Manager, Analytics Engineering, Data & AI Foundations

Hubspot; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

HubSpot is seeking a Manager, Analytics Engineering, Data & AI Foundations to lead Analytics Engineers responsible for shared data foundations, platform capabilities, and AI-enabled workflows. You will translate requirements into a prioritized roadmap and collaborate with cross-functional teams to scale data capabilities.

You’ll drive architecture reviews, establish standards, and ensure reusable, robust solutions while guiding a team through hiring, mentoring, and career development in a

Qualifications

• Experience leading Analytics Engineers or similar data professionals, with hiring and coaching responsibilities.
• Ability to translate vision into a practical strategy, roadmap, and operating model.
• Strong understanding of analysts' workflows and shared data assets.

Responsibilities

• Lead and develop a team of Analytics Engineers, focusing on career growth and high-impact priorities.
• Set vision and operating model; translate goals into a concrete roadmap with metrics.
• Collaborate with managers to improve composable agents, semantic models, and data assets.
• Work with analysts to incorporate feedback into platform strategy and delivery.
• Review architecture and implementation approaches; establish scalable standards.
• Prioritize cross-functional initiatives based on impact and capacity.
• Partner with AI readiness teams to deploy resources to high-priority work.
• Own core platform assets and tooling; drive reusable patterns and automation.
• Advance AI-assisted workflows and governance across the organization.
• Guide development of semantic models and metric layers for analytics and AI.

Skills

Analytics leadership

SQL

dbt

Python

Communication

Data modeling

Leadership

Team development

Tools

Snowflake

dbt

Looker

GitHub Enterprise Cloud

Job description

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Manager, Analytics Engineering, Data & AI Foundations

Operations

Remote - USA

POS-33330 Manager, Analytics Engineering, Data & AI Foundations

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 and lead Analytics Engineers responsible for the shared data foundations, platform capabilities, and AI enabled workflows that make HubSpot's Analytics Engineering organization more effective and scalable. You'll work across Analytics Engineering managers, analysts, analytics committees, and technical platform partners to understand workflows, identify friction, and turn feedback into a clear strategy and prioritized roadmap. You'll combine people leadership, technical judgment, change management, and hands on problem solving to help the organization adopt new ways of working.

In this role, you'll get to:

• Lead and develop a team of Analytics Engineers, supporting career growth, hiring and retention, regular feedback, and alignment to the highest-impact priorities
• Set the team's vision and operating model, translating broader Operations and Analytics Engineering goals into a focused roadmap and clear measures of success
• Partner with Analytics Engineering managers to understand team workflows and identify opportunities to improve composable agents, semantic models, shared data assets, and developer tooling
• Collaborate with analysts and analytics committees that use shared Analytics Engineering assets or build their own agents, incorporating their feedback into platform strategy and delivery
• Work with technical leaders to review architecture and implementation approaches, establish scalable standards, and ensure solutions are robust, practical, and reusable
• Prioritize a portfolio of cross functional initiatives, defining objectives, sequencing, responsibilities, and resource allocation based on impact and team capacity
• Partner with AI Readiness delivery teams to deploy implementation resources against the highest priority work and remove blockers through execution
• Own and evolve core platform assets, Analytics Engineering tooling, reusable patterns, and automation that raise the floor for every Analytics Engineer
• Advance our composable agentic Analytics Engineering delivery system and support responsible adoption of AI-assisted workflows across the organization
• Guide the development of semantic models and metric layers that serve as trusted, reusable foundations for analytics and AI consumption
• Establish and champion standards for data modeling, testing, code review, documentation, observability, reliability, and cost management
• Build enablement programs and cross‑functional partnerships that help teams adopt modern tools and practices, while staying close enough to the work to contribute hands‑on when it will accelerate progress

We are looking for someone with:

• Experience leading and developing Analytics Engineers or similar technical data professionals, including hiring, coaching, performance management, and career development
• Demonstrated ability to help define a vision and translate it into a practical strategy, roadmap, and operating model
• Strong understanding of analysts' workflows and the role of shared data assets, tooling, and standards in improving quality and scale
• Strong proficiency with SQL, data modeling, ETL, ELT, and modern data tools such as Snowflake, dbt, and Looker
• Hands‑on dbt experience, including scalable modeling patterns, testing, macros, and development workflows
• Experience building or managing shared data platform assets, developer toolkits, internal frameworks, semantic models, or metric layers
• Experience with AI assisted development and agentic workflows, such as Claude Code, composable skill based systems, AI agents, or MCP integrations
• A track record of leading complex, cross‑functional data initiatives from an ambiguous problem through production
• Experience driving change and adoption across a large or complex organization, including influencing without direct authority and building accountability across teams
• Strong prioritization and project management skills, including defining success criteria, sequencing work, and balancing impact with team capacity
• A DevOps mindset characterized by automation, collaboration, continuous improvement, reliability, and frequent iteration based on user needs
• Strong communication skills and the ability to distill technical decisions, trade‑offs, and strategy into clear business terms
• Experience working with globally distributed teams and version control tools such as GitHub Enterprise Cloud
• Experience with Python is a plus, but not required

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.

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.

Explore more:

• HubSpot Careers
• Life at HubSpot on Instagram

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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 .

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