Plume Design, Inc

HQ
Palo Alto
Total Offices: 6
611 Total Employees
Year Founded: 2015

Plume Design, Inc Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers company equity

Offers employee discounts

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Provides fertility benefits

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Provides a mobile phone discount

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers generous PTO

Provides paid sick days

Provides paid holidays

Career Growth + Development

Provides customized development tracks

Provides tuition assistance

2 Days AgoSaved
Remote
United States
Big Data • Internet of Things • Machine Learning
Own strategic ISP customer accounts across onboarding, adoption, value realization, retention, renewals, and expansion. Serve as an executive trusted advisor, lead business reviews, mitigate churn, and partner with Sales, Product, Marketing, and Engineering. Help scale Plume’s Customer Success function through improved playbooks, tooling, engagement models, customer advocacy, and standardized methodologies.
3 Days AgoSaved
In-Office or Remote
19 Locations
Big Data • Internet of Things • Machine Learning
Provides technical post-sales support for APAC enterprise and service-provider customers. Manages accounts and projects, triages and troubleshoots platform issues, coordinates cross-functional and vendor teams, supports API users, defines feature requirements, leads testing and implementation, and communicates product improvement recommendations. Serves as the subject matter expert for Plume’s cloud platform, networking technologies, gateway devices, APIs, and firmware integrations.
3 Days AgoSaved
Remote
27 Locations
Big Data • Internet of Things • Machine Learning
Lead and develop machine learning, LLM, and automation projects using large-scale network and device telemetry. Clean and transform data, engineer features, build models for anomaly detection, forecasting, and optimization, and deliver reproducible analyses with Python and SQL. Collaborate with engineering and product teams to deploy, integrate, and monitor models in production while contributing to MLOps workflows.