Product Manager, Business Strategy

Accountabilities:

As Product Manager, Business Strategy, you will own product strategy, roadmap development, and execution, ensuring that AI-enabled capabilities address real seller needs and deliver measurable business outcomes.

• Define and manage the product strategy, roadmap, priorities, and success metrics across seller roles and sales motions, including new customer acquisition, account expansion, and renewals.

• Translate seller and sales leadership needs into role-based workflows, including prioritized actions, account intelligence, meeting preparation, pipeline visibility, and guided next steps.

• Lead continuous product discovery through seller interviews, workflow observation, stakeholder discussions, pilot programs, feedback sessions, and structured validation.

• Design AI-assisted product experiences and recommendation workflows, incorporating evaluation criteria, feedback loops, confidence checks, relevance assessments, and human review where appropriate.

• Use approved AI tools to accelerate research, synthesis, prototyping, requirements development, analysis, workflow automation, and decision support while protecting confidential information.

• Develop and refine AI-enabled product workflows, including prompts, evaluation methods, data processing, analytical frameworks, recommendation logic, and quality controls.

• Define use cases and requirements for account, product usage, customer engagement, intent, renewal, and pipeline signals, ensuring recommendations are explainable and actionable.

• Lead pilot planning, iteration, user acceptance testing, launch readiness, change management, seller enablement, and adoption measurement from early access through broader deployment.

• Collaborate with cross-functional teams to coordinate product integrations, data governance, technical dependencies, and operating requirements.

• Establish baselines, targets, and reporting frameworks to measure adoption, recommendation relevance, seller actions, productivity, and business impact.

• Use product analytics, user feedback, and business evidence to refine priorities and guide investment decisions.

• Drive continuous improvement in product discovery, AI quality evaluation, governance, launch processes, and value realization.

Requirements:

The ideal candidate combines product management expertise, commercial and go-to-market knowledge, and practical experience delivering AI-enabled products or workflow automation. They should be comfortable leading cross-functional initiatives, validating product decisions with users, and measuring outcomes in an enterprise environment.

• Five to seven years of experience in product management, product strategy, business or sales strategy, management consulting, or a related field.

• Bachelor’s degree in Business, Engineering, Computer Science, or a related discipline. An MBA or advanced degree in Strategy, Product, or Technology is an advantage.

• Experience with B2B enterprise software, sales or go-to-market products, seller workflows, Sales Operations, or customer lifecycle solutions.

• Demonstrated success leading cross-functional initiatives and aligning stakeholders across technical and business teams.

• Practical experience building or managing AI-enabled products, recommendation systems, or workflow automation, including output evaluation and human feedback.

• Strong written and verbal communication skills, with the ability to translate complex requirements into clear product specifications and recommendations.

• Experience planning product pilots, coordinating seller enablement, managing change, and measuring adoption across multiple user roles or regions.

• Familiarity with go-to-market product development is preferred; knowledge of sales engagement, forecasting, account intelligence, or sales enablement tools is an advantage.

• Strong analytical and problem-solving skills, including the ability to define success metrics, evaluate product performance, and demonstrate business value.

• Ability to manage competing priorities, assess technical and operational dependencies, and make evidence-based product decisions.

• Understanding of data governance, AI quality evaluation, recommendation relevance, and responsible handling of confidential information.

Benefits:

• Base salary ranging from $106,900 to $150,280, plus bonus or commissions.

• Comprehensive health coverage.

• Generous paid time off (PTO).

• Flexible work options.

• Learning opportunities, career mobility programs, and leadership development workshops.

• Sixteen paid volunteer hours annually.

• Global Employee Resource Groups and an inclusive, collaborative workplace culture.

• Charitable giving program with company matching.

• Modern office amenities, including EV charging, healthy snacks, hackathons, game nights, and company culture events.

• Hybrid work environment, as indicated in the original job posting.

• Pay transparency, with compensation determined by role location, internal equity, experience, skills, education, and certifications.