Senior Engineering Manager, Agentic AI for Finance
Everpure
| Company | Everpure |
| Category | Engineering |
| Location | Bangalore |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 15 Jul 2026 |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
We’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.
This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE
The Data and Analytics (DnA) organization at Everpure is seeking a Senior Manager, Finance AI Transformation to help Finance run AI, automation, analytics, and data as a core operating strategy — not a side project. You'll be genuinely hands-on — using modern AI tools to build working prototypes yourself ("vibe coding") and prove what works. You'll be the business-facing strategy and adoption lead for DnA's AI Factory for Finance, our in-house capability for building, governing, and scaling AI-enabled Finance solutions.
Your Impact: You’ll turn trusted data and AI capabilities into measurable improvements in productivity, controls, and executive decision-making across the Office of the CFO. You’ll partner directly with leadership across Accounting, Revenue, Order Management, and GTM Finance to identify high-value AI opportunities, run focused pilots, and scale what works.
Finance functions remain accountable for their processes and outcomes; you’ll be the catalyst that brings DnA-led AI and automation capabilities to life — translating high-priority opportunities into implemented solutions with the right governance, controls, and adoption. You’ll lead through influence across Finance, DnA, and IT, with the opportunity to take on broader team leadership as the AI Factory scales.
WHAT YOU'LL DO
Work closely with Finance functions to identify high-value AI and automation use cases, and redesign the underlying processes so they can be AI-enabled.
Prioritize opportunities, prove them through focused pilots, and scale what works — with clear business cases, measurable impact, and practical adoption plans.
Act as the bridge between Finance, DnA, and IT / Business Systems — translating finance requirements into delivery-ready process, data, control, and system requirements.
Help design trusted finance data products, semantic layers, workflows, and AI-enabled capabilities that reduce manual work and improve decision-making.
Build the operating cadence for transformation delivery, including intake, business cases, prioritization, milestones, risks, stakeholder updates, adoption metrics, and benefits realization.
Drive adoption of Finance AI capabilities through UAT, training, launch communications, standard work, operating routines, and feedback loops so new capabilities are trusted and used.
Define and track value realization for Finance AI initiatives — cycle-time reduction, manual-effort reduction, adoption, control improvements, quality gains, and stakeholder satisfaction.
We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
You don’t need to check every box. The core is deep finance fluency, hands-on AI and automation experience, and the ability to lead transformation through influence — strength across several of the rest rounds out the profile.
Experience: 8+ years of experience in finance transformation, accounting, revenue / GTM finance, finance operations, consulting, business systems, data / analytics, or related roles.
Finance core literacy: Strong understanding of core finance and accounting processes, data structures, and workflows — including close, general ledger, revenue recognition, Quote-to-Cash / Order-to-Cash, Record-to-Report, controls, and related finance operations.
AI and automation track record: Demonstrated experience evaluating, piloting, or deplo