 2027). Based on business needs, co-op positions could be either in-person or virtual. Our in-person positions are available at various J&J locations throughout the US. This program also works as a feeder pool to our Technology Leadership Development Program (TLDP) for full-time employment upon completion of your degree. Your position may involve a range of technology assignments. • Data Engineering & Analytics: Maximizing data in its raw format and elegantly engineering, transforming, modeling, visualizing, and streaming it into the fabric of modern products and outstanding customer experiences, • Artificial intelligence (AI): Create systems and solutions that can perform tasks that normally require human intelligence. These tasks include learning from data, reasoning, problem?solving, understanding language, recognizing patterns, and making decisions, • Decision Science (AI, ML, & Intelligent Automation): Artificial Intelligence, Machine Learning, and other automation technologies to help drive better decisions, automate processes, and eliminate manual activities, • Experience Design (UI/UX, Service Design): Focus on user-first approach, crafting experiences that are easy to use, beautiful, and purposeful; Looks at the human journey holistically to deliver a fully aligned, context-driven experience, and help products reach their audiences in a way that deeply resonates with them, • Scientific & Digital Health Technologies: Use of innovative health technologies combined with digital and virtual interactive capabilities to provide immersive experience for the patients and healthcare providers, • Customer (Digital) Experiences (CX, AR/VR): Developing systems and tools to enable customer interactions and collaboration, • Commercial Excellence: Developing systems and tools to enable commercial capabilities to serve the customer, • Software Engineering: Engineering custom, fast, clean, and reliable code that drives business outcomes, • Cloud, DevOps & Security: Architecture, Engineering, and Automation professionals focused on developing cloud policy as code, compliance as code, infrastructure as code, and continuous Integration (CI)/Continuous Deployment (CD) product pipelines, • Cybersecurity: Combination of people, policies, processes, and technologies employed by an enterprise to protect its cyber assets, • Device Engineering: Focused on developing medical-grade intelligent, connected devices and capabilities, • Product Manager: Focuses on planning and organizing a project and its resources using Rapid Cycle Model, Market Research, Product Design, Product Lifecycle Management, Product Testing, Requirement Analysis and Concept testing., • Digital (Agile) Mindset: Focus on Business agility, Agile delivery with a fail-fast mindset, and measurable outcomes Most assignments will include but not limited to the following responsibilities: • Work within specialized groups in the J&J Technology organization to build solutions for business partners and drive value, • Contribute individually and/or as a team member to support a designated technology area, • Work with key stakeholders to accomplish goals and objectives to support the J&J Technology project/program portfolio, • Build awareness and experience of key capability skills in support of the J&J Technology Strategy, • Conduct data and process analysis to support development of key solutions For consideration in the JJT Spring 2027 Co-op program, you must meet the following requirements: • Permanently authorized to work in the U.S., i.e., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future. Students currently on CPT, OPT, or STEM OPT usually require future sponsorship for long term employment and do not meet the requirements for this role unless eligible for an alternative long-term status that does not require company sponsorship, • Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework., • Be currently enrolled and pursuing a bachelor's or master's degree., • Preferred fields include Information Management, Information Technology, Computer Engineering, Management Information Systems, Computer Science, Software Engineering / Development, Data Science, Cybersecurity, Graphic Design or Mathematics., • Ability to work full time (40 hours a week) ~ January 11, 2027, through June 21, 2027, • Have a passion for a career in technology, • By start date, must be considered an undergraduate sophomore or above Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource. #JNJCoOp #JNJUndergraduate #JNJMasters #JNJTechnology The anticipated base pay range for this position is: The anticipated base pay for this position by grade level is $26.00/hour Sophomore, $28.00/hour Junior, $29.00/hour Senior, and $34/hour Masters. Additional Description for Pay Transparency: This position is overtime eligible. Interns may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, and holiday pay in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company's solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. We are looking to support our business development in the automotive domain. In this role, you will partner cross-functionally across Product, Engineering, Sales, and Marketing teams. This is a uniquely strategic and operational role with a mix of both internal and external-facing responsibilities. Engage with potential customers identified predominantly from other Applied Intuition's teams or organically based on the candidate's understanding of the ecosystem Use customer discovery sessions to understand customer requirements and understanding of potential solutions from Applied Intuition Host customer workshops and organize tailored demonstrations to explain Applied Intuition's solutions to customers Develop final customer solution with Applied Intuition's Product and Engineering teams for existing products, or support creation of new products for new concepts Iterate with customer on technical scope and business model, and guide the proposal through approvals at customer Plan revenue strategy and outlook for these specific solutions in both automotive and other adjacent domains 5+ years of prior experience in automotive interest in relevant domains to guide our customers on what are the best practices Bachelors degree Proven ability to work across stakeholders to execute complex projects Strong interest and capability to work with customers and drive customer engagements Excellent organizational and project management skills, with experience running multiple projects and deadlines effectively Experience working with automotive software technologies Experience working on a product at a startup from Series A to IPO Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 - $200,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

Strong background in machine learning, deep learning, NLP, and generative AI, with a focus on scientific or technical domains. We are a passionate, cross-functional team at the forefront of applying cutting-edge AI and machine learning to accelerate scientific and materials innovation. Stay current

Strong background in machine learning, deep learning, NLP, and generative AI, with a focus on scientific or technical domains. Stay current with advances in AI, machine learning, and materials science, and publish original research in top venues. We are a passionate, cross-functional team at the for