Sumo Logic
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Lead product strategy and execution for observability data and reliability surfaces (logs, metrics, traces, dashboards, monitors, alerts, SLOs). Own roadmap and health of live products while building AI-assisted, agentic investigation workflows that reason across telemetry and enforce enterprise governance (RBAC, audit, cost). Drive alerting accuracy, noise reduction, query performance, telemetry-driven insights, and cross-team execution through PRDs, acceptance criteria, and phased rollouts.
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Lead product strategy and execution for observability investigation and reliability: own logs, metrics, traces, dashboards, alerts, SLOs, and agent-assisted workflows. Drive roadmap, alert accuracy, noise reduction, AI-assisted investigation, governance (RBAC/audit/cost), and cross-team execution while using telemetry and proposals to guide decisions.
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Own the full sales cycle for a defined mid-market territory (companies <1,500 employees): prospect, demo, forecast, and close SaaS deals. Manage pipeline, partner with internal teams to ensure customer success, and consistently hit quota while selling to technical audiences (IT operations, Security, DevOps).
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Sell Sumo Logic to mid-market accounts (<1,500 employees). Own full sales cycle from prospecting to close, manage pipeline and forecasts, perform web product demos, hit quota, and partner with internal teams to ensure customer success.
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Roles include Customer Success Specialist and Technical Support Engineer, focusing on retention, renewals, and technical issue resolution in SaaS.
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Sumo Logic is seeking talented sales professionals for potential roles, valuing communication skills, problem-solving abilities, and experience in sales.
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The Senior Site Reliability Engineer will improve operational excellence of observability and security products, optimize cloud resource use, and enhance developer efficiency.
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Sell Sumo Logic's platform to mid-market accounts (<1,500 employees) owning the full sales cycle from prospecting to close. Manage territory, build pipeline, deliver forecasts and demos, partner with internal teams, and consistently achieve quota.
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Sumo Logic invites candidates to join their talent pipeline for future engineering roles, focusing on cloud-native engineering, distributed systems, and data security.
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Lead product-area reliability efforts for planet-scale observability and security products. Define and execute reliability roadmaps, manage SLOs, reduce operational toil via automation, participate in on-call rotations and incident RCA, collaborate across infra and engineering teams, write production code, and hire/mentor SREs.
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Lead reliability for product-area microservices: define and execute reliability roadmaps, manage SLOs, reduce operational toil via automation, participate in on-call, run RCA and incident coordination, mentor hires, and improve security and efficiency across cloud-native systems.
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Sell Sumo Logic’s SaaS observability and security platform to new and existing enterprise customers. Qualify leads, run demos with Pre-Sales, manage full sales cycle, engage channel partners, forecast revenue, and collaborate with Customer Success and product/marketing teams. Fluent German and English required.
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The role involves enhancing operational excellence in cloud product reliability, optimizing microservice operations, and collaborating on reliability roadmaps and automation.
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As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.
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The Sales Engineer will partner with Account Executives to address customer challenges, articulate technical solutions, and facilitate the sales cycle through demonstrations and technical validations, while working cross-functionally to enhance products.
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The Mid-Market Account Executive will manage sales processes, generate leads, provide product demos, and maintain customer satisfaction in B2B applications.
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Drive revenue by managing full enterprise sales cycle: prospecting, qualification, demos, forecasting, and closing mid-to-large enterprise accounts for a machine data analytics/SIEM SaaS platform. Provide customer satisfaction, develop greenfield territory, collaborate with product/engineering/marketing, and meet aggressive quota targets.
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Lead global SRE and Application Security programs to ensure availability, reliability, and security. Define strategies, manage SLOs and error budgets, direct threat modeling and penetration tests, integrate security solutions, reduce operational workload through automation, and grow a global SRE team while partnering on technical vision and cross-functional initiatives.
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Lead a global team focusing on site reliability and application security, ensuring product uptime, security compliance, and operational excellence while mentoring engineers and collaborating with stakeholders.
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The Senior Machine Learning Engineer will design and optimize AI components, collaborate across teams, and ensure the performance of AI agents while focusing on delivering effective data insights.



