Deployment Strategist

Job description

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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.

About the Role: We are seeking an Forward Deployed Engineer - Deployment Strategist, a pivotal hybrid role, leveraging technical expertise and strategic problem-solving to deploy AI-powered solutions on Salesforce, focusing on business impact and adoption. This trusted advisor role bridges customer needs with product innovation for long-term success and value realization. The Deployment Strategist will lead a peer group of FDEs, overseeing deployments, fostering collaboration, setting goals, and addressing challenges. They will also connect customer needs with product development, offering field insights to influence enhancements and accelerate the product roadmap, ensuring the Agentforce platform remains at the forefront of AI solutions. A successful Forward Deployed Engineer - Deployment Strategist will deeply understand our customers' most complex problems, crafting and deploying innovative, impactful solutions that leverage our Agentforce platform and beyond.   Your Impact:

- Strategic Solution Architecture & Design: Lead the analysis, design, and hands-on solutioning of intelligent AI-powered agents within Salesforce environments, leveraging Agentforce, Data Cloud, Flow, Lightning Web Components (LWC), Apex, and Salesforce APIs. Synthesize complex business challenges into clear, actionable technical requirements and strategic deployment plans.

- AI & Data Mastery for Impact: Own the end-to-end data landscape, designing robust data models, building efficient processing pipelines, and establishing seamless integration strategies. Apply advanced AI orchestration frameworks, LLM integration, and prompt engineering techniques to build sophisticated, production-ready conversational AI solutions that optimize data for AI applications.

- Full-Lifecycle Deployment & Optimization: Oversee the successful deployment of solutions, ensuring flawless integration with existing customer infrastructure. Continuously monitor performance, identify bottlenecks, and implement optimizations for long-term reliability, scalability, and security, including building guardrails to govern agent behavior.

- Entrepreneurial Execution & Rapid Prototyping: Operate with a "get-things-done" mindset, focusing on rapid prototyping, iterative development, and quick delivery of impactful solutions. Thrive in dynamic, ambiguous environments, adapting swiftly to evolving customer priorities and technical challenges.

- Trusted Technical & Strategic Partner: Embed deeply with client teams (from analysts to C-suite executives) to truly grasp their operational challenges and strategic goals. Act as a primary technical advisor, providing expert guidance and presenting results and proposals that drive measurable value and adoption.

- Product Evolution & Feedback Loop: Serve as a vital feedback loop between customers and internal product/engineering teams. Field observations will directly influence future product enhancements, help shape the strategic direction of our platform, and contribute to broader scalable product improvements.

- Business Process Transformation: Analyze existing business processes and identify opportunities for automation and enhancement through intelligent agents, guiding customers through process transformation and reengineering.

- Team Leadership in Deployment Execution: Lead a group of peers in the execution of deployment initiatives, providing technical guidance, fostering collaboration, and ensuring successful project delivery against strategic objectives.

Required Qualifications:

- 5+ years of hands-on solutioning experience, including design, implementation, and testing of cloud-based technologies and architecture principles, with a proven track record of end-to-end delivery of high-quality, scalable production solutions

- Understanding of the Salesforce platform and ecosystem, including Flow, Lightning Web Components (LWC), and Salesforce APIs

- Hands-on experience building solutions with AI/LLM technologies

- Experience in data modeling, processing, integration, and analytics, with proficiency in data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks)

- Exceptional ability to confront open-ended problems in unstructured, ambiguous environments, demonstrating a curious, analytical, and solution-oriented approach

- Demonstrated entrepreneurial spirit, a "get-things-done" attitude, and a relentless focus on fast delivery and measurable customer impact

- Excellent collaboration and communication skills (written and verbal), with the ability to explain complex technical concepts to non-technical stakeholders and C-suite executives, and translate business needs into technical requirements

- Proven team leadership experience

- Prior customer-facing experience in a technical, implementation, or consulting role, acting as a trusted technical advisor

- Ability to travel 25-50% of the time, as needed to customer sites

Preferred Qualifications:

- Experience with Salesforce Data Cloud and/or Agentforce platform

- Experience developing conversational AI solutions within regulated industries or highly sensitive environments (e.g., healthcare, finance)

- Proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex)

- Salesforce platform certifications (e.g., Administrator, Platform Developer I/II, Architect, Data Cloud Consultant, Agentforce Specialist)

- Knowledgeable across Salesforce CRM (Service, Sales, and Marketing Clouds)

- Experience with AI/ML concepts beyond LLMs, such as natural language processing

- Bonus points for experience deploying solutions in customer environments (e.g., custom scripts, middlewares, internal APIs)

--------------------------------------------------------------------------------------------------------------------------------   À propos du poste : Nous recherchons un·e Forward Deployed Engineer - Deployment Strategist, un rôle hybride essentiel, qui s'appuie sur une expertise technique et une résolution stratégique des problèmes pour déployer des solutions basées sur l'IA sur Salesforce, en se concentrant sur l'impact métier et l'adoption. Ce rôle de conseiller·ère de confiance fait le lien entre les besoins des clients et l'innovation produit, dans une optique de succès et de création de valeur à long terme. Le/La Deployment Strategist dirigera un groupe de pairs FDE, supervisant les déploiements, favorisant la collaboration, définissant les objectifs et surmontant les défis. Il/Elle connectera également les besoins des clients avec le développement produit, en apportant des insights terrain pour influencer les améliorations et accélérer la feuille de route produit, garantissant ainsi que la plateforme Agentforce reste à la pointe des solutions IA. Un·e Forward Deployed Engineer - Deployment Strategist accompli·e comprendra en profondeur les problèmes les plus complexes de nos clients, en concevant et déployant des solutions innovantes et impactantes qui s'appuient sur notre plateforme Agentforce et au-delà.

Votre impact :

- Architecture et conception de solutions stratégiques : Piloter l'analyse, la conception et la mise en œuvre concrète d'agents IA intelligents dans des environnements Salesforce, en s'appuyant sur Agentforce, Data Cloud, Flow, Lightning Web Components (LWC), Apex et les APIs Salesforce. Synthétiser des enjeux métier complexes en exigences techniques claires et exploitables, ainsi qu'en plans de déploiement stratégiques.

- Maîtrise de l'IA et des données pour un impact concret : Prendre en charge l'ensemble du paysage des données, en concevant des modèles de données robustes, en construisant des pipelines de traitement efficaces et en établissant des stratégies d'intégration fluides. Appliquer des frameworks avancés d'orchestration IA, l'intégration de LLM et des techniques de prompt engineering pour construire des solutions d'IA conversationnelle sophistiquées et prêtes pour la production, qui optimisent les données pour les applications IA.

- Déploiement et optimisation sur l'ensemble du cycle de vie : Superviser le déploiement réussi des solutions, en assurant une intégration parfaite avec l'infrastructure existante des clients. Surveiller en continu les performances, identifier les goulets d'étranglement et mettre en œuvre des optimisations pour une fiabilité, une scalabilité et une sécurité à long terme, y compris la mise en place de garde-fous pour gouverner le comportement des agents.

- Exécution entrepreneuriale et prototypage rapide : Opérer avec un état d'esprit "on fait avancer les choses", en se concentrant sur le prototypage rapide, le développement itératif et la livraison rapide de solutions à fort impact. S'épanouir dans des environnements dynamiques et ambigus, en s'adaptant rapidement aux priorités changeantes des clients et aux défis techniques.

- Partenaire technique et stratégique de confiance : S'intégrer profondément aux équipes clients (des analystes aux dirigeants de niveau C) pour véritablement saisir leurs défis opérationnels et leurs objectifs stratégiques. Agir en tant que principal·e conseiller·ère technique, en fournissant des orientations expertes et en présenta