About client:
Our client is the world’s largest media investment company. In fact, they are responsible for one in every three ads you see globally. In this role, you will be leading the advocacy narrative for a large cluster of brands for the largest FMCG organization in India.
BEST THINGS ABOUT THE JOB
1. Strategic Leadership Opportunities: As the Director of Product Marketing, you will play a pivotal role in shaping and driving the product marketing landscape for a leading consumer goods company. Your strategic insights and hands-on expertise will directly impact product marketing campaigns, contributing to the organization's growth and market dominance.
2. Transformational Role: In just three months, you'll immerse yourself in the product marketing landscape, and within a year, you'll lead process excellence, innovation, and collaboration. This dynamic progression will challenge you and provide a platform to showcase your capabilities in product marketing strategy.
3. Global Exposure and Collaboration: Working closely with global and APAC teams will allow you to collaborate across diverse markets, cultures, and strategies. Your insights will contribute to a cohesive global product marketing strategy, expanding your professional horizons.
4. Innovation and Creativity: The role offers the chance to introduce innovative product marketing strategies, technologies, and creative campaign approaches. Your ideas will drive exceptional results, ensuring that your creativity is recognized and celebrated.
5. Established Industry Leader: The FMCG brand is a market leader in the fast-moving consumer goods sector. Working with them means being a part of a company that values excellence, growth, and innovation. Your efforts will be instrumental in shaping the product marketing landscape for this industry giant.
REQUIRED EXPERIENCE
• You bring a proven track record of at least 8 years in product marketing, with progressively increasing responsibilities.
• Extensive hands-on experience with Google, Meta (Facebook, Instagram), Google Ads Data Hub, Snapchat, Spotify, and Programmatic Advertising platforms like The Trade Desk and DV 360.
• Working knowledge of Customer Data Platforms (CDP), Data Clean Rooms, First Party Data enhancement tools, and techniques.
REQUIRED COMPETENCIES
• Digital Marketing Expertise: Demonstrated expertise in digital marketing strategies, including SEO, SEM, social media, email marketing, content marketing, and more.
• Data Analysis: Proficiency in analysing data to derive actionable insights, track KPIs, and measure the effectiveness of campaigns. Experience with tools like Google Analytics, marketing
automation platforms, and CRM systems.
• Process Optimization: Proven ability to design, implement, and optimize processes to improve efficiency and effectiveness. Knowledge of methodologies such as Lean, Six Sigma, or Agile is a plus.
• Project Management: Strong project management skills, including the ability to prioritize tasks, manage timelines, and ensure successful campaign execution within deadlines.
• Collaboration: Excellent communication and collaboration skills to work effectively with crossfunctional teams. Ability to lead, inspire, and influence team members to achieve common goals.
• Technical Proficiency: Familiarity with various digital marketing tools, software, and platforms, including advertising platforms, marketing automation software, and CMS systems.
• Effective Communication: Strong written and oral communication skills in English, with the ability to articulate ideas clearly and persuasively. You can communicate complex concepts to
both technical and non-technical stakeholders.
• Extreme Ownership: You take full ownership of your projects, campaigns, and decisions, embracing accountability and driving results. Your proactive attitude ensures that challenges are
met head-on.
• Strategic Thinking: You possess a strategic mindset, able to analyze the bigger picture and translate it into actionable digital marketing strategies that align with business goals.
• Innovative Mindset: Your creative thinking and willingness to explore new ideas contribute to the constant evolution of our digital marketing efforts.

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We are Hiring for Sales Engineer / Sr Sales Manager for a leading construction equipment manufacturing company
Locations : Mumbai / Pune
Job Requirement
Good expereince in selling Construction / Fire Safety / Elevator / Lift / Escalator manufacturing company
Develop and execute strategies to achieve sales targets for equipment and elevator systems.
Conduct technical presentations and product demonstrations for prospective and existing clients.
Provide detailed technical and application advice to customers on equipment and elevator solutions.
Identify and assess customer needs through site visits, consultations, and discussions.
Prepare and deliver proposals, quotations, and technical documentation.
Maintain and build relationships with key clients, ensuring high levels of customer satisfaction and
retention.
Oversee the technical aspects of sales projects from inception to completion, ensuring all specifications
and requirements are met.
Collaborate with engineering and installation teams to ensure successful project delivery.
Address and resolve technical issues that arise during the sales process or order finalization.
Monitor and analyse market trends, competitor activities, and customer feedback to identify
opportunities and threats. Provide insights and recommendations to enhance product offerings and
sales strategies.
Maintain records of sales activities, customer interactions, and project status in the CRM system.
Prepare regular sales reports, forecasts, and performance metrics for management review.
Qualifications
Bachelor's degree B.E. / Diploma (Mechanical)
Skills
- 2-10 years of proven experience as a sales or in a similar role in Construction / Fire Safety / Elevator / Lift / Escalator manufacturing company
- Strong written and verbal communication skills.
- Strong technical knowledge of equipment and elevator systems.
- Excellent communication and presentation skills.
- Time management and ability to meet deadlines
- Proficiency in CRM software and Microsoft Office Suite (Excel, Word, PowerPoint).
- Ability to work independently and manage time effectively in a field-based role.
- Valid driver’s license and willingness to travel as required.
- Strong problem-solving skills and a customer-focused approach.
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.
Role & Responsibilities
- work with peers in Product, QA, and other Engineering departments;
- coach and mentor team members;
- cautiously drive adoption of new technologies and processes;
- preserve our engineering values of quality, scalability, and maintainability;
- “see around corners” — identify blind spots and prioritize work across teams;
- work with international teams to ensure successful product development and delivery; and
- own the overall architecture and systems engineering for your products.
Ideal Candidate
- exceptional communication and organizational skills;
- experience recruiting for and building software engineering teams;
- the ability to inspire and motivate team members;
- a strong technical background in software engineering and architecture, and experience with modern programming languages and frameworks;
- 6+ years of software development experience; and
- 4+ years of experience managing software teams (as a Team Lead or a Manager) or similar experience as an individual contributor.
Strong in MS SQL.
Strong in Performance tuning, Troubleshooting, Dubugging, Query Optimization
.net exposure will be good to have.
3+ Years in SSRS & SSIS
Excellent Skills in Writing Stored Procedures, Functions,Triggers,queries, Scripts etc
Hands-on experience with RESTful services, API design are must.
Knowledge of microservices architecture is must.
Knowledge of design patterns is a must.
Strong knowledge of Exception handling and logging mechanism is a must.
Agile scrum participation experience. Work experience with several agile teams on an application built
with microservices and event-based architectures to be deployed on hybrid (on-prem/cloud)
environments.
Good knowledge of Spring framework (MVC, Cloud, Data and Security. Etc) and ORM frameworks like JPA/Hibernate.
Experience in managing the Source Code Base through Version Control tools like SVN, GitHub,
Bitbucket, etc.
Experience in using and configuration of Continuous Integration tools Jenkins, Travis, GitLab, etc.
Experience in the design and development of SaaS/PaaS-based architecture and tenancy models.
Experience in SaaS/PaaS-based application development used by a high volume of
subscribers/customers.
Awareness and understanding of data security and privacy.
Experience in performing Java Code Reviews using review tools like SonarQube, etc.
Good understanding of end-to-end software development lifecycle. Ability to read and understand
requirements and design documents.
Good Analytical skills and should be self-driven.
Good communication with interpersonal skills.
Open to learning new technologies and domains.
A good team player and ready to take up new challenges. Active communication and coordination with
Clients and Internal stakeholders
Requirements: Skills and Qualifications
6-8 years of experience in developing Java/J2EE-based Enterprise Web Applications
Languages: Java, J2EE, and Python
Databases: MySQL, Oracle, SQL Server, PostgreSQL, Redshift, MongoDB
DB Script: SQL and PL/SQL
Frameworks: Spring, Spring Boot, Jersey, Hibernate and JPA
OS: Windows, Linux/Unix.
Cloud Services: AWS and Azure
Version Controls/ DevOps tools: Git, Bitbucket and Jenkins.
Message brokers: RabbitMQ, and Kafka
Deployment Servers: Tomcat, Docker, and Kubernetes
Build Tools: Gradle/Maven
Need to generate sales and building good customer relationships with effective communication.
Regular customer feedback and reviews
Primary Responsibilities
- Support enterprise account executives with solution selling into prospect account base
- Conducting in-depth product demonstrations of our solutions
- Presenting the products at events, conferences, seminars and webinars
- Partner with sales executives to plan, prepare and execute on strategic deals involving complex sales cycles
- Model the financial business case and ROI associated with each sales opportunity
- Successfully match customer pain/requirements to proposed solutions
- Create and deliver powerful presentations and demos that clearly communicate the uniqueness of the value proposition
- Manage all technical aspects of RFP / RFI responses
- Effectively communicate client needs to Customer Success team during handover as well as to Product and Product Marketing teams for future product enhancements
- Collect and document competitive intelligence
- Work closely with Account Managers to plan expansion within strategic accounts
Requirements - Proven work experience as a Sales Engineer at a B2B SaaS company, preferably in the cloud infrastructure domain
- Creativity to approach sales and build customer relationships in ground-breaking new ways
- Excellent written and oral communication skills
- Excellent organizational skills and a keen eye for detail
- Deeply data-driven with a growth mindset
- Negotiation and social problem-solving skills
- Ability to work in a complex sales environment and multitask
- Proven track record selling complex enterprise solutions
- Ability to forge strong, long-lasting relationships with senior executives
- Ability to creatively explain and present complex concepts in an easy to understand manner
- Solid technical background with understanding and/or hands-on experience in cloud technologies (Such as AWS and/or Azure and/or GCP, Automation, Orchestration, CI/CD tools, Scripting etc.)
- Excellent presentation and creativity skills
- Willingness to travel as needed
- BA/BS degree or equivalent
JAVA SPRING BOOT DEVELOPER - Immediate Joiners
Work Experience: 4-7 years
Work location: Hyderabad
Must Have Skills: Spring Boot
Desired Candidate Profile
Proficiency in core Java & Spring framework
Expertise in Web Service technologies.
Excellent knowledge in Databases and code integrations such as Postgres SQL, SQL Server, MySQL
Experience with Java Spring Boot, Hibernate Cloud Services, AWS, S3, Server-less lambda functions
Experience with security principles and frameworks
Knowledge of modern authorization mechanisms, such as JSON Web Token and OAuth2 - Familiarity with code versioning tools such as Git, etc.
Essential skills are Core Java/J2EE, functional aspects, Spring Framework, Swagger, Tomcat, SVN, Git, Postman/Newman.
Should have worked in Agile methodologies.
Good object oriented and problem solving skills.
Strong communication skills along with the ability to work in a highly collaborative environment.
Role & Responsibilities
- Design and develop features using Java, Spring, and Hibernate
- Ability to design database schema, develop views and stored procedures
- Maintain existing software systems by identifying and correcting software defects
- Review and analyse business requirements and provide technical feasibility and estimates
- Coordinate the workflow between the UX team and front end developers
Qualification
- 4-7 years of work experience developing Java-based backend applications
- Around 2 year of work experience using Spring Boot, Spring Cloud and Microservices
- Bachelor degree in computer science, or information technology, or other related field of study











