Manager, AI Engineering

Roofstock
Oakland, CA, US
$167K-$196K a year
Full-time

Job Description

Job Description

What we do and why we do it

As the leading end-to-end investment platform for single-family rental homes (SFR), our mission is to make real estate investing radically accessible, cost effective, and simple.

We successfully merge our passion for helping investors build wealth through real estate with cutting edge technology that transforms the way they do it.

How it's going (and growing)

With a talented team of 600+ Roofsters, our collaborative, can-do culture is what fuels our growth. In 2022, we closed on our Series E, raising $240 million, and have offices in California, Texas, and New York as well as many remote opportunities.

Our growth includes recent acquisitions of Great Jones (full-service property management), Stessa (financial management software) to empower customers with a seamless way to acquire, manage, and track their investment properties on one platform, RentPrep (tenant screening and placement service for landlords), and Mynd (property management platform for both Retail and Institutional investors).

About the role :

We are looking for an experienced Engineering Manager to join our team. You will be leading a team of AI Engineers focused on GenAI infrastructure and applications.

You will partner with leaders in our Product, Data and Engineering teams to refine and execute on our GenAI strategy.

Your responsibilities will spread across People, Process and Technology. You will drive your team including recruiting, coaching, and performance management.

You will recommend and refine the engineering processes to establish accountability and performance. You will work with your engineers to develop a technical strategy to build for maintainability and scale, while promoting innovative opportunities across the team.

This role reports to the VP of Data within the Data organization. Data is centralized within Roofstock and provides solutions for all of our applications and business to utilize.

Responsibilities

  • Build and manage an engineering team across multiple time zones / countries.
  • Cultivate high standards for communication, ownership, and quality while executing asynchronously.
  • Develop future technical leaders by fostering technical and people skills development while identifying opportunities for mentorship and training.
  • Ensure team tasks are transparent, organized, on schedule and expectations are managed.
  • Ensure team processes and documentation are adhered to and improved upon.
  • Partner with other leaders to refine and deliver on our GenAI strategy building both infrastructure for other teams / applications to utilize and zero to one point solutions.
  • Be a strong voice of clarity in a world of a growing startup, and teach your teams to function when faced with ambiguity.

About you

  • 5+ years as an individual contributor engineer.
  • 3+ years managing engineering teams.
  • Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
  • Strong experience building AI applications, ideally GenAI based utilizing Agents, RAG and LLMs.
  • Experience with Java, Python, distributed systems design (microservices), and data assets.
  • Ability to understand, diagnose, and effectively articulate technical challenges and solutions.
  • Deep understanding of Processes, and how to build and iterate within a high-performing team.
  • Empathy for individuals on the team, the ability to have hard conversations, demand and achieve high performance, and prioritize a culture that leads to sustained success.
  • Flexible to find ways to apply software best practices to non-deterministic solutions.

Location

Remote - Domestic US Only

Compensation

$167,000 - $196,000 on annual base salary. The compensation range may be adjusted based on experience and location.

Pay Transparency

Our compensation reflects several US geographic markets. The base pay for this position represents the expected salary for this position.

Ultimately, in determining your pay it will be based on several factors including location, job-related knowledge, skills, experience and other job related factors.

Roofstock is a total compensation company; the base salary is only part of our total compensation package.

Competitive & Unique Benefits Package

  • Generous PTO Policy
  • 13 Paid Holidays
  • Volunteer Time Off
  • Paid Parental Leave
  • 401k Program
  • Wellness and home office / cell phone subsidies
  • Robust health, dental, vision insurance, and more

Must be authorized to work in the U.S. is a precondition of employment and we are unable to sponsor H1-B Visas at this time.

Any offer of employment is conditioned upon the successful completion of a background investigation.

Commitment to Equal Employment Opportunity

Roofstock is an equal opportunity employer. In keeping with the values of Roofstock, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and / or weight.

LI-REMOTE

LI-VS-1

26 days ago
Related jobs
Promoted
VirtualVocations
Oakland, California

A company is looking for a Senior Manager Consumer AI/ML Engineering. ...

Promoted
Roofstock
Oakland, California

We are looking for an experienced Engineering Manager to join our team. You will be leading a team of AI Engineers focused on GenAI infrastructure and applications. You will partner with leaders in our Product, Data and Engineering teams to refine and execute on our GenAI strategy. You will work wit...

Promoted
VirtualVocations
Oakland, California

A company is looking for an AI / ML Engineering Senior Manager to lead the development of AI capabilities in their product and platform. ...

Capital One
San Francisco, California
Remote

Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. Center 3 (19075), United States of America, McLean, VirginiaSenior Manager, Generative AI Product Engineering - People Leader - (Remote Eligible). We are committed to building world-class applied scie...

Zynga
San Francisco, California
Remote

AVAILABLE POSITIONS Engineering Manager – Applied AI. Zynga’s Applied AI group focuses on developing innovative ways to tackle problems within the game development process, demonstrating directly the ways that AI can improve the creativity and efficiency of team members across Zynga. Our team is mul...

Adobe
San Francisco, California

Oversee, manage, and maintain engagements between Research, Product, Applied ML, and Design organizations, from strategy to tactical execution. Come join us to help invent the future of video creation! Generative AI is reducing the gap between idea and produced video. This is the future we aim to cr...

Sephora
San Francisco, California

As Manager of Machine Learning engineering team, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels. This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and ML initiatives...

Amazon Web Services, Inc.
San Francisco, California

As Community Manager for the AWS AI Engineering hub, you will be responsible for community engagement and partnership strategy for a new AI Community hub in downtown San Francisco which will become the center of the Bay Area AI tech scene. Create partnerships with Bay Area tech firms as well as othe...

SoFi
San Francisco, California

Experience with cloud-based machine learning and AI platforms such as AWS (SageMaker, Lambda) and Snowflake with a focus on GenAI model training, deployment, and monitoring. We are seeking an experienced, hands-on Senior Data Specialist to join the Risk Engineering Artificial Intelligence AI team. D...

Square
San Francisco, California

We’re looking for an enthusiastic and experienced Engineering Manager to lead our AI-driven initiatives, focused on enhancing engineering velocity. Drive alignment with Block’s AI strategy by acting as a company AI expert and educating other teams about how to apply cutting-edge AI to their domains....