Solution Engineer, Apromore

About the role

Solution Engineer, Apromore Builder

Responsibilities

• Partner with Account Executives to conduct comprehensive technical discovery sessions.
• Analyze sophisticated business problems, uncover real technical blockers, and map architecture constraints to design optimized "To-Be" processes.
• 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.
• 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. Translate working prototypes into solid business cases. Help executive decision-makers understand how process optimization maps to financial business impact.
• De-risk agentic AI deployments. Demonstrate how clean process context, clear handoffs, and well-understood workflows are required to deploy agents safely, productively, and within trust guardrails.
• 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.
• Contribute to the broader solutions community by building reusable assets, reference architectures, demo innovations, and mentoring junior Solution Engineers.

Requirements

• 5+ Years of Experience in customer-facing technical selling roles (Solution Engineer, Technical/Solution Architect, Forward Deployed Engineer) or technical project delivery roles.
• Background working with process analytics, process mining, task mining, process simulation, and data-driven business process management concepts.
• Experience working with SQL, Python, and building data pipelines and API integrations.
• Familiarity with LLMs, prompt engineering, and agentic orchestration frameworks.
• An understanding of how pre-sales fits into a complex enterprise deal cycle.

Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science/AI, or equivalent.

Skills

• Technical depth and strategic business acumen.
• Exceptional relationship building skills.
• Ability to connect and communicate technical concepts fluidly to diverse stakeholders.

Benefits

See here for details.

Pay

$88,970 - $244,510 annually

Schedule

Ongoing applications accepted.