civil engineer/project engineer Jobs in Seattle

civil engineer/project engineer

ai engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
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We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide.<br>
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#GenAI<br>
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Key job responsibilities<br>
Key job responsibilities<br>
<ul><li>Design and develop net new conversational ad experiences on the Search page</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising</li><li>Shape the future of how businesses connect with customers through advertising</li><li>Create scalable systems to deliver explicitly personalized ad experiences</li></ul>
What we're looking for:<br>
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications</li><li>Strong software engineering skills</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges</li><li>Track record of delivering innovative solutions that drive business impact</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience developing and deploying Agentic AI solutions</li><li>Experience developing and deploying Gen AI applications</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.</div>

Software Dev Engineer II, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
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<br>
Key job responsibilities<br>
<ul><li>Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure &amp; reusable architecture, delivering low latency and secure advertiser experiences</li><li>Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale.</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem
</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising
</li><li>Shape the future of how businesses connect with customers through AI-powered advertising</li><li>Create scalable systems that process millions of data points to deliver hyper-personalized ad experiences</li></ul><br>
What we're looking for:
<br>
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications
</li><li>Strong software engineering skills with experience in distributed systems and cloud technologies
</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
</li><li>Track record of delivering innovative solutions that drive business impact
</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul><br>
A day in the life<br>
As a Software Development Engineer on the Sponsored Products and Brands Guidance Integrations (SPB-GI) team, you will architect and build the next-generation AI platform that will power personalization and intelligent advertising experiences for millions of merchants and brands worldwide. You are:<br>
<ul><li>Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.</li><li>Team obsessed: You help the team achieve results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.</li><li>Humbitious: You&rsquo;re ambitious, yet humble. You recognize that there&rsquo;s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.</li><li>Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you&rsquo;re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers</li><li>Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges</li></ul><br>
About the team<br>
We're looking for a brilliant Software Development Engineer to spearhead our Sponsored Products and Brands Guidance Integrations (SPB-GI) team. The team owns the foundational infrastructure for SPB agentic experiences, providing a unified entry point for internal and external agentic applications. We design and maintain scalable APIs and orchestration layers that allow agents to reliably connect with first-party and partner systems. Our responsibilities include building durable agent-to-agent communication protocols for discovery, negotiation, and task handoff; lifecycle management for agent sessions; and state management frameworks that allow agents to persist context across multi-step workflows. The team delivers streaming and event-driven integration pipelines to support real-time customizations and integrations with 1P experiences. We also own the infrastructure governance layers including standardized access-control frameworks, data masking and retention policies, rate-limiting, audit logging, and safety guardrails that ensure predictable, compliant agent behavior across environments. To support scale, the team invests in observability platforms for debugging agent-to-agent and agent-to-service interactions, performance optimization of orchestration layers, and telemetry-driven insights. We also extend the platform to external developers and partners by exposing systems safely to empower partners to create new agentic experiences while inheriting all governance, security, and scaling guarantees of the platform. These agentic experiences include personalized insights, guidance, holistically accounting for an advertiser's product catalog, performance metrics, and other relevant signals. Examples of surfaces that will leverage the SPB Agent include but not limited to: 1) Personalization for an advertiser's experience throughout the Advertiser Console where the SPB Agent will utilize advertiser and page level context to determine how to tailor a full page experience to an advertiser, updating individual widgets with recommendations or filtering capabilities that are most applicable, 2) an AI companion in Next Gen Selling, Seller Central or Seller Assistant that provides a personalized, interactive and automated experience where Selling Partners receive data-backed guidance for growing their business, making autonomous decisions and executing actions on behalf of sellers and 3) AI for Sales pitches that are optimized through the SPB Agent insights.<br>
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Why join us?
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<ul><li>Be part of a team that's defining the future of AI in advertising
</li><li>Work on projects with massive scale and impact, reaching millions of businesses and consumers
</li><li>Collaborate with world-class AI researchers and engineers
</li><li>Access to AI technologies and resources<br>
</li></ul></div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
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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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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.</div>

Software Development Engineer, Sponsored Products and Brands

IUNU

<div>At IUNU (&ldquo;you knew&rsquo;), we&rsquo;re revolutionizing the agriculture industry through cutting-edge AI-driven solutions for greenhouse operations. Our mission is to empower growers with insights that drive operational efficiency, enhance crop yields, and reduce environmental impact. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.<br>
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Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we&rsquo;d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.<br>
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<b>Responsibilities</b><ul><li>
Study and transform data science prototypes</li><li>
Design machine learning systems</li><li>
Research and implement appropriate ML algorithms and tools</li><li>
Develop machine learning applications according to requirements</li><li>
Select appropriate datasets and data representation methods</li><li>
Run machine learning tests and experiments</li><li>
Perform statistical analysis and fine-tuning using test results</li><li>
Train and retrain systems when necessary</li><li>
Extend existing ML libraries and frameworks</li><li>
Keep abreast of developments in the field</li></ul><br>
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Requirements</b><ul><li>
3-5 years of proven experience as a Machine Learning Engineer or a similar role</li><li>
Strong experience with Deep Learning</li><li>
Understanding of data structures, data modeling, and software architecture</li><li>
Deep knowledge of math, probability, statistics, and algorithms</li><li>
Ability to write robust code in Python, Java, and R</li><li>
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)</li><li>
Excellent communication skills</li><li>
Ability to work in a team</li><li>
Outstanding analytical and problem-solving skills</li><li>
BSc in Computer Science, Mathematics, or a similar field; a Master&rsquo;s degree is a plus</li></ul><br>
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Diversity</b><br>
At IUNU, we&rsquo;re committed to providing a safe and inclusive environment. We are dedicated to the happiness and success of all of our employees, and strive to foster a workplace in which individual differences are recognized, appreciated, nurtured, and respected. Diversity is important, and we strongly encourage people of all identities and backgrounds to confidently apply for a job with us if this is a role that interests and excites you. We want you to feel comfortable bringing your whole self to work with you, with all of your talents and strengths.<p>
</p><p>eJVMiKCwhq</p></div>

Applied Machine Learning Engineer

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands (SPB) team at Amazon Ads is transforming advertising through generative AI technologies. We help millions of customers discover products and engage with brands across Amazon.com and beyond. Our team combines human creativity with artificial intelligence to reinvent the entire advertising lifecycle&mdash;from ad creation and optimization to performance analysis and customer insights.<br>
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We develop responsible AI technologies that balance advertiser needs, enhance shopping experiences, and strengthen the marketplace. Our team values innovation and tackles complex challenges that push the boundaries of what's possible with AI.<br>
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Join us in shaping the future of advertising.<br>
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Key job responsibilities<br>
This role will redesign how ads create personalized, relevant shopping experiences with customer value at the forefront. Key responsibilities include:<br>
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<ul><li>Design and develop solutions using GenAI, deep learning, multi-objective optimization and/or reinforcement learning to transform ad retrieval, auctions, whole-page relevance, and shopping experiences.</li><li>Partner with scientists, engineers, and product managers to build scalable, production-ready science solutions.</li><li>Apply industry advances in GenAI, Large Language Models (LLMs), and related fields to create innovative prototypes and concepts.</li><li>Improve the team's scientific and technical capabilities by implementing algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.</li><li>Mentor junior scientists and engineers to build a high-performing, collaborative team.</li></ul><br>
A day in the life<br>
As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. This is a rare opportunity to redefine how ads are retrieved, allocated, and/or experienced&mdash;elevating them into personalized, contextually aware, and inspiring components of the customer journey. You will have the opportunity to fundamentally transform areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations through the lens of GenAI. By building novel generative models grounded in both Amazon&rsquo;s rich data and the world&rsquo;s collective knowledge, your work will shape how customers engage with ads, discover products, and make purchasing decisions. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science.<br>
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About the team<br>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Amazon Stores stakeholders to lead the expansion and growth of advertising across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Demonstrated expertise in Generative AI technologies, including foundation models, LLMs, and model customization for specific business applications</li><li>Hands-on experience building ads ranking, retrieval, recommendation, or personalization systems that operate at web scale</li><li>Technical proficiency in advanced AI approaches such as multi-modal modeling, few-shot learning, retrieval-augmented generation (RAG), or reinforcement learning from human feedback (RLHF)</li><li>Track record of designing and implementing online experimentation frameworks, including A/B testing methodologies and performance metrics for advertising or e-commerce</li><li>Proven ability to translate complex technical concepts into clear explanations for diverse audiences, from engineers to executives</li><li>Deep knowledge of computational advertising fundamentals, including auction mechanisms, advertising economics, and advertiser success metrics</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
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.</div>

Senior Applied Scientist, Sponsored Products and Brands, Off-Search

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
About Sponsored Products and Brands<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
About our team<br>
The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions.<br>
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Key job responsibilities<br>
<ul><li>Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences.</li><li>Collaborate with peers across engineering and product to bring scientific innovations into production.</li><li>Surface qualitative and quantitative insights to shape product direction and ensure product-market fit.</li><li>Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization.</li><li>Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning.</li><li>Prototype and iterate on multi-agent orchestration frameworks and workflows.</li><li>Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</li><li>Experience in search advertising, search marketing, performance advertising, or similar digital advertising</li><li>Ph.D. in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Strong technical fluency in Generative AI</li><li>Deep understanding of large language models (LLMs), model fine tuning and prompt engineering</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
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.</div>

Sr. Applied Scientist, Sponsored Products

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Quick Suite is a generative AI&ndash;powered business intelligence platform that helps organizations turn data into action, fast. It brings together analytics, visualization, and workflow automation with an intuitive natural language interface, so employees can ask questions, explore data, and build interactive dashboards simply by describing what they need. By securely connecting to diverse data sources and leveraging large language models (LLMs) and AI agents to summarize, generate, and automate work, Quick Suite makes it easier for teams across the business to make smarter decisions and move from insight to impact in a fraction of the time.<br>
<br>
On the Quick Actions team, we build and evolve the core action platform that underpins how Amazon Quick Suite gets real work done and serves as part of the backbone for our agentic AI experiences. Our services sit at the heart of the product, providing a consistent, secure way for LLMs and AI agents to configure and invoke actions across first-party, third-party, and customer-built systems. We power tool calling and action orchestration for Quick chat, dashboards, automations, and multi-agent workflows, enabling seamless integration with tools like Jira, Asana, Slack, Outlook, Teams, SharePoint, Salesforce, and custom HTTP or MCP services, so that when intelligent agents plan, reason, and execute work on behalf of users, everything &ldquo;just works.&rdquo; As a Software Development Engineer on the Quick Actions team, you will design, build, and optimize high-scale distributed services that ensure performance, scalability, and reliability for hundreds of actions. Your work will directly shape how businesses leverage generative AI, LLMs, and autonomous workflows to streamline operations and make data-driven decisions, while you partner closely with product and other engineering teams to expand our action and remote-agent ecosystem.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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.</div>

Senior SDE, Amazon Quick Suite, Amazon Quick Suite

ServiceNow

<div><b>Company Description</b><p><br>
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today &mdash; ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500&reg;. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.</p><b><br>
Job Description</b><p><b><br>
About the Role</b></p><p>
Join ServiceNow's Solution Consulting team and help bring CRM and Industry Workflows to life. You'll partner with sales, product, and customers to transform experiences through automation, AI, and digital innovation &mdash; all while having fun figuring out how to make complex systems feel simple for your customers.</p><p>
This is a pre-sales role in the West and Central US Commercial segment, supporting a high volume of dynamic accounts. You'll thrive here if you get energized by jumping between customers, telling compelling stories, and showing multiple organizations the real value of innovation.</p><p><b>
What You'll Do</b></p><ul><li><b>
Facilitate discovery and demo sessions</b> that uncover customer challenges and show how CRM, Customer Service, Field Service, and Industry solutions can make a difference.</li><li><b>
Configure and customize demos</b> &mdash; build engaging, hands-on experiences that showcase AI agents, automation, and workflows in ways that make customers say, &quot;Wow, that's possible?&quot;</li><li><b>
Partner with sales teams</b>, translating technical capabilities into compelling stories that resonate with both business and technical audiences.</li><li><b>
Stay current on product releases and AI features</b> so your demos are always fresh, exciting, and relevant to customer needs.</li><li><b>
Contribute to team success</b> by sharing learnings, supporting marketing events, and helping build a culture of innovation &mdash; whether virtually or in person.</li></ul><p><b>
Your Superpowers:</b></p><ul><li><b>
Technically curious and hands-on</b> &mdash; you enjoy learning new product features, building demo environments, experimenting with AI agents, and figuring out creative solutions to demo challenges.</li><li><b>
Natural storyteller and communicator</b> &mdash; you know how to make complex ideas click for different audiences, whether presenting in person or virtually.</li><li><b>
Eager to learn and grow</b> &mdash; you're excited to expand your knowledge across CRM, Industry Workflows, and AI capabilities.</li><li><b>
Collaborative and resourceful</b> &mdash; you work well with others, share ideas freely, and find creative paths forward when challenges arise.</li></ul><p></p><b><br>
Qualifications</b><br>
<ul><li>
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.</li><li>
2+ years in pre-sales solution consulting or sales engineering, ideally with Enterprise Applications, CRM, or Customer Experience solutions.</li><li>
Preferred locations: San Francisco, CA or Seattle, WA</li><li>
Bonus points for experience in Financial Services or Healthcare &mdash; familiarity with industry-specific workflows, challenges, and compliance requirements.</li><li>
Willingness to travel as needed to support customer engagements and team events.</li></ul><p></p><div><br>
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.</div><p></p><div><br>
For positions in this location, we offer a base pay of $122,400 to $189,800, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.</div><p></p><div><br>
Compensation is based on the geographic location in which the role is located and is subject to change based on work location.</div><p></p><b><br>
Additional Information</b><p><b><br>
Work Personas</b></p><p>
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.</p><p><b>
Equal Opportunity Employer</b></p><p>
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.</p><p><b>
Accommodations</b></p><p>
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.</p><p><b>
Export Control Regulations</b></p><p>
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.</p><p>
From Fortune. &copy;2024 Fortune Media IP Limited. All rights reserved. Used under license.</p></div>

Solution Consultant - CRM

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