or apply directly on Klaviyo's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 33 days Klaviyo's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Klaviyo's roles list one
- Ghost-job risk at Klaviyo
- high 90 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
- 2026-09-17
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 Software Engineer II on the Recommendations Platform Team at Klaviyo, you will develop and deploy machine learning-based recommendation systems, working on backend services that enhance product recommendations across various channels. Your responsibilities include maintaining data processing pipelines, collaborating with ML engineers, and ensuring the observability of services. You will also lead A/B testing efforts and mentor junior engineers, contributing to the overall architecture and evolution of the recommendation systems.
- benefits
- 3/5
- freshness
- 3/5
- 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
- 2+ years of professional software engineering experience with a focus on backend and distributed systems at scale
- Proficient in Python and open to working in other languages
- Comfortable with cloud-native architectures (AWS preferred) and container orchestration (e.g., Kubernetes)
- Experience in data-driven decision making and A/B testing
- Comfortable designing and querying data models in relational, analytical, and NoSQL datastores
- Familiar with modern DevOps practices (CI/CD, monitoring, alerting)
Nice to have
- Previous experience working on product recommendation systems or adjacent ML-powered features
- Experience with big data frameworks such as Apache Spark
- Experience in AI/ML systems and products
- Experience training and iterating on machine learning models
- Experience with ML and distributed compute frameworks such as Ray
What you get
- Base salary range of $116,000 — $174,000 USD
- Participation in the company’s annual cash bonus plan
- Variable compensation for sales and customer success roles
- Equity
- Sign-on payments
- Comprehensive range of health, welfare, and wellbeing benefits based on eligibility
Worth weighing
- Onsite work required 5x a week in Boston, MA
- No specific details on the company's culture or team dynamics are provided
- Salary range is broad and dependent on various factors, with specific figures not guaranteed for all applicants
Summarised from Klaviyo's posting. Read the full original.
Listed by Klaviyo on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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