Deployment Strategist

Salesforce; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Centaur Labs in Paris is seeking a Forward Deployed Engineer – Deployment Strategist to leverage technical expertise and strategic problem-solving for deploying AI-powered solutions. This role combines hands-on solution architecture with strategic oversight of deployments, ensuring alignment with customer needs and product innovations.

Candidates should have over 5 years of solutioning experience with cloud technologies, a degree in Computer Science, and a solid understanding of the Salesforce ecosystem. The role mandates up to 50% travel to client sites.

Qualifications

• 5+ years of hands-on solutioning experience with cloud-based technologies.
• Ability to lead deployment initiatives and deliver scalable production solutions.
• Exceptional analytical and solution-oriented approach in ambiguous environments.

Responsabilités

• Lead the analysis and design of intelligent AI-powered agents within Salesforce.
• Oversee successful deployments and optimize performance for long-term reliability.
• Act as a trusted technical advisor to client teams and stakeholders.

Connaissances

Solutioning experience

Salesforce platform understanding

AI/LLM technologies

Data modeling and integration

Collaboration skills

Formation

Degree in Computer Science or related field

Outils

Salesforce Data Cloud

Snowflake

Databricks

Description du poste

About the Role

We are seeking a Forward Deployed Engineer – Deployment Strategist, a pivotal hybrid role that leverages 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, oversee deployments, foster collaboration, set goals, and address 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.

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 re‑engineering.

• 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.

• Degree in Computer Science or a related field.

• 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).

Equal Opportunity Statement

Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment.