Go-To-Market Engineer

INSTALILY.AI

$100K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 0-3 years in growth, outbound, RevOps, or GTM-adjacent role, or technical background applied to revenue
  • Proficient in SQL and at least one scripting language (Python or JavaScript)
  • Experience with API integrations
  • Hands-on familiarity with modern GTM tools like Clay, HubSpot, or similar
  • Base knowledge or eagerness to build automated workflows using AI

Responsibilities

  • Design and launch outbound experiments, measuring results and refining strategies
  • Develop ICP scoring models and segmentation logic to target high-value accounts
  • Manage prospecting and enrichment tools, integrating seamlessly with CRM
  • Create automations for CRM maintenance including data validation and cleanup
  • Enhance AI workflows that assist sales reps in preparation and outreach
  • Establish dashboards for reporting and tracking performance metrics
  • Empower sales reps through automation, providing training on new systems

Benefits

  • Medical, Dental, Vision insurance
  • 401K plan with company match
  • In-office lunch reimbursement
  • Wellness stipend for health-related expenses
  • Generous parental leave policies
  • Paid time off and 10 federal holidays
Full Job Description
TL;DR

We're hiring a GTM Engineer to build and run the engine that drives our growth - outbound experiments, ICP targeting, signal detection, and the data and AI systems underneath them. You're technical enough to build the machine and commercial enough to run it. 0-3 years of experience, with a stronger technical foundation than the typical RevOps profile.
About the Role

Our GTM motion is signal-driven and AI-native. We detect what's happening at target accounts, prioritize who to reach and why, and run outbound plays that are measured from first touch to ARR. The systems behind that - CRM architecture, enrichment workflows, AI agents that prep reps and draft outreach, dashboards our GM checks every Monday - are built in-house, and you'll own them.
Some days you're designing and launching a new outbound play against a fresh signal. Others, you're writing the script that validates a CRM import, tightening an ICP scoring model, or extending an AI workflow that turns call transcripts into deal intelligence. You design the experiment, build what it needs, run it, and read the results honestly. There's no layer between you and impact.
What You'll Do
  • Design, launch, and iterate outbound experiments: hypothesize 14 build 14 launch 14 measure 14 systematize. Test ICP segments, signals, channels, messaging, and sequencing - and turn what works into repeatable plays
  • Build ICP scoring models, segmentation logic, and intent-signal pipelines so effort concentrates on the accounts most likely to convert
  • Own the prospecting and enrichment stack (Clay, Lemlist, LinkedIn, and whatever we adopt next) and wire it into the CRM cleanly
  • Build automations and scripts that keep our CRM clean, queryable, and trustworthy - data validation, dedupe, backfills, association logic
  • Extend our AI-native workflows: agent skills for call prep, signal digests, and outbound drafting that our reps use daily
  • Stand up dashboards and reporting that make it obvious what to focus on each week, with every number tying back to source
  • Equip reps by automating the repetitive parts of their day, then showing them how to use what you built
You Might Be a Great Fit If You
  • Have 0-3 years in growth, outbound, RevOps, or a GTM-adjacent role - or a technical background and a deliberate choice to apply it to revenue
  • Are more technical than the typical GTM hire: comfortable with SQL, at least one scripting language (Python or JavaScript), and working with APIs - enough to build without waiting on engineering
  • Think in experiments: you form a hypothesis, ship a V1 this week, measure it, and let the data decide - including when the data says your idea didn9t work
  • Are hands-on with modern GTM tools (Clay, Apollo, HubSpot, Lemlist, Instantly, or similar) and genuinely curious about new ones
  • Use AI as a builder, not just a chat user - you9ve automated real workflows with LLMs or agent tools, or you9re itching to
  • Care about data integrity: you verify your work, notice when numbers don9t reconcile, and would rather report an honest number than a clean one
  • Want to own problems fully - the need, the system, the launch, and the result
Nice to Haves
  • A CS or adjacent degree, SWE/data internships, or shipped side projects
  • Experience building with LLM APIs or agent frameworks
  • Prior exposure to outbound motions (SDR/BDR or ops support) at a B2B startup
  • Lightweight deployment experience (Vercel/Netlify) or spreadsheet automation at scale
Why This Role
  • High leverage: your experiments and systems directly determine how we find and convert customers
  • AI-native stack: you9ll build with AI agents alongside a team building AI-agent infrastructure as the product
  • Cross-functional seat: you9ll work with Sales, Product, Engineering, and Leadership daily
  • Learning velocity: GTM engineering is an emerging discipline, and you9ll define what it means at InstaLILY

If you want to own the system that drives revenue - and the experiments that prove what works - we9d love to talk.

Compensation and Benefits
  • Salary Range: $100,000-$120,000 per year, commensurate with experience
  • Equity: Stock options awards, and refreshers for top performers
  • Benefits: Medical, Dental, Vision, 401K, in-office Lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and 10 US Federal Holidays, and more!

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