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.
• 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: Understanding of how pre-sales fits into a complex enterprise deal cycle. 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.

Qualifications

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

Skills

• Technical Mastery: Strong technical background and deep expertise in process intelligence, data engineering, and AI-driven solutions.
• Business Acumen: Strategic business acumen and the ability to connect technical concepts to commercial success.
• Communication: Ability to communicate technical concepts to diverse stakeholders, including C-suite executives and IT teams.
• Problem-Solving: Agile and "roll-up-your-sleeves" approach to problem-solving, favoring progress over perfection.
• Intellectual Openness: Comfortable navigating ambiguity and open to learning new things.

Benefits

• Time Off Programs
• Medical, Dental, Vision, Mental Health Support
• Paid Parental Leave
• Life and Disability Insurance
• 401(k)
• Employee Stock Purchasing Program

Pay

$88,970 - $244,510 annually

Schedule

Ongoing