Product Operations Analyst at EvenUp

San Francisco, California, United States

Apply Now

$91,600 – $183,000Compensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

LegalTech, SaaSIndustries

Requirements

3-5 years total work experience
2+ years of consulting experience preferred
1-2 years of experience in BizOps, product analytics, or a similar role; preferably in a high-velocity early or mid-stage startup
Strong experience in user research, especially participant recruiting—has led efforts to source hard-to-reach profiles at scale and owned the full research workflow (study design, moderation, analysis, reporting)
Strong SQL and analytical skills; comfortable working with large datasets
Experience with internal tooling or automation using low/no-code platforms
Familiar with LLM tools, high ownership, and a long-term interest in growing into product roles

Responsibilities

Build and scale user research tools and processes so that the product development organization gathers more and better insight from target personas every week, including both qualitative and quantitative user research
Implement new AI tools (low and no-code) to mine a rich and ever-growing repository of customer calls to expose and track key themes, pain points, and feature requests for the product development organization
Own the product KPIs reporting process—partnering with PMs to define, measure, and surface what matters
Collaborate cross-functionally with Product, Design, Engineering, and Data Science to identify and execute high-leverage operational improvements

Skills

User Research

Qualitative Research

Quantitative Research

AI Tools

Low-Code Tools

No-Code Tools

Data Analysis

Product Analytics

KPI Reporting

Customer Insights

EvenUp

Legal services for personal injury cases

About EvenUp

EvenUp Law provides legal services focused on personal injury, trucking accidents, and medical malpractice. The firm operates in multiple states, including Texas, Pennsylvania, California, Indiana, and Georgia. Its business model is based on a contingency fee structure, meaning they only receive payment if they win a case, taking a percentage of the settlement or judgment. What sets EvenUp Law apart from its competitors is its detailed case preparation and the ability to analyze cases like an adjuster or defense attorney, which leads to higher settlement amounts and quicker resolutions for clients. The firm also maintains a database of similar injuries and their values, which helps in providing accurate damage estimates. The goal of EvenUp Law is to save clients time and stress while ensuring they receive fair compensation for their injuries.

San Francisco, CaliforniaHeadquarters

2019Year Founded

$214MTotal Funding

SERIES_DCompany Stage

LegalIndustries

201-500Employees

Risks

Increased competition from other legal tech startups could erode EvenUp's market share.

Reliance on a contingency fee model poses financial risks with unsuccessful cases.

Potential regulatory changes in AI use could impact EvenUp's operations.

Differentiation

EvenUp uses AI to automate legal document creation, reducing time and costs.

The company targets the $20 million insurance claim market with AI-driven solutions.

EvenUp's meticulous case preparation results in high settlement amounts and quick resolutions.

Upsides

Recent $135 million Series D funding shows strong investor confidence in EvenUp.

Launch of AI assistant Litty highlights growth in generative AI for legal automation.

Strategic board appointments could open new avenues for growth and partnerships.

Land your dream remote job 3x faster with AI

Try Jobo Free