
Strategic Project Lead
8 hours ago
At Dastgyr, we're on a mission to revolutionize the way businesses connect and grow. We create seamless solutions that empower retailers and wholesalers to thrive in an ever-changing global landscape.
Since our journey began, we've made incredible progress. Today, our business spans 15+ countries across 5 continents, supported by a global team operating out of 5 offices worldwide.
Our success is fueled by a relentless drive to excel, a commitment to acting like owners, and a shared belief in helping each other grow. By staying on the offence and moving at lightning speed, we've built a culture that drives innovation and pushes boundaries.
Job Responsibilities- Project & Product Management:
- Manage end-to-end project lifecycle for software development initiatives and AI-based projects
- Translate product requirements into actionable tasks, epics, and sprint plans
- Collaborate with designers to create wireframes, workflows, and mockups
- Identify risks and issues early, and drive solutions proactively
- Own and prioritize the product backlog, ensuring alignment with business goals
- Coordinate cross-functional teams including engineering, design, QA, and business stakeholders
- Technical Delivery:
- Guide architectural decisions for scalable software systems (APIs, microservices, cloud-native apps)
- Coordinate with engineers on data pipelines, model integration, and prompt engineering
- Review technical documentation, system designs, and development plans
- Ensure robust DevOps practices including CI/CD, testing automation, and infrastructure-as-code
- AI-Specific Responsibilities:
- Coordinate AI use cases, including generative AI, classification models, and RAG pipelines
- Drive implementation of LLM-powered agents, recommendation systems, and model monitoring
- Collaborate on data strategy—ensuring data quality, security, and labeling workflows
- Understand AI limitations and advocate for responsible use, performance evaluation, and hallucination detection
- Communication & Risk Management:
- Act as the central point of coordination between business, tech, and data teams
- Identify delivery risks and resolve cross-functional blockers early
- Report progress, key decisions, and sprint outcomes to leadership and stakeholders
- Technical Skills & Tools:
- Solid understanding of full-stack architecture and cloud-native systems (AWS, Azure, GCP)
- Familiarity with AI tools and frameworks: OpenAI, LangChain, Hugging Face, TensorFlow, PyTorch
- Working knowledge of API integrations, data pipelines, prompt engineering, and model deployment
- Proficiency in design and prototyping tools: Figma, Sketch, Adobe XD
- Strong command of Jira, Confluence, Git, Docker, CI/CD tools
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