HubSpot's mission is to Help Millions of Organizations Grow Better. HubSpot's Operations team is core to this goal by supporting the HubSpotters who drive growth and serve HubSpot's customers. Our goal in Operations is to embed advanced analytics and algorithmic intelligence into the DNA of decision-making across HubSpot. Flexible, well-connected, well-architected data are the backbone of our strategy, along with the Analytics Engineers who create that landscape.

In this role, you'll join the Data & AI Foundations team to design and build a modern data foundation for efficient models and analyses. Your work will directly support analytic and ML products that change the way we make decisions across HubSpot. You'll bring a strong interest in building flexible, reusable architecture for our highest-value data assets, while also shaping the internal tooling, agentic workflows, and standards that make the entire AE team more effective and scalable.

In this role, you'll get to:

Build and optimize the performance of data pipelines and analytical tools for scale
Own and evolve core platform assets, AE tooling, reusable patterns, and automation that raise the floor for every AE on the team
Contribute to our composable agentic AE delivery system, a pipeline of AI-powered skills that automates the full delivery lifecycle from context to merged PR
Design and maintain semantic models that serve as the trusted, reusable foundation for analytics and AI consumption across the organization
Build internal AI agents and data-grounded tools, integrating RPC-based capabilities via MCP servers
Design and implement cost strategies for shared data assets, pipelines, and compute usage
Define and deploy scalable data ingestion, replication, and transfer patterns across systems
Foster innovation with emerging technologies and by staying current with industry trends
Guide professional development of the team through technical leadership
Partner with stakeholders to solve business problems with technical solutions
Build out scalable data models to analyze key parts of the HubSpot business
Expand our suite of dbt patterns and macros to enable flexible and easily extensible data structures
Drive data observability and pipeline reliability using tools like Monte Carlo
Establish scalable patterns and standards for analytical application development in Hex
Lead working groups, scope requirements, and usher projects through the entire lifecycle
Maintain detailed documentation of data pipelines, processes, and best practices

We are looking for someone with:

Expert knowledge of modern data tools (such as Snowflake, dbt, and Looker)
Extensive proficiency in SQL, data modeling, ETL, ELT, and data transformation
Deep dbt expertise including advanced modeling patterns, macros, and package development
Experience developing slowly changing dimension (SCD) tables from multiple sources
Successful experience leading complex, cross-functional data initiatives from ambiguous problem to production
Experience building or maintaining shared data platform assets, developer toolkits, or internal frameworks
Experience designing semantic models or metric layers for analytics or AI consumption
Proficiency with AI-assisted development tools such as Claude Code, including agentic pipeline design and composable, skill-based workflows
Comfort building AI agents and integrating external tools and services via MCP servers
Experience utilizing version control tools (such as GitHub Enterprise Cloud)
A DevOps mindset characterized by automation, collaboration, continuous improvement, and a hyperfocus on user needs and frequent iteration
Strong communication skills and ability to distill technical solutions into business terms
Experience with Python is a plus, but not required

We know the confidence gap and impostor 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.

At HubSpot, we value both flexibility and connection. Whether you’re a Remote employee or work from the Office, we want you to start your journey here by building strong connections with your team and peers. If you are joining our Engineering team, you will be required to attend a regional HubSpot office for in-person onboarding. If you join our broader Product team, you’ll also attend other in-person events, such as your Product Group Summit and other gatherings, to continue building on those connections.

If you require an accommodation due to travel limitations or other reasons, please inform your recruiter during the hiring process. We are committed to supporting candidates who may need alternative arrangements

Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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

India Applicants: link to HubSpot India's equal opportunity policy here.

About HubSpot

HubSpot (NYSE: HUBS) is an AI-powered customer platform with all the software, integrations, and resources customers need to connect marketing, sales, and service. HubSpot's connected platform enables businesses to grow faster by focusing on what matters most: customers.

At HubSpot, bold is our baseline. Our employees around the globe move fast, stay customer-obsessed, and win together. Our culture is grounded in four commitments: Solve for the Customer, Be Bold, Learn Fast, Align, Adapt & Go!, and Deliver with HEART. These commitments shape how we work, lead, and grow.

We’re building a company where people can do their best work. We focus on brilliant work, not badge swipes. By combining clarity, ownership, and trust, we create space for big thinking and meaningful progress. And we know that when our employees grow, our customers do too.

Recognized globally for our award-winning culture by Comparably, Glassdoor, Fortune, and more, HubSpot is headquartered in Cambridge, MA, with employees and offices around the world.

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HubSpot may use AI to help screen or assess candidates, but all hiring decisions are always human. More information can be found here. By submitting your application, you agree that HubSpot may collect your personal data for recruiting, global organization planning, and related purposes. We may use CLEAR ID Verification during the hiring process to confirm your identity and help maintain a safe, secure, and trusted experience for all candidates. Refer to HubSpot's Recruiting Privacy Notice for details on data processing and your rights.

Staff Analytics Engineer

Job Description