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Technical Project Manager JD
Client communication for requirement gathering and during project development
Good on wireframing and project scoping
Handling team of developer and coordinating with team and client
Help in pre-sales for making some initial documentation
Vast experience in development using technology such as PHP, Node, Django, React, Angular etc.
Good experience as team lead.
Great english communication and fluent communication experience
Technically strong, strong in Analytical Skills, Strong problem-solving capabilities
Server Knowledge and strong in GIT, GITLAB, SVN Knowledge
Sprint planning and scrum management
Experience making documentation like technical documents of project
Helping developers came out of terms
Strong R & D Skills, scrum
Strong database knowledge of MYSQL, PostgreSql, MongoDB
Strong Expertise making scalable applications
Knowledge of different software architecture and where to use which architecture etc. also design patterns.
Job Title: Manager - Buying Menswear (Apparel Retail Brand)
Location: Gurgaon
Experience: 5-8 year in menswear buying in apparel retail brand
Salary: 14-20 LPA
Industry: Fashion/Retail
Qualification: Any Graduate/Postgraduate in Fashion management
Technical Skills Required: OTB Planning, Sell Thru, Range Planning
Key Deliverables (Essential functions & Responsibilities of the Job):
· To formulate a detailed plan on the products to be offered each quarter.
· Range presentation to sign off the BU plan with Buying and Merchandising Head
· Booking quantities of products to meet launch and respond to in season variables
· Generating analysis to be able to support buying decisions
· Reacting to sales Information and working with suppliers to revise production flows and maximize sales.
· Agreeing and reviewing targets for sales, margin, stock, commitment and availability.
· Assisting operating plan review and lessons learnt
· Completing catalogue intentions and IRP
· Managing the plans for all markdown periods
· Agreeing the range production plan with the manager and monitoring with suppliers
· Working with the supplier for the prompt input of flows to ensure alignment between production and commitment
· Production plans to manage MSI capacity
· Provide information to retail team to allow them to provide layout plans to stores
· Providing input into price point strategy for ranges
· Maintaining awareness of competition product offer
· Planning, optimizing and reviewing the catalogue by shape of the chain.
· implementing and exploiting new systems and process
Key Requirement:
· Local product development to address local requirements, gaps in the offer and margin opportunity
· Flow and phasing planning
· Product bought to plan
· Product delivered to critical path
· Managing the catalogue plan
· Plan to develop shorter lead time product in season
· Develop value fashion for tier 2 markets
· Work with VM and Marketing deliver and highlight the look.
· Maximize product opportunity in peak selling e.g. gifting in
Mail upated resume with salary details:
Email: etalenthire[at]gmail[dot]com
Satish: 88O 27 49 743
Website: www.glansolutions.com
Google search: Glan Management Consultancy
About the Role
We’re looking for a Data Engineer who can turn messy, unstructured information into clean, usable insights. You’ll be building crawlers, integrating APIs, and setting up data flows that power our analytics and AI layers. If you love data plumbing as much as data puzzles — this role is for you.
Responsibilities
- Build and maintain Python-based data pipelines, crawlers, and integrations with 3rd-party APIs.
Perform brute-force analytics and exploratory data work on crawled datasets to surface trends and anomalies.
- Develop and maintain ETL workflows — from raw ingestion to clean, structured outputs.
- Collaborate with product and ML teams to make data discoverable, queryable, and actionable.
- Optimize data collection for performance, reliability, and scalability.
Requirements
- Strong proficiency in Python and Jupyter notebooks.
- Experience building web crawlers / scrapers and integrating with REST / GraphQL APIs.
- Solid understanding of data structures and algorithms (DSA).
- Comfort with quick, hands-on analytics — slicing and validating data directly.
Good to Have
- Experience with schema design and database modeling.
- Exposure to both SQL and NoSQL databases; familiarity with vector databases is a plus.
- Knowledge of data orchestration tools (Dagster preferred).
- Understanding of data lifecycle management — from raw to enriched layers.
Why Join Us
We’re not offering employment — we’re offering ownership.
If you’re here for a job, this isn’t your place.
We’re building the data spine of a new-age supply chain intelligence platform — and we need people who can crush constraints, move fast, and make impossible things work.
You’ll have room to think, build, break, and reinvent — not follow.
If you thrive in chaos and create clarity, you’ll fit right in.
Screening Challenge
Before we schedule a call, we have an exciting challenge for you. Please go through the link below and submit your solution to us with the Subject line: SUB: [Role] [Full Name]
Job Title: Node.js / AI Engineer
Department: Technology
Location: Remote
Company: Mercer Talent Enterprise
Company Overview:Mercer Talent Enterprise is a leading provider of talent management solutions, dedicated to helping organizations optimize their workforce. We foster a collaborative and innovative work environment where our team members can thrive and contribute to our mission of enhancing talent strategies for our clients.
Position Overview:We are looking for a skilled Node.js / AI Engineer to join our Lighthouse Tech Team. This role is focused on application development, where you will be responsible for designing, developing, and deploying intelligent, AI-powered applications. You will leverage your expertise in Node.js and modern AI technologies to build sophisticated systems that feature Large Language Models (LLMs), AI Agents, and Retrieval-Augmented Generation (RAG) pipelines.
Key Responsibilities:
- Develop and maintain robust and scalable backend services and APIs using Node.js.
- Design, build, and integrate AI-powered features into our core applications.
- Implement and optimize Retrieval-Augmented Generation (RAG) systems to ensure accurate and context-aware responses.
- Develop and orchestrate autonomous AI agents to automate complex tasks and workflows.
- Work with third-party LLM APIs (like OpenAI, Anthropic, etc.) and open-source models, fine-tuning and adapting them for specific use cases.
- Collaborate with product managers and developers to define application requirements and deliver high-quality, AI-driven solutions.
- Ensure the performance, quality, and responsiveness of AI-powered applications.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of professional experience in backend application development with a strong focus on Node.js.
- 2+ years of hands-on experience in AI-related development, including building applications that integrate with Large Language Models (LLMs).
- Demonstrable experience developing AI agents and implementing RAG patterns.
- Familiarity with AI/ML frameworks and libraries relevant to application development (e.g., LangChain, LlamaIndex).
- Experience with vector databases (e.g., Pinecone, Chroma, Weaviate) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
Benefits:
- Competitive salary and performance-based bonuses.
- Professional development opportunities.
• Analyze complex data sets to identify trends, patterns, and insights to drive business decisions.
• Collaborate with cross-functional teams in an Agile environment to define and implement data-driven solutions.
• Create and maintain detailed reports and dashboards to track key performance indicators (KPIs).
• Work closely with product owners, developers, and stakeholders to ensure data requirements are met effectively.
• Utilize Jira for task management, sprint planning, and tracking project progress.
• Provide guidance and mentorship to junior team members in data analysis techniques and best practices.
Responsible for performing full-cycle recruiting functions including but not limited to job understanding, candidate sourcing, social networking, phone screening, email communication, documentation, summary writing and presentation.
Identifying right candidates with the right skills to match the US clients’ requirements Regularly interacting with Account Manager to understand the requirements
Should understand the requirement in depth to ensure quality sourcing and recruiting
Should ensure to revert submit profiles with quick turnaround time for timely submissions to meet sharp deadlines for each requisition
Make use of effective resourcing strategies, such as head hunting, Internet sourcing, networking, employee referrals
Must have experience on full Life Cycle of Recruiting (screening resumes, interviewing, offer extension and post-placement care)
Ability to work as a good team player, Maintaining & building the candidate database
Requirements:
Minimum 2 Years of Full Cycle Recruiting experience particularly in pharmaceutical /scientific/life science domain for US staffing and recruiting industry.
Excellent English language skills including reading, writing and speaking.
Ability to communicate fluently with foreign nationals.
Self-motivated, passionate and energetic professionals.
Comfortable to work in night shift (6.30PM to 3.30AM IST)

- Managing the entire spectrum of finance including Financial Planning and Analysis,
- Accounting, Treasury, Taxation, Capex, OPEX, AP, AR, partner reconciliations etc.
- Lead annual budgeting; monthly re-forecasting and ad-hoc based reporting.
- Support business from a financial viewpoint including profitability analysis, margin profiling and other financial analytics needs
- Successfully partnering with the business and streamline/automate the finance process
- Manage all taxation and compliance activities.
- Prepare investor metrics and participate in building investor presentations.
- Manage internal and external auditors & responsible for handling of audit of the financial statements
- Responsible for implementation of accounting and reporting changes as per latest financial standards
Ideal Candidate:
- Chartered Accountant with 5-8 years of experience
- You should be ideally coming from an e-Commerce/digital economy background or should have worked within e-commerce/digital economy for a substantial part of your overall experience
- Team handling experience
- You should possess influential communication, interpersonal and negotiation skills
- You should have an experience of ensuring deliverables under short deadlines.
- Good working knowledge of Indian accounting standards and Indian taxation, statutory and management reporting is critical to this position.
- You should have the drive to deliver above and beyond the call of duty and must possess a solution oriented and ambitious attitude.
- Strong Business and commercial acumen
- Analytical and problems Solving
𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐲𝐨𝐮 𝐞𝐱𝐩𝐞𝐜𝐭?
You will be part of the founding team at LDU and will be responsible for the end-to-end technology of the company including:
- Formulate long-term technology & product strategy along with implementation roadmap, while envisioning the tech-stack required to scale the business 100X
- Architecting and engineering solutions across the entire technology stack including front-end, back-end, infrastructure, architecture, server-side engineering, UI, etc. in line with the company's strategy.
- Plan and collaborate with the other teams including marketing/ growth, customer success/ sales, design, operations, etc. to implement new product features, growth hacks/ initiatives identified through user interviews/ insights, etc in a timely manner.
- Build processes/mechanisms to track the KPIs across product/ technology and ensure religious execution of the targets
- Build and lead the technology team including the engineering team, product team, Quality Assurance, etc.
- Awesome work-culture (flexible work timings; no need to wear formals; awesome snacks to name a few)
𝐖𝐡𝐚𝐭 𝐚𝐫𝐞 𝐰𝐞 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫?
We are looking to onboard a Senior Software Engineer, who has a founder's mindset including the following traits:
- Experience of full stack development across web & mobile based technologies and should have scaled a business
- Ability to build scalable products/ platforms, fully redundant fault-tolerant infrastructure while working on modern technologies.
- Stronghold in both front-end & back-end development/ algorithms with experience of building agile, highly scalable, data-driven platforms from scratch
- Ability to be hands-on with coding across big data, mobile apps, AI & ML, analytics, DevOps, business intelligent solutions, etc. apart from strategically guiding/ mentoring the team
- Ability to manage end-to-end delivery of large-scale initiatives from concept, scope, planning, estimation, project management, and deployment.
- Stronghold in executing stuff on the ground and hustle around to “Get things done”
- Ability to think and see the big picture while focusing on short term goals and deliverables
- Leadership qualities to hire and build a kick-ass technology/ product team going forward
- Experience as a founder/ being part of founding team is huge plus but not mandatory
- Experience in the Fashion/ Apparel industry is a plus but not mandatory
𝐀𝐛𝐨𝐮𝐭 𝐋𝐃𝐔:
- LDU is has been selected as one of the top 17 startups (amongst 1200+ startups in South-East Asia) by Lightspeed Venture Partners, one of the top VCs in the world. We are building India’s version of Stitch Fix – Personalized clothing (your size, your style) at Scale. We personalize the user experience by building a Designer layer for the user through technology. Also, we leverage technology to aggregate the highly unorganized and broken supply side of tailor-units/ boutiques/ small manufacturers etc.
- LDU is a pre-series A start-up and has closed two rounds of funding. We are backed by India's top VC and angels.
𝐅𝐀𝐐
- Full time role.
- Location: Gurgaon
- CTC : INR 24 Lacs (with hansome Esops/ Equity)
- Experience: Preferably 2-5 years










