11+ Distribution management Jobs in Delhi, NCR and Gurgaon | Distribution management Job openings in Delhi, NCR and Gurgaon

What you need to have:

What We Are Looking For

CLOUDSUFI is seeking a senior, hands-on AI Platform Architect to design and build production-grade platforms for generative AI, agentic systems, data-intensive applications, and analytical workflows. This is a builder-architect role. The successful candidate will define architecture, make technology decisions, develop reference implementations, review critical code and designs, and guide engineering teams from prototypes to secure, scalable production systems. We are looking for a builder-architect with strong engineering judgement and practical delivery experience. The right candidate can define platform direction, evaluate trade-offs, validate ideas through implementation, and guide systems into production. They should be equally comfortable discussing distributed architecture, reviewing code, diagnosing workflow failures, designing evaluation systems, and mentoring engineering teams.

Key Responsibilities-

AI and Agentic Platform Architecture

• Design platforms for single-agent and multi-agent systems supporting planning, reasoning, tool use, memory, delegation, validation, and human approval.

• Define orchestration patterns for deterministic, dynamic, event-driven, and long-running AI workflows.

• Establish clear boundaries between LLM reasoning, application logic, quantitative computation, rules, and human decision-making.

• Evaluate and adopt agent frameworks, model providers, tools, and orchestration technologies based on reliability, flexibility, performance, and cost. Knowledge and Data Systems

• Architect RAG pipelines, document-processing systems, vector search, hybrid retrieval, knowledge graphs, and semantic data layers.

• Integrate structured and unstructured enterprise data from APIs, databases, files, streams, and external platforms.

• Design reusable workflows for research, data collection, transformation, analysis, modelling, validation, and reporting.

• Establish data lineage, provenance, metadata, access controls, freshness, and quality standards. Evaluation, Observability and Governance

• Build evaluation frameworks for accuracy, relevance, groundedness, task completion, tool use, safety, latency, and cost.

• Enable systematic experimentation across models, prompts, agents, tools, retrieval strategies, and orchestration patterns.

• Implement versioning and lifecycle management for prompts, agents, workflows, datasets, knowledge bases, evaluations, and model configurations.

• Establish tracing, monitoring, auditability, guardrails, approval workflows, and production quality diagnostics.

Cloud and Platform Engineering

• Define cloud-native architectures using microservices, APIs, event-driven systems, queues, schedulers, and distributed processing.

• Lead Kubernetes-based deployment, containerisation, CI/CD, Infrastructure as Code, environment management, and release automation.

• Design for horizontal scalability, fault tolerance, resilience, security, data privacy, and high availability.

• Optimise model usage, infrastructure, storage, retrieval, and compute for performance, latency, and cost.

Technical Leadership

• Translate product and business requirements into clear technical designs and implementation plans.

• Build prototypes and reference implementations for high-risk or foundational platform capabilities.

• Review architecture, code, interfaces, data models, infrastructure, and operational readiness.

• Define engineering standards and reusable patterns across AI, backend, data, and platform teams.

• Mentor senior engineers and support teams in resolving complex technical and production issues.

Required Skills and Experience

• 10+ years of experience in software architecture, platform engineering, distributed systems, data platforms, or AI systems.

• Strong hands-on experience designing and building production-grade AI or data-intensive platforms.

• Deep understanding of LLM applications, tool calling, structured outputs, RAG, embeddings, memory, and agent orchestration.

• Strong experience with cloud platforms, Kubernetes, containers, microservices, APIs, event driven architecture, CI/CD, and Infrastructure as Code.

• Experience with relational, document, graph, vector, and distributed data systems.

• Practical experience implementing AI evaluation, experimentation, tracing, monitoring, guardrails, and lifecycle management.

• Strong understanding of security, identity, access control, secrets management, data protection, and production reliability.

• Ability to move effectively between architecture, code, infrastructure, debugging, and technical delivery.

Good to Have

• Experience building enterprise AI copilots, autonomous workflows, research platforms, or analytical systems.

• Experience with knowledge graphs, hybrid search, model gateways, tool gateways, or agent marketplaces.

• Familiarity with LLMOps, MLOps, model serving, feature stores, model registries, and distributed compute.

• Experience supporting real-time and batch data processing at scale.

• Experience comparing and operating multiple commercial and open-source models.

• Prior experience in consulting, client-facing architecture, or complex enterprise platform delivery. 

Required Skills: Customer Segmentation & Personalization, CRM & Lifecycle Marketing, Data Analysis & KPI Reporting, A/B Testing & Experimentation, Funnel & Journey Optimization

Criteria:

- Candidate should have Experience: 4–6 years in CRM & Lifecycle Marketing for digital-first/app-based platforms.

- Preferred Industry Exposure: Gaming / OTT / E-commerce

- Proven ability to own end-to-end lifecycle metrics such as activation, retention, churn reduction, or reactivation

- Strong hands-on experience with CRM automation platforms such as Clevertap, MoEngage, Braze, or WebEngage

- Expertise in user segmentation, cohort creation, and personalized targeting based on behavioral and transactional data

- Experience in managing cross-channel campaigns (Push, WhatsApp, SMS, Email, RCS, In-app) with a focus on ROI and spend optimization

- Proficient in data analysis, funnel tracking, KPI reporting, and deriving insights (DAU, WAU, retention %, churn, watch conversion)

- Hands-on experience with A/B testing, experiments, holdout groups, and iterative optimization

- Strong understanding of journey mapping and funnel optimization, with the ability to identify drop-offs and improve user progression

- Candidates must have a 70% strategy + 30% execution mindset, ideally from reputable consumer brands.

Description

We are looking for a CRM & Lifecycle Marketing Manager to own and drive key user lifecycle metrics at company. The ideal candidate is data-driven, detail-oriented, and experienced in executing CRM campaigns and automation journeys that drive activation, retention, and engagement.

This is a high-impact, ownership-driven role where you’ll be responsible for defining, executing, and optimizing end-to-end CRM strategies using platforms like Clevertap, MoEngage, or WebEngage.

Key Responsibilities:

1. End-to-end metric ownership Be fully accountable for a defined lifecycle KPI (e.g., activation, D7 retention, churn rate) — set targets, build roadmap, deliver improvements and own outcomes.

2. Campaign setup & CRM operations (Clevertap / Braze / etc.) Build, configure, QA and execute campaigns and automated journeys in the CRM platform (Clevertap or equivalent) — audience selection, triggers, scheduling, tagging, and delivery monitoring.

3. Segmentation & personalization Define behavioural and transactional cohorts, implement dynamic personalization rules, and maintain audience hygiene to ensure relevance and lift.

4. Experimentation & optimization Design and run A/B and holdout experiments, analyse uplift, and iterate on messaging, timing and frequency to maximize impact.

5. Analysis, reporting & cross-functional alignment Track and interpret campaign and funnel metrics, maintain dashboards, produce concise insights and recommendations, and coordinate with Product, Data and CX for dependencies and fixes.

Key Expected Outcomes:

1. Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.

2. High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.

3. Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.

4. Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.

5. Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.

Requirements:

● End-to-end Lifecycle Ownership – ability to plan, execute, and measure campaigns for a defi ned metric or stage (e.g., activation, retention).

● CRM Automation Expertise – hands-on execution using tools like Clevertap ,MoEngage, WebEngage

● User Segmentation & Targeting – defi ning cohorts based on behaviour, subscription status, and engagement data.

● Cross-channel Campaign Management – executing communication via push, WhatsApp, SMS, RCS, email, and in-app along with Spends optimization

● Data Analysis & Reporting – tracking key KPIs and metrics (eg. DAU, WAU, retention %, watch conversion, churn) and deriving insights along with RCA

● A/B Testing & Experimentation – Continuously ideating, setting up and evaluating experiments to improve conversion and retention.

● Journey & Funnel Optimization – identifying drop-offs and improving user progression through lifecycle stages.

● Copy & Creative Collaboration – working with content/design teams to ensure messaging relevance and clarity.

● Stakeholder Collaboration – aligning with product, CX, Content and data teams for execution dependencies.

● Ownership Mindset – accountable for end outcomes and continuously optimizing performance of the assigned metric.

What will be the success metric for this role?

● Improvement in owned lifecycle metric — measurable growth in activation, retention, reactivation, or churn reduction for the assigned user cohort.

● High-quality campaign execution — error-free setup, timely delivery, and consistent hygiene across CRM journeys and automations.

● Increased user engagement & watch conversion — stronger daily/weekly active ratios and deeper content consumption.

● Data-driven optimization — regular testing and iteration leading to improved CTRs, conversions, and journey completion rates.

● Actionable insights for business teams — clear reporting and learnings that inform product and marketing decisions.

1. Proven experience as a Laravel Developer with a strong portfolio of past projects.
2. In-depth knowledge of Laravel, PHP, and MySQL.
3. Experience with front-end technologies such as HTML, CSS, JavaScript, and jQuery.
4. Familiarity with version control systems (e.g., Git).
5. Understanding of RESTful API development and consumption.
6. Strong problem-solving and communication skills.
7. Ability to work collaboratively in a team environment.
8. Attention to detail and a commitment to delivering high-quality solutions.
9. Experience with testing frameworks (e.g., PHPUnit) is a plus.
10. Knowledge of other PHP frameworks and CMS (e.g., Symfony, CodeIgniter, WordPress) is a plus.

1. Only NIFT, NID, or pearl graduate
2. Develop standard UI components and style guides
3. Build wireframes and storyboards to conceptualize design
4. Define visual elements, product elements, and overall design
5. Taking design briefs to understand requirements
6. Effectively communicate your designs to developers and other key stakeholders
7. Create and implement interaction models and user interface specifications
8. Conduct industry research and stay up-to-date on best practices, competitor UI designs, and emerging technologies
9. Conduct, observe and analyze usability testing sessions
10. Conduct user testing of applications, software, and websites
11. Develop consistent, intuitive architectures
12. Support the QA team to make sure features are implemented in the coded version as intended
13. Determine timeline and deliverables
14. Evaluate and set best practices and standards
15. Work with UI managers and team to define user flows and sitemaps
16. Measure the human-computer interaction (HCI) element of a design
17. Collaborate on scenarios, end-to-end experiences, and screen designs
18. Work with frontend and backend developers as needed

• 4-15 year experience in Application Support
• Must have good knowledge in Java/J2EE, Microservices, PL/SQL, Unix
• Good to have knowledge in Agile, JIRA, Splunk, Service Now
• Good understanding and hands-on experience in Incident, Problem and Change Management
• Provide technical leadership to the team & contribute in the skill development within team
  Interact with internal teams and client stakeholders to trouble shoot the tickets/incident and manage other support activities
• Good communications skills are necessary, must be team player and inquisitive.
• Strong customer service and support focus with a desire to deliver a high-quality service
• Ability to multi-task, work under pressure and to tight deadlines
• Flexible in working outside of office business hours at short notice (as required)
• Should be able to examine the system and identify the areas for Service Improvements & Value adds.

• Leading a team of researchers in certain projects, if and when required by the business
• Understanding the competitive landscape within each market
• Proposing research studies that will lead to impactful business decisions
• Developing and establishing a well-defined roadmap before starting a research project
• Working hand-in-hand with the business in understanding the various market, economic or such questions which are to be answered through relevant research
• Designing the research methodology and also Identifying and locating relevant information related to the particular research
• Identifying various data sources, collecting and analyzing data relevant to the research topic and also supporting in report-writing
• Performing statistical and qualitative analysis of data related to markets and competitors
• Planning and implementing project research processes and methodologies
• Monitoring the project output, analyzing the final conclusion and utility of the same in line with the business needs

• Masters in Economics or Public Policy is a must
• 3 – 5 years of experience in managing research process and outcomes
• Excellent communication skills and exceptional attention to details
• Ability to gather relevant data from various sources
• Strong problem-solving skills
• Strong quantitative and qualitative analysis skills
• Experience in leading a team of researchers is preferred    

Responsibilities

As a Frontend Developer (Next.js) you will be responsible for -

•  Building the Complete UI/UX of our web application from scratch.
• Work closely with the Backend Engineer to integrate the algorithmic output from the backend REST APIs.
• Work closely with the product owners to create dynamic infographics with intuitive user controls.
• Work closely with our web Designer for bringing design to life.
• Participate in UAT, troubleshoot, bugs and application integration issues
• Create and maintain documentation related to the developed processes and applications

Qualification & Experience

• 2-3 years of demonstrable experience designing, building and working as a Next.js Developer for enterprise web application
• Ideally, this would include the following:
• Expert-level proficiency with Next.js and all its concepts
• Expert-level proficiency with JavaScript (ES6), HTML5 & CSS
• Expert-level proficiency with ReactJS and all its concepts like Hooks and Redux
• Familiarity with Python, Django, and Django Rest Framework
• Understanding of REST concepts and interacting with REST APIs
• Deep understanding of a few UI concepts:
• Cross-browser compatibility and implementing the responsive web design
• Familiarity with common JS visualization libraries built using D3, Chart.js, Highcharts, etc.
• Understanding of Next.js coding Standards
• Experience working with UX designers and bringing design to life
• In addition, the ideal candidate would have great problem-solving skills and familiarity with code versioning tools such as Github