Ironclad Logo

Ironclad

Technical Lead Manager, AI Platform

Posted Yesterday
Be an Early Applicant
Hybrid
San Francisco, CA, USA
188K-235K Annually
Entry level
Hybrid
San Francisco, CA, USA
188K-235K Annually
Entry level
Lead and grow an engineering team building production generative AI systems. Set technical direction, own the roadmap and quality standards, make architectural decisions, contribute production code, and manage reliability and output-quality evaluation. Partner with product and engineering leaders to deliver business outcomes, prioritize work, hire and mentor engineers, and manage performance and career development. The role requires expertise in LLM systems, NLP, document understanding, retrieval, agent frameworks, or ML infrastructure.
The summary above was generated by AI

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.

HQ

Ironclad San Francisco, California, USA Office

71 Stevenson St, Ste. 600, San Francisco, CA, United States, 94105

Similar Jobs

One Month Ago
In-Office
San Francisco, CA, USA
250K-350K Annually
Expert/Leader
250K-350K Annually
Expert/Leader
Artificial Intelligence • HR Tech • Professional Services • Software
Own the AI Platform engineering team while remaining hands-on in production machine learning. Lead matching, ranking, retrieval, personalization, agentic workflows, trust and safety, evaluation, and model quality optimization. Hire and develop applied AI and ML engineers, set technical direction, translate business goals into roadmaps, and deliver systems that improve match quality, automation, and hiring velocity.
Top Skills: Agentic Ai SystemsEmbeddingsLarge Language Models (Llms)Machine LearningRanking ModelsRecommendation SystemsRetrieval SystemsSQL
An Hour Ago
In-Office
126K-165K Annually
Expert/Leader
126K-165K Annually
Expert/Leader
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads safety, strategy, financial performance, governance, operations, customer relationships, and service delivery across a defined geographic or business area. Oversees project teams, budgets, cost-efficiency initiatives, compliance, execution quality, performance reviews, coaching, customer escalations, and adjacent sales opportunities. Requires extensive project management and leadership experience with financial responsibility, strong stakeholder management skills, and regional travel as needed.
An Hour Ago
Hybrid
San Jose, CA, USA
249K-399K Annually
Expert/Leader
249K-399K Annually
Expert/Leader
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Lead AI-powered reporting and insights strategy, design reporting data architecture and pipelines, and implement LLM-powered workflows (RAG, prompt engineering, agentic pipelines). Integrate BI tools and enterprise AI platforms, establish governance for AI outputs, and provide technical leadership to deliver trusted executive insights and scalable self-service reporting.
Top Skills: AnthropicAws BedrockAzure OpenaiDatabricksDelta LakeFlinkGoogle Vertex AiIcebergLangchainLlamaindexLlmLookerPythonRagSnowflakeSparkSQLTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account