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SiTime

Fabless MEMS timing solutions provider

Finance Transformation Architect

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeUkraineIn-person

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, information systems, accounting, finance, or a related field, or equivalent practical experience.
  • At least 4 years of experience in software engineering, automation architecture, data and analytics engineering, or AI solution delivery, including building production-grade AI, copilots, or agentic workflows.
  • Strong understanding of enterprise integration patterns, including APIs, events, ETL/ELT, authentication and authorization, and secure system design.
  • Practical experience implementing workflow automation with operational support models, including monitoring, runbooks, and incident triage.
  • Ability to produce technical and functional documentation, including architecture diagrams, requirements, standard operating procedures, and controls narratives.
  • Experience with finance systems and processes, including close, reconciliations, reporting, procure-to-pay, record-to-report, and audit support.
  • Oracle Cloud ERP experience, especially in finance modules such as AP, GL, FA, Cash Management, or Projects, and familiarity with Oracle reporting and integration tooling.
  • UiPath experience, including Studio, Orchestrator, Document Understanding, ERP integration patterns, and production bot operations.
  • Experience with close, reconciliation, reporting, or data platforms such as BlackLine, Hyperion/EPM, or Snowflake.
  • Hands-on experience with prompt engineering, retrieval-augmented generation, tool or function calling, evaluation frameworks, and model quality or risk practices.
  • Experience in SOX, audit, segregation of duties, evidence retention, or other controlled environments.

Responsibilities

  • Design end-to-end agentic workflows coordinating tasks across Oracle Cloud ERP, close and reconciliation tools, reporting platforms, shared drives, and collaboration tools.
  • Develop and iterate AI agents that interpret documents and transactions, reason over business rules, propose actions, and execute approved activities in a controlled manner.
  • Use Oracle Cloud ERP capabilities and integration patterns, including APIs, web services, and reporting extracts, to ground automation in authoritative finance data.
  • Partner with RPA resources and adjacent technical teams to integrate AI agents with existing automation solutions and ensure reliable execution and operational support.
  • Embed governance, controls, and SOX-ready safeguards into workflows, including access controls, segregation of duties, approvals, audit trails, retention, and evidence capture.
  • Work with Finance Data and IT teams to define how agents retrieve trusted business context, including policies, procedures, mappings, contracts, and historical support, while honoring confidentiality and least-privilege access.
  • Define agent evaluation criteria, including accuracy, timeliness, exception rates, and outcome quality, and implement monitoring, alerting, and continuous improvement processes.
  • Translate finance requirements into technical specifications and delivery backlogs, and lead pilots from concept through production deployment.
  • Create user playbooks, standard operating procedure updates, and training materials to support change management and adoption across global Finance and Accounting teams.
  • Partner with IT and Information Security teams to ensure responsible AI practices, privacy, security, model governance, and compliance with company policies.
  • Own finance automation use cases including procurement request support, accounts payable exception triage, close assistance, journal entry support, intercompany matching, management reporting support, and audit evidence collection.

Desired Qualifications

  • Demonstrate the ability to translate ambiguous finance process pain points into clear requirements, solution designs, data needs, and governance safeguards.
  • Apply a controls-first mindset emphasizing auditability, approvals, explainability, and evidence capture without unnecessary complexity.
  • Prioritize existing platform capabilities and extend them with custom components only where needed.
  • Design for operational reliability, including monitoring, fallback paths, support processes, and issue resolution.
  • Work collaboratively across Finance, Accounting, IT, Data, Internal Controls, and Security teams in a global environment.
  • Communicate technical concepts clearly to business stakeholders and senior leadership.

About the Company

SiTime

Fabless MEMS timing solutions provider

SiTime designs MEMS-based timing solutions (oscillators, network synchronizers, and jitter cleaners) as a fabless semiconductor company. MEMS resonators on silicon replace quartz to generate precise clocks and synchronize networks, with manufacturing handled by third-party foundries. The approach offers smaller size, lower power consumption, and better temperature stability, supported by scalable, design-focused development rather than in-house fabrication. Its goal is to expand MEMS timing adoption across automotive, industrial, IoT, mobile, aerospace, and telecom markets worldwide.

Company size
501-1,000
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
2005

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