Software Development Manager
We are seeking an experienced Manager, Forward Deployed Engineering to build and lead a team of FDEs who win technical confidence through compelling demos and proofs-of-concept, and who scale their impact by productizing field patterns into accelerators, tooling, and reference solutions. This is a hands-on technical leadership role — close enough to the work to unblock a customer POC or review an accelerator’s design, and strategic enough to shape how the FDE function operates and how field signal informs the AIDP roadmap.
Qualifications
Leads a specialized area which may have diverse functional elements. Frequently interacts with supervisors and/or functional peer group managers. May interact with senior management. Demonstrated leadership and people management skills. Strong communication skills, analytical skills, thorough understanding of product development. BS degree or equivalent experience relevant to functional area. Typically one year of software engineering or related experience.Responsibilities
Key responsibilities
Build, coach, and lead a high-performing team of Forward Deployed Engineers who partner directly with enterprise customers and Oracle field teams to prove the value of AIDP.
Own the demo and proof-of-concept motion: set the bar for credible, high-impact technical demonstrations (e.g., Deep Insights agents, DFL pipelines, notebooks, and agent flows) that convert strategic opportunities into technical wins and account expansion.
Drive the creation of reusable accelerators, tooling, plugins, and reference solutions that capture field learnings once and let every FDE and customer reuse them — reducing time-to-value on each new engagement.
Establish repeatable engineering practices for the FDE team: solution templates, demo/POC standards, code-quality bars, and a shared accelerator library, so quality scales with the team rather than living in individuals’ heads.
Partner with Sales, Solution Engineering, and customer stakeholders to scope engagements, size technical effort, and sequence work that balances a fast first impression with a durable path to production.
Serve as the escalation point and senior technical reviewer for the hardest customer problems: architecture, big-data performance (Spark and equivalent compute engines), data integration, and integration across Oracle’s cloud and application ecosystem.
Close the loop with Product, Engineering, and Science: synthesize recurring field patterns, gaps, and customer requirements into clear, prioritized input to the AIDP roadmap.
Drive pilots and joint initiatives with strategic customers and partners to accelerate adoption of Oracle’s AI Data Platform offerings.
Manage team health and growth: hiring, onboarding, career development, performance, and workload balance across concurrent customer engagements.
Required qualifications
6+ years of engineering experience, including recent experience leading engineers — as a manager, tech lead, or forward-deployed/solutions lead — in a customer- or field-facing capacity.
Hands-on technical depth in big-data and data-platform technologies: Spark (or equivalent large-scale compute), SQL, data pipelines/ETL, and cloud data storage and management.
Proven track record of taking ambiguous customer problems from concept to a working solution, demo, or POC — and ideally into production adoption and operational stability.
Strong customer-facing skills: able to earn technical credibility with enterprise stakeholders, present to both engineers and executives, and manage expectations under pressure.
Demonstrated ability to turn one-off solutions into reusable assets (accelerators, libraries, tooling, templates) that scale beyond a single engagement.
Exceptional communication and stakeholder-management skills, with the ability to influence across Product, Engineering, Sales, and customer organizations.
Comfort operating with ambiguity, shifting priorities, and multiple concurrent engagements.
Preferred qualifications
Experience with modern data-lakehouse and open table formats (e.g., Delta, Iceberg, Hudi), data cataloging, and governance.
Hands-on experience building demos or applications with LLMs / GenAI, agents, or RAG over enterprise data.
Familiarity with Oracle Cloud Infrastructure (OCI) and/or Oracle’s data and application ecosystem (Autonomous Database/ADW, Fusion, EPM, OAC).
Prior experience as a Forward Deployed Engineer, Solutions Architect, or in a professional-services engineering role at an enterprise software or data-platform company.
Willingness to travel to customer sites as needed.
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