Hightouch jobs, judged for you, free

What they do

Hightouch makes an agentic marketing platform. Agentic means AI agents do the work. It runs on a composable CDP (customer data platform), which uses a company's own data warehouse to collect, prepare, and use customer data. Marketers use it to plan and ship campaigns. Hightouch started in 2019 in San Francisco and is a Series D startup.

What they value

• Forever hungry: never fully satisfied, and always push further.
• Kindness: people feel welcomed, encouraged, and supported.
• Efficient execution: speed matters, and most decisions are two-way doors.
• Impact driven: judge work by its business impact.
• Raising the bar: hire exceptional people, and prize slope over y-intercept.
• Humility: listen, and treat no work as beneath you.

Where they hire

Most roles are remote: 27 of 82 are open anywhere in North America, and 20 more are remote in a named region. Others are in the New York, San Francisco, and Denver offices, and in London, Paris, and Sydney. Postings say pay does not depend on location. No Posting mentions visa sponsorship.

Teams and roles

The board lists 82 open roles.

• Engineering (19): product, distributed systems, streaming, AI agents, security, developer productivity, machine learning, and forward deployed engineers.
• Sales and technical sales (25): enterprise and mid-market account executives, and pre-sales solutions engineers.
• Customer success (13): customer success engineers, technical account managers, and deployment architects.
• AI (6): strategy consultants, forward deployed designers, and a product manager.
• Business development, marketing, product, partnerships, recruiting, and finance.

Most engineering pay is $180,000 to $400,000. Hightouch sets pay the same in every location and adds equity.

What they look for

Many Postings ask for intellectual curiosity, high ambition, and humility, and for excellent spoken and written communication. Many sales, solutions, and engineering roles want experience with data warehouses such as Snowflake, Databricks, or BigQuery. Customer-facing roles often ask for SQL. Solutions engineers need 2 or more years of pre-sales for mid-market, and 5 to 7 or more for enterprise. Some Postings allow only one application for each candidate.