**Essential Responsibilities** - Define and execute the engineering vision and roadmap in alignment with company objectives and market opportunities. - Partner with executive leadership to shape technology strategy, investment priorities, and long-term platform evolution. - Drive innovation initiatives and evaluate emerging technologies to maintain a competitive advantage. - Establish engineering KPIs and metrics to measure team effectiveness, delivery quality, and operational excellence. - Lead offshore and nearshore remote teams effectively, including hybrid teams comprised of employees and contractors. **Organizational Leadership and Talent Development** - Lead, mentor, and develop multiple engineering managers and their teams, fostering a culture of accountability, collaboration, and continuous improvement. - Build and scale engineering teams through strategic hiring, retention strategies, and succession planning. - Create career development frameworks and growth opportunities to attract and retain top engineering talent. **Technical Excellence and Architecture** - Provide architectural oversight and technical governance across all engineering initiatives, ensuring scalability, security, and reliability. - Drive adoption of modern engineering practices, including cloud-native architectures, microservices, and DevOps methodologies. - Establish and enforce coding standards, design principles, and security policies across the engineering organization. - Oversee technical debt management and platform modernization efforts. - Enable high-traffic, high-transaction architectures. **Delivery and Operational Excellence** - Own engineering delivery across multiple product lines, ensuring projects are delivered on time, within budget, and to quality standards. - Manage engineering budgets, resource allocation, and vendor relationships. - Drive operational excellence through robust monitoring, incident management, and continuous improvement processes. - Ensure compliance with enterprise security, regulatory requirements, and industry best practices. **Cross-Functional Collaboration** - Serve as an engineering representative in executive discussions, board presentations, and strategic planning sessions. - Partner with Product, Operations, and Business Development to align engineering priorities with market demands and customer needs. - Communicate technology vision, risks, and tradeoffs effectively to both technical and non-technical stakeholders. - Build strong relationships with external partners, vendors, and technology communities.

DeVry University strives to close our society’s opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces. Our colleague experience is an area of obsessive focus. At DeVry University, we care about you. Because, only through you can we deliver our unique Care Formula to our learners and partners. Opportunity: DeVry University is seeking Industry Professionals with a Master's degree to share their knowledge and experience as an Adjunct Faculty member to teach day, evening and/or Saturday practitioner-based programs in various instructional areas. - Courses meet once or twice a week for eight weeks. - Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment. - Faculty are responsible for facilitating student learning by teaching educational courses and programs in accordance with DeVry University requirements. - Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives. - All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. Responsibilities: - Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus, and which includes the terminal course objectives. - Organizes, prepares, and regularly revises and update all course materials. - Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students. - Models effective oral and written communications that engage the students, provide clarity, and improve student learning. - Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories. - Ensures that the content and level of material included on exams correspond to the course terminal objectives. - Demonstrates consistency and fairness in the preparation and grading of exams and provide timely feedback to students. - Completes other duties as assigned. Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - A Master’s degree is required/Doctoral degree preferred (with 18 graduate hours in the subject being taught for undergraduate teaching). - Qualifying credentials must be awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Administration, or by an international institution determined to hold equivalent accreditation - Additional requirements driven by state licensing or accreditation considerations may apply. - Faculty must have requisite subject matter expertise and outstanding communication skills. *Please upload a copy of your unofficial transcripts graduate level and above Pay: Visiting Professor pay is based on degree, credit hours taught per 8-week session, and location. DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University’s needs and discretion. - Pay may vary in most states from $1500-$2700 per 8-week session - Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour For Visiting Professor roles, we accept applications on an ongoing basis. DeVry University offers benefit options for Visiting Professors, including: - 401(k) and Roth Plan - Paid Tuition Program - Remote and Flex Work Options - Paid Sick Time - Technology Stipend Benefits vary based on employment status. We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.

Title: Engineering Manager, GPU (ML Accelerator) Location: San Francisco, CA | New York City, NY | Seattle, WA Job Description: About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: - Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems - Become familiar with the team's technical stack enough to make targeted contributions as an individual contributor - Manage day-to-day execution of the team's work - Prioritize the team's work and manage projects in a highly dynamic, fast paced environment - Coach and support your reports in understanding, and pursuing, their professional growth - Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: - Have 1+ years of management experience in a technical environment, particularly performance or distributed systems - Have a background in machine learning, AI, or a similar related technical field - Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development - Excel at building strong relationships with stakeholders at all levels - Are a quick learner, capable of understanding and contributing to discussions on complex technical topics - Have experience managing teams through periods of rapid growth and change - Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level of abstraction) to be effective Strong candidates may also have experience with: - High performance, large-scale ML systems - GPU/Accelerator programming - ML framework internals - OS internals - Language modeling with transformers The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 - $850,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

About lemlist lemlist is a global B2B SaaS business with one mission: help any business grow. We’re doing $50M+ ARR, while being: - Bootstrapped & profitable - 145 people, remote-friendly, agile - Majority-owned by our founder Guillaume Moubeche, giving us freedom and independence We run two product lines: - Sales Engagement with lemlist ($45M ARR, growing +60% YoY) - Social selling with Taplio & Tweet Hunter ($5M ARR) Our ambition: become a world-class giant in Sales Tech. Our mantra: Keep growing. About the role We’re looking for a Tech Lead or a Senior Fullstack TypeScript Developer to join our team. 👉 The role starts as a Senior Developer, then evolves into a Tech Lead position after 3-6 months, once you’ve proven yourself in the squad. You’ll design, build, and ship features across frontend and backend, improve performance, and progressively take leadership within your squad to set technical standards, mentor peers, and drive delivery. What you’ll do - Build new features end-to-end (frontend + backend) by working hand-in-hand with a strong Product team - Improve the codebase (refactoring, bug fixes, optimization) - Collaborate with the rest of the team to solve technical issues - Mentor fellow developers, share knowledge, and raise the bar - Step up as Tech Lead in your squad: drive quality, make technical choices, and align delivery What success looks like Within 3 months - You’re fully onboarded and comfortable in our stack - You’ve shipped meaningful features in production - You’ve contributed to improving our codebase Within 6 months - You’ve led delivery of multiple successful projects - You’ve had direct impact on scalability & performance - You’ve grown into your Tech Lead role and mentor others What’s in it for you - Join a bootstrapped, profitable, fast-growing SaaS company - Build products used by thousands of businesses worldwide - See your impact quickly with a very short feedback loop - Work with senior engineers who love to learn and share knowledge - Remote-first culture (office in Paris if you prefer 🇫🇷) - No endless meetings, high autonomy, big impact About you Must have - 8+ years in TypeScript / JavaScript (frontend + backend) - Solid skills in Node.js, React, MongoDB - Proven track record building & maintaining web apps - Always hungry to learn more, particularly around JS/TS - Autonomous, fast learner, and collaborative - Fluent in French & English, based in French timezone (+/- 2h) Nice to have - B2B SaaS startup experience - You worked on a SaaS that scaled massively - You are familiar with advanced performance optimization - Self-taught hacker or side-project builder - Passionate about experimenting & creating beyond work Package - 65 - 75K€ fixed + 18K€ bonus - Profit sharing: when lemlist wins, you win too - Full perks: Alan Blue (healthcare) 100% taken care of for you and your family, Swile meal vouchers, 100% of your Navigo card, MacBook Pro & remote setup budget - Annual global team retreat in amazing locations 🌍 Recruitment process - Interview with Lucas (TAM) - Technical interview with Corentin (VP of Engineering) - Technical interview with Mickael (CTO) - Final chat with Charles (CEO)