Description
At Salesforce, we are seeking outstanding individuals to join our team as an Apromore Solution Engineer with a strong technical background and deep expertise in process intelligence, data engineering, and AI-driven solutions. In this role, you will go beyond traditional pre-sales; you will be pivotal in bridging the gap between process perception and reality, designing bespoke B2B solutions, and acting as a trusted technical advisor to safely guide enterprise clients through their automation and Agentic AI adoption journey. About Apromore Apromore is a global leader in AI-driven process intelligence technology. Now part of Salesforce, Apromore provides organizations with an "Intelligent Process Twin" to gain complete operational transparency. As enterprises rush to scale AI, Apromore bridges the gap between process perception and reality, acting as the critical backbone that enables organizations to systematically discover, de-risk, deploy, and govern Agentic AI automation across the enterprise.
About the Role
As a key technical anchor within our Apromore Specialist team, you will partner directly with Account Executives to advance and close enterprise opportunities by establishing deep technical credibility. This is a hands-on, high-impact role requiring pre-sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore's process intelligence capabilities to precisely identify high-propensity, high-ROI use cases for AI agents (such as Agentforce). You will guide C-level executives and technical stakeholders away from broad anecdotes and align them onto data-driven, value-backed technical solutions.
What you’ll be doing:
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.
What you should have:
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. You are energized by solving technical puzzles that directly unlock commercial success.
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.
Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science/AI, or equivalent.
Characteristics:
An outstanding blend of technical depth, strategic business acumen, and low-ego collaboration.
An agile, "roll-up-your-sleeves" layout to problem-solving that favors progress over perfection.
Intellectual openness and the ability to comfortably navigate ambiguity.