---
title: 'Account Executive | Enterprise | UK at Cast AI'
canonical: 'https://feeny.ai/job/account-executive-enterprise-uk-cast-ai-london-xge6qe6rdare'
type: 'job'
last_seen: '2026-10-17'
---

# Account Executive | Enterprise | UK at Cast AI

- **Company:** Cast AI
- **Location:** London, United Kingdom
- **Posted:** 2026-09-23
- **Last confirmed live:** 2026-10-17
- **Apply:** https://cast.ai/careers/apply/?gh_jid=4406576009

## Job description

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn’t work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives We’re headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we’re just getting started.

Join us as we build the future of autonomous infrastructure.

## About the role

Kubernetes and cloud spend are two of the fastest-growing line items in enterprise IT, and most companies are still managing both by hand. As an Account Executive at Cast AI, you'll sell into that gap: a platform that automates decisions engineering teams are currently making manually, at a company that just crossed unicorn status and is scaling its go-to-market fast. You'll own the full sales cycle for a growing book of enterprise accounts, working a market with real urgency behind it and a product with proven traction across 2,100+ companies, from Akamai to BMW to Cisco.

What'll You Own?

- Drive outbound pipeline generation as a core part of the role, not an afterthought
- Run Opportunity Assessments to identify and qualify viable leads
- Lead Value Discovery conversations that align Cast AI's platform with each client's infrastructure and cost challenges
- Demonstrate the concrete value of Cast AI's offering to technical and business stakeholders
- Drive Value Delivery by working closely with implementation teams and measuring results against the business case
- Identify key contacts within target accounts, understand their needs, and tailor proposals accordingly
- Negotiate and close deals while building toward long-term customer satisfaction, not just a signed contract

What'll You Need?

- Proven experience running a full enterprise sales cycle as an Account Executive, from Opportunity Assessment through Value Delivery
- A demonstrated track record selling cloud SaaS in Cloud Infrastructure, Cloud Cost Control, Cloud Security, or DevOps tools, or a closely adjacent space
- Hands-on experience running deals with the MEDDIC methodology
- A history of successful negotiation and closing, with a genuine focus on long-term customer outcomes
- A strong outbound orientation: you build your own pipeline with consistency (at least weekly) rather than relying solely on inbound (Pipeline Generation discipline)

What Makes You Stand Out?

- Experience with Kubernetes, the broader sales lifecycle, and the cloud space specifically

What’s in it for you

- Competitive salary ($200k - $250k OTE)
- Flexible, remote-first global environment
- Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
- Equity options
- Learning budget for professional and personal development, including access to international conferences and courses
- Team-building budget and company events to connect with your colleagues
- Equipment budget to ensure you have everything you need
- Extra days off to help maintain a healthy work-life balance

Hiring process

- Screening call with Recruiter
- Hiring Manager interview
- 1-2 additional interviews based on the role
- Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit.

## About Cast AI

## Company Overview
- **One-liner**: Cast AI provides an Application Performance Automation (APA) platform that continuously optimizes Kubernetes infrastructure for cost, performance, and reliability with minimal manual intervention.
- **Entity Type**: Private (Series C; total funding ~$185.8M–$199.9M per conflicting reports)
- **Headquarters**: Miami, Florida, United States
- **Founded**: 2019
- **Founders**: Leon Kuperman (CEO), Laurent Gil (President), Yuri Frayman (CTO)

## Core Business
- **Primary industry**: Kubernetes optimization, cloud cost management, and application performance automation.
- **Target customers**: Platform, SRE, and FinOps teams at B2B companies running Kubernetes (SMB to enterprise).
- **Mission/purpose statement**: “The cloud as promised: fast, reliable and cost-efficient.” [cast.ai/about-us](https://cast.ai/about-us/)

## Products & Services
- **Cast AI APA Platform**: A SaaS platform that ingests real-time workload, cost, and SLO signals to autonomously rightsize pods, scale nodes, optimize GPU and Spot instances, and self-heal operational issues. Supports AWS EKS, Azure AKS, Google GKE, and on-prem clusters. Includes cost and performance dashboards, agentic runbooks, and workload-aware predictive models. [cast.ai](https://cast.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Annual Revenue reported as ~$60M (LinkedIn); Total Funding ~$185.8M (LinkedIn) or ~$199.9M (CB Insights – conflicting reports).
- **Notable Investors/Partners**: Specific investors are not named in available sources; funding rounds include Series B ($35M, Nov 2023, 3 investors), a venture round ($20M, Mar 2023), and Series C ($108M, Apr 2025, 8 investors). [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai) | [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)
- **Growth Signals**: 2100+ customers globally; 40% cloud waste reduction claimed; 270 employees (+19.4% YoY); ranked #1 out of 223 solutions in its category; offices in Miami, New York, Vilnius, London, Tel Aviv, Bengaluru, Dallas. [cast.ai/about-us](https://cast.ai/about-us/) | [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Competitive Advantages
- **Predictive engine trained on massive dataset** from thousands of clusters and millions of workloads – moves beyond rule-based automation to workload-aware decisions.
- **App-aware reliability**: Predicts spot instance interruptions up to 30 minutes before they occur, enabling graceful workload migration.
- **Agentic runbooks** that self-heal drift, image issues, policy violations while requiring human approval for changes.
- **Works in read-only mode initially** – no infrastructure changes required to start, lowering adoption risk.

## Strategic Focus
- Expanding automation to GPU/AI workload optimization alongside traditional Kubernetes rightsizing.
- Deepening integrations with cloud providers (AWS, Azure, Google) and extending agentic capabilities.
- Scaling global presence with remote-first teams and new offices in key tech hubs.

## Why Work Here
- **Remote-first** culture with flexible hours and fully supported remote work; offices available in multiple countries. [cast.ai/careers](https://cast.ai/careers/)
- **Benefits**: Stock options from day one, annual hackathon, home office allowance, learning & development budget, comprehensive health insurance, bonus days off, company events.
- **Engineering culture**: Values “practice customer obsession,” “develop and hire the best,” “lead by ownership,” and “expect and advocate change.” Emphasis on innovation and fast learning.
- **Glassdoor style**: Employer rating 4.3/5 (57 reviews); culture 4.0, compensation 4.2, career 4.2. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)

## Sources
1. [cast.ai/about-us](https://cast.ai/about-us/)
2. [cast.ai](https://cast.ai/)
3. [cast.ai/careers](https://cast.ai/careers/)
4. [linkedin.com/company/cast-ai](https://www.linkedin.com/company/cast-ai)
5. [cbinsights.com/company/cast-ai](https://www.cbinsights.com/company/cast-ai)

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