Product Manager, Business Strategy

Infoblox • Tacoma, WA

5d • Hybrid

About The Position

Infoblox is hiring a Product Manager to join its Office of the President team, reporting to the Senior Director, Business Strategy. The role owns product strategy and execution for an AI-enabled workspace that helps sellers make better decisions and act on customer, account, and pipeline signals. The Product Manager will translate seller and business needs into a role-based roadmap, trusted intelligence, actionable workflows, and measurable outcomes across expansion, renewal, and new-logo motions.

The role works closely with sellers, sales leaders, Sales Operations, Product, Engineering, Data, IT, Security, Marketing, Finance, and Operations to provide an integrated experience across the go-to-market ecosystem. Work spans discovery and prioritization, data and AI quality, integrations, pilots, launch, adoption, and value realization. Success means reducing fragmented seller workflows and helping teams focus on relevant actions that improve productivity, conversion, retention, and expansion.

Requirements

• 5–7 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.
• 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.
• Excellent written and verbal communication skills.
• Practical experience building or managing AI-enabled products, recommendations, or workflow automation, including output evaluation and human feedback.
• Experience planning product pilots, seller enablement, change management, and adoption measurement across multiple user roles or regions.

Nice To Haves

• MBA or another advanced degree in Strategy, Product, or Technology.
• Experience in go-to-market (GTM) product development.
• Familiarity with sales engagement, forecasting, account intelligence, or enablement tools.

Responsibilities

• Own product strategy, roadmap, priorities, and measurable outcomes across seller roles and sales motions, including expansion, renewal, and new-logo workflows.
• Translate seller and sales-leader needs into role-based workflows such as prioritized actions, account intelligence, meeting preparation, pipeline views, and guided next steps.
• Lead continuous discovery with sellers, sales leaders, and business stakeholders through interviews, workflow observation, pilots, feedback sessions, and structured validation.
• Design AI-assisted product experiences and recommendation workflows, including feedback loops, evaluation criteria, confidence and relevance checks, and human review where appropriate.
• Use approved AI tools to accelerate research, synthesis, prototyping, requirements drafting, analysis, workflow automation, and decision support while protecting confidential information.
• Define and improve AI-assisted product workflows, including prompts, evaluations, data processing, analytical and recommendation frameworks, feedback loops, and quality checks.
• Define use cases, requirements, and prioritization for account, product-usage, engagement, intent, renewal, and pipeline signals, including how recommendations are explained and acted upon.
• Lead pilot design and iteration, user acceptance testing, launch readiness, change management, enablement, and adoption planning from early access through broader rollout.
• Build relationships with sellers, sales leaders, executive sponsors, and cross-functional partners; map workflows, user roles, data sources, systems, and dependencies.
• Own validated roadmaps and prioritized requirements tied to user evidence, strategic outcomes, feasibility, and cost.
• Define baselines, targets, and reporting for adoption, recommendation relevance, actions taken, seller productivity, and business value.
• Align launch, enablement, data governance, integration, and operating plans with the teams needed to support scale.
• Establish repeatable practices for discovery, prioritization, AI quality evaluation, data governance, launch readiness, and value realization.
• Influence cross-functional investment and operating decisions using customer evidence, product analytics, trade-offs, and executive recommendations.

Benefits

• Comprehensive health coverage.
• Generous paid time off.
• Flexible work options.
• Learning opportunities, career-mobility programs, and leadership workshops.
• Sixteen paid volunteer hours each year.
• Global employee resource groups.
• Modern offices with EV charging and healthy snacks.
• Hackathons, game nights, and culture celebrations.
• Charitable Giving Program supported by Company Match.
• Bonus or commissions in addition to base salary.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level