EvenUp

Product Operations

• Design, test, and iterate AI prompts and rules that power case analysis and legal insights
• Build and maintain a library of standardized AI playbooks for common personal injury use cases, with flexibility for jurisdictional differences and client needs
• Evaluate AI-generated outputs for accuracy, clarity, and legal defensibility
• Partner with Data Science and Engineering to improve model performance using structured feedback and quality reviews
• Support customization requests for high-value clients, ensuring consistency and quality at scale
• Identify ambiguity, quality gaps, or legal risk in AI-generated content before it reaches customers
• Translate complex legal and medical concepts into clear guidance for non-legal teammates

Product Operations Associate, AI Playbooks, Case Intelligence

AI Engineer

• Partner with Product Managers to define:
• Data fields and entity definitions
• Required vs optional inputs
• Dependencies across features and workflows
• Own operational clarity for AI-powered features, including:
• Naming conventions and definitions
• Documentation and internal enablement
• Cross-team alignment on ownership and usage
• Pressure-test product and engineering designs for operational readiness and scalability
• Identify gaps in tooling, documentation, or process that slow teams down
• Act as a cross-functional connector between Product, Engineering, Data, and Operations
• Reduce ambiguity around how AI-driven workflows behave and who owns them

Product Operations Associate, AI Platforms – Workflows

Backend Engineer

• Actively engage in the full project lifecycle across the stack, with full ownership from conception to deployment and iteration.
• Collaborate closely with backend engineers, product owners & designers to develop efficient, innovative solutions.
• Collaborate with stakeholders to gather requirements and translate them into technical solutions.
• Conceptualize the design and development of interfaces and integration architecture.
• Document technical interface requirements and convert specifications into technical designs.
• Solve problems with extensive programming skills and abilities in multiple coding languages and frameworks.
• Optimizing application performance and responsiveness to ensure a smooth user experience.

Senior Backend Engineer, Cases Product Engineering

Senior Backend Engineer, Client Portal Engineering

Security Engineer

• Identify and address security risks through comprehensive assessments, mitigation strategies, and execution.
• Ensure secure coding and implement systems to protect against unauthorized access and data breaches.
• Develop and execute incident response plans, conduct forensic analysis, and take preventive measures.
• Maintain compliance with regulations and industry standards, promote transparency, and address ethical concerns.
• Establish real-time monitoring systems, conduct regular assessments, and proactively respond to threats.
• Evaluate and secure third-party integrations to prevent vulnerabilities.
• Educate and raise awareness for security best practices across the engineering team.
• Maintain up-to-date documentation on protocols, incidents, and improvements; report regularly to stakeholders.

Senior Security Engineer

Solutions Engineer

• Build and lead custom demonstrations of the EvenUp platform tailored to client needs, showcasing capabilities to instill confidence and remove technical objections.
• Conduct discovery sessions with potential clients to solicit business requirements and respond to RFPs effectively.
• Lead current state discovery for implementation projects, analyzing client processes, data structures, existing systems (e.g., CMS, reporting tools), and workflows to identify gaps and opportunities.
• Discover and define future state requirements, including process optimizations, technical accelerators (e.g., pre-built templates for legal workflows), data models, business logic rules, workflow configurations, and integrations to support client objectives.
• Drive the creation of Standard Operating Procedures (SOPs) and processes to ensure seamless adoption, including training materials, change management strategies, and process performance metrics.
• Define and own specific solution area “best practices” within our platform. Consult customers to adopt “best practices” to streamline and accelerate implementations.
• Configure platform components like rules engines, reporting dashboards, and automation scripts.
• Work with Data Migration/Technical Architects to incorporate technical flows into overall solution designs.
• Facilitate the activation of integrations, collaborating with internal service providers.
• Identify opportunities to leverage emerging technologies to enhance solutions.
• Document designs, configurations, and best practices for knowledge transfer and future projects.
• Contribute to team standards for architecture and implementation efficiency, including feedback to influence product roadmap based on client insights.

Solutions Architect

Data Engineer

• Partner with Solution Architects during post-sale discovery to assess customer source systems (e.g., CRM, Accounting, Processes, spreadsheets) and data readiness.
• Analyze legacy data structures, field mappings, data quality, and dependencies to identify risks, gaps, and remediation strategies.
• Define migration scope, sequencing, assumptions, and success criteria in collaboration with implementation leadership.
• Advise customers on data cleanup, normalization, and preparation activities prior to migration.
• Design detailed source-to-target data mappings aligned with EvenUp’s data models, workflows, and reporting requirements.
• Collaborate with the migration team to ensure migrations support future-state processes, automations, and analytics.
• Define transformation rules, validation logic, and exception handling for complex legal data sets.
• Build, execute, and manage data migrations using ETL tools, scripts, APIs, or database utilities.
• Perform trial migrations, incremental loads, and final cutover migrations in accordance with project timelines.
• Ensure data security, confidentiality, and compliance throughout the migration process.

Data Migration Specialist

Account Executive

• Own the full sales-cycle from lead to close to include outbound prospecting
• Conduct 30 cold calls a day with the goal of generating 3 self-sourced meetings a week.
• You'll spend 1-3 days per week meeting prospects in person, building relationships and demonstrating our product’s value
• Travel to events and conferences to meet key law firm decision-makers and close deals
• Consistently be in communication with other cross-functional members of our team

Account Executive I

Marketing

• Own the lifecycle marketing strategy to improve net revenue retention (NRR) across mid-market and enterprise accounts
• Design and execute expansion and upsell programs aligned to renewal cycles, account health, product usage, and firm maturity
• Drive adoption of new and existing products to unlock expansion and multi-product penetration
• Partner with Sales and Customer Success to generate and influence qualified expansion and upsell pipeline
• Build scalable, repeatable programs to support cross-sell, upsell, and add-on motions
• Align lifecycle campaigns to account-based and sales-assisted expansion strategies
• Define success metrics and attribution for expansion pipeline, influenced revenue, and closed-won upsells
• Develop advanced customer segmentation based on firm size, role, product usage, contract terms, renewal timing, and expansion propensity
• Deliver targeted, personalized messaging that clearly communicates incremental value and ROI of additional products
• Enable Sales and Customer Success with lifecycle insights, campaign context, and expansion-ready signals
• Partner with Product Marketing and Product Management to support new product launches, packaging, and expansion positioning to existing customers
• Work with RevOps to ensure clean data, lifecycle reporting, and expansion attribution
• Collaborate with Customer Success on renewal risk mitigation and expansion timing
• Own lifecycle KPIs including NRR, gross retention, expansion pipeline, upsell conversion, and product adoption
• Analyze cohort performance and expansion trends to inform strategy and prioritization
• Run experimentation and A/B testing to improve engagement, conversion, and revenue outcomes

Senior Customer Lifecycle Marketing Manager

People Operations

• Own end-to-end People Ops processes supporting hiring, onboarding, offboarding, transfers, and employee lifecycle initiatives.
• Maintain high-quality HR data across HRIS, payroll, benefits, and ATS systems to drive accurate reporting and informed workforce decisions.
• Manage a scalable and compliant immigration process for employees requiring visas or work authorization, partnering with external counsel and internal stakeholders.
• Oversee annual benefits enrollment and ongoing employee support, ensuring accurate coverage, clear communication, and a seamless experience for all employees.
• Design, maintain, and communicate company policies, including internal mobility, employee handbooks, and time-off programs, ensuring consistency and compliance.
• Implement workflows, tools, and automation to improve operational efficiency, transparency, and scalability.
• Ensure HR processes and programs comply with relevant laws across the US and Canada.
• Partner with People leaders to deliver smooth, positive experiences at all operational touchpoints, ensuring processes reflect company values and culture.

Director, People Operations

General Counsel

• Help shape and scale the legal foundation of EvenUp as it continues rapid growth
• Support partnerships and complex commercial deals as a true legal generalist across a range of strategic initiatives
• Collaborate closely with founders in a highly founder-led organization
• Play a key role in evolving the legal function alongside the company

Commercial Counsel

Machine Learning Engineer

• Lead, mentor, and grow a team of Machine Learning engineers and scientists
• Drive execution of ML initiatives across Document Generation, Voice Agents, and Knowledge Base systems
• Partner closely with Product and Engineering to define scope, priorities, and delivery plans
• Design, build, and deploy production-grade ML and GenAI systems using LLMs and modern ML tooling
• Establish and reinforce best practices for model development, evaluation, deployment, and iteration
• Balance short-term delivery with long-term technical quality and scalability

Senior Manager, Machine Learning

• Build, lead, and grow a high-performing Machine Learning team, starting from a small initial footprint
• Own and drive ML strategy and execution across Document Generation, Voice Agents, and Knowledge Base systems
• Partner closely with Product and Engineering to define roadmaps, priorities, and technical approaches
• Establish best practices for applied ML, LLM usage, and generative AI systems in production
• Deliver meaningful product impact quickly while laying a strong foundation for long-term scale

EvenUp

Product Operations Associate, AI Playbooks, Case Intelligence

Product Operations Associate, AI Platforms – Workflows

Senior Backend Engineer, Cases Product Engineering

Senior Backend Engineer, Client Portal Engineering

Senior Security Engineer

Solutions Architect

Data Migration Specialist

Account Executive I

Senior Customer Lifecycle Marketing Manager

Director, People Operations

Commercial Counsel

Senior Manager, Machine Learning

Director of Machine Learning

Director of Machine Learning

Senior Manager, Machine Learning