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.
We are seeking a Senior PM, Product Experience & AI Enablement to lead the strategy and development of intelligent internal product platforms that transform how our product and engineering teams plan, build, launch, and measure product changes. In this role, you will own the systems, workflows, and AI-powered experiences that shape the end-to-end product development lifecycle across the organization. You will partner closely with Product, Engineering and GTM teams to design and deliver internal tools that improve efficiency, increase transparency, reduce operational friction, and unlock new levels of productivity through AI-driven automation and insights.
Rather than focusing solely on customer-facing features, this role treats internal teams as customers. You will apply product management principles to improve internal platforms, integrate systems across our product stack, and embed AI capabilities into workflows to help teams move faster, make better decisions, reduce manual work, and scale more effectively. Your work will directly impact how efficiently Klaviyo teams ship product improvements, leverage AI in their day-to-day workflows, and deliver value to customers at scale. Please note that this is a hybrid role that requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time.
How You Will Make an Impact
- Define and own the product strategy for AI-enabled internal platforms that support the full product development lifecycle.
- Reimagine how teams move from product planning → development → launch → measurement through intelligent workflows, AI copilots, and integrated tooling.
- Identify friction points, repetitive manual work, and operational inefficiencies, then deliver AI-driven solutions that improve productivity and decision-making.
- Partner with engineering, infrastructure, and data teams to build scalable internal systems enhanced with automation, generative AI, and workflow intelligence.
- Introduce AI-powered capabilities such as:
- Automated project and launch coordination
- AI-generated summaries, documentation, and status updates
- AI-assisted experimentation analysis and rollout recommendations
- Help define how AI is embedded into internal PM and operational workflows across the organization.
- Drive adoption of AI-enabled tooling and establish best practices for AI-assisted product development workflows.
- Serve as a thought partner on the future of AI-enabled product development operations and internal developer productivity.
Who You Are
- 5+ years of product management experience working on internal platforms, developer tools, operational systems, or AI-enabled workflow products.
- You deeply understand the product development lifecycle and have experience building systems that support planning, development, experimentation, release management, and measurement workflows.
- You are excited about applying AI to improve how teams work and have experience evaluating or implementing AI-driven tooling, automation, copilots, or workflow intelligence.
- You are highly collaborative and able to align stakeholders across Product, Engineering, Infrastructure, Data, and GTM teams.
- You use data and operational metrics to evaluate product outcomes and identify opportunities for optimization and automation.
- You bring a systems-thinking mindset and understand how workflows, tools, data, and teams connect across an organization.
- You are energized by improving developer and product team productivity through intelligent systems and AI-enhanced experiences.
- You are comfortable operating in ambiguity and helping organizations define how AI should responsibly and effectively augment internal workflows.
Nice to Have
- Experience working in high-growth SaaS environments
- Experience building or integrating AI copilots, workflow automation, or internal AI tooling
- Familiarity with LLM-powered products, prompt workflows, or AI orchestration systems
- Experience with developer productivity or developer experience platforms
- Background in engineering, technical product management, data platforms, or developer tooling
- Experience driving AI adoption and change management within product or engineering organizations
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
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.
Klaviyo Boston, Massachusetts, USA Office




We're in the heart of the Financial district with easy access to public transportation and a short walk from South Station. We also have hubs in Denver, London and Sydney.
Similar Jobs at Klaviyo
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories








.png)