Role Overview: The Marketing Manager will be responsible for developing and executing data driven marketing strategies to increase brand awareness, acquire new customers, and drive user engagement for our SaaS product. This role is open to both experienced candidates and freshers who have a strong grasp of designing, digital marketing, and brand building.Key Responsibilities: Create and implement marketing strategies to enhance brand visibility and customer engagement.Design and manage marketing materials, including social media graphics, ads, and landing pages.Oversee digital marketing campaigns across platforms like Google Ads, LinkedIn Ads, SEO, and email marketing.Develop and execute content marketing plans, including blog posts, case studies, videos, and social media content.Conduct competitor research and market analysis to refine marketing approaches.Collaborate with sales and product teams to create compelling marketing content.Track marketing performance metrics and optimize strategies for better ROI.Desired Candidate Profile: Bachelors degree in Business, Marketing, Media, or related fields (BMS/BBA/BMM preferred).For freshers: Strong proficiency in designing tools like Canva, Adobe Photoshop, Illustrator, or Figma.For experienced candidates: 1-2 years of experience in digital marketing, SEO, and website management.Good understanding of SEO principles and website management (WordPress preferred).Excellent written and verbal communication skills.Strong analytical skills to assess marketing performance.Reasons to Join Us: Young Environment: Join a vibrant and innovative work culture where creativity and collaboration thrive.Work Life Balance: Enjoy a Monday to Friday work schedule with a supportive and flexible work environment.Opportunity to Grow: Access ample opportunities for professional development and career advancement.

Roles & Responsibilities: Prospecting & Lead Generation-Research and identify potential B2B clients who can benefit from our SaaS product.Utilize LinkedIn, email campaigns, and outbound calls to connect with decision-makers.Maintain and update an organized lead database for outreach tracking. Cold Outreach & Engagement-Initiate conversations with key stakeholders (CXOs, finance heads, and senior managers).Craft personalized pitches and messaging to generate interest in our SaaS product.Handle objections confidently and build rapport with potential clients. Lead Qualification & DiscoveryConduct initial discovery calls to understand customer needs and challenges.Qualify leads based on their business pain points and potential fit for our solution.Schedule product demos for the sales team and ensure a smooth handover of qualified leads. Pipeline Management & Follow-UpsTrack and nurture leads through consistent follow-ups via email, calls, and LinkedIn.Work closely with the sales team to push prospects down the sales funnel.Maintain detailed records of conversations, meetings, and progress in CRM tools. Collaboration & Continuous ImprovementWork with the marketing team to improve messaging and lead quality.Stay updated on industry trends, competitor strategies, and customer challenges.Participate in regular sales meetings, brainstorming sessions, and training. What Were Looking For:Strong communication & interpersonal skills (English proficiency is a must)Eagerness to learn and build a career in SaaS salesAbility to handle rejection and keep pushing forwardSelf-motivated, target-driven, and results-orientedGood research skills to identify potential customersKnowledge of LinkedIn & Email Outreach is a plus(Freshers are welcome! If you have the right attitude and willingness to learn, we will train you.)

About the RoleWe are looking for a Data Analyst who can analyze and process financial data. The ideal candidate should have strong logic-building capabilities and good communication skills to collaborate effectively.As part of the Data Analysis Team, your responsibilities will include: 1. Data Analysis & Automation: Analyze multiple datasets to identify logic, correlations, and patterns. Perform in-depth financial data analysis and automate reconciliation using our software. 2. Data Processing & Transformation: Write logic to clean, transform, and enrich data. Develop logic to join datasets and perform complex calculations. Identify and classify correct and incorrect scenarios within data. 3. Data Quality Assurance: Ensure data accuracy, validate inconsistencies, and rectify errors. Collaborate with the development team to enhance data integrity and reliability. 4. Financial Reconciliation & Reporting: Create financial reconciliation models to improve data accuracy. Generate reports and MIS to support business decision-making. 5. Client Support & Collaboration: Act as the primary contact for client inquiries related to data analysis and reconciliation. Understand client requirements and provide expert guidance on reconciliation solutions. 6. Continuous Learning & Development: Stay updated on industry trends, best practices, and emerging technologies. Enhance skills through training and contribute to team knowledge sharing. Requirements: Strong logic-building and problem-solving skills. Knowledge of at least one programming language (Python, Java, C++, R, etc.). Familiarity with SQL is advantageous. Ability to test and validate logic before implementation. A collaborative mindset with the ability to work effectively in cross-functional teams. Strong communication skills. The ability to convey technical concepts clearly and effectively to various stakeholders, including clients, team members, and management. Willingness to learn new tools and adapt to evolving business needs.