Job Description
Join to apply for the Senior Manager, Engineering - AI Agent role at Ironclad
Join to apply for the Senior Manager, Engineering - AI Agent role at Ironclad
Get AI-powered advice on this job and more exclusive features.
Ironclad is the leading AI-powered contract lifecycle management platform, processing billions of contracts every year.
Every business is powered by contracts, but managing them can slow companies down and cost millions of dollars. Global innovators like LOral, OpenAI, and Salesforce trust Ironclad to transform contracting into a strategic advantage - accelerating revenue, reducing risk, and driving efficiency. Its the only platform that manages every type of contract workflow, whether a sales agreement, an HR agreement or a complex NDA.
Were building the future of intelligent contracting and writing the narrative for how contracts unlock strategic growth.
Forrester Wave and Gartner Magic Quadrant have consistently recognized Ironclad as a leader in our category. Weve also been named one of
Fortunes Great Places to Work six years running, featured on
Glassdoors Best Places to Work , and recognized by
Forbes 50 Most Promising AI Companies .
Were backed by leading investors like Accel, Sequoia, Y Combinator, and BOND. Wed love for you to join us!
What You Will Be Doing: - As an Engineering Manager, you will be leading a team of talented, passionate engineers to build the future of digital contracting. You will be responsible for both defining and achieving the success of your team.
- Define and execute a technical roadmap that includes intelligent agents, retrieval-augmented generation (RAG), semantic search, automated reasoning, and ML-based decisioning within Ironclads platform.
- Manage and grow your engineering teamfoster a culture that blends modern AI/ML engineering excellence with pragmatic, product-focused delivery.
- Foster a culture of technical excellence - this involves having input and a pulse on the tradeoffs your team is making on a day to day basis and helping your team deliver high quality products that work at scale against tight timelines.
- Collaborate closely with AI/ML researchers, product managers, and designers to rapidly prototype, iterate, and ship production-grade AI features.
- Establish strong MLOps practices to support training, deployment, monitoring, and continuous improvement of ML models in production environments.
- Develop and deliver on an impactful roadmap - this involves partnering with the product manager, designers, managing cross-team dependencies, setting the vision for your team, ensuring every team member is bought in and is on the same page with respect to the why. Foster a culture of innovation and creativity Fix whats broken - Leaders at Ironclad speak up about things that are broken and contribute to organizational solutions and process changes.
- You will represent Ironclad to our prospects and customers that run the gamut from modern, category-defining companies to the Fortune 500. In partnership with design and product managers, you will build the world-class product development infrastructure and team that advances our vision to build the product that legal teams love. Best of all, youll be joining a company of smart, driven, and low-ego teammates from places like Salesforce, Facebook, Google, Palantir, DocuSign, and Harvard Law.
- Collaborate with designers, product managers, and other engineers to spec, design, and build features and systems
- Work with quality engineers to define, build and maintain testing strategy
- Provide thoughtful feedback to others on the team
- Help interview and recruit talented engineers to Ironclad
Key Skills: - Work on a modern stack built upon: TypeScript, ReactJS, Node.js, and Docker containers in Kubernetes on Google Cloud Platform (experience with these specific technologies not required)
- 2+ years of technical leadership or management experience in software engineering
- 5+ years of software experience architecting, building, launching and maintaining complex systems, ideally with hands-on exposure to machine learning, natural language processing, or applied AI (a formal degree is not required, we are prioritizing industry experience)
- Passion for software engineering to build and ship great product
- Familiarity with modern ML frameworks (e.g. PyTorch, TensorFlow), MLOps tools (e.g. Weights & Biases, MLflow, SageMaker), and vector database technologies (e.g. Pinecone, Weaviate, FAISS).
- Understanding of large language models (e.g. GPT, Claude, LLaMA), prompt engineering, and building with foundation model APIs (e.g. OpenAI, Anthropic, Hugging Face).
- A high bar for quality
- Passionate about mentoring, learning and sharing knowledge
- Strong cross-team communication and collaboration skills
- Ironclads Values: Drive, Intent, Integrity, and Empathy
Benefits: - Health, dental, and vision insurance
- 401k
- Wellness reimbursement
- Take what you need vacation policy
- Generous parental leave for both primary and secondary caregivers
Base Salary Range: $215,000 - $240,000 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 Ironclads 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.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Compensation Range: $215K - $240K
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
Technology, Information and Internet
Referrals increase your chances of interviewing at Ironclad by 2x
Sign in to set job alerts for Senior Engineering Manager roles.
Alameda, CA $169,300 - $338,700 2 weeks ago
Director/Senior Director, Machine Learning and Engineering
San Francisco, CA
$225,000.00
-
$250,000.00
3 weeks ago
San Mateo, CA
$173,600.00
-
$282,100.00
1 week ago
Oakland, CA
$162,131.00
-
$245,629.00
1 week ago
Head of Engineering (Director/VP) - VC Backed Startups
San Francisco, CA
$180,000.00
-
$300,000.00
3 months ago
Director of Engineering, Revenue Cycle Management
San Mateo, CA
$200,000.00
-
$350,000.00
4 days ago
San Francisco, CA
$186,300.00
-
$269,075.00
3 days ago
San Francisco, CA
$300,000.00
-
$375,000.00
2 weeks ago
San Francisco, CA
$300,000.00
-
$450,000.00
1 day ago
Oakland, CA
$195,000.00
-
$235,000.00
1 week ago
San Francisco, CA
$185,200.00
-
$274,400.00
4 days ago
San Francisco, CA
$275,000.00
-
$300,000.00
2 weeks ago
Senior Engineering Manager, Adobe Firefly
San Francisco, CA
$154,700.00
-
$320,000.00
2 days ago
Senior Engineering Manager - Data Platform
San Mateo, CA $204,000 - $255,000 2 weeks ago
Senior Manager, Software Engineering - Slack AI
San Francisco, CA $200,800 - $276,100 2 weeks ago
Senior Engineering Manager, Core Experience
San Francisco, CA $193,000 - $260,000 2 weeks ago
San Francisco, CA $264,000 - $342,000 2 days ago
Senior Engineering Manager - HRIS Company Team
San Francisco, CA $186,000 - $325,500 4 months ago
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Job Tags
Full time, Contract work,