AI Solutions Strategist

Posted Yesterday
Be an Early Applicant
New York, NY, USA
Hybrid
176K-240K Annually
Senior level
Fintech • Financial Services
Ramp helps thousands of businesses control spend, save time, automate busywork—and save an average of 3.5%.
The Role
Partner with enterprise finance teams to discover AI-driven automation opportunities across controllership workflows, translate needs into solution requirements and deployment plans, collaborate with engineering and product to implement AI-powered workflows, and synthesize customer learnings into scalable product improvements while quantifying impact and guiding executive stakeholders.
Summary Generated by Built In
About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the Role


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.

 

What You'll Do

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.

 
What You Need
  • 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).

 
Working style

We collaborate best when we’re close to the work and close to each other. This role is hybrid in New York, with time in-office to partner tightly with product and engineering teams. Importantly, this role required spending time with customers to understand real workflows, so travel and flexibility are critical to success.

Benefits available to all full-time Ramp employees (Global)

• Flexible PTO

• Unlimited AI token usage

• Centralized home-office equipment ordering

• Health and wellness stipend

• Budget for intra-office travel

• Weekly coffee stipend

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents

• One Medical annual membership

• 401(k), including employer match on contributions made while employed by Ramp

• Fertility HRA (up to $10,000 per year)

• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay

• Pet insurance

• In-office perks: lunch, snacks, drinks, and more

• Relocation support to NYC or SF (as needed)

Canada

• Group medical, dental, and vision coverage through Sun Life

• Life, AD&D, and disability coverage

• Fertility drug coverage (up to $4,000 lifetime)

• Group Retirement Plan with employer match (RRSP + DPSP)

• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite

• Virtual GP and at-home care via eMed x Livi

• Workplace pension through Penfold, with salary sacrifice option

• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

 
Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

 

Ramp Applicant Privacy Notice

Skills Required

  • Strong customer empathy and ability to earn trust with senior stakeholders
  • Excellent problem framing and ability to turn messy workflows into clear systems
  • Comfort operating in ambiguity and iterating quickly while maintaining quality
  • Strong written and verbal communication (briefs, requirements, workshops, exec readouts)
  • Builder mindset: experience shipping, learning, and improving product or solutions
  • Experience in solutions, implementation, product strategy, consulting, or technical program management
  • Deep grounding in corporate finance and controllership workflows (close, controls, spend governance, budgeting, procurement, AP)
  • Experience translating finance requirements into system design/configuration (ERP/accounting, procurement, expense management, payments), including integrations, data mapping, and controls
  • Ability to partner with finance system owners/admins to drive change management, UAT, and rollouts
  • Familiarity with finance operations workflows (AP, procurement, expenses, cards, accounting close)
  • Exposure to AI-enabled products, automation, or applied ML (product/implementation experience preferred over engineering)
  • Basic comfort with data concepts and systems integration (APIs, ETL, SQL, spreadsheets, data quality)
  • Hybrid role in New York with in-office collaboration and customer-facing travel/flexibility

Ramp Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ramp and has not been reviewed or approved by Ramp.

  • Fair & Transparent Compensation Fair & Transparent Compensation: Pay is positioned as competitive or top-of-market in core technical roles, with strong base pay and total compensation ranges cited for engineers and product roles. Compensation is also framed as including meaningful equity alongside salary, making offers feel compelling versus many startup benchmarks.
  • Healthcare Strength Healthcare Strength: Healthcare coverage is described as comprehensive, often including medical, dental, and vision, with additional primary-care access via a One Medical membership. The package is portrayed as above-average on employer coverage for employees, increasing perceived value of the benefits bundle.
  • Retirement Support Retirement Support: A 401(k) with an employer match is consistently included as a core benefit. Immediate or meaningful matching is presented as a concrete financial benefit that goes beyond a basic plan offering.

Ramp Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
450 Employees
Year Founded: 2019

What We Do

Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. More than 10,000 customers cut their expenses by 3.5% per year and closing their books 8x faster by switching to the Ramp platform. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow at an increasingly large scale, more than doubling its revenue run rate in the first half of 2022. Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. Ramp was named Fast Company’s most innovative finance company in 2022.

Gallery

Gallery

Similar Jobs

BuildOps Logo BuildOps

Manager, PMO

Cloud • Mobile • Software
Easy Apply
Remote or Hybrid
United States
500 Employees

Metropolis Technologies Logo Metropolis Technologies

Director, Benefits

Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Easy Apply
In-Office
New York, NY, USA
23100 Employees
175K-195K Annually

Gusto Logo Gusto

Senior Account Executive

Fintech • HR Tech
Easy Apply
Remote or Hybrid
7 Locations
4405 Employees
115K-150K Annually

Nexthink Logo Nexthink

Enterprise Account Executive

Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Remote or Hybrid
New York, NY, USA
1200 Employees
150K-360K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account