Sr. Staff Product Manager (AI Enablement)

TL;DR

Sr. Staff Product Manager (AI Enablement): Scaling AI-redesigned workflows across non-engineering functions with an accent on enterprise architecture, agent configuration, and behavioral adoption. Focus on driving blueprint-led redesigns, ensuring production-grade stability, and partnering with cross-functional leaders to evolve workforce capabilities.

Location: Must be based in Mountain View or San Diego, California

Salary: $189,500 – $278,000

Company

hirify.global is a global financial technology platform powering prosperity for millions of customers worldwide through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Drive blueprint-led redesigns of high-friction workflows in partnership with AI Champions across non-engineering functions.
• Enforce blueprint standards including agent configuration, integration patterns, and governance guardrails.
• Design for long-term adoption by setting measurable baselines and aligning role expectations with HR leadership.
• Manage the redesign portfolio, ensuring prioritization remains focused on high-value, scalable outcomes.
• Identify platform gaps and feed signals back to engineering teams to improve enterprise capabilities.
• Partner with HR and workforce transformation teams to evolve hiring criteria and learning pathways alongside workflow changes.

Requirements

• 12+ years of experience designing, building, or operating production AI/ML systems or enterprise workflow platforms.
• 3+ years of experience driving organizational change within business functions or transformation teams.
• Proven track record of scaling AI-powered workflows from prototype to enterprise production.
• Strong ability to influence and align VP-level stakeholders on strategy and investment.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Nice to have

• Master’s degree in a technical field.
• Background in enterprise HR, Finance, Legal, Marketing, or Customer Success technology.
• Experience implementing responsible AI frameworks, evaluation pipelines, or governance programs.
• Prior experience as a forward-deployed engineer or AI solutions architect.

Culture & Benefits

• Competitive compensation package with a strong pay-for-performance rewards approach.
• Eligibility for cash bonuses and equity rewards.
• Comprehensive benefits package including health and wellness programs.
• Commitment to fair pay through regular internal comparisons.