TripleLift

HQ
New York
Total Offices: 2
335 Total Employees
Year Founded: 2012

TripleLift Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers accidental death & dismemberment insurance

Offers dental insurance

Offers vision insurance

Offers Health Savings Account (HSA)

Offers health insurance

Offers mental health benefits

Offers generous parental leave

Offers performance bonuses

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid sick days

Provides paid holidays

Offers sabbatical leave

Career Growth + Development

Provides customized development tracks

Company Culture

Offers a remote work program

Provides free snacks and drinks

Offers diversity-based Employee Resource Groups

Recently posted jobs

8 Days AgoSaved
In-Office
New York, NY, USA
AdTech
Partner with executives and leaders on workforce planning, organizational design, performance management, talent strategy, compensation, employee relations, change management, learning and development, HR analytics, and employment-law compliance. Coach managers, guide complex employee situations, support promotions and succession planning, and use people data to improve organizational effectiveness and employee experience.
8 Days AgoSaved
In-Office
London, Greater London, England, GBR
AdTech
Partners with executives and managers to align people strategies with business goals. Leads workforce planning, organizational design, performance and talent management, compensation planning, employee relations, change management, learning initiatives, HR analytics, and employment compliance. Coaches leaders, manages sensitive employee matters, identifies organizational risks, and uses data and AI tools to improve decision-making and employee experience.
11 Days AgoSaved
In-Office
Pune, Mahārāshtra, IND
AdTech
Build and optimize scalable data pipeline architecture supporting data and ML processes in production. Responsibilities include assembling complex datasets, developing ETL infrastructure with Spark, EMR, and Kafka, automating processes, improving scalability, and supporting data needs across engineering, product, BI, and data science teams. The role also involves data modeling, database technologies, and cross-functional technical collaboration.