Jobs · Engineering · New York

GTM Engineer

Gradient Labs · New York, NY · 2 mo ago
HybridEngineeringFull-time

About the role

This is a foundational role for our GTM motion. You'll own the systems and signals behind how we identify, segment, and reach our ICP, stitch our BDR, marketing, and sales ops into one streamlined operation, and be a critical partner to our AEs and our Head of Marketing in turning those signals into pipeline.

Responsibilities

  • Building super-qualified, relevant lists. There are fifty ways to build a list, but what we actually want is volume within a tightly defined core ICP. You'll define the right way to do that for each of our segments and run it consistently.
  • Owning the outbound motion end to end. We sell to a targeted enterprise ICP, so this isn't an ultra-high-volume game. It's low-volume, high-frequency, high-quality outbound: combining email and LinkedIn into multi-touch plays that land with our personas, managing domains and deliverability, owning reply handling, and auditing success.
  • Supporting sales with pipe-gen. Partner closely with our AEs on account strategy. Surface intent signals, prioritize the right accounts, and make sure no signal goes to waste.
  • Connecting the operations layer. BDR ops, marketing ops, and sales ops currently run as separate threads across HubSpot, Clay, CommonRoom, LGM, Apollo, and Instantly. You'll bring a point of view on how these should fit together, build the integrations and workflows that make them one system, and keep iterating so the whole thing gets better month over month.
  • Plugged into the GTME/AI market. You have a real read on how the space is moving: what operators at peer companies are building, which categories and tools are emerging, what's working in practice vs. what's hype.

Requirements

  • Enterprise SaaS operations background. 5+ years in a rev ops, marketing ops, or sales ops role at an enterprise SaaS company. You've run strong account-based motions before.
  • Systems-building instinct: You think in workflows. You can take a half-built thing, see what it should be, and build it into a system that compounds. You're fluent in tools like HubSpot, Clay, and Apollo but you treat the tools as interchangeable; the operation is the point.
  • Genuine AI fluency. You use AI every day as the way you work. You're great at prompting, comfortable building small agents, and creative about what AI can take off your plate.
  • Fast pace and bias to action. Fast is your default. You’d rather try something today than schedule a meeting about it next week.
  • High agency and ownership. You evaluate whether your work is producing results. If something isn't working, you flag it early with a recommendation rather than more activity.
  • Comfort with ambiguity. You're at home in an early-stage environment and don't wait to be told what's important.

Qualifications

Graduate degree in business, computer science, or related field. Proven track record of success in operations roles within enterprise SaaS companies. Strong understanding of AI and its applications in business operations.

Skills

  • Strong organizational skills and attention to detail.
  • Experience with CRM tools such as HubSpot, Clay, and Apollo.
  • Ability to manage multiple projects simultaneously and meet tight deadlines.
  • Excellent communication and interpersonal skills.
  • Experience with AI and machine learning tools.

Benefits

Competitive salary commensurate with experience. Comprehensive benefits package including health insurance, retirement plans, and paid time off.

Pay

Salary range: $80,000 - $120,000 annually.

Schedule

Full-time position. Flexible work arrangements may be available based on company needs and individual performance.

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