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Founding CTO, AI Legal Tech (SF Bay Area)
Lavendo · San Francisco · Hybrid · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Lavendo |
| Title | Founding CTO, AI Legal Tech (SF Bay Area) |
| Normalized title | - |
| Department / team | Software Engineering & Data / Software Engineering & Data |
| Location | San Francisco, CA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-06-01 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Lavendo. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in Software Engineering & Data. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Lavendo |
| Source | e071dcd1-0b25-4d58-ac1d-36b223b36110 |
| ATS provider | Ashby |
Description
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.
Full job record
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| Source ID | e071dcd1-0b25-4d58-ac1d-36b223b36110 |
| Board ID | e071dcd1-0b25-4d58-ac1d-36b223b36110 |
| Provider | ashby |
| Provider Job Key | 87c092b7-1621-47d7-8022-2a77df8b9e29 |
| Title | Founding CTO, AI Legal Tech (SF Bay Area) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco |
| Department | Software Engineering & Data |
| Team | Software Engineering & Data |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | CA |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/lavendo/87c092b7-1621-47d7-8022-2a77df8b9e29 |
| Apply URL | https://jobs.ashbyhq.com/lavendo/87c092b7-1621-47d7-8022-2a77df8b9e29/application |
| First Seen At | 2026-05-29 07:09:17Z |
| Last Seen At | 2026-06-06 09:36:40Z |
| Last Checked At | 2026-06-06 09:36:40Z |
| Last Changed At | 2026-06-01 13:20:43Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=lavendo/date=2026-06-06/2026-06-06T09-36-21-050Z-f1bc386ab7ca1e5e52bfcb8fb1d911966f186ec972e2d6a344d2acade9db2a0f.json |
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