AI Data Architect, GTM Data

Revenue Operations

Remote - USA

HubSpot’s mission is to Help Millions of Companies Grow Better, and we believe recent advances in AI/ML will allow our internal Go-to-Market (GTM) teams to more effectively serve even more companies, helping them to grow. We’re seeking a talented AI Architect to join our GTM Data and Systems team as part of a newly-formed GTM AI team supporting our internal Sales and Customer Success (CS) clients through the delivery of scalable AI/ML and other data products to improve the efficiency and efficacy of frontline Sales and Customer Success reps and solve for their pain points. You will get to help shape the way we use and deploy AI within HubSpot!

You will be joining a high-growth, high-powered GTM Data team of Analytic Engineers, Data Scientists, Data Engineers, and ML Engineers that deeply values intellectual curiosity, collaboration, and autonomy. The algorithms, insights, and data products we develop allow our Sales and CS reps to more effectively support our prospects and customers. It’s an exciting opportunity to make an enormous impact in a rapidly growing space–we’ve got big plans and want talented, passionate engineers to help us achieve them! (HubSpot is early in its GTM AI maturity curve, which provides a unique opportunity for enormous impact.)

You will work collaboratively not only with Data and ML Engineers on the team, but also the ML Ops team (who provide model deployment, monitoring, and orchestration support), the GTM Data Platform team (who provide analytic feature stores and access to new data sources), our Flywheel Product team (who provide the front-end experiences reps interact with on a daily basis), and many other teams across HubSpot, particularly Legal, Privacy & Security to ensure compliance of our AI architecture.

Objectives of this Role

• Lead the development and evolution of our GTM AI architecture strategy, ensuring ethical and efficient use of open-source, commercial, and in-house solutions to maximize business impact
• Design, implement, and maintain secure, accurate, reliable, and ethical AI solutions at scale (both batch and real-time) that integrate seamlessly with the broader HubSpot software ecosystem
• Provide both thought leadership and hands-on coding (python and java) to bring AI/Generative AI (GAI) use cases to life across GTM
• Evaluate and help select AI tools, technologies, and strategies, balancing complexity and time to value to meet stakeholder needs
• Provide subject matter expertise across the model lifecycle, from feature stores (ensuring on- and off-line consistency), model development, orchestration and deployment strategies, through feedback loops and monitoring
• Build strong relationships with our business partners to understand the B2B SaaS business model and the particular challenges facing our GTM teams to translate their needs and requirements into AI solutions
• Architect solutions and processes to integrate AI solutions with the broader HubSpot ecosystem, both back-end processes and front-end rep-facing systems
• Keep current with the research and trends in AI/ML/GAI, and contribute to the development of new algorithms, packages, and techniques
• Participate in code reviews, testing, and documentation activities, ensuring high quality and maintainability of the codebase
• Mentor ML Engineers, Data Engineers, and Data Scientists to improve their understanding and execution of the rapidly evolving AI field

About you:

• Degree in computer science, AI, data science, applied mathematics, economics, or other quantitative discipline
• 8+ years experience in AI/ML with multiple models deployed in operational settings, preferably with at least one GAI model in deployment
• Expertise in designing scalable, modular, and maintainable software architectures
• Proven hands-on track record of delivering high-impact AI products, including integration into existing software ecosystems
• Strong familiarity with Generative AI concepts and technologies and the trade-offs of different LLMs

• Experience designing robust AI systems and monitoring strategies for both batch and real-time use cases
• Proficiency with standard deployment stack (Kubernetes, Docker, kafka, etc.)
• Fluent proficiency with multiple standard Python ML/AI frameworks (Scikit-learn, h2o.ai, TensorFlow, PyTorch, Jax, Keras, HuggingFace, LangChain, etc.)
• Sufficient Java fluency to navigate HubSpot’s largely Java-based ecosystem 
• Strong SQL skills and familiarity with Snowflake (or similar cloud warehouse)
• Strong understanding of RESTful API design principles and best practices
• Familiarity with CI/CD systems (e.g. GitHub Actions, Jenkins, CircleCI, etc.)
• Familiarity with monitoring & alerting systems (Monte Carlo, DataDog, Cloudwatch, GreatExpectations, etc.)
• Able to clearly communicate highly technical concepts to business leaders in both slides and memos
• Curious, creative, collaborative problem solver with experience delivering iterative solutions to difficult problems

Bonus points:

• MS or PhD in quantitative field
• Expert Java programming skills
• Prior academic or industrial experience with LLMs or RAG flows
• Prior experience supporting GTM teams or functions, especially in B2B SaaS companies
• Familiarity with dbt and jinja
• Familiarity with vector databases

Cash compensation range: 188500-301600 USD Annually

This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy from Katie Burke, HubSpot’s Chief People Officer.

The cash compensation above includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under HubSpot’s bonus plan for eligible roles. In addition to cash compensation, all HubSpotters are eligible to participate in HubSpot’s equity plan to receive restricted stock units (RSUs). Some roles may also be eligible for overtime pay. Individual compensation packages are based on a few different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

We know that benefits are also an important piece of your total compensation package. To learn more about what’s included in total compensation, check out some of thebenefits and perks HubSpot offers to help employees grow better.

At HubSpot, fair compensation practices isn’t just about checking off the box for legal compliance. It’s about living out our value of transparency with our employees, candidates, and community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.

If you need accommodations or assistance due to a disability, please reach out to us using this form. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

Germany Applicants: (m/f/d) - link to HubSpot's Career Diversity page here.

About HubSpot

HubSpot (NYSE: HUBS) is a leading customer relationship management (CRM) platform that provides software and support to help businesses grow better. We build marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. We’re also building a company culture that empowers people to do their best work. If that sounds like something you’d like to be part of, we’d love to hear from you.

You can find out more about our company culture in the HubSpot Culture Code, which has more than 5M views, and learn about our commitment to creating a diverse and inclusive workplace, too. Thanks to the work of every employee globally, HubSpot was named the #2 Best Place to Work on Glassdoor in 2022, and has been recognized for award-winning culture by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more.

Headquartered in Cambridge, Massachusetts, HubSpot was founded in 2006. Today, thousands of employees work across the globe in HubSpot offices and remotely. Visit our careers website to learn more about culture and opportunities at HubSpot.

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