Location- open to 100% remote

Want to empower digital business through Real Time analytics delivered as a service? Passionate about putting the power of machine data analytics in the hands of everyone by unifying all data types, enabling universal access, and leveraging cloud economics - all this from a single, unified platform delivered and consumed as a service? Come talk with us!

As a Senior Engineering Manager for the Core AI team, you will lead the Core AI team in the development of innovative ML/AI-powered product capabilities. This team collaborates closely with other Product Development teams and works through the entire feature lifecycle including ideation, dataset construction, experimental validation, prototyping, production implementation, deployment, and operations. This team also acts as an overall center of excellence for ML/AI expertise within the company, and is responsible for reusable ML/AI platform components and services.

You are an experienced hands-on leader with a track record of shipping production ML/AI capabilities that deliver demonstrable customer value. You have technical depth and breadth across ML/AI fundamentals, data management, and modern cloud-based software architectures. You are capable of context-switching between advising an ML Engineer on troubleshooting model accuracy, driving team-level quarterly planning and execution, and working with PM and UX colleagues to determine how users should interact with ML/AI outputs for a new feature.

What will you be doing?

• Lead a development team responsible for ML/AI-powered customer experiences
• Provide technical oversight for the team ensuring best practices are followed and elegant solutions are pursued and delivered.
• You will provide mentorship enabling continued career growth for team members.
• You have experience constructing and maintaining development roadmap, leading agile development practices and ensuring team performance is world class.
• Navigating and managing uncertainty

Required Qualifications and Skills

• B.S./M.S./Ph.D. in Computer Science or related disciplines
• Excellent collaboration and communication skills, working with stakeholders across geographies.
• 6+ years developer + manager experience combined with 2+ years experience managing/leading development team(s)
• Past experience software engineering production-grade services
• Experience formulating use cases as ML problems and putting ML models into production
• Knowledge of and/or curiosity to learn about specific Sumo Logic customer problem domains
• Operational excellence orientation: SLIs/SLOs, monitoring and troubleshooting, on-call rotations
• Solid grounding in core ML concepts, basic statistics, and the judicious use of abstraction
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About Us

Sumo Logic, Inc., empowers the people who power modern, digital business. Sumo Logic enables customers to deliver reliable and secure cloud-native applications through its SaaS analytics platform. The Sumo Logic Continuous Intelligence Platform helps practitioners and developers ensure application reliability, secure and protect against modern security threats, and gain insights into their cloud infrastructures. Customers worldwide rely on Sumo Logic to get powerful Real Time analytics and insights across observability and security solutions for their cloud-native applications. For more information, visit www.sumologic.com.

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The expected annual compensation range for this role is $200-$230k + bonus + equity. Compensation varies based on a variety of factors which include (but aren't limited to) role level, skills and competencies, qualifications, knowledge, location, and experience. In addition to base pay, certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, and equity awards.

Other details

• Health, Dental, Vision- Insurance
• 401k and Life Insurance options
• Unlimited PTO with 15+ days of recognized holidays
• Quarterly Wellness days
• 100% remote with the option to be in the office if you want (Bay Area, Austin, Denver, NYC)
• 3 months of paid parental leave