Description At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW. Job Summary The Senior Marketing Tech Enablement Manager will serve as the technical architecture authority for marketing automation and CDW's marketing technology ecosystem. This role owns platform intake, triage, and the overall health of our martech ecosystem. They partner closely with IT and technology teams to ensure scalable system design, stable integrations, and a proactive roadmap for feature development. In addition, this role will be responsible for designing, implementing, and governing API-driven, cloud-native integrations across CDP, CRM, journey orchestration, analytics, and activation platforms. * What you'll do * Strategic Technical Architecture & System Design * Own and define the end-to-end architecture for the marketing automation and martech ecosystem, ensuring platforms, data flows, and integrations are reliable, scalable, and aligned with enterprise IT standards. * Translate marketing requirements into technical specifications and architectural solutions. * Own the intake queue for marketing platform requests, incidents, enhancements, and defects. * Triage and prioritize issues, determine root causes, and coordinate with IT and vendors to drive timely resolution. * Partner with IT and Data teams to maintain alignment on data models, APIs, middleware, and infrastructure. * Design and document RESTful APIs including authentication, rate limiting, troubleshooting, versioning, and error handling, and evaluate MarTech platforms for API maturity and integration complexity. Cloud & Data Architecture * Architect cloud-native integration solutions leveraging AWS, Azure, or equivalent platforms. * Design scalable ingestion pipelines supporting batch and real-time flows. * Establish monitoring, logging, and observability standards. * Ensure secure handling of PII and compliance with governance standards. * Evaluate technical debt and recommend re-architecture strategies. Operational Excellence & Governance * Maintain ongoing health, performance, and governance for platforms like Marketo, SFMC, Salesforce CRM, AEP/RTCDP, Monday.com, and analytics tools. * Ensure documentation, system configurations, integrations, and automations follow consistent governance and version control. * Monitor platform usage, security, and stability, escalating risks proactively. * Establish integration guardrails and governance standards. * Maintain system diagrams, sequence diagrams, and API documentation. * Oversee vendor technical deliverables for architectural compliance. Enablement & Technical Leadership * Own the feature development lifecycle- from gathering requirements to prioritization, solutioning, QA, rollout, and change management. * Maintain a forward-looking roadmap that aligns with marketing strategy, business needs, and enterprise technology direction. * Translate architectural designs into technical documentation and executive summaries. * Build, mentor, and develop a high-performing Marketing Technology team, including coaching team members on stakeholder management, strategic thinking, and technical skills. * Accountability for setting team priorities, capacity planning, and resource allocation. * Drive alignment and capability adoption by partnering with Marketing, Sales, RevOps, Data, and Digital teams to translate complex architectural concepts into clear documentation and ensure organization-wide understanding and adoption of new MarTech capabilities. Project & Budget Management * Manage technical resource allocation and integration capacity planning. * Oversee end-to-end MarTech implementations. * Guide integration roadmap prioritization based on scalability and risk. Thought Leadership & Continuous Modernization * Champion modernization through composable architecture and API-first design. * Stay current on evolving API standards and cloud infrastructure models. * Lead innovation initiatives around AI/ML-driven decisioning. What we expect of you * Bachelor's degree in Information Systems, Computer Science, Engineering, or related field and 7+ years of experience in Marketing Technology, CRM integration, or enterprise integration engineering or 11+ ears of experience in Marketing Technology, CRM integration, or enterprise integration engineering * 5+ years designing and implementing RESTful APIs including authentication and governance standards. * Strong understanding of HTTP protocols, JSON payload design, and event-driven architecture. * Experience writing technical integration specifications. * Working knowledge of Python, JavaScript/Node.js, or similar languages. * Experience architecting cloud-native integrations using AWS or Azure. * Familiarity with event streaming platforms such as Kafka or EventBridge. * Deep understanding of data modeling and CDP architecture. * Required Platform Expertise: Adobe (AEP, Marketo, RTCDP, Target) and Salesforce. * Proven leadership experience managing technical teams. * Strong executive communication skills. * Willingness to travel up to 10%. Pay range: $143,000 - $199,800 depending on experience and skill set Annual bonus target of 15% subject to terms and conditions of plan Benefits overview: https://cdw.benefit-info.com/ Salary ranges may be subject to geographic differentials * CDW is committed to being an AI-fluent organization * As a leader, you will champion and be accountable for our vision of becoming an AI-fluent organization. We expect leaders to model curiosity, encourage responsible AI adoption, and foster a culture of continuous learning. You don't need deep technical expertise, but you should be comfortable exploring how AI can enhance strategy, decision-making, and team performance. Your role includes guiding others in building confidence and capability with AI tools and practices, while promoting openness to experimentation and shared learning.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that's curious, adaptive, and ready to explore what's possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice. * About Us * CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what's possible through technology. What makes CDW different isn't just what we do- it's how we do it. At CDW we act as one- building trust, speaking candidly, and working together to achieve more. We play to win- focusing on what matters most and delivering for our customers. And we think forward- staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That's why we think of ourselves as coworkers, not just employees- working together to solve complex challenges and deliver real impact for our customers and communities. As a full-stack, full-lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what's next. Together, we deliver the full promise of what technology can do. * Together, we Make Amazing Happen. * CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.

Description The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM's Global Product Safety, System, and Certification (GPSSC) organization. Our mission is to help GM deliver trusted automated-driving products. As the central authority for automated driving system (ADS) safety, SAFE-ADS brings together experts from across the company to develop and maintain a comprehensive safety case including safety performance indicators for GM's automated-driving technologies. GM's vision is zero crashes, zero emissions, and zero congestion-and autonomous vehicle safety is essential to achieving that vision. As Sr Manager, AV Behavior Safety Engineering, you will lead the strategy and support execution for how GM defines, measures, and validates the safety of SAE Level 3 - 4 Automated Driving Systems powered by machine-learned models. You will report into the AV Safety Strategy and Assurance organization and directly influence launch decisions for GM's next generation of automated driving products. If you are passionate about safety, have deep experience in autonomous vehicle development and validation, and are a proven technical leader in AI/ML-driven systems, this role is an opportunity to shape how millions of people experience safe automated driving. The Role The AV Safety Strategy and Assurance team is seeking a hands-on technical senior manager with extensive experience in the end-to-end development lifecycle of autonomous vehicle behaviors, from ODD and behavior definition through simulation, closed-course, and public-road validation. You will: Lead Technically - Reference and interpret standards such as ISO 21448 (SOTIF), ISO 5083, and AVSC best practices to define GM's strategy for safe autonomous system development, validation and deployment - Own the behavior-focused portion of the ADS Safety Case, including key claims, sufficiency criteria, and recommended evidence for AV behavior safety performance. - Collaborate with Software Validation, Embodied AI, Simulation, and Safety Metrics teams to define the end-to-end AV behavior validation methodology for AI-driven systems. - Set the strategy for how we systematically break down ODDs and how performance is validated per behavior and in aggregate. - Collaborate on evaluation metrics, human benchmarks, and safety launch targets for AV behaviors and overall system performance. This includes supporting development of safety performance indicators (SPIs) for AV behaviors. - Assess AV performance across safety and reliability dimensions using simulation, closed-course, and public-road data and provide clear, prioritized feedback to engineering teams - Define and run an assurance process to verify the sufficiency criteria and safety targets to support launch readiness Lead People - Hire, lead, and develop a high-performing AV behavior safety engineering team. - Set clear goals and expectations, provide coaching and mentorship, and grow the team's technical depth in AV behavior safety, validation, and safety case development. Why This Role Is Unique - Impact at Scale: Your work will directly influence how GM brings safe automated driving systems to millions of customers. - End-to-End Ownership: You will own the strategy, framework, and evidence assessment for AV behavior safety. - Cross-Functional Reach: You will collaborate across AI, software, validation, simulation, metrics operations and vehicle program teams, shaping the direction of GM's automated driving roadmap. Your Skills & Abilities (Required Qualifications) - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field - 8+ years of experience in machine learning, engineering, data science, or a related field - 8+ years in autonomous vehicle or robotics development or related field - Demonstrated experience working on production-intent AV programs - Track record providing technical safety leadership in AV development (e.g., defining safety strategies, risk assessments, validation methodologies, safety case contributions). - Deep understanding of AV behavior development: defining ODDs, behaviors, and evaluation criteria; analyzing simulation, closed-course, and public-road test data; and generating prioritized, actionable recommendations for developers. - Experience applying AV safety standards and best practices, such as ISO 5083, ISO 21448 (SOTIF), and AVSC practices - Excellent communication and storytelling skills, including the ability to explain complex technical tradeoffs to executives and non-technical stakeholders. - Proven ability to influence cross-functional teams (Software, AI/ML, Systems Engineering, Product, Program Management, Operations) without direct authority. - Strong problem-solving mindset, comfort with ambiguity, and a proactive attitude toward learning and continuous improvement. - 3+ years of people leadership experience, including hiring, leading, and growing high-performing technical teams. What Will Give You A Competitive Edge (Preferred qualifications) - Masters Degree in Computer Science, Engineering, Mathematics or related field - Programming & Frameworks : Python , R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL - Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering - Cloud & Big Data Platforms: (Preferred Microsoft Azure (Data Lake, Machine Learning, Databricks)), Nice to Have (AWS (S3, SageMaker, Bedrock) or Google Cloud Platform (BigQuery, Dataflow, AI Platform) ) - Deployment & MLOps: MLflow , Model Monitoring & Versioning, Docker & Kubernetes, GitHub , Jira - Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. • The salary range for this role is $250,600 and $384,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, though which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-KE2 This role is categorized as remote. This means the selected candidate may be based anywhere in the country of work and is not expected to report to a GM worksite unless directed by their manager. The selected candidate will be required to travel <25% for this role. The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee) About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Role Description You are a player-coach who leads a team of Forward Deployed AI Engineers and Creative Pipeline Specialists building GenAI-powered content production systems for the world's largest brands. You don't manage from the sidelines — you write code, review PRs, make architecture calls, and unblock your team by rolling up your sleeves. Your technical credibility is your management tool. You've been on the other side of the table. You've worked at an agency, a creative studio, or a MarTech company where content gets made at scale — so you understand the customer's world from the inside. Now you're leading the team that transforms those workflows with AI. Your team is the core of Adobe's Forward Deployed Engineering org. You own delivery outcomes, team performance, and technical quality across multiple customer engagements simultaneously. You build a team that ships fast, operates with high autonomy, and compounds every engagement into reusable capability. You elevate your team through clarity, judgment, and technical depth — not process, not status reports, not overhead. What You'll Do - Lead by building: You are hands-on. You contribute directly to production systems — writing code, reviewing architecture, debugging deployments — especially when progress or clarity depends on it. Minimum 30% of your time is technical work. - Own delivery outcomes: Drive end-to-end delivery across multiple customer engagements. Scope work, sequence delivery, remove blockers early, and make fast trade-offs between speed, scope, and quality. Every engagement ties back to measurable value realization and customer adoption — not just "we shipped it." - Grow a high-performing team: Recruit, develop, and retain exceptional AI engineers. Set a high bar for performance. Give direct, actionable feedback. Build a culture of ownership, speed, and trust — not a culture of meetings and approvals. - Set technical direction: Guide architecture decisions, enforce engineering standards, and ensure your team builds scalable, reusable systems — not throwaway consulting artifacts. You define what "production-ready" means. - Drive the product feedback loop: Turn field-proven patterns into actionable product roadmap input. You sit at the intersection of customer reality and product strategy, and you make sure what your team learns in the field reaches the people building the product. - Scale the org, not just the headcount: Codify what works into playbooks, shared tooling, and reusable frameworks. Build internal capabilities that make every subsequent engagement faster. You think in leverage, not just delivery. - Represent the org externally: Showcase your team's work at customer workshops, internal reviews, and industry forums. Publish, speak, and build the reputation of FDE as a world-class engineering org — both for Adobe's brand and to attract the best talent. Qualifications - You still write code. - Engineering management track record: 3+ years managing high-performing engineering teams (8+ total years in software engineering). - Hands-on GenAI experience: You've built or deployed AI-powered systems — LLM integrations, RAG pipelines, agent frameworks, or equivalent. - AI-native operator: You use Cursor, Claude Code, Copilot, or equivalent daily. - Creative content supply chain experience: You've built content production systems, MarTech platforms, asset automation tools, or creative workflow technology. - Customer-facing leadership: You've worked directly with enterprise customers — running technical workshops, presenting to stakeholders, embedding with client teams. - Startup speed, enterprise judgment: You've operated in fast-moving environments where you had to figure things out without a playbook. What Sets You Apart - Former technical founder, technical director at an agency, or early engineer at a startup who's built a product from scratch. - You've built AI-powered creative production or content automation systems. - You've managed globally distributed teams and know how to build cohesion across time zones. - You use AI agents to drive your own management workflows. - You've introduced engineering practices into organizations that didn't have them. Benefits - Comprehensive benefits programs. Company Description Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact.

Role Description We're looking for an exceptional VP of Engineering to lead and grow our engineering organization at a pivotal moment — post-Series B, as we scale from a beloved open-source tool into the definitive vector search platform for enterprise AI. You will partner directly with our CEO and leadership team to shape technical direction, build an engineering culture, and ship products that developers and enterprises trust for their most critical workloads. This role combines technical leadership, organizational scaling, and ownership of product delivery. You will be responsible for building and operating our cloud platform, delivering commercial features, and ensuring enterprise-grade reliability, security, and scalability — while staying deeply aligned with our open-source core. You will work closely with the executive team, Product, and Go-to-Market functions to translate the company's strategy into engineering execution. What you will own - Lead and scale a distributed engineering organization across core database infrastructure, cloud platform, and developer experience — owning hiring, culture, and team design. - Partner with the leadership team on product roadmap and architectural decisions, translating company strategy into executable engineering plans. - Drive reliability, performance, and velocity across Qdrant's core engine, Qdrant Cloud, Hybrid Cloud, and emerging products like Cloud Inference and Qdrant Edge. - Establish engineering excellence: code quality standards, incident response, observability, and the operational rhythm needed to run a production database at scale. - Work closely with Product, Developer Relations, and Customer Success to ensure engineering efforts are tightly aligned with the needs of Qdrant's developer community and enterprise customers. - Define and own the engineering hiring plan to meet aggressive growth targets, with a focus on Rust, distributed systems, and ML infrastructure talent. - Champion a culture of rigor, ownership, and craft — the kind of culture that builds a custom storage engine from scratch because the off-the-shelf solution isn't fast enough. Qualifications - 10+ years in engineering leadership, including senior roles in cloud/platform engineering. - Experience building and scaling B2B SaaS platforms. - Proven track record in managing distributed teams. - Deep experience with Kubernetes and cloud-native architectures. - Experience operating high-scale, production-critical infrastructure. - Experience with enterprise security and compliance frameworks. Technical Depth - Strong background in distributed systems. - Experience running large-scale infrastructure in AWS/GCP/Azure. - Deep knowledge of observability, reliability engineering, and automation. - Strong understanding of DevOps, CI/CD, and infrastructure-as-code. Leadership Traits - Strategic thinker who can also dive deep technically. - Strong decision-making in high-growth, fast-changing environments. - Clear communicator across technical and business stakeholders. - Data-driven and customer-focused. Nice to have - Experience with search engines, databases, storage systems, or data infrastructure. - Experience in open-source companies. - Familiarity with AI/ML infrastructure or vector search systems. Benefits - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. - For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Company Description Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI.