Full-Time

Head of Engineering

Grepr

Grepr

AI-driven data filtering and routing observability

Compensation Overview

$250k - $350k/yr

+ Equity

Company Does Not Provide H1B Sponsorship

San Francisco, CA, USA

Hybrid

On-site for at least 3 days per week at 3043 Mission St, San Francisco, CA.

Category
Engineering Management (1)
Requirements
  • BS in Computer Science or Electrical Engineering or equivalent with 10+ years of industry experience, including 4+ years in a technical leadership role.
Responsibilities
  • Be deeply involved in architectural and product discussions and planning.
  • Grow, mentor, inspire and nurture a talented engineering team.
  • Lead projects from inception to completion, and following through to deliver on changes needed to make deals happen.
  • Deliver an exceptional user experience for our customers.
  • Forge strong partnerships with product management to bring our product roadmap to life.
  • Own customer support and success in the initial phases of company growth.
  • Experience delivering data-centric and AI capabilities to users in the Cloud and on-prem, executing on an externally facing product for a B2B business.
  • Experience in building and scaling real-time data processing and AI applications in a SaaS model.
  • Experience working with large enterprise customers and the kind of needs and demands they require.
  • Proven ability to guide and inspire an engineering team.
  • Demonstrated skill in hiring, training, and mentoring a diverse team of high-performing engineers, fostering a culture of continuous learning, growth, and excellence in software development and maintenance.
Desired Qualifications
  • Experience building observability products is preferred but not required.
  • Ideally, experience in early stage startups and deep experience in Java and stream processing systems, especially Apache Flink.

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.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

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.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Health Insurance

Unlimited Paid Time Off

Company Equity