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    Engineering Manager - San Francisco, United States - Robust Intelligence

    Robust Intelligence
    Robust Intelligence San Francisco, United States

    3 weeks ago

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    Description
    About the role
    Robust Intelligence builds products to ensure the safe deployment of AI systems. Our software is deployed as a service across all major cloud providers as well as to on-prem servers. Our clients' Data scientists and ML Ops engineers are the first users of our product, and we strive to make their experience deploying our product as smooth as possible. At Robust Intelligence, you'll have the power to influence our engineering culture and learn a lot about other parts of the company beyond your role, including robust machine learning and ML Ops.

    Responsibilities

    • Directly manage a development team focused on projects related to our Enterprise platforms on multiple clouds (AWS, GCP, and on-prem)
    • Work closely with Product Managers, ML/DevOps/devtest teams contributing to cross-functional projects, and help plan and scope future projects.
    • Establish development processes, continuous integration, and release processes. Drive execution in conjunction with the above teams to ensure that we are achieving product development milestones. Keep the team and exec team aligned on the execution progress.
    • Work with customers to understand their deployment needs and evolve our offering to better accommodate the needs.
    • Help grow the team and help the career growth of the team members.

    Skills and Experience

    • 1+ years people management experience
    • Proven expertise in managing projects throughout the entire SDLC, delivering products to market on schedule, and ensuring feedback loops from customers into development
    • Two or more years of technical lead or management experience while staying hands-on in the development
    • Experience managing infrastructure deployed to at least one of the major public cloud providers (AWS, GCP, Azure).
    • Proficiency in programming languages, scripting languages, version control systems, and continuous integration systems
    • Individuals who are eager to learn and take on new challenges.
    • Individuals with excellent oral and written communication skills.
    • Strong customer focus
    • MS in Computer Science or equivalent
      • As a Plus:
    • Industry experience with Kubernetes and Docker
    • Experience with Go, Python, Terraform, and Github.
    • ML and ML Ops experience
    Robust Intelligence (RI) is a people-first company. We offer an array of perks and benefits that ensure our employees health and well-being. With RIs in-office company culture, we offer our employees free daily lunches and dinners (if you are working late), free snacks and beverages, commuter benefits, and an office gym. Our leaders recognize that all of our employees are humans first. Employees at the company are parents, pet owners, siblings, and more. Hence, RI ensures that employees have the benefits and resources needed to spend time with their families and live a fulfilling life outside of work. Benefits include a flexible time off policy, paid parental/family leave, child care allowance, 401(k) retirement plan, and market-leading health, dental, and vision insurance for employees and dependents. We also have an education reimbursement program for individual learning.
    What we offer: We offer the opportunity to significantly contribute to shaping AI's future. This opportunity is a collaborative effort between impossibly talented individuals who share a passion for this mission. Our biggest asset is inclusion, as building a diverse community is the key to succeeding in our mission. In addition to the goal and environment we offer: - Competitive salary and company ownership through equity - Market-leading health, dental, and vision insurance for employees and dependents - Flexible Time Off Policy and Paid Parental/Family Leave - Education reimbursement program for Individual Learning - 401(k) Retirement plan - Commuter benefits - Immigration sponsorship - H1B and Green Card - Company lunches, dinners, and kitchens stocked with snacks and drinks - On-site gym and wellness program
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