Posted 1 week ago
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Business Development Manager (BDM)
We are seeking a results-driven Business Development Manager with proven expertise in driving international growth through strategic partnerships, market expansion, and technology-based solutions. The ideal candidate will possess a strong understanding of global markets and a passion for building long-term client relationships in the IT services and product domain.
About Dynamic Labs
At Dynamic Labs, we’re building next-gen SaaS solutions empowering healthcare, retail, and enterprise teams across the globe with intelligent, AI-powered tools.
Preferred Skills & Experience
- Good understanding of Python, JavaScript/Node.js, or similar languages.
- Basic familiarity with LLM APIs (OpenAI, HuggingFace, etc.).
- Exposure to machine learning concepts and AI model integration.
- Experience or coursework in cloud platforms (AWS, Azure, GCP) or AI/ML tooling.
- Contributions to open-source projects, AI challenges, or public model repositories.
Bonus Points If You Have
- Experience with LangChain, RAG (Retrieval-Augmented Generation), or agent frameworks.
- Exposure to vector databases like Pinecone, Weaviate, or FAISS.
- Domain knowledge in healthcare, fintech, or retail for vertical AI product development.
- Contributions to open-source projects, AI challenges, or public model repositories.
Who You Are
- A curious builder with a hacker mindset and an eagerness to learn.
- Comfortable collaborating in cross-functional teams/ Cohorts.
- Excited about shaping how AI transforms software development.
- Excited about shaping how AI transforms software development.
What’s In It for You
- Work with an innovation-first team building the future of AI and software.
- Real-world experience integrating AI into production SaaS platforms.
- Mentorship from engineers, product leaders, and startup founders.
- A fast-paced, inclusive environment where your ideas and experiments matter.
Roles and Responsibilities
- Lead and manage international B2B sales efforts, focusing on IT services and product-based solutions.
- Identify new business opportunities and build strong client relationships across geographies such as the USA, Canada, Europe, and Africa.
- Integrate AI services (e.g., NLP, image recognition, predictive analytics) into existing software products.
- Explore prompt engineering, fine-tuning, and optimization of foundation models for specific use cases.
- Collaborate with cross-functional teams—data scientists, DevOps, and product leads—to deliver AI features to production.
- Contribute to AI architecture design, ethical AI usage guidelines, and internal knowledge-sharing.
- Keep up with latest AI trends, open-source models, and developer tooling.
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