663,523open jobs
38,718companies
99,026added this week
Browse all
Salary
$160k – $200k per year
Location
In office (San Francisco)
Seniority
Staff · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.

About the Role

This is a foundational legal operations role at a fast-growing AI infrastructure company in the reinforcement learning and model evaluation space. You will own the entire legal operating system, from intake to outside-counsel coordination, and play a direct role in making legal work scalable as commercial volume and complexity grow. It is a hands-on, systems-oriented position that blends contracting work with process design.

What You'll Do

  • Own the end-to-end legal workflow, including intake, prioritization, approvals, escalation paths, document management, and outside-counsel coordination.

  • Draft, review, and negotiate commercial agreements with buyers, data vendors, and partners, including MSAs, SOWs, data licenses, SLAs, NDAs, and vendor contracts.

  • Build and refine contract templates and negotiation playbooks to handle recurring issues such as data rights and usage restrictions quickly and consistently.

  • Identify opportunities to automate or streamline high-volume legal workflows using software and AI, while preserving human judgment for complex matters.

  • Establish clear decision rules for what stays internal, what can be standardized or automated, and what escalates to founders or outside counsel.

  • Manage outside counsel strategically to control spend, scope work efficiently, and reserve external lawyers for high-value or specialist matters.

What We're Looking For

  • Law degree required (LLB or equivalent; EU bachelor of law is acceptable).

  • 5 or more years of experience in legal operations, contracts management, commercial operations, or transactional legal work at a fast-growing technology company.

  • Demonstrated ability to draft, review, and negotiate commercial technology agreements, with sound judgment on routine versus specialist issues.

  • Hands-on experience with US commercial contracting conventions.

  • Experience building or scaling legal operations, contract management, or deal desk functions from an early stage.

  • Ability to design and implement legal workflows, intake systems, document management processes, and approval frameworks.

  • Experience managing outside counsel relationships, including scoping, spend control, and escalation decisions.

  • Strong commercial judgment to balance legal risk against speed and business priorities.

  • Comfort with legal technology platforms, workflow automation tools, and AI; genuine interest in using them to scale legal work.

  • Experience with data licensing, IP-intensive transactions, marketplaces, or businesses where contractual rights tie closely to product functionality is a plus.

  • Experience working independently in fast-paced, early-stage startup environments is a plus.

Compensation & Benefits

Base salary in the range of $160,000 to $200,000 USD annually, plus equity and comprehensive benefits including medical, dental, and vision coverage, 401k, commuter benefits, and access to leading AI tools. Visa sponsorship and relocation support are available for strong candidates.

Location

On-site in San Francisco, CA or Singapore.

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.
663,523 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

Similar stack
Same company
San Francisco
$160k – $180k per year • Remote • 6+ years exp • Bachelor's Degree
Python
SQL
Databases
Snowflake
Databricks
Apache Kafka
Google BigQuery
BigQuery
AI/ML
Hadoop
Spark
MLFlow
Reinforcement Learning
Scikit-learn
Computer Vision
Kubeflow
TensorFlow
Pandas
NumPy
PyTorch
Explainable AI
Feature Store
Recommender Systems
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Analytics
ETL/ELT
Management
Agile
Apply
$155k – $180k per year • Remote • 6+ years exp • Master's Degree
Python
AI/ML
RLHF
Reinforcement Learning
AI Agents
Reward Modeling
Robotics
Reinforcement Learning
Apply
$200k – $230k per year • Remote • 10+ years exp • PhD
Python
AI/ML
Fine-tuning
RLHF
Reinforcement Learning
Multimodal AI
Knowledge Distillation
PyTorch
LLM
Synthetic Data
DPO
FSDP
Model Distillation
Apply
$130k – $180k per year • Remote • 10+ years exp • Bachelor's Degree
Python
AI/ML
RLHF
Reinforcement Learning
JAX
AI Agents
TensorFlow
PyTorch
LLM
Stable-Baselines3
ML-Agents
Ray
RLlib
Gymnasium
OpenAI
Reward Modeling
DevOps
GCP
Azure
CI/CD
AWS
Docker
Kubernetes
Robotics
NVIDIA Omniverse
Isaac Sim
MuJoCo
Imitation Learning
Reinforcement Learning
Apply
Data Science 1 day ago
$88k – $214k per year (Estimated) • In office • 5+ years exp • Master's Degree
Python
SQL
Python
pySpark
AI/ML
Cursor
Claude
Spark
Reinforcement Learning
Recommender Systems
Apply
$80k – $100k per year • In office • Full-Time • 1+ year exp • San Francisco
Marketing
LinkedIn
Apply
$55k – $80k per year • In office • Full-Time • Stockholm
Apply
$100k – $150k per year • In office • Full-Time • 2+ years exp • San Francisco
Marketing
X (Twitter)
LinkedIn
Apply
Account Executive 1 day ago
$81k – $150k per year • In office • Full-Time • 1+ year exp • Bachelor's Degree • Munich
Marketing
Salesforce
Apply
$39k – $75k per year (Estimated) • In office • Full-Time • 1+ year exp • Berlin
Marketing
Meta Ads
LinkedIn Ads
Google Ads
LinkedIn
Apply
$163k – $204k per year • Remote • 7+ years exp • San Francisco
Apply
$128k – $192k per year • Equity • In office • Full-Time • 1+ year exp • San Francisco • Pleasanton
Apply
Investment Officer 1 day ago
$129k – $223k per year • In office • Full-Time • 5+ years exp • Bachelor's Degree • San Francisco
Apply
$152k – $327k per year (Estimated) • In office • 13+ years exp • San Francisco
AI/ML
OpenAI
Anthropic
Management
Stripe
Apply
$152k – $279k per year (Estimated) • Remote/Hybrid • Full-Time • 12+ years exp • Associate's Degree • Chicago • Milwaukee • Dallas • Columbus • Kirkland
Python
JavaScript
Node JS
AI/ML
LLM
Frontend
React.js
DevOps
Terraform
AWS CDK
Azure
AWS
Docker
Kubernetes
Platform Engineering
Amazon EKS
AWS Fargate
AWS Lambda
Amazon EC2
HPC
Apply
See all jobs
This is one of many
663,523 more open roles from verified company boards, updated every day.