below marketmost similar roles pay hereabove market
This role pays more than
89%
of similar roles. Most pay
$160,000–$235,750
— the blue band above.
At the midpoint, this role pays about
$287k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About Robinhood
Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App
Robinhood currently has
53 open roles
on FindRole.
Listed pay typically runs
$196,000–$230,000
across 46 roles with salary data.
The Senior Engineering Manager - Agent Experience joins the Customer Experience Engineering team to lead a high-performing group of fifteen engineers. This leader oversees the engineering execution for Concierge, a zero-to-one private wealth product for high-net-worth customers. Daily responsibilities include managing hiring, performance, and career development while partnering with product managers and data scientists to define and execute the product roadmap. The role involves driving the delivery of complex, AI-powered financial planning tools and maintaining service reliability standards for consumer-grade systems. Key technical competencies include experience with iOS, Android, web, backend, and LLM/AI systems. The position requires navigating ambiguity to build premium features natively within the app, ensuring technical excellence and proactive quality measures for high-risk, customer-facing financial products in a fast-moving environment.
What does a Engineering Manager earn in California?
Median $281300 from 82 postings across 23 companies.
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Reinforcement Learning
RLHF
RLAIF
Natural Language Processing
Distributed Systems
Machine Learning
Model Alignment
Chain-of-Thought
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Natural Language Processing
Machine Learning
Reinforcement Learning
RLHF
RLAIF
Distributed Systems
Model Alignment
Chain-of-Thought
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines
Private Cloud Compute
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Reinforcement Learning
Natural Language Processing
Distributed Systems
Machine Learning
Chain-of-Thought
Model Alignment
RLHF
RLAIF
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines
On-device Intelligence
Agentic AI
Large Language Models
Retrieval-Augmented Generation (RAG)
Natural Language Processing
Machine Learning
Reinforcement Learning
RLHF
RLAIF
Distributed Systems
Model Alignment
Chain-of-Thought
Orchestration Frameworks
Evaluation Frameworks
Observability Systems
Continuous Learning Pipelines