Teleskope

VP of Engineering

Teleskope

full-time

Posted on:

Location Type: Hybrid

Location: New York CityNew YorkUnited States

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Salary

💰 $260,000 - $300,000 per year

Job Level

About the role

  • Own engineering strategy, execution, and delivery across the Teleskope platform.
  • Build, scale, and lead the engineering team, including hiring and development.
  • Set technical direction and architectural standards for scalable, reliable systems, while staying close to the work through engagement in the codebase and guidance on execution.
  • Partner with CEO and product leadership to execute the roadmap with speed and quality.
  • Establish strong engineering processes without sacrificing velocity.
  • Guide the productionization of ML-powered and agentic systems.

Requirements

  • 15+ years of engineering experience, including 8+ years in engineering leadership roles.
  • Proven experience scaling teams and systems at high-growth startups.
  • Strong technical foundation with the ability to guide architecture and complex systems.
  • Experience with data-intensive or distributed systems in production.
  • Familiarity with ML and AI-driven products.
  • Strong communication skills and comfort partnering with executive leadership.
  • Experience in security, privacy, or data governance domains is nice to have.
  • Background working closely with ML or data teams is nice to have.
  • Experience scaling teams post–Series A is nice to have.
  • Experience working with multiple clouds (AWS, Azure, GCP) as well as on-premise environments is nice to have.
Benefits
  • Competitive salary and meaningful equity
  • A beautiful, well-stocked office in NYC’s Financial District
  • Flexible vacation and work-from-home days
  • Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
engineering strategyarchitectural standardsscalable systemsdata-intensive systemsdistributed systemsML-powered systemsAI-driven productsteam scalingcomplex systems
Soft Skills
leadershipcommunicationcollaborationguidanceexecution