It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Benefit options available through Magnit Global, depending on contract factors and upon meeting requirements.

As a Technical Product Manager (TPM) you will play a critical role in ensuring the stability, scalability, and continuous improvement for GTM Sales. You will be overseeing ongoing product health, optimizing processes, and driving high-impact initiatives that deliver consistent value to stakeholders.

This role emphasizes a mix of technical expertise, product management, and strategic prioritization to maintain product excellence and meet evolving user needs. You will bridge the gap between technical teams, business stakeholders, and end-users, ensuring the product operates seamlessly while aligning with the company's long-term vision.

A key focus of this role is driving the development and adoption of AI-powered capabilities, building new AI skills and features that enhance seller productivity and customer outcomes. You will champion AI innovation within the product and ensure new AI-powered features are effectively integrated and adopted across the sales organization.

Skills

• Proactively identify issues, user pain points, and product gaps—with particular focus on AI adoption barriers and opportunities.
• Ensure product stability through proactive issue resolution and prioritization of fixes.
• Own the vision and roadmap for AI skill development and integration, ensuring new AI capabilities are built with clear use cases and measurable impact.
• Partner with AI/ML teams to design, validate, and launch new AI-powered seller workflows and capabilities that drive adoption.
• Product Requirement Management with story creation and communication to our Engineering & Data Analytics Leads.

Stakeholder Engagement and Requirements Management

• Collaborate with stakeholders to gather, document, and prioritize product requirements, use cases, and acceptance criteria.
• Act as the Product Owner for sustaining activities and new AI skill initiatives, ensuring requirements are clearly defined and addressed.
• Continuously evaluate and communicate progress, blockers, and opportunities to stakeholders—highlighting the business value and adoption impact of new AI features.

Performance Monitoring and Metrics

• Define and track key performance indicators (KPIs) to evaluate product health, performance, and success—including AI skill adoption rates, usage metrics, and customer impact.
• Summarize findings into clear, actionable presentations for leadership and business stakeholders, demonstrating ROI of AI investments.

Cross-Functional Collaboration

• Work closely with engineering, quality assurance, UX, AI/ML, and operations teams to ensure smooth delivery of fixes, optimizations, enhancements, and new AI capabilities.
• Foster collaboration across teams to address product challenges efficiently and accelerate AI skill development and adoption.

Product Strategy and Roadmap Execution

• Support the Lead TPM product roadmap aligned with business priorities and objectives, with a focus on AI-driven expansion opportunities.
• Collaborate with cross-functional teams to ensure timely execution of AI enhancements, new skills, fixes, and sustaining initiatives.
• Prioritize tasks effectively based on business impact, customer needs, resource availability, and AI adoption potential.

Technical Collaboration & AI Innovation

• Leverage strong technical expertise in CRM, AI, Power BI, and Snowflake to design and evaluate AI solutions that address business challenges.
• Partner closely with engineering and AI/ML teams to ensure technical feasibility, alignment with existing architecture, and thoughtful AI integration.
• Facilitate smooth communication between development teams, AI engineers, business stakeholders, and leadership.
• Drive adoption and skill-building by creating clear narratives around AI capabilities and their business value to sellers and customers.

Qualifications

• 4+ years of experience in software product management, with a focus on AI, SaaS products, or technical operations.
• Bachelor's degree in Computer Science, Engineering, Business, or a related field preferred.
• Proven experience building, launching, or scaling AI-powered features or products in a B2B SaaS environment.
• Demonstrated expertise in AI product strategy, including understanding of generative AI, LLMs, agentic workflows, or AI skill design.
• Proven experience in Sales tools, with hands-on expertise in Opportunity & Account Management and GTM Sales Tool Experience.
• Strong technical proficiency in Power BI and Snowflake, with the ability to collaborate effectively with development and AI/ML teams.
• Deep understanding of standard sales cycles, personas, and selling motions (direct sales, indirect sales, renewals).
• Proficient in Agile/Scrum methodologies and product management tools.
• Strong prioritization, analytical, and problem-solving skills to drive high-impact outcomes and measure AI ROI.
• Experience managing SaaS vendors and ensuring product performance.
• Proven track record in delivering customer centric solutions with a people first design approach, with specific examples of driving adoption of new capabilities.
• Experience or enthusiasm for learning about emerging AI trends, frameworks, and best practices in enterprise software.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.