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Lead Solutions Consultant - NetSuite

DualEntry, New York, New York, us, 10261

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Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups. At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years. Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past. We operate with urgency and ownership. We move fast. Why this role matters now

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade. We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies - Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves. We’re a small team, growing fast with huge momentum -

join early. As our

Solutions Consultant

you’ll sit at the intersection of Sales and Product. You’ll build the SC function from the ground up while actively closing deals hands-on. This is a foundational, critical customer-facing role with high growth and leadership trajectory. This role is a launchpad to define how DualEntry sells and grows in multiple markets. Location: New York City HQ Where you'll create impact

Build and drive the SC function from the ground up to world-class competition level Serve as DualEntry’s lead solutions consultant in sales conversations, translating complex finance and accounting workflows into clear product solutions Run product demos tailored to each prospect’s workflows, data, and success criteria (expertise in ASC 606 is a plus) Own technical discovery and remove technical objections across integrations, data migration, security, reporting and future functionality Build proof-of-concepts and demo environments for different verticals we sell into Partner with Product and Engineering to prioritize the roadmap with customer insights Create and standardize demo assets, playbooks, and technical collateral to scale the Solutions function and train future hires What sets you up for success

Exceptional accounting foundation: you’ve worked in audit/public accounting and/or in-house finance at a tech or high-growth company (CPA a plus) You understand accounting ops end-to-end: close, journal entries, approvals, reconciliations, multi-entity, reporting, controls, etc. Depth in 1-2 complex accounting areas (e.g., revenue recognition, inventory, FX, leases, consolidation) You’ve spent time in the CFO systems stack (ERP, billing, payroll, banking, AP/AR, FP&A, BI) and you can map workflows across tools Comfortable in technical conversations: integrations, APIs, data imports/migrations, security, architecture trade-offs (SQL or data/ETL experience is a plus) You can run demos and communicate clearly with both CFOs and engineers incl. developing scalable SC processes and playbooks High ownership and high pace Hardcore work ethic and high agency Nice To Have

CPA Hands‑on experience with NetSuite / SAP / Oracle / Workday / QuickBooks Enterprise migrations Familiarity with data transformation / ETL / modeling / SQL Experience designing API integrations or working with middleware tools Prior leadership / mentorship experience building Solutions or Implementation teams How you operate

Pragmatic:

you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability -- we use Postgres until it breaks Hard working:

'You can work long, hard, or smart, but [here] you can't choose two out of three

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