or apply directly on Klaviyo's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Klaviyo's roles stay open a median of 80 days
- Reposted
- No
- Salary listed
- No 0% of Klaviyo's roles list one
- Ghost-job risk at Klaviyo
- high 141 stale, 6 reposted of 141 open
- Hiring momentum
- 203 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Klaviyo's own greenhouse board since 2026-08-03. Full hiring picture for Klaviyo.
About this role
As a Senior Product Manager at Klaviyo, you will be responsible for the product and model strategy for ML-powered features, specifically Product Recommendations and Message Prioritization. Your role will involve defining roadmaps, measuring model performance, and ensuring that the products deliver measurable value to brands. You will collaborate with ML and engineering teams to create user-friendly product experiences and take ownership of the outcomes post-launch.
- benefits
- 4/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Klaviyo as an employer.
What you need
- 3–5+ years of PM experience owning ML-powered or data-driven product features in a production environment
- Direct experience evaluating and tracking ML model performance
- Comfortable partnering with both software engineering and ML modeling or data science teams
- Genuine customer obsession
- Strong instincts for human behavior and UX
- Comfortable working with complex data structures
Nice to have
- Experience with recommendation systems or catalog-driven ML products
- Experience with message optimization, cadence, or frequency-capping problems
- Background in martech, ecommerce, or CDP products
- Experience building enterprise-grade customization layers on top of ML models
- Experience as an embedded PM partner to a data science or ML engineering team
What you get
- Base salary range of $136,000 — $204,000 USD
- Participation in the company’s annual cash bonus plan
- Variable compensation (OTE) for sales and customer success roles
- Equity
- Sign-on payments
- Comprehensive range of health, welfare, and wellbeing benefits based on eligibility
Worth weighing
- No specific mention of the tech stack used
- Vague description of the company's culture and values
- Travel requirements may impact work-life balance
Summarised from Klaviyo's posting. Read the full original.
Listed by Klaviyo on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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