• Define and continuously refine ideal customer profiles across industries, ecosystems, and business models. • Identify key pain points, buying triggers, and high-conversion use cases. • Develop account scoring models using firmographic, technographic, behavioral, and intent-based signals. • Test and iterate targeting hypotheses based on real-world feedback. • Build workflows to transform raw market data into prioritized target account lists. • Source and structure data from web signals, technology stacks, and enrichment tools. • Identify patterns across platforms, tools, and behaviors that indicate strong fit or intent. • Design prioritization frameworks to guide outbound focus and resource allocation. • Design and execute outbound strategies across email, LinkedIn, and other relevant channels. • Build personalization systems based on meaningful business signals, not generic templates. • Translate data insights into compelling messaging angles tied to real customer pain points. • Develop and iterate on sequencing, messaging logic, and testing frameworks. • Build and maintain automated workflows across data sources, CRMs, and outreach tools. • Integrate APIs, enrichment platforms, and internal systems into a unified GTM architecture. • Own the full lifecycle from prospect identification to qualified opportunity through automation. • Continuously improve efficiency, speed, and scalability of GTM processes. • Launch experiments quickly and refine based on performance data. • Balance speed with usability, ensuring outputs can be adopted by the broader team. • Operate independently with minimal direction in a fast-paced environment. • Document systems and workflows clearly for scalability and continuity.

• Develop and maintain backend services using NestJS (Node.js + TypeScript). • Build cross-platform mobile apps using Flutter and Dart. • Design and implement REST / GraphQL APIs and integrate third-party services. • Optimize performance, scalability, and security across the stack. • Participate in code reviews, testing, and CI/CD workflows. • Collaborate in agile teams and contribute to sprint planning and retrospectives.

• Investigating verified application issues within defined timelines depending on priority of the issue. • Identifying resolutions whilst ensuring the integrity of the software application in relation to the generic customer base. • Creating detailed technical support documentation where required. • Providing support and guidance to users and colleagues • Working closely with the Design, Test and Development teams to ensure we understand future functionality and deliver a consolidated solution. • Specifying, developing and implementing interfaces to support the core product. • Inputting into the production of detailed estimates of resource timings. • To be responsible for monitoring personal project performance against the plan and, where necessary, take appropriate corrective actions to ensure project goals are met.

Title: Software Engineering MTS, Salesforce Location: Dallas United States Full time Job Description: To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering 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. Salesforce Developer Office hybrid in Dallas, TX The Salesforce Digital Technology (DET) team is looking for a full-stack Member of Technical Staff (MTS) to join our agentic development team. You will be at the forefront of the AI revolution, building autonomous agents using Agentforce, CRM Platform and Data Cloud. This is a hands-on engineering role where you will write code daily, build "tools" for AI agents, and ensure our generative AI solutions are grounded, secure, and scalable. Responsibilities: - Develop and implement autonomous agents and sub-agents using Agentforce, focusing on complex reasoning paths and multi-step orchestration. - Build and optimize "Tools" for agents using Apex Actions, Flows, and External Services to allow AI to interact with Salesforce and 3rd-party systems - Develop, test, and version-control system prompts; utilize Prompt Builder to create dynamic, grounded templates - Build and optimize prompts and LLM interactions to improve Agent performance, accuracy, and scalability. - Collaborate with product, engineering, and cross-functional AI teams. - Implement monitoring and exception handling for agent workflows. - Work on document ingestion pipelines, Data Cloud integrations, and content processing to feed AI models and agents. - Conduct experiments, A/B testing, and prompt tuning to continuously improve agent behavior and outcomes. - Develop comprehensive unit and functional test cases; maintain high code coverage standards; perform integration and smoke testing before deployment - Contribute to architecture, design, and best practices for AI-enabled agent systems, ensuring scalability, maintainability, and performance. - Deep dive into existing agents to troubleshoot production issues; identify and implement performance optimizations - Drive innovation in agent experiences while evaluating new AI and generative technologies to enhance the overall platform. - Keep up with Salesforce releases, emerging technologies, and recommend agent improvements. - Use the Agent Debugger and monitoring tools to trace agent reasoning, identify "hallucinations," and optimize for accuracy and performance. - Design and implement Data Cloud DMOs (Data Model Objects) and Calculated Insights to provide high-fidelity grounding data for Agents. - Implement the Einstein Trust Layer to manage PII masking, toxicity filtering, and data governance. Required Experience: - 3+ years of professional Software Engineering experience in a SaaS environment - Expert-level Apex, LWC, and SOQL/SOSL. Deep understanding of Governor Limits and multi-tenant architecture. - Full-stack development skills (backend & frontend), including JAVA/APEX, LWC, HTML, CSS, JavaScript. - Advanced proficiency in Salesforce Flow (the primary engine for Agentforce actions) - Strong foundation in object-oriented programming principles, design patterns, software architecture, and test-driven development - Expert in Salesforce SOQL, SOSL, DML operations, governor limits, Sales Cloud, and Service Cloud - Experience with automated testing frameworks (JUnit, Selenium) and maintaining code coverage standards - Proven experience with REST/SOAP APIs, Event-Driven Architecture (Platform Events, CDC), and JSON handling - Proficiency with SFDX, Git-based version control, and automated testing frameworks (Jest, JUnit, Selenium) - Strong analytical skills with the ability to debug complex issues. - Familiarity with Agile/Scrum methodology and full SDLC ownership. - Solid understanding of MVC framework, OO design principles, and building maintainable, high-quality solutions. - Deep understanding of asynchronous Apex (Queueable, Batch, Future) and Platform Events, as Agent actions often run outside the standard request-response cycle. - A related technical degree required Desired Experience: - Hands-on experience with Agentforce, Prompt Builder, Prompt Engineering. - Experience with Salesforce Data Cloud, including data mapping, identity resolution, and vector database concepts. - Understanding of Retrieval-Augmented Generation (RAG) and how to ground LLMs with structured and unstructured data. - Knowledge of the evolving LLM landscape (OpenAI, Anthropic, Mistral, Gemini) and prompt optimization techniques - Experience supporting global rollouts of agent solutions and scaling across multiple regions. - Salesforce certifications or equivalent expertise in AI-enhanced CRM solutions - Experience with SaaS/PaaS architectures and large-scale enterprise agent implementations. - Experience with Salesforce DX, scratch orgs, and CLI tools - Experience with managed packages, unlocked packages, or AppExchange development - Salesforce administrator and Salesforce platform developer 1 certification is preferred 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 be your best, and our AI agents accelerate your impact so you can do your best. 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 need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options. 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. Know your rights: workplace discrimination is illegal. 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. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.