2,054,260open jobs
121,316companies
243,491added this week
Browse all
Salary
$180k – $200k per year
Location
Hybrid (San Francisco, United States)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Jun 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.

This is a hybrid role. 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

At Intelligence Platform org, we own Ironclad's Agent Assistant, Conversational Search, and Content Understanding - the systems that help users and AI agents understand, find and act on the right contract information. These are the flagship AI capabilities of our product.

The team is a mix of ML and ML infrastructure engineers who build and operate these systems together.

What you'll work on

  • Agentic search systems: Evolve the architecture that combines LLM and retrieval system to produce optimal answer for complex or ambiguous questions.

  • Eval-driven development: Design and run the benchmarks and experiments that measure search quality, and use that feedback to improve the system.

  • Search quality: Contribute to the company's search quality bar.

  • Content understanding & ingestion: turn raw documents into processed data that can be consumed by retrieval systems, by building/using NLP/LLM models and pipelines

Who we're looking for

  • 4 years experience building production systems, with hands-on experience in search, information retrieval, content understanding or recommendation systems at meaningful scale.

  • Demonstrated expertise in one of: learned/hybrid retrieval (lexical + vector + reranking), query understanding/NLU pipelines, or production LLM agent systems - ideally more than one.

  • Experience with search frameworks (Elasticsearch or equivalent - Solr, Vespa, OpenSearch; embedding search) in production, including relevance tuning and reranking.

  • Fluency with modern LLM APIs and multi-provider orchestration (Anthropic, OpenAI, Google) - reasoning about token budgets, provider-specific tool-calling semantics, and prompt-caching trade-offs.

  • Experience building eval-driven workflow - offline benchmarks, regression detection, structured A/B comparison - as opposed to shipping and hoping.

  • Strong ownership and communication.

  • Care deeply about system scalability, reliability, and right design patterns.

  • Comfortable operating in a dynamic, fast-paced and outcome-driven environment.

Base Salary Range: $180,000 - $200,000 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.
2,054,260 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

Backend
Similar stack
Same company
San Francisco
≈ $124k – $245k per year (Estimated) · Equity · In office · Full-Time · 3+ years exp · Bachelor's Degree · Seattle
JavaScript
Java
TypeScript
C#
C++
Node JS
Perl
Frontend
React.js
Apply
$185k – $250k per year · Equity · In office · Full-Time · 5+ years exp · Bachelor's Degree · New York
AI/ML
AI Agents
DevOps
AWS
Apply
Java Developer 3 days ago
≈ $158k – $295k per year (Estimated) · In office · Full-Time · 10+ years exp · San Francisco
Python
Java
Java
Spring Boot
Databases
PostgreSQL
ElasticSearch
Apache Kafka
Amazon Aurora
AI/ML
Flink
DevOps
Rest API
CI/CD
AWS
AWS Lambda
Amazon EC2
Amazon S3
IAM
Amazon CloudWatch
Management
Agile
Apply
≈ $95k – $178k per year (Estimated) · In office · Full-Time · 7+ years exp · Irving
Python
JavaScript
Java
TypeScript
Java
Spring Boot
Databases
PostgreSQL
AI/ML
Copilot
ChatGPT
Frontend
Angular
Mobile
JUnit
DevOps
Terraform
CI/CD
Jenkins
AWS
Docker
Kubernetes
GitHub
Management
Agile
Scrum
QA
Playwright
Apply
≈ $122k – $228k per year (Estimated) · Hybrid · Full-Time · 15+ years exp · Bachelor's Degree · Houston
Apply
≈ $42k – $106k per year (Estimated) · In office · Full-Time · 3+ years exp · Shanghai
AI/ML
AI Agents
LLM
Apply
≈ $56k – $120k per year (Estimated) · In office · Full-Time · PhD · Sydney
AI/ML
AI Agents
Agentforce
Marketing
Salesforce
Apply
≈ $94k – $215k per year (Estimated) · In office · Full-Time · Eveleigh
Python
SQL
AI/ML
LangGraph
LangChain
Spark
AI Agents
TensorFlow
PyTorch
LLM Guardrails
Machine Learning
DevOps
Azure
CI/CD
AWS
Docker
GitHub
Analytics
ETL/ELT
Apply
$200k – $344k per year · Hybrid · 15+ years exp · Bachelor's Degree · Eden Prairie
AI/ML
AI Agents
DevOps
Incident Management
Cybersecurity
HIPAA
Apply
≈ $55k – $121k per year (Estimated) · Remote (Netherlands) · Full-Time · Hoofddorp
Python
Databases
Databricks
AI/ML
Copilot
Prompt Engineering
AI Agents
RAG
LLMOps
DevOps
Azure DevOps
Azure
CI/CD
Kubernetes
Platform Engineering
Bicep
Azure AKS
IAM
Cybersecurity
Microsoft Entra ID
Apply
$210k – $235k per year · Equity · Hybrid · Full-Time · 8+ years exp · PhD · San Francisco
Python
Go
JavaScript
TypeScript
Node JS
AI/ML
AI Agents
Frontend
Webpack
React.js
DevOps
Terraform
GCP
GitHub Actions
CircleCI
Pulumi
Azure
CI/CD
GitOps
ArgoCD
AWS
Docker
Kubernetes
Backstage
Bazel
QA
Jest
Vitest
Apply
$150k – $165k per year · Equity · Hybrid · Full-Time · 2+ years exp · San Francisco
Python
Go
JavaScript
TypeScript
Node JS
AI/ML
AI Agents
Frontend
Webpack
React.js
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Backstage
Bazel
QA
Jest
Vitest
Apply
$188k – $270k per year · Equity · Hybrid · Full-Time · 10+ years exp · San Francisco
Databases
ElasticSearch
OpenSearch
Vespa
AI/ML
AI Agents
NLP
LLM
RAG
Reranking
OpenAI
Anthropic
SFT
Post-training
Recommender Systems
Apply
Principal Engineer 5 months ago
$285k – $315k per year · Equity · Hybrid · Full-Time · 10+ years exp · San Francisco
JavaScript
Java
TypeScript
Node JS
Java
Maven
AI/ML
AI Agents
LLM
RAG
Semantic Search
Frontend
React.js
DevOps
GCP
Docker
Kubernetes
Apply
$188k – $235k per year · Equity · Hybrid · Full-Time · San Francisco
AI/ML
AI Agents
NLP
LLM
Apply
$125k – $150k per year · In office · 4+ years exp · San Francisco
Python
SQL
Python
Flask
Databases
PostgreSQL
AI/ML
Pandas
DevOps
AWS
Docker
Kubernetes
Analytics
ETL/ELT
Management
Jira
Apply
$165k – $224k per year · Equity · In office · Full-Time · 1+ year exp · Bachelor's Degree · San Francisco
Java
C#
C++
Perl
Apply
Senior Engineer 1 day ago
≈ $157k – $292k per year (Estimated) · In office · 5+ years exp · San Francisco
Go
JavaScript
TypeScript
Databases
PostgreSQL
Redis
Apache Kafka
AI/ML
Cursor
Claude
Claude Code
AI Agents
OpenAI Codex
Frontend
Next.js
React.js
DevOps
gRPC
GitOps
Kubernetes
Apply
$224k – $279k per year · In office · Full-Time · Austin · San Francisco · Seattle · Phoenix
Python
Rust
TypeScript
C#
Apply
Driver 1 day ago
≈ $62k – $121k per year (Estimated) · In office · 5+ years exp · High School Diploma · San Francisco
Apply
See all jobs
This is one of many
2,054,260 more open roles from verified company boards, updated every day.