Scalence L.L.C. · 13 hours ago
Process Engineer 4
CHARLOTTE, NC
Full-time
Onsite
Senior Level
6+ years expScalence L.L.C. is involved in consulting on complex initiatives within Process Engineering. The role focuses on analyzing and resolving multifaceted Process Engineering challenges while collaborating with various teams to drive impactful results.
Information Technology & Services
No H1B
Responsibilities
Execute all phases of the Observe-to-Agent (O2A) lifecycle, including observing, analyzing, optimizing, and running processes
Configure the Observe Assistant, apply activity tagging, and model persona-level behaviors
Partner with engineering teams to translate observed workflows into actionable agentic features and automation-ready requirements
Deploy SKAN.ai agents, configure masking protocols, validate data capture, and ensure strict adherence to governance and privacy standards
Produce structured process documentation (SOPs) for downstream automation, engineering, and operational teams
Maintain continuous observation cycles, including audit readiness, telemetry accuracy, and logging standards
Collaborate with teams to enable advanced data masking, clickstream capture, LLM-driven insights, and multi-application process analysis
Drive delivery execution by tracking milestones, validating data quality, resolving blockers, and ensuring timely, accurate outputs
Communicate findings clearly and effectively to support decision-making and transformation efforts
Qualification
Required
Applicants must be able to work directly on W2
6 years of experience in process engineering, workforce analytics, task mining, automation, or related fields supported by work experience, training, military service, or education
Strong delivery and project management experience with a track record of managing multi-persona, multi-application observation programs
Deep experience in process engineering, operational transformation, or workflow redesign
Proven ability to translate observed tasks into structured SOPs or automation-ready requirements
Preferred
Experience collaborating with AI/ML teams or working in AI-enabled environments
Background in digital twins, productivity analytics, process mining, or task intelligence platforms
Familiarity with tools such as SKAN.ai, clickstream analytics, or observation-based discovery systems
Ability to work across technical and business teams to drive insight-rich, outcome-focused analysis
Benefits
Inclusive and supportive work environment that values diversity and promotes equity.
Opportunities for professional growth and development.
Engagement in meaningful work that drives transformative change.
Company
Scalence L.L.C.
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase