ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not infrastructure. As ...
Quick apply
ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not infrastructure. As ...
Head of Business Development
New York, NY · On-site +1
Description ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not ...
Head of Business Development
New York, NY · On-site +1
Description ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not ...
ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not infrastructure. As ...
Quick apply
ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not infrastructure. As ...
DevOps Engineer
North Reading, MA · On-site
$55.75 - $76.25/hr
... ScaleOps) • Experience migrating ingress controllers at scale • Amazon MSK administration and Kafka operations knowledge • Okta or SSO/IdP integration experience • Blue-green or canary ...
DevOps Engineer
North Reading, MA · On-site
$55.75 - $76.25/hr
... ScaleOps) • Experience migrating ingress controllers at scale • Amazon MSK administration and Kafka operations knowledge • Okta or SSO/IdP integration experience • Blue-green or canary ...
Scaleops information
What are Scaleops?
Scaleops, short for 'Scale Operations', are professionals who focus on optimizing, automating, and scaling business operations, particularly in tech-driven organizations. They work on streamlining workflows, implementing tools and processes, and ensuring that teams can grow efficiently without operational bottlenecks. Scaleops often collaborate with product, engineering, and business teams to identify areas for improvement and implement scalable solutions. Their work is crucial for fast-growing companies aiming to maintain productivity and agility as they expand.
What is the difference between Scaleops vs Cloud Engineer?
| Aspect | Scaleops | Cloud Engineer |
|---|---|---|
| Required Credentials | Typically certifications in cloud platforms, DevOps, or related fields | Certifications like AWS, Azure, Google Cloud, and programming skills |
| Work Environment | Focus on managing and scaling cloud infrastructure, often in DevOps teams | Designing, deploying, and maintaining cloud-based applications and services |
| Employer & Industry Usage | Used in companies focusing on cloud infrastructure scaling and automation | Common across tech companies, startups, and enterprises deploying cloud solutions |
While both roles involve cloud technologies, Scaleops primarily focuses on scaling and automating cloud infrastructure, whereas Cloud Engineers design and implement cloud solutions. Understanding these differences helps in choosing the right career path or job search focus.
What are the key skills and qualifications needed to thrive as a ScaleOps Engineer, and why are they important?
To thrive as a ScaleOps Engineer, you need expertise in scalable systems design, cloud infrastructure, and automation, typically supported by a degree in computer science or related field. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud platforms (AWS, GCP, or Azure) is essential, along with relevant certifications such as AWS Certified Solutions Architect. Strong problem-solving, collaboration, and communication skills help in working across teams to ensure system reliability and rapid incident response. These skills are crucial for maintaining efficient, resilient, and scalable infrastructure that supports business growth and minimizes downtime.
What are the typical challenges faced by a ScaleOps professional when managing large-scale infrastructure automation?
ScaleOps professionals often encounter challenges related to automating and orchestrating infrastructure in rapidly growing environments. These can include maintaining system reliability during scaling, managing configuration drift, integrating new tools into existing workflows, and ensuring security compliance. Effective collaboration with development, security, and operations teams is crucial to anticipate scaling needs and address incidents quickly. The fast-paced nature of ScaleOps roles also demands continual learning and adaptation to new technologies and best practices.
More about Scaleops jobs
What cities are hiring for Scaleops jobs? Cities with the most Scaleops job openings:
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Full-time
Posted 6 days ago
Job description
ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free software engineers from manual resource management so they can focus on innovation, not infrastructure. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises, including Adobe, Wiz, DocuSign, Coupa, and Fortune 100 companies, to autonomously manage their most critical production environments. The result: maximized performance and cloud costs cut by up to 80%.
Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.
We're looking for a Senior Marketing Operations & AI Manager to own the systems, processes, and data that power our marketing machine. This is a multidimensional role: you'll be the operational backbone of the marketing team, own performance analytics and funnel visibility, and actively drive AI adoption across marketing workflows, all in close collaboration with the Growth and GTM teams.
Responsibilities:
- Own and optimize HubSpot end-to-end, with working knowledge of Salesforce for field mapping and lead flow alignment
- Design, implement, and continuously improve email marketing and nurture campaign strategies to drive engagement, lead progression, and conversion
- Maintain operational workflows, scoring models, and segmentation strategies that support personalized, scalable campaign execution
- Build and own marketing analytics frameworks, including dashboards, attribution models, and funnel reporting, that give clear visibility into campaign ROI and pipeline contribution
- Analyze campaign and channel performance and translate findings into actionable recommendations for the team
- Partner with the GTM Operations team to ensure data integrity and unified reporting across marketing and sales
- Identify, pilot, and scale AI-powered tools and workflows within the marketing team, from intelligent segmentation and lead scoring to content automation and campaign optimization
- Assist with event operations: flows, routing, landing pages, and reporting
- Work cross-functionally with content, demand generation, and SDR teams to support pipeline growth
- Be the go-to operational and data resource for the marketing team
Requirements:
- 5+ years of experience in marketing operations or a related field
- Proven expertise in HubSpot and Salesforce, including integrations and campaign performance tracking
- Strong background in email marketing, lead nurturing, and marketing automation
- Hands-on experience with analytics and reporting, including building dashboards, measuring funnel performance, and driving data-informed decisions
- Genuine curiosity about AI tools and a track record of applying them to improve marketing efficiency and outcomes is a strong advantage
- Data-driven mindset with a passion for testing, optimization, and process improvement
- Understanding of full-funnel infrastructure, from top-of-funnel traffic through SQLs, closed-won customers, and renewals
- Experience in a fast-paced startup environment is a must
- Familiarity with DevOps, cloud infrastructure, or Kubernetes is a significant advantage