Company Description eizen.ai is revolutionizing how businesses leverage computer vision and video analytics. We provide enterprise-grade AI agents that see, think, and act—enabling companies to build and deploy powerful computer vision applications without coding expertise. Our platform transforms operations across manufacturing, retail, healthcare, and education through intelligent visual inspection systems, real-time analytics, and interactive AI guidance. From achieving 99.8% accuracy in defect detection to 5x faster throughput in manufacturing, our solutions deliver measurable business impact. Founded: 2022 | Headquarters: Hyderabad, India | Stage: Early-stage, High-growth AI Startup Role: Human Resources Manager Employment Type: Full-Time, On-Site Location: Hyderabad, India Department: People & Culture Reports To: Founder / Chief Operating Officer The Opportunity We're seeking a strategic and hands-on Human Resources Manager to build and scale our people operations as we grow from a startup into a market leader. This is a foundational role where you'll shape company culture, implement scalable HR systems, and directly impact our team's success in one of the most exciting spaces in technology—Artificial Intelligence. You'll be the first dedicated HR leader, working closely with founders and department heads to attract top AI/ML talent, develop people-first policies, and create an environment where innovation thrives. Key Responsibilities Talent Acquisition & Workforce Planning (40%) Own end-to-end recruitment for technical roles (ML Engineers, Computer Vision Specialists, Data Scientists) and business functions Build employer branding strategies to position eizen.ai as an employer of choice in the AI/tech ecosystem Develop sourcing strategies using LinkedIn, AngelList, tech communities, and university partnerships Conduct structured interviews and assessment processes to ensure culture and skill fit Create and execute campus hiring programs for AI/ML talent from premier institutions Manage relationships with recruitment agencies and outsourcing partners HR Strategy & Policy Development (25%) Design and implement comprehensive HR policies, employee handbook, and compliance frameworks Develop compensation structures, benefits packages, and equity/ESOP programs competitive in the AI startup ecosystem Create performance management systems including OKRs, 360-degree feedback, and career progression frameworks Establish employee engagement programs, retention strategies, and exit management processes Ensure compliance with Indian labor laws (Shops & Establishments Act, PF, ESI, Gratuity, etc.) Build diversity, equity, and inclusion (DEI) initiatives Employee Relations & Culture Building (20%) Serve as trusted advisor and point of contact for employee concerns, conflicts, and grievances Design onboarding experiences that accelerate new hire productivity and cultural integration Foster a high-performance, innovation-driven culture aligned with company values Organize team-building activities, town halls, and employee recognition programs Conduct stay and exit interviews to gather insights and improve employee experience Manage workplace safety and employee wellness programs HR Operations & Administration (15%) Maintain accurate HRIS (Human Resources Information System) and employee records Administer payroll coordination, attendance tracking, and leave management Manage employee benefits administration (health insurance, provident fund, etc.) Prepare HR metrics, dashboards, and reports for leadership (attrition rates, time-to-hire, diversity metrics, etc.) Coordinate with finance and legal teams on HR-related compliance and audits Oversee vendor management for HR services (background verification, insurance brokers, etc.) Learning & Development (10%) Identify skill gaps and design training programs for technical and soft skills development Create leadership development programs for emerging managers Facilitate workshops on AI ethics, communication, and collaboration Build career development pathways and succession planning frameworks Partner with external training providers and online learning platforms Required Qualifications Education: Bachelor's degree in Human Resources, Business Administration, Psychology, or related field Experience: 5-8 years of progressive HR experience, with at least 2-3 years in a generalist or HR manager role Startup Experience: Proven experience in high-growth startups or early-stage companies (pre-seed to Series A) Tech Recruitment: Strong track record of hiring technical talent (engineers, data scientists, product managers) HR Expertise: Deep knowledge of full-cycle HR operations including recruitment, onboarding, performance management, and compliance Legal Compliance: Thorough understanding of Indian labor laws and statutory compliance requirements Systems Proficiency: Experience with HRIS platforms (Zoho People, Darwinbox, Keka, or similar) and ATS tools Communication Skills: Excellent written and verbal communication skills in English; proficiency in Hindi/Telugu is a plus Preferred Qualifications Master's degree in HR, MBA in HR, or HR certification (SHRM-CP, PHR, or equivalent) AI/Tech Industry Experience: Prior experience in AI, SaaS, deep-tech, or computer vision companies Compensation Expertise: Experience designing equity compensation plans and ESOP structures Data-Driven Mindset: Ability to leverage HR analytics and metrics to drive decision-making DEI Initiatives: Demonstrated experience building diversity and inclusion programs Remote/Hybrid Models: Experience managing distributed teams or hybrid work policies Employer Branding: Success building employer brand through LinkedIn, Glassdoor, and tech communities Conflict Resolution: Certification or training in mediation, negotiation, or employee relations Key Competencies & Skills Technical Skills: HR policies and procedures development Performance management systems (OKRs, KPIs) Compensation & benefits design Recruitment and talent acquisition HRIS and ATS platforms HR analytics and reporting Labor law compliance Soft Skills: Strategic thinking with execution excellence Empathy and emotional intelligence Stakeholder management and influencing skills Problem-solving and decision-making Confidentiality and discretion Adaptability in fast-paced environments Cultural sensitivity and inclusive leadership Why Join eizen.ai? ✨ Be a Founding Member of the People team at a cutting-edge AI company ✨ Shape Culture from the ground up during our highest growth phase ✨ Work with Brilliant Minds in computer vision, deep learning, and AI research ✨ Industry Impact: Our technology is transforming manufacturing, healthcare, and retail globally ✨ Fast-Paced Growth: Opportunity to scale HR operations as we grow from 50 to 200+ employees ✨ Innovation-First Environment: Work where AI isn't just what we build—it's how we work
Role: Technical Program Manager (MBA Fresher Welcome!) Employment Type: Full-Time, On-Site Location: Hyderabad, India Department: Product & Operations Reports To: CTO / VP of Product Experience Level: 0-2 years (MBA Freshers strongly encouraged to apply!) Career Track: Associate TPM → TPM → Senior TPM → Director of Programs The Opportunity This is a rare ground-floor opportunity for ambitious MBA graduates to launch their careers in tech program management at a cutting-edge AI startup. You'll be the bridge between engineering, product, and business—ensuring our AI products are delivered on time, within scope, and exceed customer expectations. Why this role is perfect for MBA freshers: 🎓 Learn Fast: Steep learning curve in AI/ML product development 🚀 High Impact: Own programs that directly affect company growth 💼 Startup Experience: Wear multiple hats and develop diverse skills 📈 Career Acceleration: Fast-track to senior leadership roles 🧠 Technical + Business: Perfect blend of strategy and execution 🌟 Mentorship: Work directly with founders and senior leaders You'll be our first dedicated TPM - a chance to build processes, define standards, and shape how we deliver products to Fortune 500 clients. What You'll Do Product Delivery & Execution (40%) Own the End-to-End Delivery: Lead cross-functional programs from concept to launch for AI-powered features Create detailed project plans with clear milestones, timelines, and resource allocation Coordinate between ML engineers, backend developers, frontend teams, and designers Track progress using project management tools (Jira, Asana, Monday.com, or Notion) Ensure product releases meet quality standards and customer requirements Manage product roadmap execution and prioritize feature development Drive Agile Execution: Facilitate daily stand-ups, sprint planning, and retrospectives Remove blockers that slow down engineering teams Maintain sprint velocity and burn-down charts Ensure alignment between technical execution and business objectives Manage scope creep and change requests effectively Stakeholder Management & Communication (25%) Be the Communication Hub: Conduct weekly status meetings with leadership and provide executive updates Translate technical concepts for non-technical stakeholders (sales, marketing, clients) Manage client expectations and communicate delivery timelines Prepare presentations and reports for internal and external stakeholders Coordinate with sales and customer success teams for product demos and onboarding Build Relationships: Work closely with Product Managers to understand feature requirements Partner with Engineering Leads to understand technical constraints and trade-offs Collaborate with QA teams to ensure comprehensive testing Interface with Marketing for product launches and positioning Engage with customers to gather feedback and understand pain points Program Planning & Strategy (20%) Think Ahead: Develop program charters, scope documents, and success metrics Conduct risk assessments and create mitigation strategies Plan resource allocation and identify skill gaps Define KPIs and success criteria for each program (OKRs, SMART goals) Create contingency plans for potential delays or technical challenges Process Optimization: Document and improve product development workflows Identify bottlenecks in the delivery pipeline and propose solutions Standardize project documentation and communication templates Implement best practices from agile, scrum, and lean methodologies Build scalable processes as the team grows from 30 to 100+ Technical Understanding & Coordination (15%) Bridge Technical and Business: Understand the basics of our AI/ML technology stack (don't worry, we'll teach you!) Learn about computer vision, video processing, and model deployment Participate in technical architecture discussions (high-level understanding) Grasp API integrations, cloud infrastructure, and software development lifecycles Communicate technical trade-offs to business stakeholders Coordinate technical dependencies across multiple teams You don't need to code , but you should be curious about technology and willing to learn technical concepts. Metrics, Reporting & Analytics (10%) Data-Driven Decision Making: Track and report on key program metrics (on-time delivery rate, scope adherence, velocity) Create dashboards for program health monitoring Analyze sprint retrospectives and identify improvement areas Measure customer satisfaction and product adoption metrics Prepare monthly/quarterly business reviews for leadership Use data to forecast delivery timelines and resource needs Customer Success & Post-Launch Support (10%) Ensure Successful Adoption: Coordinate product launches with customer success teams Monitor post-launch performance and gather user feedback Manage bug triage and prioritization post-release Track customer onboarding and implementation timelines Work with support teams to resolve critical customer issues Document lessons learned and best practices Who You Are - Ideal Candidate Profile ✅ Required Qualifications Education: MBA from Tier 1/2 institutions (IIM, ISB, FMS, XLRI, NMIMS, SP Jain, or equivalent) Specialization in Operations, IT Management, Product Management, or General Management Bachelor's degree in Engineering (preferred) or any discipline with strong analytical background Freshers welcome! 0-2 years of experience Core Competencies: Exceptional organizational skills - You can juggle multiple priorities without dropping balls Strong communication - You can explain complex ideas simply to diverse audiences Analytical thinking - You love data, metrics, and structured problem-solving Startup mindset - You thrive in ambiguity, move fast, and don't wait for perfect information Team player - You collaborate effectively and build trust across functions Detail-oriented - Nothing slips through the cracks on your watch Technical Aptitude: Basic understanding of software development lifecycle (SDLC) Familiarity with tech concepts like APIs, databases, cloud computing (we'll train you further!) Comfortable learning new tools and technologies quickly Proficiency in MS Office / Google Workspace (Excel, PowerPoint, Docs) Exposure to project management tools is a plus (Jira, Trello, Asana) Soft Skills: Leadership potential - Even as a fresher, you inspire confidence and can influence without authority Problem-solving - You don't just report problems; you bring solutions Adaptability - Startup priorities shift; you pivot gracefully Ownership mentality - You treat company goals as your own Resilience - You stay calm under pressure and meet aggressive deadlines Curiosity - You ask "why" and "how" to understand deeply 🌟 Preferred Qualifications (Nice to Have) Engineering background (B.Tech/B.E.) - easier to grasp technical concepts Summer internship experience in product management, consulting, or tech operations MBA projects related to product development, operations, or technology Familiarity with Agile/Scrum methodologies from coursework or internships Exposure to AI/ML concepts through electives or personal interest Campus leadership roles (clubs, committees, competitions) Prior startup internship or entrepreneurial experience Tech certifications like Scrum Master (CSM), Product Owner (CSPO), or Google Project Management Basic knowledge of Python, SQL, or data analysis (not mandatory, but helpful) Case competition experience (demonstrates structured thinking) Why This Role is Perfect for MBA Freshers 🎓 Accelerated Learning Curve You'll Learn: ✅ How AI products are built and deployed at scale ✅ Managing technical teams and delivery processes ✅ Strategic thinking and execution balance ✅ Stakeholder management with C-suite executives ✅ Customer-facing skills and client relationship management ✅ Startup operations and business model dynamics Within 6 months: Lead your first major product release Present to the board on program status Manage cross-functional teams of 10+ people Understand AI/ML technology stack at a working level Within 12 months: Own 2-3 major programs simultaneously Influence product roadmap decisions Mentor junior team members Be considered for promotion to full TPM 🚀 Career Growth Trajectory Month 1-3: Onboarding & Foundation Shadow senior leaders and learn our technology Manage small projects and features Build relationships across teams Master our tools and processes Month 4-6: Growing Responsibility Lead medium-sized features end-to-end Drive sprint planning and execution Present updates to leadership Start owning customer interactions Month 7-12: Full Ownership Own major product releases independently Manage complex, multi-team programs Contribute to strategic planning Consider paths: Senior TPM, Product Manager, or Operations Lead Year 2: Leadership Promotion to TPM (shedding "Associate" tag) Manage other program managers Shape company-wide processes Potential to specialize: Product, Operations, or Strategy 💡 Unique Startup Advantages What Big Companies Can't Offer: 🎯 Direct Founder Access - Learn from entrepreneurs daily 🎯 Ownership - Your decisions shape company direction 🎯 Visibility - Everyone knows your contributions 🎯 Diverse Experience - Wear multiple hats, learn broadly 🎯 Speed - See your work go live in weeks, not years 🎯 Equity - Share in company success through ESOPs 🎯 Impact - Your programs directly affect revenue and growth Please fill up the application: https://forms.office.com/r/y9JFDDEZqX
Improved Job Description: Python Developer (Backend AI/ML Systems) About eizen.ai At eizen.ai, we're revolutionizing how businesses leverage video intelligence and computer vision. Our enterprise-grade AI platform enables companies to build and deploy powerful visual intelligence applications without coding expertise—transforming operations across manufacturing, retail, healthcare, education, and more. Our cutting-edge platform delivers: 99.8% accuracy in automated defect detection 5x faster throughput in manufacturing quality control Real-time video analytics with AI-powered insights No-code deployment of computer vision models We're processing millions of video frames daily, powering intelligent visual inspection systems, real-time anomaly detection, and interactive AI agents that see, think, and act. Founded: 2022 | Headquarters: Hyderabad, India | Stage: High-Growth AI Startup Role: Python Developer (Backend AI/ML Systems) Employment Type: Full-Time, On-Site Location: Hyderabad, India Department: Engineering Reports To: Engineering Manager / CTO Experience Level: 2-6 years The Opportunity We're seeking talented Python Developers to build the backbone of our AI-powered video intelligence platform. You'll architect and develop high-performance backend systems that process real-time video streams, deploy computer vision models at scale, and deliver actionable insights to enterprise clients. This is your chance to work on cutting-edge AI/ML infrastructure, build systems that process terabytes of video data, and see your code power intelligent automation across industries worldwide. What makes this role exciting: 🚀 Build scalable backend systems for real-time video processing 🧠 Work directly with ML engineers deploying computer vision models ⚡ Optimize performance for sub-second response times on video analytics 🌍 Impact Fortune 500 companies and transform how they operate 🔧 Own features end-to-end from design to production Key Responsibilities Backend Development (50%) Design, develop, and maintain scalable Python-based backend services and RESTful APIs Build microservices architecture for video processing, model inference, and data pipelines Develop asynchronous task processing systems using Celery, RabbitMQ, or Kafka Implement WebSocket connections for real-time video streaming and analytics Create efficient data processing pipelines for handling large-scale video datasets Write clean, maintainable, well-documented code following best practices Optimize API response times and system throughput for high-performance requirements AI/ML Integration (25%) Collaborate with ML engineers to deploy computer vision models (YOLO, ResNet, custom CNNs) into production Build inference pipelines that integrate TensorFlow, PyTorch, and OpenCV models Develop video preprocessing and post-processing modules for AI workflows Implement model serving infrastructure using TensorFlow Serving, TorchServe, or ONNX Runtime Create annotation tools and data labeling systems for training AI models Build feedback loops for continuous model improvement based on production data Database & Storage Management (15%) Design and optimize database schemas for PostgreSQL, MongoDB, or similar systems Implement efficient data storage strategies for video metadata and analytics results Work with cloud storage (AWS S3, Azure Blob, GCP Storage) for video asset management Build caching layers using Redis or Memcached for performance optimization Ensure data consistency, integrity, and security across distributed systems Optimize complex database queries and implement indexing strategies DevOps & Infrastructure (10%) Deploy and manage applications using Docker containers and Kubernetes orchestration Implement CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins Monitor system performance using tools like Prometheus, Grafana, or New Relic Collaborate on cloud infrastructure management (AWS, GCP, or Azure) Ensure system reliability, scalability, and uptime through robust architecture Participate in on-call rotation for production support Collaboration & Code Quality (10%) Participate in code reviews to maintain code quality and share knowledge Write comprehensive unit tests, integration tests, and documentation Work closely with frontend developers, ML engineers, and product managers Contribute to technical architecture decisions and system design discussions Mentor junior developers and contribute to team growth Stay updated with latest Python ecosystem, AI/ML tools, and best practices Required Qualifications Technical Skills ✅ Python Expertise: 2-6 years of hands-on Python development experience ✅ Backend Frameworks: Strong proficiency in FastAPI , Django , or Flask ✅ API Development: Experience building and documenting RESTful APIs ✅ Databases: Working knowledge of SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) ✅ Object-Oriented Programming: Strong OOP concepts and design patterns ✅ Version Control: Proficient with Git and collaborative development workflows ✅ Data Structures & Algorithms: Solid understanding of core CS fundamentals ✅ Linux/Unix: Comfortable working in Linux environments Core Competencies ✅ Strong problem-solving and analytical thinking abilities ✅ Ability to write clean, efficient, and maintainable code ✅ Experience with software development lifecycle and agile methodologies ✅ Excellent debugging and troubleshooting skills ✅ Strong communication skills and ability to work in cross-functional teams ✅ Self-motivated with ability to work independently and take ownership Education ✅ Bachelor's degree in Computer Science, Software Engineering, or related technical field ✅ Equivalent practical experience will be considered Preferred Qualifications 🌟 AI/ML Experience: Exposure to TensorFlow, PyTorch, scikit-learn, or computer vision libraries (OpenCV, Pillow) 🌟 Video Processing: Experience with FFmpeg, GStreamer, or video codec optimization 🌟 Real-Time Systems: Knowledge of WebRTC, video streaming protocols (RTSP, HLS, DASH) 🌟 Async Programming: Proficiency with async/await, asyncio, and concurrent programming 🌟 Message Queues: Experience with RabbitMQ, Kafka, or AWS SQS 🌟 Containerization: Hands-on experience with Docker and Kubernetes 🌟 Cloud Platforms: AWS (EC2, Lambda, S3), GCP, or Azure experience 🌟 Performance Optimization: Experience profiling and optimizing Python applications 🌟 Testing: Strong unit testing practices with pytest, unittest, or similar frameworks 🌟 API Documentation: Experience with Swagger/OpenAPI, Postman 🌟 Startup Experience: Previous experience in fast-paced startup environments 🌟 Open Source: Contributions to open-source Python projects Our Technology Stack Backend: Python 3.9+ FastAPI / Django REST Framework Celery for async task processing WebSocket for real-time communication AI/ML: TensorFlow / PyTorch OpenCV for computer vision YOLO, ResNet, Custom CNNs ONNX Runtime for model serving Databases & Storage: PostgreSQL (primary database) MongoDB (document storage) Redis (caching layer) AWS S3 / Azure Blob (video storage) Infrastructure: Docker & Kubernetes AWS / GCP / Azure GitHub Actions (CI/CD) Nginx / Gunicorn Tools & Monitoring: Git & GitHub Prometheus & Grafana Sentry for error tracking Postman / Swagger Levels & Experience We're hiring at multiple levels: Python Developer (Mid-Level) Experience: 2-4 years Focus: Feature development, API design, database optimization Skills: Strong Python, frameworks, databases, API development Senior Python Developer Experience: 4-6+ years Focus: System architecture, mentorship, technical leadership Skills: All of above + system design, performance optimization, team leadership Interview Process Application Review (2-3 days) Phone Screening (30 mins) - HR and basic technical discussion Technical Assessment (90 mins) - Coding challenge or take-home assignment Technical Interview (60 mins) - System design and problem-solving with engineers Culture Fit (30 mins) - Discussion with team lead or founder Offer - Typically within 1 week of final interview Timeline: 7-10 business days from application to offer How to Apply Ready to build the future of video intelligence? Send us: Resume/CV highlighting relevant Python and backend experience GitHub Profile (if available) showcasing your code Cover Letter (optional) explaining: Your most challenging Python project Why you're excited about AI and computer vision What you're looking to learn and build at eizen.ai Apply via: https://forms.office.com/r/y9JFDDEZqX Apply📧 Email: careers@eizen.ai (Subject: "Python Developer - [Your Name]") 💼 LinkedIn: [Company LinkedIn Page] 🌐 Website: eizen.ai/careers Portfolio Bonus: Share links to personal projects, open-source contributions, or technical blog posts! Why Join eizen.ai? 🎯 Mission-Driven: Transform industries through AI-powered visual intelligence 🚀 Early-Stage Impact: Join a growing team (30-50 employees) where your contributions matter 🧠 Learn from the Best: Work alongside PhDs and experts in computer vision and deep learning 💡 Innovation Culture: Hackathons, research days, and freedom to experiment 📈 Growth Trajectory: Be part of the journey from startup to industry leader 🌏 Real-World Impact: Your code will process millions of video frames daily for global enterprises 🏆 Recognition: Meritocracy-based culture with clear growth paths and rewards