Product Manager, Business Strategy

Job description

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Manager, Business Strategy based in the United States.** The Product Manager, Business Strategy will lead the strategy and execution of an AI-enabled workspace designed to help sales teams make smarter decisions and take meaningful action. This role combines product management, business strategy, and applied AI to improve seller productivity across customer acquisition, account expansion, and renewals. You will translate business needs into intuitive workflows, actionable insights, and a prioritized product roadmap. Working closely with Sales, Product, Engineering, Data, IT, Security, Marketing, Finance, and Operations, you will deliver an integrated experience across the go-to-market ecosystem. You will oversee product discovery, AI quality, integrations, pilots, launches, and adoption to ensure measurable business value. This is an opportunity to shape innovative AI-powered sales experiences that improve conversion, customer retention, and revenue growth. ### 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.