3 years of experience with Internet products and technologies. Experience in data analysis, with the ability to interpret datasets, identify trends, and translate findings into compelling narratives. Knowledge of apps platforms and products, the performance advertising market, or online ads landscape. Ability to collaborate cross-functionally with multiple teams and stakeholders while building relationships. Excellent project management skills, with the ability to oversee multiple, simultaneous solutions, supported by internal teams. Excellent business communication, negotiation, and influencing skills.

Own the agentic & RAG roadmap — design, prototype, and launch LLM agents (planner–executor, multi‑agent, tool‑calling) that hit sub‑second P95 latency in production. Invent & productionise RAG pipelines — embedding strategy, vector‑DB design (Weaviate, Pinecone), hybrid search, evaluations, guard‑rails. Fine‑tune frontier models with PEFT/LoRA, RLHF, safety alignment; publish research that moves the needle. Optimise inference — quantisation (INT4/8), speculative decoding, TensorRT‑LLM/vLLM or Ray Serve to cut cost per token by ≥ 40 %. Lead & mentor a small, high‑agency team; codify MLOps, CI/CD, observability, and data‑governance best practices. Partner with product & design to turn research into delightful user features that 10× customer ROI

Own the agentic & RAG roadmap — design, prototype, and launch LLM agents (planner–executorMeta Ads Campaign Strategy & Management: Develop, implement, and optimize paid campaigns on Meta (Facebook and Instagram) to drive performance and meet business objectives. Lead the end-to-end campaign execution, including campaign creation, audience targeting, ad copywriting, and budget management. Conduct in-depth audience research and leverage Meta's targeting tools to ensure campaigns reach the right people. Performance Analysis & Optimization: Analyze campaign performance data to optimize for key metrics like Cost Per Acquisition (CPA), Return on Ad Spend (ROAS), Click-Through Rate (CTR), and conversions. Continuously refine targeting, bidding strategies, and creative assets based on performance data. Conduct A/B testing on ad copy, images, video content, and audience segments to improve ad performance. Budget Management: Oversee and manage campaign budgets to ensure cost-effective advertising and maximize return on investment. Forecast and adjust budgets based on campaign performance, ensuring optimal ad spend distribution across campaigns. Creative Strategy & Optimization: Work closely with creative teams to develop engaging ad formats (carousel, video, static, etc.) that align with the brand's goals. Optimize creative assets to improve engagement, conversions, and overall campaign performance on Meta’s platforms. Reporting & Communication: Generate and present detailed campaign performance reports to internal stakeholders or clients, offering clear insights and actionable recommendations. Communicate effectively with clients to align on objectives, provide updates, and discuss future strategies. Meta Ads Best Practices & Compliance: Ensure all campaigns adhere to Meta’s advertising policies and guidelines. Stay up to date with new Meta Ads features and updates, incorporating these innovations into campaigns for better performance. Cross-functional Collaboration: Collaborate with other marketing teams, including content creators and design teams, to ensure that campaigns are aligned with broader marketing strategies. Work with analytics teams to ensure proper tracking, pixel implementation, and data accuracy across campaigns. Continuous Learning & Improvement: Stay informed on trends and best practices in social media advertising and Meta Ads platforms. Experiment with new ad formats and features to discover opportunities for improvement. , multi‑agent, tool‑calling) that hit sub‑second P95 latency in production. Invent & productionise RAG pipelines — embedding strategy, vector‑DB design (Weaviate, Pinecone), hybrid search, evaluations, guard‑rails. Fine‑tune frontier models with PEFT/LoRA, RLHF, safety alignment; publish research that moves the needle. Optimise inference — quantisation (INT4/8), speculative decoding, TensorRT‑LLM/vLLM or Ray Serve to cut cost per token by ≥ 40 %. Lead & mentor a small, high‑agency team; codify MLOps, CI/CD, observability, and data‑governance best practices. Partner with product & design to turn research into delightful user features that 10× customer ROI

Selected intern's day-to-day responsibilities include: 1. Conduct keyword research and implement SEO best practices to increase organic traffic. 2. Monitor and analyze website performance using Google Analytics to identify areas for improvement. 3. Assist in the creation and optimization of SEM campaigns to drive targeted traffic to websites. 4. Collaborate with the social media team to develop and implement marketing strategies across various platforms. 5. Write compelling and SEO-friendly content for websites, blogs, and social media posts. 6. Stay up-to-date on industry trends and best practices to continually improve SEO and digital marketing efforts. 7. Provide regular reports and insights on campaign performance to the team. 8. Create and manage link-building strategies, content marketing strategies, and social media presences 9. Develop engaging online content, including forums, videos, graphics, and blogs

You should apply if you have: 2–5 years of experience in startups, consulting, strategy, or business operations. The hunger to learn and contribute beyond your comfort zone. An entrepreneurial mindset with strong execution bias. A high sense of ownership, accountability, and a "get-things-done" attitude. Confidence in dealing with senior leadership, founders, and external partners. A flexible approach to problem-solving and an openness to wear multiple hats. You should not apply if you: Require heavy supervision or a rigid structure to work effectively. Prefer working only within clearly defined job boundaries. Are uncomfortable working in a fast-changing, high-pressure environment. Don’t enjoy working on high-impact, ambiguous projects with tight timelines. Are not comfortable handling confidential and sensitive business information. Skills Required: Strong analytical and structured problem-solving skills. Exceptional written and verbal communication. Proficiency in Excel/Google Sheets and PowerPoint/Google Slides. Highly organized, self-motivated, and detail-oriented. Ability to multitask, prioritize, and manage multiple projects under pressure. Comfortable navigating ambiguity and working independently in a fast-paced setup. Collaborative mindset with the ability to work cross-functionally and manage stakeholders. What will you do? Lead and support strategic and operational projects across departments (e.g., marketing, growth, product, HR, operations). Drive data analysis, competitive research, and internal reporting to support business decisions. Collaborate with internal teams and stakeholders to ensure timely execution and resolution of key deliverables. Draft internal communication, presentations, and documents for leadership and external stakeholders. Track progress on founder-driven initiatives and ensure follow-ups and accountability. Identify inefficiencies or gaps in operations and recommend/improve processes accordingly. Prepare content, briefs, and talking points for meetings, reviews, and pitches.