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About This Role
*At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit* *klaviyo.com/careers* *to see how we empower creators to own their own destiny.*
At Klaviyo, we are building the future of employee experience through intelligent AI, automation, and seamless system integration. The ARIA (Applications, Resources, Intelligence, and Automations) team develops the tools that help employees move faster, work smarter, and spend more time on high\-impact work. As Klaviyo continues to scale, the need for AI\-powered workflows and connected internal systems has never been greater. We are looking for a Senior Product Manager to define and execute the product strategy for our employee\-facing AI and automation platform.
You will report into the Director of AI and App Engineering and ….
How you'll make a difference:
- Own the product strategy and roadmap for the ARIA platform: Define how Klaviyo employees interact with AI\-powered tools that automate workflows, surface insights, and reduce manual overhead across the organization.
- Build and scale employee\-facing automation workflows: Identify high\-impact automation opportunities across Finance, People, Engineering, and Sales and ship scalable solutions using AI, APIs, and integration platforms.
- Drive AI\-powered integrations across the internal tool stack: Lead the integration strategy between key systems such as HRIS, ticketing, messaging, and knowledge management to create seamless employee experiences.
- Partner with IT and Business Operations: Translate complex operational needs into well\-scoped, technically feasible product solutions with a clear focus on employee productivity and satisfaction.
- Champion AI adoption across the organization: Define and execute a responsible strategy for introducing AI tools to employees including change management, enablement, and governance frameworks.
- Establish and track product metrics: Define success metrics for employee automation and AI products, reporting regularly on adoption, time saved, and measurable business impact.
- Collaborate with Security and Compliance: Ensure AI tools and integrations meet security, privacy, and compliance standards, especially when handling sensitive employee data.
- Evaluate new AI vendors and platforms: Lead build vs. buy decisions for automation capabilities, developing a vendor strategy that balances speed, cost, and control.
- Serve as an internal product evangelist for AI: Partner across teams to identify the next frontier of employee\-facing automation and help Klaviyo stay at the cutting edge of enterprise AI adoption.
- Define the long\-term employee AI experience vision: Create a compelling product vision for how AI will transform work at Klaviyo over the next 2\-3 years, aligning stakeholders and driving investment decisions.
Who you are:
- 5\+ years of product management experience, with a strong focus on enterprise software, internal tools, or employee\-facing products.
- Proven experience building or owning automation, workflow, or integration products such as Workato, Zapier, Make, or custom API integrations.
- Experience working with or productizing AI and ML capabilities, including LLM\-based tools, AI assistants, or intelligent automation systems.
- Demonstrated ability to partner cross\-functionally with Engineering, IT, People, and Business Operations stakeholders.
- Deep experience translating ambiguous operational problems into clear, actionable product requirements.
- Data\-driven mindset with the ability to define, measure, and communicate product impact in business terms.
- Expertise in enterprise tool ecosystems with strong working knowledge of Slack, Workday, Jira, Salesforce, and similar platforms.
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Get to Know Klaviyo
We're Klaviyo (pronounced clay\-vee\-oh). We empower creators to own their destiny by making first\-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us.
*AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human\-in\-the\-loop). We provide accommodations as needed.*
*By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our* *Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our* *Job Applicant Privacy Notice.*
*Klaviyo is committed to a policy of equal opportunity and non\-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.*
*IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non\-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.*
By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application.*You can find our Job Applicant Privacy Notice* *here* *and* *here* *(FR).*
Salary Context
This $136K-$204K range is below the median for AI Product Manager roles in our dataset (median: $174K across 475 roles with salary data).
View full AI Product Manager salary data →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 26,159 AI roles we're tracking, AI Product Manager positions make up 2% of the market. At Klaviyo, 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 $204,600 based on 532 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($170K) sits 17% below the category median. Disclosed range: $136K to $204K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Klaviyo AI Hiring
Klaviyo has 8 open AI roles right now. They're hiring across AI Product Manager, AI/ML Engineer, AI Agent Developer. Positions span Boston, MA, US, Denver, CO, US, San Francisco, CA, US. Compensation range: $144K - $366K.
Location Context
AI roles in Boston pay a median of $218,900 across 268 tracked positions. That's 19% above the national median.
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 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 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 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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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