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Senior Product-Minded AI Engineer

Hightouch San Francisco Bay Area
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Join Hightouch as a Senior Product-Minded AI Engineer to develop AI solutions for marketing and growth teams. Utilize LLM applications to create seamless user experiences. Work on architecting production data agents and backend systems.

Key Highlights
Develop AI solutions for marketing and growth teams
Utilize LLM applications to create seamless user experiences
Architect production data agents and backend systems
Work on high-level system design and architecture
Collaborate with a remote-first team
Technical Skills Required
Backend architecture LLMs (Large Language Models) Cloud data warehouses (Snowflake, Databricks) Agentic AI Product intuition Technical skills in backend architecture
Benefits & Perks
Salary range: $180,000 - $320,000 USD per year
Location independent (remote-first policy)
Opportunity for growth and impact

Job Description


About Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About The Role

We’re looking to add a product-minded AI engineer to the team. The ideal candidate will have strong customer and product thinking, and the ability to be highly creative with LLM applications. We are looking for someone who can both rapidly prototype and architect production LLM pipelines.

Example workstreams include:

  • Quickly iterating and developing proofs of concept (POCs) to explore the maximum potential of integrating AI into data and marketing workflows
  • Making key decisions about the choice of AI architecture and frameworks
  • Building production data agents that can make use of a company’s data to seamlessly answer analytics and data science questions about their users and marketing efforts
  • Developing a deep understanding of user workflows to create seamless AI-assisted user experiences

We're seeking talented, intellectually curious, and motivated individuals interested in exploring the forefront of AI. While no prior experience with LLMs and AI is required, strong technical skills, particularly in backend architecture, and product intuition are essential for understanding and executing these projects from start to finish.

This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy.

Interview Process

Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense and creativity with LLMs, ability to architect backend systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.

  • Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
  • System Design Screen [60m]: Designing a data processing feature end-to-end.
  • Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
  • Agent Building Systems Interview [75m]: Work with the interviewer to architect an agentic system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.

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