Founding CTO, AI Legal Tech (SF Bay Area)
Company websitelavendo.io (Lavendo, opens in new tab)
Base salary $160K to $220K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (7 min ago) · observed since
About this job
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
About the Company
Our client is an early-stage, San Francisco-based AI startup building the operating system for family law. Their platform automates the most time-intensive parts of legal practice — client intake, financial disclosures, document preparation, case management, and client collaboration — helping family law firms modernize and scale without adding headcount. Founded in 2025, the company is already working with real customers and actively closing a seed round, with $XM signed to date.
The Mission
To reduce the emotional and financial burden of divorce for millions of families — and empower the legal professionals who serve them — by transforming a fragmented, manual process into a guided, intelligent, AI-driven experience.
The Opportunity
This is a co-founder seat, not a hire.
You're joining at the inflection point: real product, real customers, seed round closing. As the first technical leader, you'll own the full stack — architecture, AI infrastructure, engineering culture, and execution velocity. You'll work shoulder-to-shoulder with the founding team to define how AI reshapes one of the largest, most underserved verticals in legal services.
If you've been waiting for a founding opportunity where the market is real, the mission matters, and the equity is worth the bet — this is it.
What You'll Do
Own and define end-to-end technical architecture of the platform
Write and ship production code daily alongside the founding team
Architect and scale AI agent infrastructure for legal workflows — billing, financial layers, document automation, collections, and client collaboration
Build and scale the engineering team from scratch — hiring, mentoring, and establishing culture
Partner with founders on product roadmap, fundraising narrative, and company strategy
Ensure security, compliance, and scalability of a document-heavy, regulated-industry platform
Drive rapid iteration cycles and maintain startup velocity through seed close and beyond
What You Bring
Must-Haves:
8+ years of software engineering experience, with 3–5+ years in technical leadership
Deeply hands-on — you still write and ship production code regularly
Proven experience building AI-native, workflow-heavy, or document-centric SaaS products
Proficiency with modern AI/ML stacks: LLMs, RAG, and agentic frameworks (LangChain/LangGraph, OpenAI/Claude APIs)
Strong backend and cloud infrastructure expertise (GCP/AWS, Python, Node.js, Kubernetes)
Experience building engineering teams in a 0→1 environment
Based in the SF Bay Area or willing to relocate
Financially comfortable with a founder salary model during the build phase — equity is the upside
Nice-to-Haves:
Exposure to legal tech, compliance-heavy, or regulated-industry products
Experience with document automation platforms
Prior founding experience or early employee (1–50 person company)
Background at Big Tech or high-growth SaaS
Genuine interest in access to justice and modernizing legal services
Key Success Drivers
Builder-first — you ship fast, don't wait for perfect conditions, and take pride in what you launch
Full ownership — you treat the product and team like they're yours, because they will be
Systems thinker — you design for agentic workflows and automation, not just feature lists
Ambiguity-tolerant — you thrive in 0→1 environments without a defined playbook
Mission-aligned — you're genuinely excited about AI's role in transforming legal services
Speed over perfection — you iterate fast, learn faster, and course-correct in real time
Why Join?
Compensation & Equity:
7-10% founder-level equity — significantly above market, reflecting a true founding relationship
Base salary: ~$4,000/month during the pre-seed phase, with a clear normalization trigger post-seed close
Upside is entirely equity-driven, structured for long-term wealth creation
What Makes This Rare:
Co-founder title and seat — not a VP/Director scope with imposed constraints
Real product traction and paying customers before you join
Seed round in progress: $XM already signed
Recognized by TechCrunch Disrupt Startup Battlefield and Stanford CodeX FutureLaw
Greenfield opportunity to define the technical foundation of a category-creating company
Interviewing Process
Intro Call
Level 1 — Technical Deep-Dive
Level 2 — Take-Home or Live Build Exercise
Level 3 — In-Person Co-Founder Day (half day, SF)
Reference Checks + Offer
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
Source: Lavendo on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($160,000) is above 17% of the 84 Executive roles in California listed on this site; 1 other lists the same floor. Their median floor is $211,500; the middle half runs from $174,450 to $255,875.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.
This listingFounding CTO, AI Legal Tech (SF Bay Area)$160K to $220K
Implementation Solutions Engineer (Post-Sales), Agentic AI (NY, SF, Austin)$150K to $200K
Strategic Project Lead, RL Environments for Financial AI (SF, On-site)$175K to $275K
Deployment Strategist, Enterprise AI Fintech (NYC/SF)$140K to $240K
Forward Deployed Engineer, Enterprise Document AI (SF)$220K to $320K
Forward Deployed Engineer, AI Training Data (San Mateo, CA)$230K to $300K
Chart as a table
| Role | Published base |
|---|---|
| Founding CTO, AI Legal Tech (SF Bay Area) (this listing) | $160K - $220K |
| Implementation Solutions Engineer (Post-Sales), Agentic AI (NY, SF, Austin) | $150K - $200K |
| Strategic Project Lead, RL Environments for Financial AI (SF, On-site) | $175K - $275K |
| Deployment Strategist, Enterprise AI Fintech (NYC/SF) | $140K - $240K |
| Forward Deployed Engineer, Enterprise Document AI (SF) | $220K - $320K |
| Forward Deployed Engineer, AI Training Data (San Mateo, CA) | $230K - $300K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-05-27
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 160,000 – 220,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
