Solution Engineer

🕒 il y a 4 jours

🏄 California, New York, +2 états de plus – Distant

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $88 970 - $244 510 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Salesforce

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1999

☁️ SaaS

🤝 B2B

🤖 Intelligence artificielle

SaaS • B2B • Artificial Intelligence

Salesforce est la plateforme de gestion de la relation client (CRM) la plus fiable au monde, conçue pour réunir les équipes marketing, commerciales, de commerce, de service et IT afin d'améliorer les relations avec les clients. Elle propose des solutions telles que Sales Cloud pour conclure des affaires, Service Cloud pour le support clients, et Marketing Cloud pour bâtir des relations clients durables. Salesforce encourage la croissance des entreprises de toutes tailles avec sa plateforme complète, dotée d'agents d'IA autonomes et de données unifiées. L'entreprise soutient l'apprentissage grâce à son programme Trailhead, qui offre des parcours guidés pour développer des compétences sur Salesforce, numériques et relationnelles. Plus de 150 000 entreprises font confiance à Salesforce, qui se distingue non seulement par sa technologie, mais aussi par son engagement à créer de meilleures pratiques d'affaires et des communautés.

Description

• Run Great Technical Discovery: Partner with AEs to conduct comprehensive technical discovery sessions. • Analyze sophisticated business problems, uncover real technical blockers, mapping architecture constraints to design optimized "To-Be" processes. • Prototyping & Hands-on Implementation: Act as a "builder" by constructing Proof of Concepts (PoCs) and minimum viable prototypes. • Ingest historical event logs into Apromore to capture factual baselines and empirically validate the technical feasibility of proposed agentic automations, replatforming initiatives, and cost-saving opportunities. • Data Configuration & Architecture: Guide customers on end-to-end data connectivity. • Assist client teams in designing robust process data models, building efficient ETL/processing pipelines, and seamlessly integrating enterprise data ecosystems (such as Salesforce Data Cloud, Snowflake, or legacy ERPs). • Deliver Value-Based Technical Messaging: Fluent in both "API" and "ROI," you will translate working prototypes into solid business cases. • Help executive decision-makers across Automation/AI, Digital Transformation, Operational Excellence, and Risk & Compliance understand how process optimization maps to financial business impact. • De-Risk Agentic AI Deployments: Help customers envision and safely activate autonomous AI agents. • Employing your technical depth, demonstrate how clean process context, clear handoffs, and well-understood workflows are required to deploy agents safely, productively, and within trust guardrails. • Deliver Training & Consultancy Projects: Lead and execute professional service engagements in process intelligence, technical onboarding, and specialized training programs for enterprise clients. • Serve as the primary consultant to ensure successful customer adoption, guiding their teams on advanced process intelligence methodologies and execution best practices. • Scale Engineering Impact: Contribute to the broader solutions community by building reusable assets, reference architectures, demo innovations, and mentoring junior Solution Engineers.

🎯 Exigences

• 5+ Years of Experience in customer-facing technical selling roles (Solution Engineer, Technical/Solution Architect, Forward Deployed Engineer) or technical project delivery roles. • Process Intelligence Expertise : Background working with process analytics, process mining, task mining, process simulation and data-driven business process management concepts. • Strong Data Engineering Skills & Builder Credibility: Experience working with SQL, Python and building data pipelines and API integrations. • AI Fluency: Familiarity with LLMs, prompt engineering, and agentic orchestration frameworks. • Sales Instinct & Commercial Curiosity: An understanding of how pre-sales fits into a complex enterprise deal cycle. • Exceptional Relationship Building: Proven ability to connect and communicate technical concepts fluidly to diverse stakeholders, ranging from C-suite executives to IT infrastructure and database teams.

🏖️ Avantages

• time off programs • medical • dental • vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program