The Opportunity:Data is the core engine powering our AI platform, attorney marketplace, and internal intelligent tools, and we are expanding the scope and impact of our data organization. As
Head of Data, you will own the vision, architecture, and execution for our entire data ecosystem-building a unified, trusted foundation that powers decision-making and next-generation product features across the enterprise.
With a modern cloud footprint on GCP, a sophisticated customer context graph,, critical data pipelines, personalization and messaging tools and a suite of self service analysis, experimentation and reporting tools; you will establish the technical standards, data governance, and scalable pipelines needed to fuel AI innovation at scale.
Partnering directly with the CTO and executive leadership, you will have deep strategic influence and complete ownership of our platform, tools, and team from day one. Every dataset, metric, and pipeline directly accelerates our mission of making legal protection accessible to millions worldwide.
What you will own:- The data platform and its modernization. Target architecture, platform and vendor choices, engineering standards, and the retirement of legacy pipelines.
- Data the business can trust. Governance, metric definitions, quality and lineage, so the same question gets the same answer whoever asks, on any tool, with the rigor that customer data about legal needs requires.
- The instrumentation standard. Deep experience with what good front-end and product event tracking looks like, and the technical ownership to fix instrumentation bugs , at the source.
- The tools the business runs on. Our reporting and analytics tools, including AI-native analytics, Product Analytics, Customer Data Platform, Marketing Automation.
- Self-service across the company. The data, tools and enablement that let Finance, Growth, Marketing, Product and other teams do their own analysis and make daily decisions.
- Customer data that personalizes the product. A connected customer view that powers personalized experiences across all customer touchpoints,.
What you will do:Lead the strategy and architecture- Set the multi-year data strategy and target architecture, and keep it current as the business changes.
- Own platform and vendor decisions across warehouse, lakehouse, orchestration, transformation, quality, analytics and activation tooling.
- Partner with the CTO and engineering leaders on how product services emit, own and share data.
Run the platform- Lead modern cloud data infrastructure, including data warehouse, lakehouse, and data engineering platforms
- Establish engineering standards for data: versioned and tested transformation models, CI/CD, observability and on-call.
- Set the standard for front-end and product instrumentation, and own fixing tracking issues at the source.
- Make real-time and batch pipelines reliable, observable and cost-efficient, with platform spend managed against a cost model.
Make data useful- Enable self-service across Finance, Growth, Marketing, Product, Customer Service and Legal operations, so teams are empowered to do their own reporting and analysis on governed data to get trusted answers.
- Own event, property and metric values and definitions so functional teams are able to self service consistent answers .
- Partner with business owners to shape their data requirements. Fold them into one roadmap that gives every leader what they need to run their business.
- Deliver the customer data that personalizes the product experience, not just the data that reports on it.
Govern it well- Define data ownership, classification, access and retention, with Security, Privacy and Legal.
- Set the common standards for layering, access and definitions that product teams follow when they build their own domain pipelines.
- Meet our obligations under US state privacy law, UK GDPR and Brazil's LGPD.
- Support reporting that underpins attorney quality oversight on our marketplace.
Build the team- Hire, develop and retain a strong team: grow the people we have, add the skills we don't yet have, and decide where partners help.
- Make the team AI-fluent, using AI in how it builds, tests and supports our data.
- Serve as the technical data partner to our company-wide AI enablement work, and represent data on our Enterprise AI Council.
What you bring:- 12+ years in data engineering, data platforms or analytics, with 5+ years leading data teams, including leaders of teams.
- A hands-on player-coach who sets strategy and delivers it. You make things happen rather than tell others what should happen, and you see work through to the end.
- Leadership of data engineering and analytics as one organization, including self-service for multiple functions that use data to make daily optimization decisions.
- Demonstrate your understanding of what an online business like ours needs from its data: what growth optimization, product and UX, marketing and finance each rely on, and what good looks like for each.
- Hands-on experience with product analytics tools such as Amplitude that run on front-end behavioral data, and with experiment design: how it shapes instrumentation and audience sampling.
- A platform migration you led end to end: the plan, the cutover, and the retirement of what it replaced.
- Deep, current knowledge of modern data platforms: Databricks or Snowflake (ideally both), dbt, Spark, SQL, orchestration, and streaming on a major cloud, preferably GCP.
- A record of understanding of the instrumentation needed for online businesses and the governance necessary for trusted insights across multiple self service teams.
- Practical experience preparing data for AI and machine learning (governed, well-described data for retrieval, models and agents), and fluency using AI in your own work.
- Communication skills and judgment to actively manage priorities across different teams and identify the common solutions to address multiple stakeholder needs.
- A leader people want to work for: you develop managers and engineers, build teams that last, and lead with humility.
Strongly preferred- Experience in a PE-backed or similarly performance-driven software company.
- Customer data platforms, identity resolution or graph-based customer models.
- Regulated or sensitive data domains, such as legal, financial services or healthcare.
- Marketplace or two-sided business models.
Why join:- Real ownership. You set the architecture and lead the modernization of our data platform, rather than maintaining someone else's.
- A product that matters. Most people cannot afford a lawyer when they first need one. Our data helps them get the right help at the right time.
- AI at the center. Your platform powers AI legal guidance, an attorney marketplace and the internal AI tools that are changing how we work.
- High visibility. You partner directly with the CTO and the executive team, and represent data on our Enterprise AI Council.
Benefits & Perks- Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
- Unlimited PTO
- Competitive salary packages
- Life insurance
- Disability benefits
- Supplemental Optional Life Insurance Benefits
- FSA Options Optional
- HSA with Company Match
- 401k program with Company Match
- Fertility Assistance and Planning options
- Wellhub & ClassPass fitness platforms
- Comprehensive Pet Insurance options
- Financial Wellbeing & Student Loan Program access
- Access to additional Mental Health & Wellbeing resources
- Pre-tax Commuter/Transit Benefits
- Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates
Interview Process:- Recruiter Phone Screen
- Role Assessment(s)
- Hiring Manager Interview
- Panel Interviews
- Final Interview
Base Pay Range dependent on experience, job level, and geographic location: $204,867 - $361,018
- San Francisco Bay Area, CA
- California (outside of San Francisco Bay Area)
- Colorado
- Utah, North Carolina
Actual compensation is determined by a variety of factors specific to each candidate, including but not limited to skills, relevant experience, certifications, job level, and geographiclocation. In addition to base salary, this position may be eligible for variable compensation and equity awards, depending on the role and level.
Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process. In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level.
Base salary range:
$204,867-$361,018 USD
