About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. What You'll Do: - Build and Scale the Support Engineering Team: Hire, develop, and manage a team of Technical Support Engineers. Build the onboarding program that gets new engineers productive. Create career paths for technical ICs who want to grow without leaving support. Establish a team culture rooted in technical rigor, AI fluency, and customer empathy. - Set the Escalation Quality Standard: Define what a complete, engineering-ready escalation looks like: issue summary, trace logs, verified reproduction steps, document context, and business impact assessment. Close the gap between your best escalations and your average. Make escalation quality a measurable, coached discipline. This is the single most important operational problem to solve in your first 90 days. - Investigate AI Output Quality: A large portion of your team’s work involves investigating why the AI produced a specific output. You’ll build the frameworks and tooling workflows that enable your team to use AI observability platforms to trace model inputs, outputs, and reasoning. You’ll train your team to distinguish between retrieval failures, data ingestion problems, prompt issues, and expected model behavior, then communicate those findings clearly to attorneys who don’t care about your stack. - Build AI-Native Support Operations: Lead the rollout of AI agents for first-touch triage and self-service resolution. Optimize the knowledge base for AI consumption. Define what AI-native support looks like in legal tech, where AI handles routine diagnostic work and your team focuses on complex investigations. - Own the Engineering Relationship: Make engineering trust your team’s triage quality. Your escalations should be so complete that engineers can start working immediately without asking follow-up questions. Ensure all customer-reported issues route through support first, and that support is the fastest, most reliable path to resolution. Build direct relationships with engineering leads. - Build the Measurement System: Establish SLAs, first response time, resolution time, escalation quality scoring, ticket deflection rate, customer satisfaction, incident management, and on-call rotation. Present ticket trends, failure mode patterns, and capacity data to leadership. Your reporting tells leadership what’s actually happening in the product. What We're Looking For: - Technical Support Leadership: You’ve built or significantly scaled a technical support team at a SaaS company. You know how to hire, onboard, coach, and develop support engineers. You’ve managed team performance through metrics. - AI Product Fluency: You understand how AI-powered products work well enough to lead a team investigating AI output quality. You can distinguish between a retrieval failure, a prompt issue, and a data ingestion problem. You don’t need to be an ML engineer, but you need to credibly lead people who debug AI behavior daily. - Escalation Quality Obsession: You’ve personally set the standard for how support communicates with engineering. You know what a complete bug report looks like, and you’ve built systems to ensure your team consistently delivers that standard. - Builder Who Still Debugs: You’ve built support infrastructure before: SOPs, runbooks, knowledge bases, onboarding programs, quality frameworks, AI agent workflows. You also stay close to the technical work. You jump into issues, explore logs, and conduct hands-on testing when needed. - Operational Rigor: You think in systems. SLAs, capacity models, ticket categorization, deflection strategy, CSAT measurement. You build the operating model and hold the team accountable. - Cross-Functional Credibility: Engineering needs to trust that your team’s escalations are complete and accurate. Product needs to trust that your ticket data reflects real patterns. You build that trust by consistently delivering quality. - Customer Empathy: Your customers are plaintiff attorneys, paralegals, and legal operations professionals. They are not developers. They need clear, jargon-free communication and fast resolution. You build a team that communicates at their level. Preferred Qualifications: - 5+ years leading or managing technical support teams at a SaaS company, with experience scaling a team from early stage to operational maturity - Experience supporting AI-powered or ML-driven products, with exposure to LLM observability, evaluation platforms, or AI quality assurance workflows - Track record of building support infrastructure from scratch: SOPs, escalation frameworks, quality scoring, knowledge bases, onboarding programs - Experience deploying AI agents or automation to improve support efficiency and ticket deflection - Familiarity with support tooling ecosystems (ticketing platforms, knowledge management, AI observability tools, bug tracking systems) - Comfort with data analysis: SQL for querying logs, building dashboards, and identifying trends in ticket data - Experience managing the support-engineering relationship, including establishing escalation protocols and quality standards - Understanding of cloud storage integrations (SharePoint, OneDrive, Dropbox) and common failure modes in document-heavy SaaS products - History of developing individual contributors into senior technical roles with clear career progression frameworks - Experience building and maintaining team standards in a fully remote environment Benefits 💰 Competitive Salary & Equity 💹 401(k) Program with Employer Matching ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚗 Commuter Benefits* 🧑‍💻 Autonomous Work Environment 🖥️ Workplace Setup Reimbursement 🏠 Telecomm Stipend 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings 🥪 In office Perks* *In office employees only Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Provide technical guidance towards the development and improvement across data processing, APIs, attribution modeling, privacy, billing and other third party integrations • Build a high performing engineering organization and foster a culture of excellence and continuous improvement • Partner and negotiate across engineering, product, legal, privacy and sales teams on strategy and execution

• Leads one or more teams, developing operational plans to align with functional strategies and objectives. • Responsible for recruitment, mentoring, and performance evaluations of team members • Defines project objectives, scope, and deliverables. • Create and manage project schedules and budgets. • Coordinate with cross-functional teams, including product managers and quality assurance. • Monitor project progress, identify risks, and implement mitigation strategies. • Ensure adherence to company standards, policies, coding standards, best practices, and quality assurance processes. • Foster a culture of collaboration and innovation within the development team.

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Carrot Ads is Instacart's publisher advertising platform — powering ad serving, monetization, and measurement for enterprise retail partners. It's one of Instacart's most strategically important and fastest-growing businesses, and we're at an inflection point: moving from early externalization to a platform that meets the expectations of the world's most sophisticated retailers. To get there, we've formed a dedicated Carrot Ads engineering team, purpose-built to own that maturation end to end — working closely with product, enterprise solutions, and horizontal engineering teams across Serving, Measurement, Ads Quality, and Ads Manager. We are seeking a Senior Engineering Manager to lead this team of 10+ engineers. You'll drive platform stability and reliability, own partner onboarding and escalations, and lead forward-looking product development — evaluating the technical capabilities of competing platforms, identifying what to build next, and prototyping new capabilities. In close partnership with Product, Sales, and enterprise partners, you'll shape what Carrot Ads becomes and channel longer-term investments into the broader Ads engineering roadmap. About the Job - Lead, coach, and grow a team of 10–12 software engineers; set clear goals, develop talent, and foster a culture of ownership, accountability, and continuous improvement. - Own platform reliability and scalability end-to-end; define and meet SLAs/SLOs, improve observability, reduce incident frequency and time-to-recovery, and raise the overall bar for quality. - Oversee enterprise partner integrations and launch readiness; drive efficient onboarding, manage technical escalations, and ensure smooth operations across multiple high-stakes stakeholders. - Shape strategy and roadmap by synthesizing customer feedback, market and competitive insights, and internal priorities; translate long-term bets into executable plans across Serving, Measurement, Quality, and Ads Manager teams. - Elevate engineering excellence with robust testing, CI/CD, performance optimization, and data-driven decision-making; deliver measurable business impact on a predictable cadence in a fast-moving environment. - Invest in self-service platform capabilities and tooling that reduce operational burden, improve partner autonomy, and unlock efficient scale. About You Minimum Qualifications - 8+ years of software engineering experience, including 4+ years managing engineering teams delivering platform or infrastructure products in a B2B or enterprise SaaS environment. - Experience leading teams of 8+ engineers, including hiring, performance management, and career development. - Demonstrated success operating in ambiguous, high-growth settings while balancing reactive partner needs with long-term platform investments. - Proven cross-functional leadership driving outcomes across multiple engineering teams and stakeholders to deliver complex, multi-quarter roadmaps. - Direct domain experience in ad tech, retail media, or publisher-facing platforms. - Technical proficiency with distributed systems and cloud infrastructure (e.g., AWS or GCP), along with data and ads-adjacent technologies (e.g., event streaming, experimentation, measurement). - Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience. Preferred Qualifications - Experience scaling enterprise integrations and managing partner-facing technical relationships and SLAs. - Track record of building self-service platform capabilities and tooling that significantly reduce manual operations. - Comfort applying market and competitive analysis to inform engineering strategy and investment decisions. - Background with advertising serving, measurement/attribution, or campaign management systems. - Experience establishing reliability practices at scale (e.g., SLO frameworks, incident management, on-call health, post-incident learning loops). #LI-Remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $265,000—$279,500 USD WA $254,000—$268,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $243,000—$256,500 USD All other states $221,000—$233,000 USD