Product Operations
Ramp · Finance
- Location: New York, San Francisco (United States of America)
- Work arrangement: hybrid
- Employment type: Full Time
- Salary: $128k - $180k USD/yr
- Seniority: middle
- Posted:
Job description
Position:
Product Operations | Customer Setup
Company:
Ramp
Compensation:
$128K – $180K • Offers Equity
Location:
United States, New York, NY (HQ); San Francisco, CA
Employment Type:
Full time
Work Arrangement:
Hybrid
Short Summary:
Ramp is building the smart infrastructure for finance teams, automating how over $200B in annualized spend flows in and out of 70,000+ companies. The role involves building and scaling operating systems for customer setup and enhancing the spend experience.
Responsibilities:
- Provide holistic Product Operations support for the product onboarding experience across program management, customer testing, launch readiness, change management, and iteration.
- Partner with Product, Engineering, Design, Data, CX, Sales, CSM, and Operations to translate customer feedback into crisp requirements, operating plans, and shipped improvements.
- Identify setup and onboarding issues that cut across login, invites, provisioning, multi-entity setup, policies, cards, and first spend.
- Build scalable operating cadences that improve cross-team alignment, release readiness, customer communication, and accountability.
- Use AI to automate processes, improve analysis, and directly ship product or workflow improvements that reduce customer friction.
Requirement:
- 3+ years in product operations, product management, program management, consulting, customer success, account management, or a customer-facing analytical role supporting B2B SaaS.
- Experience using data to size opportunities, diagnose root causes, analyze support trends, and measure whether product or operational fixes reduce customer friction.
- Strong customer judgment and ability to understand onboarding, setup, access, identity, or spend-management friction from both customer and internal-team perspectives.
- Ability to translate qualitative feedback and messy cross-functional input into crisp requirements, prioritized action plans, and durable operating processes.
- Comfort working in ambiguous, technically complex areas and driving clarity across Product, Engineering, CX, Sales, CSM, Data, and Operations.
- Strong problem solving, prioritization, and communication skills; bias to ship improvements quickly and measure impact.
- Experience using AI tools to accelerate analysis, workflow automation, enablement, or direct product/process improvements.
Benefits:
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
- 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)
Product Operations | Customer Setup
Company:
Ramp
Compensation:
$128K – $180K • Offers Equity
Location:
United States, New York, NY (HQ); San Francisco, CA
Employment Type:
Full time
Work Arrangement:
Hybrid
Short Summary:
Ramp is building the smart infrastructure for finance teams, automating how over $200B in annualized spend flows in and out of 70,000+ companies. The role involves building and scaling operating systems for customer setup and enhancing the spend experience.
Responsibilities:
- Provide holistic Product Operations support for the product onboarding experience across program management, customer testing, launch readiness, change management, and iteration.
- Partner with Product, Engineering, Design, Data, CX, Sales, CSM, and Operations to translate customer feedback into crisp requirements, operating plans, and shipped improvements.
- Identify setup and onboarding issues that cut across login, invites, provisioning, multi-entity setup, policies, cards, and first spend.
- Build scalable operating cadences that improve cross-team alignment, release readiness, customer communication, and accountability.
- Use AI to automate processes, improve analysis, and directly ship product or workflow improvements that reduce customer friction.
Requirement:
- 3+ years in product operations, product management, program management, consulting, customer success, account management, or a customer-facing analytical role supporting B2B SaaS.
- Experience using data to size opportunities, diagnose root causes, analyze support trends, and measure whether product or operational fixes reduce customer friction.
- Strong customer judgment and ability to understand onboarding, setup, access, identity, or spend-management friction from both customer and internal-team perspectives.
- Ability to translate qualitative feedback and messy cross-functional input into crisp requirements, prioritized action plans, and durable operating processes.
- Comfort working in ambiguous, technically complex areas and driving clarity across Product, Engineering, CX, Sales, CSM, Data, and Operations.
- Strong problem solving, prioritization, and communication skills; bias to ship improvements quickly and measure impact.
- Experience using AI tools to accelerate analysis, workflow automation, enablement, or direct product/process improvements.
Benefits:
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
- 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)
Skills
- ai_tools
- data
Languages
EN
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