Iterable

HQ
San Francisco
Total Offices: 3
640 Total Employees
Year Founded: 2013

Iterable Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers supplemental life insurance

Provides adoption assistance

Offers generous parental leave

Provides family medical leave

Provides fertility benefits

Offers company equity

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Provides free snacks and drinks

Offers legal assistance

Utilizes a flexible work schedule

Offers a remote work program

Offers diversity-based Employee Resource Groups

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Offers sabbatical leave

Provides military leave

Offers paid volunteer time

Provides paid sick days

Provides bereavement leave

Offers unpaid extended leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

Marketing Tech • Software • Analytics
Lead evaluation and automatic optimization for AI models and agents, including benchmarks, LLM judges, simulations, trajectory analysis, regression tests, synthetic data pipelines, and post-training systems. Diagnose failures and convert findings into improvements to prompts, context, tools, rubrics, and agent harnesses. Apply current LLM research to production, collaborate with retrieval and product teams, mentor engineers, and guide Nova’s technical direction.
2 Days AgoSaved
In-Office or Remote
7 Locations
Marketing Tech • Software • Analytics
Design and build production machine learning systems for personalization, recommendations, and campaign optimization. Own the full model lifecycle, including experimentation, feature engineering, distributed training, deployment, latency monitoring, and online testing. Build scalable data pipelines and model-serving architectures with Databricks, Spark, AWS, Ray, and Kubernetes. Partner with platform teams, mentor engineers, and guide technical direction for machine learning capabilities.
Marketing Tech • Software • Analytics
Lead development of Iterable Nova’s retrieval and search systems for AI agents. Build hybrid retrieval across structured and unstructured data, semantic query understanding, entity and embedding pipelines, multi-hop search subagents, and evaluation frameworks. Improve relevance and grounding through ranking metrics, LLM judges, human labeling, regression testing, and online experiments. Mentor engineers and guide technical direction while taking systems from research through reliable production deployment.