Altruist

HQ
Culver City
Total Offices: 2
250 Total Employees
Year Founded: 2018

Altruist Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers disability insurance

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Company Culture

Office is pet friendly

Provides free snacks and drinks

Offers a remote work program

Recently posted jobs

16 Hours AgoSaved
In-Office or Remote
Only, MO, USA
Fintech • Professional Services • Software
Sell Altruist’s AI wealth-management platform to financial advisors through consultative selling. Responsibilities include meeting quotas, educating prospects, guiding buying decisions, capturing advisor feedback, maintaining accurate Salesforce records, meeting sales service-level agreements, and improving team effectiveness. The role requires B2B financial services, fintech, or SaaS sales experience, securities licenses, strong communication, technical aptitude, and the ability to understand and explain complex products.
2 Days AgoSaved
In-Office
San Francisco, CA, USA
Fintech • Professional Services • Software
Design and build scalable financial data pipelines, data-serving platforms, and AI-enabling frameworks. Ensure data integrity and quality across sources, optimize query performance, troubleshoot data issues, and promote AI-assisted software development. The role requires expertise in Python or Java, databases, warehouses, ETL, batch processing, cloud infrastructure, and Kubernetes, with preferred experience in Snowflake, Airflow, and dbt.
2 Days AgoSaved
In-Office
San Francisco, CA, USA
Fintech • Professional Services • Software
Lead the technical direction and hands-on development of scalable data pipelines, data-serving platforms, and AI infrastructure. Design systems for financial data ingestion, transformation, and consumption; improve performance, reliability, security, observability, and cost efficiency. Lead cross-team initiatives, establish engineering standards, resolve complex production issues, mentor engineers, and guide the adoption of AI-assisted development and governed AI applications.