{"id":82490,"url":"https://alion.io/job/profound-gtm-engineer-post-sales","title":"GTM Engineer, Post-Sales","company":{"id":4789,"name":"Profound","domain":"tryprofound.com","url":"https://alion.io/company/profound","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":84,"open_postings":67,"ghost_share":0.179,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":127,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Sales","role_family":"Sales","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Figma","optional":false},{"name":"JavaScript","optional":false},{"name":"LLM","optional":false},{"name":"n8n","optional":false},{"name":"Python","optional":false},{"name":"Salesforce","optional":false}],"status":"live","first_seen_at":"2026-03-31T01:16:09Z","employer_posted_date":"2026-03-31","last_verified_at":"2026-10-28T15:53:00Z","board_verified":true,"closed_at":null,"days_open":211,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":211},"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.\nBuilt 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.\nAs 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.\nWhat you’ll do\nBuild 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\n\nDesign 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\n\nAutomate 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\n\nBuild 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\n\nGenerate 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\n\nAnalyze 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\n\nBuild routing logic for assigning new customers to the right team member at handoff, accounting for current workload, open renewals, domain expertise, and timezone alignment\n\nManufacture tools rather than operate them, building systems the post-sales team can run independently\n\nWho you are\nHigh-agency builder who can identify a problem in the customer lifecycle, scope a solution, and ship it without being closely managed\n\nTechnically fluent in Python or JavaScript, comfortable building data pipelines, integrating APIs, and working across tools like Gong, Salesforce, and n8n\n\nAI-native thinker who defaults to automation and regularly experiments with agents, LLM APIs, and workflow frameworks\n\nPragmatic about build versus buy, knowing when to leverage existing infrastructure rather than rebuild it\n\nExperience with post-sales, customer success, or account management operations\n\nComfortable reasoning about data at a statistical level; building signal detection and predictive models, not just moving records between systems\n\nFamiliar with tools like Gainsight, Gong, Salesforce, Dust, or similar customer-facing platforms\n\nSystems thinker who sees how data moves through the customer lifecycle and builds with that full picture in mind\n\nComfortable operating in ambiguity and structuring your own roadmap\n\nLocation\nThis is an on-site role based in our Union Square, NYC office, designed for builders who thrive on speed, iteration, and meaningful impact.\nFor 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.\nNote: All official communication from Profound will come from a @tryprofound.com email address. 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