Hightouch hiring Machine Learning Engineer, AI Decisioning • Remote (Work from Home) | Himalayas
HightouchHI

Machine Learning Engineer, AI Decisioning

Hightouch is a Composable Customer Data Platform (CDP) that empowers companies to activate their data warehouse to power personalized marketing and business operations.

Hightouch

Employee count: 51-200

Salary: 200k-260k USD

AI, AG + 39 more

About Hightouch

Hightouch’s mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust Hightouch to power their growth.

We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With Hightouch, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

Our team focuses on making a meaningful impact for our customers. We approach challenges with a first-principles mindset, 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.

What else? We’re based in San Francisco but have team members all over the world. Our Series C put us at a $1.2B valuation, and we are backed by leading investors such as Sapphire Ventures, Amplify Partners, ICONIQ Growth, Bain Capital Ventures, Y-Combinator, and Afore Capital.

About the Role

We’re looking to hire a machine learning engineer as we expand our data activation products to include an intelligence layer. While hundreds of companies use Hightouch today to sync data into their SaaS systems to automate and improve operations, there’s a lot of surface area we haven’t touched in helping companies figuring out which customers to message, what content to put in messages, and when to send messages. A lot of this work today is done manually through intuition and guesswork, and we believe that adding machine learning could have a step function impact for our customers. And given our access to data warehouses and databases, Hightouch is perfectly placed to make use of a company’s customer data in building a powerful intelligence layer.

Some of the problems we’ll be working on include:

  • Personalization and Product Recommendation: There are often many options for what content a company could message a user with, including which products to show from catalogues. Given this large state space, how can Hightouch help personalize messages with the most relevant content for each user?
  • Automated Experimentation: Helping companies intelligently navigate and automate experiments across the extensive number of options for messaging customers.
  • Predictive Audiences: Building models to predict which users are most likely to convert, churn, or take desired actions.
  • Content Generation: Particularly with recent advances in LLMs, how can we help marketers generate text, images, and creatives that are compelling to their customers?
  • Budget Optimization: Helping companies assess which marketing spend is driving the most incremental conversions, and where the marginal CAC is lowest.

As an early machine learning engineer, you will help build comprehensive solutions to the above domains from scratch. Responsibilities will be highly varied and include working on customer research, problem definition, predictive modeling, machine learning infrastructure, and partnering with customers.

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 $200,000 - $260,000 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, 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.

  • Intro Call [15-30m]: Introductory call with either a member of our recruiting team or the hiring manager 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.
  • Machine Learning Modeling Interview [90m]: Designing a predictive model end-to-end, including data collection and preparation, model training and evaluation, and what systems would be needed to run the model in production.
  • 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.
  • Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.

About the job

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Job type

Full Time

Experience level

Mid-level
Senior

Salary

Salary: 200k-260k USD

About Hightouch

Learn more about Hightouch and their company culture.

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We're Hightouch, and we're on a mission to make the best customer data technology in the world available to every enterprise. We were founded by engineers who, after years of working with customer data platforms and AI, saw the transformative impact of enabling business and marketing teams to activate customer data. However, they also recognized the limitations of existing rigid tools like legacy Customer Data Platforms. By building a platform that sits on top of an organization's existing data infrastructure, our founders knew that teams could unlock a more performant, flexible, and secure solution to activating customer data at scale — and thus, Hightouch was born.

Our Composable Customer Data Platform (CDP) empowers companies to activate their data warehouse to power personalized marketing and business operations. We enable anyone to deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization. With Hightouch, you can use your data warehouse to power business growth. Enterprises use our platform to collect behavioral events, resolve identities into Customer 360 profiles, build audiences, sync data to over 200 destinations like ad platforms and CRMs, and analyze the results of marketing campaigns. We've built a product that can handle the scale of the largest enterprises' most intense customer data use cases. Now, we are dedicated to helping enterprises around the world leverage the most innovative technologies in AI and customer data to grow their business. We believe in a future where marketers can break free from manual work, using AI to achieve 1:1 personalization by simply setting goals and letting AI agents decide the next best action for each individual customer.

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