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Principal Software Engineer Database Store (PMTS) | Hyderabad, India Full-Time | Software Engineering | Salesforce Build the Future of Enterprise-Grade Cloud Databases at Massive Scale Join Salesforce s Salesforce Database (SDB) team in Hyderabad, where we design and build a highly available, resilient, and scalable distributed storage system powering Salesforce s core enterprise applications on public cloud infrastructure. We re pioneering next-generation cloud computing technologies with a strong focus on transactional and distributed systems that deliver world-class reliability and performance. If you are a seasoned software engineer or technical leader with deep expertise in RDBMS, distributed databases, and scalable storage architectures, this is your chance to drive innovation in enterprise cloud database technology at one of the world s fastest-growing tech companies. What You ll Do Lead the design, architecture, and hands-on development of scalable, fault-tolerant, and resilient distributed transactional systems Build and optimize highly available data storage solutions supporting mission-critical Salesforce applications Develop clean, high-quality code primarily in Java or C within Unix/Linux environments, applying modern OOP techniques and design patterns Utilize telemetry and metrics-driven development to ensure operational excellence and system health Collaborate in an Agile development environment, contributing to continual team process improvement Mentor junior engineers and actively participate in code reviews and testing to maintain high-quality standards Solve complex challenges related to clustering, system programming, and cloud-native deployment Work closely with cross-functional teams to innovate and deliver incremental, reliable system improvements on public cloud platforms Employ knowledge of Kubernetes, public cloud APIs, and distributed systems internals to optimize deployment and scalability Qualifications & Skills 15+ years of professional software engineering experience, or M.Tech with 12+ years of relevant experience Proven track record in designing and delivering large-scale distributed and transactional systems in enterprise production environments Strong proficiency in Java or C programming on Unix/Linux platforms Deep understanding of relational databases, distributed systems architecture, and fault-tolerant storage Experience using metrics, telemetry, and monitoring tools to drive system improvements and operational reliability Familiarity with Agile methodologies and commitment to continuous delivery and improvement Strong leadership skills with the ability to mentor, collaborate, and influence within a dynamic engineering team Practical knowledge of cloud infrastructure, Kubernetes, and deployment automation is highly desirable Benefits & Perks Comprehensive benefits including health and well-being reimbursements, parental leave, adoption and fertility support Access to world-class enablement and continuous learning via Trailhead and other platforms Regular 1:1 coaching sessions with executive leadership for career growth and mentorship Opportunity to participate in Salesforce s 1:1:1 philanthropy model and give back to the community Work in a fast-paced, metrics-driven, and collaborative culture focused on innovation and excellence

Software Engineering PMTS (SDET) Software Engineering | Hyderabad, India | Full-Time About the Role Join Salesforce s Service Cloud team as a PMTS Q3 Engineer (Software Development Engineer in Test) focused on quality, automation, and engineering efficiency. You will work on cutting-edge customer service platforms that leverage AI-powered chatbots, unified communications, and real-time CRM integrations. The Q3 Engineering team is a highly accomplished group passionate about quality, tooling, and innovation. As a senior engineer, you will influence product design, quality culture, and delivery across multiple teams, ensuring trust and excellence. Key Responsibilities Lead and coordinate efforts to deliver high-quality software products across multiple scrum teams. Own complex and ambiguous features with a deep understanding of the Salesforce Service Cloud application. Define and implement quality assurance processes, automation frameworks, and validation techniques. Mentor junior engineers, influence quality methodologies, and drive best practices across teams. Participate actively in design reviews, test plan creation, and cross-team technical discussions. Develop, review, and maintain sophisticated automated test frameworks and scripts. Monitor feature quality, identify gaps, and lead initiatives to improve test coverage and automation health. Collaborate closely with product management and engineering to align quality efforts with business priorities. Foster a collaborative environment to encourage knowledge sharing and continuous improvement. Use telemetry, metrics, and data-driven insights to influence testing strategies and product quality. Required Skills & Experience 15+ years of relevant technical experience in software engineering and testing. Strong programming skills in Java, JavaScript, or similar languages. Deep understanding of system architecture, operating systems, databases, and object-oriented programming. Hands-on experience designing test plans, automation frameworks, and test specifications. Proficiency with testing methodologies, tools like Selenium WebDriver, Jenkins, and version control systems (e.g., Git). Experience building and optimizing functional/UI automation tests and API testing frameworks. Familiarity with Agile development, Scrum, and quality management systems. Strong communication, collaboration, leadership, and mentoring skills. Ability to handle multiple projects, triage issues, and react quickly to changes. Bachelor s degree or equivalent in Computer Science, Engineering, or related field. Ability to pass Salesforce security and background checks. Highly Desirable Experience with open-source test tools and unit test automation frameworks. Familiarity with industry quality and usability best practices. Experience with CI/CD orchestration tools like Jenkins. Ability to optimize and automate processes, code, and testing efforts. Work on innovative, large-scale cloud platforms impacting millions of users worldwide. Collaborate with some of the top quality engineering experts at Salesforce. Be part of a culture that values trust, innovation, and continuous learning. If you want to lead quality initiatives in a fast-paced, cutting-edge environment and have a passion for excellence, apply today! Qualification : Bachelors degree or equivalent in Computer Science, Engineering, or related field.

What you will do Let s do this. Let s change the world. In this vital role you will enhance our Salesforce ecosystem by facilitating seamless communication between stakeholders, developers, and administrators, and delivering solutions aligned with our business objectives. Roles & Responsibilities: Requirements Gathering and Analysis: Collaborate with stakeholders to document business requirements assist in translating them into technical specifications. Responsible for forecasting, procuring, and managing Salesforce licenses to support the needs of Product Teams. This role ensures optimal license utilization, compliance, and alignment with organizational requirements. Solution Design Support: Work with Salesforce teams to design scalable solutions that align with best practices. Stakeholder Engagement: Act as a liaison between Product Teams and Salesforce Platform, conducting workshops and training sessions where required. Data Analysis and Reporting: Analyze Salesforce data to uncover insights and maintain performance dashboards. Testing and Quality Assurance: Create and execute test plans to ensure system functionality. AI and Advanced Technologies: Leverage AI technologies like Salesforce Einstein for predictive insights and automation. Continuous Improvement: Stay updated on Salesforce advancements and recommend innovative solutions. Functional Skills: Must-Have Skills (Not more than 3 to 4): Experience as a Salesforce Business Analyst or in a similar role. Strong knowledge of Salesforce Sales Cloud, Service Cloud, and other core platform functionalities such as Salesforce Marketing Cloud. Experience with MS Office tools including Excel/Word/PowerPoint What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Master s degree and 1 to 3 years of Business Administration, Information Technology, or a related field experience OR Bachelor s degree and 3 to 5 years of Business Administration, Information Technology, or a related field experience OR Diploma and 7 to 9 years of Business Administration, Information Technology, or a related field experience Preferred Qualifications: Good-to-Have Skills: Experience with AI technologies, including Salesforce Einstein, AgentForce and OpenAI (e.g., ChatGPT) Proficiency with tools like JIRA, Tableau, or equivalent data visualization tools. Exceptional analytical, problem-solving, and communication skills. Experience with collaboration tools like MS Teams/QUIP/Confluence Professional Certifications Salesforce Administrator (mandatory) Salesforce Business Analyst (mandatory) Salesforce AI Associate (mandatory) SAFe Certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

Description Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be a key member of the Quality Engineering team in India as we build the India organization, while working with experts worldwide. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a small, friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: As a Quality Engineer for the Salesforce AI Cloud, you will be responsible for leading the design, development and execution of comprehensive test plans/quality strategies with emphasis on automation . You will collaborate closely with product & engineering teams, actively contributing to the quality of new features while ensuring successful execution of regression tests in various environments. You will be working in a fast phased environment and will be expected to understand complex backend AI flow systems/dependencies, identifying potential risks, and strategically plan and execute comprehensive testing efforts to ensure the stability, reliability and quality of the feature and release. Skills needed for role: * Strategic and Tactical leadership : Experience leading analysis of coverage gaps and writing E2E and integration tests, partnering with teams to drive service level test coverage * Technical Expertise: Technical excellence and leadership required in identifying, developing and maintaining tests involving API, databases and web UI tests. Strong knowledge of automation tools and continuous automation systems. * Cross Team Collaboration: Ability to work with stakeholders (internal customers) from multiple organizations that leverage our central platform for custom applications. Collaborate with them to determine key shared usage patterns to prioritize test coverage of, as well as provide guidance to these customers on how to proactively test their application s integration with the platform. * Strong knowledge and experience of Java/Python/Selenium/CD pipeline configurations * Excellent communication skills: Experience generating reports, presenting and holding the quality bar for new features & release * Experience working in Global teams: Ability to work and partner with peers and other partner teams across timezones. * 8+ years of QE experience and 2+ years of experience leading projects and partnering/leading junior members of the team. Nice to have skillsets (or skillsets expect to develop in this role): * Understanding of LLM Model hosting with Sagemaker * Understanding LLM Finetuning and Inferencing * Testing integrations with Cohere, Anthropic, Dolly, Google, etc. as well as internal models * Sagemaker GroundTruth integration for data labelling, Bedrock for model serving * Experience with Azure Open AI * Experience with Tableau around creating dashboards for reporting What the team does: * Center of Excellence for Quality within the AI Platform teams, driving excellence through automation, tools, and streamlined processes (evangelizing shift left methodologies) . * Building/enhancing test frameworks/tooling for the easy creation and maintenance of integration and end-to-end tests. * Proactively drive quality by monitoring and reporting of test stability metrics for pre-prod & Prod environments through dashboards, triaging and filing and follow up of bugs. * CUJs(Critical User Journey test) for cross-cloud integration and apps * Configure tooling/runners for automated tests, used by scrum teams * Configure various test environments such as setting up core test env hawking test env connectivity * Define and measures Quality metrics (code coverage, endpoint coverage, service coverage, etc.) goals are met for the ML foundations * Automation strategies and framework support for all kinds of testing * Identify risks with releases, deployments, etc. * Support TAM expansion to multiple geographies and monitoring platform stability * Daily management of Integration tests pass rates in Test, App-Dev, Stage & Prod environments - bugs created/assigned if failures not being addressed, building test result dashboards and simplifying feedback/debugging process for engineers

We are seeking a Salesforce QA Engineer with expertise in Salesforce B2C & B2B Commerce Cloud, Sales Cloud, and Service Cloud. The ideal candidate will have a strong quality assurance background, experience with automation frameworks, and the ability to develop and execute comprehensive test plans for Salesforce implementations. Responsibilities Develop and execute comprehensive test plans and strategies for Salesforce implementations. Ensure quality and reliability of Salesforce B2C & B2B Commerce Cloud, Sales Cloud, and Service Cloud. Troubleshoot and resolve complex issues related to Salesforce applications. Utilize QA tools and frameworks such as Selenium, QTP, TestNG, JIRA, and HP ALM. Work with automation frameworks and scripting languages such as Java, JavaScript, and Apex. Analyze Salesforce architecture, data models, and integration points to improve test coverage. Collaborate with cross-functional teams in a fast-paced, agile environment. Provide detailed test reports, defect tracking, and continuous improvement recommendations. Required Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field. 5+ years of experience in Salesforce QA, focusing on Salesforce Commerce Cloud, Sales Cloud, and Service Cloud. Strong understanding of Salesforce architecture, data models, and integrations. Experience with test automation frameworks and manual testing methodologies. Excellent analytical, troubleshooting, and problem-solving skills. Strong written and verbal communication skills. Preferred Certifications Salesforce Certified Administrator Salesforce Certified Platform App Builder Salesforce Certified Sales Cloud Consultant Salesforce Certified Service Cloud Consultant If you have a passion for quality assurance and Salesforce testing, we invite you to apply today! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Conversational AI Lead / Architect Location: Bangalore | Employment Type: Full-time About the Role We are looking for a skilled and experienced Conversational AI Lead/Architect to join our team at Avaamo. In this role, you will be responsible for designing, developing, and implementing cutting-edge Conversational AI solutions. As a subject matter expert, you'll work closely with IT managers, business teams, and customers to understand their requirements and deliver high-impact solutions that enhance the Avaamo platform. Responsibilities Lead the design, coding, and implementation of Avaamo s Conversational AI products, ensuring solutions meet both technical and business needs. Collaborate with IT managers and business stakeholders to gather requirements and translate them into actionable technical solutions. Drive the implementation of solutions using Conversational Design principles and best practices. Develop, deploy, and maintain customized extensions to the Avaamo platform tailored to specific customer requirements. Provide technical guidance and training sessions to partner and customer development teams, ensuring smooth onboarding and ongoing success. Evaluate reported defects and prioritize them for resolution, ensuring product quality and customer satisfaction. Travel to customer locations for on-site support, providing hands-on assistance and expertise as needed. Document best practices, implementation guidelines, and "how-to" guides to support customer and partner teams in leveraging Avaamo s products effectively. Requirements (Mandatory) 6+ years of strong programming experience in JavaScript, HTML, and CSS. Proven expertise in creating and consuming REST APIs and SOAP services. In-depth knowledge of web technologies and current industry trends. Solid understanding of security in web applications and services. At least 2 years of experience using Node.js, with a deep understanding of its architecture. Hands-on experience with Git and other version control systems. Experience deploying web applications on Linux servers in production environments. Familiarity with deployment processes and CI/CD tools. Exceptional communication skills, with the ability to work with both technical and non-technical teams. Minimum of 2 years of experience in client-facing roles, working closely with customers to deliver solutions. Good to Have Full-stack development experience, with expertise in UI/UX design or insights. Working knowledge of AI, ML, and NLP technologies. Experience with enterprise system integrations, such as MS Dynamics CRM, Salesforce, ServiceNow, and MS Active Directory. Experience implementing Single Sign-On (SSO) in web/mobile applications. Ability to quickly learn new technologies and manage small engineering teams. At Avaamo, we re redefining the future of Conversational AI. We specialize in creating advanced conversational interfaces that solve high-impact challenges for enterprises. Join our team and contribute to pioneering AI-driven technologies that are transforming how businesses engage with customers and employees.

Position: Senior Manager, Salesforce Operations Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) leads the Connected Operations Cloud, empowering industries like transportation, agriculture, and manufacturing to harness IoT data for smarter, safer, and more sustainable operations. With a global impact and a fast-scaling culture, Samsara offers unique opportunities to solve real-world challenges with cutting-edge technology. Role Overview Samsara is seeking a Senior Manager, GTMS (Go-to-Market Systems) Operations to lead the Salesforce operations team in Bangalore. Reporting to the Sr. Director of Sales Systems, this role is pivotal in building Samsara s India-based GTMS operations from the ground up, ensuring performance, scalability, and alignment across Sales, Finance, Product, and Business Technology functions. The ideal candidate is an experienced Salesforce operations leader with a passion for systems stability, stakeholder alignment, and continuous process improvement, coupled with strong people leadership and cross-functional collaboration skills. Key Responsibilities Operational Excellence & Governance Lead end-to-end incident and problem management across the Salesforce and GTMS ecosystem. Drive operational stability, reliability, and proactive issue resolution across sales systems. Manage system releases, updates, and quality control processes. Cross-Functional Collaboration Act as a bridge between Sales, Finance, Product, and IT to align systems strategy with business outcomes. Ensure seamless data flow and process integration across enterprise systems. Maintain transparent, regular communication with senior stakeholders. Strategic Planning & Cost Management Build operational strategies that support scale and growth in GTM functions. Optimize resource allocation and control budget and cost efficiency. Support and execute on long-term product and process roadmaps. Team Leadership & Development Build, mentor, and manage L2/L3 operations teams based in India. Foster an inclusive, high-performing team culture with strong talent development practices. Define KPIs and continuously improve team performance through coaching and process optimization. Vendor, Compliance & Risk Management Manage third-party vendor relationships and evaluate tools to enhance operational delivery. Enforce compliance, data security, and privacy standards within the systems landscape. Minimum Qualifications Bachelor s degree in IT, Business, or a related field (Master s preferred). 3+ years experience in a Salesforce-focused operations leadership role. Proven expertise in Salesforce Sales Cloud, CPQ, and GTM systems integration. Deep operational experience in system support, QA, and incident management. Strong executive presence, communication, and stakeholder influencing skills. High level of business acumen and ability to align tech strategy with business goals. Ideal Traits Strategic thinker with a passion for customer-centric system design. Strong collaborator across technical and non-technical teams. Agile leader ready to scale operations in a hyper-growth, data-driven environment. Curious about using AI and automation to elevate system reliability and performance. Qualification : Bachelors degree in IT, Business, or a related field (Masters preferred).

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Position Title: Lead AI/ML Engineer Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is seeking a seasoned Lead AI/ML Engineer to lead cutting-edge initiatives in artificial intelligence and machine learning. This role requires deep technical expertise in AI/ML, including deep learning, NLP, computer vision, and generative AI, combined with strong leadership skills to manage teams and drive innovation. You will collaborate closely with stakeholders to deliver high-impact solutions and play a key role in shaping the company s AI-driven digital transformation. Key Responsibilities Lead end-to-end development of AI/ML solutions across use cases involving machine learning, deep learning, computer vision, NLP, and generative AI. Design and implement scalable models and algorithms, ensuring performance, accuracy, and interpretability. Collaborate with product owners, engineers, and business stakeholders to align AI/ML initiatives with strategic objectives. Mentor and guide data scientists and ML engineers to elevate technical quality and delivery standards. Continuously evaluate emerging AI technologies, frameworks, and methodologies to enhance team capabilities. Contribute to innovation strategy by identifying new business opportunities driven by AI/ML. Ensure data and model governance, ethical AI practices, and responsible deployment of AI solutions. Required Skills & Tools Core Competencies: Strong hands-on experience in machine learning, deep learning, NLP, computer vision, and generative AI. Expertise in Python (primary), with additional knowledge of R, SQL, Java, or C++. Deep understanding of statistics, linear algebra, probability, and algorithm design. Frameworks & Tools: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face, spaCy, Scikit-learn, etc. Data processing tools like Pandas, NumPy, and Spark. Version control and CI/CD tools (e.g., Git, MLflow, Docker, Airflow). Methodologies: Proficient in Agile development and model lifecycle management. Experience with productionizing AI models and deploying them on cloud platforms (AWS, Azure, GCP). Experience 8 12 years of experience in AI/ML, Data Science, or related domains. Minimum 8+ years in a leadership or technical lead role driving successful AI/ML initiatives. Proven record of delivering high-impact AI/ML projects at scale. Experience mentoring and managing AI/ML teams in collaborative, cross-functional environments. Day-to-Day Activities Direct and oversee AI/ML model development, validation, deployment, and monitoring. Review project designs, provide technical oversight, and conduct code/model reviews. Drive research and experimentation to apply novel AI methods to solve real-world problems. Support proposal development and client engagements with AI/ML subject matter expertise. Foster a culture of continuous learning, innovation, and data-driven thinking. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Relevant certifications (e.g., TensorFlow, AWS Machine Learning, Azure AI Engineer) are a plus. Soft Skills Strong leadership, team management, and mentoring capabilities. Excellent communication and stakeholder engagement skills. Strategic thinking with a passion for innovation and emerging technologies. Ability to thrive in a dynamic, fast-paced environment and lead through ambiguity. Diversity & Inclusion at Synechron Synechron is committed to a diverse and inclusive workplace. Through our Same Difference DEI initiative, we celebrate unique backgrounds and perspectives while fostering a respectful, empowering environment. We welcome applications from candidates of all identities and provide support through mentoring, internal mobility, and flexible work arrangements. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

Vice President (VP), Product Management Tableau | Bangalore, India Full-Time | Product Management | Salesforce Lead Product Innovation for Tableau s Analytics Portfolio & Drive Customer Success Salesforce is seeking a visionary Vice President of Product Management for our Tableau product portfolio. In this strategic leadership role, you will own the end-to-end product lifecycle, driving innovation, execution, and customer value across Tableau s analytics and AI-driven offerings. As the India site leader for Product Management, you ll foster a collaborative, customer-centric product culture while partnering closely with global teams, sales, marketing, and engineering to accelerate growth and deliver next-generation analytics experiences. What You ll Do Lead and scale a high-performing team of product managers across Hyderabad and Bangalore, guiding the full product lifecycle from market research and vision setting to agile execution and go-to-market enablement Define and drive the Agentforce product strategy, leveraging Salesforce AI & automation capabilities to deliver autonomous, agentic analytics that enhance decision-making and user productivity Act as the India product management site leader, aligning regional efforts with global Tableau and Salesforce Analytics strategies to build a cohesive product culture Collaborate with cross-functional leaders, including engineering and sales, to foster innovation, increase velocity, and improve product quality Champion customer-focused product design by translating feedback and use cases into actionable, measurable solutions Build strategic customer relationships to validate concepts, gather insights, and ensure customer success Stay ahead of industry trends in analytics, BI, AI, and data platforms to drive competitive differentiation and identify new opportunities Deliver compelling product narratives and demos to internal teams, customers, and executives, clearly articulating Tableau s value proposition Promote a culture of experimentation and data-driven decision making using A/B testing, telemetry, and user research Mentor and develop emerging product leaders, fostering growth in product thinking, technical expertise, and leadership What You ll Bring 15+ years of product management experience, ideally in Analytics, Data, or AI-driven software products Proven ability to lead and inspire global, cross-functional product teams from inception through scale Strong people leadership skills, with a track record of building creative, collaborative teams and aligning performance with business goals Exceptional organizational, analytical, and communication skills, with experience in senior business discussions Willingness to travel regularly between Hyderabad and Bangalore, plus biannual visits to the US Deep passion for building customer-centric products and mentoring future product leaders Experience driving product vision and roadmap in complex, fast-paced environments Work at the forefront of analytics innovation with Tableau and Salesforce AI Be a key leader in a fast-growing product organization with significant impact on global strategy Thrive in a culture driven by collaboration, mentorship, and Salesforce s core values Access world-class learning, leadership coaching, and career development opportunities Competitive compensation and comprehensive benefits

Lead Sales Data Operations Location: Bangalore, India (On-site) About Rubrik Rubrik is the fastest-growing enterprise startup in Silicon Valley, revolutionizing cloud data management. Following our IPO in April 2024, we reached $1B ARR with 38% YoY growth as of Q3 2025. Leveraging AI and cutting-edge technology, we solve complex challenges to drive innovation and efficiency across sales and beyond. About the Role Rubrik is seeking a proactive and detail-oriented Sales Data Operations Lead to oversee and elevate data management practices within our Bangalore office. This leadership role will involve managing a team of Data Operations Analysts, driving data governance initiatives, and exploring AI-powered solutions to enhance data quality and operational efficiency. If you thrive in a fast-paced environment and are passionate about maintaining clean, accurate sales data, this role offers a unique opportunity to impact the future of data-driven sales operations. Key Responsibilities Leadership & Team Management Lead, mentor, and support a team of 2-3 Data Operations Analysts. Foster a high-performing, collaborative team environment. Delegate tasks effectively and provide performance feedback to meet goals. Data Quality & Maintenance Oversee CRM data entry and ensure accuracy and timeliness of account records. Utilize enrichment tools like D&B Hoovers and ZoomInfo for data validation. Regularly clean duplicate records, merge accounts, and update outdated information. Manage data change request queues while adhering to SLAs. Conduct audits to detect and resolve data inconsistencies. Cross-Functional Collaboration Work closely with Marketing, Customer Support, and IT teams to align on data governance policies. Lead monthly Data Operations status meetings with key stakeholders. Actively gather and incorporate feedback to improve data processes. Data Governance & Continuous Improvement Analyze root causes of data quality issues and implement corrective measures. Innovate and implement solutions for improved data management. Reporting & Documentation Maintain records of data maintenance activities and audit results. Prepare regular reports on data quality and operational metrics for senior leadership. Document processes clearly to support audits and team training. Required Qualifications 5+ years experience with Salesforce Sales Cloud and sales data operations. Minimum 3 years managing small teams (2-5 analysts). Strong expertise in data governance and quality tools such as ZoomInfo and D&B Hoovers. Detail-oriented with exceptional organizational and time management skills. Experience with CRMFusion DemandTools is a plus. Excellent collaboration, analytical, and problem-solving skills. Strong written and verbal communication skills in English. Proactive, innovative approach to process improvement. Bachelor s degree or equivalent experience. Reporting This role reports to the Director of Sales Process & Systems based at Rubrik s US headquarters. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Through Zero Trust Data Security , we enable organizations to build resilience against cyberattacks, insider threats, and operational disruptions. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and rapid recovery in any scenario.

GenAI Engineer Location: Bangalore, India Office About the Team Rubrik's IT team is driving AI-powered transformation to enable smarter automation and scalable data solutions that protect and empower the company's mission. As part of the newly formed IT AI team, you'll be instrumental in developing AI agents and workflows to unlock the potential of generative AI in data engineering. About the Role We are seeking an experienced GenAI Engineer to join our Data Engineering team, focusing on building and deploying AI agents and workflows powered by large language models (LLMs). You will integrate data sources and develop MCP clients/servers to support LLM-based bots, collaborating closely with data scientists, engineers, and business teams to enhance GenAI adoption and deliver advanced data solutions. Key Responsibilities Design and develop data integrations using MCP protocols or traditional extraction methods. Build scalable data pipelines for GenAI model training and deployment using tools like Snowflake Cortex, Gemini Agentspace, and Databricks LLM (Mosaic AI, RAG, Model Serving). Ensure data quality, integrity, and scalability for AI workloads involving both structured and unstructured data. Collaborate with business teams, data engineers, and application developers to create products that streamline processes and drive growth. Integrate data pipelines with existing infrastructure to enable seamless data flow and analytics. Support the data engineering team in producing high-quality data products for AI workloads. Experience You'll Need 1+ year of experience building AI agents or using Snowflake Cortex, Gemini Agentspace, or similar open-source tools. 3+ years of experience in data engineering focused on AI/ML workloads. 5+ years of experience in data analytics with Snowflake or Databricks platforms. Strong programming skills in Python, Java, or Scala. Familiarity with data storage solutions (Snowflake, Databricks) and APIs. Experience with cloud configuration and data governance. Knowledge of large language models (transformers) and frameworks like LangChain. Strong problem-solving skills and ability to thrive in a fast-paced environment. Preferred Qualifications Experience building AI agents and agentic workflows. Knowledge of MCP and Agent2Agent protocols. Understanding of generative models and their applications in data engineering. Familiarity with data governance and security best practices for GenAI workloads. Experience with Agile methodologies and collaboration tools like Jira and GitHub. Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is dedicated to securing the world's data with Zero Trust Data Security.Our platform, powered by machine learning, protects data across enterprise, cloud, and SaaS applications, helping businesses stay resilient against cyberattacks and operational disruptions.

Job Title: Lead Salesforce Engineer Location: Bangalore, India Job Type: Full-Time (Hybrid Work Model) Experience Level: 8+ Years About Eightfold: Eightfold AI is revolutionizing the way we think about skills, careers, and talent management. With over $410 million in funding and a valuation of over $2B, we are leading the industry with our AI-powered Talent Intelligence Platform. Our mission is to transform how organizations hire, develop, and retain talent, ultimately helping individuals transform their careers. Join a dynamic team of innovators and make a tangible impact on employment worldwide. Led by experts with backgrounds from Google, Facebook, and IIT, we re on a mission to redefine how talent is connected with opportunity. What You Will Do: As a Lead Salesforce Engineer, you will lead the design, development, and enhancement of Salesforce solutions, ensuring scalability and maintainability. You will be involved in both technical leadership and hands-on development, driving improvements while mentoring junior and senior developers. Key Responsibilities: Salesforce Solutions Design: Lead and architect the development of Salesforce solutions, including customizations, programming, and data migrations. Project Management: Participate in the planning and execution of Salesforce initiatives, leading the delivery of features, enhancements, and KTLO work items. Team Leadership: Mentor and guide a team of Salesforce developers, ensuring adherence to best practices and alignment with enterprise architecture. Code Reviews & Best Practices: Promote coding best practices, perform solution and code reviews, and ensure compliance with Salesforce best practices. Stakeholder Collaboration: Work closely with GTM systems, RevOps, and business teams to define and execute on Salesforce system enhancements. Technical Debt Management: Identify technical debt and propose design strategies to restructure or overcome existing limitations without compromising functionality. Agile/Scrum Methodologies: Use Agile practices to drive development, including sprint planning, standups, and retrospectives. Salesforce Development: Develop and deploy solutions using Apex, Visualforce, Lightning Web Components (LWC), Salesforce CPQ, Flows, and APIs. Salesforce Performance Optimization: Continuously monitor Salesforce performance, identifying areas for improvement and optimization. Knowledge Transfer & Post-Delivery Support: Coordinate post-delivery activities including support, documentation, and knowledge transfer. Proof of Concept: Lead the creation and demonstration of proof of concepts to address complex business needs. Cross-Functional Collaboration: Work with teams across departments to ensure effective integration and deployment of Salesforce solutions. Qualifications: Required Skills & Experience: 8+ years of experience in implementing Salesforce CRM capabilities, with strong expertise in Salesforce Sales Cloud, Service Cloud, CPQ, and Experience Cloud. Advanced proficiency in Salesforce development tools including Apex, JavaScript, VisualForce, LWC, SOQL, REST API, and Bulk API. Deep understanding of Salesforce architectures, data models, and best practices. Proficient in Salesforce deployment (Metadata API, ChangeSets, Version Control) and data governance (profiles, permission sets, data visibility). Expertise in middleware integration tools, data analysis, and ensuring data hygiene. Strong problem-solving skills with the ability to manage high-level software issues. Solid understanding of Salesforce security practices (e.g., profiles, permission sets, sharing settings). Familiarity with Agile/Scrum methodologies and experience with development cycles, including UAT and deployment. Strong verbal and written communication skills, including presentation skills. Bachelor s degree in Computer Science or related field. Good to Have: Salesforce Certifications (e.g., Salesforce Certified Platform Developer, Salesforce Certified Technical Architect). Exposure to middleware integration tools. Impactful Work: Play a key role in transforming the future of employment and talent management with AI. Growth Opportunity: Eightfold has received $410M in funding and boasts a $2B+ valuation, offering immense opportunities for career growth. Hybrid Work: Enjoy a flexible, hybrid work model that balances remote work with in-office collaboration twice a week in Bangalore or Noida. Inclusive Culture: We believe in equal opportunity and diversity in the workplace, welcoming individuals from all backgrounds. How to Apply: If you are an experienced Salesforce Engineer with a passion for solving complex business problems and leading innovative projects, apply today to join Eightfold AI s mission to reshape how talent and opportunity meet! Qualification : Bachelors degree in Computer Science or related field.

Job Title: AI Engineer Group: Platform & Energy Business Unit: CARIAD Business Unit India Location: Whitefield, Bangalore Experience: 5 to 9 years About CARIAD (Car, I Am Digital) CARIAD is an automotive software company that brings together the Volkswagen Group's software capabilities and builds upon them to drive innovation across the automotive industry. We are developing a unified technology and software platform, including a vehicle operating system, a vehicle cloud platform, and a new architecture for all Volkswagen Group brands. Operating under a licensing agreement with CARIAD SE in Germany, CARIAD India is at the heart of transforming automotive mobility through technology. Join us and become part of a team that is building the future of automotive software. With a talented team of over 360 experts at CARIAD India and 6,000+ global CARIDIANs, you will work on cutting-edge platforms and technologies, from firmware and bootloaders to AUTOSAR, Linux/QNX BSP, and service-oriented architecture-based middleware components. Job Description We are looking for an AI Engineer to join our team and contribute to developing innovative AI models and solutions for the automotive industry. As an AI Engineer, you will work with large language models (LLMs), deep learning frameworks, and natural language processing (NLP) techniques, creating impactful AI applications. You will play a key role in AI model development, training, fine-tuning, and integrating AI solutions across automotive platforms. Key Responsibilities: AI Model Development: Design, develop, and implement advanced AI models, specifically leveraging deep learning frameworks like TensorFlow, PyTorch, and Scikit-learn. LangChain Expertise: Utilize LangChain to integrate generative AI capabilities into platforms and applications, ensuring efficient and scalable AI implementations. Large Language Models (LLMs): Implement and fine-tune large language models (LLMs), exploring new ways to enhance their performance and apply them to real-world automotive challenges. NLP Techniques: Apply natural language processing (NLP) techniques to improve AI systems' understanding and processing of textual data. Data Handling: Work with large datasets, performing data preprocessing, cleaning, and analysis to ensure the quality and accuracy of AI models. System Integration: Collaborate with both frontend and backend teams to integrate AI solutions into automotive software platforms. Model Training and Fine-tuning: Lead the training of machine learning models, fine-tune them for specific use cases, and optimize for real-time applications in the automotive domain. Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to ensure successful AI application development and deployment. Required Skills and Experience: Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. AI Expertise: Proven experience in developing AI models, particularly using Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. LangChain Knowledge: Strong expertise in LangChain and its use in building generative AI solutions. Large Language Models (LLMs): Solid understanding of LLMs and practical experience implementing them in various applications. NLP Experience: Experience with natural language processing (NLP) techniques, including text processing, semantic analysis, and machine translation. Data Handling: Ability to work with large datasets, performing efficient data preprocessing, cleaning, and analysis. Frontend and Backend Systems: Hands-on experience in both frontend and backend systems, ensuring smooth integration of AI models into full-stack applications. Model Training: Experience in training and fine-tuning machine learning models, especially LLMs, to improve accuracy and performance. Good to Have: Automotive Domain Experience: Familiarity with the automotive industry and how AI can be applied to automotive systems, such as autonomous driving, in-vehicle infotainment, and smart diagnostics. Innovative Environment: Work on cutting-edge AI technologies and contribute to the digital transformation of the automotive industry. Career Growth: Opportunity to develop your career and grow within a global company that values creativity, innovation, and continuous learning. Collaborative Culture: Work alongside a talented and motivated team of experts from around the world to solve complex challenges. About CARIAD India CARIAD India is an integral part of the global CARIAD team, contributing to the advancement of automotive software technologies. By joining CARIAD India, you'll be part of a dynamic team driving innovation in the automotive industry, developing groundbreaking technologies, and creating a positive impact on the future of mobility. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Job Title: Senior Cloud Data Engineer Experience: 10+ Years Location: Bengaluru About Capgemini Invent: Capgemini Invent is the digital innovation, consulting, and transformation brand of the Capgemini Group. It brings together leading expertise in strategy, technology, data science, and creative design to help CxOs reimagine their businesses. We are a global business line dedicated to helping organizations envision and build what s next. Your Role: As a Senior Cloud Data Engineer at Capgemini Invent, you will design, develop, and maintain scalable data pipelines using advanced cloud technologies to ensure smooth data integration and efficient workflows. You will collaborate with cross-functional teams to deliver robust and optimized data solutions while ensuring compliance and security throughout the process. Key Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services. Optimize data storage and retrieval processes to ensure efficiency and accessibility. Ensure data security and compliance with industry standards, including data privacy laws. Manage large volumes of data, focusing on accuracy, integrity, and secure accessibility. Develop and refine data processes for data modeling, mining, and production. Implement quality checks, data validation, and monitoring of data flows. Collaborate with data scientists, analysts, and IT teams to meet data requirements. Work closely with data architects and modelers on project objectives and solutions. Troubleshoot and resolve issues in data pipelines, ensuring performance tuning and optimization. Develop and implement disaster recovery procedures to safeguard data. Ensure seamless integration of HR and other business data into cloud-based environments. Research new opportunities for data acquisition and discover additional uses for existing data. Stay up-to-date with the latest cloud technologies, data management practices, and trends, including Generative AI. Recommend and implement improvements to enhance data reliability, efficiency, and quality. Your Profile: 10+ years of experience in cloud data engineering. Proficiency with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data pipeline tools like Apache Spark, AWS Glue, or similar technologies. Strong programming skills in Python, SQL, Java, or Scala. Familiarity with Snowflake, Informatica, or similar tools is an advantage. In-depth knowledge of data privacy laws, security best practices, and data governance. Expertise in analyzing and interpreting complex datasets to derive actionable insights. Strong communication, collaboration, and problem-solving skills. Knowledge of database technologies, including SQL, Big Data, and Cloud-based systems. Passion for learning and keeping up with emerging technologies, particularly in Generative AI. Experience working in an Agile framework and managing multiple projects simultaneously. Ability to adapt to evolving priorities and business needs. What You Will Love About Working Here: Flexibility: Enjoy flexible work arrangements such as remote work or flexible hours, ensuring a healthy work-life balance. Career Growth: We offer numerous opportunities for career advancement and personal development, helping you explore diverse paths and expand your skills. Certifications & Learning: Gain valuable certifications in cutting-edge technologies, including Generative AI, to stay ahead of the curve. About Capgemini: Capgemini is a global business and technology transformation partner that helps organizations accelerate their dual transition to a digital and sustainable world. With a team of 340,000 professionals in over 50 countries, we are dedicated to making a tangible impact on enterprises and society. Trusted by clients for over 55 years, Capgemini uses its deep industry expertise and cutting-edge technologies such as AI, cloud, and data to unlock the full potential of businesses worldwide. In 2023, the group reported global revenues of 22.5 billion.

About the Job Join us as a Generative AI Engineer, where you ll design and develop cutting-edge AI-powered solutions that redefine creativity and innovation. Your work will push the boundaries of what s possible in content generation, from text and images to audio and beyond. In this job, you will: Research & Development: Stay up-to-date with the latest advancements in generative AI and deep learning. Contribute to the development of novel models, exploring innovative algorithms and methodologies. Model Architecture: Design custom generative models using neural network architectures like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and others tailored for specific applications. Data Processing: Prepare and preprocess large-scale datasets for model training. Apply techniques like data augmentation, normalization, and transformation to improve performance. Training & Optimization: Train generative models using frameworks like TensorFlow and PyTorch, optimizing for efficiency, speed, and quality. Hyperparameter Tuning: Fine-tune models for optimal performance, balancing convergence speed, stability, and output diversity. Evaluation Metrics: Develop metrics to assess the quality, diversity, and novelty of generated content. Continuously iterate and improve models based on these metrics. Deployment: Work with software engineers to integrate generative models into production systems, ensuring scalability, reliability, and performance. Collaboration: Partner with data scientists, machine learning engineers, designers, and product managers to translate business requirements into generative AI solutions. Documentation: Document research, experiments, and codebase thoroughly for internal use and external stakeholders. Continuous Learning: Stay informed on emerging technologies, attend industry events, and contribute to ongoing innovation. Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Engineering, or related fields. Strong foundation in machine learning, deep learning, and neural networks. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Hands-on experience with generative models like GANs, VAEs, and their practical applications. Solid understanding of data preprocessing, feature extraction, and model evaluation. Experience training and optimizing neural networks on large-scale datasets. Familiarity with cloud computing and distributed systems (AWS, Azure, GCP) is a plus. Strong problem-solving skills and a creative mindset. Excellent communication and teamwork abilities. A portfolio of generative AI projects or publications is a strong advantage. About Gramener We create software that tells data stories. For example: We advised a global computer manufacturer to focus on order delivery time, increasing NPS by 18% and generating incremental revenue of >$50M. We helped a foundation predict mosquito release points, reducing the process time from 3 weeks to 2 hours in their mission to protect 100M lives from malaria over 5 years. We re good at what we do, which is why we re growing 40% year-over-year. We re looking for passionate innovators to help us scale further. First-hand experience with C-suite-focused business advisory in data & analytics. Opportunities to collaborate with data science experts, domain champions, and client teams, being part of transformative change. A chance to experiment, take risks, and solve meaningful problems. Supportive colleagues and a dynamic environment you ll love working in. Key Metrics for Success Solution quality and business value delivered to clients. Successful project deliveries. Customer satisfaction on engagements. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Engineering, or related fields.

About NetApp NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload, or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization and beyond. "At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher-performing organization." George Kurian, CEO Job Summary As a Software Engineering Manager for the Solutions Integrations Engineering team at NetApp, you will lead a team focused on delivering solutions that meet customers' needs across engineered systems and cloud services. We work closely with ISVs and the startup ecosystem in the Virtualization, Cloud, AI/ML, and Gen AI domains to build solutions that matter for the customers. You will direct the activities of a software development team that designs, develops, tests, and owns the software lifecycle. You will impact the planning, execution, and delivery of parallel projects. Job Requirements Strong understanding of the software development lifecycle, quality assurance processes, and project management methodologies. Proven experience managing small to medium-sized software development teams. Demonstrated favorable results through providing leadership to the function. Ability to function independently in a fast-paced, dynamic environment with competing priorities. Experience with networking technologies, cloud technologies, and hybrid cloud solutions is a plus. Technical Skills: Understanding of the software development lifecycle. Strong proficiency in full-stack development MERN Stack, Python, Cloud, and modern ML frameworks. Knowledge of data storage, virtualization, and hypervisors such as VMware ESX and Linux KVM. Understanding of AI concepts, including server/storage architecture, batch/stream processing, data warehousing, data lakes, distributed filesystems, OLTP/OLAP databases, data pipelining tools, model training, inferencing, and RAG workflows. Experience with Unix-based operating system kernels and development environments (e.g., Linux or FreeBSD). Interface with customers and partners to resolve escalations. Education A minimum of 10+ years of experience as an individual contributor and 3 to 5 years as a technical manager. A Bachelor of Science degree in Electrical Engineering or Computer Science is required. A Master's or Ph.D. is preferred. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification. Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you. We are all about helping customers turn challenges into business opportunities. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better and to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches. We enable a healthy work-life balance. Our volunteer time-off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favorite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life. If you want to help us build knowledge and solve big problems, let's talk. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. Qualification : A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master Degree or a PhD or equivalent experience is required.

Description bout the organization: Einstein products & platform democratize AI and transform the way Salesforce builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc. We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes. About the team: Join the AI Cloud Quality Engineering team, and become a specialist on Salesforce's AI Platform and applications! You will be leading the Quality Engineering team as we build the best in class the AI capabilities at Salesforce. You'll get to work with latest technology in the AI space (including generative AI), and collaborate with the team and cloud to identify and run quality initiatives to support massive scale planned both in the short term and long term. We are a friendly team that has been working together for years - outside of quality, we focus on volunteering and other shared interests. Job description summary: Salesforce is seeking a highly experienced and dynamic Director of Software Engineering with a strong focus on Quality Assurance to lead our QA team within the AI Cloud division. The ideal candidate will possess extensive expertise in cross-functional team collaboration, effective negotiation skills, and a solid background in test automation. This role requires strategic planning capabilities, exceptional people management skills, and the ability to manage expectations with various stakeholders while setting out a clear roadmap for the team. You ll have the opportunity to enhance our test frameworks, work on test environment stability, and develop automation strategies for both platform and applications, including Copilots, Einstein for Service, and others. Key Responsibilities: Team Leadership and People Management: Lead, mentor, and develop a high-performing QA team within the AI Cloud division. Foster a collaborative, inclusive, and innovative team environment. Conduct regular performance reviews, provide constructive feedback, and facilitate professional growth for team members. Cross-Functional Collaboration: Partner closely with development, product management, and other departments to ensure the integration of robust QA processes within AI Cloud initiatives. Facilitate effective communication and collaboration across teams to identify and resolve quality issues promptly. Test Automation Management: Oversee the development, implementation, and maintenance of test automation frameworks and tools tailored for AI Cloud products. Ensure comprehensive test coverage and optimize testing processes for efficiency and effectiveness. Stay updated with the latest trends, technologies, and best practices in test automation and AI testing methodologies. Stakeholder Management: Manage expectations and communicate effectively with various stakeholders including senior leadership, product owners, and customers. Provide regular updates on QA activities, progress, and challenges, ensuring transparency and alignment with AI Cloud business objectives. Negotiate and prioritize testing efforts to align with business goals and AI product release timelines. Strategic Planning and Roadmap Development: Develop and implement a strategic QA roadmap that aligns with Salesforce AI Cloud s business objectives and product development goals. Set clear goals, milestones, and timelines for QA initiatives and projects. Continuously evaluate and enhance QA processes, methodologies, and practices to drive improvements in product quality and team efficiency. Quality Assurance and Continuous Improvement: Establish, enforce, and uphold quality standards, guidelines, and best practices across the QA team. Monitor and analyze QA metrics to identify areas for improvement and drive data-driven decision-making. Lead continuous improvement initiatives to enhance product quality, reduce defects, and improve team performance. Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field; advanced degree preferred. At least 14 years of experience in a similar senior QA management role within a fast-paced, agile software development environment. Strong expertise in test automation tools and frameworks (e.g., Selenium, JUnit, TestNG). Excellent leadership and people management skills with a track record of building and leading high-performing teams. Exceptional communication and negotiation skills, with the ability to manage expectations and influence stakeholders at all levels. Strong analytical and problem-solving abilities, with a focus on data-driven decision-making. Experience in managing cross-functional teams and collaborating with various stakeholders to achieve common goals. Ability to develop and implement strategic plans and roadmaps. Familiarity with CI/CD pipelines and DevOps practices is a plus. Experience with AI technologies, large language models (LLMs), and tools like AWS SageMaker is preferred but not mandatory. Knowledge of Salesforce products and platforms is a significant advantage. Salesforce is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive...

Description AI Cloud Team @Salesforce is looking for talented Senior Manager like you to to lead an exceptional engineering team in transforming the customer service landscape. Salesforce AI Cloud team brings the revolutionary AI technology to Salesforce CRM business at scale. The platform and application teams ( like Einstein Bots) under AI Cloud is looking for a Sr Manager to lead an exceptional engineering team to build and enhance the chatbots, ML models and services. You will leverage your experience in the areas of ML/NLP to help develop and refine our AI strategy and products like Einstein Bots, scaling the AI and ML services and ML Ops deployment pipelines while ensuring our stringent data privacy, security, residency, and compliance goals. Our mission is to deliver rich and compelling conversational experiences through multiple channels, enabling users to resolve issues faster and enhancing brand engagement and satisfaction. We're not just about development; we're about end-to-end ownership, directly improving customer experiences through a fast user feedback cycle. You'll be part of an industry-leading enterprise solution that leverages AI to automate customer service requests through friendly conversational interfaces, directly impacting millions of users worldwide.If you're passionate about AI, customer service experience, and making a real impact, the AI Cloud team is the place for you. Join us on this exciting journey of innovation and transformation. What You ll Do: Collaborate with Salesforce AI Cloud leaders to co-create and refine the AI strategy and roadmap. Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineer. Lead the design, development and maintenance of high-quality and highly available AI/ML models, services and ML Ops deployments, chatbot solutions etc. Partner with Product Managers and Technical Program Managers to closely track progress across multiple work-streams while delivering goals for varying stakeholders. Prioritize retaining and attracting top talent, continuously invest in the development of high-performing teams, and passionately champion the success of both the team and its individual members. Be the service owner and ensure that our services are reliable and consistently available. Collaborate with cross-functional teams to ensure that high availability is a priority in all stages of development and deployment. Promote a culture of open communication and support within the team ensuring all voices are heard and the team is fostering a collaborative environment. Drive continuous improvement initiatives by identifying inefficiencies and developing solutions to enhance quality, reduce costs, and improve timelines. Daily management of stand-ups as the Scrum Master for engineering teams. Occasionally chipping in to development tasks such as coding and feature verifications to assist teams with release commitments, to gain an understanding of the deeply technical product as well as to keep your technical skill sharp Required Skills: A related technical degree required. 12+ years experience building, scaling and maintaining large scale, complex AI products and/or services in the B2B (or B2C) SaaS industry. This experience should include building and sustaining large-scale solutions that operate around the clock, 24/7. 5+ years of people management experience, with at least 3+ years in leading teams focused on AI/ML initiatives. Knowledge and understanding of SaaS, PaaS, IaaS industry with hands-on experience of public cloud offerings (AWS, GAE, Azure). Experience in SaaS incident management, handling customer escalations and proactively working with customer success teams. Knowledge of professional software engineering best practices including coding standards, code reviews, source code management, continuous integration, build processes, testing, and operations. Experience with agile development methodologies is a must, and ScrumMaster experience is highly preferred. Exceptional verbal and written communication skills, along with strong organizational and project management abilities, and the capacity to work effectively in a distributed team setting. Passionate about engineering productivity, service ownership and customer success. Ability to be nimble, proactive, comfortable working with minimal specifications. Preferred Skills: Strong knowledge of Salesforce product and platform features, capabilities, and best use of it. Experience with NLP techniques and tools for text analysis and processing. Experience with cutting-edge machine learning techniques such as reinforcement learning, GANs, and advanced neural network architectures. Expertise in generative AI technologies, including experience with models such as GPT, DALL-E, and other generative adversarial networks (GANs). A track record of publications in top-tier conferences or journals and/or patents in the field of machine learning or data science. Knowledge of best practices and regulations around data privacy and security, such as GDPR, HIPAA, or CCPA. Ability to work with multilingual data sets and develop models that can handle multiple languages. Qualification : A related technical degree required.

Description About Salesforce We re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you ve come to the right place. Role Description Salesforce has immediate opportunities for software developers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line, and the industry. You will be working with a group of world-class engineers to build the breakthrough features our customers will love, adopt, and use while keeping our trusted CRM platform stable and scalable. The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level) We pride ourselves on writing high-quality, maintainable code that strengthens the stability of the product and makes our lives easier. We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower the individuals, the product, the company, and the customers they serve to thrive. Your Impact As a Lead Backend Software Engineer, your job responsibilities will include: Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency. Develop high-quality, production-ready code that can be used by millions of users of our cloud platform. Make design decisions on the basis of performance, scalability, and future expansion. Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features. Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level) Required Skills: Mastery of multiple programming languages and platforms 10+ years of software development experience Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++. Strong SQL skills and experience and experience with relational and non-relational databases e.g. (Postgress/Trino/redshift/Mongo). Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP. Proven experience designing and developing distributed systems at scale. Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases. A deeper understanding of software development best practices and demonstrate leadership skills. Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.) Preferred Skills: Experience with Big-Data/ML and S3 Hands-on experience with Streaming technologies like Kafka Experience with Elastic Search Experience with Terraform, Kubernetes, Docker Experience working in a high-paced and rapidly growing multinational organization Qualification : Degree or equivalent relevant experience required.