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HomeCompaniesNovaintelligenceSenior SAP Engineer

Senior SAP Engineer

Novaintelligence · Remote · Remote · Active · Ashby

Job facts

FieldValue
CompanyNovaintelligence
TitleSenior SAP Engineer
Normalized title-
Department / teamEngineering / Engineering
LocationNew York, NY, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerAshby
Posted / first seen / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Novaintelligence.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Ashby.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyNovaintelligence
Sourced9781642-9966-4c74-93cd-968ea32ae278
ATS providerAshby

Description

Nova Intelligence is building the most powerful AI platform for SAP teams. SAP is the heart of the enterprise: almost every critical business process at the world's largest companies — finance, supply chain, manufacturing, sales — runs on SAP. Our customers use Nova to 3x the productivity of their SAP teams: modernizing legacy code, redesigning business processes, resolving production issues, and more. Nova Intelligence was founded by AI researchers, repeat entrepreneurs, and the co-inventor of SAP HANA, and has raised $40M from SAP.io , Accel, Conviction, and Chemistry. Check out the Launch Video About this role We're hiring SAP engineers to build the platform that powers Nova. You'll work across the foundational SAP infrastructure the agent runs on, the agent layer itself, and Nova's own ABAP code that runs inside customer SAP environments. Expect to spend time writing and debugging Nova's code in production SAP systems, untangling gnarly transport and installation issues at customers, and improving agent skills and prompts based on what you see. Think platform engineering, focused through the lens of SAP. This is a deeply technical role: it requires real SAP expertise, strong engineering instincts, and informed opinions about how to make AI agents reliable on enterprise systems. What you'll do Build the foundational infrastructure. You'll work on the systems and primitives the agent uses every day — off-stack code editing via abapGit, search across customer systems, identity and authorization, sandboxes, GUI automation and the integrations that connect Nova to a customer's landscape. Improve the agent's SAP knowledge. You'll write skills, refine prompts, and tune how the agent reasons about SAP systems. The goal: make Nova perform like a senior SAP developer with deep context across modernization, debugging, business process redesign, and code review. Build the evaluation loop. You'll create repeatable test cases and benchmarks that catch regressions and let us measure improvement systematically. Every meaningful customer scenario should become a reproducible eval. Debug across the full stack. When something breaks, you'll reproduce the problem, isolate the cause (skill, prompt, ABAP code, infrastructure, or model), fix it and prevent the issue from occurring again. What we're looking for You bring deep SAP technical expertise: ABAP, S/4HANA internals, transport systems, BAdIs, enhancements — the actual mechanics of how SAP systems work. Familiarity with BTP, RAP, CAP, or Integration Suite is a strong plus. You're a polyglot engineer. You've shipped meaningful code in Python, TypeScript, Go, or similar, and you reach for the right tool for each problem. You have informed opinions on agent design and frontier models — what they do well today and what they'll do well in six months. You have open-source contributions in or adjacent to the SAP ecosystem. (Strong plus, not required.) A note on scope Most people in this role focus primarily on platform engineering. Some split time with direct customer engagement. We welcome candidates interested in either path (see "Customer Facing Engineer" role for more information). Background we'd love to see 5+ years in deep SAP technical work Production experience with S/4HANA, Clean Core, or large-scale ABAP modernization Time at an early-stage startup, infrastructure company, or developer-tools company Why join You'll use Nova every day, becoming one of the most fluent users of frontier AI tooling for SAP. It's a rare vantage point: years ahead of the rest of the industry on AI for enterprise software, while shipping real value to customers. We're a small, highly talent-dense team building the infrastructure to make AI fluent in SAP. We offer competitive compensation, meaningful equity, and full health, dental, and vision coverage. If you read this and recognize the role you want, apply — even if you don't match every line.

Full job record

Job ID71f5eee55e25369828d9b1f99cba2788e09162d2
Org ID366f7b9c-a262-45c6-9c24-9e3ee67df867
Source IDd9781642-9966-4c74-93cd-968ea32ae278
Board IDd9781642-9966-4c74-93cd-968ea32ae278
Providerashby
Provider Job Keycef5ff6e-fc29-40c6-8794-5db3461d2eb6
TitleSenior SAP Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote
DepartmentEngineering
TeamEngineering
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.ashbyhq.com/novaintelligence/cef5ff6e-fc29-40c6-8794-5db3461d2eb6
Apply URLhttps://jobs.ashbyhq.com/novaintelligence/cef5ff6e-fc29-40c6-8794-5db3461d2eb6/application
First Seen At2026-05-29 06:49:21Z
Last Seen At2026-06-06 09:33:06Z
Last Checked At2026-06-06 09:33:06Z
Last Changed At2026-05-29 06:49:21Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=novaintelligence/date=2026-06-06/2026-06-06T09-33-01-282Z-ebd353f0073176b65f5ab87f2079e914c4ac2d10490e74884fea11562f95a5f2.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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