775,230open jobs
48,666companies
118,234added this week
Browse all
Salary
$188k – $235k per year
Location
Hybrid (San Francisco, United States)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 18, 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.

About the role

We're looking for a Tech Lead Manager to lead a team of engineers building production generative AI systems. You'll combine hands-on technical leadership with people management, setting the technical direction for the team while growing the engineers on it.

What you'll do

  • Lead and grow a team of engineers, balancing hands-on technical leadership with people support.

  • Own the technical roadmap and quality bar for your team's systems.

  • Own the business outcome. Partner with product management and work across teams to translate customer and business needs into technical deliverables.

  • Personally contribute direct technical output: write design docs, drive key architectural decisions, and write production code yourself for the highest-leverage or highest-risk problems.

  • Stay close to the architecture and technical details of what your team builds well enough to review design decisions, unblock engineers, and make prioritization calls.

  • Set and uphold engineering standards: code quality, testing, eval-driven development, and production monitoring for both reliability and output quality.

  • Manage prioritization and tradeoffs across competing priorities, and coordinate closely with adjacent teams whose work depends on yours.

  • Hire, mentor, and develop engineers; run performance and career development for direct reports.

What we're looking for

  • Proven experience leading engineering teams as a manager, with a track record of shipping production systems.

  • Strong technical background in generative AI / LLM-based systems, with enough expertise to provide the technical depth and direction where the team needs.

  • Able to work directly as a technical contributor, creating design and implementing solutions.

  • Experience operating production ML/LLM systems: eval-driven development, monitoring for both reliability and output quality, and staged rollouts.

  • Past experience in one or more of the following areas: NLP, content/document understanding, search/retrieval, Agent framework or LLM training infra/frameworks.

  • Track record of hiring, mentoring, and growing engineers, and of navigating performance and leveling conversations directly.

  • Strong cross-functional partnership skills - comfortable setting a technical roadmap in a room with product, other engineering leads, and company leadership.

  • Comfortable operating in a dynamic, fast-paced, outcome-driven environment with real ambiguity in scope.

Great to have

  • Experience scaling a team through a significant architectural transition.

  • Familiarity with canary rollouts for ML/LLM systems.

Base Salary Range:

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.
775,230 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
AI Platform Engineer 1 month ago
$184k – $215k per year • Hybrid • Full-Time • 10+ years exp • Bachelor's Degree • Rockville
Databases
PostgreSQL
Redis
DynamoDB
OpenSearch
Amazon Aurora
Amazon DocumentDB
AI/ML
Claude Code
LLM
DevOps
Terraform
Datadog
GitLab CI
CI/CD
AWS
Docker
Amazon EC2
Amazon S3
Amazon ECS
Amazon CloudWatch
Linux
Apply
$250k – $600k per year • In office • Full-Time • New York • Geneva • London • Paris
AI/ML
World Models
Apply
≈ $153k – $314k per year (Estimated) • In office • Full-Time • United States
SQL
AI/ML
dbt
Cybersecurity
ISO 27001
SOC 2
Least Privilege
Apply
≈ $176k – $360k per year (Estimated) • In office • Full-Time • Master's Degree • San Jose
Python
C++
C++
TensorFlow C++
PyTorch C++
AI/ML
Hadoop
Spark
Reinforcement Learning
NLP
Transfer Learning
TensorFlow
PyTorch
LLM
Recommender Systems
Machine Learning
DevOps
Linux
Apply
≈ $171k – $350k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Jose
Python
Go
Java
Kotlin
C++
AI/ML
AI Agents
Agentic Workflows
Mobile
Modularization
DevOps
OpenTelemetry
eBPF
Apply
$18k per year (net) • In office • Full-Time • Bishkek
Java
Java
Spring Boot
Databases
PostgreSQL
Redis
AI/ML
AI Agents
LLM
DevOps
Rest API
WebSockets
AWS
Docker
Kubernetes
GitHub
Apply
In office
Python
AI/ML
Computer Vision
NLP
RAG
Machine Learning
Apply
Equity • Hybrid • Full-Time • London
AI/ML
AI Agents
Agentic Workflows
Apply
≈ $18k – $40k per year (Estimated) • Hybrid • 4+ years exp • Moscow
Python
JavaScript
TypeScript
Python
Flask
FastAPI
Django
Databases
PostgreSQL
AI/ML
AI Agents
TensorFlow
PyTorch
Machine Learning
Frontend
Vue.js
Angular
React.js
DevOps
Rest API
gRPC
Docker
Kubernetes
Apply
$51k – $76k per year • In office • South Korea
AI/ML
Copilot
Vertex AI
Gemini
LLM
OpenAI
DevOps
GCP
Azure
AWS
Management
Google Workspace
Zapier
Power Automate
Apply
$245k – $295k per year • Equity • Hybrid • Full-Time • 5+ years exp • San Francisco • New York
JavaScript
TypeScript
Node JS
AI/ML
AI Agents
LLM
Frontend
React.js
DevOps
GCP
Docker
Kubernetes
Apply
$156k – $195k per year • Equity • Hybrid • Full-Time • 5+ years exp • San Francisco • New York
Databases
Google BigQuery
BigQuery
AI/ML
LLM
Human-in-the-Loop
Agentic Workflows
Apply
Corporate Recruiter 2 days ago
$120k – $145k per year • Equity • Hybrid • Full-Time • 3+ years exp • San Francisco
Marketing
LinkedIn
Apply
$150k – $170k per year • Equity • Hybrid • Full-Time • 5+ years exp • San Francisco • New York
AI/ML
AI Agents
Marketing
LinkedIn
Apply
$180k – $220k per year • Equity • Hybrid • Full-Time • 4+ years exp • San Francisco
Databases
ElasticSearch
OpenSearch
Vespa
AI/ML
AI Agents
NLP
LLM
Reranking
OpenAI
Anthropic
Recommender Systems
Tool Use
Apply
$125k – $175k per year • Equity 0.2–2% • In office • Full-Time • 3+ years exp • PhD • San Francisco
Python
AI/ML
Multimodal AI
Time Series Forecasting
Machine Learning
Robotics
Sensor Fusion
Apply
$180k – $250k per year • Remote (United States) • Full-Time • San Francisco
Python
TypeScript
Python
Hypothesis
AI/ML
AI Agents
Post-training
Machine Learning
Apply
≈ $134k – $359k per year (Estimated) • In office • Internship • San Francisco
Python
TypeScript
Python
Hypothesis
AI/ML
AI Agents
Post-training
Machine Learning
Apply
Founding Engineer 5 hours ago
$110k – $180k per year • Equity 0.1–1% • In office • Full-Time • San Francisco
Python
JavaScript
Node JS
AI/ML
Vertex AI
OpenAI
Anthropic
Frontend
Next.js
React.js
DevOps
Azure
Kubernetes
Apply
$60k – $84k per year • In office • Internship • San Francisco
Python
JavaScript
TypeScript
AI/ML
Copilot
Cursor
Claude
Claude Code
Model Context Protocol
Vertex AI
AI Agents
LLM
OpenAI
Anthropic
LLM Guardrails
Tool Use
Frontend
Next.js
React.js
DevOps
Azure
AWS
Kubernetes
Apply
See all jobs
This is one of many
775,230 more open roles from verified company boards, updated every day.