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.
In this role, you will lead a team of Customer Success Engineers responsible for quickly removing customer blockers and improving the experience for all customers through documentation, best practices, and product feedback. Your team serves as the technical backbone of the customer journey, ensuring fast, accurate resolution of issues from pre-sale through post-sale.
As a hands-on leader, you will combine technical depth with strong people leadership to build a team that operates efficiently, communicates clearly, and relentlessly removes friction for our customers. You’ll scale processes that help customers succeed today while partnering closely with Engineering, Product, and Design to influence how the platform evolves tomorrow.
You Will People Leadership & Development- Hire, mentor, and develop a high-performing team of Customer Success Engineers.
- Build a culture centered on accountability, ownership, efficient execution, and clear communication.
- Establish goals and performance metrics that reflect both customer outcomes and internal process excellence.
- Develop training, documentation, and structured onboarding to uplevel the team’s technical and customer-facing skills.
- Ensure your team rapidly unblocks customers across onboarding, adoption, and ongoing usage.
- Lead complex technical escalations and provide guidance in ambiguous or high-impact situations.
- Identify patterns across customer engagements and drive improvements in workflows, tooling, and knowledge-sharing.
- 3–5 years of people management experience leading technical customer-facing teams.
- Demonstrated ability to build, scale, and uplevel teams in fast-paced environments.
- Strong understanding of APIs, data models, data warehouses, integrations, and SaaS architectures.
- High level of comfort and proficiency in communicating effectively across diverse internal and external organizations, including cross-functional collaboration with sales, product, and engineering.
- Intellectual curiosity, strong empathy for customer challenges, and the ability to operate with high velocity in a dynamic environment.
- Startup experience, particularly within a high-growth SaaS company.
- Experience with Snowflake, Databricks, Redshift, BigQuery, or similar warehouse technologies.
- Background in marketing technology, customer data platforms (CDPs), or activation workflows.
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 $130,000-$160,000 USD per year which is location independent in accordance with our remote-first policy.
Top Skills
Hightouch New York, New York, USA Office
Our NY office is located in Chelsea and just a quick stop from several train and bus stations as well as many nearby restaurants, museums and parks.
Similar Jobs
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
