[Remote] Engineering Manager - Reporting at Rad AI

United States

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Not SpecifiedCompensation

N/AExperience Level

N/AJob Type

Not SpecifiedVisa

N/AIndustries

Requirements

7+ years of engineering experience
Minimum 2+ years of engineering management experience
Experience leading cross-functional product engineering teams focused on shipping with quality
Ability to understand KPI and business metrics; identify and scope product feature work to maximize business impact
Prior experience in performance management; mentor and guide professional and technical development of team members
Bias to take action; use data to justify actions and make decisions that move the business forward
Expertise in growing teams and recruiting engineers across multiple disciplines with effective onboarding
Ability to plan ahead for obstacles, communicate risks clearly, and provide actionable directives
Value-driven leadership philosophy that supports and uplifts each team member

Responsibilities

Report to the Director of Engineering and manage a team of software engineers at various levels
Cross-functionally partner with platform engineering, ML, and product management to advance features
Bring clarity to ambiguous situations and ensure feature development aligns with long-term KPI improvements
Invest in individual growth, enabling the team to deliver with quality and confidence
Collaborate with senior leadership to chart strategic direction based on vital business metrics
Prioritize clear, constructive feedback to keep the team aligned and empowered
Mentor, support career development, and manage performance of team members
Remove obstacles and maintain lean processes to increase productivity

Skills

Rad AI

AI-driven software for radiology workflows

About Rad AI

Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in radiological practices. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and improves reporting accuracy. This software integrates seamlessly into existing workflows, making it easier for radiologists to manage their tasks. Unlike competitors, Rad AI emphasizes data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide reliable AI-driven solutions that streamline healthcare processes and improve patient outcomes.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$76.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Health Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Paid Holidays

Remote Work Options

Unlimited Paid Time Off

Risks

Emerging competition from companies like DeepMind could overshadow Rad AI's offerings.

Rapid AI technology evolution requires Rad AI to continuously innovate.

AI-driven automation may face resistance from the medical community.

Differentiation

Rad AI's Omni Reporting won 'Best New Radiology Software' by AuntMinnie.

Rad AI integrates AI with FHIRcast for enhanced radiology workflow interoperability.

Rad AI is a pioneer in using large language models for radiology report generation.

Upsides

Rad AI achieved a 48% increase in radiograph reporting efficiency at RANT.

Rad AI raised $50M in Series B funding, boosting its expansion capabilities.

Strategic collaboration with AGFA HealthCare enhances Rad AI's market position.

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