{"id":1016039,"url":"https://alion.io/job/profound-support-engineer","title":"Support Engineer","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":78,"open_postings":69,"ghost_share":0.29,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":127,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Support","role_family":"Support","seniority":"junior","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","London, United Kingdom"],"countries":["US","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":129600,"max":146400,"currency":"USD","period":"year","gross":null,"usd_annual":146400},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Cloudflare","optional":false},{"name":"DNS","optional":false},{"name":"Figma","optional":false},{"name":"JavaScript","optional":false},{"name":"Slack","optional":false},{"name":"Vercel","optional":false},{"name":"WordPress","optional":false},{"name":"PHP","optional":true}],"status":"live","first_seen_at":"2026-09-17T18:24:49Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-11-03T16:35:54Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":46},"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 Support Engineer, you'll be on the front lines keeping Profound running for our customers, from the first ticket of the day to the last incident page. You'll join the initial cohort of our Support Engineering team, which means you won't just answer tickets: you'll help define what \"best in class\" support looks like in the AI search category, shape the runbooks and tooling the team scales on, and become one of the most technically fluent voices our customers hear. This is a role for someone early in their career who wants steep growth: you'll work directly with Engineering, Product, and Customer Success, and develop deep expertise in the AI search ecosystem while ensuring every Profound customer, from Scale to Enterprise, gets answers that are fast, technical, and correct.\nWhat you'll do\nOwn the front line of Profound's ticket queue: triage, investigate, and resolve customer issues across our ticketing system and Slack-based support channels\n\nReproduce bugs, read logs, and write queries to get to root cause, and escalate code-level issues to Engineering with clean, well-documented repro steps\n\nMeet response and resolution SLAs and contribute to the team's core metrics: first response time, time to resolution, CSAT, backlog aging, and ticket deflection\n\nParticipate in the team's coverage model, including on-call rotations and clean handoffs to teammates in other regions as part of our follow-the-sun operation\n\nWrite and maintain internal runbooks and public knowledge base articles, turning recurring tickets into deflection content so the team scales faster than ticket volume\n\nDevelop hands-on expertise in Profound's integrations surface area: Cloudflare, Vercel, AWS, CMSs like WordPress, Sanity, and Contentful, and the broader AI search ecosystem\n\nSurface recurring defects and customer pain to Product and Engineering, shortening the loop between what customers hit and what gets fixed\n\nPartner with Customer Success and Account Management to ensure smooth handoffs from onboarding to steady-state support across Scale, Mid-Market, and Enterprise customers\n\nAssist with customer communications during incidents, including status page updates and post-incident follow-ups\n\nUse and improve our AI-assisted triage tooling, helping build support out of code and automation, not just headcount\n\nWho you are\n1-3 years of experience in technical support, customer-facing, or engineering roles (internships, co-ops, and strong side projects count), with a technical foundation from a CS/engineering degree, bootcamp, or equivalent self-taught background\n\nHands-on technical aptitude: comfortable - or hungry to get comfortable - reading logs, writing basic queries, working with APIs, and debugging web technologies like DNS, HTTP, and JavaScript\n\nExcellent written communicator who can explain technical issues clearly and empathetically to customers, and precisely to engineers\n\nHigh ownership and customer empathy - you treat every ticket as Profound's reputation on the line and don't hand off problems until they're solved\n\nFast, curious learner who thrives in ambiguity and a high-iteration environment where the category itself is still being defined\n\nWilling to participate in on-call rotations as part of a 24/7 coverage model\n\nInterest or experience in AI, developer tools, infrastructure, or marketing technology is a strong plus\n\nLocation\nThis is an on-site role based in our NYC or London office, designed for builders who thrive on speed, iteration, and meaningful impact.\nFor this role, the expected base salary range is $129,600 - $146,400 (New York) and £82,300 - £93,000 (London). 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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Docs: https://alion.io/developers"}}