11+ Marketing management Jobs in Bangalore (Bengaluru) | Marketing management Job openings in Bangalore (Bengaluru)

At Better, we are working hard to be the world's most loved skill learning platform & build the future of passion. We are here to do the best work of our lives, and together, we hope you are too. Come & help shape the future of inspiration & passion. As an early team member, you get to shape the direction of our products, company culture, hiring & product engineering practices.

-Kunal Sarkar (kunal) was recently Founder & CEO @ Lumosity, a global brain training product & is based in San Francisco. He is passionate about edtech & the holistic learning space.

We want to recreate the magic, and build the same customer obsession & product culture here. What is it like working at Better?http://bit.ly/3rjTllO"> Find out more on what we love, how we build products & books we dig.

Brand:http://pixical.com"> pixical.com

• Better Ed is backed by a top-tier VC firm.

About the role

• Own and drive a full-funnel global paid media strategy. You’ll define and shape our paid acquisition strategy, driving acquisition and assessing the full-funnel impact of our paid channels on activation, conversion, and retention.
• Experiment and test campaigns. You’ll design and execute on testing roadmaps to evolve new campaign strategies, measuring performance to achieve maximum returns in any paid spend.
• Analyze, assess performance, and iterate. You’ll analyze performance results, and make recommendations for decisions across spend, targeting, bidding, creative, landing pages, and more.
• Partner and collaborate cross-functionally. You are highly collaborative in your approach, and work closely with your counterparts across design, engineering, growth, and product.
• Be a leader in your craft. You’ll stay abreast of industry best practices, channels, strategies, and identify new opportunities for growth.
• As the senior most member of the Marketing and Growth team, you'll be expected to setup repeatable processes and helping us scale the function as we grow
• Problem solve some of the best consumer marketing problems on a global scale

What are we looking for?

• 5+ years working in the marketing or growth function, preferably in a startup.
• Proven experience in managing paid digital campaigns. You have a solid understanding of performance marketing, conversion, and customer acquisition.
• Hands on experience in Google Adwords and Display/Social ads is a must. Expertise in one of them is a pre-requisite.
• Experience in subscription businesses is a bonus (Free to Paid, Recurring constructs). Also, experience in web based marketing (we use app mostly for engagement, and most of our customers convert on the web - both desktop & mweb)
• You are a self-starter and can make decisions on your feet with minimal supervision, end-to-end ownership to drive outcomes.
• You possess deep customer empathy and love getting your hands dirty with data
• We are location agnostic, but in the same time zone (India). We have a small garden office @ Jayanagar, Bangalore (home to some of the best dosas in India) to jam together on anything that requires space.
• You are somebody who shares the same http://bit.ly/3rjTllO">ethos.

Bonus.

• You have interests outside work, in art, music, cooking, dance or any other similar skill.

• An initial 30 min call to understand each other at a high level.
• Work on a case study or assignment together to ensure a good match.

About PGAGI:

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

About the Role

We are at the forefront of building advanced AI systems — from fully autonomous agents that power intelligent customer interactions, to data analysis tools that deliver actionable business insights. This internship combines hands-on AI/ML engineering with robust backend development, giving you a complete picture of how production-grade AI systems are built, deployed, and scaled.

You will work across the full stack: designing and fine-tuning AI models on one end, and architecting the APIs, databases, and server-side infrastructure that bring those models to life on the other.

Key Responsibilities

AI / ML ENGINEERING

Design, experiment with, and fine-tune large language models (LLMs) and NLP pipelines for real-world use cases.

Develop and iterate on prompt engineering strategies to optimise model performance and output quality.

Integrate and deploy models using Hugging Face and OpenAI platforms; evaluate open-source alternatives.

Build deep learning workflows including training, evaluation, and continuous improvement loops.

Collaborate on data collection, preprocessing, and feature engineering for ML pipelines.

BACKEND ENGINEERING

Architect and develop scalable RESTful APIs and GraphQL endpoints using Node.js / FastAPI / Express.

Build and maintain full-stack features using Next.js (App Router), integrating server-side rendering, API routes, and React components.

Design and manage relational and NoSQL databases (PostgreSQL, MongoDB, or equivalent); write efficient queries and manage schema migrations.

Implement authentication, authorisation, and security best practices (JWT, OAuth 2.0, role-based access control).

Containerise services with Docker and contribute to CI/CD pipelines for reliable, automated deployments.

Integrate AI/ML model inference endpoints into backend services, handling async processing, queuing, and latency optimisation.

Write clean, well-tested, and well-documented backend code; participate actively in code reviews.

VERSION CONTROL & COLLABORATION

Use Git and GitHub for all version control workflows — branching strategies, pull requests, and code reviews.

Contribute to technical documentation, architecture decision records, and internal knowledge bases.

Duration & Compensation

Duration: 6 Months

Stipend: Base ₹8,000/month — up to ₹15,000/month based on performance

Post-Internship: Full-time opportunity as AI/ML Engineer (₹6–8 LPA) based on performance

Perks & Benefits

Hands-on experience shipping real AI products used by actual customers.

Mentorship from senior engineers and industry experts in AI/ML and backend development.

Exposure to the full development lifecycle — from model training to production deployment.

Collaborative, innovative, and flexible work environment.

Accelerated growth path with a clear route to a full-time engineering role.

How to Apply

Interested candidates are invited to submit their resume and complete the assignment using

the link : https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Shortlisted candidates will be contacted for an interview.

Selection Process

Initial Screening: We'll review your application for evidence of your skills, experience, and a strong foundation in AI.

Task Assignment: Candidates need to submit assignment which is already being attached in careers page , designed to assess your practical skills.

Performance Review: Our experts will evaluate your task submission, with excellence in this stage being crucial for further consideration.

Interview: Impressive task performers will be invited for an interview to discuss their potential contribution to our team.

Onboarding: Successful candidates will join our team, with exciting projects ahead

Requirements

MUST-HAVE SKILLS

Strong proficiency in Python for AI/ML development and scripting.

Solid understanding of JavaScript / TypeScript; experience with Node.js and Next.js (or a strong willingness to learn quickly).

Familiarity with REST API design principles and at least one backend framework (Express, FastAPI, Django, etc.).

Working knowledge of at least one database system (PostgreSQL, MySQL, MongoDB).

Experience with Git and GitHub version control workflows.

Exposure to AI/ML platforms such as Hugging Face and OpenAI.

Understanding of prompt engineering concepts and the model fine-tuning process.

GOOD TO HAVE

Hands-on experience with Next.js App Router, React Server Components, or similar modern full-stack frameworks.

Familiarity with Docker, basic DevOps concepts, or cloud platforms (AWS, GCP, or Azure).

Experience with message queues (Redis, RabbitMQ) or background task processing.

Knowledge of LLM orchestration tools such as LangChain or LlamaIndex.

SOFT SKILLS & MINDSET

Strong problem-solving instincts and a genuine curiosity about AI technology.

Ability to own tasks end-to-end and communicate progress clearly.

Comfortable working in a fast-moving environment where requirements evolve.

A growth mindset — eager to learn, receive feedback, and level up continuously.

TECH YOU'LL WORK WITH

Python

Next.js

Node.js

FastAPI

LLMs / NLP

PostgreSQL

React

Docker

HuggingFace

OpenAI API

GitHub

REST / GraphQL

Apply now to embark on a transformative career journey with PGAGI, where innovation and talent converge!

#artificialintelligence #Machinelearning #AI #AIML #LLM #FastAPI #NLP #openAI #AImodels #AIMLInternship #AIintern #Internship #aimlgraduate #Python

About the Role

CLOUDSUFI, a Google Premium Partner specializing in data and AI solutions, is seeking a Staff / Principal Tech Lead to drive the technical execution of our Google Data Commons program. This is a high-visibility, horizontal leadership role embedded within the Google ecosystem — based physically at Google's Bangalore office — working in close daily collaboration with Google's core Data Commons engineering team. The Tech Lead is the technical spine of the engagement. They sit across all four delivery areas — Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure — providing architectural direction, resolving cross track dependencies, and ensuring the quality and coherence of everything we ship. Equally critical is the ability to represent CloudSufi in a credible, articulate, and collaborative manner to Google counterparts at every level.

This is a genuinely hands-on role: the successful candidate must be able to write, debug, and reason about Python and GCP code themselves — not only direct others or lean on AI coding assistants — and must be comfortable operating in an open-source, public-data environment without relying, for example, on Google internal (google3) tooling.

Technology Stack & Domain Knowledge

Core / Must-Have

• Relevant experience on Knowledge Graph, Statistical Data and Analytics (any experience with Google Data Commons is a nice to have, but not required)

• Google Cloud Spanner – schema design, distributed transactions, interleaved tables, and performance tuning at scale.

• Google BigQuery – data modeling, partitioning/clustering strategies, query optimization, and integration with downstream consumers.

• Data pipelines – Apache Beam / Dataflow, or equivalent GCP-native ETL tooling.

• Infrastructure as Code – Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run.

• Demonstrable, autonomous hands-on proficiency in Python and native GCP tooling — able to code and debug independently in a live technical discussion, with AI-assisted development as a complement to (not a replacement for) that proficiency.

• Direct experience working with open, public, and unstructured datasets (e.g. sourcing, cleaning, and integrating public statistics or open data feeds) using open-source or standard GCP-native tooling.

• Solid grounding in knowledge graph vs data warehouse principles, and how to design for schema and data drift in an open-source knowledge graph context.

• CI/CD experience and working with GitHub

• Full stack experience, specially with data centric apps/systems Strong Advantage

• Python (primary language for Data Commons import tooling and ML pipelines).

• TypeScript / React for the Data Commons web frontend and visualization layers.

• Vertex AI, BigQuery ML, or equivalent ML lifecycle tooling.

• Knowledge graph principles, RDF/SPARQL, or statistical data modeling.

• DataCommons Python / REST APIs and the DCID import automation tools.

• Experience with Google's internal engineering culture, tools (e.g. Buganizer, Critique, Cider), or prior delivery inside a Google product or partnership engagement.

Experience & Qualifications Required

• 10+ years of software engineering experience, with at least 3 years in a formal or informal tech lead capacity overseeing multiple workstreams.

• Demonstrable experience delivering production-grade systems on Google Cloud Platform.

• Prior experience working with or for Google — as a Googler, through a Google partnership program, or as a contractor embedded in a Google team — is strongly preferred.

• Exceptional verbal and written English communication skills; able to engage confidently with senior Google engineers and program managers.

• Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.

• Based in Bangalore, India, and able to work on-site at Google's Bangalore office on a regular basis.

• Able to read and interpret an RFP / SOW and connect its terms to a workable technical delivery plan. 

Dear Candidate,

We are Urgently hiring QA Automation Engineers and Test leads At Hyderabad and Bangalore

Exp: 6-10 yrs

Locations: Hyderabad ,Bangalore

JD:

we are Hiring Automation Testers with 6-10 years of Automation testing experience using QA automation tools like Java, UFT, Selenium, API Testing, ETL & others

Must Haves:

·        Experience in Financial Domain is a must

·        Extensive Hands-on experience in Design, implement and maintain automation framework using Java, UFT, ETL, Selenium tools and automation concepts.

·        Experience with AWS concept and framework design/ testing.

·        Experience in Data Analysis, Data Validation, Data Cleansing, Data Verification and identifying data mismatch.

·        Experience with Databricks, Python, Spark, Hive, Airflow, etc.

·        Experience in validating and analyzing kubernetics log files.

·        API testing experience

·        Backend testing skills with ability to write SQL queries in Databricks and in Oracle databases

·        Experience in working with globally distributed Agile project teams

·        Ability to work in a fast-paced, globally structured and team-based environment, as well as independently

·        Experience in test management tools like Jira

·        Good written and verbal communication skills

Good To have:

• Business and finance knowledge desirable

Best Regards,

Minakshi Soni

Executive - Talent Acquisition (L2)

Worldwide Locations: USA | HK | IN 

Summary of Role

We are looking for a passionate and skilled Product Manager, we expect you to bring a fresh pair of eyes for both product planning and product marketing. This includes managing the product throughout the Product Lifecycle, gathering and prioritizing product and customer requirements, defining the product vision, and working to deliver winning products. 

Must Have Background for this Role:

• Min 4-6 years of strong experience in product management role.
• Bachelor’s degree (MBA preferred)

Required Skills for this Role: 

• Define the product strategy and roadmap
• Build innovative financial products in a cross-functional team. Deeply understand the needs and problems of our users. 
• Develop product positioning strategies.
• Work closely with engineering to ensure developers understand the required functionality and are building the right functionality to meet the market need and are easy to implement and maintain.
• Recommend and drive implementation of improvements to the product development process
• Document and manage the user experience.
• Proven problem-solving capabilities.
• Deliver a monthly revenue forecast.

Also Nice to Have Skills and Background: 

• Excellent written and verbal communication skills 
• Excellent teamwork skills
• Demonstrated success defining and launching excellent products

• 4+ years of experience with Node.js
• Expertise in Typescript, AWS, Firebase, MongoDB, and Express

You will be bringing:

• Hands-on experience in writing applications using Node.js (including Socket.io and Express or similar)
• Excellent knowledge of a few of the available databases such as MySQL, MongoDB, etc.
• Proficiency in application deployment on Linux or Ubuntu environments
• Proficiency in JavaScript languages like React and/or Angular, along with a comprehensive experience in open-source frameworks
• Experience in server-client architecture project(s)
• Ability to prioritize in a chaotic and ambiguous environment
• An open, growth mindset when giving and receiving feedback

Experience: 9 to 16 Yrs

Notice Period: Immediate to 15 days

Job Description:

- The Lead Engineer is responsible for deriving the technical architecture, detailed design, implementation, Performance, and Scalability of the developed system.

- The individual should be capable of single-handedly understanding the requirement, liaison with the product owner and external teams; produce the technical output required.

- Strong Leadership skills to contradict, produce a new design to current trends is required.

- Should be an avid technology enthusiast with strong views on technical architecture.

Technical Skills:

1) Strong Python and Mongo DB is mandatory

2) Web Application Architecture - One Large Project Experience of Development & Maintenance

3) Knowledge in one or more frameworks like WSGI(uwsgi), Django, Flask, Web Application development

4) Exposure to Databases like MongoDB, BigQuery, Elastic Search, Redis, etc.,

5) Knowledge of Code Quality Process and Discipline (Git, Jenkins, etc)