LottieFiles

HQ
San Francisco
Total Offices: 2
111 Total Employees
Year Founded: 2018

LottieFiles Benefits Overview

Compensation + Benefits

Offers company equity

Offers employee stock purchase plan

Provides family medical leave

Offers generous parental leave

Offers health insurance

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Recently posted jobs

7 Days AgoSaved
In-Office or Remote
San Francisco, California , USA
Design
Build and operate LottieFiles’ platform systems, including a Federation v2 GraphQL gateway, gRPC services, authentication integrations, and developer tooling. Improve developer experience through golden paths, schema workflows, code generation, documentation, and platform enablement. Enhance observability, scalability, security, resilience, latency, and reliability across distributed cloud systems. Collaborate with engineering, product, DevOps, and vendors, resolve incidents, and mentor teammates.
7 Days AgoSaved
In-Office or Remote
San Francisco, California , USA
Design
Own developer marketing for LottieFiles APIs, SDKs, AI-assisted motion tools, agent workflows, and open-source projects. Responsibilities include creating documentation, quickstarts, samples, positioning, launch content, and developer listings; improving first-run activation; partnering with Engineering on developer experience and documentation accuracy; measuring developer adoption; and encouraging internal use of developer tools. This is a senior individual contributor role focused on technical developer audiences rather than brand campaigns, paid acquisition, or enterprise sales.
7 Days AgoSaved
In-Office or Remote
San Francisco, California , USA
Design
Build and improve production generative AI systems that create editable motion from natural language. Responsibilities include model orchestration, structured generation, validation, compiler-backed quality gates, fine-tuning, post-training, synthetic data, evaluation, dataset governance, regression testing, and production reliability. The role requires hands-on ownership across LLM behavior, data pipelines, infrastructure, inference optimization, and product quality, with code generation, compilers, multimodal systems, or animation experience being valuable.