growthroles

GTM Engineer, Pre-Sales

Profound tryprofound.com Open · verified Sep 24, 2026
On-site New York Full-time Mid-level Solutions & Sales Engineering

At a glance

Mid-level Solutions & Sales Engineering role at Profound. New York · full-time · $130,000–$200,000 base.

SalaryStated by Profound
$130,000 – $200,000
Base salary for this role, in USD per year, as published in the posting.
RoleSolutions & Sales Engineering
SeniorityMid-level
LocationNew York
WorkplaceOn-site
EmploymentFull-time
Base pay$130,000–$200,000
PostedJan 15, 2026 · 8mo ago
Role brief

Growth Roles summary, based on the employer's posting.

What you'll do

  • Map how prospects enter and move through the funnel, then automate capture, qualification, and handoffs
  • Build intent scoring that separates real buying signals from simple activity
  • Create routing rules based on territory, company size, and rep capacity, including edge cases
  • Turn pipeline scores into rep-ready outputs and automate personalized outbound sequences
  • Maintain the pipeline stack from ingestion and enrichment through delivery, schemas, and experimentation

What you bring

  • You can build automated pipelines and API integrations in Python or JavaScript
  • You regularly use automation, agents, MCP, and workflow frameworks to test new approaches
  • You have worked in sales operations, revenue operations, or a technical sales organization
  • You have built systems that revenue teams used directly, not just observed
  • You can structure an independent roadmap while accounting for failure modes and ambiguity

Who this fits

You’ll fit a hands-on builder role that values practical build-versus-buy decisions, experimentation, and systems sales teams trust. You’ll work on-site from Profound’s Union Square office in New York City. The role suits someone comfortable owning a broad technical scope and working closely with revenue teams.

From the employer

Profound is the fastest-growing AI marketing platform, used by 15% of the Fortune 500 including Comcast, Estée Lauder, and Walmart, and innovators like Ramp, MongoDB, and Figma. It is where marketing teams do the work: research, briefs, content, campaigns, reporting, all in one place, alongside agents that carry the load with them.

Built on 2B+ real user prompts and growing, Profound’s data shows you what people ask AI and what the models say back. Profound's AI Marketer joins that data with deep context about our customers to find the opportunities worth acting on, and then puts agents to work: automating reporting, drafting content, auditing pages for readability, running competitive research. It measures what works and gets better every day.

As a GTM Engineer focused on Pre-Sales and Outbound, you will build the infrastructure that powers every stage of our revenue pipeline. Part lead intelligence system and part outbound engine, you will capture every signal a prospect sends, qualify leads with precision, and make sure the right opportunity reaches the right rep at the right time. Your work will directly shape how our Sales function scales.

What you’ll do

  • Scope and map every path a prospect can take into Profound’s funnel, then build systems that capture, qualify, and route each one without manual intervention

  • Build intent scoring models that rank leads by genuine buying signal rather than raw activity volume, so reps spend their time on the accounts most likely to convert

  • Design automated routing logic across territory, company size, and rep capacity, handling edge cases cleanly so the system holds up on the hard days, not just the easy ones

  • Produce rep-ready outputs directly from the scoring pipeline, so reps start their day dialing rather than cleaning spreadsheets

  • Build outbound sequence automation that generates personalized messaging at scale, drawing on firmographic and behavioral data

  • Own the full technical stack across the pipeline, from data ingestion and enrichment through scoring, routing, and delivery, and design schemas that make the whole system maintainable as it grows

  • Experiment relentlessly with new platforms, APIs, and AI-native tools, staying ahead of what is possible in the ecosystem

Who you are

  • High-agency builder who can scope a messy, multi-source data problem, design a system to solve it, and ship something a sales team will actually trust and use

  • Technically fluent in Python or JavaScript, comfortable building automated pipelines, integrating APIs, and working across the full data stack

  • AI-native thinker who defaults to automation and experiments regularly with agents, MCP, and workflow frameworks

  • Pragmatic about build versus buy, knowing when to assemble from existing tools rather than build from scratch

  • Familiar with tools like Clay, Orum, Apollo, PhantomBuster, n8n, or similar sales and automation platforms

  • Experience with GTM workflows such as sales operations, revenue operations, or a technical role inside a sales organization

  • You have spent meaningful time inside a revenue organization and built things that people on the floor actually relied on, not as an observer but as a practitioner

  • Systems thinker who considers edge cases and failure modes from the start, not as an afterthought

  • Comfortable operating in ambiguity and structuring your own roadmap

Location

This is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact.

For this role, the expected base salary range is $130,000 to $200,000. Profound’s total compensation package is designed to be competitive and includes base salary, equity, and a full range of benefits and perks. Final compensation will depend on factors such as your skills, experience, qualifications, and location, and will be determined during the interview process. Our recruiting team will share more details about the full compensation package and benefits as you move through hiring.

Note: All official communication from Profound will come from a @tryprofound.com email address. If you're contacted by anyone using a different domain, please disregard and report it as spam.

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