# Head of Corporate Products Engineering Services at Jobgether

> Remote · United States · Director+ · Other · open. Source: https://alderhq.app/jobs/lever%3Ajobgether%3Ac8cbc2c2-e84d-40c4-ba70-651ba6b976f2 (read 2026-11-12).

## Facts (observed)

- Company: [Jobgether](https://alderhq.app/companies/jobgether)
- Location text: US
- Where it can be done from (inferred): Remote · United States (evidence: "Location: US")
- Posted: 2026-11-12 (0 days ago)
- First seen by alder: 2026-11-12 · last verified: 2026-11-12
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/jobgether/c8cbc2c2-e84d-40c4-ba70-651ba6b976f2
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 5897): p25 $165k, median $210k, p75 $255k

## Description (the employer's text)

### Accountabilities

You will lead engineering strategy and execution across the Corporate Products portfolio, ensuring that architecture, delivery practices, technology investments, and operational standards support the organization's evolving needs. You will manage engineering teams and external partners while maintaining a strong focus on security, reliability, and business alignment.

Define and execute the engineering strategy and roadmap for the Corporate Products portfolio, aligning technology priorities with business objectives.

Lead engineering teams and Solution Architects, overseeing talent development, workforce planning, and organizational capability building.

Own end-to-end solution architecture, design decisions, implementation planning, and production readiness.

Lead Oracle Fusion as a foundational enterprise platform, alongside broader enterprise SaaS, cloud, and custom-application engineering initiatives.

Direct integration architecture and engineering, including APIs, event-driven architectures, identity management, and enterprise data-flow patterns.

Establish and maintain engineering standards covering the software development lifecycle (SDLC), DevSecOps, CI/CD, automated testing, observability, and reliability.

Oversee application environments and ensure solutions meet operational, security, and production-readiness requirements before release.

Manage technical risks, technical debt, application lifecycle decisions, and ongoing platform improvements.

Drive the adoption of AI-assisted engineering, generative AI, and agentic AI solutions across the engineering organization.

Establish governance frameworks for AI security, privacy, monitoring, evaluation, and responsible use.

Manage relationships and performance across technology vendors, systems integrators, and strategic partners.

Develop engineering roadmaps, investment recommendations, and budget plans, ensuring effective stewardship of technology resources.

Advise senior business stakeholders on technical risks, architectural decisions, investment priorities, and implementation trade-offs.

Communicate complex technical topics clearly to leaders across HR, Finance, Legal, and Communications / Corporate Affairs.

### Requirements

The ideal candidate brings extensive experience in enterprise technology and software engineering leadership, with a strong background in architecture, enterprise platforms, and complex solution delivery. You should combine strategic business judgment with sufficient technical depth to guide engineering teams, evaluate technology investments, and deliver secure, reliable solutions at scale.

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Business, or a related discipline, or equivalent professional experience.

At least 12 years of progressive experience in technology and software engineering.

Demonstrated leadership of enterprise engineering, platform, or Solution Architecture teams, including experience managing global teams.

Proven ability to deliver complex enterprise technology solutions, with accountability spanning initial design through production operations.

Strong experience with Oracle Fusion, ideally across HCM, ERP / Financials, or both, alongside broader enterprise platform expertise.

Experience advising senior business leaders and translating technical risks, trade-offs, and investment requirements into clear business recommendations.

Strong knowledge of enterprise SaaS platforms, cloud technologies, enterprise application engineering, and systems integration.

Experience with APIs, event-driven architectures, identity and access management, and enterprise integration patterns.

Practical knowledge of secure software development, DevSecOps, CI/CD, automated testing, environment management, observability, and reliability engineering.

Experience implementing or overseeing generative AI, agentic AI, and AI-assisted engineering solutions.

Understanding of AI security, privacy, governance, evaluation, and monitoring practices.

Experience supporting corporate functions such as HR, Finance, Legal, and Communications.

### How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Ajobgether%3Ac8cbc2c2-e84d-40c4-ba70-651ba6b976f2 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
