
Our client is a disruptive performance marketing agency with a data-driven approach adding impetus to its client's growth. The agency has developed two proprietary tools that enables them to execute large scale marketing campaigns. Automated media buying, centralized data tracking, business intelligence reports and personalized ads are the major services offered to the clients.
- Understanding client’s business objectives and Digital Marketing strategy.
- Strategizing client’s marketing brief & taking decisions for the team to deliver on.
- Creating customized & impactful presentations to showcase performance impact.
- Managing a team of digital marketing strategists and business operations team to drive multiple programs to completion.
- Being on top of industry updates from technology, competition & functionality perspective.
- Managing & prioritizing prospects pipeline – in line with monthly/ quarterly/ yearly goals.
- Helping company grow through performance marketing initiatives for its own core business.
- Working closely with business development & senior analyst teams to provide strategic inputs.
- Leading, mentoring and guiding the account managers in their daily efforts against all client digital campaign work.
- Negotiating contract including renew, upselling and be key contact for any new work discussion.
- Managing the workflow process by prioritizing projects and resources and by working across accounts to ensure proper alignment of resources.
What you need to have:
- 3 plus years of demonstrated track record of developing senior level client relationships.
- Very strong understanding of Digital Analytics.
- Hands on experience and deep expertise in Google Analytics, Google Adwords and Facebook advertising.
- Strong relationship management skills.
- Ability to command respect & drive meetings with CXO level members.
- Superb communication and presentation skills as well as a proven ability to develop well positioned and thoughtful documents and presentations.
- Thorough knowledge of the principles of advertising, marketing & media with thought leadership around the dynamics of the digital and interactive space, specifically Social, Digital Media, and Search.
- Ability to use alternative analytical approaches to solve digital/ interactive marketing problems.
- Above 80% in class 10th & 12th Maths score.
- BE/ BTech - Should be from Tier 1/Tier 2 college.

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🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)
Experience: 4–8 Years
Location: Bengaluru (On-site / Hybrid)
Company: Publicly Listed, Global Product Platform
🧠 About the Mission
We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.
This is not incremental improvement.
This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.
We are re-architecting:
- Legacy systems → AI-native architectures
- Static pipelines → autonomous, self-healing systems
- Data platforms → intelligent, learning systems
- Software workflows → agentic execution layers
This is the kind of shift you would expect from companies like Google or Microsoft —
Except here, you will build it from day zero and scale it globally.
🧠 The Opportunity: This role sits at the intersection of three high-impact domains:
1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI
2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines
3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure
We are building systems where:
- Data platforms optimize themselves using ML/LLMs
- Pipelines are autonomous, self-healing, and adaptive
- Queries are generated, optimized, and executed intelligently
- Infrastructure learns from usage and evolves continuously
This is: AI as the control plane for data infrastructure
🧩 What You’ll Work On
You will design and build AI-native systems deeply embedded inside data infrastructure.
1. AI-Native Data Platforms
- Build LLM-powered interfaces:
- Natural language → SQL / pipelines / transformations
- Design semantic data layers:
- Embeddings, vector search, knowledge graphs
- Develop AI copilots:
- For data engineers, analysts, and platform users
2. Autonomous Data Pipelines
- Build self-healing ETL/ELT systems using AI agents
- Create pipelines that:
- Detect anomalies in real time
- Automatically debug failures
- Dynamically optimize transformations
3. Intelligent Query & Compute Optimization
- Apply ML/LLMs to:
- Query planning and execution
- Cost-based optimization using learned models
- Workload prediction and scheduling
- Build systems that:
- Learn from query patterns
- Continuously improve performance and cost efficiency
4. Distributed Data + AI Infrastructure
- Architect systems operating at:
- Billions of events per day
- Petabyte-scale data
- Work with:
- Distributed compute engines (Spark / Flink / Ray class systems)
- Streaming systems (Kafka-class infra)
- Vector databases and hybrid retrieval systems
5. Learning Systems & Feedback Loops
- Build closed-loop AI systems:
- Execution → feedback → model updates
- Develop:
- Continual learning pipelines
- Online learning systems for infra optimization
- Experimentation frameworks (A/B, bandits, eval pipelines)
6. LLM & Agentic Systems (Infra-Aware)
- Build agents that understand data systems
- Enable:
- Autonomous pipeline debugging
- Root cause analysis for infra failures
- Intelligent orchestration of data workflows
🧠 What We’re Looking For
Core Foundations
- Strong grounding in:
- Machine Learning, Deep Learning, NLP
- Statistics, optimization, probabilistic systems
- Distributed systems fundamentals
- Deep understanding of:
- Transformer architectures
- Modern LLM ecosystems
Hands-On Expertise
- Experience building:
- LLM / GenAI systems (RAG, fine-tuning, embeddings)
- Data platforms (warehouse, lake, lakehouse architectures)
- Distributed pipelines and compute systems
- Strong programming skills:
- Python (ML/AI stack)
- SQL (deep understanding — query planning, optimization mindset)
Systems Thinking (Critical)
You think in systems, not components.
- Built or worked on:
- Large-scale data pipelines
- High-throughput distributed systems
- Low-latency, high-concurrency architectures
- Understand:
- Query optimization and execution
- Data partitioning, indexing, caching
- Trade-offs in distributed systems
🔥 What Sets You Apart (Top 1%)
- Built AI-powered data platforms or infra systems in production
- Designed or contributed to:
- Query engines / optimizers
- Data observability / lineage systems
- AI-driven infra or AIOps platforms
- Experience with:
- Multi-modal AI (logs, metrics, traces, text)
- Agentic AI systems
- Autonomous infrastructure
- Worked on systems at scale comparable to:
- Google (BigQuery-like systems)
- Meta (real-time analytics infra)
- Snowflake / Databricks (lakehouse architectures)
🧬 Ideal Background (Not Mandatory)
We often see strong candidates from:
- Data infrastructure or platform engineering teams
- AI-first startups or research-driven environments
- High-scale product companies
Experience building:
- Internal platforms used by 1000s of engineers
- Systems serving millions of users / high throughput workloads
- Multi-region, distributed cloud systems
🧠 The Kind of Problems You’ll Solve
- Can LLMs replace traditional query optimizers?
- How do we build self-healing data pipelines at scale?
- Can data systems learn from every query and improve automatically?
- How do we embed reasoning and planning into infrastructure layers?
- What does a fully autonomous data platform look like?
Background: We Commonly See (But Not Limited To)
Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:
- Leading engineering schools in India and globally
- Engineers with experience in top product companies, AI startups, or research-driven environments
- That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.
REVIEW CRITERIA:
MANDATORY:
- Strong Customer Success, Large account management Profile
- Must have 5+ YOE in Customer Success, Account Management, or Client Relationship in a SaaS environment.
- Must have 3+ YOE in Team management
- Must have expertise in managing and ensuring long-term satisfaction and growth with the enterprise-level customers,
- Must be proficient in CRM and customer success tools
- Candidate for Hyderabad should know 1 more South Indian language (Tamil, Kannada, Malayalam) other than Telugu
PREFERRED:
- Retail, Manufacturing or FMCG
- Candidates for Hyderabad knowing any other south Indian language apart from Telegu
ROLE & RESPONSIBILITIES:
- Build and maintain strong relationships with key stakeholders within assigned high ticket accounts.
- Serve as the primary point of contact for strategic customers, ensuring their needs are met and expectations are exceeded.
- Develop and execute customer success plans, including onboarding, training, and ongoing support.
- Proactively identify and address customer challenges, providing solutions and recommendations to drive customer success.
- Collaborate with cross-functional teams, including Sales, Product, and Support, to ensure a seamless customer experience.
- Conduct regular business reviews with customers to review performance, identify areas for improvement, and present new opportunities.
- Monitor customer health metrics and proactively address any red flags to prevent churn.
- Act as a customer advocate, providing feedback and insights to internal teams to drive product enhancements and improvements.
- Stay up-to-date with industry trends and best practices in customer success management.
IDEAL CANDIDATE:
- Bachelor's degree in Business Administration, Accounts, or a related field.
- Minimum of 5 years of experience in a customer success role, preferably in a SaaS company.
- Proven track record of managing and retaining high-value customers.
- Excellent communication and interpersonal skills, with the ability to build strong relationships with customers.
- Strong problem-solving and analytical skills, with the ability to identify and address customer challenges.
- Self-motivated and results-oriented, with the ability to work independently and as part of a team.
- Proficient in CRM software and other customer success tools.
- Ability to travel as needed to meet with customers.
Power BI Developer(Azure Developer )
Job Description:
Senior visualization engineer with understanding in Azure Data Factory & Databricks to develop and deliver solutions that enable delivery of information to audiences in support of key business processes.
Ensure code and design quality through execution of test plans and assist in development of standards & guidelines working closely with internal and external design, business and technical counterparts.
Desired Competencies:
- Strong designing concepts of data visualization centered on business user and a knack of communicating insights visually.
- Ability to produce any of the charting methods available with drill down options and action-based reporting. This includes use of right graphs for the underlying data with company themes and objects.
- Publishing reports & dashboards on reporting server and providing role-based access to users.
- Ability to create wireframes on any tool for communicating the reporting design.
- Creation of ad-hoc reports & dashboards to visually communicate data hub metrics (metadata information) for top management understanding.
- Should be able to handle huge volume of data from databases such as SQL Server, Synapse, Delta Lake or flat files and create high performance dashboards.
- Should be good in Power BI development
- Expertise in 2 or more BI (Visualization) tools in building reports and dashboards.
- Understanding of Azure components like Azure Data Factory, Data lake Store, SQL Database, Azure Databricks
- Strong knowledge in SQL queries
- Must have worked in full life-cycle development from functional design to deployment
- Intermediate understanding to format, process and transform data
- Should have working knowledge of GIT, SVN
- Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
- Basic understanding of data modelling and ability to combine data from multiple sources to create integrated reports
Preferred Qualifications:
- Bachelor's degree in Computer Science or Technology
- Proven success in contributing to a team-oriented environment
Role & Responsibilities:
- Individuals are responsible for all traditional development activities analysis, design, coding, testing, and documentation.
- Add new features to existing Windows and Web-based applications in Visual Studio 2019. Interacting with internal team.
- Transform business and design needs into innovative products.
- Drive all projects to completion within deadlines.
- Perform thorough testing to find issues ahead of time.
- Engineering software needs more precise analysis & coding skillset
- Enhance skillset by working with fortune 500 clients
- Interacting with internal team.
Qualifications:
- B.E in computer science or related fields.
- Hand on development experience with web & database technologies (MS SQL).
- Excellent programming & communication skills Strong problem solving, judgmental, and decision-making skills.
- Ability to work at the tactical and strategic levels of IT initiatives.
- Impressive hands-on experience in .Net technologies. Impressive hands-on experience and knowledge with C#, SQL, JSON, XML, Win Forms & MVC, Angular, JavaScript, jQuery , HTML/CSS.
- Self-Motivated, flexible & Innovative.
Knowledge on Cloud technologies : AWS, Migrations, MAP Program, Devops, Modernization, Data etc
Added advantage if previously worked with AWS/public cloud partner management network and understands the cloud business well.
Experience: 3- 5 Yrs
Education : UG with MBA Preferred
Roles and Responsibilities:
- We are looking for software developers with hands-on experience in react, firebase, and UML for a Japanese company in New Delhi.
- You should be a passionate web developer, who will work as part of a core team to build best-in-class frameworks and web / mobile applications for Japanese clients.
- You will work under a native Japanese supervisor and contribute to designing and developing mobile and web applications.
- This is a great chance for learning and upgrading yourself in an international environment. You will help in developing software and application for our customers from various industries such as IT, manufacturers, finance, services, etc. Develop by using Java, C#, JavaScript,React.js, PHP, Python, Flutter, React Native, etc.
- Experience with frontend JavaScript, in conjunction with Typescript or Flow, and modern frameworks like React, React Native, Redux, and other JS libraries is an advantage.
- Experience as a full-stack engineer is an advantage.
- Self-directed, driven, and sharp.
- You'll be surrounded by teammates with deep experience in strategy, data, code, and design, hence a great chance to learn and upgrade your skills
- Experience with project management tools and Git is an advantage.
- Strong proficiency in HTML, CSS & JavaScript.
- Hand-on experience with react, firebase, UML.
- Should be a Japanese speaker JLPT N3, JLPT N2
1. Experience working with a Java Script framework.
2. In-depth understanding of Java Script, the DOM, and relevant concepts
3. Proficiency with browser-based debugging and performance testing
4. Thorough understanding of React.js etc., (Redux) and its core principles
5. Familiarity with newer specifications of ECMA Script
6. Familiarity with RESTful APIs
7. Ability to understand business requirements and translate them into technical requirements
8. Familiarity with code versioning tools such as Git, SVN, and Mercurial
Note: Right candidate will have no bar
Understanding PowerApps formulas and development methods. Ability to develop
POWER BI Min 2+ years of hand on experience in POWER BI Reports and dashboard development, MS SSAS, MS SSAS & POWER BI Candidate
Should have hands on experience on writing complex SQL queriesworkflows using PowerApps and Microsoft PowerAutomate.
Customizing SharePoint lists and disparate systems with PowerApps Knowledge of PowerApps and PowerAutomate licensing Automating business processes with Microsoft PowerAutomate.
Automating business processes with Microsoft PowerAutomate.
Ability to create custom connectors for Microsoft PowerAutomate.
Experience with API or rest services integrations.
Understanding of how to implement solutions with multiple data source Understanding PowerApps formulas and development methods
Data Platform engineering at Uber is looking for a strong Technical Lead (Level 5a Engineer) who has built high quality platforms and services that can operate at scale. 5a Engineer at Uber exhibits following qualities:
- Demonstrate tech expertise › Demonstrate technical skills to go very deep or broad in solving classes of problems or creating broadly leverageable solutions.
- Execute large scale projects › Define, plan and execute complex and impactful projects. You communicate the vision to peers and stakeholders.
- Collaborate across teams › Domain resource to engineers outside your team and help them leverage the right solutions. Facilitate technical discussions and drive to a consensus.
- Coach engineers › Coach and mentor less experienced engineers and deeply invest in their learning and success. You give and solicit feedback, both positive and negative, to others you work with to help improve the entire team.
- Tech leadership › Lead the effort to define the best practices in your immediate team, and help the broader organization establish better technical or business processes.
What You’ll Do
- Build a scalable, reliable, operable and performant data analytics platform for Uber’s engineers, data scientists, products and operations teams.
- Work alongside the pioneers of big data systems such as Hive, Yarn, Spark, Presto, Kafka, Flink to build out a highly reliable, performant, easy to use software system for Uber’s planet scale of data.
- Become proficient of multi-tenancy, resource isolation, abuse prevention, self-serve debuggability aspects of a high performant, large scale, service while building these capabilities for Uber's engineers and operation folks.
What You’ll Need
- 7+ years experience in building large scale products, data platforms, distributed systems in a high caliber environment.
- Architecture: Identify and solve major architectural problems by going deep in your field or broad across different teams. Extend, improve, or, when needed, build solutions to address architectural gaps or technical debt.
- Software Engineering/Programming: Create frameworks and abstractions that are reliable and reusable. advanced knowledge of at least one programming language, and are happy to learn more. Our core languages are Java, Python, Go, and Scala.
- Data Engineering: Expertise in one of the big data analytics technologies we currently use such as Apache Hadoop (HDFS and YARN), Apache Hive, Impala, Drill, Spark, Tez, Presto, Calcite, Parquet, Arrow etc. Under the hood experience with similar systems such as Vertica, Apache Impala, Drill, Google Borg, Google BigQuery, Amazon EMR, Amazon RedShift, Docker, Kubernetes, Mesos etc.
- Execution & Results: You tackle large technical projects/problems that are not clearly defined. You anticipate roadblocks and have strategies to de-risk timelines. You orchestrate work that spans multiple teams and keep your stakeholders informed.
- A team player: You believe that you can achieve more on a team that the whole is greater than the sum of its parts. You rely on others’ candid feedback for continuous improvement.
- Business acumen: You understand requirements beyond the written word. Whether you’re working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to details leads to a delightful user experience.
Job Description :
- 3 or more years of experience of server side web systems engineering and middleware in a project services or product engineering organisation
- Hands-on development experience using JavaScript on the Server Side with Node.js and associated frameworks
- Published sites/systems that are now online
- Self motivation and ability to manage your own time to get the job done at the high international quality levels we expect
- An engineering Degree in computer science or equivalent practical experience
- A solid understanding of networking, storage, operating/browser systems engineering as well as application/software systems performance optimisation and third party systems integration
- Hands on experience with Amazon Web Services
- Prior experience working within the Media, E-commerce, Telecommunications or similar large scale consumer facing industry







