Quantitative Deployment Strategist
Retell AIConversational AI company
Redwood City, United States$170K - $260KSenior
Y Combinator
Alt Capital
Carya Venture
Rajat Suri
Aaron Levie
Siqi Chen
Data & AI
About the role
TL;DR
Lead AI deployments for customers, optimizing business processes and ensuring successful technical delivery.
- •This role is for operators who thrive at the intersection of technology, product, and execution.
- •You will lead implementations from initial discovery through production launch, helping customers redesign business processes around AI while ensuring successful technical delivery.
- •Key Responsibilities Analyze customer workflows, call data, transcripts, and operational performance using statistical analysis, quantitative modeling, and mathematical techniques to identify trends, root causes, performance patterns, and high-impact automation opportunities.
- •Define and track key success metrics, including conversion, resolution, containment, transfer, customer satisfaction, cost per call, and overall business impact, by developing quantitative measurement frameworks to evaluate AI system performance and operational effectiveness.
- •Build dashboards, performance reports, ROI models, and executive-level quantitative analyses to measure deployment results, evaluate operational efficiency, forecast business outcomes, and support data-driven customer decision-making.
- •Design experiments and conduct funnel, cohort, segmentation, and root-cause analyses using statistical methodologies to evaluate conversational AI performance, optimize prompts, conversation flows, integrations, and operational processes, and measure the statistical significance of performance improvements.
- •Translate analytical findings into actionable recommendations for customers, Product, and Engineering while developing scalable benchmarks, quantitative measurement frameworks, and deployment best practices to optimize AI system performance and business outcomes.
- •Requirements Strong analytical and quantitative modeling skills.
- •Experience with statistical analysis and data visualization tools.
- •Excellent communication and interpersonal skills.
- •Ability to work collaboratively with cross-functional teams.
- •Proven track record of driving measurable business outcomes.
Required skills
PythonPandasSQLA/B Testing
Nice-to-have skills
TableauPower BILookerDatabricksFivetranDagsterPrefectApache KafkaApache FlinkCustomer Success
Domain expertise
ai
Benefits & perks
100% coverage for medical, dental, and vision insurance, DoorDash credit for unlimited meals, Wellness reimbursement, Commuter reimbursement, Phone bill reimbursement, Internet reimbursement
Tech stack
PythonPandasNumPySQLTableauPower BILookerSnowflakeDatabricksFivetranDagsterPrefectApache KafkaApache FlinkPostgreSQLMySQLMongoDBRedisElasticsearchDynamoDBCassandraSQLiteOracleSQL ServerNeo4jCockroachDBTimescaleDBInfluxDBSupabaseFirebase
