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.
Journeys is one of Hightouch’s fastest growing product areas, focused on building the orchestration layer that powers modern marketing automation. Journeys enables customers to design and execute personalized, multi-step workflows that react to real time events, customer data, and AI-generated content, all directly from the warehouse.
We’re looking to add a product minded backend engineer to the team. The ideal candidate is deeply curious about how systems interact over time, and has experience building and debugging distributed architectures that prioritize reliability, observability, and fault tolerance. You’ll think holistically about how to represent user defined workflows as scalable, durable systems that handle millions of messages, retries, and customer automations every day.
Some of the problems we’ll be working on include:
- Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
- Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
- Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
- Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. 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. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
Interview ProcessOur interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed 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 [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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