9 Salesforce Einstein Jobs

As a Salesforce CPQ Technical Lead/Developer at Progress, you will have the opportunity to play a significant role in shaping and enhancing the Salesforce CPQ environment. Your responsibilities will include leading the development and architecture of Salesforce CPQ solutions, collaborating with various teams to gather requirements and design solutions aligned with business strategy, mentoring junior developers, and ensuring high-quality coding practices. You will be expected to drive the adoption of DevOps practices, manage complex integrations between Salesforce CPQ and other systems, troubleshoot and resolve issues in Salesforce CPQ configurations, and ensure compliance with security, data governance, and industry best practices. Additionally, you will stay updated with Salesforce CPQ enhancements, industry trends, and AI-driven Salesforce capabilities, recommending impactful features and improvements. To be successful in this role, you should have a Bachelor's degree in Computer Science or a related field, along with at least 7 years of Salesforce development experience with a focus on Salesforce CPQ solutions. You should have expertise in Salesforce technologies such as Apex, Visualforce, Lightning Components, Salesforce APIs, and declarative tools. Proficiency in Salesforce DX, version control systems, and CI/CD pipelines is required, along with certifications like Salesforce CPQ Specialist, Advanced Administrator, or Platform Developer II. In return for your expertise and contributions, Progress offers a competitive remuneration package, Employee Stock Purchase Plan Enrollment, 30 days of earned leave, additional leaves for special occasions, premium group medical insurance, professional development reimbursement, interest subsidy on loans, health club reimbursement, and more. If you are passionate about propelling business forward and making a lasting impact on Salesforce CPQ solutions, we encourage you to apply now and be a part of our dynamic and inclusive team at Progress.,

Job Category Customer Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are looking for an experienced and hands-on Salesforce AI Architect to lead the design and delivery of intelligent agent solutions using Agentforce, Einstein AI, and the Salesforce platform. You will architect and implement GenAI-powered workflows, provide strategic advisory to enterprise customers, and help scale innovation across our most complex client engagements. This role blends technical depth, executive engagement, and visionary thinking to deliver tangible AI outcomes across the Salesforce ecosystem. Your Impact AI Solution Architecture & Delivery - Design and implement AI-powered intelligent agents using Agentforce & Salesforce AI. - Lead full-stack implementation across Apex, LWC, Salesforce Flows, and AI orchestration frameworks. - Rapidly build PoCs and MVPs to validate concepts and accelerate customer buy-in. Integration & Data Strategy - Integrate Salesforce CRM with external systems and AI endpoints. - Design secure, scalable data architectures to support GenAI workflows. - Experience with Salesforce Data Cloud, Snowflake, or Databricks is a strong plus (but not mandatory). Pre-Sales & Strategic Advisory - Partner with AEs and SEs to shape solution strategy during pre-sales and discovery. - Translate business goals into technical blueprints and high-impact roadmaps. - Lead client workshops, architecture reviews, and stakeholder enablement. Customer Success & Innovation - Act as a trusted technical advisor throughout delivery and beyond. - Identify technical risks, resolve implementation blockers, and guide customer enablement. - Represent Voice of Customer to Product teams to influence roadmap and features. Required Qualifications - Salesforce Certified Application Architect or System Architect (MANDATORY). - 8+ years in customer-facing technical roles across AI, CRM, or Data Architecture. - Hands-on experience with Salesforce CRM (Sales, Service or Industry Clouds). - Experience with Salesforce Einstein - Strong proficiency in Apex, JavaScript, LWC, Salesforce Flows, and system integration. - Experience implementing LLM-based solutions with orchestration and prompt design. - Proven ability to engage C-level stakeholders and lead strategic technical discussions. - Strong communication and visualization skills (whiteboarding, solution storytelling, executive briefings). Preferred Qualifications - Salesforce certifications: AI Associate/Specialist, Data Cloud Consultant. - Familiarity with Salesforce Data Cloud and enterprise data platforms (Snowflake, BigQuery, Databricks). - Experience working with AI model observability, RAG architectures, and prompt governance. - Knowledge of data privacy, security, and compliance frameworks. Ideal Attributes - Strategic + Tactical: You see the big picture and build with precision. - Hands-On AI Expert: You understand LLMs, prompt design, and real-world agent orchestration. - Trusted Partner: You build long-term credibility with business and technical stakeholders. - Innovator & Evangelist: You push platform limits, share best practices, and mentor teams. Why Join Us - Work with cutting-edge Salesforce AI technologies and enterprise clients. - Access world-class enablement: Trailhead, Fast Ramp, Einstein Bootcamps, Sandler Sales. - Build your brand as a thought leader in the GenAI and Agentforce space. - Flexible hybrid work with meaningful career growth and impact. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and , and our AI agents accelerate your impact so you can . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Job Category Customer Success Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We are seeking a Senior Salesforce Developer with strong expertise in building scalable Salesforce solutions and hands-on experience with AI capabilities including Salesforce Einstein and Agentforce . The ideal candidate will combine deep Salesforce development skills with an innovative approach to AI-driven automation , enabling intelligent workflows and enhanced user experiences. Key Responsibilities Salesforce Development: Design, develop, and implement custom Salesforce solutions using Apex, Lightning Web Components (LWC) and integrations. Build and optimize Data Cloud, Service Cloud, and Sales Cloud features to support AI-driven processes. Create scalable, maintainable, and secure solutions in line with Salesforce best practices. AI Enablement & Implementation: Configure and customize Salesforce Einstein features, including predictive analytics, bots, and recommendations. Design and deploy Agentforce agents for autonomous workflows, intent design, and natural language interactions. Integrate Retrieval-Augmented Generation (RAG) and prompt engineering for enhanced AI responses. Partner with data teams to ensure high-quality datasets for AI models. Solution Architecture & Collaboration: Translate business requirements into technical designs with AI-first thinking. Collaborate with architects, admins, and business analysts to deliver end-to-end AI-enabled solutions. Conduct code reviews, provide technical mentorship, and ensure adherence to coding standards. Testing & Deployment: Perform unit testing, integration testing, and support user acceptance testing (UAT). Deploy solutions via Salesforce DevOps tools (Copado, Gearset, etc.). Required Skills & Experience 6+ years of Salesforce development experience, with Salesforce Platform Developer I & II certifications preferred. Proven experience with Apex, LWC, Visualforce, SOQL/SOSL , and API integrations. Hands-on implementation experience with Salesforce Einstein AI (Einstein Bots, Next Best Action, Prediction Builder, Einstein for Sales / Service). Working knowledge of Agentforce setup, intent design, and autonomous workflows. Familiarity with Data Cloud and AI-related data preparation. Strong understanding of Salesforce security, governor limits, and performance optimization . Experience with DevOps and CI/CD pipelines in Salesforce. Excellent problem-solving skills and the ability to work in agile teams. Preferred Qualifications Experience with prompt engineering and LLM integrations in Salesforce. Prior experience in Financial Services, Retail, or Healthcare AI implementations. Salesforce certified Agentforce Specialist Salesforce certified Data cloud Consultant Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and , and our AI agents accelerate your impact so you can . Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this . Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

NTT DATA is looking for a Salesforce Developer- Agentforce,Experience cloud to join their team in Pune, Maharashtra (IN-MH), India. As a Senior Salesforce Developer, your responsibilities will include leading the design, development, and implementation of AI-driven solutions using Salesforce Einstein features for Sales & Experience cloud. You will collaborate with architects and AI engineers to design solutions for predictive analytics, customer insights, and automation. Integrating third-party applications and data sources with Salesforce via APIs will be a key aspect of your role. You will work closely with product managers, data scientists, and developers to ensure successful implementation of AI/ML solutions aligned with business goals. This includes implementing automated workflows and intelligent data-driven decision systems within Sales Cloud and Experience Cloud. You will be responsible for designing and developing scalable solutions in Salesforce Agentforce and Experience Cloud environments, building and customizing Lightning components, Apex classes, Visualforce pages, Flows, and APIs to support agent and customer portals. Furthermore, you will design and implement seamless integrations with core systems such as policy administration, claims, billing, and document management via REST/SOAP APIs, middleware (e.g., MuleSoft, Boomi), or event-driven architectures. Developing custom components, templates, and branded sites within Experience Cloud to support self-service and agent experiences will also be part of your responsibilities. Gathering requirements from stakeholders and translating them into technical solutions, maintaining and optimizing data models, sharing rules, and user roles for different Experience Cloud personas, and ensuring best practices in coding, testing, and DevOps deployment strategies are also key aspects of the role. Troubleshooting production issues, providing ongoing support for Salesforce-based applications, participating in Agile ceremonies, and maintaining technical documentation are part of the responsibilities as well. To be successful in this role, you should have 7+ years of overall experience in Salesforce development with at least 2+ years of hands-on experience in Salesforce AI Solutions development. Expertise in Salesforce Einstein AI features, customizing applications using Apex, LWC, Lightning Flows, data modeling, data integration using REST APIs, handling large datasets within Salesforce, machine learning algorithms, Salesforce architecture, NLP, image recognition, sentiment analysis, AI governance, model explainability, data ethics, and leveraging structured and unstructured data for ML and NLP solutions are required qualifications. Preferred skills include Salesforce certifications in Einstein Analytics and Discovery Consultant, Salesforce Platform Developer II, or Salesforce Certified AI Associate, experience in Salesforce Data cloud, Salesforce Agentforce, Apex, Lightning Web Components (LWC), SOQL, Flow Builder, integrating Salesforce with external systems, designing and managing Experience Cloud sites, and Salesforce certifications like Platform Developer I/II, Experience Cloud Consultant, Integration Architecture Designer. Join NTT DATA, a trusted global innovator of business and technology services, and be part of a diverse team committed to helping clients innovate, optimize, and transform for long-term success. Visit us at us.nttdata.com.,

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Key Responsibilities : - Develop and maintain Einstein Analytics solutions, including data preparation, data modeling, and dashboard creation. - Develop and maintain predictive models using Einstein Prediction Builder, including data preparation, model training, and model deployment. - Develop and maintain Einstein Discovery solutions, including data preparation, insight generation, and recommendation engines. - Design and deploy AI-powered solutions using Salesforce Einstein, including chatbots, virtual assistants, and predictive maintenance. - Integrate Salesforce Einstein with other Salesforce products, including Sales Cloud, Marketing Cloud, and Service Cloud. - Prepare and manage data for use in Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery, including data cleansing, data transformation, and data loading. - Train and deploy machine learning models using Einstein Prediction Builder, including model selection, hyperparameter tuning, and model evaluation. - Deploy Einstein solutions to production environments, including configuration, testing, and validation. Requirements : - At least 6 years of experience with Salesforce, including Sales Cloud, Marketing Cloud, and Service Cloud. - At least 2 years of experience with Salesforce Einstein, including Einstein Analytics, Einstein Prediction Builder, and Einstein Discovery. - At least 1 years of experience with Gen AI and machine learning, including machine learning frameworks, deep learning, and natural language processing. - Strong proficiency in programming languages, such as Python, Java, and Apex. - Strong skills in data analysis and visualization, including data preparation, data modeling, and data visualization. - Excellent communication and collaboration skills, including the ability to work with cross-functional teams and stakeholders.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

Job Overview : We are seeking a highly skilled Salesforce Einstein Gen AI Developer with a strong background in Salesforce application development and hands-on experience with Einstein Generative AI capabilities. This role involves designing, building, and enhancing intelligent AI-driven solutions using Einstein 1 Studio, Copilot, and the Einstein Trust Layer to optimize customer experience, automate business processes, and deliver scalable enterprise solutions across Sales, Service, and Marketing Clouds. Key Responsibilities : - Design and implement AI-powered features and experiences using Salesforce Einstein Generative AI tools. - Develop and deploy custom prompts, conversational flows, and embedded intelligence within Salesforce applications using Einstein Copilot and Prompt Builder. - Integrate Einstein AI features into Sales Cloud, Service Cloud, and Marketing Cloud to deliver predictive, generative, and personalized solutions. - Utilize Apex, Lightning Web Components (LWC), and Flow Builder to extend Salesforce functionality and implement workflow automation. - Ensure secure and scalable AI implementations using the Einstein Trust Layer, respecting data privacy and governance guidelines. - Collaborate with Solution Architects, Admins, and Business Stakeholders to gather requirements, design prototypes, and deliver production-ready AI solutions. - Create and maintain robust API integrations with internal and external systems using REST/SOAP APIs, and manage metadata and data models effectively. - Continuously monitor AI features for performance, accuracy, compliance, and improvement opportunities. - Contribute to the organization's AI roadmap, provide best practices for prompt engineering, and support AI model fine-tuning or selection when applicable. Required Skills and Qualifications : - 7+ years of hands-on experience in Salesforce development including Apex, LWC, Flow, and API integrations. - Minimum 1- 2 years of experience implementing solutions with Salesforce Einstein Generative AI. - Strong understanding of Salesforce data model, object architecture, and metadata management. - Experience with Einstein 1 Studio, Prompt Builder, Copilot configuration, and Trust Layer security protocols. - Expertise in integrating Salesforce with external data sources using APIs and middleware tools. - Knowledge of prompt engineering, conversational design, or LLM customization is a significant plus. - Familiarity with AI/ML lifecycle, particularly within the Salesforce ecosystem, including supervised learning, NLP, or predictive analytics. - Understanding of AI governance, responsible AI principles, and data privacy best practices. Preferred Certifications : - Salesforce Platform Developer I & II - Salesforce Certified AI Associate or Einstein AI Certification (Preferred) - Salesforce Application Architect or System Architect (Bonus) Nice to Have : - Experience working in Agile/Scrum environments. - Exposure to Slack GPT, Data Cloud, or other Salesforce ecosystem AI offerings. - Hands-on experience with tools like MuleSoft, Heroku, or Einstein Bots. - Knowledge of data security and compliance frameworks (e.g., GDPR, HIPAA) in the context of AI deployments.

We're hiring a Senior Salesforce Developer (7–10 yrs) to design and implement scalable solutions in Sales & Service Cloud. Requires strong Apex, LWC, flows, API integration, and DevOps tooling. Required Candidate profile Experienced Salesforce developer with 7–10 years in Sales & Service Cloud, proficient in Apex, LWC, Flows, API integrations,DevOps tools,&Salesforce AI components. Strong data migration&Agile skills.