Full-Time

Engineering Manager

Cloud

Confirmed live in the last 24 hours

Hayden AI

Hayden AI

51-200 employees

Autonomous traffic management platform using AI

Automotive & Transportation
Government & Public Sector
AI & Machine Learning

Senior

San Francisco, CA, USA

Requires in-office presence in San Francisco.

Category
Engineering Management
Software Development Management
Required Skills
Kubernetes
Python
React.js
Apache Kafka
Postgres
AWS
Go
Terraform
Requirements
  • A degree in Computer Science, Engineering, or a related field.
  • 7+ years of software engineering experience, with at least 2 recent years in front-line management.
  • Expertise in Golang or Python.
  • A strong understanding of distributed systems, databases (PostgreSQL), and event-driven programming (Kafka, SQS, SNS).
  • Exposure to frontend development technologies (e.g., React).
  • Experience with AWS/cloud technologies (Terraform, EKS/K8s, S3, EC2, Cognito, RDS, etc.) (a plus).
  • Strong people skills: empathy, conflict resolution, mentorship, and team building.
Responsibilities
  • You will inspire strong performers to go even further.
  • Your actionable feedback will help low performers to rise up.
  • You will use company goals to set clear goals for your team members.
  • You will hold the team accountable to them, and provide support to achieve them.
  • You will establish and run a day to day process within the team that will allow the team to ship high quality products while adhering to a predictable release schedule.
  • You will have to pragmatically combine elements of different software development methodologies to achieve that.
  • You will mitigate risks, eliminate bottlenecks, and focus relentlessly on productivity.
  • We expect you to be a customer voice in front of the team and a team voice in front of the customer.
  • You will work closely with Product Management and Customer Success organizations to accomplish that.
  • We expect you to be in the weeds, interacting with engineers on pull requests and design documents.

Hayden AI has created an autonomous traffic management platform that uses artificial intelligence to turn vehicles into mobile street sensors, collecting real-time data to improve urban mobility. This data helps transit agencies enforce dedicated bus lanes, enhancing safety and efficiency in public transportation. Unlike competitors, Hayden AI combines mobile sensors with citizen-driven data for a comprehensive view of traffic conditions. The company's goal is to make cities safer and more efficient through its patented technology.

Company Stage

Series C

Total Funding

$187.9M

Headquarters

Oakland, California

Founded

2019

Growth & Insights
Headcount

6 month growth

22%

1 year growth

30%

2 year growth

93%
Simplify Jobs

Simplify's Take

What believers are saying

  • Winning the Barcelona Innova Lab Mobility competition and launching pilots in European cities like Barcelona and Tallinn highlight Hayden AI's potential for international expansion.
  • The recent $90 million Series C funding led by TPG's The Rise Fund indicates strong investor confidence and provides ample resources for scaling operations.
  • Partnerships with Verra Mobility and other stakeholders enhance the platform's capabilities, making it a comprehensive solution for urban traffic management.

What critics are saying

  • The reliance on public transit agencies as primary clients could limit market diversification and revenue streams.
  • Integration challenges with existing city infrastructure and varying regulations across regions may slow down deployment and adoption.

What makes Hayden AI unique

  • Hayden AI's use of AI-powered mobile street sensors to create a digital twin of the city sets it apart from traditional traffic management solutions.
  • The company's focus on enforcing dedicated bus lanes and reducing operational costs for transit agencies provides a unique value proposition in the urban mobility sector.
  • Strategic partnerships with companies like Verra Mobility and significant funding rounds, including a $90 million Series C, bolster its competitive edge.

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