EvenUp

Product Designer

• Lead and support a team of 4+ product designers, investing in their growth, performance, and career development.
• Drive hiring for open roles on your team, partnering with recruiting and design leadership to scale our design practice.
• Collaborate cross-functionally with product, engineering, and data teams to define strategy, scope product opportunities, and ship high-quality solutions.
• Balance management responsibilities with hands-on design work—taking ownership of critical projects that contribute directly to business goals.
• Champion design excellence and foster a collaborative, feedback-rich design culture grounded in user-centered thinking and high standards of execution.

Senior Product Design Manager

AI Engineer

• Design, build, and maintain backend services powering EvenUp’s document generation platform.
• Own projects from technical design through production launch and ongoing iteration.
• Build scalable systems that leverage AI within document generation workflows.
• Partner closely with Product, Design, and Applied AI teams to deliver customer-facing features.
• Drive architectural decisions and contribute to the long-term evolution of the DocGen platform.
• Improve performance, reliability, and scalability of core backend services.
• Mentor teammates through technical discussions and thoughtful code reviews.

Software Engineer – AI Document Generation

Manager

• Open insurance claims and serve as the primary liaison with adjusters and carriers.
• Request, track, and organize medical records, bills, and police reports.
• Ensure treatment progression and awareness of treatment outcomes.
• Identify and proactively resolve lien and subrogation issues.
• Collaborate with lead paralegals to prepare complete, accurate case files for demand.
• Communicate with clients daily to guide them through the pre-litigation process.
• Maintain case timelines and ensure milestones are met with precision.
• Spot and eliminate operational inefficiencies to drive speed and accuracy.
• Uphold the highest standards in documentation, file integrity, and communication.

Personal Injury Pre-Litigation Case Manager, Spanish Fluent

Frontend Engineer

• Design and ship user-facing experiences for AI-powered communication agents across voice, SMS, and email.
• Own frontend technical decisions within your scope, from architecture and implementation through production and iteration.
• Partner closely with Product and Design to turn evolving customer needs into intuitive, scalable user experiences.
• Build fast, responsive, and reliable interfaces for real-time AI agent interactions.
• Collaborate closely with backend engineers to deliver seamless end-to-end experiences across our AI communication platform.

Senior Frontend Engineer, Growth & Agents

Backend Engineer

• Ship backend features and services across EvenUp's Growth pod - from multi-channel outreach agents to configurable communication workflows.
• Own technical decisions within your scope end-to-end, from design through production.
• Partner closely with Product and Design on ambiguous, evolving specs, especially around bespoke customer customization requests.
• Build for low-latency, high-performance needs as usage scales.
• Contribute across the team's email, SMS, and voice channel work.

Senior Backend Engineer, Growth & Agents

Machine Learning Engineer

• Set technical strategy for a broad area of the ML roadmap, translating ambiguous business and research goals into scoped, production-ready systems.
• Tackle the hardest modeling problems in the org - complex reasoning, long-context and multi-document understanding, or other frontier challenges as they come up.
• Apply advanced ML techniques - fine-tuning, reinforcement learning, retrieval, or others - and know when a technique is the right tool versus over-engineering.
• Establish rigorous evaluation standards, reducing hallucinations, improving factual consistency, and defining what 'good' looks like for a given system.
• Drive data excellence through hands-on analysis of training and evaluation data, managing noise, edge cases, and drift at scale.
• Provide technical leadership and mentorship across the ML team, raising the bar for experimentation, benchmarking, and engineering rigor.
• Act as the bridge between research and production - ensuring new techniques get integrated into shippable systems, not just proofs of concept.
• Partner cross-functionally with product, engineering, and legal subject-matter experts to set technical direction.
• Cost effectively scale practical machine learning systems in a hyper-growth environment, ensuring they remain grounded in real business and customer needs.

Staff Machine Learning Engineer

• Design, build, and own production ML systems across the full lifecycle - problem framing, data strategy, training, evaluation, deployment, and monitoring.
• Architect scalable data pipelines that handle structured, unstructured, and embeddings-based data for training and inference.
• Build reusable frameworks and infrastructure for model development, evaluation, and benchmarking.
• Partner with data scientists and product managers to translate ambiguous business problems into concrete ML system designs.
• Apply and productionize state-of-the-art techniques across NLP, information retrieval, and generative AI where the problem calls for it.
• Define and implement evaluation strategies - quality metrics, human-in-the-loop review, automated benchmarks - to ensure model reliability.
• Drive scalability and efficiency across ML workflows, from large-scale data processing to real-time inference.
• Work with ML platform engineers to integrate models and frameworks into production environments.
• Document system architectures and establish best practices that other engineers build on.
• Mentor other engineers and contribute technical judgment to hiring and calibration as the team grows.

Senior Machine Learning Engineer

Revenue Operations

• Partner closely with Customer Success leadership to build and scale operational processes that support onboarding, retention, renewals, and customer growth.
• Develop and maintain reporting, dashboards, and performance metrics that provide visibility into key customer success KPIs such as retention, expansion, customer health, and adoption.
• Lead cross-functional initiatives that improve the post-sales customer journey, collaborating with teams across Revenue Operations, Sales, Product, Finance, and Data.
• Own and optimize the Customer Success technology stack, ensuring strong data integrity and effective workflows across systems such as Salesforce, customer success platforms, and BI tools.
• Write and analyze SQL queries to extract, validate, and model data that drives business decisions and operational improvements.
• Drive initiatives forward with a founder mentality: take ownership, push projects to completion, proactively solve problems, and make decisions with minimal instruction.
• Identify opportunities to improve operational efficiency through automation, process improvements, and new tooling that enables the Customer Success organization to scale.

Staff Revenue Operations Manager, Customer Success

Personal Injury Pre-Litigation Case Manager, Spanish Speaker

Platform Engineer

• Lead the design, development, and optimization of robust frontend systems for deploying LLM-based algorithms and services.
• Manage projects through their complete lifecycle—from architecture to deployment, monitoring, and improvement.
• Work with other engineering teams to understand use cases and deliver scalable platform solutions.
• Develop high-quality, maintainable code using a modern tech stack.
• Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects.

Senior Frontend Engineer – Platform

Customer Success Manager

• Manage, coach, and develop a team of 2–3 SMB Customer Success Managers.
• Build a performance culture grounded in clear metrics, regular feedback, and accountability.
• Hire and onboard future team members as the SMB segment grows.
• Design and operationalize a digital-first CS motion that drives adoption, retention, and expansion across a high-volume SMB customer base.
• Build and optimize automated lifecycle programs — onboarding sequences, health-based triggers, renewal campaigns, and re-engagement workflows — using tools like Salesforce, HubSpot, or equivalent.
• Develop and maintain a library of digital touchpoints including in-app messaging, email nurture sequences, self-serve onboarding resources, and video content.
• Identify where human intervention adds the most value and design the motion accordingly, protecting CSM time for the highest-impact moments.
• Own GRR and NRR targets for the SMB segment.
• Monitor customer health signals and ensure the team is proactively addressing risk before it becomes churn.
• Partner with Account Managers to identify expansion and upsell opportunities within the SMB base.
• Establish and track leading indicators that predict renewal outcomes 60–90 days in advance.
• Build and maintain dashboards that give CS leadership real-time visibility into team performance, customer health, and segment-level risk.
• Define and track the KPIs the team is measured against, including adoption milestones, health scores, renewal rates, and response SLAs.
• Partner with CS Ops, Product, Support, and Marketing to continuously improve the digital customer experience.

Manager, SMB Customer Success

Strategy & Operations Manager, Revenue Operations

User Researcher

• Build and scale the foundational infrastructure for our research practice. This includes managing participant sourcing, as well as evaluating and implementing modern research tools (including AI solutions and testing platforms).
• Design and conduct rigorous qualitative and quantitative research. Analyze user engagement by product area, run complex sentiment analyses, and execute surveys, focus groups, and targeted 1:1 user interviews.
• Lead early-stage exploratory research to evaluate product concepts. Partner with leadership across Design, Product, and Eng to influence direction from the very beginning, ensuring research drives decisions rather than trying to wrangle alignment after the fact.
• Synthesize complex data into memorable, creative artifacts that extend beyond traditional written reports, such as infographics, highlight videos, and dynamic presentations. Connect user pain points and feature requests directly to ARR opportunities, ensuring research always drives business value.
• Proactively identify research needs based on quantitative engagement data. Draft proposals, conduct targeted outreach (e.g., Slack pings to heavy/non-users), and develop actionable recommendations and training strategies to drive product adoption.

Senior Product Design Manager

Software Engineer – AI Document Generation

Personal Injury Pre-Litigation Case Manager, Spanish Fluent

Personal Injury Pre-Litigation Case Manager, Spanish Fluent

Personal Injury Pre-Litigation Case Manager, Spanish Fluent

Senior Frontend Engineer, Growth & Agents

Senior Backend Engineer, Growth & Agents

Staff Machine Learning Engineer

Senior Machine Learning Engineer

Staff Revenue Operations Manager, Customer Success

Personal Injury Pre-Litigation Case Manager, Spanish Speaker

Senior Frontend Engineer – Platform

Manager, SMB Customer Success

Strategy & Operations Manager, Revenue Operations

Senior/Staff User Experience Researcher