We are looking for a highly skilled and dynamic Senior Solution Consultant to bridge the gap between technology and business strategy. This role is ideal for someone who thrives at the intersection of solution engineering, customer engagement, and business impact. As a trusted technical advisor, you will work closely with clients to define , design , and implement AI- driven solutions that solve real-world challenges. Key Responsibilities Solution Engineering Technical Consultancy: Collaborate with clients to understand business objectives, pain points, and functional needs. Design tailored AI and deep-tech solutions that align with customer requirements. Develop and present high-level architecture blueprints and technical roadmaps. Work closely with internal teams to define project scope, timelines, and resource requirements. Sales Enablement Technical Strategy: Support the sales and business development teams by providing technical expertise. Conduct high-impact product demonstrations, workshops, and client presentations. Tailor technical discussions to showcase AI solutions business value. RFP Proposal Management: Lead the creation of technically sound and commercially viable proposals. Analyze RFPs and RFIs to craft compelling, customer-centric responses. Collaborate with sales and product teams to ensure solutions are strategically positioned. Cross-Functional Collaboration Innovation: Work closely with the product and engineering teams to ensure customer feedback is integrated into future development. Partner with marketing to develop technical content, white papers, and case studies. Support post-sales engagement by ensuring seamless project execution and customer success. Qualifications Skills Experience: 8-10 years of experience in solution engineering, technical consultancy, or software architecture. Proven track record of delivering AI, deep-tech, or enterprise software solutions. Experience in customer-facing roles, preferably in a techno-commercial capacity. Technical Expertise: Strong knowledge of software development, AI/ML technologies, cloud platforms, and system integration. Ability to translate business challenges into scalable technical solutions. Familiarity with modern tech stacks, APIs, and deployment architectures. Business Strategic Acumen: Deep understanding of how AI and deep-tech drive business transformation. Ability to align technical solutions with business objectives and ROI considerations. Strong communication and presentation skills, capable of influencing both technical and non-technical stakeholders. Soft Skills Mindset: Problem-solver with a strategic mindset, always seeking innovative ways to drive value. Ability to work independently and collaboratively in a dynamic, fast-paced environment. High attention to detail with the ability to manage multiple projects simultaneously. Why Join Yavar Be a key player in shaping AI-driven digital transformation for leading enterprises. Work with emerging technology and trends. Thrive in a fast-growing, innovation-driven environment. Rewarding performance-based incentive and accelerated career growth, and a culture of collaboration and excellence. Yavar is an enterprise AI platform company delivering private AI solutions. Acting as the digital twin of your enterprise, our platforms unlock the power of data while ensuring security and privacy.
We are looking for a creative and data-driven Product Marketing Manager to drive the go-to- market strategy, positioning, and messaging of our AI platforms. This role is perfect for someone with a passion for technology and a knack for storytelling, helping bridge the gap between product development, sales, and customer success. Key Responsibilities Product Positioning & Messaging: Develop clear and compelling product messaging that highlights the platforms value to enterprises. Translate technical capabilities into business benefits for different target audiences. Ensure consistency in brand and product messaging across all marketing channels. Go-to-Market (GTM) Strategy: Work with product and sales teams to define and execute GTM strategies for new product launches. Identify target customer segments and tailor marketing initiatives accordingly. Monitor and refine GTM approaches based on market trends and customer insights. Content & Demand Generation: Create engaging marketing content such as blog posts, case studies, whitepapers, sales collateral, and email campaigns. Support demand generation efforts by crafting lead-nurturing campaigns, webinars, and industry reports. Collaborate with design teams to develop visually appealing assets that enhance product storytelling. Market Research & Competitive Analysis: Conduct in-depth research on customer needs, industry trends, and competitor offerings. Identify key differentiators to position the platforms as market leaders. Gather customer feedback and insights to refine marketing strategies and product messaging. Sales Enablement & Collaboration: Develop sales decks, one-pagers, and battle cards to help the sales team communicate product value effectively. Conduct internal training sessions to ensure cross-functional teams understand product positioning. Work closely with product development based on market needs and customer feedback. Qualifications & Skills 2+ years of experience in product marketing, B2B marketing, or technology marketing. Experience working in AI, SaaS, or enterprise software industries is a plus. Marketing & Technical Skills: Strong understanding of product positioning, messaging, and go-to-market strategies. Ability to translate complex technical concepts into compelling business value. Experience with content creation, digital marketing, and demand generation strategies. Familiarity with CRM tools, marketing automation platforms, and analytics tools. Soft Skills & Mindset: Excellent storytelling, communication, and presentation skills. Highly creative and analytical, with a strategic approach to problem-solving. Ability to work cross-functionally with sales, product, and design teams. Self-motivated, detail-oriented, and able to thrive in a fast-paced environment.
Yavar is revolutionizing enterprise intelligence through our groundbreaking private AI platform. We create digital twins that unlock hidden potential within organizations, transforming vast data landscapes into actionable intelligence. At this pivotal growth moment, we're seeking an exceptional engineering leader to scale our development capabilities and drive technical excellence. Your Role & Impact As an MLOps Engineer, you will play a crucial role in designing, implementing, and optimizing machine learning pipelines for our AI-driven products. Working at the intersection of data science, DevOps, and software engineering, you will ensure seamless deployment, scalability, and monitoring of ML models. In this fast-paced startup environment, you will drive innovation and reliability in our AI infrastructure, enabling efficient and high-performance model operations. Key Responsibilities Develop and manage end-to-end ML pipelines from training to production. Automate model training, validation, and deployment using CI/CD. Ensure scalability and reliability of AI systems with Docker & Kubernetes. Optimize ML model performance for low latency and high availability. Design and maintain cloud-based/hybrid ML infrastructure. Implement monitoring, logging, and alerting for deployed models. Ensure security, compliance, and governance in AI model deployments. Collaborate with Data Scientists, Engineers, and Product Managers. Define and enforce MLOps best practices (versioning, reproducibility, rollback). Maintain model registry and conduct periodic pipeline reviews. Experience & Skills: 5+ years in MLOps, DevOps, or Cloud Engineering. Strong experience in ML model deployment, automation, and monitoring. Proficiency in Kubernetes, Docker, Terraform, and cloud platforms (AWS, Azure, GCP). Hands-on with CI/CD tools (GitHub Actions, Jenkins). Expertise in ML frameworks (TensorFlow, PyTorch, MLflow, Kubeflow). Understanding of APIs, microservices, and infrastructure-as-code. Experience with monitoring tools (Prometheus, Grafana, ELK, Datadog). Strong analytical and debugging skills. Preferred: Cloud or MLOps certifications, real-time ML, ETL, and AI ethics knowledge. Cloud & Infrastructure: AWS, GCP, Azure, Terraform, Kubernetes, Docker. MLOps & Model Management: MLflow, Kubeflow, TFX, SageMaker. CI/CD & Automation: GitHub Actions, Jenkins, ArgoCD, Airflow. Monitoring & Logging: Prometheus, Grafana, ELK Stack, Datadog. Collaboration & Documentation: Slack, Confluence, JIRA, Notion. Why Join Yavar? Join us at an exciting growth phase, working with cutting-edge AI technology and talented teams. This role offers competitive compensation, equity participation, and the opportunity to shape a world-class engineering organization. Your leadership will be crucial in turning our innovative vision into reality, creating products that reshape how enterprises harness artificial intelligence. *At Yavar, talent knows no boundaries. While experience matters, we value your drive for excellence and ability to execute. Ready to build the future of enterprise AI? We're eager to start a conversation.* Location: Chennai / Coimbatore. Yavar is an enterprise AI platform company delivering private AI solutions. Acting as the digital twin of your enterprise, our platforms unlock the power of data while ensuring security and privacy.