• Support the design, configuration and implementation of Oracle EPM Cloud Planning (PBCS / EPBCS) & Consolidation FCCS
• Develop and maintain integrations between Oracle EPM and ERP environments
• Manage financial data extraction, mapping, transformation and reconciliation.
• Configure planning models, dimensions, hierarchies and calculation rules.
• Support FP&A processes, including budgeting, forecasting and financial reporting.
• Investigate and resolve data integration and system-related issues.
• Participate in testing, deployment and post-go-live support.
• Work closely with Finance stakeholders and technical delivery teams.

• Hands-on experience implementing Oracle EPM Cloud Planning (PBCS / EPBCS) and Consolidation
• Experience integrating Oracle EPM other enterprise ERP systems.
• Strong understanding of financial planning, budgeting and forecasting processes.
• Knowledge of Oracle EPM Data Integration, Data Management or FDMEE.
• Experience with financial data structures, mapping, hierarchies and reconciliation.
• Previous involvement in end-to-end EPM implementation or transformation projects.
• Strong stakeholder management and problem-solving skills.

The Company Our client is a publicly traded telecommunications company that builds cloud communications for businesses: voice, chat, and contact center products used by companies around the world.

They are bringing out a new greenfield AI product and are now seeking a talented AI Product Engineer to join the team.
The roleYou will own the new AI product end to end: plan it, architect it, build it, deploy it, test it, and ship it. You work with real autonomy and make the technical calls yourself, rather than routing every decision through leadership.
You won't be working alone. You'll join daily standups with their AI team, collaborate with developers across a globally distributed engineering organization, and work closely with product and business stakeholders. You'll partner directly with our COO, who sponsors the product.
We're looking for a seasoned engineer who has fully embraced AI-assisted development and still holds a high bar: you ship fast with AI tools, review every pull request rigorously, and never compromise on security or architecture.
What you'll do• As AI Product Engineer you'll own the AI product roadmap from technical strategy through each release cycle• Design and evolve the architecture for long-running, autonomous AI agents with memory, tools, permissions, and human oversight• Build agents that operate real business software through browser automation (Playwright and Chromium)• Take the product from internal prototype to production with paying customers, including deployment, monitoring, and QA• Set the standard for secure, AI-assisted engineering: review PRs rigorously, enforce security practices, and keep code quality high• Make clear build, buy, and restructure decisions across the stack, including changing what isn't working• Work with customers and stakeholders to turn real workflows (invoicing, spreadsheets, ticketing) into reliable agent capabilities• Share progress in daily standups and keep leadership informed without needing to be managed

What you'll bring• Significant experience as a software engineer, with a track record of owning products end to end, from architecture through release• Production experience shipping LLM-powered agents to real users, not just demos or research prototypes• Strong system design skills and a security-first mindset, especially around permissions, credentials, and agents acting on users' behalf• Deep, daily use of AI-assisted development tools, paired with the judgment to review and correct what they produce• Comfort working autonomously: you plan your own work, make decisions, and unblock yourself• Product sense and a customer focus; you care whether the agent actually saves someone time• Clear communication with both engineers and non-technical stakeholders

This role is not a fit for engineers who avoid AI tools, or for those who rely on AI-generated code without the architectural depth to own it. It is also not a model-research role: we build on top of foundation models rather than training them.

Tech stack: TypeScript, Node.js, Web front end Next.js, React 19, Mobile React Native, Expo, Agents LLM agent engineering, Playwright, Chromium, Web Sockets, GCP, Kubernetes (AWS experience also welcome)
Nice to have• Experience at a browser automation, AI developer tooling, or agent framework company• Background building agents that operate inside third-party SaaS tools (Google Workspace, ticketing, accounting)• Experience with real-time voice, telephony, or communications products• Early-stage or founding-engineer experience taking a product from prototype to first customers
What’s in it for you?• Competitive compensation package • Own a new agentic AI product end to end with real autonomy and direct access to leadership• A working prototype already exists and is in use, so the hire builds on real momentum and ships to customers within months• A genuinely ambitious product: AI agents that act as colleagues, not chatbots• Greenfield, modern stack, with freedom to restructure it• A profitable public company
If this AI Product Engineer role sounds like you, then please apply today!