profound · Marketing
New York, New YorkOnsite
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Work location
Role read
A quick read on what this posting appears to emphasize, based on the employer description and role fields.
Worth noticing
Marketing ops / analytics
“… systems that connect campaign performance, AI citation tracking, attribution …”
Systems ownership and reporting usually anchor this work.
Pipeline
“… all, including autonomous agents, programmatic workflows, real-time data pipeline …”
Attribution
“… systems that connect campaign performance, AI citation tracking, attribution …”
Reporting & forecasting
“… social engagement, lead follow-up, sentiment monitoring, and campaign reporting - Own the marketing data infrastructure by …”
Where this comes from
Every line below is grounded in the actual posting or in the title, role fields, and seniority tags. Snippets are quoted verbatim; the source tag tells you which part of the listing they came from.
Channels mentioned
… systems that connect campaign performance, AI citation tracking, attribution …
Why it matters here: Systems ownership and reporting usually anchor this work.
Success metrics mentioned
… all, including autonomous agents, programmatic workflows, real-time data pipeline …
… systems that connect campaign performance, AI citation tracking, attribution …
… social engagement, lead follow-up, sentiment monitoring, and campaign reporting - Own the marketing data infrastructure by …
Growth stack
Use this posting to prepare
Each subsection below is grounded in something the posting or the role fields actually say. Use them as prompts — not as finished resume copy.
Step 1
Terms in the actual posting. Use these only where they match your real experience.
Step 2
Worth raising before applying or in the first recruiter conversation.
01Which systems and attribution models are considered the source of truth?
Why ask this: Triggered when marketing ops, attribution, or analytics tooling is named. Triggered by the posting’s mention of marketing ops / analytics tooling.
Step 3
Each angle below starts from a real signal in the posting. The phrase “if this reflects your real experience” matters — don’t invent experience you don’t have.
profound
profound has 5 other live roles on this site right now across 5 different role categories. The list below shows what they’re hiring for alongside this posting.
Other live roles
Original employer description
Reproduced verbatim from the employer. Verify everything in this brief against the source text below.
Profound is the marketing platform for the AI era. As people increasingly turn to ChatGPT, Perplexity, and Gemini to decide what to buy, we give brands the intelligence to see how AI represents them and the Agents to act on it. Today, ~13% of the Fortune 500, plus companies like Ramp, Figma, Chime, Calendly, and DocuSign, use Profound to turn AI Search from a black box into a measurable growth channel.
Backed by Lightspeed, Sequoia, Kleiner Perkins, and Khosla Ventures at a $1B valuation, we're a lean, fast-moving team across NYC, SF, Buenos Aires, and London, shipping at a relentless pace and defining a new category at the biggest shift in marketing in 25 years. If you want to do the best work of your career at the frontier of AI, come build it with us.
We are hiring a Marketing Engineer to build the agents, automations, and data infrastructure that power Profound’s marketing engine.
You will sit at the intersection of marketing strategy and technical execution, designing and deploying the systems that allow the team to move faster and focus on higher-leverage work. This is not a traditional marketing role. You are not writing blog posts or manually running campaigns. You are building the engineering layer beneath it all, including autonomous agents, programmatic workflows, real-time data pipelines, and scalable infrastructure that turns marketing into a system.
You will be opinionated about architecture, relentless about data quality, and driven by the belief that marketing at scale is an engineering discipline. As we grow, you will define the systems and standards others build on. Initially, you are laying the foundation yourself.
Build marketing agents and automations to handle repetitive and time-sensitive workflows such as content drafting, social engagement, lead follow-up, sentiment monitoring, and campaign reporting
Own the marketing data infrastructure by building the systems that connect campaign performance, AI citation tracking, attribution, and pipeline impact
Create dashboards and reporting systems that keep marketing data accurate, actionable, and continuously up to date
Build and maintain automation systems for search and AI visibility, including monitoring and optimizing how content performs across traditional search and AI-generated answers
Implement structured data, schema markup, and metadata frameworks at scale
Architect publishing and distribution systems by building integrations between CMS, data sources, and distribution channels
Automate the publishing pipeline so content moves from creation to distribution with minimal manual intervention
Instrument brand presence in LLMs by designing content architecture and structured data systems that increase visibility and citation frequency
Run disciplined experiments across workflows, content structures, and distribution strategies, treating each deployment as a hypothesis
Build repeatable systems by codifying successful workflows into templates, scripts, and scalable playbooks
4 or more years of experience in technical marketing, marketing engineering, growth engineering, or a similar role combining marketing strategy and technical execution
Strong programming skills in Python, JavaScript, or similar, with experience building data pipelines, API integrations, and automation workflows
Experience working with AI agents, LLM-powered tooling, or similar systems
Comfortable operating in ambiguity and moving quickly in a fast-paced environment
Familiarity with how search engines and AI models discover, index, and surface content, with experience in structured data such as schema.org or JSON-LD as a plus
Systems thinker who prioritizes scalable solutions over one-off execution
Clear communicator who can translate technical decisions into business impact
Willing to challenge assumptions and test ideas with evidence rather than defaulting to best practices
Experience with CMS platforms, headless architectures, publishing APIs, and marketing automation tools
Experience in B2B or enterprise marketing environments is a plus
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 $135,000 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 your experience and fit 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.
Angle 01
Marketing ops angle
If this reflects your real background, emphasize: systems ownership (CRM, CDP, automation), data quality, attribution, and reporting, and stakeholder workflows and dashboards
Why we suggest this: posting mentions marketing ops / analytics and attribution.
Angle 02
Analytics / reporting angle
If this reflects your real background, emphasize: data warehouse access and tooling stack, metric definitions and reporting cadence, and attribution and forecasting accuracy
Why we suggest this: posting mentions attribution and reporting & forecasting.
Keyword stuffing, fabricated bullets, or borrowed metrics tend to backfire in the first screen. Use these as a checklist, not a script.
Apply before August 22, 2026.