Director of Conversational AI Engineering

Join a leading team focused on innovation in AI technology!We are looking for an accomplished Director of Conversational AI Engineering to shape the future of AI-driven products for one of our prestigious clients at Weekday-1. With a competitive salary range of INR 1,00,000 - 2,00,000 per month, this full-time role is based in Bengaluru, Karnataka.This pivotal position involves crafting and executing a comprehensive conversational AI strategy, enhancing prompt engineering, and ensuring exceptional AI interactions across various applications. The ideal candidate will have a robust technical background in Natural Language Processing (NLP) and large language models, coupled with exemplary leadership skills to guide a talented team of engineers.

CSQ227R231 Mission The Director of Support Engineering for Data & AI based in Bengaluru will spearhead the development and management of a premier team of technical experts in Data & AI, dedicated to ensuring the resilience and seamless operation of customer production workloads. This leadership role will oversee support operations during APJ and EMEA business hours, ensuring continuous support coverage by collaborating with global teams across different regions. The team will address complex, long-standing data engineering challenges faced by Databricks customers to enhance their live use cases—covering aspects such as performance optimization, production job stability, and assisting customers in adapting to new products and features. Reporting to the Global Lead of Frontline Support Engineering - Data & AI, this role requires a deep understanding of the real-world business challenges our customers encounter with data, along with a strong commitment to aiding them in achieving reliable and high-performing systems to fulfill their objectives.

About Nightfall AI:Nightfall AI is an innovative platform at the forefront of data loss prevention and insider risk management, designed to safeguard sensitive information across a wide range of applications including SaaS tools, email, endpoint devices, and generative AI technologies. Trusted by hundreds of clients, from pioneering AI companies to the world's leading financial institutions, we empower organizations to pursue innovation without compromising on data security. Our cutting-edge platform automates data loss prevention, allowing security teams to focus on strategic initiatives while automatically addressing violations before they escalate into incidents.Supported by prominent venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and esteemed cybersecurity leaders, Nightfall AI is positioned for rapid growth and innovation.About the Role:We are looking for a dedicated and talented AI Engineer to join our dynamic AI Engineering team at Nightfall AI. You will collaborate with a team of exceptional engineers to design, develop, and optimize the AI models that are integral to our security solutions. This role offers the opportunity to work on the architecture and scalability of systems that underpin these models.If you have a passion for tackling complex challenges, experimenting with natural language processing architectures, and diving deep into system internals to create impactful solutions, this is an exciting opportunity to join us early in our journey and accelerate your career growth. Key ResponsibilitiesDevelop and deploy AI systems that enhance Nightfall's security offerings.Utilize Python for data analysis, experimentation with natural language and other model architectures, model benchmarking, and automation of training and deployment processes.Employ Go to create microservices that efficiently handle data ingestion and processing at scale, leveraging advanced streaming infrastructure and distributed caching techniques.Engage in cross-functional collaboration to enhance the performance and capabilities of our products.

(P-1384) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems—from realizing the next mode of transportation to speeding up medical advancements. We achieve this by developing and operating the world’s most advanced data and AI infrastructure platform, enabling our customers to leverage deep data insights for business enhancement. Our company, founded by engineers with a passion for customer satisfaction, embraces every opportunity to confront technical challenges, whether it’s designing next-generation UI/UX interfaces for data interaction or scaling our services across millions of virtual machines. And we are just getting started. In this pivotal role, you will collaborate closely with leaders across various departments including engineering, product management, field engineering, recruiting, and HR. You will spearhead essential infrastructure initiatives that construct and manage distributed systems, enhancing efficiency, reliability, and automation across the organization. You’ll influence the development of future systems by integrating AI-driven tools directly into the infrastructure, making it more adaptive, scalable, and intelligent.

(P-1491) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging problems globally, from revolutionizing transportation to enhancing medical advancements. Our mission is realized through the development and management of the premier data and AI infrastructure platform, enabling our customers to leverage profound data insights for business improvement. Founded by engineers with a strong customer focus, we eagerly embrace every opportunity to address technical challenges—from creating next-generation UI/UX for data interaction to expanding our services and infrastructure across millions of virtual machines. The journey has only just begun. In this pivotal role, you will collaborate with leaders across various departments, including engineering, product management, field engineering, recruiting, and HR. You will spearhead essential infrastructure projects that build and manage distributed systems, enhancing efficiency, reliability, and automation across the organization. You’ll influence the construction of next-gen systems by integrating AI-driven tools directly into the infrastructure, ensuring it is more adaptable, scalable, and intelligent.

(P-1384) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from pioneering innovative transportation solutions to expediting medical advancements. Our mission is realized through the development and operation of the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their business outcomes. Founded by engineers and driven by an unwavering customer focus, we embrace every opportunity to confront technical hurdles, whether it involves designing next-generation UI/UX for data interaction or scaling our services and infrastructure across millions of virtual machines. And we are just getting started. In this pivotal role, you will collaborate closely with leaders across the organization, including engineering, product management, field engineering, recruiting, and HR. You will spearhead essential initiatives that boost developer productivity and foster innovation within the developer platform domain. Your leadership will be instrumental in integrating AI tools into the developer workflow, shaping the future of AI-assisted development. Your Impact: Address significant business needs at scale through your software engineering expertise. Ensure consistent milestone delivery while maintaining strong alignment with field teams, working collaboratively with product leadership. Adapt the organizational structure to meet long-term objectives, fostering strong “5 ingredient” teams with effective communication architecture. Manage technical debt by making long-term architectural decisions and balancing the product roadmap. Lead and participate in technical, product, and design discussions. Build, manage, and operate highly scalable cloud services. Develop leaders within the team by providing coaching, mentorship, and growth opportunities. Collaborate with fellow engineering and product leaders on planning, prioritization, and staffing. Foster a culture of excellence and lead with empathy within the team. What We Seek: 15+ years of industry experience in building and supporting large-scale distributed systems. Proven track record in building, growing, and managing high-performance teams. Ability to attract and hire engineers who align with Databricks' hiring principles. Experience in building and operating cloud platforms, or a demonstrated ability to quickly learn new concepts in the SaaS space. Exceptional leadership and communication skills. Mentorship capabilities to nurture talent and promote professional development.

Transforming the quality of human interactions through advanced conversational AI.Machine Learning Engineer - GeneralistLocation: Bengaluru, IndiaExperience: 5 to 10+ yearsAbout the Team:The team at Symbl.ai is a vibrant and innovative group of specialists committed to enhancing the field of Conversational AI. We prioritize creativity and collaboration, striving to redefine the landscape of AI-driven communication technologies.About the Role:As a Machine Learning Engineer - Generalist at Symbl.ai, you will be instrumental in refining and expanding our Conversational AI platform, particularly focusing on our latest product, Nebula. You will engage in exciting projects that encompass machine learning and the unique features of Nebula, significantly contributing to the advancement of our technology stack.Key Responsibilities:Collaborate with cross-disciplinary teams to design and implement machine learning algorithms and models for Nebula and related Conversational AI projects.Develop and enhance data pipelines and workflows that facilitate machine learning model training and deployment.Participate in the design and architecture of Nebula's features, utilizing machine learning methodologies to improve functionality.Conduct experimental analyses to boost model performance and accuracy, iterating on algorithms and approaches as necessary.Contribute to the assessment and integration of third-party tools and libraries to strengthen our ML framework.Stay updated on the latest trends in machine learning and AI research, integrating new techniques and methodologies into our initiatives as needed.Why Join Us?By joining Symbl.ai, you will be at the cutting edge of Conversational AI innovation, playing a crucial role in shaping the future of communication with state-of-the-art technology. You will have the opportunity to make a meaningful impact on the development of Nebula and other pioneering projects.

Role overview Decode Age® seeks a Conversion Rate Optimization (CRO) Specialist based in Bengaluru. This position centers on enhancing digital experiences and driving measurable improvements for a biotechnology research company. What you will do The CRO Specialist will analyze data to inform strategies that boost conversion rates across various online platforms. Using insights from user behavior and performance metrics, the role involves shaping and implementing plans to increase the effectiveness of digital channels. Location This is an on-site role in Bengaluru.

weekday-1 is seeking a Conversion Rate Optimization (CRO) Specialist in Bengaluru, Karnataka, India, to work with one of its clients. The focus of this role is to drive revenue growth by improving how users interact with digital experiences and reducing points of friction throughout the conversion funnel. The CRO Specialist will play a key part in shaping clear, persuasive messaging that directly affects top-line results. Key Responsibilities Optimize website conversion rates (CVR) and landing page performance Increase add-to-cart and checkout completion rates Boost revenue per visitor (RPV) Identify and address funnel drop-offs and leak points Ensure all optimization efforts contribute to revenue growth without raising advertising spend Funnel Analysis and Issue Diagnosis Map the user journey from paid ads through landing pages, product detail pages, cart, and checkout Identify friction points at each stage Analyze behavioral drop-offs using tools such as GA4, Mixpanel, heatmaps (Hotjar, Clarity), and session recordings Investigate root causes beyond surface-level metrics Experimentation and A/B Testing Develop structured experimentation plans Create and test data-driven hypotheses Run A/B and multivariate tests on landing pages, product pages, and checkout flows Prioritize experiments with the highest potential impact Track statistical significance and assess business outcomes Landing Page and Product Detail Page Optimization Enhance clarity, trust, and conversion intent on key pages Optimize elements such as headlines, messaging, visual hierarchy, social proof, trust signals, and product education Align landing pages with acquisition channels like Meta and Google Checkout and Conversion Flow Optimization Reduce cart abandonment and refine the checkout experience Improve form fields and payment success rates Analyze differences in behavior between Cash on Delivery and prepaid customers Strengthen trust and urgency elements to improve conversions after add-to-cart Data-Driven Decision Making Build dashboards to monitor funnel progress and key performance metrics

We are seeking a talented AI Engineer to lead the design, evaluation, and scaling of our next generation of LLM-powered agents tailored for the healthcare sector. This role is highly technical while also being focused on product and customer needs: you will be responsible for creating datasets, conducting evaluations, enhancing model performance, and ensuring our agents provide significant value in practical workflows.As an AI Engineer, you will collaborate across Engineering, Product, and Customer teams to continually enhance the quality, reliability, and speed of our agents. Your contributions will extend beyond just building agents; you will develop the systems, metrics, and feedback mechanisms that drive continuous improvement of our agents over time.

Weekday-1 is looking for a Senior Data Scientist to advance its voice AI platform. This full-time role is based in Bengaluru, Karnataka, and centers on developing AI systems that enable accurate, natural conversations at scale. Role overview This position involves building and refining machine learning models that process large volumes of conversational data. The work requires a focus on natural language understanding and real-time speech technologies, supporting major Indian enterprises. What you will do Lead the full cycle of machine learning model development, from requirements gathering and algorithm design to implementation and deployment. Create conversational intelligence models that handle hundreds of thousands of conversations daily, with an emphasis on precision and fluency. Keep up with advances in NLP and speech technology by reviewing research and applying new methods to improve the platform. Design and maintain scalable, reliable ML pipelines that grow with increasing data volume. Analyze and enhance model performance to ensure smooth, real-time voice interactions. What sets this role apart Direct impact on the development of advanced AI models for voice intelligence. Hands-on work with natural language understanding, speech recognition, and conversational AI tools. Support for conversations used by leading Indian enterprises, including validation from organizations like Paytm. Influence over the accuracy, speed, and capabilities of core AI systems. Help build essential AI infrastructure that enables hundreds of thousands of natural conversations every day. Requirements At least 5 years of relevant experience in data science or machine learning. Based in Bengaluru, Karnataka. Full-time availability. Compensation Salary range: ₹3,000,000 – ₹6,000,000 (INR 30 – 60 LPA)

Position: Director of Product Management - AI SolutionsAbout Paytm Intelligence (Pi)At Paytm, we strive to enhance the intelligence of our systems, making them capable of performing tasks beyond current human limitations. Our goal with Paytm Intelligence (Pi) is to leverage automated decision-making to drive efficiency and minimize errors, giving us a significant edge in the competitive landscape. In recent years, our relentless pursuit of innovation has resulted in the automation of various processes, leading to enhanced user experiences and operational efficiencies. This unique opportunity allows us to address large-scale challenges while ensuring security and compliance.We have developed several essential components, including our AI Agentic Platform, a foundational model for payments and credit, a voice-enabled interaction stack, and an advanced DIY feature engineering toolkit.Our mission is to create a comprehensive suite of AI-driven solutions for enterprises and small businesses that empower them with innovative products. Our initiatives, such as the QR code and soundbox, have already transformed the merchant experience, and we are excited to extend this impact with our upcoming agentic products.If you are passionate about leveraging AI to make a difference, we invite you to explore this opportunity further.What We Are BuildingWe are constructing a full-stack AI Agentic Platform that facilitates customer, sales, and internal workflows seamlessly. Key capabilities include:* Multi-agent, multi-modal customer interactions.* Agents capable of managing decision hubs.* Evaluation engines for scoring and diagnosing interactions.* Insight generation from chat interactions to refine SOPs, tools, and products.

Role overview The Director of Engineering at Euromonitor International provides leadership for engineering teams in Bengaluru, Karnataka, India. This position shapes the approach to technology projects, sets team priorities, and ensures that engineering practices support the company’s business objectives. What you will do Guide and mentor engineers to deliver reliable, high-quality technology solutions Supervise the development of applications that enable clients to access key insights Establish clear strategies to align engineering work with broader company goals

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

About AlphaSense:AlphaSense is the trusted market intelligence platform used by leading companies to eliminate uncertainty in their decision-making. Our sophisticated AI-driven search technology extracts actionable insights from a vast array of reliable content, including equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research from our clients.In 2024, AlphaSense's acquisition of Tegus enhances our commitment to empowering professionals with AI-driven market intelligence. Together, we are set to drive innovation and expand our content offerings, enabling users to glean deeper insights from an extensive range of resources. With over 6,000 enterprise customers, including a significant portion of the S&P 500, AlphaSense is headquartered in New York City and employs more than 2,000 people globally, with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join our dynamic team!About the RoleWe are in search of a skilled engineering leader who will revolutionize how we design and operate AI systems at scale. You will collaborate with a team of exceptional engineers dedicated to building state-of-the-art AI applications, ensuring that our innovations operate flawlessly for our enterprise clientele.This is a remarkable opportunity for a seasoned engineer who excels in developing robust platforms, mentoring talented teams, and driving engineering excellence. You will have the autonomy to shape our technical architecture while engaging with cutting-edge AI models and systems that facilitate market intelligence for some of the world’s foremost companies.What You’ll DoArchitect for Scale: Create and implement distributed systems that facilitate AI agents handling thousands of requests per hour, ensuring reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop comprehensive testing strategies, observability systems, and CI/CD pipelines that preemptively identify issues before they affect customers.Lead Through Expertise: Guide a team of intelligent, motivated engineers, sharing your expertise in developing production systems that maintain high reliability.

Join Our Innovative TeamAbout EmaEma is at the forefront of developing the world's largest agentic AI platform aimed at transforming enterprise productivity. Our cutting-edge technology empowers organizations to delegate repetitive tasks to Ema, the Universal AI employee, achieving remarkable efficiency improvements of up to 10 times. Founded by former leaders from Google, Coinbase, Flipkart, and Okta, we possess extensive expertise in product development and scaling. Our team consists of exceptional engineers hailing from prestigious companies such as Google, Microsoft Research, Facebook, Square, and Coinbase, as well as graduates from renowned institutions like Stanford, MIT, UC Berkeley, CMU, and the IITs.Having raised over $60 million from leading investors, including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and notable angel investors like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz, Ema is headquartered in Silicon Valley with an additional hub in Bangalore, India. This hybrid role requires in-office attendance three days a week.Position OverviewAs the Engineering Lead within our Customer Value Engineering (CVE) team, you will play a crucial role in realizing our mission to reshape the future of work through the Universal AI Employee. You will lead the design of scalable, secure, and observable AI-driven workflows, translating customer aspirations into enterprise-grade solutions that yield measurable results. Your responsibilities will encompass everything from discovery workshops to production deployments.Key Responsibilities:Workflow Discovery & Solution Design: Facilitate discovery workshops to gain insights into human workflows, pain points, data flows, and integration requirements. Transform business goals into comprehensive AI architecture blueprints that address integration, data management, security, and success metrics. Create and update “AI-Employee” design documents to guide the implementation process from blueprint to service level objectives (SLOs).Data Integration & Action Building: Utilize declarative connectors and APIs to ingest, normalize, and secure data from various enterprise systems (CRM, ERP, ATS, etc.). Develop and maintain reusable action blocks using REST/SOAP/RPA and seamlessly integrate them into agent-based workflows.Agentic Reasoning & Prompt Engineering: Construct and compose reasoning agents using state-of-the-art frameworks (e.g., LangChain, Semantic Kernel). Optimize prompts, establish memory management protocols, and define mesh topologies to facilitate robust agentic reasoning. Oversee prompt evaluation, experimental design (A/A, A/B), and rollback strategies.Human-AI Interaction: Define and implement user interaction paradigms to ensure seamless integration between human users and AI systems.

About AlphaSense: AlphaSense empowers the world's leading companies to eliminate uncertainty in decision-making. Our AI-driven market intelligence platform delivers critical insights from a trusted array of public and private content, including equity research, company filings, event transcripts, expert calls, and news. Our commitment to innovation was further strengthened by the acquisition of Tegus in 2024, enhancing our ability to provide unparalleled insights and accelerating our growth. With over 6,000 enterprise clients, including many from the S&P 500, AlphaSense, founded in 2011 and headquartered in New York City, employs more than 2,000 individuals worldwide across various offices including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us in making a difference!About the RoleWe are in search of a seasoned engineering leader to redefine the construction and operation of AI-powered systems at scale. In this role, you will collaborate with a team of exceptional engineers who have developed state-of-the-art AI applications. Your goal will be to instill world-class engineering practices that ensure our innovations deliver consistent reliability for our enterprise customers.This position offers a unique opportunity for an experienced engineer passionate about building resilient platforms, mentoring talented teams, and fostering engineering excellence. You will have significant autonomy to influence our technical architecture while engaging with cutting-edge AI models and systems that drive market intelligence for the leading companies globally.What You Will DoArchitect for Scale: Design and deploy distributed systems that enable AI agents to handle thousands of requests per hour, ensuring optimal reliability, performance, and cost-effectiveness.Build Engineering Excellence: Develop thorough testing strategies, observability frameworks, and CI/CD pipelines that proactively identify issues before they reach customers.Lead Through Expertise: Guide a team of bright and motivated engineers, sharing your expertise in developing production systems that maintain high availability.

Join our innovative team as a Senior Generative AI Engineer for one of Weekday's esteemed clients.Salary range: ₹30,00,000 - ₹40,00,000 per annumMinimum Experience: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will spearhead the AI component of our product, crafting intelligent functionalities tailored for enterprise clients. Your focus will be on delivering robust, production-ready AI systems that prioritize reliability, observability, and comprehensive evaluations. You will oversee the complete process from model development to user interface, rolling out impactful features such as the CS Copilot and advanced document understanding capabilities.Key ResponsibilitiesDevelop and lead the CS Copilot initiative, focusing on speech-to-text (STT) pipelines, real-time transcription, and LLM-based recommendations.Design LLM-enabled document comprehension features to derive structured data from unstructured enterprise documentation.Oversee the end-to-end management of AI feature user interfaces, integrating model functionalities seamlessly.Create and uphold a robust evaluation framework to assess AI feature quality and identify potential regressions.Guide model selection and integration strategies, balancing performance with cost-effectiveness.Ensure the reliability of the AI platform by establishing observability, fallback protocols, and graceful degradation methods.Work collaboratively with product teams, customer success representatives, and full-stack engineers to improve usability and foster user trust.

(P-1384) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the world's most significant challenges—from bringing forth the next mode of transportation to fast-tracking medical innovations. Data ingestion into the Lakehouse is a crucial investment area for Databricks, serving as a fundamental enabler for Data and AI workflows. The Lakeflow Connect team is focused on addressing this challenge by offering ready-to-use, user-friendly connectors for a diverse array of data sources, including enterprise applications (such as Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. As a pivotal component of Lakeflow and Data Engineering, Connect also represents a vital platform capability. Every facet of Databricks (Dashboards, Notebooks, SQL, AI) relies on ingestion capabilities, and the individual in this role will collaborate closely with other products to integrate Connect seamlessly into these platforms. We are seeking a seasoned leader to manage our Connect organization in India. This presents a fantastic opportunity to spearhead a key strategic initiative for Databricks. The ideal candidate will have a proven track record in leading teams that develop Data infrastructure and possess a keen interest in managing product-centric organizations. Additionally, the ability to effectively collaborate across time zones and organizational boundaries is essential. The impact you will have: Address significant business needs on a large scale by leveraging your software engineering expertise. Guarantee consistent milestone delivery and align closely with the field while working collaboratively with product leadership. Adapt the organizational structure to align with long-term initiatives, fostering robust teams with effective communication architecture. Oversee technical debt management, including long-term architectural decisions, while balancing the product roadmap. Engage in and lead technical, product, and design discussions. Build, manage, and operate highly scalable cloud services. Nurture team leaders through coaching, mentorship, and growth opportunities. Partner with other engineering and product leaders on planning, prioritization, and staffing. Foster a culture of excellence within the team while leading with empathy. What we look for: 15+ years of experience in developing and supporting large-scale distributed systems. Expertise in building, nurturing, and managing high-performance engineering teams. Proficiency in collaborating with cross-functional teams to achieve common goals. Strong leadership skills with a focus on empowerment and team development. Excellent communication and interpersonal skills.

Role overview Jiostar seeks a Senior Director of Engineering to lead and support engineering teams based in Bengaluru. This senior leader helps define project direction, guides technical delivery, and aligns engineering efforts with company priorities. What you will do Oversee engineering projects from initial planning to final delivery Support teams as they develop technology solutions that address business needs Foster new ideas and encourage technical improvements within the engineering group Requirements Extensive background in engineering management Strong grasp of engineering principles and practices Proven record of leading technology development teams successfully Location This role is based in Bengaluru.