Jobs at Hightouch

The Partner Solutions Engineer builds relationships with partner SEs and technical leaders, supports partner sales with technical needs, and drives partner-informed product enhancements through collaboration with key ISVs.

Design and iterate on Hightouchs Agents product: build 0-1 AI marketing tools, produce rapid prototypes and high-fidelity UI, conduct customer research, synthesize data-driven insights, drive product strategy, and collaborate closely with designers, engineers, and PMs to ship features.

Drive operating model, quarterly reforecasts, cash flow and budget-versus-actuals. Maintain driver-based models, strengthen SaaS metrics, support board reporting, partner with Accounting/RevOps/Data, and lead ad hoc strategic and scenario analysis to inform executive decisions.

You will audit GTM workflows, design AI workflows, maintain AI context layers, train teams on AI tools, and integrate solutions within RevOps.

Lead creative for enterprise email lifecycles by translating brand guidelines into agentic AI workflows, producing on‑brand email creative, running A/B tests to drive performance, and shaping product and playbooks to scale email quality across customers.

We are seeking a product-minded backend engineer to work on our Customer Studio product, focusing on data performance, analytics, audience syncing, and generative AI. The role requires strong architecture, scalability considerations, and product engagement.

Lead the Streaming Systems team, building high-throughput, low-latency infrastructure for real-time computation on billions of events. Mentor engineers and solve complex scaling challenges directly affecting marketing AI products.

The role involves developing tools for enterprises to manage Hightouch deployments, focusing on access control, change management, and data warehouse performance.

The Software Engineer will work on high-throughput streaming systems, scaling infrastructure to manage billions of events, ensuring low-latency and high performance while delivering projects from start to finish with significant ownership.

Explore customer needs and oversee their journey through onboarding to ensure successful adoption of the Hightouch platform, applying strong technical and project management skills to guide customers effectively.

The Customer Success Engineer will work with users to maximize the platform's value, providing technical support and collaborating with various teams.

Join Hightouch as a front-end focused full stack engineer, building user-friendly interfaces and collaborating with teams to enhance customer engagement through data.

The Forward Deployed Marketing Data Scientist will work with AI customers and engineering teams to optimize AI-driven marketing campaigns through data analysis, diagnostics, and communication of insights to stakeholders.

The Solutions Engineer will engage with customers to solve their data strategy problems, working closely with sales and internal teams to provide tailored solutions.

The Implementation Manager oversees customer onboarding, implements technical solutions, optimizes processes, and collaborates with clients and internal teams to ensure successful integrations.

The Web Engineer will lead the development and maintenance of Hightouch's marketing website, collaborating with design and marketing teams to create exceptional user experiences and engaging animations.

Lead the engineering team managing 300+ destination integrations, focusing on technical execution, product improvements, and mentoring engineers while ensuring customer satisfaction.

The AI Strategy Consultant will drive marketing strategy using AI, work with teams to implement solutions, and enhance customer outcomes.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

The role involves rapid prototyping and architecting production LLM pipelines for AI in marketing workflows. Responsibilities include developing proofs of concept, making AI architecture decisions, building production data agents, and understanding user workflows for seamless AI experiences.