Customer Success Representative
Listed on 2026-07-30
-
IT/Tech
Technical Support, HelpDesk/Support
Runware is the unified developer platform for AI inference —
one API for all AI
. We are building infrastructure that runs AI faster, more cost-effectively, and with higher redundancy.
Companies like Higgsfield, Open Art, Freepik
, and Nightcafe use Runware to power generative AI workflows in their products. Through a single API, without needing to manage the underlying infrastructure and model complexity themselves.
Today, Runware aggregates hundreds of AI model classes and hundreds of thousands of model variants behind one consistent schema and endpoint. Next, we aim to make every AI model available to every developer through a unified API. Building a platform that abstracts all of that, and serves >300 million end-users across >200,000 developers, requires solving the industry's hardest problems across ML systems, infrastructure, API design, and developer experience simultaneously.
RoleSummary
We’re looking for a Senior Customer Success Representative to own post-sales relationships with developers and product teams using Runware’s AI inference platform.
This role sits at the intersection of technical understanding, customer support, and commercial awareness
. Your goal is to ensure customers onboard smoothly, scale successfully, and remain long-term partners.
You’ll work closely with customers, product, and engineering, acting as a clear and reliable point of contact in both day-to-day usage and more complex situations.
What You’ll Do Customer Ownership & Adoption- Own a portfolio of customers after onboarding and act as their main point of contact
- Guide customers through technical adoption, usage patterns, and scaling
- Help customers understand and adopt new models, features, and releases
- Maintain clear communication across Slack, email, and calls with technical and non-technical stakeholders
- Monitor usage, performance, and health signals
- Help troubleshoot issues, coordinate with engineering, and manage incidents calmly and clearly
- Ensure issues are communicated transparently and followed through to resolution
- Collect and share customer feedback with product and engineering teams
- Translate customer needs into actionable insights for internal teams
- Act as a point of coordination between customers and internal stakeholders
- Support conversations around pricing, usage, renewals, and expansions
- Help customers understand how usage and pricing models work
Requirements
Core Requirements- Experience in Customer Success, Technical Account Management, Solutions Engineering
, or similar roles (technical vendor management can also be relevant) - Familiarity with AI / ML concepts (models, inference, latency, usage-based pricing)
- Experience with AI platforms, cloud infrastructure, or developer tools
- Previous exposure to usage-based or consumption-based business models
- Comfortable working with developers, product teams, APIs, and technical products
- Strong ability to explain complex technical concepts clearly and simply
- Commercial awareness: understands usage-based pricing, incentives, renewals, and expansions
- Able to operate calmly and clearly during incidents or high-pressure situations
- Comfortable learning new tools and internal systems quickly
- Experience managing multiple customer accounts or threads in parallel
- Strong ownership mindset
: identifies problems, proposes solutions, and drives them to completion - Proactive rather than reactive in day-to-day work
- Structured thinker, able to synthesize customer input into clear actions
- Comfortable working in environments where not everything is fully defined
- Customer-focused, with the ability to balance empathy and realistic commitments
- Clear and concise communicator in a Slack-first, async environment
Candidates don’t need prior experience with all of these, but should be comfortable in similar environments:
- Customer communication: Slack (primary), email, Google Meet/Teams
- Support / ticketing: Zendesk, Intercom, Jira, Linear, Git Hub Issues, or similar
- Monitoring & debugging: logs, metrics, dashboards (Datadog, Grafana, internal tools)
- Docs & knowledge…
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