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Customer Success Operations Manager Jobs in Renton, WA

Learn more at flexera.com A Customer Success Manager (CSM) is a cross-functional and natural leader with vast field andpractitionerexperience in the industry, a record of success leading complex ...

Customer Success Lead

Bellevue, WA · On-site

$135K - $185K/yr

The Customer Success Lead will manage a team of 4-5 Customer Success Managers and be responsible ... The Customer Success Lead is the operational owner, responsible for its accuracy, cadence, and ...

Customer Success Manager, Scaled Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We ...

As a Customer Success Manager, you'll coordinate vendor relationships, execute tactical business ... to operational efficiency • Leverage internal AI tooling to drive efficiencies and expedite ...

Senior Customer Success Manager At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 ...

As a Customer Success Manager, you'll report into a Team Manager and analyze the causes of your customer's greatest pain points and work closely to mitigate them using UpGuard technology. You will ...

Ensure delivery aligns with customer security, compliance, and operational needs (e.g., FedRAMP ... Success, Program Management, or Federal Account Management Experience working with U.S. federal ...

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Showing results 1-20

Customer Success Operations Manager information

See Renton, WA salary details

$50.3K

$139.7K

$153K

How much do customer success operations manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for customer success operations manager in Renton, WA is $139,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,300.00 and $151,300.00 per year, depending on experience, location, and employer.

What is the difference between Customer Success Operations Manager vs Customer Success Specialist?

AspectCustomer Success Operations ManagerCustomer Success Specialist
CredentialsTypically requires experience in customer success, operations, or related fields; certifications like CSPO or CRM tools helpfulOften entry-level; customer success or communication certifications beneficial
Work EnvironmentFocuses on process optimization, data analysis, and cross-department collaborationEngages directly with customers, providing support and onboarding
Employer & Industry UsageUsed in SaaS, tech, and service industries to streamline customer success functionsCommon across various industries for customer support roles

The Customer Success Operations Manager primarily focuses on optimizing processes, managing data, and supporting the customer success team, while the Customer Success Specialist directly interacts with customers to ensure satisfaction. Both roles are essential but differ in scope and responsibilities.

What is a Customer Success Operations Manager?

A Customer Success Operations Manager is responsible for optimizing and supporting the processes, tools, and data used by customer success teams. Their main goal is to ensure that customer success managers can effectively help clients achieve their desired outcomes and drive customer retention. They analyze workflows, implement new systems, and monitor key metrics to improve team performance and the overall customer experience. This role often collaborates closely with sales, product, and support teams to align strategies and streamline operations.

What are the key skills and qualifications needed to thrive as a Customer Success Operations Manager, and why are they important?

A Customer Success Operations Manager needs expertise in data analysis, process optimization, and customer lifecycle management, often supported by a degree in business or a related field. Familiarity with CRM platforms (such as Salesforce), customer success tools (like Gainsight), and reporting systems is typically required. Strong communication, problem-solving, and cross-functional collaboration skills help them drive customer outcomes and support internal teams. These abilities are crucial for streamlining operations, enhancing customer satisfaction, and enabling scalable growth.

How does a Customer Success Operations Manager typically collaborate with Customer Success and other cross-functional teams?

A Customer Success Operations Manager frequently partners with Customer Success Managers, Sales, Product, and Data teams to streamline processes and improve the customer journey. They serve as a bridge by providing actionable insights through reporting, optimizing workflows, and ensuring consistent communication across teams. This role often leads initiatives such as onboarding improvements, health score tracking, and tool adoption, helping to align customer-facing strategies with broader business objectives. Effective collaboration is key to driving customer satisfaction and operational efficiency.
What are popular job titles related to Customer Success Operations Manager jobs in Renton, WA? For Customer Success Operations Manager jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Customer Success Operations Manager jobs in Renton, WA look for? The top searched job categories for Customer Success Operations Manager jobs in Renton, WA are:
What cities near Renton, WA are hiring for Customer Success Operations Manager jobs? Cities near Renton, WA with the most Customer Success Operations Manager job openings:
Infographic showing various Customer Success Operations Manager job openings in Renton, WA as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $139,683 per year, or $67.2 per hour.
Manager, Customer Success Engineering

Manager, Customer Success Engineering

DigitalOcean

Seattle, WA • On-site

Full-time

Posted 14 days ago


Job description

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world.
We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.
As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.
This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.
The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering "white-glove" experiences for strategic customers.
What You'll Do:
Team Leadership & Development
  • Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
  • Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
  • Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
  • Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
  • Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.

Strategic Customer Support
  • Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
  • Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
  • Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
  • Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations
  • Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
  • Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product - including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
  • Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content - treating documentation infrastructure as a core operational lever for team scalability.
  • Contribute to the vision for AI and automation within support-building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
  • Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.
Key Metrics:
  • Customer Satisfaction (CSAT) for strategic accounts
  • Time to Response and Resolution (TTR) for strategic customers
  • Tier 1 resolution rate vs. escalation rate
  • Time-to-escalation and engineering handoff SLA adherence
  • SLA adherence and escalation response times
  • Support productivity and quality (QA scores)
  • Post-incident documentation completion rate
What You'll Add to DigitalOcean:
  • Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
  • Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
  • Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
  • Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
  • Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
  • Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:
  • Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
  • Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.
  • ITIL or equivalent service management certification
Compensation Range:
  • $125,000 - $153,000

*This is a remote role
JR: 2026-7692
#LI-Remote
Why You'll Like Working for DigitalOcean
  • We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
  • We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
  • We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
  • We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
  • DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.