Engineering Manager, Connectivity

3 Months ago • 7-10 Years • Software Development & Engineering • $212,000 PA - $254,400 PA

Job Summary

Job Description

As an Engineering Manager, you will lead the Connectivity Team in integrating the platform with external systems, ensuring seamless connectivity. Your responsibilities will include driving the strategy, architecture, and development of connectivity solutions. You will be involved in building features end-to-end, collaborating with cross-functional teams, mentoring engineers, and working across the entire product lifecycle. This role demands excellent problem-solving skills and the ability to thrive in a fast-paced environment. You will also be responsible for influencing the culture and processes of the engineering team.
Must have:
  • Shipping high-quality products at scale
  • Turning business ideas into engineering solutions
  • Excellent problem-solving skills, independent or team work

Job Details

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About Data Engine

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

 

About our Connectivity team: 

Our Connectivity Team plays a pivotal role in integrating our platform with external systems and ensuring seamless, reliable connectivity for both operators and customers. As the leader of this team, you’ll drive the strategy, architecture, and development of our connectivity solutions, focusing on API integration, distributed systems, and a robust data platform. Your role will be crucial in maintaining and enhancing our platform’s ability to meet the needs of both our internal and external stakeholders.

 

 

Responsibilities:

  • Own large areas within our product
  • Comfortable working cross functionally, whether that be internal or external customers
  • Build features end-to-end: front-end, back-end, system design, debugging and testing
  • Deliver experiments at a high velocity and level of quality to engage our customers
  • Work across the entire product lifecycle from conceptualization through production
  • Influence the culture, values, and processes of a growing engineering team
  • Inspire and mentor less experienced engineers
  • Collaborating with cross-functional teams to define, design, and ship new product features and experiences.

Requirements:

  • At least 7-10 years of relevant experience is preferred
  • Track record of shipping high-quality products and features at scale
  • Desire to work in a very fast-paced environment
  • Ability to turn business and product ideas into engineering solutions
  • Excellent problem-solving skills, and be able to work independently or as part of a team.
  • Excited to join a dynamic, hybrid team in either San Francisco or New York City

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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About The Company

San Francisco, California, United States (Hybrid)

San Francisco, California, United States (Hybrid)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

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