1,896,942open jobs
111,262companies
252,861added this week
Browse all
Salary
$245k – $295k per year
Location
Hybrid (San Francisco, New York, United States)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Jul 15, 2026. Ironclad scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Ironclad is a contract lifecycle management software company headquartered in San Francisco, California, and founded in 2014. The company offers a digital contracting platform that automates the creation, negotiation, approval, signature, and storage of business agreements, with AI features for extracting and reviewing contract terms. It serves legal, sales, and procurement teams at enterprises and technology companies, and is backed by venture investors including Accel, Sequoia Capital, and Y Combinator.

Build AI contracting at enterprise scale. Ship it fast.

Ironclad is building AI on one of the most consequential datasets in enterprise software: over 2 billion contracts across thousands of the world's largest organizations. Contracts run every dollar, deal, and business relationship on the planet, and the AI transformation of this space is still largely uncharted. Engineers here are building agentic solutions to problems that haven't been solved yet, in a category that's still being defined. The feedback loop is short, the data is rich, and the people closest to the work are the ones deciding what gets built next. That ability to deliver impact quickly is why the the companies at the forefront of AI choose Ironclad to manage their contracts.

We’re consistently recognized as a leader in the industry: a Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. Ironclad has also been named to Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. We’re backed by leading investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton. For more information, visit www.ironcladapp.com or follow us on LinkedIn.

This is a hybrid role based out of our San Francisco office. Office attendance is required at least twice a week on Tuesdays and Thursdays for collaboration and connection. There may be additional in-office days for team or company events.

About the team

Jurist is Ironclad's AI-native contract review experience, built for the lawyers and business teams who negotiate agreements every day. It brings together first-pass redlining, reasoning-backed suggested changes, deviation summaries, obligation detection, and reusable playbook libraries into a single, trusted workspace for contract review and negotiation.

Jurist is one of Ironclad's highest-priority product surfaces, sitting at the intersection of applied AI, legal workflows, and end-user trust. The team owns both the user-facing product and the backend systems that power it, including document understanding, AI orchestration, clause detection, review state management, and enterprise-scale performance.

We're hiring a Technical Lead Manager to lead the engineering team behind Jurist and define the next generation of AI-assisted contract review. This is a high-impact leadership role for someone who wants to build product at the intersection of legal workflows, applied AI, and end-user experience.

What you'll do

  • Set the technical vision and roadmap for Jurist, spanning the full stack from user-facing review UI to the backend systems that power accurate, reliable AI outputs.

  • Lead architecture and execution for Jurist's core experiences: first-pass redlining, reasoning-backed suggestions, deviation summaries, obligation detection, and playbook-driven review workflows.

  • Own the end-to-end quality bar for Jurist, including evals, benchmarking, error analysis, regression prevention, and product instrumentation that improves accuracy and user trust over time.

  • Drive backend and platform decisions that support document understanding, AI orchestration, review state management, permissions, and enterprise-scale performance.

  • Shape the Jurist UI and interaction model in close partnership with Product and Design, ensuring AI outputs are explainable, actionable, and trustworthy for legal and business users.

  • Partner closely with Product, Design, Legal domain experts, Services, and go-to-market teams to translate customer pain points into scalable product capabilities.

  • Manage and grow a team of strong engineers across frontend and backend, balancing speed, technical rigor, and product judgment.

  • Establish strong engineering practices across design reviews, technical planning, experimentation, rollout safety, and operational excellence.

What we're looking for

Experience and leadership

  • 5+ years of experience architecting, building, and operating complex software systems in production.

  • 2+ years of technical leadership or engineering management experience, including mentoring and growing high-performing teams.

  • A strong track record of shipping ambiguous, zero-to-one or one-to-scale products where product and technical direction evolved quickly.

  • High agency and strong product instincts; you know when to go deep technically and when to simplify.

Technical depth

  • Experience building and owning user-facing products end-to-end, including both the UI layer and the backend systems that support it.

  • Deep backend and distributed systems experience, especially in systems that need to be reliable, observable, secure, and scalable.

  • Hands-on fluency with modern applied AI systems, including LLM orchestration, retrieval patterns, prompt and workflow design, model evaluation, and production quality controls.

  • Experience building user-facing AI products where accuracy, explainability, and trust materially affect adoption.

  • Comfort working across application, platform, and infrastructure layers.

  • Familiarity with modern web and cloud stacks. Our teams commonly work in TypeScript, React, Node.js, Docker/Kubernetes, and Google Cloud, though direct experience in our exact stack is not required.

Product mindset

  • You care deeply about building tools users love, not just systems that technically work.

  • You can translate domain complexity into intuitive product behavior and clear engineering priorities.

  • You enjoy close collaboration with product managers, designers, researchers, and customer-facing teams to iterate quickly on new capabilities.

  • You think about the full user journey, from the moment a reviewer opens a contract to the moment it's signed.

The TLM role at Ironclad

We believe in technical leaders who stay close to the work.

  • Roughly 80% building: shaping technical direction, designing systems, reviewing architecture, driving quality, and staying hands-on where it matters most.

  • Roughly 20% leading: coaching engineers, managing performance, hiring thoughtfully, and building a healthy, high-ownership team culture.

You'll join a company building at the center of AI and enterprise software, with the chance to solve hard product and technical problems that matter to some of the world's most sophisticated legal and business teams.

Base Salary Range: $245,000 - $295,000 offers company bonus

The base salary range represents the minimum and maximum of the salary range for this position based at our San Francisco headquarters. The actual base salary offered for this position will depend on numerous factors, including individual proficiency, anticipated performance, and the location of the selected candidate. Our base salary is just one component of Ironclad’s competitive total rewards package, which also includes equity awards (a new hire grant, along with opportunities for additional awards throughout your tenure), competitive health and wellness benefits, and a commitment to career growth and development.

US Full-Time Employee Benefits at Ironclad:

  • 100% health coverage for employees (medical, dental, and vision), and 75% coverage for dependents with buy-up plan options available

  • Market-leading leave policies, including gender-neutral parental leave and compassionate leave

  • Family forming support through Maven for you and your partner

  • Paid time off - take the time you need, when you need it

  • Monthly stipends for wellbeing, hybrid work, and (if applicable) cell phone use

  • Mental health support through Modern Health, including therapy, coaching, and digital tools

  • Pre-tax commuter benefits (US Employees)

  • 401(k) plan with Fidelity with employer match (US Employees)

  • Regular team events to connect, recharge, and have fun

  • And most importantly: the opportunity to help build the company you want to work at

**UK Employee-specific benefits are included on our UK job postings

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,896,942 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Similar stack
Same company
San Francisco
$270k – $330k per year • Hybrid • Full-Time • 12+ years exp • New York
AI/ML
AI Agents
LLM Guardrails
Machine Learning
Apply
$130k – $225k per year • In office • Full-Time • 5+ years exp • United States
Python
AI/ML
Reinforcement Learning
AI Agents
Synthetic Data
Post-training
Machine Learning
DevOps
Docker
Linux
Apply
≈ $161k – $331k per year (Estimated) • In office • Full-Time • 5+ years exp • Washington
AI/ML
Function Calling
AI Agents
RAG
Structured Outputs
Agentic Workflows
Apply
$117k – $201k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • Cambridge • San Diego
Python
SQL
Databases
Amazon Redshift
AI/ML
Multimodal AI
Knowledge Graph
Machine Learning
DevOps
AWS
AWS Lambda
Analytics
ETL/ELT
Life Sciences
CDISC
MedTech
DICOM
HL7
FHIR
Apply
$114k – $228k per year • In office • Full-Time • 8+ years exp • Bachelor's Degree • Alameda
Python
Databases
Databricks
AI/ML
MLFlow
Kubeflow
LLM
Time Series
Feature Store
Edge AI
Machine Learning
DevOps
Azure
CI/CD
Docker
Kubernetes
Harbor
Cybersecurity
GDPR
HIPAA
Analytics
ETL/ELT
Azure Data Factory
MedTech
ISO 13485
IEC 62304
Design Controls
Apply
Equity • In office • Contractor
JavaScript
TypeScript
AI/ML
Cursor
Claude Code
Model Context Protocol
AI Agents
OpenAI Codex
Frontend
Vue.js
React.js
Vite
Storybook
pnpm
DevOps
WebSockets
CI/CD
Kubernetes
OpenStack
Amazon S3
Cybersecurity
OWASP
QA
Playwright
Vitest
Apply
≈ $60k – $117k per year (Estimated) • Remote (United States) • Full-Time • 2+ years exp • Bachelor's Degree • United States
Databases
Apache Kafka
AI/ML
Claude
AI Agents
DevOps
GitHub
Cybersecurity
Checkmarx
Management
Jira
Agile
Apply
≈ $34k – $66k per year (Estimated) • In office • Full-Time • Eindhoven
DevOps
Terraform
GCP
CloudFormation
Azure
CI/CD
AWS
Bicep
Apply
$115k – $180k per year • Hybrid • Full-Time • 10+ years exp • Bachelor's Degree • New York • Chicago
Python
AI/ML
Copilot
Model Context Protocol
AI Agents
RAG
OpenAI
Human-in-the-Loop
Context Engineering
Copilot Studio
DevOps
Azure
Apply
$129k – $158k per year • Remote (United States) • Full-Time • 5+ years exp • Bachelor's Degree • United States
Python
JavaScript
TypeScript
SQL
C#
DevOps
CI/CD
Git
Gitflow
Trunk-Based Development
Windows
QA
Selenium
Playwright
Pytest
Apply
$188k – $235k per year • Equity • Hybrid • Full-Time • San Francisco
AI/ML
AI Agents
NLP
LLM
Apply
$210k – $235k per year • Equity • Hybrid • Full-Time • 8+ years exp • San Francisco
AI/ML
Claude Code
AI Agents
Lovable
Human-in-the-Loop
Knowledge Graph
Agentic Workflows
Design
Figma
Apply
$370k – $410k per year • Equity • Hybrid • Full-Time • 10+ years exp • United States
Marketing
Salesforce
Apply
≈ $88k – $170k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • London
Apply
$116k – $145k per year • Equity • Hybrid • Full-Time • 4+ years exp • Bachelor's Degree • San Francisco • New York
AI/ML
Claude
ChatGPT
Analytics
Looker
Marketing
Salesforce
Apply
$297k – $440k per year • Equity • Hybrid • Full-Time • 7+ years exp • San Francisco • San Jose • Bellevue
Python
AI/ML
Machine Learning
DevOps
SLURM
CI/CD
AWS
Kubernetes
AWS Lambda
Apply
$94k – $142k per year • Equity • In office • Full-Time • 7+ years exp • Bachelor's Degree • San Francisco
Design
SolidWorks
Apply
≈ $52k – $85k per year (Estimated) • In office • Internship • San Francisco
Kotlin
Dart
Swift
Mobile
Flutter
Apply
≈ $94k – $178k per year (Estimated) • Hybrid • 4+ years exp • Bachelor's Degree • San Diego • San Francisco
Python
SQL
Energy
PLEXOS
Apply
≈ $75k – $150k per year (Estimated) • In office • Part-Time • 5+ years exp • San Francisco
Apply
See all jobs
This is one of many
1,896,942 more open roles from verified company boards, updated every day.