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Company Overview
At Eve, we’re redefining what’s possible in legal technology. Our mission is to empower plaintiff law firms with AI-driven solutions that elevate how they operate, serve clients, and grow.
We believe the future of law will be built by “AI-Native Law Firms” — firms that are managed, scaled, and optimized by intelligent systems rather than manual processes and endless administrative work. Eve’s technology augments the capabilities of attorneys across every stage of a case — from intake and document review to strategy and settlement — so they can focus on what truly matters: achieving the best outcomes for their clients.
Our vision is simple yet transformative: enable every firm to operate at its highest potential through the power of AI.
Why Join Eve:
Product-market fit: Eve is used by over 550+ 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.
About the Role:
We’re looking for a Marketing Strategy & Operations Manager to help scale Eve’s demand engine, strengthen our go-to-market foundation, and ensure marketing programs convert into measurable revenue impact. This role sits at the intersection of strategy, systems, data, and execution—partnering closely with Growth, Lifecycle, Events, Sales, and RevOps to operationalize the full marketing funnel.
You’ll own the marketing tech stack, build and optimize workflows, implement scoring and routing logic, design reporting, and drive the operational rhythm that fuels predictable pipeline generation. This is a high-visibility, high-impact role for someone who loves solving complex problems, bringing structure to ambiguity, and architecting scalable growth systems.
What You Will Accomplish:
- Lead marketing operations across automation, routing, scoring, and lifecycle workflows
- Own the marketing tech stack (HubSpot, attribution, enrichment, integrations)
- Build and optimize end-to-end lead flow from marketing → SDR → sales
- Create dashboards and reporting for funnel performance, attribution, CAC/ROAS, and pipeline impact
- Partner with Growth, Lifecycle, Events, and Sales to operationalize campaigns and measure results
- Drive quarterly/annual planning inputs, pipeline modeling, and KPI frameworks
- Maintain data quality, governance, and scalable systems/automation as we grow
What We're Looking For:
- 3–6+ years of experience in Marketing Operations, RevOps, or Growth Operations at a B2B SaaS or tech company (2+ years in management consulting or related field a plus)
- Deep hands-on experience with HubSpot (preferred), Marketo, Pardot, or similar MAP.
- Strong technical skills: workflow automation, lead scoring, routing logic, integrations, SQL/Looker/BI familiarity
- Experience with attribution modeling (multi-touch preferred) and funnel analytics
- Ability to translate ambiguous requirements into structured systems and scalable processes
- Strong partnership skills—comfortable working across Marketing, Sales, and Product
- Analytical mindset with experience building dashboards and generating insights
- Comfort in a fast-paced, high-growth environment where you build from 0 → 1
Nice To Have:
- A builder’s mindset — you enjoy creating systems and processes from scratch and iterating quickly
- A passion for metrics — you love clean dashboards, attribution accuracy, and pipeline visibility
- Experience supporting teams that run field marketing and lifecycle programs
- Familiarity with HubSpot, Clearbit, Salesforce, and other marketing/GTM tools
- A low-ego, collaborative style that builds trust across functions
- A desire to make a big impact at an early-stage, high-growth company
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
- 🖥️ Office Setup Reimbursement
- 🏝 Flexible Time Off (FTO) + Holidays
- 🚀 Quarterly Team Gatherings
- 🥪 In office Perks
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
🖥️ Office Setup Reimbursement
🏝 Flexible Time Off (FTO) + Holidays
🚀 Quarterly Team Gatherings
🥪 In office Perks
Eve San Mateo, California, USA Office
1825 South Grant Street, San Mateo, CA, United States, 94402
Eve San Mateo, California, USA Office
71 E 3rd Avenue, San Mateo, CA, United States, 94402
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
