Full-Time

Sales Engineer

Grepr

Grepr

AI-driven data filtering and routing observability

No salary listed

Company Does Not Provide H1B Sponsorship

San Francisco, CA, USA

In Person

Category
Sales & Solution Engineering (1)
Required Skills
Datadog
Kubernetes
Microsoft Azure
Grafana Logstash
Data Engineering
opentelemetry
AWS
New Relic
Observability
Google Cloud Platform
Requirements
  • 5+ years in Sales Engineering, Solutions Engineering, Product Management, Technical Marketing or similar roles
  • Strong background in observability, telemetry, or data engineering
  • Hands-on experience with logs, metrics, and traces
  • Experience with OpenTelemetry / Datadog / New Relic or other observability tools
  • Experience with Fluentd / Logstash / Vector
  • Experience with Cloud platforms (Amazon Web Services, Google Cloud Platform, Microsoft Azure)
  • Experience with Kubernetes environments
  • Ability to whiteboard distributed systems architectures
Responsibilities
  • Own technical pre-sales from first call to Proof of Value (POV)
  • Architect solutions for complex telemetry environments
  • Deliver compelling demos tailored to engineering buyers
  • Design and execute hands-on Proof of Value engagements
  • Help define our sales motion and technical messaging from the ground up
  • Write technical blogs, speak at conferences, and tend to booths at trade shows
  • As one of our first SE hires, you'll shape how we engage with our customers
  • Partner with Sales on discovery and qualification
  • Map customer observability architecture and pain points
  • Position our telemetry pipeline as a cost, performance, and control layer
  • Handle technical objections and security reviews
  • Support RFPs and technical documentation
  • Build customized demos (not canned walkthroughs)
  • Translate product capabilities into business impact
  • Demo to SREs, DevOps leaders, platform teams, and CIOs
  • Continuously improve demo environments and assets
  • Design scoped POV plans with clear success criteria
  • Deploy in customer environments (cloud-native and hybrid)
  • Work with logs, metrics, traces, OpenTelemetry, agents, and collectors
  • Quantify cost savings and performance improvements
  • Deliver executive-ready POV readouts
  • Feed product insights back to engineering
  • Help shape messaging and competitive positioning
  • Build reusable technical content (battlecards, architecture diagrams)
  • Influence roadmap based on customer feedback
Desired Qualifications
  • Experience with telemetry routing platforms like Cribl
  • Background as an Site Reliability Engineer or platform engineer
  • Early-stage startup experience
  • First-hand knowledge of Datadog, Splunk, New Relic, or Elastic

Grepr provides an observability platform that helps engineering teams reduce costs by using AI to analyze data usage and route only what matters to observability tools. It combines an observability data lake with an intelligent pipeline, enabling relational queries across all observability data in one place. The system automatically filters, aggregates, and routes data, supports dynamic backfilling during incidents, and reduces log volume through summarization while sampling traces. It enables querying retained data, generating reports, powering AI, and triggering backfill via webhooks or the interface, without migrations, focusing on cost reduction and data access for engineers.

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Company Stage

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Total Funding

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Headquarters

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Founded

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Simplify Jobs

Simplify's Take

What believers are saying

  • DORA compliance drives financial firms to adopt Grepr's cost-reduced audit trails.
  • Kubernetes growth boosts demand for Grepr's noise-filtering log management.
  • Vendor-agnostic architecture attracts enterprises avoiding observability lock-in.

What critics are saying

  • Datadog LogReaper launched Q1 2026 integrates AI summarization, eroding Grepr proxy need.
  • New Relic AI Cost Optimizer from February 2026 captures Grepr's no-migration customers.
  • Metronome Observability debuted July 2025, stealing Grepr adopters via VC promotion.

What makes Grepr unique

  • Grepr uses AI-driven semantic clustering to aggregate similar logs before forwarding.
  • Dynamic backfilling from data lake ensures full troubleshooting data during incidents.
  • Vendor-agnostic pipelines support Datadog, Splunk, New Relic without migrations.

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Benefits

Health Insurance

Unlimited Paid Time Off

Company Equity