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About This Role
TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk.
At TrendAI™, we’re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI\-powered future.
AI Fearlessly.
Role Overview
We are seeking a highly technical Senior Product Manager to own TrendAI’s strategic product relationships with frontier AI providers, Hyperscalers, and key AI security ecosystem partners.
This role defines how TrendAI collaborates with, and builds competitive differentiation alongside, Anthropic, OpenAI, NVIDIA, and emerging security initiatives such as Glasswing and Daybreak — acting as the primary product interface between TrendAI and these strategic partners.
The ideal candidate combines deep technical understanding of frontier AI and cloud architectures with the commercial and relationship skills to drive joint roadmaps, co\-innovation programmes, and mutual value creation — translating partner capabilities into differentiated security products and measurable business outcomes.
Responsibilities
Partner Strategy and Product Roadmap
- Own the partner\-facing product strategy and roadmap for TrendAI’s AI integration and ecosystem capabilities.
- Decide which partner capabilities TrendAI should integrate, extend, commercialize, or build independently — and define the criteria on which each decision is made.
- Serve as TrendAI’s primary product authority in external partner engagements with Anthropic, OpenAI, NVIDIA, and other strategic technology partners.
- Align partner strategy with TrendAI priorities across AI usage, applications, agents, identity, data, runtime security, detection, response, and governance.
Frontier AI \& Strategic Partner Management
- Maintain joint product roadmap alignment with frontier AI providers (Anthropic, OpenAI) and NVIDIA as strategic partners of TrendAI.
- Represent TrendAI’s security requirements in partner product discussions — covering APIs, identity, telemetry, data handling, policy enforcement, risk findings, evidence, and response.
- Track and assess partner capability releases, API changes, deprecations, and roadmap commitments; translate these into TrendAI product decisions and risk escalations.
- Define integration patterns for APIs, identity, telemetry, data handling, policy enforcement, risk findings, evidence, and response.
- Develop reference architectures and design partnerships with strategic Partners.
- Ensure integrations support SaaS, sovereign, and customer\-controlled deployment models.
Productization and Technical Execution
- Translate partner technology into clear use cases, requirements, architecture, deployment models, packaging, licensing, and success metrics.
- Partner with engineering, architecture, research, UX, and security teams to deliver scalable and reusable capabilities.
- Ensure integrations use common TrendAI contracts for telemetry, policy, evidence, identity, and response rather than one\-off connectors or integrations.
Customer, Partner, and Market Leadership
- Engage strategic customers, design partners, frontier\-model providers, Hyperscalers, and technology alliances to validate priorities and develop pilots and reference architectures.
- Work across Product Marketing, Sales, Solution Engineering, Alliances, Legal, Compliance, Support, and Customer success to drive launches, enablement, differentiation, and adoption.
- Represent the partner product strategy clearly to executives, customers, partners, analysts, technical teams, and non\-technical stakeholders.
Go\-to\-Market and Differentiation
- Define why each partnership matters, which customer problem it solves, what TrendAI adds beyond the partner capability, and how it should be sold.
- Develop joint positioning, competitive analysis, customer presentations, solution briefs, demonstrations, and co\-sell plans.
- Ensure every partnership and integration creates clear value for the customer, TrendAI, and the strategic partner.
Data\-Driven Prioritization and Success
- Use customer demand, adoption, product usage, technical feasibility, partner commitments, competitive intelligence, and pipeline impact to prioritize investment.
- Measure success through active integrations, customer adoption, influenced pipeline, partner\-sourced opportunities, customer risk reduction, and reusable platform capability.
Qualifications
*Mandatory:*
- 7\+ years of experience in cybersecurity, cloud security, AI platforms, or enterprise software
- 5\+ years of product management or technical product leadership experience
- Demonstrated experience managing strategic technology partner relationships in a product capacity — able to represent your organisation's requirements credibly in joint roadmap and co\-engineering discussions
- Strong AI fluency is mandatory — demonstrated, hands\-on use of AI and generative AI tools in daily product work, alongside a clear point of view on how frontier AI capabilities translate into differentiated security products.
- Experience delivering APIs, platform integrations, ecosystem products, or cloud\-native security capabilities
- Bachelor’s degree in Computer Science, Cybersecurity, Engineering, Information Technology, Business, or equivalent professional experience.
*Strong plus:*
- Experience working with Hyperscalers, AI providers, security vendors, or strategic technology partners
- Previous experience as a software engineer, security architect, cloud architect, solutions architect, sales engineer, or technical product manager
- Experience with Anthropic, OpenAI, AWS, Microsoft Azure, Google Cloud, or NVIDIA
- Familiarity with Glasswing, Daybreak, frontier\-model security programs, or advanced AI security research
- Experience with AI security testing, red teaming, model evaluation, prompt security, or agent security
- Experience integrating SIEM, XDR, SOAR, CNAPP, IAM, API gateways, or developer platforms
- Experience developing joint solutions, reference architectures, co\-innovation, or co\-sell programs
- Strong AI fluency is mandatory — demonstrated, hands\-on use of AI and generative AI tools in daily product work, alongside a clear point of view on how frontier AI capabilities translate into differentiated security products.
Your Expertise
Strong Technical Knowledge
- Frontier models and generative AI
- AI applications and agentic systems
- LLM APIs, gateways, MCP, tools, skills, and plugins
- Cloud AI platforms and managed model services
- AI threats, testing, guardrails, and runtime controls
- Identity, authorization, and non\-human identities
- Data privacy, sovereignty, retention, and compliance
- SIEM, XDR, SOAR, and security telemetry
- SaaS, hybrid, on\-premises, and sovereign architectures
Product Leadership
- Ability to turn emerging technology and partner capabilities into clear customer use cases and product requirements.
- Strong roadmap, prioritization, execution, analytical, and partner relationship management skills.
- Ability to distinguish between a technical integration, product feature, sellable capability, and strategic platform investment.
- Proven track record of managing external partner relationships with credibility in joint technical and commercial discussions.
- Excellent communication, customer and partner engagement, and cross\-functional leadership skills.
What We Offer You
You're important to us. What matters to you, matters to us too. TrendAI provides benefit options for you and your family.
- Comprehensive medical, dental and vision insurance
- Life insurance
- Short \& Long Term Disability
- Pre\-partum, maternity, parental and medical leave
- Mental Health Wellness Program
- Adoption Assistance
- Wellness Incentive
- Pet Insurance
- 401(k) with company match
- Paid Time Off
- 14 Annual Holidays
- Tuition Assistance
- Employee Resource Groups
We offer competitive compensation with bonus opportunity tied to company performance, along with room to enhance your skills through ongoing learning and broad technological opportunities. Achieving work\-life balance is a priority, complemented by team activities, fostering an environment rooted in equity, inclusion, and collaboration, that is reflected in both our culture and our work.
*Be Passionate. Be Innovative. Be a Trender.*
This position does not offer sponsorship for work permit applications or renewals, either now or in the future. Candidates must be authorized to work in the U.S. without the need for employment\-based visa sponsorship, both currently and moving forward. The company will not sponsor applicants for U.S. work visa status for this role (including, but not limited to, H\-1B, L\-1, TN, O\-1, E\-3, H\-1B1, F\-1, J\-1, OPT, CPT, or any other employment\-based visa).
At TrendAI, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. TrendAI provides equal employment opportunity for all applicants and employees. TrendAI does not unlawfully discriminate on the basis of race, color, religion, sex, pregnancy and childbirth or related medical conditions, national origin, ancestry, age, physical or mental disability, medical condition, family care leave status, veteran status, marital status, sexual orientation, or gender identity.
\#LI\-LO1
At Trend Micro, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. Trend Micro provides equal employment opportunity for all applicants and employees. Trend Micro does not unlawfully discriminate on the basis of race, color, religion, sex, pregnancy and childbirth or related medical conditions, national origin, ancestry, age, physical or mental disability, medical condition, family care leave status, veteran status, marital status, sexual orientation, or gender identity.
Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 4,317 AI roles we're tracking, AI Product Manager positions make up 4% of the market. At Trend Micro Inc., this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $217,100 based on 471 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Trend Micro Inc. AI Hiring
Trend Micro Inc. has 1 open AI role right now. They're hiring across AI Product Manager. Based in Austin, TX, US.
Location Context
AI roles in Austin pay a median of $214,343 across 143 tracked positions.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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