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business development lead, cloud & ai Jobs in Seattle

business development lead, cloud & ai

business development lead cloud ai

HARVEY

<div><div><p>Location</p><div>
Seattle</div></div><div><p>
Employment Type</p><div>
Full time</div></div><div><p>
Location Type</p><div>
Remote</div></div><div><p>
Department</p><div>
Business Development</div></div><div><p>
Compensation</p><ul><div><p>
70/30 OTE $240K &ndash; $360K &bull; Offers Equity</p></div></ul><div><div><i>
Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</i></div></div></div></div>
<br><div><div><b>Why Harvey</b></div><p>
At Harvey, we&rsquo;re transforming how legal and professional services operate &mdash; not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.</p><p>
This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 60+ countries, strong product-market fit, and world-class investor support, we&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.</p><p>
Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle &mdash; from early thinking to long-term outcomes. We stay close to our customers &mdash; from leadership to engineers &mdash; and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.</p><p>
At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.</p><p></p><p><b>
Role Overview</b></p><p>
Harvey's competitive moat deepens every time we tighten our integration with the platforms at the cutting edge of AI. The cloud hyperscalers and frontier AI labs are unique players in our space &mdash; they are simultaneously distribution partners, co-development collaborators, co-investment vehicles, and co-marketing amplifiers. We need a leader who understands how to work these relationships across every dimension and turn them into durable, compounding advantages for Harvey.</p><p>
As Business Development Lead, Cloud &amp; AI, you will own Harvey's relationships with the major cloud providers (AWS, Microsoft/Azure) and AI labs &mdash; driving joint go-to-market, co-product development, co-investment, and co-marketing initiatives. You will manage a team of dedicated partner managers and work cross-functionally with Product, Engineering, Marketing, and Sales to ensure these alliances deliver outsized commercial and strategic value.</p><p></p><p><b>
What You'll Do</b></p><p></p><p><b>
Alliance Strategy &amp; Relationship Management</b></p><ul><li><div>
Define and execute Harvey's cloud and AI alliance strategy, ensuring alignment with company-wide product and growth priorities</div></li><li><div><br>
Own the executive-level relationships with key cloud providers (AWS, Microsoft) and AI labs; serve as the primary point of contact for joint planning and escalation</div></li><li><div><br>
Develop and maintain joint business plans with each strategic partner, with clear objectives around pipeline, revenue, product integration, and brand amplification</div></li><li><div><br>
Track competitive dynamics across the cloud/AI ecosystem and advise leadership on partnership opportunities and threats</div></li></ul><p><b><br>
Co-Product Development &amp; Integration</b></p><ul><li><div>
Partner with Harvey's Product and Engineering teams to drive technical integrations, joint solution development, and marketplace listings with cloud and AI partners</div></li><li><div><br>
Identify and advance co-investment opportunities &mdash; credits programs, joint development funds, and strategic investment vehicles that strengthen Harvey's position</div></li><li><div><br>
Ensure Harvey maximizes its standing in partner programs (e.g., AWS ISV Accelerate, Microsoft ISV Success) to unlock technical resources, funding, and GTM support</div></li></ul><p><b><br>
Co-Marketing &amp; Co-Selling</b></p><ul><li><div>
Build and execute joint marketing programs with cloud and AI partners &mdash; case studies, webinars, events, analyst engagements, and co-branded content</div></li><li><div><br>
Drive co-selling motions with cloud partner sales teams, creating alignment between their field sellers and Harvey's direct sales organization</div></li><li><div><br>
Develop incentive structures and deal registration workflows that make it easy for partner field teams to bring Harvey into their accounts</div></li></ul><p><b><br>
Team Leadership &amp; Scaling</b></p><ul><li><div>
Recruit, develop, and retain a team of dedicated partner managers (Microsoft, AI Labs, AWS); set clear goals and create a culture of ownership and strategic thinking</div></li><li><div><br>
Build repeatable frameworks for managing complex, multi-dimensional technology alliances</div></li><li><div><br>
Represent cloud and AI partners internally &mdash; ensuring their roadmaps, programs, and incentives are factored into Harvey's product and GTM planning</div></li><li><div><br>
Provide regular reporting to leadership on alliance health, co-sell pipeline, and strategic program milestones</div></li></ul><p><b><br>
What You Have</b></p><ul><li><div>
7&ndash;10+ years of experience in technology alliances, cloud partnerships, or strategic business development within enterprise SaaS, AI/ML, or platform ecosystems</div></li><li><div><br>
Proven track record of managing multi-dimensional partnerships with cloud hyperscalers (AWS, Azure/Microsoft, GCP) or AI labs &mdash; across co-sell, co-build, and co-market motions</div></li><li><div><br>
Strong technical fluency: you can engage credibly with product and engineering teams on integration architecture, API strategy, and platform capabilities</div></li><li><div><br>
Experience managing and developing teams of 3&ndash;5+ across alliance management and partner development functions</div></li><li><div><br>
Strong executive presence with the ability to build trusted relationships with VP+ stakeholders at major technology companies</div></li><li><div><br>
Analytical rigor &mdash; you are comfortable defining KPIs, building business cases for partnership investments, and using data to drive decisions</div></li><li><div><br>
Startup sensibility: you thrive in ambiguity, move fast, and are comfortable building alliance programs from scratch in a high-growth environment</div></li></ul><p><b><br>
Compensation</b></p><p>
$240,000-$360,000 70/30 OTE
</p><p></p><p><b>Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [</b><b>here</b><b>].</b></p><p></p><p><i>
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</i></p><p>
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</p></div>

Business Development Lead, Cloud & AI

DigitalOcean

<div><div><p>Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together&mdash;while learning, having fun, and making a profound difference for the dreamers and builders in the world.</p></div><h2 class="jobSectionHeader"><b>
We are looking for a </b><b>Manager, Customer Success Engineering (AI &amp; Cloud Support)</b><b> who is passionate about delivering exceptional support experiences and building high-performing teams.</b></h2>
<p>
As a <b>Manager, CSE (AI &amp; Cloud Support)</b> at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.</p>
<p>
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.</p>
<p>
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering &quot;white-glove&quot; experiences for strategic customers.</p><h2 class="jobSectionHeader"><br>
<b>
What You'll Do:</b></h2>
<p><b>
Team Leadership &amp; Development</b></p>
<ul>
<li>Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth</li>
<li>Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.</li>
<li>Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.</li>
<li>Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.</li>
<li>Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.</li><br>
</ul>
<p><b>Strategic Customer Support</b></p><br>
<ul>
<li>Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.</li>
<li>Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.</li>
<li>Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.</li>
<li>Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.</li>
</ul>
<p><b>Technical &amp; Cross-Functional Operations</b></p>
<ul>
<li>Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.</li>
<li>Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product &mdash; including Jira escalation routing, Sev1 bridge management, and post-incident documentation.</li>
<li> Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content &mdash; treating documentation infrastructure as a core operational lever for team scalability.</li>
<li>Contribute to the vision for AI and automation within support&mdash;building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.</li>
<li>Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.</li>
</ul><h3 class="jobSectionHeader"><b>Key Metrics:</b></h3>
<ul><li>Customer Satisfaction (CSAT) for strategic accounts</li>
<li>Time to Response and Resolution (TTR) for strategic customers</li>
<li>Tier 1 resolution rate vs. escalation rate</li>
<li>Time-to-escalation and engineering handoff SLA adherence</li>
<li>SLA adherence and escalation response times</li>
<li>Support productivity and quality (QA scores)</li>
<li>Post-incident documentation completion rate</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Add to DigitalOcean:</b></h2>
<ul><li><b>Experience: </b>5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.</li>
<li><b>Leadership: </b>2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.</li>
<li><b>Technical Domain Expertise:</b> Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.</li>
<li><b>Coding/Integration:</b> Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.</li>
<li><b>Communication:</b> Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.</li>
<li><b>Problem-Solving:</b> Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).</li>
<li>Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.</li>
<li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.</li>
<li>ITIL or equivalent service management certification</li>
</ul><h2 class="jobSectionHeader"><b>Compensation Range:</b></h2>
<ul><li>$125,000 - $153,000</li>
</ul>
<ul><li>This is a remote role</li></ul>
<p>
JR: 2026-7692</p>
<p><i>
#LI-Remote</i></p><div><h2 class="jobSectionHeader"><b>
Why You'll Like Working for DigitalOcean</b></h2>
<ul><li><b>We innovate with purpose. </b>You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.</li>
<li><b>We prioritize career development.</b> At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.</li>
<li><b>We care about your well-being. </b>Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.</li>
<li><b>We reward our employees. </b>The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.</li>
<li><b>DigitalOcean is an equal-opportunity employer. </b>We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.</li>
</ul>
<p><b>Application Limit:</b> You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.</p></div></div>

Manager, Customer Success Engineering

Deloitte

<div>At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.<br>
<br>
<b>Work you'll do</b><br>
<br>
As a Lead Microsoft AI&amp;Data FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. You'll set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team. You'll translate engineering trade-offs into clear decisions for client leaders when needed. Your ability to influence decisions at the C-suite level, while maintaining hands-on technical credibility, is what sets you apart. Pods under your leadership may be deployed onshore with clients or in hybrid onshore/offshore configurations, leveraging Deloitte's global delivery capability to maximize speed and scale.<br>
<br>
<b>Client Engagement</b><br>
<ul><li>
Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders</li><li>
Lead executive-level discovery, define success metrics (quality, latency, cost, adoption, risk) and a phased plan from prototype to production and scaling</li><li>
Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision</li><li>
Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements-contributing to pipeline development and deal shaping.</li></ul><br>
<b>
Cross-Functional Pod Leadership &amp; Program Governance</b><br>
<ul><li>
Lead FDE pods of 2-5 onshore anchored and offshore supported engineers, owning execution, resource management, escalations and overall delivery health</li><li>
Enforce delivery standards across the pod: sprint cadences, stakeholder communication plans, risk management, and quality gates</li><li>
Coordinate multi-pod or multi-workstream engagements, ensuring reliable architecture and consistent client experience.</li><li>
Mentor and develop junior FDEs</li></ul><br>
<b>
GenAI Solution Development</b><br>
<ul><li>
Architect and oversee delivery of LLM-enabled applications including copilots, agentic workflows, assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below)
</li><li>Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls</li><li>
Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid search-ensuring production-grade quality and scalability.</li><li>
Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.</li></ul><br>
<b>
Engineering &amp; Data Foundations</b><br>
<ul><li>
Review and contribute to production-quality code</li><li>
Guide architecture of data pipelines powering GenAI use cases</li><li>
Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices</li><li>
Deep familiarity with cloud environments (AWS, Azure, and/or Google Cloud)</li></ul><br>
<b>
The team</b><br>
<br>
AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements.<br>
<br>
<b>Required qualifications</b>
<br>
<ul><li>Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering.</li><li>
7+ years of experience in software engineering, data engineering, data science, or analytics engineering.
</li></ul><ul><li>1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments</li><li>
1+ years of experience with Microsoft AI&amp;Data including hands on experience with Azure AI Foundry</li><li>
1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions</li><li>
1+ years of experience building reliable, maintainable, and well-documented code
</li></ul><ul><li>Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve</li><li>
Limited immigration sponsorship may be available</li></ul><br>
<b>
Preferred qualifications</b><br>
<ul><li>
Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)</li><li>
Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
</li></ul><ul><li>Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation</li><li>
Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management
</li><li>Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
</li><li>Experience operating within hybrid onshore/offshore teams
</li><li>Familiarity with security, privacy, and compliance considerations</li></ul><br>
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $167000 to $307500.<br>
<br>
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Lead Forward Deployed Engineer, Microsoft AI & Data

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join our team to design and build innovative SAP solutions that transform how our organization operates. You'll work across modern cloud platforms and core SAP systems, creating custom applications and intelligent solutions that solve real business challenges while maintaining clean architecture principles.<br>
<br>
We are seeking an experienced SAP developer with a strong background in SAP Business Technology Platform (BTP), SAP Fiori, SAPUI5, RAP, CAP, AI-related BTP services, and ABAP to join our SAP implementation project team.
<br>
<br>
The successful candidate will be responsible for developing custom solutions, enhancements, extensions, and user interfaces using ABAP programming, SAP Fiori, and SAP Business Technology Platform services to meet the specific business requirements of our organization. This role requires strong hands-on capability in both modern SAP cloud development and core SAP backend development, with greater emphasis on BTP-based application development, side-by-side extensibility, clean core principles, and intelligent application scenarios.<br>
<br>
Key job responsibilities<br>
<ul><li>Analyze business requirements, specifications, and designs to build SAP BTP and ABAP solutions.</li><li>Develop ABAP programs, reports, interfaces, enhancements, APIs, and backend services.</li><li>Create and maintain modern user interfaces using SAP Fiori and SAPUI5.</li><li>Collaborate with functional consultants and business analysts on technical solution design.</li><li>Develop, enhance, and support custom Fiori applications and responsive SAPUI5 interfaces.</li><li>Integrate ABAP, Fiori, BTP services, SAP modules, and external systems as needed.</li><li>Utilize SAP BTP services including BAS, HANA Cloud, RAP, CAP, Integration Suite, Workflow, Event Mesh, AI Core, AI Launchpad, and Generative AI Hub to build clean-core, intelligent solutions.</li><li>Perform unit testing, integration testing, troubleshooting, and debugging.</li><li>Provide technical guidance on ABAP, BTP, Fiori/UI5, RAP, CAP, and AI-enabled development.</li><li>Document custom code, interfaces, APIs, and technical solutions for support and maintenance.</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of design, implementation, or consulting in applications and infrastructures experience</li><li>4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data &amp; analytics) experience</li><li>Bachelor's degree in supply chain, business, engineering, finance or related technical or quantitative field, or 3+ years of industry work experience</li><li>4+ years of SAP development experience across ABAP and SAP BTP.</li><li>Proficient in SAP Fiori and SAPUI5 development for responsive user interfaces.</li><li>Knowledge of object-oriented programming, design patterns, and clean core principles.</li><li>Understanding of SAP architecture, data structures, BTP services, and integration techniques.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience migrating or transforming legacy customer solutions to the cloud</li><li>Experience working with AWS technologies from a dev/ops perspective</li><li>Knowledge of agile development and best coding practices including peer code reviews, and unit testing</li><li>Experience implementing and managing SAP ERP solutions, with a strong focus on SAP S/4HANA</li><li>Experience in performance tuning and optimization of ABAP programs, SAP applications, and BTP-based solutions.</li><li>Exposure to AI-enabled SAP scenarios, including SAP AI Core, AI Launchpad, Generative AI Hub, agent-based development concepts, intelligent automation, or enterprise AI use cases on BTP.</li><li>Familiarity with RAP and CAP for SAP application and extension development.</li><li>Familiarity with ABAP Workbench, Business Application Studio, SAP Web IDE, and SAP GUI.</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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually<br>
USA, WA, Seattle - 131,300.00 - 177,600.00 USD annually</div><p></p>

SAP ABAP and BTP Developer, AWS SAP Team

lululemon

Who we are
<br><br>
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
<br><br>
About this team
<br><br>
The Data & AI Security team is responsible for protecting the organization’s most critical data and AI assets while enabling responsible, scalable innovation. We build and operate Data Security Posture Management (DSPM) and AI Security Posture Management (AISPM) capabilities across a complex, global ecosystem. Our work is highly cross-functional, partnering with Data & Analytics, Engineering, Legal, Privacy, and GRC teams to embed security by design while keeping the organization fast, compliant, and resilient. Our focus is on visibility, prevention, and remediation at scale, balancing strong security controls with minimum business friction.
<br><br>
The Senior Cybersecurity Engineer is responsible for securing the organization’s AI ecosystem by discovering, assessing, and mitigating risks associated with AI models, data usage, model lifecycle, and AI-driven workflows. This role partners closely with Data Governance, Platform Engineering, and Security Architecture to enable safe and scalable AI adoption while ensuring regulatory, privacy, and corporate policy alignment.
<br><br>
Core responsibilities
<br><br>
As a Senior Cybersecurity Engineer, you will lead complex security engineering initiatives, designing and implementing security controls, platforms, and solutions that protect critical systems at scale. You will build and operate enterprise security capabilities such as centralized authentication, security enforcement mechanisms, and security automation, while applying secure coding practices and rigorous testing and validation. You will partner closely with engineering teams to embed security into system design and delivery, drive improvements to security quality and reliability, and mentor junior engineers through hands-on technical leadership and knowledge sharing.
<br><br>
<b>Select responsibilities include:</b><br>
*
<br><ul>
<li>Build enterprise security systems implementing centralized authentication, security platforms, and organization-wide controls</li>
<li>Lead comprehensive threat modeling and security assessments for complex systems, evaluating attacker behaviour across integrations and influencing secure design decisions early in the development lifecycle</li>
<li>Own end-to-end response for complex security incidents, driving deep root cause analysis and delivering coordinated long-term improvements to detection, prevention, and security monitoring capabilities</li>
<li>Develop advanced security code, tools, and libraries including security automation platforms, scanners and detectors, security testing systems, and security SDKs</li>
<li>Establish security code standards defining secure coding practices, code review requirements, and implementation quality</li>
</ul>
Qualifications
<br><ul>
<li>Bachelor’s degree in Computer Science, Cybersecurity, or related field; security certification strongly preferred</li>
<li>6-10 years of experience leading security engineering initiatives, establishing security standards and practices, and building security systems at scale, or equivalent</li>
<li>Hands-on experience securing data used by AI systems, including data discovery, classification, access governance, and usage monitoring across cloud data platforms, feature stores, and AI pipelines</li>
<li>Experience securing AI and analytics workloads in modern cloud environments, including identity and access controls, service-to-service authentication, secrets management, and policy enforcement across platforms supporting AI/ML development and inference (e.g., cloud data platforms, ML platforms, containerized services)</li>
<li>Proven experience implementing enterprise security controls and building security infrastructure including centralized authentication, authorization services, and security policy enforcement systems at scale</li>
<li>Track record of writing complex security systems including security platforms and SDKs; experience establishing security code review practices, security checklists, and security development frameworks</li>
<li>Demonstrated ability to lead advanced threat modeling for complex systems, anticipating sophisticated adversarial behaviour; experience owning investigation and resolution of complex security incidents with deep root cause analysis</li>
<li>Familiarity with DSPM, DLP, or data governance tooling applied to AI use cases is strongly preferred</li>
</ul>
Must haves
<br><ul>
<li>Acknowledge the presence of choice in every moment and take personal responsibility for your life.</li>
<li>Possess an entrepreneurial spirit and continuously innovate to achieve great results.</li>
<li>Communicate with honesty and kindness and create the space for others to do the same.</li>
<li>Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.</li>
<li>Foster connection by putting people first and building trusting relationships.</li>
<li>Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.</li>
</ul>
<b>Please Note:</b><br>
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time for this role.
<br><br>
Compensation and benefits package
<br><br>
lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $147,300 - $193,300 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
<br><br>
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
<br><ul>
<li>Extended health and dental benefits, and mental health plans</li>
<li>Paid time off</li>
<li>Savings and retirement plan matching</li>
<li>Generous employee discount</li>
<li>Fitness & yoga classes</li>
<li>Parenthood top-up</li>
<li>Extensive catalog of development course offerings</li>
<li>People networks, mentorship programs, and leadership series (to name a few)</li>
</ul>
<b>Note:</b> The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
<br><br>
Workplace arrangement
<br><br>
This role is classified as In-Person under our SSC Workplace Policy:
<br><br>
In-person collaboration and/or office-based work is necessary or important for the role. Work is mainly performed onsite, 4-5 days per week depending on role requirements.
<br><br>
#LI-CM1

Senior Cybersecurity Engineer - Data & AI Security

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
<br>
<br>
The AWS Data Center Engineering - BIM &amp; AI Technologies team is pioneering the next generation of AI-powered design automation for AWS's global data center infrastructure. We're seeking an experienced Software Development Engineer with Building Information Modeling (BIM) domain expertise to architect and deliver innovative solutions that transform how data center design documentation is created, updated, and reviewed at scale.
<br>
<br>
As an SDE II on this team, you'll lead the design and implementation of novel generative AI applications that serve architects, engineers, construction managers, and facility operators. Working alongside software engineers, applied scientists, UX designers, product managers, and industry domain experts, you'll architect scalable production-ready systems that integrate BIM platforms, desktop applications, cloud services, and AI technologies to accelerate facility design workflows. This is an opportunity to leverage your Architecture, Engineering, Construction, and Ownership (AECO) industry expertise alongside your advanced software engineering skills to productionize ML models, mentor junior engineers, and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.
<br>
<br>
Key job responsibilities<br>
<ul><li>Design and architect scalable solutions for complex problems in the BIM and design automation space, balancing technical excellence with business impact
</li></ul><br>
<ul><li>Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards
</li></ul><br>
<ul><li>Write clean, maintainable, and well-documented code following software engineering best practices and establish coding standards for the team
</li></ul><br>
<ul><li>Collaborate with applied scientists to productionize ML models for BIM and AECO applications, ensuring robust deployment and monitoring
</li></ul><br>
<ul><li>Work closely with product, design, science, and AECO subject matter experts to deliver novel BIM and AI solutions
</li></ul><br>
<ul><li>Design and implement integrations between BIM platforms (e.g., Autodesk Platform Services, Revit, etc.) and AWS services with focus on reliability and scalability
</li></ul><br>
<ul><li>Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation, ensuring AI systems augment rather than replace professional judgment
</li></ul><br>
<ul><li>Drive technical discussions and build consensus on architectural decisions within your team and across partner teams
</li></ul><br>
<ul><li>Mentor junior engineers through code reviews, design discussions, and knowledge sharing
</li></ul><br>
<ul><li>Advocate for critical customers and stakeholders during team prioritization and planning, influencing roadmap decisions
</li></ul><br>
About the team<br>
<br>
Why AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Diverse Experiences<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</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><li>3+ years of experience developing Building Information Modeling (BIM) software solutions for the AECO industry</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 with AI/ML technologies and their practical applications in AECO industry problems (e.g., building design engineering automation, compliance checking, or construction documentation workflows)</li><li>Experience with BIM software platforms and APIs such as Autodesk Revit, Autodesk Forma, Autodesk Platform Services, or similar AECO industry tools</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.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer II, Data Center Design Engineering - BIM & AI Technologies

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Lead Data Engineer
</b></p><p><b>Office hybrid in Seattle or Chicago
</b></p><p></p><p>As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem.<br>
</p><p></p><h2 class="jobSectionHeader"><br>
<b>What You&rsquo;ll Do
</b></h2><ul><li><h3 class="jobSectionHeader"><b>Architect Multi-Stage Medallion Pipelines: </b><b>Design and oversee the implementation of a robust Medallion Architecture (Bronze, Silver, and Gold layers), ensuring seamless transitions from raw ingestion to highly refined, business-logic-heavy data assets.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Lead Semantic Layer Strategy: </b><b>Own the development and governance of the </b><b>Semantic Layer </b><b>, defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Advanced Dimensional Modeling: </b><b>Lead the transition from flat tables to sophisticated Star and Snowflake schemas. Design high-performance data models that support complex relationship mapping, historical versioning (SCD Type 2), and high-concurrency querying.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Engineering Identity &amp; Entity Resolution: </b><b>Build and maintain scalable pipelines for identity resolution, stitching together disparate data points across the Salesforce ecosystem to create unified, governed customer and product graphs.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Infrastructure for Causal &amp; Attribution Modeling: </b><b>Partner with Decision Scientists to engineer the specialized data structures and features required for advanced attribution and causal inference, ensuring these models are backed by high-integrity, production-ready data.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Data Contracts &amp; Quality Governance: </b><b>Establish and enforce strict Data Contracts between upstream producers and downstream consumers. Implement automated validation frameworks to monitor data freshness, schema drift, and semantic accuracy.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Operational Excellence &amp; CI/CD: </b><b>Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines, emphasizing automated testing, version control for SQL/Python transformations, and proactive performance tuning.
</b></h3></li><li><h3 class="jobSectionHeader"><b>Cross-Functional System Design: </b><b>Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures, prioritizing data lineage, transparency, and low-latency access to trusted metrics.<br>
</b><br>
</h3></li></ul><p><b>Qualifications:
</b></p><ul><li><p>8+ years of experience as a Data Engineer or in a similar role.
</p></li><li><p>A related technical degree required.
</p></li><li><p>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</p></li><li><p>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</p></li><li><p>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</p></li><li><p>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</p></li><li><p>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</p></li><li><p>Problem-solving skills to troubleshoot and resolve data-related issues.
</p></li><li><p>Excellent communication skills and ability to collaborate in a cross-functional environment.
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Lead Data Engineer

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