GTM Engineer, Post-Sales

Profound; New York (NY); Hybrid; USD 130,000 - 200,000; Full time

Job summary

Profound in New York City is seeking a GTM Engineer on the Post-Sales team to turn data from the customer lifecycle into automated workflows that scale engagement and retention.

You will build automated health scoring, expansion signals, renewal risk scoring, and auto-generated business reviews, while leveraging Gainsight, Gong, Salesforce, and other customer-facing platforms.

Qualifications

• Experience in post-sales, customer success, or account-management operations.
• Ability to design scalable automation for customer journeys.
• Familiarity with data analysis and modeling.
• Comfortable operating in ambiguity and building your own roadmap.

Responsibilities

• Build automated customer health scoring across the full book of business.
• Design expansion signal detection for accounts ready to grow.
• Automate recurring touchpoints across the customer lifecycle.
• Build renewal risk scoring 60+ days before renewal date.
• Generate business review materials from usage metrics and ROI data.
• Analyze call recordings and transcripts to map AI use cases for customers.
• Build routing logic for assigning new customers to teams.
• Manufacture tools and systems for the post-sales team.

Skills

Automation

LLM APIs

Workflow design

Data analysis

Post-sales ops

Tools

Gainsight

Gong

Salesforce

Dust

Job description

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 on the Post-Sales team, you will build the infrastructure that powers how we retain and grow our customer base. Part systems architect and part customer intelligence platform, you will turn data from across the customer lifecycle into automated workflows that give engagement managers and account managers real leverage. Your work will directly shape how our Customer Success function scales.

What you’ll do

Build automated customer health scoring across the full book of business, synthesizing product usage, support signals, and engagement data into a single, reliable picture of each account

Design expansion signal detection for account managers that automatically surfaces accounts ready to grow, flagging patterns in usage, seat activity, and engagement that typically precede an upsell conversation

Automate recurring touchpoints across the customer lifecycle, including onboarding checklists, usage review summaries, and adoption nudges, so engagement managers can focus on the work that requires a human

Build renewal risk scoring that surfaces at-risk accounts 60 or more days before their renewal date, giving the team the time and context to intervene effectively

Generate business review materials automatically by pulling usage metrics, ROI data, and AI use case recommendations from multiple internal sources into a format teams can present immediately

Analyze call recordings and transcripts to identify AI use cases that map to each customer’s business, then automate the process of building and deploying those use cases at scale

Build routing logic for assigning new customers to the right team member at handoff, accounting for current workload, open renewals, domain expertise, and timezone alignment

Manufacture tools rather than operate them, building systems the post-sales team can run independently

Who you are

High-agency builder who can identify a problem in the customer lifecycle, scope a solution, and ship it without being closely managed

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

Pragmatic about build versus buy, knowing when to leverage existing infrastructure rather than rebuild it

Experience with post-sales, customer success, or account management operations

Comfortable reasoning about data at a statistical level; building signal detection and predictive models, not just moving records between systems

Familiar with tools like Gainsight, Gong, Salesforce, Dust, or similar customer-facing platforms

Systems thinker who sees how data moves through the customer lifecycle and builds with that full picture in mind

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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