Role Description We are looking for a Senior Performance Marketing Specialist to join us on a part-time or full-time basis (30–40 hours per week). - Planning, managing, and optimizing Google Ads campaigns (Search, Display, YouTube, Performance Max) - Setting up and maintaining conversion tracking, smart bidding, and attribution models - Developing strategies for continuous performance improvement - Using automated rules and scripts for campaign optimization - Running A/B tests and data-driven optimization of ad copy, creatives, and landing pages - Leveraging Google’s own tools (Performance Planner, Recommendations, Insights) as well as external tools, if applicable (e.g. Optmyzr, Supermetrics) - Creating dashboards (Looker Studio) and reporting directly to management - Close collaboration with internal teams (Branding, Content, Sales) Qualifications - 4 - 6 years of experience in SEA / performance marketing - Strong expertise with Google Ads (Search, Display, YouTube, Performance Max) - Experience with smart bidding, conversion tracking, and Google Tag Manager - Confident in working with data & KPIs, ideally with experience in Looker Studio - Analytical mindset, structured way of working, high level of initiative - Advantageous: experience with international campaigns (e.g. DACH) Benefits - A responsible role with plenty of creative freedom - Working in a dynamic, international education group - Opportunity to contribute your own ideas and test new tools - Remote or hybrid working model - Attractive salary depending on experience and qualifications Company Description GfW – Gesellschaft für Weiterbildung is dedicated to promoting social mobility through education. As an education holding company based in Berlin, we invest in existing educational institutions, continue them as part of succession solutions, and support them in taking their next growth steps. Together with our partner institutions, we are building a strong educational network that is expanding across regions and giving more and more people access to high-quality education and training. We believe in transparency, fairness, empowerment, and communication at eye level – values we embody not only towards our participants and partners, but also within our young and dynamic team. Diversity, respect, and freedom from discrimination are not empty phrases for us, but lived reality.

Role Description A US-based direct-to-consumer company operating a portfolio of seven Shopify brands is bringing paid media fully in-house and looking for a Senior Performance Marketer to own it. This is a high-accountability role for someone who thrives in execution, not just strategy. If you live in the ad accounts and love building creative testing engines that actually move the needle, this role is for you. - Personally manage and scale Meta and Google ad accounts across all brands in the portfolio. - Build and run a high-velocity creative testing engine, launching, analyzing, and iterating constantly based on performance data. - Direct the creative feedback loop with internal designers and editors to maintain testing volume and quality. - Use tools like Triple Whale, GA4, and platform data to drive decisions tied to CAC, MER, and revenue. - Partner with the broader team on Shopify improvements that impact conversion and attribution. Qualifications - Deep, hands-on experience running Meta ads for e-commerce or DTC brands. - Strong Google Ads skills across Search and Shopping campaigns. - A disciplined, creative testing mindset built around volume, structure, and learning speed. - Solid familiarity with Shopify, pixels, catalogs, tracking, and attribution. - Ability to manage multiple brands, products, and audiences simultaneously without losing focus. Requirements - Agency background or experience working across multiple brands at once. - Exposure to multi-brand portfolio management within a single business. Benefits - Competitive USD salary. - 100% remote work. Disclaimers - You are applying to work with an international company. Make sure your CV is in English, otherwise your application can't be considered. - We consider candidates from all around LATAM. - If you don't have a formal portfolio, please share a Drive with various samples of your work. - Please note this is a contractor position: As a contractor, you are responsible most of the time for managing your own contributions to social security, health insurance, and any applicable taxes or obligations in your country of residence. This can vary depending on the client. For contractor FAQs, please visit our website.

• Deliver High-Impact Creative: Concept and design best-in-class digital creative across social, and video, with a strong focus on visual storytelling and performance. • Mentor & Lead: Act as a direct supervisor and mentor to junior and mid-level Art Directors and Designers. Provide clear, constructive feedback to creatives across disciplines (for example, to copy) to elevate the team's output and foster professional growth. • Support Video + Content Production: Contribute to pre-production planning, support on-set shoots, and collaborate with editors and designers in post to ensure work comes to life as intended. • Partner Across Disciplines: Work closely with copywriters, strategists, producers, project managers, and client teams to ensure creative aligns with brief goals, brand voice, and business objectives. • Manage Creative Execution: Own the work from end to end. Concepting and producing polished on-brand, performance-minded assets that meet timelines and briefs. As an Associate Director, Art Direction, you will lead by doing, driving execution while strategically delegating portions of our projects to our junior team members to support efficiency, mentorship and delivery while remaining accountable for the final output. • Be a Problem Solver: Navigate ambiguity with CD support, adapt to shifting priorities, and bring proactive solutions to creative and production challenges. These solutions should come in the form of daily brainstorming and inspiration sharing with the team. • Cultivate Culture: Foster an inclusive, high-energy environment. Lead daily brainstorms and inspiration-sharing sessions to keep the team’s creative pulse sharp.

Role Description We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated impact on production AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities - Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost. - Identify and eliminate bottlenecks across data loading, model compute, communication, and memory. - Implement and tune quantization, sparsity, and pruning strategies to reduce model footprint and accelerate inference. - Optimize distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding. - Tune attention implementations using FlashAttention, paged attention, and related techniques. - Implement KV cache optimization, continuous batching, and speculative decoding for LLM serving. - Drive compiler-level optimizations using Triton, XLA, TorchInductor, or TVM, working with the broader ML framework community to land improvements that translate into measurable end-to-end performance gains. - Optimize data pipelines, sharding strategies, and storage access patterns for high-throughput training. - Build and maintain rigorous benchmark suites and regression frameworks across workloads. - Collaborate with ML and platform engineering teams to embed best practices in standard pipelines. - Drive cost-efficiency improvements through model architecture, hardware selection, and scheduling strategies. - Evaluate new hardware and software offerings, and advise on adoption. - Document performance tuning playbooks and share findings broadly across engineering teams. - Stay current with AI systems research and translate advances into production improvements. Qualifications - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field. - Six or more years of experience in performance engineering, ML systems, or HPC. - Strong proficiency in Python and C++. - Hands-on experience optimizing deep learning workloads on modern GPUs. - Deep understanding of distributed training and inference techniques. - Experience with profiling tools across CPU, GPU, and distributed systems. - Familiarity with model compression techniques and their accuracy implications. - Strong grasp of memory hierarchies, communication primitives, and parallelism strategies. - Excellent measurement, debugging, and analytical reasoning skills. - Strong communication and collaboration skills. Preferred Qualifications - Experience optimizing LLM inference at production scale. - Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects. - Familiarity with custom kernel authoring in Triton or CUTLASS. - Experience with FinOps for AI workloads. - Publications or talks on AI systems performance. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] . Learn more about Bright Vision Technologies at www.bvteck.com .