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.
We are looking for a software engineer to join our Streaming Systems team, working on the high-throughput systems that collect, forward, and perform real time computation on billions of behavioral events from our customers’ users. You'll be building the infrastructure that ingests clickstream, product interaction, and transactional data into our platform. This data is the platform for our “Cursor for Marketers” AI agent product.
Our streaming products’ revenue has 10x’d over the past year, and we need to ensure that we continue to scale. Our infrastructure needs to handle millions of messages per second at single second latency end to end. Recently, we added a computation engine that allows personalizing user experiences in real-time based on live behavior; we’re seeing 7-figure market response in the first few months and need to scale up to meet demand.
We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. You will own and deliver projects from start to finish, work directly with customers to solve their hardest scaling problems, and have significant influence over our technical roadmap.
The base salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. A large portion of the compensation will be in the form of equity via ISO options. We offer early exercise and a 10 year post-termination exercise window.
About YouYou are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.
You have experience and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms.
Some useful, but not necessary, experience:
- Experience with streaming systems like Kafka, Kinesis, Pulsar, Warpstream
- Experience with high RPS, low p99 latency systems
Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.
- Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
- 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 [45m]: 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.
- System Design Interview [90m]: Work with the interviewer to architect a 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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