AbsenceSoft

HQ
Denver
145 Total Employees
Year Founded: 2013

AbsenceSoft Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers disability insurance

Offers charitable contribution matching

Offers dental insurance

Offers vision insurance

Offers Health Savings Account (HSA)

Offers health insurance

Offers mental health benefits

Provides family medical leave

Offers generous parental leave

Offers performance bonuses

Career Growth + Development

Provides customized development tracks

Job training & conferences

Provides tuition assistance

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Company Culture

Offers a remote work program

Recently posted jobs

3 Hours AgoSaved
Remote
United States
HR Tech • Software
Leads strategy, roadmap, and business outcomes for AbsenceSoft’s compliance engine and enterprise platform. Oversees product managers and domain experts, expands regulatory coverage, guides platform capabilities such as identity, configuration, integrations, and data, and partners with Engineering, Legal, Sales, and executives. The role requires enterprise B2B SaaS product leadership, AI governance in accuracy-critical domains, measurable commercial results, and experience scaling complex compliance and platform products.
2 Days AgoSaved
Remote
United States
HR Tech • Software
Leads annual budgeting, quarterly forecasting, long-range planning, financial modeling, and variance analysis. Partners with executives, the CFO, Sales, Marketing, and department leaders to provide insights for strategic decisions. Manages and develops the FP&A team, improves reporting processes and automation, supports accounting close activities, and evaluates business scenarios, investments, and partnerships in a SaaS environment.
4 Days AgoSaved
Remote
United States
HR Tech • Software
Design, develop, deploy, and optimize AI and machine learning solutions for an employee leave management platform. Responsibilities include building scalable models, applying NLP and predictive modeling, implementing MLOps practices, developing secure data pipelines, collaborating with product and engineering teams, and ensuring ethical AI through fairness, transparency, and bias detection.