You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Early Window: Closes in
Company hidden

Applied Forward Deployed Engineer

  • Remote
  • 3-6 years

Salary

$140,000 - 180,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

About the company

The company is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, the company provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Learn more at the company's site

Responsibilities

  • We're hiring an Applied Forward Deployed Engineer to own the technical side of every new customer from the moment the deal closes until they're live and getting value. You'll write production code in customers' Snowflake and Databricks environments, integrate the company with their real pipelines, and become the technical advisor they call before they escalate. This isn't support and it isn't a CSM role: your metric is whether the customer is live and consuming. It's an early hire into a new function, so you'll help write the FDE playbook, not inherit one. Remote (US), with roughly 25% travel to customers.
  • Own deployment from day one post-close: monitors, alerts, and integrations configured for the customer's actual environment.
  • Write production-quality Python, SQL, and API integrations tailored to customer pipelines, and clear whatever stands between a signed contract and a fully operational deployment.
  • Drive customers to consumption. You're accountable for active usage and measurable value, not just go-live.
  • Expand adoption beyond the first champion across teams, data assets, and use cases.
  • Feed what you see in the field back to Product and Engineering so it shapes the core product instead of turning into one-off work.
  • Shape the FDE playbook as an early member of the team.

Requirements

  • Data platform depth. 5+ years building on Snowflake, Databricks, or a modern cloud warehouse as the person who designed and built it, not an end user. Production Python and SQL, and comfortable wiring up REST APIs in someone else's environment.
  • Post-sale ownership. You've owned technical outcomes for enterprise customers after the contract: implementation, solutions or forward deployed engineering, technical onboarding. You measure yourself on go-live and adoption.
  • Range with people. You can run a working session with a room of data engineers and brief a VP in the same week.
  • Builder in ambiguity. You've operated without a playbook and built the structure yourself. You create motion instead of waiting for direction.
  • Nice to have. dbt, Airflow, Fivetran, or Looker; data quality, pipeline monitoring, or incident response; a background in data observability or an adjacent category.
  • This Is Not For You If
  • You want a support queue or a defined playbook to follow.
  • You've only worked pre-sale and never owned what happens after the contract is signed.
  • Your data experience is all internal, with no customer-facing context.
  • You'd rather advise on the stack than write code in it.
  • Why the company
  • Join early as an FDE at the company defining agent trust. We created our category once and we're doing it again with Agent Trust.
  • G2's Best Software Product of 2026, Inc. Best Workplaces 2025, and Built In's Best Remote Places to Work in 2025 and 2026.
  • Competitive compensation, equity, and a remote-first environment.
  • LI-REMOTE
  • BI-REMOTE
  • Why the company
  • We created the data observability category, and we're doing it again with agent trust — you'll build where the market is forming, not where it's settled
  • Snowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory
  • Remote-first by design since day one, and recognized as a Best Workplace for it
  • Competitive compensation, equity, and a remote-first environment.
  • Come As You Are
  • Equality is a core tenet of the company's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
  • The company is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • We are proud to be recognized for our world-class employee experience:
  • The company Named 2025 Databricks Data Governance Partner of the Year
  • We were recently recognized as the 1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!
  • The company Named to G2's Best Software Products of 2026
  • The company was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!
  • We are super proud to be named the 2026 Best Place to Work by Built In!
  • Beware of Imposter Recruiters and Job Scams
  • All official communication from our recruiting team will come from an @ the company's site email address.
  • We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.
  • We will never request payment for equipment, training, or application processing.
  • Our open positions are always listed on our official careers page : the company's site .
  • If you are contacted by someone claiming to represent the company but you’re unsure of their legitimacy, please reach out to us directly at the company's site before sharing any personal information.

Where you’d work

Fully remote

You can work from

  • United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 7 good signs
  • 0 red flags

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • States its salarySlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Remote within United States onlySlight evidence
  • Pays below most similar roles, which thins the crowdSlight evidence

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
Type
Full-time
Equity
Equity offered
Specialty
Forward Deployed
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Solutions & Support
Specialty
Forward Deployed
Experience
5+ years
Tech stack
  • Python
  • SQL

Location

Work model
Remote
Region
United States
Remote from
  • United States

Compensation

Salary
$140,000 - 180,000 / year
Pay period
Annual
Equity
Equity offered

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason