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Observability Manager Jobs in Missouri (NOW HIRING)

401 Cast & Crew LLC

QA Manager

California, MO · On-site +1

Partner with Platform and DevOps teams to improve test environments, observability, and developer ... management experience. Strong hands‐on automation engineering experience building and scaling ...

401 Cast & Crew LLC

QA Manager

California, MO · On-site +1

Partner with Platform and DevOps teams to improve test environments, observability, and developer ... management experience. Strong hands‐on automation engineering experience building and scaling ...

Jobtailor

Senior Product Manager - AIOps

California, MO · On-site

$140 - $240/hr

Direct experience working with an observability or operations-focused product * 8+ years of ... Experience in Product Management in a large global organization Certifications & Qualifications ...

New

Yuno

Remote, Europe Full Time Experienced Engineering Manager +6 Years of Experience Who We Are At Yuno ... Knowledge of data quality, observability, and governance principles. * Champion of AI-first ...

Jobgether

Design and architect enterprise observability solutions using cloud-native technologies ... Familiarity with CRM tools such as HubSpot, technical content creation, open-source contributions ...

New

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Observability Manager information

What is the difference between Observability Manager vs Site Reliability Engineer?

AspectObservability ManagerSite Reliability Engineer
CredentialsTypically requires experience in monitoring, logging, and cloud tools; certifications like AWS, Google Cloud, or Kubernetes are commonRequires strong background in systems engineering, scripting, and cloud platforms; certifications like AWS, GCP, or Linux are often preferred
Work EnvironmentFocuses on overseeing observability tools, data analysis, and team coordination in tech environmentsHands-on role involving system automation, incident response, and infrastructure reliability
Industry UsageUsed across tech companies to improve system visibility and performanceCommon in DevOps and SRE teams to ensure system reliability and uptime

The Observability Manager primarily oversees monitoring and logging strategies, ensuring system visibility, while the Site Reliability Engineer is more hands-on, focusing on automating infrastructure and maintaining system reliability. Both roles require technical expertise and often collaborate closely but differ in scope and daily responsibilities.

What are the most commonly searched types of Observability jobs in Missouri? The most popular types of Observability jobs in Missouri are:
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What cities in Missouri are hiring for Observability Manager jobs? Cities in Missouri with the most Observability Manager job openings:
Observability Manager jobs near you

Senior Product Manager, Scale Test

Jobtailor

California, MO • On-site

$140 - $170/hr

Other

Posted 3 days ago

New

Job description

Responsibilities
  • Serve as the primary PM interface for enterprise customers running Scale Test, working closely with them through complex, time-sensitive testing windows to gather deep technical feedback
  • Partner with ISVs, SIs, and GovCloud customers to understand their unique testing requirements (e.g., data residency, compliance, FedRamp) and drive feature development accordingly
  • Translate complex enterprise customer scenarios — from Hyperforce migrations to Agentforce go-lives to peak load events — into clear, prioritized product specs and user stories
  • Own the prioritized roadmap for Scale Test — covering test plan creation, test scheduler, test execution, load generation, UI script recorder/builder, and AI-powered features (Scale Agent, AI Script Healing)
  • Own end-to-end product strategy, roadmap, and delivery for Scale Test across multiple engineering teams (managed load generation, analytics platform, DevOps integration)
  • Define and drive the Agentforce testing strategy — understanding how customers build and validate Agentforce implementations at scale and driving features to support their go-lives
  • Lead the Vibe Testing capabilities roadmap: enabling PMs, admins, and non-engineers to intuitively define, run, and interpret performance tests through natural language and AI-guided flows — reducing reliance on scripting expertise and democratizing scale testing across teams
  • Drive the Pilot-to-GA pipeline for cutting-edge capabilities including Scale Agent (AI assistant for test analysis), Load Generation, and AI Script Healing
  • Stay ahead of industry trends in performance testing, AI/Agentforce workload patterns, cloud infrastructure, and enterprise DevOps practices
  • Work across Salesforce product teams (Agentforce, Data Cloud, Hyperforce, Platform) to ensure Scale Test integrates effectively and is positioned as a required step in every major go-live
  • Partner with Sales, AEs, CSMs, and Solution Architects on GTM strategies — including sales plays, competitive positioning, customer enablement, and new market expansion
  • Collaborate with the enablement team on Trailhead modules, internal FAQs, sales canvases, and persona‑based selling guides
  • Drive sprint planning, feature scoping, and launch readiness across engineering and research teams
  • Define success metrics and monitor product KPIs — including RPS thresholds tested, scale test days consumed, customer satisfaction, and renewal rates
  • Represent Scale Test at customer conversations, TDX/Dreamforce sessions, partner discussions, and internal executive reviews
Requirements
  • 7+ years of Product Management experience, with at least 4+ years in a B2B SaaS or platform product role
  • Bachelor's degree in Computer Science, Engineering, or technical field; MBA or Master's degree in Business, Product Management, or related field a plus
  • Demonstrated experience owning complex, technically deep products end-to-end — from discovery through launch and iteration
  • Strong technical fluency — ability to engage meaningfully with engineering on infrastructure, load generation, APIs, and system design without needing to code
  • Track record of working directly with enterprise customers to surface insights and drive product improvements — ideally in performance-sensitive or platform contexts
  • Excellent communication and storytelling skills — equally comfortable in an engineering sprint review, a customer-facing demo, and an executive business review
  • Ability to operate autonomously in ambiguous, fast-moving environments and make high-quality decisions with incomplete information
  • Prior experience with performance testing, load testing, or developer tooling products (e.g., LoadRunner, JMeter, or similar)
  • Agentic testing experience — you've built or managed products that test AI agents, agentic workflows, or autonomous systems; you understand how to validate quality, reliability, and performance for non-deterministic AI systems
  • Deep technical fluency across performance testing, load generation, cloud infrastructure (AWS, Kubernetes), and SaaS architecture — able to engage deeply with engineering teams and communicate clearly to executive audiences
  • Experience with testing/observability/monitoring products — you've built or managed products in the DevOps toolchain (load testing, APM, observability, CI/CD, test automation)
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