Profound Logo

Profound

Marketing Engineer

Reposted 20 Days Ago
Be an Early Applicant
In-Office
New York, NY, USA
135K-200K Annually
Mid level
In-Office
New York, NY, USA
135K-200K Annually
Mid level
The Marketing Engineer will design and implement systems for automating marketing tasks, managing data infrastructure, and optimizing workflows using programming skills and AI tools.
The summary above was generated by AI

Profound is the marketing platform for the age of AI search. The way brands reach people is being rewritten — AI models like ChatGPT, Perplexity, and Google AI Mode are now the answer layer between companies and their customers. We built the platform marketers use to understand, measure, and win in that world: the analytics, intelligence, and agent automation that turn AI search from a threat into a competitive advantage.

We went from 0 to a $1B valuation in 18 months. Revenue grew 100x last year. Our customers include 15% of the Fortune 500 like Walmart, Wayfair and U.S. Bank, and innovators like Ramp, MongoDB, and Figma. We are backed by Sequoia, Kleiner Perkins, LSVP, and Khosla Ventures — and we are moving fast enough that the people joining now are building the playbook everyone who comes after them will run.

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.

What you’ll do
  • 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

Who you are
  • 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

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 $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.

HQ

Profound New York, New York, USA Office

New York, NY, United States

Similar Jobs

2 Days Ago
In-Office or Remote
Mid level
Mid level
Food
Build and deploy AI-powered tools and workflows across performance marketing, creative production, CRM, landing pages, growth operations, and product. Develop LLM integrations, personalization systems, automation pipelines, dashboards, Slack bots, and internal tools using marketing platforms and data infrastructure. Partner with Growth, Product, and Engineering teams, evaluate AI tooling, mentor nontechnical users, and translate technical solutions into measurable business impact.
Top Skills: Agent SdkAnthropicBrazeDbtGoogle AdsGoogle WorkspaceHexJIRALlm ApisMakeMeta Ads ManagerN8NNotionOpenaiPythonRagSlackSnowflakeSQLTableauTypescriptVercel Ai Sdk
18 Hours Ago
Remote or Hybrid
United States
127K-206K Annually
Senior level
127K-206K Annually
Senior level
Consumer Web • eCommerce • Internet of Things
Lead developer marketing for DNSid: create developer onboarding, docs, SDK/API promotion, tutorials, webinars, and community programs. Build GitHub/open-source engagement, partner integrations, hackathons, and feedback loops with Product and Engineering to drive developer adoption and advocacy.
Top Skills: AIAPIsCloudGitIdentity PlatformsOpen-SourceSdks
6 Days Ago
Remote or Hybrid
135K-222K Annually
Mid level
135K-222K Annually
Mid level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Define portfolio positioning and messaging for Open Finance and Developer Experience, lead go-to-market and launch execution, build sales enablement, drive integrated campaigns, provide market intelligence, manage agencies and measure GTM performance to grow adoption and revenue.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account