Support Lead

We are looking for a passionate and experienced Business Analyst Trainer to join our training team. This role involves delivering high-quality training programs on business analysis tools, methodologies, and best practices, both in-person and online.

Responsibilities

We’re growing quickly on grounds of great customer love & are looking to add a new Retention Marketing Manager to our growth team. Your responsibilities would include (but not be limited to):

● Find key levers for growth in the user journey funnels across all channels (CRM, Digital marketing, direct, etc.) and platforms (App, Web, Mweb, etc.)

● Develop a personalization roadmap and execution plan across teams to help drive better visits/user and visit to buy conversions

● Drive initiatives to maximize LTV

● Manage cross-functional growth projects at both macro and micro levels, working closely with product and functional teams to run experiments, A/B tests, and roll out features on an ongoing basis

● Analytical :- Develop data-backed insights to predict good/bad customer journeys, understand user engagement, new vs retention programs to find levers for growth

Skills You’d be a great fit for the role if you display these qualities:

● Ability to drive data-backed business decisions for revenue growth

● Detail Oriented- Good at problem-solving skills

● Experience of working in unstructured environment and entrepreneurial in nature

• Action-oriented and energetic, with a focused and pragmatic approach to problem

Responsibilities

• Product Strategy: Develop and communicate product vision, strategy, and roadmap.
• Requirement Gathering: Identify and prioritize product requirements through user research.
• Project Planning and Management: Define project goals, milestones, and manage timelines.
• Data Management: Oversee data collection, storage, and quality assurance.
• Machine Learning Models: Collaborate on AI algorithm development and model training.
• User Experience (UX): Advocate for intuitive and user-friendly AI product interfaces.
• Product Launch and Adoption: Plan and execute successful product launches.
• Performance Monitoring and Improvement: Track metrics and propose enhancements.
• Stakeholder Communication: Facilitate communication between technical and non-technical teams.
• Market and Industry Awareness: Stay informed on AI trends and regulatory requirements.

Requirements

• Education: Bachelor’s or master’s degree in computer science, engineering, data science, or related fields with 5+ years’ experience as a product manager and at least 2 years in AI domain.
• Technical Knowledge: Strong understanding of AI, machine learning, and data analysis.
• Product Management Experience: Previous experience in product management or related roles.
• AI Domain Expertise: Proficiency in AI applications and ethical considerations.
• Analytical and Problem-Solving Skills: Ability to analyse complex data and solve problems.
• Communication and Collaboration: Excellent interpersonal and communication skills.
• Leadership and Project Management: Strong leadership and project management abilities.
• User-Centric Mindset: Understanding of user needs and usability testing skills.
• Business Acumen: Knowledge of business principles and market dynamics.
• Adaptability and Learning Agility: Openness to new technologies and continuous learning.

• Act as a point of contact and build influential candidate relationships during the selection process.
• The candidate will be responsible to handle the entire cycle of recruitment and selection under the guidance of Head - HR inclusive of the following but not limiting to:.
• Source/ Screen candidates from job portals and other forums.
• Must have Good Communication Skills
• Freshers may apply

Responsibilities

• Managing small to medium teams with a focus on performance and talent retention
• Participate in creation and execution of product and technology roadmap with stakeholders.
• Collaborate with product managers and other leads/architects for building and delivering projects
• Ownership of front-end and back-end development work carried out with reusability, scalability, and testability of the projects
• Hire and mentor junior team members and coordinate their training
• Coordinate with external stakeholders for new integrations and tools
• Review and update policies relevant to internal systems and equipment and stay compliant with security regulations
• Monitor reliability and performance of all customer-facing and internal projects
• Manage software development projects by setting requirements, goals, and timelines

Requirements

• Work experience as an engineering manager or in a similar senior-level position at an engineering department
• Experience in the Fintech space
• Extensive experience with cloud technologies (AWS preferred) and server-side technologies (Java preferred)
• Hands-on experience in back-end and front-end development
• Good understanding of SDLC using agile methodologies (SCRUM / Kanban / SAFe)
• Leadership abilities with a strategic mind
• Excellent project management skills
• BSc/MSc in Engineering, Computer Science or relevant field

• Design and development of Verification IPs and models for ADAS and AV customers. 
• Understand the Customers’ verification pain points, translate them into technical terms, and propose new features for the product
• Work with the customers on adopting the product, training, helping them address issues

• Deploy verification solution  (composed of a product, language, and methodology) for customers
• Support installation, integrations, and assimilation of new versions, and/or SW packages at the Customers’ sites
• Develop Application Notes, Methodology documents as well as technical presentations