Sales Engineer, Storage & Analysis (West region)

Cribl, Inc.
San Francisco, CA, United States
3 months ago
Apply on indeed.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$130,000.0 - $190,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Information Technology Operations Machine Learning Data Analytics

Job description

As a trusted technical advisor, you’ll help customers understand the value of our solutions, partner closely with Sales to accelerate opportunities, and provide valuable feedback that helps shape the future of our Storage & Analysis product offering.

As an active member of our team, you will

  • Help customers understand the value of Cribl’s Storage & Analysis products during the entire sales process
  • Partner with a dedicated Product Sales Specialist to develop and execute sales strategies, support customer engagement, and drive pipeline growth across Cribl’s emerging product lines.
  • Collaborate with the broader Field team to develop demos and demo content, presentations, and other selling artifacts that reflect customer buying & usage patterns.
  • Demo the product and answer customer questions during initial sales calls
  • Deliver sales presentations, present technical information about Cribl’s products and services, conduct product demonstrations and execute Proof of Value events
  • Guide customers through proof-of-concept activities and help ensure successful outcomes.
  • Document interesting use cases in blog posts and product documentation
  • We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours

Requirements

Do you have experience in Customer communication?, Do you have a Bachelor’s degree?, We’re seeking a high-performing Sales Engineer Specialist to help drive the success of our Storage & Analysis product portfolio. This role is ideal for someone who thrives in customer-facing environments, takes ownership of outcomes, and has a proven track record of exceeding sales goals., * 5+ yrs of experience working with logs, metrics, observability, IT operations, or security solutions in a customer-facing role (Sales Engineering, Professional Services, Forward Deployed Engineering, or the like).

  • Background of successfully selling into both new and existing customers (landing and expanding)
  • Ability to teach ways to identify new and existing opportunities through consultative selling methodologies
  • Bachelor’s Degree or equivalent AND 3-5 years of experience in a customer facing role OR equivalent combination or education and experience
  • Proven ability to manage multiple priorities, projects, and stakeholders in a fast-paced environment.
  • Background in cybersecurity, data analytics, or AI/ML technologies.
  • Willingness and ability to travel up to 30%.
  • Must reside in the Western Region (Pacific and Mountain Time Zones Preferred)

LI-JK1

#LI-Remote

About the company

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.

We’re one of the fastest-growing private companies and a leading player in a massive, fast-moving market. With a global workforce, we’re remote-first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:10 min

Introduction to Microsoft Fabric and data agents

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

Videos

See all

Related articles

See all