---
title: 'Senior Product Marketing Manager | Database Optimization at Cast AI'
canonical: 'https://feeny.ai/job/senior-product-marketing-manager-database-optimization-cast-ai-netherlands-3dtka7netpc6'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Product Marketing Manager | Database Optimization at Cast AI

- **Company:** Cast AI
- **Location:** Netherlands
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-05
- **Apply:** https://cast.ai/careers/apply/?gh_jid=4343197009

## 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

DBO is one of Cast AI's newest products. It continuously improves PostgreSQL and MySQL performance through automated tuning actions and AI-driven query optimization, reducing the manual work required to keep production databases fast and reliable.

You'll own DBO's go-to-market motion end to end. The product already has paying customers and measurable performance results. What it doesn't have yet is a dedicated commercial narrative, a validated ICP, or a repeatable path from first conversation to closed deal. You will have direct access to early customers, Product, Engineering, and company leadership, with the mandate to turn market evidence into DBO's go-to-market playbook.

This is a hands-on, research-heavy role, and a different kind of PMM job than owning a mature product line. You'll spend real time talking to early customers yourself, running tests on what messaging and channels actually work, and building ICP and positioning from scratch rather than refining something that already exists. We operate automation-first and market-obsessed, so you're expected to treat every test and every customer conversation as an input, not a formality.

You'll report to the Director of Product Marketing and work closely with DBO's Product and Engineering leadership, with support from Content, Growth, Design, and Sales Enablement as this work scales.

What success looks like in 180 days

- A validated ICP and buyer persona, tested against DBO's existing customer base and new prospects.
- Positioning and messaging tested and refined through real conversations, with a clear point of view on how DBO's story differs from point solutions already in the market.
- Early evidence of which channels and content actually convert, from structured tests rather than assumptions.
- Consistent, quantified proof points from existing customers, backed by real performance data.

Requirements:

- 5+ years of product marketing experience in a technical B2B category, with demonstrated depth in at least one relevant market.
- Real experience building an ICP and messaging architecture from scratch, for a product where the buying motion hasn't been fully validated yet.
- Demonstrated ability to build credibility with technical practitioners and executive buyers.
- Track record of running customer interviews and extracting patterns to refine positioning.
- Excellent writing, backed by relevant work samples: positioning, launch content, sales narratives.
- Experience designing GTM experiments and changing direction based on results.
- Basic data literacy, including defining success criteria and reading funnel or adoption data.
- Experience with win/loss research and competitive deal support.
- Fluent English, written and spoken.

What would make you stand out

- Background in database performance, reliability tooling, or observability markets.
- Experience operating successfully in an early-stage or ambiguous product environment.
- Experience building the initial go-to-market motion for a product without an established playbook.
- Evidence that AI meaningfully improved a PMM outcome, speed, quality, reuse, or measurement.
- Commercial judgment around pricing, packaging, and willingness to pay, even where Product owns the final call.

What would make you stand out:

- Owned positioning or GTM for an infrastructure, DevOps, or platform engineering product.
- Background in AI infrastructure, data platforms, or developer tools.
- Used customer and deal evidence to shape product strategy and GTM.
- Evidence of using AI to make your own PMM work faster, more consistent, more reusable, or easier to measure

Responsibilities:

- Run deep, direct customer research to define and validate DBO's ICP.
- Own positioning and messaging, including where DBO's story connects to Cast AI's broader platform for existing customers, and keep it consistent as new features ship.
- Own the commercial hypothesis, audience, message, positioning, and experiment design for GTM tests across trial flow, content, and channels. Growth, Product, and Demand Gen help execute the experiments and measure results.
- Translate the technical differentiation behind DBO into a value story its technical buyers recognize as true.
- Manage feature launches end to end, from early positioning through GA.
- Build and iterate on sales enablement assets, battlecards, proof points, and demo narrative, since the product doesn't have a mature sales motion yet.
- Maintain the feedback loop from customer and market signal back into roadmap input.
- Track the competitive landscape and share what's changing with product and leadership.
- Partner directly with Engineering to keep messaging accurate as fast-moving features evolve.
- Build and maintain AI-assisted workflows that make this function faster, more consistent, or easier to measure.

What’s in it for you?

- Competitive salary (depending on the level of experience).
- Enjoy a 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.
- Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
- Spend 10% of your work time on personal projects or self-improvement.
- Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
- 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 a Recruiter.
- Interview with the Hiring Manager.
- Practical exercise.
- Cross-functional interview.
- 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. #LI-Remote

## 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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