Product Marketing

• Own and maintain Eve’s master messaging framework, including core narrative, value pillars, proof points, persona messaging, and competitive counter-positioning
• Own the first call deck, including its narrative, structure, and evolution based on deal outcomes
• Own keynote and event session content from outline to stage, sometimes presenting
• Partner with the CEO, CPO, and product leadership on board decks, stage appearances, podcasts, and field messaging
• Develop a defensible point of view on how Eve wins against the legal AI landscape
• Conduct ongoing conversations with customers, prospects, and sales representatives and feed insights into messaging and Product
• Partner with Enablement, Demand Gen, Content, and PMM teams to apply messaging across collateral, campaigns, training, and launches

Senior Product Marketing Manager, Messaging

AI Engineer

• Own voice agent customization end to end for every firm during intake onboarding
• Configure call flows, firm knowledge bases, objection handling, case-type-specific intake questions, transfer rules, staff directories, and call/lead scoring criteria
• Set up phone system integrations including RingCentral and CRM/DMS handoffs including Clio Grow, Lead Docket, and Smart Advocate
• Configure e-signature setup so retainers can be sent and signed while clients are on the phone
• Define standards, checkpoints, sequencing, and judgment calls for fully onboarded intake
• Turn operational learnings into training and documentation for CSMs and Legal Account Associates
• Manage a book of intake-focused accounts, including intake-only and land-and-expand deals
• Partner with CSMs, integrations engineering, and plaintiff law firms

Legal AI Architect, Intake Specialist

Attorney

• Build and manage scalable operational processes for the Legal organization
• Manage Legal workflows, intake processes, documentation, and operational reporting
• Partner with Legal leadership to improve efficiency, automation, and scalability
• Support contract, matter, vendor, and other Legal operations and reporting
• Develop systems and processes that improve visibility into Legal activity, workload, and business impact
• Coordinate cross-functional Legal initiatives with Finance, GTM, Product, Security, and other teams
• Own and improve cross-functional business processes spanning multiple departments and geographies
• Identify operational gaps, inefficiencies, and duplicated efforts and design scalable solutions
• Build operating mechanisms that improve visibility, accountability, and execution
• Translate operational needs into effective processes, systems, and workflows
• Lead special projects and strategic operational initiatives for company leadership
• Manage the operational lifecycle of business tools and systems, including procurement, implementation, and optimization
• Coordinate vendor selection, negotiations, renewals, and ongoing vendor management
• Establish processes for business tool requests, approvals, implementation, and governance
• Identify opportunities to automate manual workflows
• Connect information and workflows across departments
• Establish processes for collecting, maintaining, and sharing operational information
• Lead cross-functional projects and support executive leadership with operational planning, analysis, and special projects

Manager, Legal Operations

Marketing

• Plan and execute customer-facing in-person events including lunch-and-learns, executive briefings, and other field programs from strategy and budget through logistics and follow-up
• Design and run regional ABM programs targeting key accounts with tailored, high-touch experiences
• Partner with Content, Product Marketing, Sales, and Customer Success teams to adapt and localize messaging, collateral, and narratives
• Build content points of view for field programs based on audience, story, format, events, and campaigns
• Manage event and program budgets, vendors, and logistics
• Measure and report program performance, including pipeline influence, engagement, and account penetration
• Own end-to-end field marketing programs to generate qualified pipeline, accelerate open opportunities, and strengthen customer relationships
• Continuously improve tactics and introduce high-impact program ideas using data, market insights, and stakeholder feedback

Field Marketing Manager

Data Engineer

• Own ingestion through Fivetran, third-party connectors, and custom extraction
• Own orchestration across dbt Platform and GitHub Actions
• Own materialization strategy and model performance
• Move critical models from nightly full rebuilds to incremental patterns
• Build source-schema change detection and alerting
• Establish observability with freshness SLAs, failure and drift alerting, and incident ownership
• Respond to pipeline failures and drive upstream fixes
• Manage pipeline compute cost and freshness-versus-spend tradeoffs
• Share Snowflake administration, including role-based access, security and network policies, data masking, PII controls, and storage organization
• Extend the medallion architecture and Terraform-managed footprint, including development/production separation
• Contribute to foundational modeling patterns, conformed dimensions, shared entities, and SCD patterns
• Build development environments and CI for analyst model contributions
• Review analyst contributions
• Build onboarding tooling for engineers and analysts
• Administer the data tooling stack, access, integrations, and system connectivity
• Use AI-assisted development, including Claude Code skills, agents, and evals
• Document systems and processes
• Report to the Head of Data Engineering, who reports to the CEO

Senior Data Engineer

• Own the role-based access model, including role hierarchy, least-privilege grants, and scoped access for service accounts, BI tools, and AI agents
• Manage grants as code and run the access review cycle
• Own Snowflake administration, including security and network policies, data masking, PII controls, storage organization, compute cost, and retention
• Extend the medallion architecture and Terraform-managed footprint, including state, module design, and environment promotion
• Own ingestion through Fivetran, third-party connectors, and custom extraction
• Own orchestration across dbt Platform and GitHub Actions, materialization strategy, model performance, incremental patterns, and latency reduction
• Build source-schema change detection and establish observability with freshness SLAs, alerting, drift detection, and incident ownership
• Contribute to foundational modeling: source-to-staging patterns, conformed dimensions, shared entities, and SCD patterns
• Define dbt project architecture, Git-based development workflow, CI, testing standards, macro and package libraries, and isolated development environments
• Partner on data retention and customer data handling policy and implement technical controls
• Establish AI-assisted development practices using Claude Code skills, agents, and evals
• Build tooling and setup to make new engineers and analysts productive quickly
• Document systems and processes
• Mentor engineers and analysts and set the technical bar for data engineering
• Set technical direction for a data platform handling product usage, case and firm data, go-to-market systems, and AI-agent queries
• Report to the Head of Data Engineering on the central data team

Staff Data Engineer

Analytics Engineer

• Own product analytics and customer success analytics domains
• Build models tracking product usage, feature adoption, and launch performance, including WAU, MAU, adoption depth, and launch cohort analysis
• Build customer success models for customer health, onboarding, time-to-value, renewal risk, and expansion
• Own governed definitions for NRR, churn, and expansion, reconciling them with Finance reporting
• Design semantic models connecting usage behavior to customer outcomes and renewal prediction
• Build on source-to-staging models and conformed dimensions owned by data engineering
• Work within and help shape certification frameworks and modeling standards
• Partner with Product on event taxonomy and tracking plans
• Instrument models with alerting for failures and drift
• Maintain documentation of models, metrics, and definitions
• Partner with Product and Customer Success stakeholders to turn questions into durable models
• Design and review models with analysts
• Build internal AI agents, data-grounded tools, and reusable skills
• Build usable patterns in Omni and Hex
• Scope requirements and carry projects through the full lifecycle
• Report to the Head of Data Engineering

Senior Analytics Engineer

• Own Eve's go-to-market data model and establish standards for the analytics engineering team
• Build pipeline, funnel, campaign, and revenue models from HubSpot, DealHub, Apollo, and Clay in the warehouse and semantic layer
• Design, deploy, and maintain trusted semantic models for pipeline coverage, funnel conversion, CAC, win rate, sales cycle time, ARR, and bookings
• Build on source-to-staging models and conformed dimensions
• Instrument models for alerting to detect failures and drift
• Maintain documentation for owned models, metrics, and definitions
• Build internal AI agents and data-grounded tools for GTM stakeholders
• Own the metrics certification framework and catalog
• Define modeling standards and semantic-layer patterns
• Certify governed metric definitions and arbitrate conflicting definitions across teams
• Establish analytical application development patterns in Omni and Hex
• Partner with Sales, Marketing, Customer Success, and RevOps stakeholders
• Mentor analytics engineers and set the technical bar
• Report to the Head of Data Engineering