About Blenheim Chalcot 

Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. 

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Decision Analytics team sit with a goal to drive intelligent decision-making by applying advanced statistical analytics to a wealth of data. At the heart of the Risk function, our focus is to deliver high-quality instant decisions for our customers around the world.

Risk team is a globally team with offices in London, Nottingham and Atlanta US, covers Decision Analytics, Portfolio Management, Underwriting and Collections. We're on a mission to grow Liberis into the world's leading embedded business finance provider, and we're looking for a Decision Analytics Manager to help us make that happen!

The Role

Are you passionate about tackling complex challenges? Do you crave autonomy and the chance to innovate? If you're eager to make a real impact in finance that supports small businesses rather than just chasing profit, this is the perfect role for you.

You will own and evolve the automated credit decision policy across partners and products. You will be responsible for driving high auto-decision rates while maintaining competitive approval rates and robust risk performance. The role combines hands-on analytics with strategic ownership of acquisition decision strategies, monitoring frameworks, and model governance. This position is primarily a hands-on analytical role (70% individual contributor) while also mentoring and supporting junior team members (30% management). 

If you’ve got experience in an analytical role, using statistical tools to shape strategy, and the ability to turn data into clear, actionable insights, we want to hear from you.

What you’ll be doing

• Lead the development and optimisation of global decisioning strategies
• Own the automated decision policy framework and continuously enhance strategies to improve auto-decision rates and maintain competitive offerings.
• Work closely with the AI-ML team, playing a governance role in new model development, model approval and ongoing model monitoring
• Contribute to the development and enhancement of credit risk models
• Develop, own and enhance acquisition monitoring and performance reporting to track decision quality and risk performance
• Explore new and current data sources to optimise decisioning policy
• Mentor and support junior members within the team
• Collaborate with key risk stakeholders to maintain an acceptable risk level in a fast-evolving environment
• Represent Risk to the wider business, collaborating with Product and Commercial teams to unlock business value

What we think you’ll need

• 5+ years of experience in a relevant analytical, credit risk or decision science role
• 2+ years of experience working as a Decision Scientist or Data Scientist.
• A strong analytical mindset with a passion for turning complex data into insights
• The ability to communicate your findings clearly and effectively

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Decision Analytics team sit with a goal to drive intelligent decision-making by applying advanced statistical analytics to a wealth of data. At the heart of the Risk function, our focus is to deliver high-quality instant decisions for our customers around the world.

Risk team is a globally team with offices in London, Nottingham and Atlanta US, covers Decision Analytics, Portfolio Management, Underwriting and Collections. We're on a mission to grow Liberis into the world's leading embedded business finance provider, and we're looking for a Decision Analytics Manager to help us make that happen!

The Role

Are you passionate about tackling complex challenges? Do you crave autonomy and the chance to innovate? If you're eager to make a real impact in finance that supports small businesses rather than just chasing profit, this is the perfect role for you.

You will own and evolve the automated credit decision policy across partners and products. You will be responsible for driving high auto-decision rates while maintaining competitive approval rates and robust risk performance. The role combines hands-on analytics with strategic ownership of acquisition decision strategies, monitoring frameworks, and model governance. This position is primarily a hands-on analytical role (70% individual contributor) while also mentoring and supporting junior team members (30% management). 

If you’ve got experience in an analytical role, using statistical tools to shape strategy, and the ability to turn data into clear, actionable insights, we want to hear from you.

What you’ll be doing

• Lead the development and optimisation of global decisioning strategies
• Own the automated decision policy framework and continuously enhance strategies to improve auto-decision rates and maintain competitive offerings.
• Work closely with the AI-ML team, playing a governance role in new model development, model approval and ongoing model monitoring
• Contribute to the development and enhancement of credit risk models
• Develop, own and enhance acquisition monitoring and performance reporting to track decision quality and risk performance
• Explore new and current data sources to optimise decisioning policy
• Mentor and support junior members within the team
• Collaborate with key risk stakeholders to maintain an acceptable risk level in a fast-evolving environment
• Represent Risk to the wider business, collaborating with Product and Commercial teams to unlock business value

What we think you’ll need

• 5+ years of experience in a relevant analytical, credit risk or decision science role
• 2+ years of experience working as a Decision Scientist or Data Scientist.
• A strong analytical mindset with a passion for turning complex data into insights
• The ability to communicate your findings clearly and effectively

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Location: India (Mumbai/Pune/Hyderabad/Chennai/Bengaluru) - Remote
Experience: 4-8+ Years 
Type: Individual Contributor

About the Role

We are looking for an experienced and high-impact Senior Technical Recruiter to join our growing Talent team. This is a full-cycle, individual contributor role responsible for driving end-to-end recruitment for technical positions across the organization.

The ideal candidate brings strong sourcing depth, structured problem-solving, stakeholder management expertise, and proven closing ability. You will operate in a fast-paced, high-growth environment where ownership, urgency, and quality are equally important.

What You’ll Do

• Own and manage the full recruitment lifecycle for technical roles
  
  
• Conduct intake meetings and define hiring strategy with stakeholders
  
  
• Build proactive sourcing strategies using LinkedIn Recruiter, Naukri, GitHub, referrals, and niche platforms
  
  
• Screen and evaluate candidates for technical capability and culture fit
  
  
• Manage the interview process and ensure a seamless candidate experience
  
  
• Drive stakeholder alignment and influence hiring decisions
  
  
• Lead offer negotiations and candidate closing conversations
  
  
• Provide market intelligence (compensation benchmarks, talent mapping, competitor insights)
  
  
• Track pipeline metrics and maintain ATS hygiene (Greenhouse preferred)
  
  
• Continuously improve hiring processes for speed and quality
  
  

What We’re Looking For

Experience

• 4 - 8+ years of technical recruitment experience
  
  
• Proven experience managing full-cycle hiring independently
  
  
• Experience hiring for Engineering, AI/ML, Corporate roles, Data, Security, or other technical roles
  
  
• Experience in startup or high-growth environments preferred
  
  
• Exposure to India/US/global hiring is a strong plus
  
  

Core Competencies

Technical / Hard Skills

• End-to-end technical recruiting
  
  
• Advanced sourcing expertise (Boolean search, LinkedIn Recruiter, GitHub, talent mapping)
  
  
• Market intelligence and pipeline building
  
  
• Offer negotiation and candidate closing
  
  
• ATS experience (Greenhouse preferred)
  
  
• Data-driven recruitment and metric tracking
  
  

Soft Skills

• Strong stakeholder management and influencing skills
  
  
• Structured problem-solving ability
  
  
• Ability to operate at startup speed
  
  
• Resilience and ownership mindset
  
  
• Comfort with ambiguity and competing priorities
  
  
• High accountability and execution focus
  
  

Ideal Background

We encourage applications from recruiters who have worked in:

• High-growth startups
  
  
• SaaS or product-based companies
  
  
• Tech-first organizations
  
  
• IT services firms with strong technical hiring exposure
  
  

Ideal candidates have hired for Engineering, AI/ML, Corporate roles, Data, or Security roles, and are comfortable operating in high-velocity hiring environments.

MongoDB's Application Modernization Platform (AMP) team aims to grow the adoption of MongoDB by accelerating the rate at which legacy applications built on RDBMS can be modernized to MongoDB. The AMP team uses a combination of proprietary GenAI and deterministic tools combined with modernization techniques (methodologies) developed over numerous customer engagements to modernize legacy applications to MongoDB. This involves modernizing both the application tier by decomposing the legacy application into services and building modern services on MongoDB. Our modernization methodologies involve apply specialized tools that automate a wide variety of modernization tasks including analyzing legacy code bases to figure out how to disaggregate them, transforming legacy code (PL/SQL, T-SQL, Java, C#) to modern application frameworks on MongoDB, automated test generation, and side-by-side testing (legacy vs. modern).  

We are looking for a Principal Solutions Architect to support the sales and delivery of modernization engagements. Candidates must be located in Bengaluru, Mumbai or Gurugram  near an airport that will enable them to easily visit customer sites in APAC.

This role can be based remotely in Bengaluru, Mumbai or Gurugram.

Roles Responsibilities

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience with modern software development processes and application architectures including (not an exhaustive list): agile development, domain driven design, microservice architectures, test-driven development, event-driven architectures, operational data layers, test automation, etc
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Experience installing and delivering complex demonstrations consisting of multiple applications deployed on Docker and Github Codespaces
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 426250

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

     Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

• Prototype rapidly

     Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

• Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
• Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
• Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
• Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
• Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
• Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

• Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
• Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

• Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
• 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

• Experience with REST APIs, JSON, cloud SDKs
• Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
• Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

• Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
• Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
• Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

• Proficient with LLM APIs     including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
• Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

• GitHub / Git proficiency:

     Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

• Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
• Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

• Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
• Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
• Background in contact centre, CX, or enterprise SaaS environments.
• Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

Your Role

We’re looking for an Engineering Manager to join our first product teams in Mumbai. You’ll be improving the operations of our internal team of sports analysts across Hudl Assist, Wyscout, InStat and Volleymetrics products. These products are used by thousands of teams around the world, from youth clubs to the pros. 

Example projects might include:

• Improving the tools used to deliver training to sports analysts
• Instrumenting our processes to facilitate continuous improvement for our operations team
• Iterating on manual data collection workflows to improve speed and accuracy
• Automating workflows using AI/ML, reducing manual effort, and improving scalability of our data pipelines

As an Engineering Manager, you’ll

• Be responsible for a diverse team. You’ll support your Engineers as they develop, test and maintain technical solutions. You’ll be a working manager, expected to balance management responsibilities with code contributions to ensure the team meets its commitments and delivers business impact.
• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver product improvements for our customers. With our global team, these team members and stakeholders are located all over the world—so you may need to work evenings occasionally.
• Help improve analysis. You’ll work to improve training tools, processes and manual data collection workflows used by our sports analysts to improve their speed and accuracy.
• Automation & AI/ML. You’ll also play a key role in evolving our workflows through automation and AI/ML, helping reduce manual effort and improve scalability across our operations"

This role requires 4 days in the office per week, so we're currently considering candidates who live within a commuting distance of our offices in Mumbai.

Must-Haves

• Formal management experience. You have multiple years of experience managing Software Engineers and know how to guide teams to deliver business impact. You’ve taken the lead on tackling ambiguous technical challenges, proposing solutions to upcoming problems, and providing technical input on others’ work.
• Experience in mature, full-stack web applications. You’ve spent several years in a role, or roles, that had you building across all levels of a web application, from the client-side code, all the way down to the database. You have a professional background in TypeScript, React, GraphQL, C#, Java, PHP, MongoDB, MySQL and/or AWS
• English language proficiency. You have strong verbal and written communication skills. 
• Flexible schedule. We strive to maintain a healthy work-life balance, but in this role, it’s necessary to overlap your schedule with stakeholders and collaborators across time zones.

 Nice-to-Haves

• Experience working with AI/ML systems, particularly in applying models to automate workflows or process large datasets

Our Role

• Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., national and public holidays and timeout (meeting-free) days) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas.
• Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. We'll also provide you the tech stack and hardware to do your best work.
• Cover your medical insurance. Comprehensive medical insurance for employees, with partial reimbursement available for dependent coverage.
• Retiral benefits. We offer a Provident Fund and Gratuity.

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: India
Travel: 20% travel domestically and globally
Job ID:  1403

We're seeking a Head of Machine Learning to own and scale the ML function at Prodigal. This is the senior-most ML role in the company — partnering directly with the CTO as a peer technical leader, defining the multi-year ML vision, building and leading a world-class team, and translating cutting-edge research into production systems that move the needle for over 100 customers and millions of consumers. You'll set the bar for technical excellence, hire and develop the next generation of ML leaders, and shape what consumer finance intelligence looks like over the next decade. If you've operated at this level before — or are ready to step into it at a company where ML is the engine of the product — we want to talk.

Responsibilities:

• Own the ML function end-to-end — vision, roadmap, team, delivery, and measurable business impact across classical ML, NLP, GenAI, and Agentic AI
• Partner with the CTO as the senior ML leader to set company-wide technical direction and shape the long-term roadmap for Prodigal's Intelligence Engine
• Build and lead a high-performing ML organization — hire, mentor, and develop ML engineers, applied scientists, and tech leads across multiple pods
• Translate research into product — drive the application of LLMs, Agentic AI, the modern NLP stack, recommendation systems, and classical ML into production systems serving 100+ customers
• Set technical standards for model development, deployment, monitoring, evaluation, and experimentation that scale across the org
• Architect data and ML infrastructure in partnership with the platform and engineering teams to support large-scale training and reliable, low-latency inference
• Communicate strategy and outcomes clearly to the founders, board, customers, and broader engineering organization
• Represent Prodigal externally — at conferences, in research collaborations, and as a senior voice in the consumer finance AI community
• Stay at the frontier of ML and GenAI research, identifying where new techniques unlock product and business advantage
• Collaborate cross-functionally with product, engineering, GTM, and customer success leaders to ensure ML investment ties directly to revenue, retention, and customer outcomes

Requirements:

• 10+ years of experience in machine learning and software development at a tech or product company, with 4+ years leading ML teams (managing engineers and/or tech leads)
• Proven track record of shipping ML products in production at scale with measurable business impact
• Deep technical fluency across classical ML, deep learning, and the modern NLP/LLM stack — you can still go deep in design reviews, not just review at the surface
• Strong coding skills in Python. Hands-on with PyTorch, scikit-learn, Pandas, and Spark
• Demonstrated success hiring, mentoring, and growing ML talent — including team leads and senior engineers
• Strong executive communication and the ability to set technical direction with founders, peers, and the board
• A bias for outcomes — you connect model work to revenue, engagement, and operational metrics

Preferred Qualifications:

• Experience as a founding ML hire, ML lead, or applied science leader at a high-growth AI/ML product company
• Background in voice AI, conversational AI, speech, NLP on unstructured text, or fintech/lending domains
• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems
• Track record of running A/B testing and experimentation programs at scale
• Patents, publications, or open-source contributions; strong institutional pedigree (IIT, BITS, NIT, IISc)
• Experience scaling an ML org through a hypergrowth phase

Job Benefits

• GenAI at the core – Lead the ML function at a company where AI isn't a feature, it's the product. Shape groundbreaking work that redefines consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that's Nimbu Pani).

Meet Sangram (Cofounder and CTO) and hear his vision for Prodigal: https://www.youtube.com/embed/FTWlN9fwiIA?feature=shared

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. 
 
Your future role within QRT: 

• Drive joint research projects, PhD collaborations, and knowledge-exchange programs that advance academic excellence.
• Partner with Research and Technology Leads to identify academic expertise and emerging research areas and drive regular project reviews with constructive feedback to build strong technical and research capabilities.
• Build and nurture strong partnerships with leading premier universities, academic institutions, and research groups.
• Position the firm as a trusted partner for advanced research, fostering both applied and theoretical collaborations.
• Design and deliver high-quality training across quantitative methods, programming, engineering practices, and applied research.

Your present skillset: 

• PhD in mathematics, statistics, machine learning, finance, computational finance.
• Demonstrated expertise and a minimum of 3 years' experience in quantitative research methods, such as optimization, statistical modelling, portfolio construction or factors/empirical asset pricing.
• Proficiency in Python, with a hands-on approach to coding, data analysis, and research implementation.
• Excellent communication skills, with the ability to present complex concepts clearly to both technical and non-technical audiences.
• A strong interest in teaching, mentoring, and capability development, with a collaborative and enablement-focused mindset.
• Active engagement with the academic and research community, including experience in building and maintaining external collaborations.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT: 

• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behavior and model performance over time within your strategies. 
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset: 

• Min 3 years of relevant experience with strong track record.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT: 

• Your core objective is to create high quality predictive signals. 
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities. 
• Share and discuss research results, methodology, data sets and processes with other researchers. 
• Implement the signals and the relevant datasets within the global execution platform. 
• Monitor signal behavior and model performance over time within your strategies. 

Your present skillset: 

• Proven track record in delivering successful Crypto systematic strategies. 
• Minimum 2 years of experience in the financial industry.  
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering. 
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus. 
• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail. 
• Good fundamental crypto knowledge is a plus. 
• Experience with one or more of the below is a plus: 
• Crypto specific data sets, DeFi, latency-sensitive, ML/AI or strategies in production  
• Coding skills required in at least one leading programming language, Python preferred, C++ is beneficial. 
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields. 
• Capacity to work with autonomy within a collegial and collaborative environment. 
• Strong capacity to communicate with technologists, data scientists and traders across the globe. 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance. 

Department: Banking & Settlements

Reporting to: VP Settlements

Role Purpose

We’re seeking an experienced Payments Transformation Manager – AI & Automation who will play a key role in optimizing Boku’s operational framework across digital wallets, local payment methods, and carrier billing. You’ll work closely with Commercial, Finance, Tax, Product, and Engineering teams to understand the end-to-end payment setup, identify operational gaps, and drive automation or eliminate obsolete processes — ensuring Boku’s operations remain efficient, compliant, and scalable.

Key Responsibilities

• Lead Payment Operations Transformation: Own and drive transformation initiatives across Payment Operations, focusing on process redesign, automation, and AI-led optimization to improve scalability, efficiency, and control.
• Design and Implement Automation Solutions: Take a hands-on approach in identifying manual workflows and building solutions using automation tools, AI platforms, macros (e.g., Excel/VBA), and low-code/no-code technologies to eliminate inefficiencies and reduce operational overhead.
• Act as a Strategic Transformation Partner: Represent Payment Operations in cross-functional initiatives (Product, Engineering, Commercial, Finance), ensuring new implementations (networks, partners, merchants) are designed with scalable, automated, and future-ready operational models.
• Embed Scalable Operational Design: Ensure all new payment integrations and launches are operationally robust, minimizing manual intervention and enabling long-term scalability from day one.
• Leverage Data, Tooling, and AI for Continuous Improvement: Use data analysis, scripting, and AI-driven insights to proactively optimize transaction flows, reconciliation processes, exception handling, and reporting.
• Maintain Deep Payment Operations Expertise: Bring strong domain knowledge across digital wallets, local payment methods, and carrier billing to inform both transformation initiatives and operational decisions.
• Collaborate Cross-Functionally for End-to-End Optimization: Partner with Commercial, Finance, Tax, Product, and Engineering teams to improve settlement flows, reconciliation accuracy, cash flow management, and operational efficiency.
• Own Operational Processes and Outcomes: Oversee key processes including transaction processing, settlements, reconciliations, chargebacks, and exception management, ensuring stability while driving continuous improvement.
• Manage and Evolve Partner Operations: Build and maintain relationships with payment service providers, digital wallet partners, MNOs, and acquirers, while evolving operational processes in line with partner capabilities and business growth.
• Ensure Compliance and Operational Controls: Maintain adherence to regulatory and internal requirements (AML, PSD2, local regulations) while embedding controls into automated and transformed processes.
• Define and Track Performance Metrics: Establish and monitor KPIs (e.g., transaction success rates, reconciliation accuracy, settlement timeliness), using insights to drive measurable transformation outcomes.

Key Skills and Competencies

• Experience of at least 8-12 years in payment operations, treasury, or transaction management — ideally in fintech, digital payments, or telecom billing.
• Experience in using AI tools to transform and automate processes
• Strong understanding of digital wallets, local payment methods, and carrier billing ecosystems.
• Knowledge of cross-border payments, FX flows, and multi-currency settlements.
• Skilled in payment gateway operations, reconciliations, and ERP/ledger tools.
• Excellent problem-solving, analytical, and process improvement abilities.
• Proven ability to work cross-functionally with Commercial, Finance, and Tax teams.
• Strong stakeholder management and communication skills.
• Experience leading or mentoring teams in fast-paced environments.

Qualifications

• MBA preferred, particularly for candidates with experience applying structured business and operations frameworks in fintech or payments environments.
• AI-related certifications (e.g., machine learning, data science, AI product, or automation platforms) are preferred.

About the Role

We are seeking an experienced and driven Area Sales Director to join our India Sales team, with a focus on expanding within existing customers and landing new strategic logos across key industries.

This is a senior leadership role responsible for delivering growth through a team of quota-carrying Enterprise / Strategic Account Executives, who specialise in both account expansion (upsell/cross-sell) and net new logo acquisition, supported by a partner-first go-to-market strategy.

You will play a critical role in shaping strategy, coaching your team, and partnering cross-functionally to ensure and predictable, sustainable revenue growth.

What You Will Be Doing

• Ideate, build and execute a Go to Market strategy in in your assigned sales segment across India
• Lead and manage your Enterprise / Strategic Sales team in India, overseeing day-to-day operations, performance, and development.
• Drive growth within existing Enterprise and Strategic accounts, with clear strategies for upsell, cross-sell, and multi-year expansion.
• Coach and mentor your team to land new strategic logos by building executive relationships, driving differentiated value, and shaping long-term digital transformation roadmaps with customers.
• Engage key SIs, partners, cloud providers and distributors for joint business planning, demand creation, opportunity execution and scale, aligned to our partner-first GTM.
• Hire, motivate, mentor and develop a high-performing sales team, raising the bar on sales excellence, deal strategy, and execution.
• Provide direction and leadership, fostering tight collaboration with Presales, Business Development, Marketing, Alliances, Customer Success and our Partner ecosystem.
• Own demand generation and pipeline discipline: ensure monthly pipeline creation, sufficient pipeline coverage, and attainment of pipeline generation targets and revenue bookings quota.
• Maintain accurate and up-to-date Salesforce hygiene across the team and provide reliable, insight-led forecast information to leadership.
• Actively support complex, strategic opportunities, including deal strategy, commercial structuring, and building executive-level relationships with C-suite stakeholders.
• Lead territory and account planning, ensuring focus on the highest-potential accounts, industries, and buying centers.
• Collaborate closely with extended teams (pre-sales, services, training, legal, renewals, partners) to ensure successful adoption, value realisation, and long-term customer advocacy.
  
  

You Will Be a Great Fit for Us If You Have:

• 20+ years of experience selling B2B SaaS solutions, with deep exposure to complex, multi-stakeholder Enterprise sales cycles.
• Minimum 5 years of experience leading high-performing SaaS sales teams, ideally focused on Enterprise and/or Strategic accounts.
• A proven track record of consistently meeting or exceeding revenue targets across both net new and expansion motions.
• Exceptional leadership and influencing skills, with the ability to build trusted relationships internally (across cross-functional teams) and externally (C-level and senior stakeholders).
• Strong business planning capabilities — able to set clear goals, define territory and account strategies, track progress, identify risks/blockers, and drive corrective actions.
• A professional, polished presence with excellent verbal and written communication skills; confident in presenting to C-suite (CEO, CFO, CIO, CISO, CTO) and senior business leaders.
• Deep mastery of consultative and solution selling methodologies such as MEDDPICC, Challenger, Solution Selling, Sandler, or similar frameworks.
• Comfort and credibility in engaging executive stakeholders around identity, security, digital transformation and business outcomes.
• Strong operational rigor, with a focus on building scalable processes, improving forecast accuracy, and bringing structure to a growing organisation.
• An innovative and growth-oriented mindset — not afraid to challenge the status quo, experiment, and bring fresh ideas to how we win in Enterprise and Strategic accounts.
• A Bachelor’s or Master’s degree, or a demonstrated commitment to ongoing learning and professional development.

#LI-Remote

(P24228_3341135)

We are hiring Senior / Lead Engineers to design, build, and scale robust, production-grade data and platform systems for a product portfolio within Blenheim. This is a hands-on engineering role where you will own complex problem areas end-to-end, influence system architecture, mentor engineers, and deliver scalable solutions in a fast-growing, product-led environment.

If you enjoy working with ambiguity, building platforms from the ground up, and shipping real business impact, we’d love to hear from you.

About Blenheim Chalcot:

Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million.

The Role:

As a Senior / Lead Engineer, you will play a key role in designing and delivering scalable systems across core platforms. You will collaborate closely with Product, Data, and Engineering teams in Mumbai and London, helping shape technical direction while remaining hands-on.

Key Responsibilities:

Successful candidates will take a leading role within our Engineering Centre of Excellence in Mumbai, with day to day responsibilities which will include.

• Lead and mentor a team of engineers, fostering a culture of collaboration and continuous improvement.
• Oversee the planning and execution of projects, ensuring alignment with business objectives and timelines.
• Provide technical guidance and expertise to the team, promoting best practices in engineering.
• Collaborate with cross-functional teams to understand requirements and deliver effective solutions.
• Implement and maintain ELT (Extract, Load, Transform) processes using scalable pipelines and data architecture.
• Ensure data integrity and quality across various data sources.
• Support data-driven decision-making by providing clean, reliable, and timely data.
• Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data.
• Conduct exploratory data analysis to uncover patterns and trends.
• Identify opportunities for process improvement and drive continuous improvement in operations.
• Stay updated on industry trends, technologies, and best practices in engineering.

About You:

We are seeking to onboard candidates with a track record of leading complex delivery, demonstrating technical depth and pragmatic leadership. You’re hands‑on when it matters, coach others effectively, and make clear design trade‑offs that improve customer and business outcomes. You communicate crisply, collaborate across functions, and keep teams focused on the few things that move the needle.

The Ideal Candidate:

• Professional experience in full-stack software engineering with evidence of architecting and delivering production systems at scale.
• Proven experience mentoring and developing engineers and raising code quality standards.
• Strong proficiency in one or more programming languages commonly used in engineering, such as Python or Java.
• Extensive experience with database systems, including SQL and NoSQL databases.
• In-depth knowledge of cloud data platforms like AWS or Azure (e.g., S3, Redshift, Glue, Data Factory, Azure Synapse, etc.).
• Experience with CI/CD practices for data solutions.
• Experience leveraging AI tools (GitHub Copilot, Claude etc) and building AI-enabled features (e.g., LLMs, automation workflows, prompt engineering, AI-assisted development) to enhance product capabilities and engineering productivity.
• Proven ability to take ownership over outputs and drive complex data projects to completion.
• Highly adaptable and comfortable working in ambiguous, problem-solving environments.
• Strong evidence of teamwork and successful cross-functional delivery; including particularly with customers, Product, Marketing, and Sales.
• Excellent communication, leadership, and collaboration skills.
  

Behaviours that we look for 

• Rigorous problem-solving and systems thinking. Breaks down complex problems, evaluates multiple approaches, and designs scalable, maintainable architectures.
• Clean, performant, and secure code. Chooses suitable data structures, writes readable & defensive code, and bakes in performance and security from the start.
• Test-first and observable engineering. Designs for testability, automates meaningful unit/integration tests, and implements robust logging, metrics, and monitoring.
• Production and operations excellence. Understands CI/CD, infrastructure and cost drivers, engineers for reliable development, resilience, and fast recovery.
• Data-driven, outcome-focused decisions. Validates ideas with data, plans for schema evaluation, and aligns features with real user impact.

Process - We have a rigorous, but streamlined recruitment process, which respects the time of candidates and portfolio companies alike. This process starts with a 15-minute call with our Talent Acquisition team and a member of the Engineering Centre of Excellence, followed by further interviews with the Engineering Centre of Excellence team.

Please note that our roles are primarily office based, with modern and well-connected office locations in both Andheri East and Navi Mumbai.

#LI-PS1

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.

Senior Sales Manager — InMobi Ads West Region

Is this role for you?

• Do you have hands-on experience selling digital / mobile advertising?
• Do you understand the programmatic advertising ecosystem?
• Do you have an active agency network in the West India market?
• Have you directly sold branding or performance solutions to advertiser decision-makers?
• Can you show a consistent track record of meeting or exceeding revenue targets?

The Sales Manager drives new account acquisition and grows incremental revenue against a targeted list of high potential agencies through engagement. In conjunction with the Central teams and Account Managers, the Sales Manager develops quality customer plans laying out revenue and customer satisfaction growth strategies. Success is measured by specific key performance indicators focused on driving product adoption, emphasizing customer experience and optimizing opportunities. In addition, the Sales Manager builds and maintains a pipeline of clients and agencies new to the InMobi Ads proposition.

What is expected out of you?

• Healthy predictable pipeline to deliver quota expectations: Consistently create high value revenue-generating opportunities. Lead regular, impactful engagements with key clients.
• Grow InMobi Ads' share of wallet across client portfolio by highlighting missed opportunities around Branding activities. Create a convincing storyline and pitch which will help client-side decision makers to meet or exceed their marketing goals.
• Leverage current relationships in the advertising ecosystem to drive adoption conversations as well as open up new relationships in the industry.
• Forge relationships with client-side marketing heads and build industry presence for yourself and the products.
• Fluent advocate of the InMobi Story: Educate clients on how InMobi Ads features and offerings help them reach their business goals and new markets/targets. Utilize all available readiness materials (inclusive of Marketing materials, Training & other GTM assets) and insights to ensure you are a fluent advocate of the InMobi Ads story. Develop and demonstrate an intermediate to expert level knowledge of emerging products/features.
• Strong customer and partner planning: Develop and maintain high quality, actionable Customer Plans (where applicable) and Joint Business Plans (where applicable). Demonstrate a deep understanding of customer needs, challenges/concerns and goals/objectives. Develop a cohesive action plan to address those opportunities. Agreed plan with customer. Review quarterly with management. Lead execution of all agreed Account Plan/JBP action items. Ensures follow-through by all participants.
• Collaborative and high-performing account team: Coordinate with Account Manager Head to ensure timely and proactive customer escalations by effectively leveraging internal partner network to resolve account escalations & revenue blockers. Capture feedback and influence solutions internally.
• Continuous business learning and professional growth: Continually strengthen your InMobi Ads and Branding expertise, take personal accountability for your career and personal development; create, update and regularly check in on your career development plan. Complete required and recommended trainings and apply what you learn to further your growth in role and career progression.

What we are looking for:

• Minimum 7–9 years' online media sales / advertising experience required
• Bachelor's degree required; Advanced degree preferred
• Proven track record of exceptional performance, high productivity, communications skills and meeting deadlines
• Demonstrated ability to consistently meet or exceed revenue goals or targets
• Proven ability to understand customer needs, create and deliver customized, customer-focused pitches and solutions
• Effectively navigate through ambiguity and complexities related to client management
• Talented in storytelling and delivering engaging presentations across all levels of leadership
• Ability to navigate customer sales negotiations and technical presentations in person and remotely
• Solid knowledge of the branding industry, native display products, customer's needs, InMobi's strategy and how they work together
• Passion for technology as an enabler for company growth
• Location: Mumbai should be willing to travel

Who are we and What do we do?

InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies.

What’s the InMobi family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What do we promise?

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work.

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

The Role: 

WorldQuant is seeking an exceptional individual to join as Quantitative Researcher (Deep Research).

Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

As part of this role, you will:

• Build predictive signals using a structured and methodical research process combining fundamental knowledge, data exploration and quantitative analysis
• Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research
• Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications

What You’ll Bring:

• Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• At least 2 years of relevant financial research experience
• Creative problem solver with a passion for experimentation and tackling unsolved challenges
• Strong foundation in mathematics, statistics, and quantitative modeling
• Strong interest in financial markets
• Proficiency in Python and C++
• Knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs is a plus
• Excellent communications skills (both written and oral English)

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

WHAT YOU’LL BRING:

• Bachelor's (Hons), Master's or PhD degree in in a highly quantitative or highly analytical field e.g. Math, Physics, Computer Science or Financial Engineering from a leading university with excellent academic records are strongly preferred
• Have a research scientist mindset, i.e., be a deep thinker, creative, persevering, smart, a self-starter, etc.
• Knowledge of Linear Algebra, Statistics, Machine Learning
• Prior experience in Finance/Trading is a plus.
• Be competent in a programming language (Python, Unix)
• Possess good English language skills
• Have a strong interest in learning about worldwide financial markets
• Possess a relentless drive to succeed, supplemented by a strong work ethic

FEQ427R107

As a Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems

Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way.

This is a Hybrid role, based in Mumbai. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others
• Strong consulting / customer facing experience , working with external clients across a variety of industry markets
• Coding experience in Python, R, Java, Apache Spark™ or Scala
• Experience building distributed data systems
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Available to travel to customers in your region
• Nice to have: Databricks Certification

Location: [India] 

We Are: 

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. 

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

Why RTB House?

• You excel at selling high ticket and complex ad tech solutions (display retargeting) to brands and/or Tier1 media agencies at director-level.
• You know how to get around within prospects companies and as well as within the company you work for, to get your work done. 
• You enjoy working as a Challenger in the market that has the ambition and offering to take the number 1 spot in its space digital advertising solutions.

You Will:

• Identify new sales opportunities and convert them into RTB House customers on the Indian market. Generate direct sales by handling all aspects of the sales cycle from prospecting to closure;
• Develop strong relationships with key stakeholders (decision-makers) of brands and agencies and comprehensively expand the portfolio of RTB House’s new clients. This is a role focussed on New Business.
• Participate in product and offer presentations/pitches to prospective clients and agencies. Analyze sales statistics and formulate sales strategies to determine and achieve desired growth. Partner with technical and account management teams;
• Execute customer communications via telephone or email, in line with standards and procedures. Create formal offers and present them to potential customers;
• Deliver high levels of customer relationship management, satisfaction, and interaction;
• Report on the status of sales processes regarding both existing and potential customers;
• Develop professional and technical knowledge by attending training sessions.

Desired Experience: 

• Understanding of the online advertising industry including major recent trends,  knowledge of the RTB model is a must. Understanding AI, especially Machine learning and Deep Learning is key to be successful. 
• 6-8 years of successful sales experience in the digital advertising industry is a must. If you have less than 6 years of sales experience in Digital/Retargeting, this role is not for you.
• Proven existing, meaningful relationships with Tier 1 direct clients where you can exhibit both Leadership and Leverage.
• Thought leader in online advertising. That comes with both experience and mindset coming from the number of years of both success and failures.
• You dream big, know how to get the work done and have fun while doing it.
• Great analytical skills, persuasion, exceptional negotiation, communication skills and fluency in English.
• Minimum - University degree, Post Graduate is a plus.

We Offer: 

• Being part of an award-winning organization, with outstanding growth numbers;
• Work on a great product based on the newest AI Technology (Deep Learning);
• Being part of ambitious projects and working with teams of talented and collaborative people;
• A rewarding career in a high energy, fun and inspiring atmosphere with no corporate habits;
• The opportunity to participate in ambitious projects in a growing, international organization;
• Hybrid work model.

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

SUMMARY

As a Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Director, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards,  product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meet-ups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

Head of Quality Engineering to lead and scale our QA function in India (Relocation to Noida required) 

 This is a pivotal leadership role within our Engineering and Technology team, requiring a unique blend of strategic foresight, commercial awareness, and hands-on technical expertise. 

The ideal candidate is not just a manager but a leader and coach—someone who can recruit and build a high-performing team from the ground up while maintaining involvement in projects and automation. You will be the driving force behind our continued AI Transformation in QA in the region and, ensure our technical capabilities are always one step ahead of business demand. 

This role offers relocation to Noida, its important that you are happy to relocate to Noida and our team will support your relocation 

What you’ll be doing: 

Leadership, Team Development & Future-Readiness 

• Build & Scale: Recruit top-tier QA talent to build the India team. Manage high-volume, high-pressure hiring cycles and  a establish QA Automation hub. 

• Future-Proofing the Workforce: Collaborate closely with Sales and Business Development teams to understand the sales pipeline and emerging market trends. Translate these insights into training roadmaps to ensure the team is "project-ready" for next-generation work before it arrives. 

• Talent Development: Follow and contribury to global engineering career progression frameworks. Foster a culture of continuous learning by coordinating training programs, onboarding graduates, and personally coaching team members. 

• Global Collaboration: Act as the primary liaison for the India region within our global community of QA leaders, ensuring alignment with global standards while addressing local operational needs. 

• Employee Wellbeing: Balance the drive for high performance with a deep commitment to team wellbeing, proactively managing signs of burnout and ensuring a healthy, sustainable work-life balance for your staff. 

 
AI Transformation & Technical Excellence 

• AI Leadership: Champion the adoption of AI-assisted testing tools and generative AI within the QA workflow. Lead transformation activities to automate test generation, self-healing scripts, and predictive quality analytics. 

• Automation Strategy: Lead the design and development of robust, scalable test automation frameworks using modern tools, with a specific focus on Playwright. 

• Hands-on Engineering: Review complex test scenarios and contribute to automation code or framework architecture. You will be expected to guide the team on technical implementation in Java, Python, or JavaScript. 

• Shift-Left & CI/CD: Support project teams in integrating quality gates within deployment pipelines and drive the adoption of "Shift-Left" testing principles. 

 
Strategic Quality Management 

• Metrics & KPIs: Define and track quality metrics (DRE, Test Coverage, Cycle Time) to provide transparent reporting to executive stakeholders. 

• SDLC Integration: Collaborate closely with Engineering, Product, and DevOps leads to embed quality as a mindset throughout the development lifecycle. 

• Infrastructure & Data: Oversee test environment management, data management strategies, and ensure the infrastructure supports rigorous performance and security testing. 

• Client Delivery Assurance: Act as the senior escalation point for critical project quality issues. Build relationships with global account leads to ensure Indian based delivery teams are meeting client expectations and strictly adhering to any SLAs 

 
Process & Operations 

• Agile Efficiency: Optimize testing processes to support rapid Agile/Scrum development cycles, reducing time-to-market whilst improving quality. 

• Prioritization: Expertly handle multiple conflicting priorities and context switching between strategic planning, crisis management, and recruitment activities. 

What we want from you: 

• Extensive QA Leadership & Team Scaling: Proven extensive experience in Quality Assurance, leading and managing teams, with a track record of building and scaling QA teams from small to medium sizes (including graduate intake and senior hires). 

• Comprehensive Technical QA Expertise: Strong hands-on proficiency in test automation frameworks (Java, Python, JavaScript), deep understanding of Functional, API, Performance (JMeter, k6), and Security testing fundamentals. 

• Modern QA Tooling & CI/CD Mastery: Experience with Playwright is highly desirable, along with proficiency in modern CI/CD tools (Jenkins, GitHub Actions, GitLab CI). 

• E-commerce/Retail Domain Expertise: Understanding of complex buying journeys within E-commerce/Retail domains, with experience using platforms like Shopify, Adobe Commerce, SFCC, or CommerceTools. 

• Strategic Business & Commercial Acumen: Ability to analyse business trends, sales pipelines, and commercial impact to forecast skill requirements, drive proactive team upskilling, and strategically prepare teams for future sales initiatives. 

• AI Transformation & Empowerment: Proven experience with AI transformation activities and a passion for empowering teams to effectively utilize AI tools in daily workflows. 

• Adaptable, Resilient & Results-Oriented: Comfortable with frequent context switching, adept at managing ambiguity in a fast-paced environment, and capable of handling demanding hiring targets and delivery deadlines. 

• Exceptional Communication & Stakeholder Management: Excellent verbal and written communication skills, capable of clearly explaining complex technical quality risks to non-technical stakeholders. 

• High Emotional Intelligence & Relationship Building: Possesses high emotional intelligence, fostering deep trust and strong relationships across cultural boundaries as an approachable, empathetic listener. 
• Vibrant Team & Tech Community Builder: Actively fosters a vibrant internal engineering culture (organizing Hackathons, Guilds, Lunch & Learns) and a strong sense of community within a distributed workforce through team bonding and celebrating successes. 

Desirable Attributes: 

• Cloud Native: Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). 

• Emerging Tech: Demonstrated knowledge of AI/ML testing approaches and implementation of LLMs in testing. 

• Certifications: ISTQB Advanced Level or equivalent quality certifications. 

• Remote Management: Experience managing distributed or remote teams across different time zones. 

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

Role - Creative Technologist

Location - Remote Until Further notice

A Little Bit About the Role and Team: 

As a Creative Technologist, you will play a pivotal role in bridging the gap between creative and technical teams. You will be responsible for developing innovative technological solutions that enhance our advertising campaigns, ensuring they are both compelling and effective. Your work will be instrumental in transforming creative visions into reality, driving engagement and brand loyalty for our clients. 

Beyond execution, you are a proactive problem-solver. You will actively seek out inefficiencies and friction points that creative or technical teams may not yet have identified, taking the initiative to propose and implement smart, technology-driven solutions that bridge communication gaps and streamline production. 

What is required: 

• Collaborate closely with creative directors, designers, strategists, and other team members to conceptualize and prototype advanced technology-driven advertising solutions. 

• Proactively identify and bridge gaps between departments; observing creative workflows to identify struggles they may not have voiced and educating them on existing technical solutions. 

• Take initiative in identifying technical team constraints and translating them into actionable insights for the creative team to ensure seamless project delivery. 

• Identify new technology trends and assess their applicability to our advertising objectives, ensuring our strategies remain at the forefront of industry practices. 

• Conduct research and development to explore new platforms, software, and tools that enhance our creative capabilities and deliver superior results for clients. 

• Oversee the technical execution of projects, ensuring all deliverables meet quality standards and are completed within deadlines and budgets. 

• Provide mentorship and guidance to junior technologists and technical teams, fostering an environment of collaboration and continuous learning. 

• Partner with account teams to present technical concepts and solutions to clients, articulating complex ideas in a clear and compelling manner. 

• Ensure all technological solutions are scalable and future-proof, with a strong emphasis on user experience and accessibility. 

• Troubleshoot and resolve any technical challenges that may arise during project lifecycles. 

• Working with teams to help map out current and proposed processes. 

What good looks like: 

• Proven experience (5+ years) working in production on Print and Digital media types. 

• Bachelor's degree in computer science, Digital Media, Interaction Design, or a related field. A master's degree is a plus. 

• Proven experience (5+ years) as a Creative Technologist or in a similar role within the advertising, marketing, or digital media industries. 

• Strong proficiency in Adobe Indesign, Photoshop and Illustrator. 

• Experience with emerging technologies and platforms such as AI, machine learning, IoT, etc. 

• A self-starter mindset with a proven track record of taking initiative—moving beyond "executing a brief" to proactively proposing technological interventions. 

• An impressive portfolio showcasing past projects that highlight your ability to merge creativity with technology. 

• Excellent problem-solving skills and the ability to think outside the box. 

• Strong understanding of user-centered design principles and best practices in digital experiences. 

• Exceptional communication and "translation" skills, with the ability to navigate both creative and technical languages to align diverse stakeholders. 

• Ability to work effectively in a fast-paced and dynamic environment, managing multiple projects simultaneously. 

Req ID - 17145

#LI-PG1 #BTG+

SLSQ427R256

Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values: 

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity. 
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust. 
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. 

Role Summary and Impact   

The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager / Senior Associate, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.

WHAT YOU WILL DO   

• Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
• Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
• Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development, improvement, and compliance.
• Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands, disciplines, and offices.

Skills and Experience  

• 3–6 years of relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
• Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
• Practical understanding of data science techniques, statistical analysis, and modelling.
• Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Who are we and What do we do? 

InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. 

 What’s the InMobi family like?   

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion. 

 What do we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What will you be doing? 

Microsoft and InMobi have entered into partnership. As per which, InMobi will be exclusive partner for Microsoft’s search inventory. Microsoft Search Advertising empowers the largest advertisers around the world to reach their maximum potential through paid search engine marketing on the Microsoft Bing Ads platform. InMobi will be responsible for complete management / transaction across Bing.  

We are seeking an Account Manager with search advertising experience an attention to detail, customer obsession and passion to learn and adapt in an evolving environment. The individual will be coordinating with a team of Account Strategists and supporting Account Management Head to achieve customer satisfaction and revenue objectives. As an AM, you will be serving Corporate customers by applying customer obsession to what clients care about and need, and building and maintaining strong, trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency/tool provider. The AM will be responsible to manage an assigned set of clients focused on attaining revenue targets, feature adoption and client driven goals 

Role requirement & expectation: 

• Shared culture of diversity and respect: Create a collaborative, trust-based work environment where differences in communication styles are considered, and the perspectives of others are respected and valued. Demonstrate Search Advertising’s culture of inclusiveness and diversity at all times. Contribute to the success of others by promoting mutual learning 
• Strong customer relationships and account health: Own the day-to-day management for newly onboarded & existing customers. Flawless execution of campaigns. Strong coordination with internal resources for execution of core tasks. Awareness and understanding of all required billing and compliance requirements. Contribute to quality and actionable Customer Plan. 
• Pursue optimizations to deliver quota expectations: Drive campaign-level budget upsell and optimization opportunities that align to ROI goals of client and drive incremental revenue. Leverage internal tool-directed tactics to inform and prioritize upsells and optimizations, seeking to drive swift implementation. Drive tactic improvement by providing thoughtful feedback to make opportunities more relevant to client goals. Leverage self-serve tools and community forums to deliver insights for non-Insights enabled clients. 
• Fluent advocate of the Bing Story: Educate clients on how the Bing Ads platform and existing features help them to reach their business goals and execute on budgets. Ensure regular client engagement with the BingAds platform, and aim to reduce customer reliance on AM for routine tasks. Utilize all available readiness and insights to ensure you are a fluent advocate of the Bing story. Develop and demonstrate an intermediate level knowledge of emerging products/features. 
• Collaborative and high-performing account team:  Ensure timely and proactive customer escalations by effectively leveraging Account Executive and internal partner network to resolve day-to-day escalations & revenue blockers. Partner with account team to submit actionable feedback on product, tool and processes through relevant channels. Own and effectively execute the customer transition process and operational excellence in execution of change management (Book of Business update).  
• Continuous business learning and professional growth: Continually strengthen your Bing Ads and Search Industry expertise, take personal accountability for your career and personal development; create, update and regularly check in on your career development plan. Complete required and recommended trainings and apply what you learn to further your growth in role and career progression. 

What is expected out of you ? 

• Minimum 3 years’ in Search Engine Marketing Sales or online media and Service experience required  
• Strong knowledge of Internet advertising: CPA, CPM, CPC, search marketing, lead generation, direct response, etc. 
• Strong troubleshooting and problem solving tools with a 'can do' attitude and the ability to partner collaboratively with other functional areas within the company in support of the sales process. 
• Demonstrated ability to consistently meet or exceed revenue goals or targets  
• Proven ability to understand customer needs, create and deliver customized, customer-focused pitches and solutions 
• Effectively navigate through ambiguity and complexities related to client management 
• Talented in storytelling and delivering engaging presentations  
• Solid knowledge of the search industry, trends, and customers needs 
• Passion for technology as an enabler for customer and company growth 
• Bachelor’s degree required. MBA preferable 
• Critical thinker who is organized and can make decision based on clear priorities 
• Collaborative teammate who can build successful team relationships with partners; and can prioritize multiple tasks 
• Flexible and able to quickly adapt to changing business needs and processes 
• Excellent written and verbal communication skills 
• Willingness  to travel 

Preferred 

• Bing Ads Certification 
• Experienced using Excel to analyze information, including data manipulation, V-Lookups, creating and using pivot tables, and data analysis 

Who are we and What do we do? 

InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. 

What’s the InMobi family like?   

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

What do we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission-critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training, and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

What will you be doing?   

Microsoft and InMobi have entered into partnership, as per which, InMobi will be the preferred partner for Microsoft’s Search and Audience Inventory (Native Display, CTV and Video). Microsoft Advertising empowers the largest advertisers around the world to reach their maximum potential through Search, Native, Video and Display advertising on Microsoft platforms and inventory. InMobi will be responsible for sales and development followed by end to end management of these client activities.  

We are seeking a top performing Sales Manager with online advertising/Sales experience who can drive revenue and increase customer satisfaction by developing and cultivating strategic client relationships and delivering customized branding solutions by aligning to the client’s advertising needs.  

The Sales Manager for display advertising enables Microsoft to better serve strategic customers by applying customer obsession to what clients care about and need, ensuring our Microsoft story is valued and understood, and acting to build successful, long-term relationships. The Sales Manager drives both revenue and customer satisfaction.  

The Sales Manager drives new account acquisition and grows incremental revenue against a targeted list of high potential agencies through engagement. In conjunction with the Central teams and Account Managers, Sales Manager develops quality customer plans laying out revenue and customer satisfaction growth strategies. Success is measured by specific key performance indicators focused on driving product adoption, emphasizing customer experience and optimizing opportunities. In addition, the Sales Manager builds and maintains a pipeline of clients and agencies new to the Microsoft Audience Network proposition.  

What is expected out of you? 

• Healthy predictable pipeline to deliver quota expectations: Consistently create high value revenue-generating opportunities. Lead regular, impactful engagements with key clients.
• Grow Microsoft Advertising's share of wallet across client portfolio by highlighting missed opportunities around Branding activities. Create a convincing storyline and pitch which will help client side decision makers to meet or exceed their marketing goals.   
• Leverage current relationships in the advertising ecosystem to drive adoption conversations as well as open up new relationships in the industry.
• Forge relationships with client-side marketing heads and build industry presence for yourself and the products.
• Fluent advocate of the Microsoft Story: Educate clients on how Microsoft Ad features and offerings help them to reach their business goals and new markets/targets. Utilize all available readiness materials (inclusive of Marketing materials, Training & other GTM assets) and insights to ensure you are a fluent advocate of the Microsoft Advertising story.  Develop and demonstrate an intermediate to expert level knowledge of emerging products/features. 
• Strong customer and partner Planning:  Develop and maintain high quality, actionable Customer Plans (where applicable) and Joint Business Plans (where applicable).  Demonstrate a deep understanding of customer needs, challenges/concerns and goals/objectives. Develop a cohesive action plan to address those opportunities. Agreed plan with customer. Review quarterly with management. Lead execution of all agreed Account Plan/JBP action items. Ensures follow-through by all participants. 
• Collaborative and high-performing account team: Coordinate with Account Manager Head to ensure timely and proactive customer escalations by effectively leveraging internal partner network to resolve Account escalations & revenue blockers. Capture feedback and influence solutions internally.  
• Continuous business learning and professional growth: Continually strengthen your Microsoft Ads and Branding expertise, take personal accountability for your career and personal development; create, update and regularly check in on your career development plan. Complete required and recommended trainings and apply what you learn to further your growth in role and career progression 

What is expected out of you? 

• Minimum 6-8 years’ online media sales/ advertising experience required 
• Bachelor’s degree required; Advanced degree preferred 
• Proven track record of exceptional performance, high productivity, communications skills and meeting deadlines 
• Demonstrated ability to consistently meet or exceed revenue goals or targets 
• Proven ability to understand customer needs, create and deliver customized, customer-focused pitches and solutions 
• Effectively navigate through ambiguity and complexities related to client management 
• Talented in storytelling and delivering engaging presentations across all levels of leadership 
• Ability to navigate customer sales negotiations and technical presentations in person and remotely 
• Solid knowledge of the branding industry, native display products, customer's needs, Microsoft’s strategy and how they work together 
• Passion for technology as an enabler for company growth 
• Location: Mumbai, should be willing to travel

Preferred 

Branding Digital Ad Sales

Native Display Ad Sales

Bing Ads Certification

Why Join Us? 

You will contribute to creating disruptive and innovative consumer experiences using technology. We value autonomy, collaboration, technical innovation, and results-oriented thinking. InMobi’s culture is all about rewarding excellence so there are fantastic opportunities for the right candidates!

IMC’s Python Development team partners directly with our equity and index options trading desks, blending financial theory, software engineering, data-visualisation, and applied research to convert raw data into trading edge. You’ll operate in a high-calibre, intellectually stimulating environment that leverages cutting-edge technology, proprietary tools, and vast datasets. Working side-by-side with traders and software engineers, you’ll see your work  move swiftly from idea to production and directly influence trading performance. Our culture prizes innovation, collaboration, and continuous learning—where creative problem-solving, a strong sense of responsibility, and rigorous diligence drive success.

Your Core Responsibilities:

• Collaborate closely with traders to refine existing strategies and generate new ideas.
• Build, maintain, and enhance research frameworks  and data pipelines that enable trading and quantitative research.
• Develop, back-test, and implement discretionary and systematic trading strategies using large, diverse datasets.
• Curate, transform, and present data in clear, accessible formats for traders and researchers.
• Drive end-to-end research cycles — from ideation through production deployment.

Your Skills and Experience:

• Bachelor's in Mathematics, Physics, Statistics, Computer Science, Econometrics, or a related discipline.
• 3+ years of professional Python development experience, with strong, production-level coding skills; familiarity with additional languages is a plus.
• Hands-on experience with statistical analysis, numerical programming, data engineering, or machine learning in Python (Polars, Pandas, NumPy, SciPy, TensorFlow).
• Proven ability to handle large datasets, architect and optimise data pipelines, and present data effectively.
• Foundational knowledge of quantitative trading concepts and equity/index options —  whether through coursework, projects, internships, or professional work.
• Exposure to web/API frameworks such as FastAPI and React is advantageous.
• Experience with orchestration and containerisation tools like Kubernetes and Docker is a plus.
• Solid grounding in calculus, probability, statistics, and optimisation; familiarity with machine-learning techniques is beneficial.

We're seeking a Machine Learning Lead to join our team in building cutting-edge products that shape the future of consumer finance. As a member of our team, you will oversee complex technical problems, build new features, and improve existing products. Our teams are constantly pushing the boundaries of applied intelligence in consumer finance, and we're looking for passionate individuals who can help us advance us further. If you're interested in leading a world-class team of engineers and researchers to work on exciting projects that have a significant impact, we encourage you to apply.

Responsibilities:

• Partner with the CTO to drive the team's goals and technical direction to pursue opportunities that make the organization more efficient
• Effectively communicate complex features and systems in detail
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner with the CTO to lead long-term technical vision and roadmap for Machine Learning and the entire organization
• Suggest, collect, and synthesize requirements and create an effective feature roadmap
• Design and develop Machine learning products and services leveraging AI (LLMs, Agentic AI, classical ML, the modern NLP stack, etc)
• Architect and implement data pipelines for ML model training. Lead scalable software systems development to deploy ML models into production systems, ensuring high performance and reliability.
• Stay updated on ML research and the ever-changing Gen AI landscape, identifying opportunities for innovation.
•  Effectively collaborate with cross-functional teams to deliver high-quality solutions on time. Guide team members in contributing to ML design discussions for new projects.

Requirements:

• Extensive experience, 5+ years in software development, with a focus on machine learning and data science in a tech company. 
• Proven track record of delivering high-quality ML products in a fast-paced, agile environment.
• Deep understanding of machine learning algorithms with hands-on experience in developing and deploying machine learning models at scale.
• Strong coding skills in Python. Familiarity with machine learning libraries such as PyTorch and sci-kit-learn. Experience with data manipulation and analysis tools like Pandas and Spark.
• Strong communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and mentor junior engineers.

Preferred Qualifications:

• Experience with cloud services (AWS), Databricks, and building scalable, distributed systems.

Job Benefits 

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions, and challenge each other to do those extra push-ups or chug that 4th drink (of course, that’s Nimbu Pani).

Meet Sangram - (Cofounder and CTO) and hear his vision for Prodigal below (01:38)

In India, we have our teams based in Pune, Mumbai, Delhi and, Bangalore. We pride ourselves on being client-focused and collaborative, on the pioneering edge of technology. We also have fun. Whether it’s office happy hours, team outings, or game nights, we believe in working with people we like to hang out with.

Ideal candidate traits

If you identify as a team player and you are humble, hungry, and smart — we would love to get to know you. We believe these qualities to be vital to building a strong, productive, and collaborative work environment, where everyone is committed to achieving common goals and working towards shared success.

We are looking for people who are willing to learn from others, who can put their egos aside and prioritise the needs of the team. You should also be highly motivated, driven to succeed, and always looking for ways to improve. We value emotional intelligence, excellent communication skills, and a collaborative spirit that enables them to build strong relationships with teammates and work effectively towards shared goals.

At AlphaSense we are committed to fostering a work culture that encourages these qualities and values the contributions of team players who exhibit them. We seek to match the ambition of ideal team players by offering opportunities for personal and professional growth, providing the resources and support necessary to achieve their goals, and creating an environment where hard work, dedication, and teamwork are celebrated and rewarded. At AlphaSense we are building teams of ideal players who embody the core values of Sisu, driving the company’s success and helping us to create a positive impact on the world.

Technologies that we work with:

Frontend

ReactJS, TypeScript, Micro Frontends

Applications

NodeJS, TypeScript, GraphQL, Java 17, Spring Boot, Python, FastAPI

Backend

Java 17, Spring Boot, Python, FastAPI, Kafka

Search and AI

Apache Solr, Elasticsearch, Vector Search, ML, LLM, Pytorch, Tensorflow

Cloud architecture

AWS, GCP, Kubernetes, Crossplane, Argo CD

Quality & reliability

Cypress, Selenium, Selenide, Playwright, Rest Assured, K6, Prometheus, Loki, Grafana

Ready to Make an Impact?

Join our talent community, hear about exciting career opportunities, and get tailored job recommendations based on your interests.

If you’re looking for a challenge, if you love finding things that need interesting solutions, AlphaSense is a great place to come. It is a place for builders, for people who want to create the next thing.

Want to hear more?

Contact us and let’s figure out together if we can find a common path. Tell us about yourself and your background in your own words.

AlphaGrep is a quantitative trading and investment management firm founded in 2010. We are one of the largest firms by trading volume on Indian exchanges and have significant market share on several large global exchanges as well. We use a disciplined and systematic quantitative approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary ultra-low latency trading systems and robust risk management to develop trading strategies across asset classes (equities, commodities, currencies, fixed income) that trade on global exchanges.

AlphaGrep Securities seeks a Quantitative Research Intern, who will be part of trading group which executes algorithmic strategies based on market behavior. We cover the global markets by leveraging and integrating technology, risk management and quantitative research.

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analysing market data and market microstructure for patterns
• Creating tools to analyse data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators science, mathematics and related fields to apply.

Additional requirements include:

•  Familiarity with machine learning (a plus)
• Experience with data analysis, market research and data modeling (a plus)
• Brilliant problem-solving abilities
• Software development experience as demonstrated through course work, research projects, or open source activities, preferably in C++, Python or R/Matlab
• A passion for new technologies and ideas
• The ability to manage multiple tasks in a fast-paced environment
• Strong communication skills
• A working knowledge of Linux/Unix

We are building PIE (Prodigal Intelligence Engine) - the specialized intelligence layer that transforms AI agents from conversational interfaces into truly intelligent decision-makers. We're building the brain that makes agents understand context, make compliant decisions, and deliver personalized experiences at scale. Read more about PIE here

About the role

As a Senior Software Engineer on the Platform team, you'll architect the systems that power PIE - unifying siloed data sources across CRMs, lending systems, dialers, and communication channels into a unified intelligence layer. You're building infrastructure that doesn't just handle data at scale, but extracts meaning from it, enabling AI agents to make contextually intelligent, compliant decisions in real-time.

This isn't incremental improvement - it's foundational work toward an agentic future where specialized AI agents collaborate autonomously to manage entire collections operations. The systems you build today become the backbone of tomorrow's agentic workforce.

What you'll do

• Design and build the distributed systems infrastructure that powers PIE, processing millions of consumer interactions daily while maintaining sub-100ms response times for real-time agent decision-making
• Build robust data unification pipelines that reconcile and synthesize information across heterogeneous systems (CRMs, LMS platforms, dialers, communication channels) into coherent, actionable intelligence
• Create scalable platforms that can ingest, process, and serve insights from 500+ consumer attributes while supporting complex regulatory and compliance requirements
• Own end-to-end architecture and implementation - from high-level system design through production deployment and operational excellence
• Write production-grade code in Python, Golang, and Node.js that balances performance, maintainability, and speed of iteration
• Conduct rigorous code reviews, tackle complex distributed systems bugs, and take ownership of high-risk technical challenges
• Build comprehensive testing strategies spanning unit, integration, and regression capabilities to ensure reliability at scale
• Implement sophisticated monitoring, observability, and troubleshooting capabilities for complex distributed systems
• Drive improvements in key technical metrics: system availability, data freshness, query performance, and cost efficiency
• Partner with ML teams to build infrastructure that supports model training, inference, and continuous learning loops
• Influence technical direction and architectural decisions that span multiple teams and projects
• Mentor junior engineers through code reviews, architectural discussions, and collaborative problem-solving
• Champion engineering best practices, documentation standards, and operational excellence across the platform team

✅ Requirements

• B.Tech./BE/M.Tech Equivalent in Computer Science or relevant education
• 4+ years architecting and building high-throughput, distributed data platforms that process millions of events daily
• Strong hands-on expertise with NoSQL & SQL databases (MongoDB, DynamoDB, PostgreSQL) and modern data warehouses (Redshift, Snowflake, Databricks BigQuery)
• Deep experience building scalable, secure, highly available software that operates reliably under production load
• Proficiency with AWS services, containerization (Docker/Kubernetes), and modern DevOps practices
• Expertise in observability and monitoring tools (Sentry, CloudWatch, Prometheus, ELK) for troubleshooting production systems
• Strong expertise in troubleshooting complex production issues.
• Good problem solving, critical thinking, and communication skills. Should be able to find the right balance between perfection and speed of execution
• Self-starter and self-learner, who never settles
• Comfortable working in a fast paced environment while continuously evaluating emerging technologies
• Bonus: Foundational knowledge of Machine Learning and AI systems - understanding how models are trained, served, and integrated into production applications
• Bonus: Experience building platforms that power real-time AI/ML workloads or agentic systems

⚙️ Our Tech Stack

• Languages & Frameworks: Python, Golang, Node.js
• Databases: MongoDB, PostgreSQL, Databricks
• Infrastructure: AWS (EKS, EC2, Lambda), Kubernetes, Docker
• GenAI Tooling: Cursor, Claude code, and all other leading AI dev tools 

Mode of Work - In-Office (Powai, Mumbai)

What we offer

• GenAI experience – Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence.
• World-class team - You'll get the chance to learn from (and teach) some of the brightest and most skilled people you'll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus.
• Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but that's not where it ends. If you make a good case for some extra learning, we're delighted to foot the tab.
• Food at the office – Meals are on us. We won't let your stomach grumble while you hustle.
• Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family.
• Flexible schedule - We're not a "clock in, clock out" company. Morning person? Start work while the world's still sleeping. Night owl? Ramp things up while others are winding down. You're fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration.
• Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind.
• Recreation & team activities – We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that’s Nimbu Pani).