Performance Marketing Manager

Sr. Paid Marketing Analyst

Full-time | On-site | 3+ years​ | Pune, Maharashtra​

Or apply via: https://www.gomogroup.com/en/career/

WHY CHOOSE GO MO?

We are an award-winning international digital pull-marketing firm and one of Europe’s fastest growing digital marketing agencies. You will receive:

• Extensive Growth Opportunities
• International Exposure
• Training Programs
• Mentorship

OUR OFFERINGS

• Pull Marketing (SEO)
• Google Ads
• Web Development
• UI / UX Design
• Demand Generation

Our client portfolio includes 100+ leading European companies

OUR OFFICES: WeWork Raheja Woods, Kalyani Nagar

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SCOPE OF WORK:

Research and Analysis:

• Stay ahead of platform updates and trends; integrate innovations into strategy
• Drive keyword strategy and restructure accounts to unlock scalable growth
• Lead cross-channel campaign optimization using platforms like Google Ads, Bing Ads, and GA4 to improve ROI
• Analyze and interpret conversion and attribution data to deriveactionable strategic insights
• Ability to create strategies and budget forecasts

Communication:

• Coordinate with team Sweden on project performance, timelines and results to design growth-driven strategies
• Partner with internal teams to address performance challenges
• Deliver projects on time, meeting weekly and monthly deadlines

Strategy & Execution:

• Lead paid media initiatives to drive conversions and revenue using omnichannel strategies, capitalizing on AI for optimization
• Optimize campaigns on platforms like Google Ads, Bing Ads, and LinkedIn Ads
• Take ownership of campaigns end-to-end to ensure KPIs and Goals are met
• Continuously refine team processes and automate repetitive tasks to drive efficiency and scalability

Reporting

• Create performance reports using Google Slides/other dashboards, and review them with clients
• Present key strategies and insights to Client Success Managers and clients
• Consider key performance metrics such as CPC, CTR, CPA, & ROAS for creating and conveying detailed inferences in monthly, quarterly & yearly reports

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MANDATORY REQUIREMENTS

• Minimum 2 experience hands on experience with Google Ads
• Strong domain expertise in paid media, including strategy, execution, and analytics
• Skilled in leveraging AI tools (e.g., ChatGPT, Gemini, Claude) to enhance campaign efficiency and decision-making
• Strong analytical skills with advanced proficiency in Excel or Google Sheets for data analysis and performance tracking
• Excellent written and verbal communication skills in English
• Bachelor's degree in any field; a Master’s degree is a plus

HANDS ON EXPERIENCE

• Google Ads, LinkedIn Ads, Bing/Microsoft Ads
• Google Tag Manager (GTM), GA4, Looker Studio
• Strong understanding of performance marketing principles, bidding
• strategies, and attribution models
• Proven track record in driving successful PPC and paid search campaigns
• Experience in dealing directly with clients
• Effective communication and reporting skills
• Good experience in managing medium to large-sized budgets
• Strong analytical skills and should be good with numbers
• Should have a data driven approach to work

PREFERRED ATTRIBUTES

• Experience in LinkedIn Ads
• Proven track record in driving successful Performance Campaigns utilizing AI tools like ChatGPT
• Certifications in digital marketing tools like GA4, Google Ads, Meta Ads, etc
• Residing in/ willing to relocate to Pune
• Experience with delivery management or people management

Job Types: Full-time, Permanent

Benefits:

• Health insurance
• Leave encashment
• Provident Fund

Experience:

• Google Ads: 2 years (Required)

Location:

• Kalyani Nagar, Pune, Maharashtra (Preferred)

Work Location: In person

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Job Overview:

We are seeking a motivated and enthusiastic Junior AI/ML Engineer to join our dynamic team. The ideal candidate will have a foundational knowledge in machine learning, deep learning, and related technologies, with hands-on experience in developing ML models from scratch. You will work closely with senior engineers and data scientists to design, implement, and optimize AI solutions that drive innovation and improve our products and services.

Key Responsibilities:

• Develop and implement machine learning and deep learning models from scratch for various applications.
• Collaborate with cross-functional teams to understand requirements and provide AI-driven solutions.
• Utilize deep learning frameworks such as TensorFlow, PyTorch, Keras, and JAX for model development and experimentation.
• Employ data manipulation and analysis tools such as pandas, scikit-learn, and statsmodels to preprocess and analyze data.
• Apply visualization tools like matplotlib and spacy to present data insights and model performance.
• Demonstrate a general understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts.
• Leverage knowledge of statistical and algorithmic models along with fundamental mathematical concepts, including linear algebra and probability.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• Solid foundation in machine learning, deep learning, computer vision, and natural language processing (NLP).
• Proven experience in developing ML/deep learning models from scratch.
• Proficiency in Python and relevant libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, or JAX.
• Experience with data manipulation and analysis libraries like pandas, scikit-learn, and visualization tools like matplotlib.
• Strong understanding of data structures, algorithms, and multi-threaded programming.
• Knowledge of statistical models and fundamental mathematical concepts, including linear algebra and probability.

Skills and Competencies:

• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.
• Eagerness to learn and stay updated with the latest advancements in AI/ML technologies.

Preferred Qualifications:

• Previous internship or project experience in AI/ML.
• Familiarity with cloud-based AI/ML services and tools.

Nirwana.AI is an equal opportunity employer and welcomes applicants from all backgrounds to apply.

50%   Solution Definition, Confirmation, and Development

•   In depth knowledge of SAP IBP solution development in multiple modules (DP/SP/IO) with an ability to support solution deployment considering best practices

•   Ability to drive the business need discussions and mapping the requirements to SAP IBP system and design the process

•   Key contact for the vendor partners of IBP application

•   Support end-to-end application architecture integrity and the functional relationship across multiple projects and applications 

•   Identifies key integration requirements to other solutions, understands the end-to-end flow of data, and ensures the integrity of data as it moves across the solution landscape

•   Develops conceptual designs and solution blueprints

•   Provides support and consultation for detailed design, deployment, testing and production support.

•   Responsible for maintaining solution integrity through the course of the project including controlling scope, managing solutions for change requests and clarifying solution capabilities during all delivery phases

•   Acts as part of the broader Cargill Architecture community to define and execute architecture processes.

•   Partners with the Center-Led Portfolio Solution Architect(s) to understand the application architecture for all capabilities within the OSC portfolio (meaning the application portfolio, key APIs, transactions, etc.) and the associated roadmap 

•   Ensures region application architecture aligns with portfolio architecture and Enterprise Architecture standards/principles

30%   Business Partnership

•   Work with regional BRMs and businesses to establish clear connections between business goals and strategies and the process, data, and technology investments required to achieve them.

•   Collaborate with internal teams and external stakeholders to resolve issues, troubleshoot errors, and optimize performance

•   Responsible for the definition of the architecture and technology opportunities of the application based on new and emerging technologies. Independently establish priorities and strategies, ensuring they are consistent with business goals and economic viability.

20%   IT Innovation & Delivery

•   Drives improvement of architecture methodologies and services. Supports implementation, improvements, and proper utilization of architecture tools. Ensures the quality of architecture assets, and keeps them up-to-date. Develops and maintains architecture metrics. 

•   Continuous Improvement: Stay abreast of SAP IBP enhancements, upgrades, and new features. Proactively propose and implement improvements to existing processes leveraging new functionalities.

•   Maintain knowledge of industry trends and utilize this knowledge to educate both IT and the business on opportunities to build better target architectures that support and drive business decisions.

•   Assist in the design of new testing methods and resolves routine and non-routine technical issues with minimal assistance. With minimal guidance, monitors systems capacity and performance.

Description:

• Building highly scalable services end-to-end with frontend to handle terabytes of data.

• Finding innovative ideas to solve highly complex engineering problems or best UI/UX experience.

• Own, execute and deliver products/features end-to-end from planning to design to development to deployment

• Be the go-to person for the team for guidance and troubleshooting

• Proactively involved in code reviews, architecture, and design discussions

• Be the mentor to junior engineers or Interns for their deliverables to succeed

• Maintain engineering standards and best practices for coding, code reviews, releases

Required skills:

• 1 to 3 years of expertise in full stack software development with one or more of the general programming languages (e.g., Frontend- Angular, React, TypeScript, Backend- Python, java, C/C++, Go etc.). Experience in Angular with python is recommended.

• Deep understanding of how to build an application with easy integration of RESTful APIs along with good sense of UI designs.

• Knowledge of a how a frontend and backend framework like Angular or Django or similar with ORM or multi-tier, multi-DB-based data-heavy web application development will help your profile stand out.

• Proficiency in (S)CSS, HTML5, Javascript and writing cross-browser compatible code along with CSS framework like Bootstrap.

• Good understanding of RxJS observables and/or Promises, chart libraries like ChartJS or Highcharts.

• Good understanding of bundling modules (Webpack or gulp)

• knowledge of SQL queries & DB like PostgreSQL(must) or MySQL. Working knowledge of NoSQL DBs (Mongo, Redis, etc.) is a plus.

• Understands a programming language's limitation to exploit the language behavior to the fullest potential.

• Understanding of accessibility and security compliances

• Ability to communicate complex technical concepts to both technical and non- technical audiences with ease

• Diversity in skills like version control tools, CI/CD, cloud basics, good debugging skills, and test-driven development will help your profile stand out.

Company Overview:  

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.  

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.  

Roles & Responsibilities : 

Familiar with the software development life cycle (SDLC) from analysis to deployment & coding standards. 

Believes in systematic approach to developing the system through clear documentation (flowcharts, layouts, & etc) of functionality, address every use case through creative solutions. 

Ability to integrate the developed functionality and/or component into a fully functional system. 

Ensure unit and integration level verification plan are in place 

Actively participate in troubleshooting, debugging and updating current live system. 

Work closely with analysts, designers and other peer developers. 

Preparing technical training documents for onboarding new engineers. 

Requirements : 

Must have good understanding of Object Oriented Programming 

5 years or more of professional software development experience with 3 or more years of experience developing .NET/C# web applications using Microsoft Development Products 

Define, design and build varied components of web-based and/or mobile applications 

Experience using WPF (Windows Presentation Foundation) to build Windows desktop applications is a plus 

Experience using JavaScript frameworks/libraries (Angular, React, JQuery, D3) is a plus 

Experience with SQL Server (relational databases) and no-SQL Databases (Apache Cassandra or similar) 

Strong analytical skills – be a problem solver and be able to develop complex algorithms 

Strong familiarity of software architecture, databases and design patterns 

Exposure or understanding of deploying applications on cloud platforms like Azure/AWS 

Experience : 5+Years 

Job Location : Remote 

Work Timings : 3pm- 12 am 

JOB DESCRIPTION

• Lead of IT team must guide & manage dev-ops, cloud system administrators, desktop support analysts and also assist in procure & manage assets.
• Design and develop a scalable IT infrastructure that benefits the organization.
• Take part in IT strategic planning activities that reflect the future vision of the organization.
• Introduce cost-effective best practices related to the needs of the business needs of the organization.
• Research and recommend solutions that circumvent potential technical issues.
• Provide high levels of customer service as it pertains to enterprise infrastructure.
• Review and document key performance metrics and indicators to ensure high performance of IT service delivery systems.
• Take charge of available client databases, networks, storage, servers, directories, and other technology services.
• Collaborate with the network engineer to design infrastructure improvements and changes and to troubleshoot any issues that arise.
• Plan, design, and manage infrastructure technologies that can support complex and heterogeneous corporate data and voice infrastructure.
• Execute, test and roll out innovative solutions to keep up with the growing competition technologies that can support complex and heterogeneous corporate data and voice infrastructure.
• Create and document proper installation and configuration procedures.
• Assist in handling software distributions and software updates and patches.
• Oversee deployment of systems and network integration in association with partner clients, business partners, suppliers and subsidiaries.
• Create, update, and manage IT policies.
• Manage, & drive assigned vendors. Perform cost benefit analysis and provide recommendations to management

* Bachelor’s or Master’s degree in computer science, information technology, electronics, telecommunications or any related field.

* Minimum 10 years of experience in the above mentioned fields.

• You have 2+ years of experience with production GCP/AWS; Experience with Kubernetes is a plus
• You have conducted penetration testing using different tools like Backtrack and Metaspoilt
• You have experience in developing security training and guiding the internal development teams
• You design and implement best practices concerning information security
• You can create programs to implement Identity and Access Management
• You have to develop automated security testing.
• You have to triage security issues and provide recommended fixes.
• You have conducted vulnerability assessments using various open-source and commercial tools.
• You are an excellent collaborator & communicator. You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company.

• Key Technical Skills: Deep experience on Performance Engineering with understanding of Java/J2EE technologies.
• Experienced in defining and realizing end-to-end Technical Architecture for large scale real- time enterprise systems. Ability to identify and define non-functional requirements and design systems to meet the same. 
• Ability to review existing Architectures and identify Risks, Trade-offs, and share recommendations for addressing the identified issues.
• Demonstrate strong understanding of cloud architecture considerations when scaling and tuning application deployments. Must have hands on experience working on any of the Cloud deployments on AWS or Azure. 
• Good experience on leveraging APM tools to provide deep dive analysis on performance problems. Deep understanding of the dashboards which can be built for CIO level interactions. Must have relevant experience on APM tools like Dynatrace or AppDynamics. 
• Experience in performance optimization of J2EE systems on any of different types of application servers - WebLogic, WebSphere, JBoss etc. Deep expertise in any one of the application servers is a must.
• Experience in creating and reviewing technical documents like Architecture blueprint, Design specifications, Deployment architecture.
• Experience on working on Performance Testing Projects. Fair understanding of Performance Testing tools - Apache JMeter /Gatling/ HP Load Runner for Load testing. Must be in a position to review Performance Testing programs and steer directions towards right Workload Model, appropriate Test and Monitoring Strategy, build performance models and derive at right Capacity Planning. 
• Experience in Big Data Analytics like - Apache Kafka, Apache Storm, Apache Hadoop, Apache Spark.
• Good skills in RDBMS like: Oracle, MS-SQL, MySQL, Cassandra, and Mongo DB 
• Exposure to Agile methodologies & Continuous Integration Tools 
• Entrepreneur / Intrapreneur (someone who has built technology teams ground-up, built new solutions from scratch) 
• Very sound understanding of technology and have a consultative approach. 
• Sound understanding of complex enterprise IT environment and issues faced by CIOs in the digital era. 
• Excellent Pre-sales experience and have played a key role in winning business along with the sales team. 
• Excellent communication, interpersonal, liaison and problem-solving skills with the ability to work in a multi-cultural environment 
• Good negotiation skills
• Go getter and results oriented 
• High energy level with ability to work well under pressure 
• Good relationship building skills. Someone who enjoys CIOs trust and has an ability to develop relationships at all levels (technology teams) of the customer organization.