Cinder

HQ
Hillsboro
Total Offices: 3
26 Total Employees
Year Founded: 2021

Cinder Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers supplemental life insurance

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers performance bonuses

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides bereavement leave

Provides paid holidays

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Company Culture

Offers a remote work program

Recently posted jobs

5 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Software
Own customer implementations from solution design through deployment and adoption. Build proofs of concept, integrations, custom workflows, data pipelines, and production-quality code using APIs and webhooks. Lead technical workshops, document solutions, troubleshoot live customer systems, provide on-call support, and convert recurring customer needs into reusable product improvements. The role is embedded with major internet platforms and requires strong engineering skills, customer ownership, initiative, and comfort with ambiguity.
8 Days AgoSaved
In-Office
New York, NY, USA
Software
Build and own AI-focused demand generation at Cinder, including pipeline strategy, positioning, case studies, thought leadership, events, timely campaigns, attribution, lead scoring, and sales handoff. The role requires creating programs from zero, measuring marketing-sourced pipeline, and translating AI trust and safety concepts for generative AI buyers.
One Month AgoSaved
Hybrid
New York, NY, USA
Software
Build and ship production machine learning systems for content abuse detection, including data pipelines, classifiers, LLM evaluations, inference infrastructure, monitoring, and model evaluation. Optimize precision, recall, latency, cost, and throughput while partnering with engineering and data teams. Develop moderator intelligence features, build training and serving platforms, establish metrics infrastructure, and mentor teammates. The role requires end-to-end ownership in a startup environment, from messy data and feature engineering through deployment and production monitoring.