THE LEGAL TEAM
Who We Are
HubSpot’s Legal team is a proactive, business-enabling partner, not a back-office function. We help our teams move fast, smart, and responsibly. As HubSpot transforms into an AI-native company, Legal isn’t just keeping pace. It’s leading the way. We’re building an AI-first legal team that scales judgment, not just headcount, and delivers clarity and speed at every level of the business.
How We Work
At HubSpot, Legal is a growth engine. We value clarity over complexity, ownership over bureaucracy, and systems thinking over one-off heroics. If you believe the best legal teams aren’t just staffed well, they’re engineered well. Let’s talk.
THE ROLE
We’re hiring a Head of Legal Operations & Innovation to serve as the primary architect and builder of AI-powered solutions within HubSpot’s Legal team. The goal: combine human judgment with AI capability so Legal can operate at a speed and scale it couldn’t reach alone. This is a full-stack ownership role spanning strategy, opportunity identification, solution design, deployment, governance, and capability transfer, in partnership with the CLO, Legal leadership, and IT.
This role is for someone who builds production systems, not slide decks: someone who can assess a workflow in the morning, design the right AI approach by afternoon, and be measuring impact by end of month.
WHAT YOU’LL DO
- Transform How We Work
- Own the strategy and roadmap. Define Legal’s AI transformation strategy and multi-horizon roadmap in partnership with the CLO and Legal leadership: which opportunities to prioritize, in what order, and why. Stay current with the legal tech and AI market to make informed build vs. buy decisions, knowing when commercial tools, custom builds, or AI-augmented solutions best serve Legal’s needs. Own the roadmap. Drive it.
- Know what to build and how. Assess how legal work flows across intake, contracting, research, advice, and reporting. Apply the right approach: workflow automation for deterministic, rules-based processes; an AI agent when the work requires multi-step reasoning and judgment; a redesign of the process itself when the real problem is how the work flows, not how fast it runs.
- Build for production. Design and deploy AI-powered workflows across priority use cases with error handling, audit trails, privilege-awareness, and human-in-the-loop checkpoints built in from the start. Partner with IT to build and integrate what you design.
- Manage Governance and Risk
- Risk-tier every build. Classify all automation by risk tier before work begins. No build goes to production without a named process owner, documented data flows, access controls confirmed, and privilege impact assessed.
- Govern what you deploy. Maintain audit logging for all systems touching privileged work product, attorney communications, or regulated data. Halt or redesign builds that introduce unacceptable privilege, regulatory, or data privacy risk, own that decision, and secure organizational acceptance before proceeding.
- Own the data layer. Design data flows so legal data, contracts, matters, requests, and workflow events, is structured, queryable, governed for privilege, and ready for analytics and AI use cases. Own data quality, lineage, and auditability across systems.
- Upskill the Team
- Build AI fluency across the team. Train attorneys and legal staff on AI-assisted tools and workflows in production. Build confidence and capability so Legal compounds over time, human judgment and AI working together, not in parallel.
- Build for scale and handoff. Produce documentation, workflow templates, and runbooks that team members can use and maintain without ongoing technical support. Keep Legal’s SOPs, playbooks, and precedent libraries current, findable, and where possible AI-searchable.
- Make the impact visible. Track and report quarterly on automation impact: turnaround time reduced, matters per attorney increased, attorney capacity unlocked for higher-judgment work. Set baselines, define targets, and hold the program accountable to both.
WHAT SUCCESS LOOKS LIKE
- Legal workflows are faster, more scalable, and more resilient through a mix of automation, agents, and human review.
- AI-powered systems are deployed responsibly, with clear guardrails and measurable impact.
- Legal data is structured, usable, governed for privilege, and trusted across systems.
- The legal tech stack has a clear, extensible architecture that supports rapid iteration. No shelfware. No abandoned launches.
WHAT YOU’LL BRING
- 8+ years in a technical, operations, or engineering-adjacent role with demonstrated execution of automation and AI solutions at scale.
- Hands-on experience designing and deploying AI-powered or automated workflows in a production environment used by others, not just experimentation.
- Strong hands-on experience with API integration and middleware, including REST APIs, JSON, webhooks, auth, error handling, and observability.
- Comfort with scripting or automation, for example Python or SQL, for building integrations, automations, and backend services.
- Hands-on experience building with LLM APIs, including tool-calling and multi-step agentic workflows.
- Experience designing agentic systems with human-in-the-loop review and safety constraints.
- Demonstrated ability to translate ambiguous operational requirements into reliable, production-grade technical systems.
- Strong systems thinking around reliability, security, permissions, and data integrity.
- Solid understanding of data classification, PII handling, and applicable privacy and data protection obligations.
- Experience implementing governance and risk frameworks for AI or automation systems, including risk tiering, human review gates, audit logging, and data classification.
- Strong written and verbal communication skills, able to translate technical solutions for lawyers, senior leadership, and non-technical stakeholders.
NICE TO HAVES
- Experience working with lawyers or within a legal department, understanding how legal work product is produced and reviewed, and how attorney-client privilege applies to technology systems.
- Hands-on experience with legal technology platforms: CLM systems, matter management, spend management, or legal research tools.
- Background in legal operations including intake design, vendor management, knowledge management, or reporting.
- Experience using AI for document analysis, contract review, research summarization, or regulatory analysis.
- Prior experience standing up a legal technology, legal automation, or legal innovation function.
WHY HUBSPOT
HubSpot’s mission is to help millions of organizations grow better. Our AI-powered customer platform, anchored in our Smart CRM, powers marketing, sales, service, CMS, operations, and commerce for over 260,000 customers in 135+ countries.
We’ve built a world-class legal team. Now we’re building the operating model to match, and this role is where that work gets done. Not planned. Not pitched. Done. If you want to be the person who engineers what an AI-first legal function looks like in practice and can point to the workflows, systems, and outcomes you built, this is the right seat.
Pay & Benefits
The cash compensation below 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, some roles 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 tailored to your skills, experience, qualifications, and other job-related reasons.
This resource will help guide how we recommend thinking about the range you see. Learn more about HubSpot’s compensation philosophy.
Benefits are also an important piece of your total compensation package. Explore the benefits and perks HubSpot offers to help employees grow better.
At HubSpot, fair compensation practices aren’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 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.
Explore more:
- HubSpot Careers
- Life at HubSpot on Instagram
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.
Skills Required
- 8+ years in a technical, operations, or engineering-adjacent role with demonstrated execution of automation and AI solutions at scale.
- Hands-on experience designing and deploying AI-powered or automated workflows in a production environment.
- Strong hands-on experience with API integration and middleware, including REST APIs.
- Comfort with scripting or automation, for example Python or SQL.
- Hands-on experience building with LLM APIs, including tool-calling and workflows.
- Experience designing agentic systems with human-in-the-loop review.
- Demonstrated ability to translate ambiguous operational requirements into technical systems.
- Strong systems thinking around reliability, security, permissions, and data integrity.
- Solid understanding of data classification and privacy obligations.
- Experience implementing governance and risk frameworks for AI or automation systems.
- Strong written and verbal communication skills.
HubSpot Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about HubSpot and has not been reviewed or approved by HubSpot.
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Equity Value & Accessibility — Equity grants like RSUs and access to an employee stock purchase plan are seen as meaningful parts of total compensation. Feedback suggests these, alongside competitive base pay, help many feel their contributions are rewarded.
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Leave & Time Off Breadth — Flexible time off, generous parental leave, and a paid sabbatical after tenure provide substantial opportunities to rest and recharge. Feedback suggests this breadth supports a strong work-life fit.
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Wellbeing & Lifestyle Benefits — Comprehensive wellness resources—mental health support, fitness reimbursements, and everyday conveniences like meals or stipends—enhance the overall package. Feedback suggests these perks add tangible value beyond salary.
HubSpot Insights
What We Do
HubSpot is a leading CRM platform that provides software and support to help businesses grow better. Our platform includes marketing, sales, service, and website management products that start free and scale to meet our customers’ needs at any stage of growth. Today, thousands of customers around the world use our powerful and easy-to-use tools and integrations to attract, engage, and delight customers. HubSpot was named Glassdoor’s #4 Best Place to Work in 2021, and our award-winning culture has been recognized by Great Place to Work, Comparably, Fortune, Entrepreneur, Inc., and more. We build connections, careers, and employee growth by creating a workplace that values flexibility, autonomy, and transparency. You can learn more about our commitment to creating an inclusive and diverse workplace in the HubSpot Culture Code. HubSpot is a hybrid company with employees working fully remotely, from an office, or a mix of the two. We are headquartered in Cambridge, MA with offices in Dublin, Ireland; Singapore; Sydney, Australia; Tokyo, Japan; Berlin, Germany; Paris, France; Bogotá, Colombia; Ghent, Belgium; San Francisco, CA; Portsmouth, NH; London, UK; Toronto, Canada.
