About Vantage
Vantage is the FinOps platform built for modern engineering teams, trusted by thousands of organizations including Block, FanDuel, Vercel, Temporal, and CircleCI, to manage and optimize infrastructure costs across hyperscalers, cloud providers, and foundational models. We're passionate about building a cloud cost transparency platform that helps enable everyone, from developers to enterprises, analyze, report, collaborate on, and optimize their cloud spend. Together we are a high-output team of ~50 employees based in New York City with a remote-friendly culture.
Backed by $25M from Andreessen Horowitz and Scale Venture Partners, and prominent industry veterans: Matthew Prince (Co-Founder, Cloudflare), Calvin French Owen (Co-Founder, Segment), Ben and Moisey Uretsky (Co-Founders, DigitalOcean), Stephanie and Nat Friedman (CEO, Github), Julia Lipton, Brianne Kimmel and others.
About the Role
As a Solutions Engineer, you will work hands-on with Vantage’s most strategic and technically complex customers to ensure successful adoption and long-term value. This is a highly technical, customer-facing role focused on implementation, architecture, and problem-solving, rather than pure support or customer success.
You’ll embed directly with customers during onboarding and expansion moments, helping design cloud cost allocation models, integrate complex data providers, and unblock technical challenges. You'll have a direct line to Product and Engineering, and your customer observations will shape what we build.
This role is ideal for someone who enjoys working close to customers, understands cloud infrastructure deeply, and wants to influence both customer outcomes and product direction.
What You Will Do:
Partner with customers to understand their cloud environments and cost-management goals, acting as a trusted technical advisor to customers’ engineering, FinOps, and finance stakeholders
Design and implement scalable cost allocation and tagging strategies across complex environments, including multi-cloud and Kubernetes
Support technical onboarding for complex accounts, partnering closely with Customer Success on advanced use cases
Debug and resolve data ingestion, tagging, and reporting issues in collaboration with Support and Engineering
Build custom solutions, queries, and workflows using Vantage’s APIs, exports, and integrations to unblock customer needs
Surface recurring customer pain points and edge cases to Product and Engineering, contributing to internal tooling, documentation, and repeatable implementation patterns
What We're Looking For:
5+ years in a technical, customer-facing role (Solutions Architect, Forward Deployed Engineer, Technical Consultant, Sales Engineer, or similar)
Strong understanding of cloud infrastructure (AWS, GCP, Azure) and modern data stacks
Experience working with cost data, billing exports, usage metrics, or large datasets
Comfortable writing SQL and/or Python for analysis, troubleshooting, or automation
Excellent communicator who can explain technical concepts to both technical and non-technical stakeholders
High ownership mindset and comfort operating in ambiguity
A kind person
Bonus Points:
Experience building and deploying to cloud infrastructure (AWS, Azure, GCP, etc.), and/or experience provisioning and updating services via Terraform
Experience with FinOps, cloud billing, or cost allocation models
Familiarity with Kubernetes, Snowflake, Datadog, or similar tools Vantage integrates with
Pay & Benefits
The estimated annual US compensation range for this role is $145,000 - $180,000 plus a competitive equity package. This salary range may be inclusive of several career levels and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Additional benefits for this role may include: 401(k) plan; medical, dental, and vision benefits; and education stipends.
At this time, Vantage is only set up to employ in the United States
Vantage is a self-service cloud cost platform that gives developers the tools they need to analyze, report on and optimize AWS, Azure, and GCP costs.
Key team members
William O'Neill
Chris Stanley
Steve Paulo
Herman Ng
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