POS-31224

The AI Transformation Program Manager will be a key member of Hub Spot’s Finance Transformation team, leading high impact AI initiatives that automate Finance processes using AI agents, bots, and intelligent workflow solutions. This role sits at the center of Finance, Technology, and functional process teams, leading initiatives that modernize core Finance operations, reduce manual effort and unlock strategic capacity across the Finance Organization..

You will own AI-enabled transformation projects from discovery through adoption, partnering closely with Finance Systems, Engineering, Fin Tech Integration, Data, and functional SMEs across P2P, Payroll, QTC, Accounting, Internal Audit, and FP&A. You will be responsible for conducting end-to-end process walkthroughs, gathering business requirements, managing change, and guiding teams through the adoption of AI-powered automation solutions.

This role requires strong Finance process knowledge, experience with modern AI technologies, structured program and project management discipline, and the ability to influence and drive change in a fast-moving environment.

Responsibilities

• Develop and maintain a Finance AI roadmap, including opportunity sizing, prioritization, and business case development.

• Lead end-to-end Finance process automation initiatives using AI agents, bots, and intelligent workflow tools, with a focus on high-volume transactional areas such as invoice processing, contract lifecycle management, SOX testing, collections, accruals, and monthly close tasks.

• Conduct detailed current-state process analysis and Gemba walkthroughs, collaborating with functional stakeholders to identify inefficiencies and automation opportunities.

• Gather, document, and validate detailed business requirements, partnering with Finance teams to complete BRDs and facilitate clear scope definition for AI solution design (aligned with the Transformation PM best practices).

• Lead cross-functional project planning, discovery, design, and implementation, collaborating with Tech teams (AI Engineers, Fin Tech Integration Specialists, RPA/Automation specialists) to evaluate, select, and deploy AI solutions.

• Drive change management, including communication plans, stakeholder alignment, training, and adoption strategies to ensure successful rollout of AI-enabled transformations.

• Establish KPIs and success metrics for automation initiatives, measure ROI, and track time savings, accuracy improvements, compliance enhancements, and reduced manual workloads.

• Identify risks and develop mitigation strategies in partnership with audit and compliance teams, ensuring solutions meet regulatory and control requirements.

• Support governance processes for Finance AI, including adherence to data governance for reliable AI performance, solution approval frameworks, controls, regulatory and SOX compliance, and audit documentation..

• Partner with Finance Systems, Business Systems Engineering, and Data teams to ensure seamless integration of AI automation across systems such as Workday, Net Suite, Coupa, Service Now, Flo Qast, and other enterprise applications.

Requirements

• Bachelor’s or master’s degree in Finance, Accounting, Business Administration, Information Systems, or related field.

• 6–10+ years of experience in Finance transformation, Finance operations, program management, or technology-enabled process improvement roles.

• Demonstrated experience leading AI-enabled or automation-focused implementations (AI agents, ML-driven tools, RPA, workflow automation platforms, etc.) for Finance functions.

• Strong understanding of end-to-end Finance processes—particularly P2P, QTC, Accounting close, Payroll, and SOX—and the ability to quickly assess process gaps and automation potential.

• Proven track record of driving large-scale transformation initiatives from inception through implementation, delivering measurable results and value creation.

• Strong project management skills with experience in cross-functional coordination, requirements documentation, roadmap planning, and managing dependencies and risks.

• Demonstrated ability to influence stakeholders, drive alignment across Finance and Technology teams, and manage change in complex environments.

• Familiarity with AI and automation technologies (e.g., Workato Agentic AI, RPA, AI tools embedded within Finance systems (Net Suite, Anaplan, Coupa, etc.).

• Excellent communication skills, with the ability to translate technical AI capabilities into business outcomes and process improvements.

• Knowledge of controls, compliance requirements, and governance frameworks for Finance technology implementations.

Pay & Benefits

The cash compensation below includes base salary, on-target commission for employees in eligible roles, and annual bonus targets under Hub Spot’s bonus plan for eligible roles. In addition to cash compensation, some roles are eligible to participate in Hub Spot’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 Hub Spot’s compensation philosophy.

Benefits are also an important piece of your total compensation package. Explore the benefits and perks Hub Spot offers to help employees grow better.

At Hub Spot, 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.

Annual Cash Compensation Range:$118,500—$189,600 USD

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 Hub Spot, 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 Hub Spot 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 Hub Spot's Career Diversity page here.

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

About Hub Spot

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

At Hub Spot, 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, Hub Spot is headquartered in Cambridge, MA, with employees and offices around the world.

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