Corporate Sales Manager Jobs in Massachusetts

ABOUT THE ROLE

We are seeking a strategic and execution-oriented Enablement Programs Lead to build and scale enablement programs that drive seller readiness, capability development, and measurable business outcomes across our Health Learning, Research & Practice (HLRP) organization. This role sits at the center of our enablement ecosystem, translating business priorities into structured, scalable solutions that improve sales execution and accelerate growth.

The ideal candidate combines strong program design and execution capabilities with a passion for learning, capability development, and cross-functional collaboration. This role is both a builder and operator—responsible for developing, codifying, and operationalizing enablement frameworks and programs that can be consistently leveraged across segments. You will work closely with Segment Enablement Leads, who own prioritization and delivery within their respective segments, to co-create solutions that can be effectively implemented and adapted to meet segment-specific needs.

This role is highly hands-on, working alongside Segment Enablement Leads and cross-functional partners to build, assemble, and operationalize programs and content—not just define frameworks. You will collaborate with Sales, Product Marketing, Sales Operations, and subject matter experts to bring together the right inputs and translate them into cohesive, high-quality enablement solutions. You will also embed modern, AI-augmented approaches to improve scalability, consistency, and impact.

Responsibilities

• Build, codify, and operationalize scalable enablement programs and frameworks that drive consistent capability development across HLRP

• Partner with Segment Enablement Leads to co-create solutions that can be effectively delivered and implemented within each segment

• Translate business priorities into structured, repeatable programs that drive measurable behavior change and performance improvement

• Develop and operationalize a common sales functional competency model/framework across HLRP, ensuring it is embedded into practical programs, content, and field execution

• Define and execute a strategy for foundational enablement support aligned to the sales functional competency model/framework

• Coordinate and synthesize inputs from cross-functional stakeholders (e.g., Product Marketing, SMEs, Sales, Sales Operations) to build cohesive enablement programs and assets

• Contribute to the development of core enablement content and materials (e.g., training modules, playbooks, learning assets) in partnership with subject matter experts

• Establish and manage a structured enablement operating rhythm, including program planning, coordination, and reinforcement mechanisms

• Partner cross-functionally with Sales, Segment Enablement Leads, Product Marketing, and Sales Operations to ensure alignment and effective execution

• Define program success metrics and evaluate effectiveness through data and field feedback

• Leverage AI-enabled tools and workflows to improve scalability, consistency, and efficiency of enablement programs

• Support the structuring and scalability of enablement content within platforms (e.g., Seismic) to improve accessibility and reuse

REQUIREMENTS

• 5–8+ years of experience in sales enablement, program management, learning & development, or a related field

• Proven ability to build and operationalize scalable programs, frameworks, or systems in a cross-functional environment

• Strong systems thinking with the ability to translate strategy into structured, repeatable solutions

• Experience partnering with Sales, Product Marketing, Sales Operations, and/or segment-aligned enablement roles in a B2B environment

• Strong collaboration skills with the ability to co-create solutions and synthesize input from diverse stakeholders and subject matter experts

• Familiarity with modern sales methodologies (e.g., Challenger, MEDDIC) and enablement best practices

• Experience developing competency models, capability frameworks, or structured learning programs (preferred)

• Experience leveraging AI or automation to enhance workflows, learning, or program scalability (preferred)

• Strong analytical mindset with the ability to define success metrics and derive actionable insights from data

• Excellent communication skills, with the ability to simplify complexity and drive alignment across diverse stakeholders

• Bachelor’s degree required; advanced degree or relevant certifications a plus

OUR INTERVIEW PRACTICES

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

COMPENSATION:

$78,400.00 - $136,950.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

ADDITIONAL INFORMATION:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.