At a Glance
- Tasks: Advise customers on technical strategies and ensure their success with Confluent products.
- Company: Join IBM, a leader in technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on continuous learning.
- Why this job: Be a trusted advisor and make a real impact on customer success.
- Qualifications: Technical background in AppDev or SysAdmin and strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
Confluent is searching for a Customer Success Technical Architect (CSTA) to act as a trusted technical advisor and advocate, working with our customers to ensure their success, retention, and expansion. The primary objective of this role is to provide technical guidance—including best practices—for the Confluent product suite, partnering with Customer Solutions and cross‑functional teams such as Sales, Product Management, and Engineering to accelerate time to value, maximise product consumption, and achieve business objectives.
Responsibilities
- The CSTA role is both deeply technical and commercial in nature. You will leverage a technical background (AppDev, SysAdmin, Distributed Computing) to advise customers on their architectures, including patterns and strategies for operating and maturing their Confluent subscription, while also utilising relationship management skills and industry experience to guide them toward business goals and value‑based outcomes.
- Champion and advocate for the customer within Confluent, coordinating across Sales, Product, Services, Support, and Training to drive technical success.
- Identify technical objections and develop strategies to address adoption blockers.
- Support customers through technical lifecycle activities such as architecture planning, cluster and security design, monitoring and automation; review and provide guidance on upgrade or migration plans, platform and application hardening ideas, and high‑availability design.
- Guide customers up the data streaming maturity curve with recommendations on advanced topics (data mesh, stream processing, utilisation optimisation, performance tuning).
- Develop and present periodic customer reviews, including analysis of technical health and operational performance, to Confluent senior management.
- Document and transfer knowledge to customers and internal teams, enhancing customer self‑service and supporting Technical Support Engineers and Professional Services.
- Leverage knowledge of customer environments to influence the Confluent product roadmap.
- When necessary, dig in to address customer issues alongside Technical Support Engineers and Core Engineering.
Required Education
- Bachelor's Degree
Required Technical and Professional Expertise
- Demonstrated success in a technical field role for a product/SaaS company with enterprise customers.
- Passion for working on complex technical problems, with a strong understanding of modern infrastructure and streaming technologies; self‑starter who thrives in a fast‑paced environment.
- Excellent interpersonal and communication skills, with the ability to concisely explain tricky issues and complex solutions to a variety of personas.
- Demonstrated ability to manage multiple customers simultaneously while paying strict attention to detail and delivering results across initiatives such as driving expansion, customer satisfaction, feature adoption, and retention.
- Hands‑on knowledge of one or more key cloud vendors (AWS, GCP, Azure) and a solid understanding of cloud networking and security technologies (VPC, Private Link, Private Service Connect, TLS/SSL, SASL).
- Experience prototyping and analysing code in multiple languages (Java, Python, Go, etc.).
- Experience with JVM tuning and troubleshooting.
- Experience operating Linux; proficient in configuring, tuning, and troubleshooting both RedHat and Debian‑based distributions.
- Ability to learn new technologies quickly, coupled with a strong interest in continuous learning.
- Flexibility to travel up to 20% of the time.
Preferred Technical and Professional Experience
- Experience with Apache Kafka and Apache Flink.
- Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc.
For additional information about location requirements, please discuss with the recruiter following submission of your application. Some travel may be required based on business demand.
Equal Opportunity Employer
IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.