Technical Account Manager

In this role, you will serve as a strategic technical advisor, helping enterprise customers successfully adopt and scale complex software solutions. You will partner closely with customer teams, internal specialists, and engineering groups to drive measurable outcomes while ensuring reliable platform usage.

• Act as a trusted advisor for strategic enterprise customers throughout their technology adoption journey, from onboarding to long-term success.


• Develop and execute tailored technical adoption plans aligned with customer goals and business outcomes.


• Provide hands-on guidance, architectural recommendations, and best practices to technical and business stakeholders.


• Analyze and advise on modern technology architectures involving AI-enabled automation, LLM-powered workflows, intelligent agents, retrieval systems, and secure infrastructure patterns.


• Help customers identify opportunities where AI tools, copilots, and automated workflows can improve business processes.


• Conduct platform health checks, identify potential risks, support escalation management, and advocate for customer needs internally.


• Collaborate with cross-functional teams including customer success, consulting, support, product, engineering, and sales to improve customer outcomes.


• Participate in strategic customer meetings and occasional on-site engagements to strengthen partnerships and accelerate initiatives.

Requirements:

The ideal candidate combines strong technical expertise with customer-facing experience and the ability to translate complex concepts into practical solutions. You should be comfortable working with enterprise environments, distributed systems, and emerging AI technologies.

• 3+ years of experience as a Technical Account Manager, Solution Architect, Customer Engineer, or similar customer-facing technical role.


• Strong experience designing and deploying large-scale distributed systems for mission-critical applications.


• Hands-on knowledge of cloud platforms such as AWS, Azure, GCP, or OpenShift.


• Experience with Kubernetes at a CKAD or CKA level.


• Programming experience in at least one high-level language such as Java, C#, or Python, including relevant enterprise frameworks.


• Familiarity with APIs, event-driven architectures, microservices, identity and access management, security practices, and observability tools.


• Exposure to AI technologies including LLMs, RAG architectures, vector databases, AI agents, prompt workflows, or generative AI application frameworks.


• Understanding of AI infrastructure considerations such as model hosting, governance, security, reliability, latency, and cost management.


• Strong strategic thinking, problem-solving abilities, and the capacity to adapt solutions to unique customer requirements.


• Excellent communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences.


• Proven ability to build trusted relationships with stakeholders at different organizational levels.


• Willingness to occasionally travel for customer engagements when required.

Preferred qualifications include:

• Experience with enterprise automation, business process management, workflow orchestration, or robotic process automation.


• Experience integrating AI capabilities into enterprise applications or workflows.


• Familiarity with agent-based systems, agent coordination patterns, or orchestration frameworks.


• Relevant certifications such as CKAD, CKA, AWS Certified Solutions Architect, or Azure Solutions Architect Expert.


• Familiarity with enterprise process automation platforms.

Benefits:

• Competitive compensation package based on location, skills, and experience.


• Equity opportunities through a virtual stock option plan where applicable.


• Fully remote work environment with flexibility to work from anywhere.


• Home office budget and support for coworking spaces.


• Flexible time off policies to support work-life balance.


• Access to healthcare benefits and global mental wellbeing resources.


• Lifestyle spending benefits designed to support personal wellbeing and development.


• Retirement and pension plans where applicable, along with life and disability insurance.


• Annual learning budget for courses, certifications, books, and professional growth opportunities.


• Opportunities to collaborate globally and participate in team gatherings and company events.