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EvenUp

Product Operations Associate

Reposted 8 Days Ago
Remote
Hiring Remotely in US
100K-188K Annually
Mid level
Remote
Hiring Remotely in US
100K-188K Annually
Mid level
The Product Operations Associate will support the development of AI-driven products by ensuring accuracy, documentation, and effective workflows, while collaborating with various teams.
The summary above was generated by AI

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

We’re hiring a Product Operations Associate* to help operationalize and scale our AI-powered products. This role sits at the intersection of Product Management, Engineering, Data Science, and Operations, ensuring that AI-driven features are accurate, understandable, and reliable for customers.

You’ll work on complex, cross-functional problems where legal judgment, data quality, and system design intersect. This role is ideal for someone who enjoys ambiguity, cares deeply about quality, and wants to help build products that operate effectively at scale.

*Seniority and title will be determined based on the individual’s experience, skills, and impact.

What You’ll Do

  • Partner closely with Product Managers, Engineers, and Data Science teams to support the development and launch of AI-powered features

  • Design, test, and refine the logic, prompts, and workflows that drive AI-generated insights

  • Evaluate AI outputs for accuracy, clarity, and consistency; identify gaps and recommend improvements

  • Help define clear inputs, outputs, and dependencies across AI-driven workflows

  • Create and maintain documentation, playbooks, and internal guidance to support consistent execution

  • Identify operational risks, quality issues, or ambiguity early and work cross-functionally to resolve them

  • Act as a cross-functional connector, translating between technical, legal, and operational perspectives

  • Support client-facing teams by enabling scalable customization and troubleshooting complex issues when needed

What Success Looks Like

  • AI-powered features get more accurate and more powerful, thanks to your direct contributions to prompts and configuration

  • Internal teams trust how AI systems behave and how outputs are explained

  • Reduced escalations related to unclear logic, ownership, or quality issues

  • Strong partnerships with Product, Engineering, and Data teams

What We’re Looking For

  • 4+ years of experience in Product Operations, Business Operations, Legal Operations, Program Management, or a related role

  • Strong analytical and systems-thinking skills

  • Exceptional attention to detail and sound judgment

  • Clear, concise written and verbal communication

  • Comfort operating in ambiguous, fast-moving environments

  • A bias toward building scalable, repeatable solutions rather than one-off fixes

Experience That May Be a Strong Fit

  • Experience in personal injury law, litigation support, or case management

  • Experience supporting complex, data-heavy, or AI-powered products

  • Experience translating domain expertise into product requirements or workflows

  • Experience defining or validating structured data from unstructured inputs

(You do not need experience in all of the above to be successful in this role.)

Nice to Have

  • Experience working with AI, machine learning, or automation tools

  • Experience in Legal Tech, FinTech, or other regulated domains

  • Familiarity with workflow tools, data schemas, or platform products

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, [email protected] or no‑[email protected] email addresses.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at [email protected]. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

  • Choice of medical, dental, and vision insurance plans for you and your family

  • Additional insurance coverage options for life, accident, or critical illness

  • Flexible paid time off, sick leave, short-term and long-term disability

  • 10 US observed holidays, and Canadian statutory holidays by province

  • A home office stipend

  • 401(k) for US-based employees and RRSP for Canada-based employees

  • Paid parental leave

  • A local in-person meet-up program

  • Hubs in San Francisco and Toronto

Please note the above benefits & perks are for full-time employees

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

AI
Machine Learning
Workflow Tools

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