Job Description : AI Product Manager (1Data) Location : Delhi (near Okhla NSIC Metro station) Product Overview 1Data is a revolutionary platform transforming electronics supply chain intelligence through advanced analytics, pricing intelligence, compliance tracking, and risk management. Our technology integrates global data sources, AI-driven insights, and seamless enterprise connectivity to empower businesses with unparalleled clarity, agility, and decision-making capabilities. Position Overview As the Product Manager at 1Data, you will lead the vision, strategy, and execution of our AI-driven products and features, addressing complex global supply chain challenges. Collaborating closely with engineering, data science, design, customers and business teams, you will champion innovative AI solutions, leveraging machine learning and large language models (LLMs) to deliver exceptional value to customers. Your work will significantly influence product direction and company growth. Key Responsibilities Define, articulate, and continuously evolve the product vision and roadmap, aligning closely with 1Datas strategic goals. Conduct extensive market research and competitive analysis specific to AI-driven analytics and supply chain intelligence. Translate sophisticated AI capabilities and customer needs into clear, actionable product requirements, user stories, and acceptance criteria. Collaborate with data science and engineering teams to develop, validate, and launch cutting-edge AI models and solutions. Lead customer discovery, validate AI-driven concepts, and incorporate user feedback to ensure the highest product impact and customer satisfaction. Measure, track, and analyze product performance metrics, using data-driven insights to optimize and enhance AI-driven features. Champion agile product management methodologies to accelerate product delivery cycles and foster innovation. Key Qualifications Bachelors degree in Computer Science/ Electronics, Engineering, Business, or related fields; Masters degree or MBA preferred. 6+ years of product management experience, specifically with AI-driven platforms, SaaS, or advanced analytics products. Demonstrated experience launching and scaling AI-powered products with measurable commercial impact. Deep understanding of AI/ML frameworks, large language models (LLMs), big data technologies, and cloud infrastructures. Strong analytical abilities, proficiency with analytics tools, and experience in data-driven decision-making. Exceptional leadership, communication, and cross-functional collaboration skills. Familiarity with enterprise integrations (ERP, SAP, Oracle) and understanding of supply chain management processes highly desirable. Preferred Competencies Strategic AI Leadership : Proven ability to conceptualize and implement advanced AI solutions strategically aligned with business objectives. Customer-Centric Innovation : Strong aptitude for deeply understanding customer challenges and crafting AI solutions that deliver exceptional value. Data and AI Proficiency : Expertise in AI/ML methodologies, advanced analytics, and big data management. Agile Product Delivery : Demonstrated success in leading agile teams to rapidly deliver impactful AI features. Technical Communication : Adept at bridging complex technical and business concepts, particularly around AI and data science topics. Why Join 1Buy.ai? Innovate at the intersection of AI and electronics procurement, reshaping global supply chains. Join an award-winning team recognized for industry-leading innovation. Contribute directly to solutions that impact global electronics manufacturing businesses. Enjoy robust opportunities for career growth and professional development within a dynamic, collaborative environment. (ref:hirist.tech) Show more Show less
Location : Work from Office (Okhla Phase III, Okhla Industrial Estate, New Delhi - 110020) About Us 1buy.ai is an innovative procurement and pricing intelligence platform specialized in the electronics industry, leveraging cutting-edge technology to streamline and optimize component sourcing. We are seeking a Data Engineer to join our dynamic tech team. You'll play a critical role in managing, transforming, and delivering data-driven insights to empower our platform and decision-making. Key Responsibilities Develop and optimize complex SQL queries for data extraction and analytics. Build and maintain robust ETL/ELT pipelines for data ingestion and transformation. Collaborate closely with stakeholders to support data visualization initiatives. Ensure data accuracy, integrity, and availability across various databases (MongoDB, PostgreSQL, Clickhouse). Monitor, maintain, and enhance data solutions leveraging Grafana dashboards. Continuously improve data processes and efficiency, aligning with business and industry needs. Required Skills 3+ years of experience and proficiency in writing and optimizing complex SQL queries. Strong expertise in ETL/ELT processes and data pipeline frameworks. Familiarity With Data Visualization tools and frameworks (Grafana). Databases : MongoDB (NoSQL), PostgreSQL. Electronics industry and component types. Optional Skills AWS cloud services for deploying data solutions Python scripting and automation. Data warehousing databases (Clickhouse). Workflow orchestration tools (Apache Airflow). What We Offer A collaborative and innovative environment. Opportunities for professional growth within a high-growth startup. Exposure to industry-leading data technologies and best practices. (ref:hirist.tech) Show more Show less
Position : Data Engineer (1Data Platform) Location : Delhi Type : Full-time, Onsite, Individual Contributor Objective Data powers price-intelligence, BOM optimisation, and excess-inventory trades for the Global electronics supply chain. Your mission is to safeguard the truthfulness and business relevance of every dataset we provide; spotting hidden anomalies, reconciling multi-source price feeds, and ensuring each metric we publish can be trusted by procurement, finance, and compliance teams of our customers. Key Responsibilities End-to-End Data Validation : Trace each data item, from customs records and supplier catalogues through ELT transforms to the customer dashboard, verifying completeness, accuracy, timeliness, and lineage. Define acceptance criteria and golden datasets for complex calculations such as landed-cost, tariff duty, lifecycle risk scores, and alternate-part price floors. Domain-Focused Test Design & Execution Draft and execute detailed test plans that reflect real-world supply-chain scenarios : non-standard UOM shipments, multi-currency quotes, EOL announcements, QC failures, compliance flags, etc. Challenge business rules like, import-value thresholds, MOQ rounding, tariff/ tax treatments, by creating boundary and negative test cases. Exploratory Data Analysis Use SQL, Mongo queries and ClickHouse queries to profile data distributions, identify outliers, and reconcile divergent prices across regions (IN, SEA, CN, US, EU, etc). Produce investigative reports for anomalies (spikes, missing batches, unit-of-measure mismatches) and drive root-cause resolution with Data Eng and Product Delivery teams. Quality Governance & Stakeholder Alignment Maintain a living Data-Quality Specification that maps every metric to source tables, transformation logic, and business meaning. Conduct UAT sessions with supply-chain analysts and sourcing managers; capture feedback, raise defects, and sign off releases. Own data-quality SLAs and report status in weekly engineering reviews. Process Improvement Where automation adds clear value, introduce light-weight scripted checks (Great Expectations, custom SQL assertions) and embed them in CI. Mentor developers on writing testable SQL/ELT models and documenting edge cases. Must-Have Qualifications 4+ years in data-centric QA, business-analysis, or data-engineering roles with a heavy validation component. Deep domain knowledge of electronic components, MPN nomenclature, tariff/HS codes, landed-cost structures, lifecycle statuses (Active, NRND, EOL), supply chain risks and commodity compliances. Strong SQL/ NoSQL skills for ad-hoc investigation and reconciliation across MongoDB or PostgreSQL or ClickHouse; comfort with queries, joins, etc. Practical experience validating multi-source price feeds, currency conversions, and time-series data. Demonstrated ability to translate business rules into precise test cases and to communicate findings clearly to both engineers and non-technical stakeholders. Meticulous attention to detail and an instinct for questioning numbers that look right but feel wrong. Nice-to-Have Familiarity with Great Expectations for declarative data testing. Exposure to supply-chain or ERP data (SAP, Oracle, QAD) and EDI/CSV ingestion quirks. Basic scripting in Python for one-off data probes and small automation hooks. ISTQB (Advanced) or equivalent certification focused on data quality. (ref:hirist.tech)