AI Solutions Strategist, Ramp
$176-240k
+ Equity
All-in-one financial operations platform
Be an early applicant
All-in-one financial operations platform
1001+ employees
Be an early applicant
$176-240k
+ Equity
1001+ employees
Company mission
To help finance teams build healthier businesses.
Role
Who you are
- Strong customer empathy and the ability to earn trust quickly with senior stakeholders
- Excellent problem framing: you can turn messy workflows into clear systems and priorities
- Comfort operating in ambiguity and iterating quickly while keeping quality high
- Ability to communicate clearly in writing (briefs, requirements, postmortems) and verbally (workshops, exec readouts)
- A builder mindset: you like shipping, learning, and improving the system
- Experience in solutions, implementation, product strategy, consulting, or technical program management
- Strong grounding in corporate finance / controllership workflows, including accounting close, spend governance/controls, budgeting, procurement, and AP operations
- Experience translating finance requirements into system design and configuration (e.g., ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls
- Ability to partner with finance system owners/admins to drive change management, testing (UAT), and successful rollouts
- Familiarity with finance operations workflows (AP, procurement, expenses, cards, accounting close)
- Exposure to AI-enabled products, automation, or applied ML (you do not need to be an ML engineer)
- Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)
What the job involves
- As an AI Solutions Strategist, you will sit at the intersection of customers, AI delivery, and Ramp’s core product teams
- You will partner with enterprise/strategic customers to deeply understand their finance workflows—especially corporate finance and controllership priorities like close, controls, and spend governance—identify high-impact opportunities for AI and automation, and translate those needs into clear problem statements, solution designs, and actionable feedback for Ramp’s Product, Engineering, and Go-to-Market teams
- This role is for someone who can listen carefully, structure ambiguity, and turn on-the-ground learnings into scalable solutions
- This role required high proactivity and bias to action
- No two days are the same, but you can expect to:
- Discover and diagnose customer needs
- Run stakeholder interviews and workflow deep dives with Finance, Procurement, AP, and IT teams
- Map end-to-end processes and pinpoint the “why” behind pain points (risk, cost, cycle time, compliance, exceptions)
- Identify where AI can create leverage, including intelligent intake, classification, routing, matching, and exception handling
- Translate needs into clear solution requirements
- Turn qualitative input into crisp requirements: problem statements, success metrics, constraints, and acceptance criteria
- Define deployment plans that balance speed, safety, and scalability (MVP → iteration → rollout)
- Partner with customer teams to align on change management, operating model updates, and adoption plans
- Partner with technical teams to implement AI-powered workflows
- Work closely with Ramp Engineers and AI builders to design and ship solutions that meet real customer workflows
- Help specify data inputs, integrations, and governance needs (system-of-records, policy rules, auditability)
- Support evaluation of models and prompts against customer-specific edge cases and risk tolerance
- Drive feedback loops into Ramp’s core product
- Synthesize learnings across customers into reusable patterns and product opportunities
- Write high-signal briefs for Product and Engineering: what customers need, why it matters, and what to build next
- Advocate for scalable solutions that reduce custom work over time
- Communicate impact and guide executives
- Present status, outcomes, and recommendations to audiences ranging from operators to execs
- Quantify impact (time saved, error reduction, improved compliance, faster close) and connect it to business outcomes
- Create simple narratives, demos, and artifacts that make AI workflows understandable and trustworthy
Our take
Ramp provides companies with a dual offering of corporate cards and a spending management dashboard. The dashboard allows companies to oversee their costs, automate manual accounting practices, reimburse out-of-pocket spending, and earn cashback on financial outlays.
Founded in 2019 and coming out of stealth in 2020, the company quickly reached a valuation of a whopping $8.1B in early 2022 and hit $22.5B in 2025. Its clients include several big-name companies including fast-growth health tech startup Ro, Planned Parenthood, and Truebill. 90% of its customers have made the switch from legacy players such as Expensify and Concur, showing that Ramp provides real customer value.
The team that built Ramp is the same one that launched the automated price tracking company Paribus before selling it to Capital One. It is now focused on scoping out more M&A opportunities and boosting its headcount to support investing in its software and going into new verticals.
Freddie
Company Specialist at Welcome to the Jungle
Insights
77% employee growth in 12 months
Company
Funding (last 2 of 13 rounds)
Jun 2026
$750m
SERIES F
Nov 2025
$300m
GROWTH EQUITY VC
Total funding: $2.9bn
Company benefits
- Comprehensive medical, dental, and vision insurance
- One Medical Membership
- 401(k) including an employer match
- Unlimited PTO
- Parental leave
- Monthly wellness stipend
- WFH stipend
- Relocation support to move to NYC
- Pet Insurance
Company HQ
Ukrainian Village, New York, NY
Leadership
Eric Glyman
(Co-Founder & CEO)Studied Economics at Harvard. Was a Trustee at Global China Connection for over 5 years, and then became a Financial Analyst working at Millstein & Co. Co-founded Paribus, which became Capital One.
Karim Atiyeh
(Co-Founder & CTO)Studied Computer Science at Harvard, and became a Teaching Fellow. Worked in PowerPoint and Excel at Oliver Wyman. Became an Advisor at One Zero Capital. Founded and served as CTO to Paribus, later sold to Capital One.
Gene Lee
(Co-Founder)Studied at and became a Research Assistant at the University of Chicago. Was a Marketing Contractor at AdBlock and worked as a Software Engineer at BTCjam. Worked again as a Software Engineer at Paribus and then became Senior Engineering Manager at Capital One.
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