SECURING OUR TECHNOLOGYThe Air Force relies heavily on advanced computer and software systems, so it is paramount to keep those systems safe. It’s the job of Cyber Systems Operations specialists to design, install and support our systems to ensure they operate properly and remain secure from outside intrusion. These experts enhance our capabilities and provide us with the best and most secure systems so we can stay ahead of the curve in everything we do.REQUIREMENTSYou must meet several requirements before joining the Air Force. These concern your background, overall health and other standards set by the Air Force, Department of Defense and federal law.Minimum EducationYou must be 17–42 years of age, a U.S. citizen and obtain a qualifying ASVAB score. High School Students may start their application as early as the end of their junior year. ASVAB SCORE REQUIREMENTSGeneralQualificationsKnowledge of cyber system elementsCompletion of Cyber Systems Operations Initial Skills courseCompletion of a current Single Scope Background Investigation (SSBI)Completion of 7.5 weeks of Basic Military TrainingMust be at least 17, but has not reached age 42 on the date of enlistment

Type of Requisition:RegularClearance Level Must Currently Possess:ConfidentialClearance Level Must Be Able to Obtain:ConfidentialPublic Trust/Other Required:MBI (T2)Job Family:Software DevelopmentJob Qualifications:Skills:JCL, Microsoft Products, SASCertifications:NoneExperience:5 + years of related experienceUS Citizenship Required:YesJob Description:Software Developer AdvisorDeliver simple solutions to complex problems as a Software Developer Advisor at GDIT. Here, you’ll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you’ll make the end user’s experience your priority and we’ll make your career growth ours.At GDIT, people are our differentiator. As a Software Developer Advisor you will help ensure today is safe and tomorrow is smarter. Our work depends on Software Developer Advisor joining our team to design, code, test, deploy, and trouble shoot/debug software to assure our client meets all Federal financial standards and passes all GAO audits.HOW A SOFTWARE DEVELOPER ADVISOR WILL MAKE AN IMPACT Researches, designs, develops, and/or modifies enterprise-wide systems and/or applications software Have daily interaction with the team and client staff to identify requirements and issues to be resolved. Work with the team to discuss options and approaches. Participate in financial annual close planning. Respond to client requests for service via email and/or tickets to assure financial data passes all GAO audits. Use SAS skills to perform analysis as requested for client CFO staff. Peer review other team members SAS coding.WHAT YOU’LL NEED TO SUCCEED: Required Experience: 5+ years of SAS/JCL coding. Knowledge of COBOL would also be helpful. Required Technical Skills: SAS/JCL are required. Security Clearance Level: Possess or able to attain confidential (MBI) clearance. Required Skills and Abilities: Must have excellent verbal and writing skills to communicate with client Finance staff and/or client technical staff, e.g. job schedulers. Preferred Skills: Knowledge of Federal financial processes, CONTROL products, CA ENDEVOR, ServiceNow ticketing a plus. Location: Remote US Citizenship or green card holder requiredGDIT IS YOUR PLACE: Full-flex work week to own your priorities at work and at home 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidaysThe likely hourly rate for this position is between $58.50 - $0.00. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:20Travel Required:NoneTelecommuting Options:RemoteWork Location:USA WA SeattleAdditional Work Locations:Total Rewards at GDIT:Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast Have you wondered where it came from and how much it cost Amazon to deliver it to you If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner. We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon. Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes. This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.Responsibilities may include: - Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations - Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans - Managing multiple projects simultaneously - Working with technology teams and product managers to develop new tools and systems to support the growth of the business - Communicating with and supporting various internal stakeholders and external audiencesBASIC QUALIFICATIONS- 10+ years of building machine learning models or developing algorithms for business application experience- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- 15+ years of relevant, broad research experience after PhD degree or equivalent.- Deep expertise in Machine Learning- Proficiency in programming for algorithm and code reviews.- Strong core competency in mathematics and statistics.- Track record of successful projects in algorithm design and product development.- Publications at top-tier peer-reviewed conferences or journals.- Strong prior experience with mentorship and/or management of senior scientists and engineers.- Thinks strategically, but stays on top of tactical execution.- Exhibits excellent business judgment; balances business, product, and technology very well.- Effective verbal and written communication skills with non-technical and technical audiences.- Experience working with real-world data sets and building scalable models from big data.- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

CONQUERING CYBERSPACEWith the constant evolution of today’s technology, information and communications can be optimized like never before. Responsible for a wide range of weaponry, training and intelligence efficiencies, Cyberspace Operations Officers are the foremost experts on the vast world of cyberspace. From computerized, satellite and airborne communications to postal operations and tracking systems, these irreplaceable assets play a critical role in planning missions and ensuring the effectiveness of our cyberspace capabilities.REQUIREMENTSYou must meet several requirements before joining the Air Force. These concern your background, overall health and other standards set by the Air Force, Department of Defense and federal law.Minimum EducationBachelor’s degree with a focus in computer and information sciences, engineering, mathematics, computer science, management information systems or other related disciplines QualificationsKnowledge of electronics theory, information technology, telecommunications and supervisory and control systems including cryptography, vulnerability assessment and exploitation techniquesCompletion of Undergraduate Cyberspace training and mission qualification training in specialty areaCompletion of a current Single Scoped Background Investigation (SSBI)Completionof Officer Training School (OTS), AirForce Academy (AFA) or AirForce Reserve Officer Training Corps (AFROTC)Must be between the ages of 18 and 42

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As a senior scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience- 5+ years of building machine learning models or developing algorithms for business application experience- Proficiency in model development, model validation and model implementation with Big-Data.- Proficiency working with Python and other high-level languages like Java/C++/Scala/R with at least 5 years of coding experience- Strong fundamentals in problem solving, algorithm design and complexity analysis.- Proven track in leading, mentoring, and growing teams of scientists.- Excellent written and verbal communication skills with technical and business teams; ability to speak at a level appropriate for the audience. The ideal candidate can present business cases and document the models and analysis and present the results in order to influence important decisions.PREFERRED QUALIFICATIONS- Have experience of building mathematical models to represent a wide range of supply chain, transportation or logistics systems.- Extensive knowledge and practical experience in several of the following areas: causal analysis, geospatial optimization, and statistics.- Work well in a fast-moving team environment and effectively deliver technical implementations having complex dependencies and requirements.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we leverage frontier science to collaborate with partner teams. We scale by solving problems, first in the small to prove concepts, and then in the large by building scalable solutions. In 2025, we are focused on developing emerging machine learning solutions (e.g., LLMs and causal ML) to understand substitutable products on Amazon. We are looking for an Applied Scientist to build and deliver solutions to improve our Stores business. In this role, you will work in a team of scientists, economists, and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams. Your responsibilities include developing and maintaining the scientific models, benchmarks, and services. Graduate education or hands-on experience in machine learning, optimization, causal inference, Bayesian statistics, deep learning, or other quantitative scientific fields is a big plus. To be successful in this role, you should be a quick learner and comfortable with a high degree of ambiguity.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you passionate about leveraging your applied science skills to deliver actionable insights that impact daily business decisions Do you thrive using causal inference, experimentation, and Machine Learning/AI to answer challenging product and customer behavior questions Do you want to be a technical leader and build flexible and global solutions for complex financial, risk, and causal problems If so, here is a great opportunity to consider!Amazon B2B Payments & Lending is seeking a Senior Applied Scientist who will combine their technical expertise with business intuition to generate critical insights that will set the strategic direction of the business. You will be a thought leader on the team, help set the team's strategic focus and roadmaps, and design and build systems/solutions that support financial products, working closely with business/product partners and engineers. You will utilize causal inference/experimentation/ML/AI methodologies, data and coding skills, problem solving and analytical skills, and excellent communication to deliver customer value.As a Senior Applied Scientist on our team, you'll play a pivotal role in uncovering actionable insights that shape the strategic direction of our products and services. You'll work closely with business stakeholders, data scientists, and engineers to tackle complex problems at the intersection of finance, risk modeling, and customer behavior.A day in the life- Collaborate with product, data, and engineering teams to identify key business and customer questions that can be answered through advanced analytics and machine learning- Design and build flexible, scalable solutions that leverage causal inference, experimentation, and applied ML/AI to provide critical insights that drive strategic decisions- Present analyses and recommendations to stakeholders, while also mentoring more junior data scientists and innovating on the team's capabilitiesAbout the teamThe Amazon B2B Payments & Lending team is a fast-paced, highly collaborative group focused on enabling seamless financial experiences for our business customers. We're building innovative solutions that leverage the power of data, AI, and automation to deliver frictionless payment processing, credit decisioning, and financial management tools.Our team culture is one of curiosity, creativity, and a relentless drive to delight our customers. We value bold thinking, data-driven decision making, and a willingness to experiment and learn. If you're passionate about using your technical expertise to drive meaningful business impact, this is an exciting opportunity to make a difference.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related languagePREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you love to read Are you equally passionate about solving complex technical problems and great customer experiences Kindle is looking for a Principal Product Manager to drive the strategy and vision for the content software and experiences that powers the reading experience in Kindle devices and applications. We deliver Kindle content to customers reading content on any Kindle device or the Kindle app, with the layout, typography, images, and interactivity that make reading enjoyable. This product manager will be responsible for building innovative content experiences to make Kindle the favorite place to consume the written word.Key job responsibilitiesThe successful candidate will have played a leading role in consumer app or client operating system, combining passion for amazing customer experiences with the ability to work closely with design and engineering to find creative solutions to complex problems. They must be highly analytical and adept at synthesizing a variety of technologies and capabilities into features that deliver a great reading experience. Kindle is an iconic product and a thriving business adored by customers around the world – but it’s still “day one” in inspiring the world to read more and get more out of reading every day.Responsibilities:• Define 3-year vision and strategy to advance reading.• Develop PRFAQ articulating the vision and working backwards from customers, and frame hot debates and tradeoff for discussion with senior leadership.• Work with teams across Amazon, across Books and cross-functionally with design, research and engineering to deliver the vision• Drive product launches including working with public relations team, executives, and other product management team membersAbout the teamThe Kindle Customer Experience Product Management team owns the customer facing software experiences across all Kindle devices and apps - ranging from how you read, navigate, acquire content and more. Our mission is to be the world's favorite place to read, write and get more out of reading.BASIC QUALIFICATIONS- 8+ years of product or program management, product marketing, business development or technology experience- Bachelor's degree- Experience with feature delivery and tradeoffs of a product- Experience owning/driving roadmap strategy and definition- Experience with end to end product delivery- Experience contributing to engineering discussions around technology decisions and strategy related to a product- Experience technical product managementPREFERRED QUALIFICATIONS- MBA · BS in Computer Science, Engineering or related technical field from a top university- Experience delivering consumer software products and services in a high growth environment- Experience in technical product management, program management or engineering- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams- Prior experience working in a software engineering discipline- Passion for readingAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon’s Selling Partner Infrastructure and Financial services organization is looking for a passionate, innovative, results-oriented Strategy and Planning Product Manager to own programs, processes and mechanisms that enable the organization to scale and invent on behalf of its customers.The candidate will shine in ambiguous situations, navigating between the details and big picture, and playing a primary role of owner complex and strategic initiatives, taking an active role in our organization’s most visible documents and artifacts (e.g., quarterly business reviews, annual operating plans, 3-year vision plans). The candidate will partner with the leadership team to develop and drive operational processes.The ideal candidate influences successfully at all levels, thinks strategically, is a talented writer and a strong organizer, takes initiative, and operates effectively across many teams. The candidate sees around corners, is biased for action in ensuring the team is set up for success in achieving our goals, and earns trust with stakeholders.Key job responsibilities• Lead strategic business program across the organization. • Act as a business partner to the SPIF leadership team, providing insights to help shape the strategy of the business.• Assist VP in developing and delivering key communication to the broader organization.• Drive best practices for product development across the organization. • Contribute to DEI initiatives and actions.BASIC QUALIFICATIONS- Bachelor's degree- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience technical product managementPREFERRED QUALIFICATIONS- Experience working directly with Engineers on product enhancements- Experience in project management methodologies, business analysis, or process improvementAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $161,900/year in our lowest geographic market up to $279,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Overview: Physical Therapist - Sign-on Bonus: up to $15,000 sign-on bonusRedmond, WashingtonJob Type: Full-timePay: $82,000-$100,000 annuallySign-on Bonus: up to $15,000 sign-on bonusCompensation will be based on experience.RETis a part of theConfluent Healthfamily. We emphasize a strong evidence-based clinical model, a focus on clinical excellence and customer service and providing compassionate care. All designed to get patients better, stronger, faster. We take pride in being experts in our field.RET Physical Therapyis looking for a Physical Therapist for our outpatient clinics. This position will work in a variety of orthopedic conditions including pre- and post-surgical, sports-related injuries, chronic pain, and lower-level neurologic problems, and family-like team of therapy professionals. RET has been caring for our community since 1973.We are the preferred place to work and a place where you can flourish. We achieve this through robust professional development programs, competitive benefits packages, a Student Loan Reimbursement program, and a long-term incentive plan, as well as a path to leadership positions. We have more therapist-owners than any other PT company, giving you unmatched professional growth potential. What better place to start or continue your career than with us!Why be a Physical Therapist at RET We focus on building a culture of teamwork, learning and development. We encourage all our Physical Therapists to strive for advanced board certification in Orthopedics or Sports Physical Therapy and provide continuing education and mentoring to help you get there. We have a fun, family-like environment, support, unlimited career growth opportunities and unmatched benefits.As a full-timePhysical Therapist, you will enjoy these benefits:Employee-centric work culture from the top, down!Student Loan Repayment Program - We pay your lender monthly!Paid board certification training & residencies in industry-coveted specialties throughEvidence in Motion (EIM)Industry leading 401(k) MatchingGenerous Paid Time OffMedical, dental, vision, Group life, LTD, STD insurances Qualifications: Qualifications:To be considered for this role you must have the following qualifications:Passion for Serving OthersCurrent WA state license as a Physical Therapist or ability to obtain licenseRecent graduates and experienced Physical Therapists are encouraged to applyStudents are encouraged to apply ahead of graduationFinancial assistance for catastrophic life eventsWellness program#CH500