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Hightouch

AI Solutions Consultant

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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

Are you skilled at breaking down complex technical concepts while also having the creative intuition to recommend high-value marketing campaigns? Hightouch is looking for a Solutions Consultant who will be in charge of helping educate and sell AI Decisioning to large enterprises.

A day in the life of an AI Decisioning Consultant will look like:

  • Working with some of the largest companies in the world in a client-facing role
  • Educating customers on the what and the why of AI Decisioning
  • Scoping out use cases and selling the value of AI Decisioning in front of customer/prospective marketing, data, and data science teams
  • Showcasing custom demos to help customers understand how AI Decisioning can fit into their business
  • Owning the PoC process for AI Decisioning to help validate customer requirements

What We're Looking For

  • 5-10 years of experience deploying or consulting on lifecycle or growth marketing campaigns
  • Enterprise selling experience
  • Strong discovery and interpersonal skills
  • Intellectual curiosity, high ambition and humility
  • Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy

Bonus If You Have

  • Experience with Customer Data Platforms
  • Experience selling Martech and/or Data Solutions

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We focus on impact and potential for growth more than years of experience. The salary range for this position is $170,000-$220,000 (70/30 split variable) USD per year.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
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