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Lula, South Africa’s leading fintech for SMEs, is seeking an SVP Growth to lead the strategy and execution of its go-to-market engine. This role focuses on spearheading direct growth across funding and banking products, driving full-funnel performance, and developing strategic brand and product positioning. The SVP Growth will also lead the banking product's monetization strategy and build a high-performing, data-driven team to achieve commercial goals.

UI/UX Designer

Role OverviewLula is South Africa’s leading fintech for SMEs. Built on a foundation of smart underwriting and customer-centric innovation, we’re entering our next high-growth phase focused on scaling our funding and banking offerings. This is a rare opportunity to shape the future of SME financial services in South Africa.Our SVP Growth will lead the strategy and execution of our go-to-marketing engine, with a focus on spearheading direct growth across our funding and banking products.Key Responsibilities:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead the development and execution of an integrated go‑to‑market strategy for our funding and banking products, ensuring a consistent brand message and accelerating market growth.</li><li class="leading-relaxed">Drive full-funnel performance across Marketing, Sales and Customer Experience</li><li class="leading-relaxed">Develop and enable the execution of strategic brand and product positioning that differentiates Lula in the market, drives customer acquisition, and strengthens our competitive advantage and Lula’s voice in the market.</li><li class="leading-relaxed">Lead the strategic development and execution of our banking product's monetization strategy, including pricing, bundling, and other revenue-driving initiatives.</li><li class="leading-relaxed">Collaborate with Product, Risk, and Technology teams to align product capabilities with commercial goals</li><li class="leading-relaxed">Build a testing and learning culture around data-driven decision-making</li><li class="leading-relaxed">Develop and lead a high-performing, commercially minded team, instilling a culture of accountability to achieve key business objectives.</li></ul>Qualifications:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">5-7+ years of commercial or growth leadership experience, with a focus on business banking monetization, ideally in fintech, SME financial services, or B2B environments.</li><li class="leading-relaxed">Proven success in scaling full-funnel marketing, sales, and Customer Success teams.</li><li class="leading-relaxed">Strong background in brand positioning, B2B campaigns, and funnel optimization</li><li class="leading-relaxed">Excellent cross-functional communication and execution orientation</li><li class="leading-relaxed">Experience working in regulated environments or with SME customer segments.</li><li class="leading-relaxed">Proven track record of driving revenue growth and market expansion.</li><li class="leading-relaxed">Deep understanding of market trends, customer behavior, and the competitive landscape in the fintech industry.</li><li class="leading-relaxed">Excellent communication and interpersonal skills.</li></ul>

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This Research Engineering Manager role at Google DeepMind focuses on leading research projects within the Responsibility portfolio to build AI responsibly. The position involves managing a team of Research Engineers, defining technical direction, and ensuring high-impact delivery. It requires deep technical expertise in Machine Learning and Large Language Models, strong leadership, and the ability to collaborate with cross-functional teams to advance responsible AI development and communicate progress effectively.

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<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Snapshot</h2>We are hiring a Research Engineering Manager to focus on a range of research projects within the Responsibility portfolio at Google DeepMind. This role is crucial for fulfilling Google DeepMind's mission to build AI responsibly to benefit humanity. The position involves leading teams, defining technical direction, and ensuring high-impact delivery across multiple projects that advance responsible AI development.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About Us</h2>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">The Role</h2>We’re looking for an experienced Engineering Manager to lead and contribute to key research projects within our Responsibility portfolio. You will manage a team of Research Engineers, fostering a culture of innovation and collaboration. You will be responsible for setting the technical vision, guiding project execution, and ensuring alignment with Google DeepMind's broader strategy for responsible AI. This role requires a unique blend of deep technical expertise in Machine Learning and Large Language Models, strong leadership skills, and the ability to navigate complex projects and stakeholder landscapes. You will work closely with Research Scientists, Product Managers, and other engineering teams to deliver impactful results and communicate progress effectively to both technical and executive audiences.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Key responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Lead, mentor, and grow a team of Research Engineers.</li><li class="leading-relaxed">Define and drive the technical strategy and roadmap for research projects within the Responsibility portfolio.</li><li class="leading-relaxed">Oversee the design, development, and implementation of robust and scalable ML systems and tools.</li><li class="leading-relaxed">Ensure projects are well-defined, resourced, and executed efficiently to meet research and organizational objectives.</li><li class="leading-relaxed">Collaborate with cross-functional teams (e.g., Research, Product, Policy) to identify and address key challenges in responsible AI.</li><li class="leading-relaxed">Communicate complex technical concepts, project statuses, risks, and opportunities clearly and concisely to various stakeholders, including researchers, engineers, and executive leadership.</li><li class="leading-relaxed">Foster strong relationships with internal and external collaborators.</li><li class="leading-relaxed">Stay abreast of the latest advancements in AI, machine learning, LLMs, and AI ethics and safety.</li><li class="leading-relaxed">Connect project work to the organization's strategic goals for responsible AI development.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About You</h2>In order to set you up for success as a Research Engineering Manager at Google DeepMind, we look for the following skills and experience:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">7+ years of experience in a technical leadership role, with at least 3 years of experience managing engineering teams.</li><li class="leading-relaxed">Bachelor's degree in Computer Science, Engineering, Machine Learning, or a related technical field, or equivalent practical experience.</li><li class="leading-relaxed">Proven track record of leading and delivering complex, large-scale machine learning projects.</li><li class="leading-relaxed">Deep understanding and hands-on experience with state-of-the-art Machine Learning techniques, particularly in Deep Learning and Large Language Models (LLMs).</li><li class="leading-relaxed">Strong programming skills, preferably in Python, and experience with common ML frameworks (e.g., TensorFlow, PyTorch, JAX).</li><li class="leading-relaxed">Excellent communication and interpersonal skills, with the ability to explain technical concepts to both technical and non-technical audiences, including executive leadership.</li><li class="leading-relaxed">Experience in strategic planning and connecting technical projects to broader organizational goals.</li><li class="leading-relaxed">Ability to work flexibly across multiple projects and adapt to evolving priorities.</li></ul>In addition, some of the following would be an advantage:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Master's or PhD in Computer Science, Machine Learning, or a related field.</li><li class="leading-relaxed">Experience working in AI ethics, safety, or responsibility research.</li><li class="leading-relaxed">Experience with large-scale data processing and distributed systems.</li><li class="leading-relaxed">Publications or contributions to the machine learning research community.</li><li class="leading-relaxed">Experience working in a fast-paced, research-driven environment.</li><li class="leading-relaxed">Familiarity with the sociotechnical aspects of AI systems.</li></ul>The US base salary range for this full-time position is between $248,000 - $349,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.Application deadline: Friday 31st October 2025Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy PolicyAt Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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