Pipes Jobs in Bengaluru

Talent Acquisition Partner Sales & Pre-Sales Location: Bangalore Job Category: Talent Acquisition Job Schedule: Full-Time Role Overview We are seeking an experienced Talent Acquisition Partner to manage high-volume and critical hiring for Sales and Pre-Sales Engineer roles. The ideal candidate is a proactive recruiter with deep knowledge of the competitive sales talent market, capable of building and managing a strong candidate pipeline from scratch within tight timelines. Key Responsibilities End-to-End Recruitment: Own the full lifecycle for Sales and Pre-Sales roles, including screening, coordination, and offer negotiation. Sourcing Strategy: Proactively source candidates through networking, referrals, events, and direct outreach. Stakeholder Partnership: Partner closely with hiring managers to provide pipeline insights, hiring recommendations, and regular updates. Candidate Experience: Ensure a professional and positive experience for all candidates throughout the process. Compliance: Maintain high standards of ATS documentation and process compliance. Required Skills & Experience Professional Background: 7 10 years of hands-on experience recruiting Sales and Pre-Sales Engineer talent. Stakeholder Management: Proven ability to influence hiring managers and manage expectations in fast-paced environments. Operational Excellence: High attention to detail with the ability to prioritize urgent business needs. Communication: Excellent verbal and written skills with a focus on diplomacy and professionalism. Tools: Proficient with Applicant Tracking Systems (ATS) and modern recruitment tools. Contract Details Duration: 6 months (extendable based on performance and business needs). Availability: Immediate or short notice preferred.

Recruiter / Senior Recruiter Job Category: Administrative / Support Employment Type: Full-Time Location: Bangalore Job Overview We are seeking a talented and results-driven Recruiter/Senior Recruiter to support our growing organization in sourcing and hiring top talent. The ideal candidate will have extensive experience in full-cycle recruitment, preferably in call center or healthcare settings, and excel in a fast-paced, high-volume environment. This role will be responsible for managing end-to-end hiring processes across multiple locations, ensuring a seamless candidate experience and building a strong talent pipeline. Key Responsibilities Review and analyze resumes using ATS software (UKG) and screen candidates for all open positions. Create and manage job requisitions, posting them on job portals and social media platforms (LinkedIn, Facebook, etc.). Source, schedule, and coordinate interviews with candidates and hiring managers daily. Develop accurate job descriptions in collaboration with Hiring Managers. Maintain Open Requisition Reports / MIS and provide weekly updates. Identify innovative sourcing tools and strategies to attract top talent. Build and maintain relationships with staffing agencies and headhunters to expand candidate reach. Conduct compensation discussions and prepare offer letters via UKG for candidate acceptance. Complete all new-hire paperwork and ensure a smooth onboarding experience. Continuously fill the talent pipeline even when there are no immediate open roles. Support employer branding initiatives internally and externally to enhance company presence. Education & Experience Minimum 4+ years of full-cycle recruitment experience. Master s degree in Human Resources. Proven experience in high-volume, fast-paced recruiting environments. Prior experience recruiting for call center or healthcare roles is highly desirable. Demonstrated ability to meet deadlines and work collaboratively in a team-oriented setting. Skills & Competencies Strong sourcing, screening, and candidate assessment abilities. Excellent communication, negotiation, and interpersonal skills. Proficiency in ATS tools, job portals, and social media recruiting. Ability to manage multiple requisitions and prioritize tasks effectively. High level of organization, attention to detail, and process adherence. Benefits Competitive industry compensation. Insurance coverage for self and parents/parents-in-law. Performance-linked bonus. Free office transport (pickup and drop). Free meal vouchers. Qualification : Masters degree in Human Resources

Lead Machine Learning Engineer - NLP Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. You will be shaping how AI transforms real-world challenges in the contact center space. As part of our world-class ML team, you ll work on developing cutting-edge LLM-powered solutions & Agentic AI, building end-to-end processing pipelines, and handling production challenges at scale millions of interactions daily. If you are truly an engineer at heart, excited about turning breakthroughs in multi-agent systems, LLMs, NLP, and ML into practical outcomes through applied research, and building scalable production systems, you will feel right at home. You ll also have the opportunity to publish in top conferences, and influence Observe.AI s product and platform strategy. What you ll be doing Design & develop state-of-the-art LLM-powered AI capabilities and Agentic AI/ Multi-agent systems end-to-end, from ideation to production for Observe.AI s product offerings, in a fast-paced startup environment. Work with cutting-edge tools and technologies in Machine Learning, Deep Learning & Natural Language Processing, including LLMs and LLM-powered technologies/ paradigms, including Agentic AI. Build/ maintain highly scalable production systems that power AI capabilities on Observe.AI product/ platform. Optimize ML models and processing pipelines for performance, cost-effectiveness, and scale. Work with a world-class ML team in building exciting stuff, mentor juniors, and influence peers/ stakeholders. Collaborate cross-team with engineers, product managers, customer-facing teams, and customers to understand pain points and business opportunities. Keep up-to-date with the latest ML/ DL/ NLP literature and influence the technological evolution of Observe.AI platform. Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc. What you ll bring to the role Education: Bachelor s or Master s degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU. An engineering mindset with the competencies of an applied scientist. 5+ years of industry experience in building large-scale NLP/ NLU systems, with recent experience in building LLM-powered applications and Agentic systems. Strong understanding of the fundamentals of ML and NLP/ NLU, and practical aspects of building ML systems in production. Good understanding of recent advances in building LLM-powered applications, and multi-agent systems at scale. Excellent implementation skills in Python and Machine Learning Frameworks such as Pytorch, Tensorflow, HuggingFace, etc., and deploying/ maintaining scalable machine learning systems in production. Ability to provide thought leadership in one or more technical areas of interest to Observe.AI, and influence product development. Excellent communication, collaboration skills, and presentation skills. Experience with Spoken Language Understanding is a plus. Published papers in top NLP/ NLU conferences or workshops are a plus. Relevant open-source contributions are a plus. Perks & Benefits Medical Insurance: Excellent options and free online doctor consultations. Leave Policies: Yearly privilege and sick leaves as per Karnataka S&E Act, generous holidays (National and Festive) recognition and parental leave policies. Learning & Development fund to support your continuous learning journey and professional development. Fun events to build culture across the organization. Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.). Qualification : Bachelors or Masters degree in Computer Science or related disciplines from a top-tier institution with exposure to ML/ DL/ NLP/ NLU

Software Development Engineer III Location: Bengaluru About Us: Observe.AI Observe.AI is a leading AI-powered platform revolutionizing customer experience. We enable enterprises to deploy AI agents that automate customer interactions, creating natural conversations and delivering predictable outcomes. Combining advanced speech understanding, workflow automation, and enterprise-grade governance, our platform empowers teams to guide and augment human agents with AI copilots, and analyze 100% of both human and AI interactions for insights, coaching, and quality management. Companies such as DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all communication channels. At Observe.AI, you will be building the backend that powers AI agents, transforming customer service for global enterprises. You'll work on high-scale, complex systems where your contributions have a direct and visible impact. In a culture that emphasizes speed, innovation, and ownership, this is your chance to sharpen your skills, drive forward innovation, and shape the future of AI-powered customer experiences. You will collaborate closely with product, design, and engineering leaders to define the technical roadmap and build solutions that matter. If you are looking for an environment where your ideas drive innovation, your expertise shapes the platform s future, and your growth is fueled by working with brilliant peers, Observe.AI is the place for you. What You ll Be Doing: AI Agent Development: Contribute to building and deploying AI agents (Voice Agents, Chat Agents, and Copilots) at enterprise scale for customer service. Full Application Lifecycle: Design, code, test, deploy, and debug applications with a high focus on quality throughout the entire lifecycle. Collaborative Roadmap Creation: Work with product and design teams to translate product goals into clear, actionable technical roadmaps. Reusable Code Development: Create reusable code, frameworks, and libraries to accelerate development, ensuring consistency across multiple projects. Optimization: Optimize applications for speed, scalability, and reliability, proactively addressing bottlenecks and performance issues. Security & Data Protection: Implement robust security measures and data protection practices to safeguard customer data and sensitive information. Scalable Data Storage: Design and manage scalable data storage solutions to ensure efficiency, reliability, and long-term maintainability. Efficient Data Pipelines: Build and scale data pipelines to process large volumes of data accurately and efficiently. Team Leadership: Review work of other team members, provide feedback, and lead by example across all aspects of the development lifecycle. Thought Leadership: Represent Observe.AI at tech conferences, demonstrating thought leadership and presenting solutions to complex challenges. What You ll Bring to the Role: 6-9 years of experience in building large-scale products with a strong track record of delivering high-quality solutions. Expertise in Python (with immediate proficiency), and familiarity with other high-level languages such as Java, Golang, or similar. Solid experience with SQL or NoSQL databases (e.g., Postgres, MongoDB, Cassandra). In-depth knowledge of asynchronous communication tools like Kafka, SQS, Temporal, etc. Understanding of popular caching tools such as Ehcache, Memcache, Redis. A customer-first mindset with the ability to adapt quickly in a fast-paced environment. Strong problem-solving skills and the ability to think and communicate from first principles. Open-mindedness to learning new technologies and staying current with industry trends. Perks & Benefits: Medical Insurance: Comprehensive medical coverage with free online doctor consultations. Leave Policies: Generous leave options, including privilege and sick leave as per Karnataka S&E Act, national and festive holidays, and parental leave. Learning & Development: A dedicated fund for continuous learning and professional development. Flexible Benefits: Tax-saving benefits (e.g., meal cards, PF, etc.) and flexible benefit plans. Team Culture: Regular fun events to promote collaboration and build company culture.

Associate Inside Sales Location: Bengaluru Employment Type: Full-Time About ClinChoice ClinChoice is a global leader in providing full-service clinical development and post-approval solutions to the world s top pharmaceutical, biotechnology, medical device, and consumer health companies. Since 1995, we ve partnered with innovators across the healthcare spectrum to accelerate clinical trials, ensure regulatory compliance, and advance patient safety. With operations spanning the U.S., U.K., Mexico, Armenia, China, Japan, India, and the Philippines, we deliver high-quality, data-driven solutions tailored to our clients unique needs. Position Summary We re seeking a motivated and detail-oriented Inside Sales Associate to join our growing team in Bengaluru. In this role, you will drive lead generation and business development initiatives by identifying new opportunities, reaching out to prospects, and supporting cross-functional collaboration to expand ClinChoice s footprint. Key Responsibilities Lead Generation & Outreach Research potential clients, including current and pipeline products, and identify key decision-makers. Initiate contact via targeted emails and cold calls to introduce ClinChoice s services and generate qualified leads. Consistently achieve monthly and quarterly goals for scheduling meetings with prospective clients. Maintain accurate records of all outreach activities, meetings, and follow-ups in the CRM system. Cross-Functional Collaboration Work closely with the Business Insights team to pinpoint opportunities and contribute to tailored marketing campaigns. Assist in distributing marketing assets to prospective clients and stakeholders. Market Intelligence & Learning Stay informed about ClinChoice s capabilities, offerings, and active projects. Build and maintain a robust knowledge base of client systems, industry trends, and market developments. Track changes in technology, operations, and regulatory landscapes to identify new sales opportunities. Additional Responsibilities Comply with all company policies, procedures, and data protection guidelines. Maintain strict confidentiality in all communications and documentation. Support broader organizational and departmental goals. Actively participate in training programs and ongoing learning initiatives. Candidate Profile Bachelor s degree in Commerce, Life Sciences, or a related field; MBA preferred. 0 2 years of relevant experience in sales, business development, or a similar role. Proficient in MS Office tools (Word, PowerPoint, Excel). Basic understanding of biostatistics is a plus. Strong analytical, communication, and interpersonal skills. Self-motivated, proactive, and able to work independently with a solution-oriented mindset. Be part of a globally recognized organization at the forefront of clinical innovation. Collaborate with cross-functional experts from around the world. Grow your career in a fast-paced, learning-oriented environment. Qualification : Bachelors degree in Commerce, Life Sciences, or a related field; MBA preferred

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

Data Engineering Lead Bengaluru | Engineering | Full-Time About Fam (formerly FamPay) Fam is India s first payments app designed for everyone aged 11 and above. FamApp enables seamless online and offline payments through UPI and FamCard. Our mission is to empower over **250 million young Indians** to start their financial journey early, becoming financially aware and confident. Founded in 2019 by IIT Roorkee alumni, Fam is backed by top-tier investors including Elevation Capital, Y-Combinator, Peak XV (Sequoia Capital India), Venture Highway, and angels like Kunal Shah and Amrish Rao. About the Role We re looking for a visionary **Data Engineering Lead** to take **end-to-end ownership** of Fam s data ecosystem from data ingestion and storage to processing and delivering actionable insights. You ll **define the data strategy and architecture** that supports both batch and **real-time** use cases, ensuring scalability, reliability, and governance across the organization. You will be instrumental in enabling accurate, complete, and trusted data flow that powers business intelligence, analytics, and product decision-making. This role involves **leadership, strategic thinking**, and hands-on problem solving. What You ll Do Own the full data lifecycle: ingestion, organization, storage, processing, and presentation. Define and execute **data architecture and strategy** aligned with operational and analytical goals. Build **scalable, reliable, and observable data systems** supporting batch and near real-time processing. Ensure **data quality, governance, and compliance**, proactively resolving discrepancies. Collaborate with product, engineering, and business teams to define, track, and optimize key metrics. Anticipate data-related challenges and implement preventive solutions. Lead, mentor, and grow the data engineering team, fostering innovation and accountability. Must-Haves 10+ years experience in data engineering, including proven leadership of teams or projects. Expertise designing, building, and scaling end-to-end data pipelines and systems. Deep understanding of the data lifecycle, from ingestion through business reporting. Strong communication skills and ability to collaborate across technical and business teams. Solid knowledge of **data governance, quality assurance, and compliance standards**. Experience with observability and proactive monitoring for data systems. Proficiency in Python and SQL; familiarity with Scala or Java. Hands-on experience with streaming and batch data frameworks. Experience designing large-scale data lakes and warehouses with best practices for schema evolution and partitioning. Strong background with **cloud platforms (AWS, GCP, or Azure)**. Fintech or regulated industry experience is a plus. Good to Have Fintech-specific data experience, including regulatory compliance and reporting. Deployment experience with **real-time analytics** and event-driven architectures. Familiarity with containerization and infrastructure tools like Docker, Kubernetes, Terraform. Knowledge of data observability tools (Monte Carlo, Databand, etc.). Exposure to **ML pipelines** and model deployment. Solve challenging problems at the intersection of big data, real-time processing, and fintech. Lead impactful data initiatives at a rapidly growing startup. Collaborate with a world-class team of engineers, data scientists, and product leaders. Competitive compensation, equity, and benefits. Clear career growth opportunities in leadership and innovation. Perks That Go Beyond the Paycheck Relocation assistance for a smooth move. Free office meals (lunch & dinner). Generous leave policies (birthday, period, parental support, and more). Salary advances and loan policies for financial support. Quarterly rewards, recognition, and referral incentives. Access to the latest gadgets and tools. Comprehensive health insurance with mental health support. Tax benefits like food coupons, phone allowances, and leasing options. Retirement benefits including PF contribution, leave encashment, and gratuity. About FamApp FamApp focuses on financial inclusion for the next generation by offering UPI and card payments to users aged 11+. Our flagship product, FamX, integrates UPI and card payments seamlessly, helping users manage, save, and learn about their finances effortlessly. With over **10 million users**, FamApp is revolutionizing how young Indians transact eliminating the need to carry cash and offering customizable FamX cards with personal doodles for a fun, unique payment experience. Join Our Dynamic Team At Fam, we foster a people-first culture with flexible work schedules, generous leave, comprehensive health benefits, and mental health support. You ll be part of a passionate, talented, and fun team shaping the future of fintech for India s youth.

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Enterprise Sales Manager Location: Bengaluru Type: Full-Time About Intugine Every product you use from your favorite snack to complex electronic gadgets takes a complex journey across the global supply chain. Yet, many leading brands still struggle with visibility, efficiency, and control across this journey. At Intugine, we solve these challenges with our cutting-edge supply chain visibility platform. Our multimodal solution (land, air, sea, rail) empowers over 75 global enterprises including GE Healthcare, Flipkart, Titan, Mahindra Logistics, and Ultratech Cement to streamline operations, reduce logistics costs, and improve on-time deliveries. As a proud partner of India s National Logistics Policy, we also leverage deep integrations with systems like FASTag, Port Community System, and FOIS to deliver unmatched intelligence and transparency. Role Overview As an **Enterprise Sales Manager**, you ll be at the forefront of driving Intugine s growth. You ll own the complete sales cycle from identifying prospects and designing tailored solutions to closing deals with high-value enterprise clients. We're looking for a strategic, consultative seller with a strong understanding of B2B SaaS and supply chain dynamics. Key Responsibilities Target & Qualify Prospects: Identify high-potential sectors and decision-makers across enterprise accounts. Solution Selling: Deeply understand client operations to design and present custom-fit solutions. Pipeline Management: Use CRM tools to manage opportunities, forecast accurately, and maintain pipeline hygiene. Collaborate Cross-Functionally: Work with marketing, product, and customer success to align go-to-market efforts. Negotiate & Close Deals: Engage stakeholders across levels to successfully close high-impact deals. Relationship Building: Build and nurture long-term relationships with CXOs and key influencers. Deliver on Targets: Consistently meet and exceed revenue goals across regions and customer segments. Market Intelligence: Stay ahead of trends to better position our solutions in a competitive landscape. Requirements Proven experience closing complex enterprise deals, ideally in a SaaS or logistics tech environment. 1+ years in B2B sales with a strong understanding of supply chain operations. Structured sales approach with exceptional communication and consultative selling skills. Comfortable working in a fast-paced, high-growth startup environment. Highly self-motivated, with a relentless focus on results and relationship building. At Intugine, we don t just offer a job we offer growth, ownership, and the opportunity to shape the future of supply chain technology. Perks include: Employee Stock Options Be a part-owner in our journey Comprehensive Health Coverage Personal Development Budget & Education Assistance Flexible Working Hours & Work Autonomy Generous Parental Leave Open-Door Culture & Equal Pay Policy Paid Time Off & Company Outings Life Skills Training From tax saving to wellness

Sales Development Representative (SDR) Location: Bengaluru Type: Full-Time About Intugine That journey from sourcing to delivery involves a complex global supply chain. Yet many brands struggle with limited visibility, delays, and inefficiencies. Intugine is changing that. We re a leading supply chain visibility platform helping global enterprises like GE Healthcare, Flipkart, Titan, Diageo, and Ultratech Cement gain real-time, multimodal insights across land, air, sea, and rail logistics. Backed by integrations with systems like FASTag, Port Community System, and FOIS, and in partnership with the National Logistics Policy, we provide unmatched visibility and intelligence to optimize delivery times, reduce logistics costs, and drive operational excellence. About the Role: Sales Development Representative We re expanding our Business Development team and looking for Sales Development Representatives (SDRs) who can spark conversations, build relationships, and open doors to new business opportunities. As an SDR, you'll be the first point of contact in outbound prospecting playing a vital role in fueling our sales pipeline. If you're a sharp communicator with a knack for research, hustle, and hustle (yes, we said it twice), this is your launchpad into high-impact enterprise SaaS sales. What You'll Be Doing Research & Prospecting: Identify key accounts and decision-makers within target industries. Outreach: Initiate contact through email, LinkedIn, and cold calls to create interest and qualify leads. Database Management: Maintain and expand a clean, accurate CRM database of prospects. Lead Qualification: Understand prospect needs and align them with Intugine s solutions before handing off to Account Executives. Meeting Booking: Drive pipeline growth by scheduling sales-qualified meetings. Hit Your Targets: Meet or exceed KPIs for outreach, meetings set, and qualified opportunities. Tool Optimization: Experiment with sales enablement tools and tactics to improve outreach effectiveness. Who We re Looking For 1+ years of experience in lead generation or customer-facing roles Experience in SaaS, IoT, or Supply Chain/Logistics is a strong advantage Excellent written and verbal communication skills Quick learner, self-starter, and result-driven mindset Fluent in English and Hindi Familiarity with sales tools (HubSpot or similar CRM, LinkedIn, contact extraction tools) Comfortable making high-volume outbound calls Ability to connect with both decision-makers and end users What Makes You a Great Fit You're energized by challenges and love the thrill of opening new conversations. You're organized, persistent, and can handle rejection with grace. You take initiative, constantly look to improve your game, and celebrate every win big or small. At Intugine, we're building a workplace that s ambitious, supportive, and a little bit quirky (in a good way). You ll be surrounded by driven teammates who enjoy solving real-world problems and having fun while doing it. Perks and Benefits: Employee Stock Options Own a part of what you build Comprehensive Health Cover Because health comes first Personal Development Budget Learn, grow, and thrive Flexible Working Hours Work when you're most productive Generous Parental Leave Family matters Equal Pay Policy Transparent and fair, always Education Assistance We support your learning journey Autonomy & Ownership Take charge of your role Life Skills Training From tax planning to wellness Company Outings & Paid Time Off Unplug and recharge

Sales Engineer Location: Bangalore Department: Sales Role Summary Fracktal Works is seeking a dynamic and results-driven Sales Engineer to join our team in Bangalore. This role will focus on promoting and selling our cutting-edge 3D printing solutions across the Indian market. The ideal candidate will blend technical expertise with strong sales acumen to support pre-sales efforts, execute sales strategies, and drive revenue growth. This position requires a proactive approach to lead generation, customer engagement, and sales execution using modern sales tools and data-driven decision-making. Key Responsibilities Pre-Sales Activities Market Research: Identify potential customers and analyze their industries and challenges using data insights to tailor outreach and engagement. Product Demonstrations: Conduct engaging product demos that effectively showcase how Fracktal Works solutions meet customer needs and add value. Value Proposition Development: Craft personalized value propositions based on each customer s requirements and pain points. Lead Generation: Initiate contact with prospects via email, phone, and other channels to build a robust pipeline of qualified leads. Sales Execution Deal Negotiation: Lead pricing and terms negotiations to close sales successfully. Contract Management: Oversee the preparation and finalization of contracts with clients. Relationship Management: Cultivate long-term relationships with clients, acting as a trusted advisor throughout the customer journey. Sales Reporting: Maintain accurate sales records, generate regular reports, and analyze key performance metrics to identify improvement opportunities. Application Engineering 3D Model Design: Assist customers in designing and optimizing 3D models for printing. Technology Selection: Recommend suitable 3D printing technologies and materials for specific applications. Testing & Evaluation: Conduct print tests and assess results to ensure quality and functionality. Industry Awareness: Stay informed on the latest developments in 3D printing technologies, materials, and trends. Required Skills & Qualifications Bachelor s degree in Engineering, Business, Marketing, or a related field. 2+ years of experience in sales, preferably within the tech or software industry. Solid understanding of the Indian market landscape. Strong verbal and written communication skills. Ability to build trust and maintain strong, long-term customer relationships. Skilled in negotiation, persuasion, and closing deals. Proficient in CRM platforms and other modern sales tools. Comfortable with data analysis to guide sales strategies and decisions. At Fracktal Works, you ll be part of a growing company at the forefront of additive manufacturing in India. You ll have the opportunity to work with cutting-edge technologies, engage with forward-thinking clients, and contribute to innovations that shape the future of manufacturing. Qualification : Bachelors degree in Engineering, Business, Marketing, or a related field

MEP Engineer Location: Bengaluru Qualification: B.Tech (Mechanical / Electrical) Experience: 6+ years Job Description We are looking for a skilled and detail-oriented MEP Engineer to oversee the Mechanical, Electrical, and Plumbing systems for our construction and infrastructure projects. The ideal candidate should have hands-on experience in MEP design coordination, execution, and site supervision, ensuring quality, safety, and compliance with project specifications. Key Responsibilities Plan, review, and manage the execution of MEP works (HVAC, electrical, plumbing, fire-fighting, etc.) at project sites. Coordinate with architects, structural engineers, consultants, and contractors to ensure seamless integration of MEP services. Review technical drawings, specifications, and BOQs for accuracy and alignment with project requirements. Monitor MEP installation activities to ensure compliance with design, quality, and safety standards. Conduct regular site inspections and testing of MEP systems. Identify and resolve any on-site technical issues related to MEP services. Assist in procurement of MEP materials and ensure timely delivery. Support project managers in preparing progress reports and documentation. Required Skills & Experience B.Tech in Mechanical or Electrical Engineering. Minimum 6 years of experience in MEP coordination and execution in construction or infrastructure projects. Good understanding of HVAC, electrical systems, water supply, drainage, and fire safety systems. Proficient in reading technical drawings and using AutoCAD or related software. Strong problem-solving, coordination, and communication skills. Knowledge of applicable building codes and safety regulations. Qualification : B.Tech in Mechanical or Electrical Engineering

Position: DevOps Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are looking for a skilled DevOps Engineer-2 to design, implement, and maintain secure, scalable, and highly available infrastructure. You will play a key role in automating infrastructure provisioning, capacity planning, and building robust monitoring and CI/CD pipelines. Responsibilities: Design and implement secure, scalable infrastructure solutions. Automate infrastructure provisioning, demand forecasting, and capacity planning. Develop automation tools and frameworks to enhance system observability, availability, reliability, performance, and latency monitoring. Monitor system health, application performance, security controls, and cost optimization. Participate in sustainable incident response, peer reviews, and blameless postmortems. Lead the adoption and rollout of best DevOps tools and automation practices across services. Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Required Skills and Experience: Minimum 3 years of experience in DevOps and cloud technologies. Expertise in at least one major cloud platform: AWS, Azure, or GCP. Strong production experience with Kubernetes, including deployment, management, and troubleshooting. Proven ability to design scalable and resilient infrastructure architectures. Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation. Strong debugging and troubleshooting skills. Deep knowledge of Linux servers and networking fundamentals. Hands-on experience with scripting or programming languages like Python, Shell, Go, or Java. Familiarity with monitoring and observability tools such as DataDog, NewRelic, ELK stack, Prometheus, or Grafana. Understanding of modern cloud-native development practices including microservices architecture and RESTful APIs. Ability to thrive in a fast-paced, dynamic work environment.

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Job Title: Senior Executive Business Development Location: Bangalore Department: Business Development / B2B Sales Experience: 6 to 12 years Education: MBA (Marketing) Key Role Drive business growth by identifying new opportunities, building client relationships, and expanding the company s market presence in B2B segments. Responsibilities Identify and develop new business opportunities to achieve sales targets and revenue growth. Build and maintain strong relationships with existing and potential clients. Conduct market research and competitor analysis to identify trends and opportunities. Prepare and deliver compelling presentations, proposals, and negotiations with clients. Collaborate with internal teams such as marketing, product development, and operations to ensure customer satisfaction and successful project delivery. Monitor sales pipeline and report progress to senior management. Represent the company at industry events, trade shows, and networking forums. Qualifications MBA in Marketing or related field. 6 to 12 years of experience in business development or B2B sales. Proven track record of achieving sales targets and driving business growth. Strong communication, negotiation, and interpersonal skills. Ability to work independently and as part of a team in a fast-paced environment. Proficient in CRM software and MS Office suite. Qualification : MBA in Marketing or related field

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Senior/General Manager Corporate Development Location: Bangalore Department: Zetwerk Corporate About Zetwerk Zetwerk is the world s largest global manufacturing network for custom manufacturing, transforming digital designs into high-quality physical products. From simple steel pipes to complex aerospace components, we serve a broad range of industries from traditional sectors like Oil & Gas, Infrastructure, and Aerospace to modern ones such as Renewables, EVs, and Consumer Electronics. Through a network of 1,000+ manufacturing partners, Zetwerk offers advanced capabilities like CNC machining, 3D printing, plastic injection molding, and die casting supported by our proprietary Manufacturing Operating System (ZISO) that delivers real-time tracking, quality assurance, and end-to-end transparency. Why Join Zetwerk We are transforming the future of manufacturing with technology at our core. At Zetwerk, you ll work with ambitious, innovative teams and industry leaders, helping shape how the world builds. We offer you the platform to grow your career, make a tangible impact, and thrive in a collaborative, inclusive culture. Role Overview We are looking for a strategic and driven Senior/General Manager Corporate Development to join our high-performing team. You will lead initiatives that drive Zetwerk s long-term growth ranging from M&A evaluation to partnership development, international expansion, and IPO preparedness. This is a high-impact role with direct visibility to leadership and the opportunity to help shape Zetwerk s future. Key Responsibilities Mergers & Acquisitions (M&A): Identify and evaluate acquisition opportunities aligned with Zetwerk s strategic goals Conduct in-depth market research, financial modeling (DCF, comparables, ROI), and scenario analysis Lead due diligence across legal, financial, tax, and operational domains Create investment memos and board-level presentations Corporate Strategy & Development: Monitor industry trends and competitive landscapes to propose new strategic initiatives Assess expansion into adjacent markets (geographic or technological) Support post-deal integration, performance tracking, and synergy realization Collaborate with cross-functional teams and external stakeholders on deal structuring IPO & Strategic Finance Support: Drive IPO readiness initiatives including internal process improvement, governance, and documentation Assist with investor communications, benchmarking, and capital markets analysis Coordinate with finance, legal, and compliance teams to ensure audit and disclosure readiness Experience: 6 14 years in Corporate Development, M&A, Investment Banking, Private Equity, or related roles Education: MBA with CA/CFA/Engineering background preferred (flexible for exceptional candidates) Skills: Advanced financial modeling and valuation expertise Strong analytical, communication, and presentation skills Ability to lead multiple high-impact projects simultaneously Understanding of regulatory and compliance frameworks What Zetwerk Offers A high-growth environment with unparalleled learning and leadership opportunities A culture that values innovation, ownership, and collaboration Career advancement in a rapidly growing company redefining manufacturing Competitive compensation and performance-linked rewards A chance to be part of a once-in-a-lifetime journey building a world-class business Shape the future of global manufacturing with Zetwerk. Apply now and be part of the revolution. Qualification : MBA with CA, CFA, or Engineering preferred

Job Title: Lead Billing & Planning Location: Bangalore Domain: Railways About Zetwerk Zetwerk is the world s largest custom manufacturing network, transforming digital designs into physical products. We serve a wide spectrum of industries from steel pipes and aircraft engine components to apparel and consumer electronics through thousands of manufacturing partners offering capabilities such as metal fabrication, CNC machining, plastic injection molding, 3D printing, and aluminum die castings. Our technology-driven approach ensures faster production, competitive pricing, and world-class quality with end-to-end transparency. We are redefining manufacturing and need game changers to lead this transformation. At Zetwerk, we offer you a dynamic environment to grow your career, innovate collaboratively, and make a real impact. We invest in our people so they can deliver the best for our customers and for themselves. Roles & Responsibilities Develop detailed plans and schedules for all project deliveries, coordinating multi-disciplinary teams to ensure productivity and progress tracking. Prepare requirement documents, meeting minutes, and management presentations; conduct regular target appraisals. Create variance reports, including Schedule Variance and Cost Variance using Earned Value Management (EVM), to analyze project deviations. Monitor critical path activities in project schedules and advise project management on potential risks and mitigation. Ensure timely and accurate billing with complete supporting documentation. Prepare and submit monthly sales and collection plans. Maintain cost compliance within budget and strive to improve profit margins. Job Requirements Minimum 5 years of hands-on experience in project planning, scheduling, budgeting, and cost control. Proficiency in project management software tools such as Primavera P6 and Microsoft Project. Educational Qualification: B.E./B.Tech or Diploma in Civil Engineering. Strong knowledge of project tracking and control techniques, particularly Earned Value Management (EVM). Excellent organizational, analytical, and problem-solving skills. Effective communication and coordination abilities to collaborate across cross-functional teams. Qualification : B.E./B.Tech or Diploma in Civil Engineering.