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Profound

AI answer-engine visibility analytics for brands

Member of Technical Staff - Internal Tooling

Software EngineeringUpdated on Nov 5
Full-timeIn-person

About the Job

Requirements

  • At least 2 years of software engineering experience building and operating production applications, services, or integrations.
  • Strong proficiency in TypeScript and Python, with experience writing maintainable, tested production code in both.
  • Ability to work directly with technical and non-technical users to translate ambiguous needs into useful products.
  • Practical judgment about where artificial intelligence adds value and where deterministic workflows or human review are needed.
  • Ability to follow a problem across applications, application programming interfaces, databases, and infrastructure through resolution.
  • Care for reliability, security, data access, and long-term system maintenance.
  • Ability to take ownership, make tradeoffs, and communicate progress and decisions clearly.

Responsibilities

  • Design and build internal applications, integrations, and automations using TypeScript and Python.
  • Work with internal teams to understand workflows, identify repetitive work, and build tools that solve meaningful problems.
  • Build artificial-intelligence-powered workflows using large language models and agents, with evaluation, human review, and fallback paths for production dependability.
  • Develop systems for lead routing, data enrichment, and operational processes, connecting the tools and data teams use every day.
  • Turn prototypes and existing automations into reliable, maintainable systems with testing, monitoring, access controls, and clear ownership.
  • Own projects from design and implementation through rollout, user feedback, and ongoing support.
  • Make practical build, buy, and reuse decisions, improving existing systems and reducing duplication where appropriate.
  • Investigate failures across application code, integrations, and data flows, and improve reliability, performance, and cost.

Desired Qualifications

  • Experience building internal tools, business applications, or automation for go-to-market and Operations teams.
  • Experience shipping large-language-model-powered applications or agent workflows, including evaluating quality and handling failures.
  • Experience with Rust.
  • Experience with cloud infrastructure, background jobs, and data pipelines.
  • Experience integrating tools such as Salesforce, Snowflake, and Slack.

About the Company

Profound

AI answer-engine visibility analytics for brands

Profound helps brands understand and improve how they appear in AI answer engines like ChatGPT, Perplexity, and Google AI Overviews. Its product started as an analytics layer for AI search visibility and now includes research and marketing workflows to track competitors, shape content plans, and measure how AI systems recommend products. The platform analyzes AI-generated results and provides workflows that teams use to plan content and assess impact, rather than just traditional SEO tools. Its goal is to help large enterprises own and improve visibility in AI-generated answers, differentiating itself with a focused AEO/GEO approach and a large, growing customer base.

Company size
201-500
Company stage
Series D
Total funding
$334.5M
Headquarters
New York City, New York
Founded
2024

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