Sr. Sales Engineer (Forward Deployed Engineer - Pre Sales)

This role combines deep technical expertise with strategic enterprise sales, helping organizations successfully deploy and scale AI and agent-based systems. You will own the technical side of complex sales cycles, from discovery and solution design through proofs of value, demonstrations, and technical close. Working closely with Account Executives, you will shape technical strategies for high-value enterprise accounts and build trusted relationships with technical and executive stakeholders. You will engage directly with modern data and AI architectures, including agent platforms, data pipelines, observability, and instrumentation. The role offers significant autonomy within a lean, high-impact team and the opportunity to influence how emerging AI infrastructure is adopted in production environments.

• Hands-on experience deploying enterprise AI or agent-based systems, or working closely with teams responsible for taking agents from experimentation into production.
• Strong understanding of AI observability concepts, including traces, spans, evaluations, and instrumentation; experience with OpenTelemetry is highly valued.
• 3+ years of experience in pre-sales, solutions engineering, or strategic technical account management within B2B AI-focused or SaaS organizations, with meaningful enterprise experience.
• Experience navigating enterprise procurement processes, information security reviews, and complex multi-stakeholder buying committees.
• Professional background in data, observability, agent trust, or agent-focused products, with direct experience working within one or more of these domains.
• Ability to combine technical depth with business acumen, including the ability to whiteboard AI or agent architectures and communicate ROI and competitive positioning to senior executives.
• Strong communication skills across technical and executive audiences, from platform engineers to senior data and AI leaders.
• Self-directed and accountable, with the ability to prioritize independently, manage high-value accounts, recognize when to escalate, and challenge assumptions when necessary.
• Experience with modern data technologies such as Snowflake, Databricks, dbt, Airflow, BigQuery, or similar platforms is preferred.
• Experience with data observability or data quality, enterprise account expansion, MEDDPICC or similar sales frameworks, multi-country enterprise sales, or hands-on prototyping during sales cycles is a plus.