Six Figure Work

Forward Deployed Engineer

Teleskope

Company websiteteleskope.ai (Teleskope, opens in new tab)

Base salary $140K  to $180K

Employer-published annual base salary, USD. Advertised base range in New York, NY

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  • LocationNew York, NY
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (28 min ago) · observed since

About this job

About Teleskope

Teleskope is redefining data security for the AI era with the only dedicated platform that combines precise visibility with automated remediation. Teleskope continuously scans, catalogs and classifies data in-motion and at-rest while automating policy-based actions, helping organizations proactively manage data sprawl while securely enabling AI adoption.

Following our $25 million Series A round, Teleskope is in the midst of a high-growth phase, serving customers ranging from AI leaders like Legora and Notion to global enterprises like Chevron Phillips Kohl’s.

About the role

We are seeking a Forward Deployed Engineer who will be the technical face of Teleskope to our customers. You’ll operate across pre- and post-sales, sit between Go-to-Market and Engineering, support technical needs of customers in pilot, and serve as the dedicated technical resource for a large cohort of active subscription customers. The role requires hands-on engineering: writing bespoke integrations/automations, fixing customer-specific issues, and delivering production-ready technical solutions while building and maintaining strong relationships with our customers.

What you’ll do

  • Serve as the dedicated technical resource for a book of customer accounts, supporting core platform functionality as well as ancillary product needs to ensure an exceptional and consistent customer experience

  • Work alongside Technical Account Managers to ensure success from conversion all the way through to renewal

  • Collaborate with Product, Engineering, and Forward-Deployed SREs to ensure timely and accurate technical delivery

  • Diagnose, triage, and implement fixes for customer-specific bugs; author reproducible fixes, tests, and PRs or produce clear remediation documentation when immediate code changes aren’t appropriate

  • Build custom product features to address high-impact customer requests. Most of these will make it to the core product

  • Support technically complex use cases by developing scripts, automation, custom integrations, and reports

  • Conduct architecture reviews, technical deep dives, enablement sessions, and solution reviews for a range of personas — from individual contributors to senior security and engineering leadership

  • Help drive the product roadmap by bringing the voice of the customer into planning meetings, prioritizing issues, and championing high-value feature requests to the Product team

  • Produce clear technical documentation, runbooks, and handoffs for customers and internal teams

About you

  • 3+ years supporting enterprise customers in a hands-on technical role (Customer Engineer, Software Engineer, Technical Consultant, Technical Account Manager, or similar)

  • Strong scripting and programming skills (e.g., Python, Bash; experience with Golang/TypeScript is a plus)

  • Experience with cloud technologies and deployment tooling (AWS/GCP/Azure, Terraform, Kubernetes, Docker, CI/CD)

  • Bias for action and speed – you move fast, find creative solutions and aren’t afraid to disrupt the status quo

  • Proficiency using AI coding tools such as Claude, Cursor and/or Codex

  • Excellent communication skills and a consultative mindset — able to explain technical tradeoffs to both engineers and functional stakeholders

  • BS/BA in Computer Science or equivalent experience

  • Must be based in NYC (we work hybrid)

What you'll get

  • An opportunity to join an early-stage startup in one of today’s fastest-growing markets

  • A chance to bridge your technical skills with business impact and direct customer exposure

  • Room to learn, grow, and rapidly advance in your career as part of a growing team

  • A beautiful office in NYC’s Financial District, with breakfast and snacks provided daily, and weekly catered lunch

  • Flexible vacation and work-from-home days

  • Competitive salary and meaningful equity

  • Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope

Source: Teleskope on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($140,000) is above 19% of the 451 Data & ML roles in New York listed on this site; 11 others list the same floor. Their median floor is $176,000; the middle half runs from $150,000 to $200,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 1 other live Teleskope role with the nearest advertised base floor
  • This listingForward Deployed Engineer$140K  to $180K

  • Recruiting Lead$175K  to $200K

Chart as a table
This range next to 1 other live Teleskope role with the nearest advertised base floor
RolePublished base
Forward Deployed Engineer (this listing)$140K - $180K
Recruiting Lead$175K - $200K

Same $100K to $400K scale as every card. All Teleskope roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-18
Where this pay comes from

Location as the employer wrote it: New York, New York

USD 140,000 – 180,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.