About Us We are a fast-growing tech company specializing in SaaS-based solutions and CRM platforms designed to streamline business operations and drive growth. Our team thrives on innovation, accountability, and results. We’re looking for a highly motivated and experienced Sales Manager or Sales Executive to join our team and lead our customer acquisition efforts. Key Responsibilities Identify, qualify, and close new sales opportunities for our SaaS and CRM products. Manage the full sales cycle from lead generation to closing and post-sale support coordination. Develop and execute strategic sales plans to achieve revenue targets. Conduct product demos, presentations, and client meetings (virtual or in-person). Build strong relationships with key decision-makers across various industries. Maintain CRM systems with accurate sales pipeline data and client communications. Collaborate with marketing, product, and customer success teams for better alignment and customer experience. Provide feedback to internal teams based on client interactions to improve product and service delivery. Requirements Proven experience (2–5+ years) in B2B SaaS or CRM product sales. Excellent verbal and written communication skills in English. Deep understanding of the SaaS business model and customer lifecycle. Ability to explain technical products in simple, business-focused terms. Strong negotiation, closing, and presentation skills. Experience with CRM tools (HubSpot, Salesforce, Zoho, or similar). Self-starter with a target-driven mindset and ability to work independently. Bachelor’s degree in Business, Marketing, IT, or related field preferred. Preferred Qualifications (Good to Have) Experience in selling to SMEs, startups, or enterprise clients. Familiarity with outbound sales strategies (cold calling, email outreach, etc.). Understanding of basic technical architecture of SaaS platforms. What We Offer Attractive base salary with performance-based incentives Flexible working hours and remote work options Opportunity to work with a passionate, dynamic team Fast-track career growth based on performance Continuous learning & development opportunities Show more Show less

Experience: 5+ years in high-volume ESP integrations & deliverability optimization Tech Stack: Laravel 10/11 • Node.js 18+ (Bun) • SendGrid (Mail & Marketing APIs) • Redis • MySQL 8 • Docker • GitHub Actions • OSS queues (Bee-Queue, BullMQ-OSS, Taskless, etc.) About the Role We are aiming to develop a Bulk Email Marketing module that must land emails in the inbox—not the spam folder. You will design and operate queue‑driven batch sends and—most critically—engineer deliverability safeguards to keep spam rates below 0.1 % across millions of sends. You’ll also migrate our current Node/BullMQ service to an open‑source queue and integrate everything seamlessly into our Laravel-based CRM. All front‑end work is handled by a separate team; your focus is pure back‑end infrastructure. Key Responsibilities Architect & build the bulk‑send workflow: throttling, retries, parallel batch pipelines and dedicated IP management. Implement robust deliverability controls: Automated SPF, DKIM, DMARC, BIMI & ARC checks on every sender domain. List‑hygiene pruning, bounce/complaint feedback loops, and reputation scoring. Pre‑send spam‑filter diagnostics (SpamAssassin rules, seed‑list placement tests). Migrate our existing Node micro‑service from BullMQ’s paid batch feature to an OSS queue without regressions. Expose clean REST APIs for the front‑end team to consume (campaign creation, scheduling, analytics). Handle bounce reports, unsubscribe management, and analytics integration. Ensure proper authentication, template rendering, scheduling, and delivery tracking. Ensure module security, scalability, and performance. Write tests/docs, perform code reviews and mentor teammates on email infrastructure best practices. Required Skills & Experience Expert‑level SendGrid integration (Marketing & Transactional) with proven record raising inbox placement. Proven knowledge of other mail ESP platforms like (SES, Postmark etc). Deep knowledge of deliverability levers: SPF, DKIM, DMARC, BIMI, IP warm‑up, feedback loops, spam‑trap avoidance, content quality scoring. Production experience with Node.js/Bun workers and Redis‑backed queues at 100 k+ emails/hour (Bee‑Queue, BullMQ‑OSS, Taskless, or Redis streams). Strong Laravel background (queues/Horizon, events, policies) to integrate micro‑services with the core CRM. Proficient with Docker‑based deployments and CI/CD pipelines using GitHub Actions. Ability to write clear documentation and conduct rigorous code reviews. Nice to Have Implemented seed‑list/inbox‑placement monitoring tools (GlockApps, Mail‑Tester, Google Postmaster). Experience migrating from paid BullMQ features to Bee‑Queue, Taskless, or custom Redis streams. Familiarity with other ESPs (AWS SES, Postmark) for future multi‑ESP abstraction. Observability with OpenTelemetry traces across micro‑services. Knowledge of Prometheus/Grafana dashboards. Show more Show less

About Us We are a fast-growing tech company specializing in SaaS-based solutions and CRM platforms designed to streamline business operations and drive growth. Our team thrives on innovation, accountability, and results. We’re looking for a highly motivated and experienced Sales Manager or Sales Executive to join our team and lead our customer acquisition efforts. Key Responsibilities Identify, qualify, and close new sales opportunities for our SaaS and CRM products. Manage the full sales cycle from lead generation to closing and post-sale support coordination. Develop and execute strategic sales plans to achieve revenue targets. Conduct product demos, presentations, and client meetings (virtual or in-person). Build strong relationships with key decision-makers across various industries. Maintain CRM systems with accurate sales pipeline data and client communications. Collaborate with marketing, product, and customer success teams for better alignment and customer experience. Provide feedback to internal teams based on client interactions to improve product and service delivery. Requirements Proven experience (2–5+ years) in B2B SaaS or CRM product sales. Excellent verbal and written communication skills in English. Deep understanding of the SaaS business model and customer lifecycle. Ability to explain technical products in simple, business-focused terms. Strong negotiation, closing, and presentation skills. Experience with CRM tools (HubSpot, Salesforce, Zoho, or similar). Self-starter with a target-driven mindset and ability to work independently. Bachelor’s degree in Business, Marketing, IT, or related field preferred. Preferred Qualifications (Good to Have) Experience in selling to SMEs, startups, or enterprise clients. Familiarity with outbound sales strategies (cold calling, email outreach, etc.). Understanding of basic technical architecture of SaaS platforms. What We Offer:  Attractive base salary with performance-based incentives Flexible working hours and remote work options Opportunity to work with a passionate, dynamic team Fast-track career growth based on performance Continuous learning & development opportunities Show more Show less

We are looking for a talented AI Developer to join our team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with a passion for developing innovative AI solutions that solve complex problems. As an AI Developer, you will work closely with cross-functional teams to design, implement, and deploy AI models and algorithms that enhance our products and services. Key Responsibilities: AI Model Development: Design, develop, and deploy AI models and algorithms, including machine learning, deep learning, and natural language processing (NLP) models. Data Processing: Collect, clean, and preprocess data for training and testing AI models. Algorithm Optimization: Optimize and fine-tune models for performance, accuracy, and scalability. Integration: Integrate AI solutions into existing systems and applications. Research: Stay up-to-date with the latest AI research and technologies, and apply them to solve real-world problems. Collaboration: Work with data scientists, engineers, product managers, and other stakeholders to understand requirements and deliver AI solutions that meet business needs. Documentation: Document the AI models, processes, and methodologies used in the development lifecycle. Testing and Validation: Implement and conduct rigorous testing and validation of AI models to ensure their robustness and reliability. Maintenance: Monitor and maintain deployed AI models, ensuring they continue to perform as expected over time. Required Skills and Qualifications: Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Experience: Proven experience in developing and deploying AI models and algorithms. Programming: Proficiency in programming languages such as Python, R, Java, or C++. Libraries and Frameworks: Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn, and others. Data Handling: Strong understanding of data structures, data modeling, and data processing techniques. Mathematics: Solid foundation in mathematics, including statistics, linear algebra, and calculus. Problem-Solving: Excellent analytical and problem-solving skills, with the ability to think critically and creatively. Communication: Strong written and verbal communication skills, with the ability to explain complex AI concepts to non-technical stakeholders. Teamwork: Ability to work effectively in a collaborative team environment. Preferred Skills and Qualifications: Experience with Cloud Platforms: Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for deploying AI models. Big Data Technologies: Experience with big data technologies such as Hadoop, Spark, or Apache Flink. NLP and Computer Vision: Experience in developing NLP and computer vision applications. Version Control: Proficiency with version control systems like Git. DevOps: Understanding of DevOps practices for continuous integration and deployment (CI/CD) of AI models. Industry Knowledge: Experience in applying AI in specific industries such as healthcare, finance, retail, or manufacturing. Show more Show less