What you will do

Design and implement customer-specific solutions leveraging BigPanda's event ingestion, enrichment, correlation, and incident-sharing capabilities.
Architect integrations between BigPanda and customer environments, including observability platforms, cloud services, ITSM tools, collaboration systems, and custom applications.
Lead technical discovery sessions to understand customer environments, operational challenges, and business objectives.
Deliver technical demonstrations, workshops, and proof-of-concepts that showcase the value of BigPanda's platform.
Act as a trusted advisor to customers, helping them adopt best practices and identify new use cases that drive operational efficiency and business value.
Collaborate closely with Customer Success and Professional Services teams to ensure smooth transitions from proof-of-concept to production deployment.
Present technical and business value propositions to both technical and executive stakeholders, including SRE, NOC, IT Operations, and executive leadership teams.
Gather customer feedback and market insights, partnering with Product and Engineering teams to influence roadmap priorities and product improvements.
Support customers in troubleshooting integration, deployment, and adoption challenges.
Develop and maintain technical documentation, integration guides, and solution architectures.

What skills and experience you’ll bring to BigPanda

4+ years of experience as a Solutions Engineer, Sales Engineer, Technical Consultant, Software Engineer, or similar customer-facing technical role.
Experience working with enterprise SaaS platforms, preferably in AIOps, observability, monitoring, ITSM, ITOM, or incident management domains.
Strong hands-on experience with AWS cloud platform.
Experience designing and implementing integrations using REST APIs, webhooks, and modern integration patterns.
Proficiency in JavaScript and TypeScript, with the ability to build prototypes, integrations, and automation workflows.
Strong understanding of enterprise IT Operations, observability ecosystems, incident management processes, and operational workflows.
Ability to translate complex technical concepts into clear business value for both technical and non-technical audiences.
Excellent presentation, communication, and stakeholder management skills.
Proven ability to lead customer-facing technical discussions and influence decision-making across multiple organizational levels.
Consultative mindset with strong discovery skills, able to identify customer needs and propose tailored solutions.
Experience collaborating cross-functionally with Sales, Product, Engineering, Customer Success, and Professional Services teams.

Experience with observability and monitoring platforms such as Datadog, Dynatrace, New Relic, Splunk, AppDynamics, or similar solutions.
Familiarity with ITSM and incident management platforms such as ServiceNow, Jira Service Management, PagerDuty, OpenText, or similar tools.
Understanding of CI/CD pipelines, change management processes, CMDBs, and service mapping concepts.
Experience working with large enterprise customers in highly regulated or complex operational environments.
Knowledge of AIOps concepts, event correlation, noise reduction, and automated incident response.