Requirements

4+ years building production software, applied AI systems or data products.
Experience building LLM-powered applications or agents used by real users.
Proven ability to improve AI systems post-launch using traces, user feedback, evaluations, or experiments.
Hands-on experience with AI system evaluation, including regression tests and grading output.
Strong skills in Python and SQL, including API and data model design.
Ability to rigorously measure impact and analyze metric changes attributed to your work.
Good product judgment with experience collaborating directly with sales representatives.
Heavy use of AI coding tools and expertise in obtaining reliable outcomes from them.

Nice to haves

Experience with GTM systems such as Salesforce, Gong, or Outreach.
Familiarity with data orchestration tools like dbt or Airflow.
Exposure to agent evaluation or observability tools.
Experience working in or building for sales, customer success, or revenue operations teams.

Build and deploy AI agents and large language model-powered tools to support Sales and Customer Success functions.
Own full-stack development including Python backends/APIs, Snowflake data models, feedback pipelines, and React frontends.
Instrument tools to trace agent actions, tool calls, failures, and edits for quality monitoring.
Collaborate with tool users to set quality standards; build evaluation sets and run regression tests and production monitoring.
Diagnose and fix performance issues through testing on past traffic replays before deployment.
Design guardrails and review workflows balancing autonomous agent actions with human oversight.
Measure tool adoption and business impact using experiments and staged rollouts.
Lead enablement efforts by creating playbooks, conducting sessions, and partnering with sales leadership to integrate tools into workflows.

Supportive benefits and resources to promote health, wellbeing, family care, time off, and financial future.
Hybrid working policy with at least three days per week in office for culture and collaboration.
Radically open and accepting culture fostering safety, cohesion, and focus on core company values.
Commitment to equal opportunity employment and workplace free from discrimination based on a wide range of protected characteristics.
Access to AI agents that accelerate employee impact and productivity.