Senior Software Engineer, Recommendations 

Boston, MA (Hybrid)

What you'll do

As the Senior Software Engineer for Product Recommendations, you will be a key contributor in building the machine learning–powered systems that decide which products to show to whom and when across all channels powered by our platform. This hands-on backend role focuses on converting billions of behavioral events into personalized product recommendations that drive revenue for merchants. You will define technical direction, build, and operate services and data pipelines end to end, from data ingestion and feature generation to ranking models and APIs.

• Lead the design, architecture, and operation of backend services that power product recommendations across Klaviyo experiences (email, SMS, KAgent, onsite, etc.), upholding standards for reliability, performance, and clear APIs.
• Architect and maintain robust, large-scale data processing pipelines (e.g., using Apache Spark or similar frameworks) that transform raw events and catalog data into high-quality features and inputs for recommendation models, ensuring data quality and lineage.
• Collaborate closely with ML engineers and product stakeholders to strategically productionize recommendation models—defining high-level interfaces, robust feature contracts, and advanced deployment patterns for batch and/or real-time inference systems.
• Drive the development of ML/AI systems such as vector search that power recommendation, semantic search, and sophisticated agentic use cases.
• Implement and evolve data and service observability (metrics, logging, tracing, dashboards) to proactively ensure recommendations are correct, fast, and highly available for all customers.
• Contribute to and mentor others on shared data frameworks, libraries, and architectural patterns to accelerate the development of new recommendation use cases and iteration velocity across the team.
• Work with Product to break down projects into clear milestones, balancing the need for rapid experimentation with technical soundness and long-term maintainability.
• Lead data-driven decision making and A/B testing efforts—ensuring recommendation systems are instrumented with the right metrics, and independently interpreting results to guide future product and engineering iterations.
• Participate in on-call and incident response for the systems you own, driving major post-incident follow-ups that substantially improve the resilience and operability of our recommendation stack.
• Champion and drive the transformation of engineering workflows by integrating AI from the ground up—for example, using AI to accelerate development, automate complex tests, or build smarter monitoring and debugging tools.
• Share knowledge, mentor junior/mid-level engineers, and define best practices on working with large-scale data frameworks, distributed systems, and integrating ML into production systems.

Who you are

• 5+ years of software engineering experience, with experience building and operating mission-critical backend services and systems in a production environment.
• Experience in backend and distributed systems at scale; you have a proven track record working on high-throughput, highly available services and are an skilled in optimizing for latency, reliability, and operability.
• Proficient in Python and open to working in other languages
• Comfortable with cloud-native architectures (AWS preferred) and container orchestration (e.g., Kubernetes); you manage infrastructure and CI/CD pipelines as a core part of your development process.
• Experience in data-driven decision making and A/B testing—you can define how to instrument experiments, read and interpret results, and ensure learnings are folded back into system design.
• Comfortable designing and querying data models in relational, analytical, and NoSQL datastores (e.g., Postgres, MySQL, data warehouses, Redis, vector databases).
• Feel at home with modern DevOps practices (CI/CD, monitoring, alerting) and how to apply them to architect large-scale data and recommendation systems.
• Track record of owning multi-component projects end-to-end—from initial technical design and implementation through rollout, monitoring, and sustained iteration.
• Excellent technical collaborator and communicator: you can clearly articulate complex technical trade-offs to both technical peers and non-technical partners, and you work effectively to drive alignment across ML Engineers, Software Engineers, PMs, and other teams.
• You are a self-starter who has actively experimented with AI in work or personal projects and are excited to responsibly explore and define new AI tools and workflows to enhance team productivity and system intelligence.

Nice to have

• Previous experience working on product recommendation systems or adjacent ML-powered features (ranking, personalization, search, or similar).
• Experience with big data frameworks such as Apache Spark (or similar technologies like Flink, Beam, etc.) for architecting and building complex batch or streaming pipelines.
• Experience in AI/ML systems and products, such as integrating models into production systems, building features powered by ML, or contributing to the ML infrastructure.
• Experience training and iterating on machine learning models (e.g., for ranking, prediction, or personalization).
• Experience with ML and distributed compute frameworks such as Ray or similar tools.
• Experience partnering with data science or ML teams to productionize models (designing feature stores, ensuring offline/online parity, advanced model deployment and monitoring).
• Background in e-commerce, marketing tech, or consumer personalization products.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Who We Are

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

Toast Now is the app that puts the power of the entire Toast platform into the pockets of restaurant managers and operators everywhere. Using their own phones, managers can track the performance of their restaurant in real-time during service and fine-tune restaurant operations from the floor of their restaurant. This app also helps staff rapidly diagnose and fix unexpected issues with the help of Toast Customer Care. By leveraging native mobile apps, we provide a rich UX that makes it easier than ever to run a thriving restaurant with great service for guests and a strong bottom line. 

Our team is agile and customer-obsessed. We have high standards for customer satisfaction, and we strive to deliver high quality features in rapid iterative cycles.

About this roll* (Responsibilities) 

As an SE3, you aren't just a contributor; you’re a key ingredient in our technical leadership. You will:

• Drive the end-to-end delivery of complex features, from initial technical design and "proof of concept" to global rollout.
• Champion best practices for Android development, ensuring our CI/CD pipelines and testing cultures are top-tier.
• Partner closely with UX and PM to slice through ambiguity and find the most efficient ways to deliver user value.
• Act as a technical leader for more junior engineers, conducting thoughtful code reviews and fostering a culture of continuous learning.

Do you have the right ingredients?* (Requirements)

• Typically 5+ years of professional software development experience, with a proven track record of shipping high-impact native Android apps.
• Deep knowledge of the Android SDK, Kotlin, and modern architectural patterns (MVVM, MVI).
• Experience working with backend technologies like GraphQL and Kotlin microservices (expect 70/30 between Android and backend).
• Experience with automated testing (Unit, Integration, and Espresso)  in an agile environment.
• Excellent cross-team communication skills on complex technical topics.
• Passionate about technology and learning new things.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

About Klaviyo

Klaviyo empowers creators to own their destiny by making first-party data accessible and actionable like never before. We see innovators building incredible businesses every day using Klaviyo's platform, and we're here to make sure they have everything they need to succeed. We're a company that puts customers first, leads with curiosity, and builds with velocity.

We're looking for people who are excited about solving hard problems, who thrive in a fast-paced environment, and who want to make a meaningful impact on how businesses grow.

About the Role

We're looking for a Director of Security Risk and Trust who breaks the mold of traditional compliance leadership. This isn't a role where you'll spend your days pushing spreadsheets and chasing attestation deadlines—this is a role where you'll engineer solutions to governance and compliance challenges at scale, build systems that make security and trust a competitive advantage, and lead a team that operates at the intersection of security engineering, risk management, and regulatory compliance.

You'll own the strategy and execution of Klaviyo's Risk and Trust program, partnering deeply with Engineering, Product, Legal, IT, and business teams to embed compliance and risk management into how we build and operate—not bolt it on after the fact. You'll bring a strong technical foundation and an engineering mindset to everything you do, from designing automated compliance pipelines to developing governance frameworks for AI/ML systems. You'll need to be as comfortable reading Terraform configs and reviewing architecture diagrams as you are presenting risk posture to executive leadership.

This role reports to the CISO and is a critical member of the Security leadership team.

How You'll Make a Difference

Build and Own the Risk and Trust Strategy

• Define and execute a forward-looking strategy that scales with Klaviyo's growth, product evolution, and expansion into new markets and regulated industries
• Develop a risk management program that quantifies and communicates risk in terms the business can act on—not just heat maps, but data-driven models that inform real decisions
• Own the compliance roadmap across frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2 Type II, HIPAA, GDPR, CCPA/CPRA, and emerging AI governance regulations, identifying where frameworks overlap and engineering unified control sets rather than duplicating effort
• Translate regulatory and compliance requirements into clear, actionable engineering requirements that development teams can implement without ambiguity

Engineer Solutions, Don't Just Document Them

• Build and maintain compliance-as-code infrastructure—automated evidence collection, continuous control monitoring, and policy-as-code implementations that reduce manual toil and increase assurance
• Design and implement tooling and integrations (leveraging APIs, scripting, and orchestration platforms) that connect GRC workflows with engineering systems (CI/CD pipelines, cloud infrastructure, identity platforms, etc.)
• Partner with Engineering and Platform teams to embed security and compliance controls directly into the software development lifecycle, infrastructure provisioning, and deployment pipelines without introducing toil or friction
• Evaluate, select, and optimize platforms and technologies, building automation that turns compliance from a periodic exercise into a continuous, real-time capability

Lead AI Security Governance

• Develop and implement a comprehensive AI/ML governance framework aligned with ISO 42001, the EU AI Act, NIST AI RMF, and emerging global AI regulations
• Partner with ML/AI and Data Science teams to establish security and compliance guardrails for model development, training data governance, model monitoring, and responsible AI deployment
• Conduct and oversee risk assessments specific to AI/ML systems, including risks related to data poisoning, model integrity, bias, prompt injection, and supply chain threats in the AI ecosystem
• Stay ahead of the rapidly evolving AI regulatory landscape and proactively position Klaviyo's governance posture to meet or exceed emerging requirements

Drive Cross-Functional Impact

• Partner with Product and Engineering leadership to ensure security and compliance are built into product design from day one—acting as a trusted technical advisor, not a blocker
• Collaborate with Legal and Privacy teams to operationalize regulatory requirements and ensure alignment between legal interpretation and technical implementation
• Work with Sales, Customer Success, and Trust teams to support customer-facing security and compliance needs, including customer audits, security questionnaires, and trust documentation
• Engage with executive leadership and the Board to communicate risk posture, compliance status, and strategic GRC investments in clear, business-relevant terms

Get Your Hands Dirty

• Roll up your sleeves and do the work—conduct technical risk assessments, review architecture designs, write automation scripts, troubleshoot control gaps, and dive into the details when it matters
• Personally lead critical compliance initiatives, audit responses, and incident-driven governance activities when the stakes are high
• Maintain deep technical currency by staying hands-on with cloud platforms (AWS, GCP, Azure), infrastructure-as-code tools, security tooling, and modern software development practices

What We're Looking For

Must-Haves

• 10+ years of experience in security, governance, risk, and compliance, with at least 5 years in a leadership role building and scaling programs at high-growth technology or SaaS companies
• Strong engineering and technical foundation—you've written code (Python, Go, or similar), built automation, worked in cloud-native environments, and can engage deeply with engineering teams on technical design and implementation
• Deep expertise across multiple compliance frameworks including ISO 27001, ISO 42001, ISO 27017, ISO 27018, SOC 2, HIPAA, GDPR, and SOX IT controls, with a demonstrated ability to rationalize and unify controls across overlapping frameworks
• Demonstrated experience in AI/ML security and governance, including familiarity with AI-specific risk frameworks, responsible AI principles, and the unique security challenges of machine learning systems
• Hands-on experience with cloud infrastructure and security (AWS strongly preferred), including understanding of IAM, networking, encryption, logging/monitoring, and infrastructure-as-code (Terraform, CloudFormation, etc.)
• Proven ability to build compliance-as-code and automated GRC capabilities, including evidence collection automation, continuous monitoring, and integration with engineering toolchains
• Exceptional cross-functional leadership skills—you've successfully partnered with Engineering, Product, Legal, and executive stakeholders to drive security and compliance outcomes without relying on authority alone
• Experience managing external audits and regulatory examinations end-to-end, with a track record of clean results and efficient audit processes

Strong communication skills with the ability to translate complex technical and regulatory concepts for diverse audiences—from engineers to board members

Software Engineer II - Analytics Data Engineering | AI & Analytics Data Enablement

Location: Boston, MA

About the Role

Data is the lifeblood of Klaviyo. As a Data Engineer on this team, you will sit at the intersection of infrastructure and intelligence. You won’t just be moving data; you’ll be building the foundations that power our next generation of AI-driven features and enterprise-scale analytics.

You will bridge the gap between data engineering and product impact. Your work will involve developing scalable Spark pipelines, tuning our storage and query patterns to ensure low-latency performance for our enterprise customers, and modeling the high-impact datasets that drive Klaviyo's analytics and machine learning engines.

What You’ll Do

• Build Production-Grade Foundations: Develop and maintain scalable data pipelines and core tables using PySpark, Airflow, and dbt. You will implement the foundational datasets that power our AI, ML, and Analytics products.
• Optimize for Enterprise Performance: Tune Spark jobs and storage patterns to ensure low-latency data retrieval. You will help implement materialized views and efficient partitioning strategies to support high-performance reporting at scale.
• Treat Data as a Product: Contribute to the full lifecycle of datasets. This includes defining clear data contracts with upstream teams, writing maintainable code via peer reviews, and ensuring every asset is well-documented and trusted by downstream users.
• Drive Operational Excellence: Ensure the reliability of our data engine by monitoring for freshness, volume anomalies, and schema changes. You will be responsible for ensuring that when a customer loads a dashboard, the data is accurate and on time.
• Partner Cross-Functionally: Collaborate with Product, Engineering, and AI/ML teams to define consistent metrics that align with business goals. You will act as a bridge to ensure new features land with robust data support.
• Innovate with AI: Look for opportunities to put AI at the center of your workflow, whether it is using AI to generate tests, detect data anomalies, or accelerate complex analysis.

Who You Are

• The Experience: 2+ years of experience in data engineering or a data-intensive software engineering role. You’ve moved past the "beginner" phase and are comfortable taking a project from a design doc to a production deployment.
• Fluent in SQL and Python: You have a solid grasp of SQL for high-performance querying and are comfortable using Python for data manipulation and automation. You focus on writing code that balances speed with reliability.
• Distributed Systems Knowledge: You have hands-on experience with Spark (PySpark/SparkSQL) and understand how to tune jobs for performance in a cloud environment (AWS/EMR).
• Modeling Intuition: You understand the difference between a "raw table" and a "semantic layer." You’ve worked with modern modeling tools (like dbt) and understand partitioning, schema evolution, and lakehouse concepts (Iceberg/Delta).
• Performance Minded: You care about latency. You enjoy the challenge of making a query run faster and understand how to use materialized views and caching effectively.
• Collaborative & Curious: You’re an inclusive collaborator who enjoys working with Product and Data Science. You’re excited to experiment with AI tools to make your own engineering workflow more efficient.

Nice to Haves

• Experience with Iceberg table maintenance and compaction.
• Exposure to Terraform or other Infrastructure-as-Code tools.
• A background in Martech or SaaS platforms dealing with high-frequency event data.
• Experience building data products that directly power customer-facing UI components and/or support AI/ML features.
• Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.
• Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).
• Familiarity with statistical modeling and machine learning.

SWE II, Core Reporting (Boston, MA) 

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 careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale. Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

The Core Reporting Team is responsible for powering Klaviyo’s analytics foundation.  We deliver scalable, consistent, and trustworthy reporting infrastructure that enables every team at Klaviyo to ship analytics faster - and every customer to understand, trust, and act on their data. The team builds curated and customizable reporting experiences that serve all of Klaviyo’s customers. The team collaborates closely with Product, Design, and cross-functional partners across Klaviyo to ensure that insights are not just observed but operationalized, connecting analytics directly to action. 

As an Engineer on the Core Reporting Team, you can expect to be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale across the Klaviyo platform. You'll own projects that contribute to driving adoption and retention of the analytics platform, building the reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You'll work full stack, from the data access and storage layers that power enterprise-grade analytics, to the front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.

How You Will Make a Difference

• Deliver reporting capabilities that drive adoption and directly contribute to growth
• Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
• Develop product-led experiences that make the value of Analytics visible and compelling.
• Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo
• Have ample opportunities for growth as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations

Who You Are

• 2+ years of experience working in a in a full stack capacity
• Proficient in at least one modern programming language (Python or TypeScript/React are a plus)
• Degree or equivalent experience in a software engineering discipline
• Able to communicate well and collaborate effectively across disciplines
• Able to work with others on a team and partner closely with product, design, and data stakeholders
• Able to learn continuously and adapt to a high-growth environment
• Able to stick with and solve difficult problems, particularly around data at scale
• Excited to work at the intersection of data visualization, analytics, and AI. Building experiences that help customers understand and act on their data
• Interested in up-market product challenges, including enterprise-grade reliability, and customization.

Technologies We Use (non-exhaustive)

• Front-end technologies like TypeScript, React, Styled Components, and CSS
• Backend primarily using Django, FastAPI, and Python
• Infrastructure on AWS and Kubernetes

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is growing fast, and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech.

We love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning, and scaling features end to end — breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies, and work hard to ensure each day is better than the last.

Location:
This position is based in our Boston office, and team members are expected to be onsite at least three days per week.

Our Stack and Culture:
Klaviyo operates a real-time data platform coded in Python, built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Team Overview:
The API team empowers product development teams at Klaviyo to create consistent, reliable, and developer-friendly public and internal APIs by providing robust frameworks, intuitive tools, and expert support.

Areas of ownership include:

• Public API Framework: Building consistent, reliable, and performant public APIs.

• Internal API Platform: A standardized platform for building, deploying, and consuming internal APIs to accelerate development and improve reliability.

• Encoded Objects: Standardized data schema definition and serialization framework ensuring consistency and compatibility across systems.

• API Rate Limiter: System enforcing request limits to protect API reliability and performance.

Responsibilities:

• Contribute to the evolution of Klaviyo’s public and internal API platforms.

• Participate in code reviews, product specifications, and scope definition.

• Collaborate with product owners and engineering peers to deliver high-quality, scalable solutions.

• Influence the direction and priorities of the API team.

Required Skills:

• 3–5+ years of experience in software engineering.

• Experience working with both monolithic and microservices architectures.

• Experience with CI/CD pipelines.

• Strong debugging and performance optimization skills.

Team Tech Stack:
Python, Django REST Framework, Django, FastAPI
MySQL / PostgreSQL, DocumentDB, ClickHouse
Redis, Memcached, RabbitMQ / Celery / Apache Pulsar

Preferred Skills:

• Experience with metaprogramming.

• Experience with Go.

• Familiarity with JSON:API.

• Experience designing and building internal or public APIs.

• Experience with Service-Oriented Architecture (preferably in Python).

• Experience working with RESTful applications, APIs, or gRPC.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why you should join the Mobile App Growth team

The Mobile App Growth team, a diverse group of accomplished engineers, focuses extensively on developing new, greenfield projects within the mobile application domain. Their work is cross-functional, spanning various mobile platforms, and includes developing full-stack solutions to support product features exposed to mobile users via our SDKs.

Over the past year, the Mobile App Growth team at Klaviyo has introduced new mobile-first features (like geofencing and in-app forms) and enhanced Klaviyo’s mobile integration offerings. This expansion has augmented the scope of the team’s responsibilities. With new products to cultivate and integrations to support, the team requires a highly capable software engineer to help manage the increasing demands within Klaviyo's mobile ecosystem.

This engineer will contribute to the expansion and maintenance of the team’s mobile SDK offerings, furthering current product features and extending Klaviyo’s reach beyond traditional email marketing into comprehensive mobile engagement.

How You'll Make an Impact

• You will be a core member of the Mobile App Growth team, working on impactful mobile experiences making mobile integrations a core pillar of Klaviyo’s offerings
• Work closely with product to provide the best experience for our customers.
• Take ownership of projects from inception to release.
• Work across different mobile technologies
• Work in the Django framework to help build out a pipeline for rendered mobile experiences. 

Who you are

Deep experience modern mobile development (either Android, iOS or cross-platform experience) 

• Open to working with different technologies: Python, React, AWS, GoLang (prior experience not required but nice to have)
• Have a proven track record of leading projects and collaborating well with the wider team
• Experience working with mobile webviews and location services.
• Comfortable leveraging AI technologies effectively in personal contributions.
• Self-starter - As the member of the team, we are looking for someone who can bring with them expertise in mobile development.
• Adaptability - We will be working not just in native SDKs but also backend and frontend Klaviyo stacks, dev tooling and possible expansion into tertiary SDKs in the future.
• Ambition - We are looking for people that can take an idea and have the ambition to headline it in the future.
• Learning - To be always learning is a core value at Klaviyo and this role will require someone excited to learn new technologies and expose themselves to new approaches

Technologies We Use (not exhaustive)

• iOS (Swift)
• Android (Kotlin)
• React Native
• Flutter
• React, TypeScript, Redux
• Python, Django
• MySQL, Redis, DynamoDB
• AWS (EC2, RDS, Aurora), Terraform

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Responsibilities

The teams in the Data Platform area work with large scale distributed systems and databases to power core Klaviyo functionality and generate data-driven insights. As an engineer in this area, you will be responsible for designing, building, and maintaining systems that support other engineering teams across Klaviyo. You will work with a cross functional team to help design systems, write high quality code, create infrastructure, and operate large scale systems in a production environment.

Team Tech Stack

• AWS
• Python
• Kubernetes
• MySQL
• Clickhouse
• Kafka
• Spark
• Flink
• Iceberg
• Terraform
• Airflow

Required Skills

• Degree or equivalent experience in a software engineering discipline
• 2+ years of experience in a software engineering discipline
• Proficient in using at least one modern programming language
• Experience designing, building, and operating distributed systems in a cloud computing environment
• Experience with OLTP or OLAP databases
• Experience with high volume data processing and storage systems
• Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
• Experience using Linux operating systems
• Able to communicate well
• Able to work with others on a team
• Able to learn continuously and adapt to a high growth environment
• Able to stick with and solve difficult problems

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

SWE II, Advanced Reporting (Boston, MA Hybrid)

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 careers.klaviyo.com to see how we empower creators to own their own destiny.

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale. Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

The Advanced Reporting Team is responsible for delivering enterprise-grade, AI-powered analytics that help sophisticated brands understand their business, make confident decisions, and take action, all directly inside the Klaviyo platform. The team builds curated and customizable reporting experiences that serve all of Klaviyo’s customers with complex data, multiple channels, and advanced analytical needs. The team collaborates closely with Product, Design, and cross-functional partners across Klaviyo to ensure that insights are not just observed but operationalized, connecting analytics directly to action.

As an Engineer on the Advanced Reporting Team, you can expect to be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale across the Klaviyo platform. You'll own projects that contribute to driving adoption and retention of Marketing Analytics, building the reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You'll work full stack, from the data access and storage layers that power enterprise-grade analytics, to the front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.

How You Will Make a Difference

• Deliver advanced reporting capabilities that drive adoption and directly contribute to growth
• Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
• Develop product-led experiences that make the value of Marketing Analytics visible and compelling.
• Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo
• Have ample opportunities for growth as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations

Who You Are

• 2+ years of experience working in a in a full stack capacity
• Proficient in at least one modern programming language (Python or TypeScript/React are a plus)
• Degree or equivalent experience in a software engineering discipline
• Able to communicate well and collaborate effectively across disciplines
• Able to work with others on a team and partner closely with product, design, and data stakeholders
• Able to learn continuously and adapt to a high-growth environment
• Able to stick with and solve difficult problems, particularly around data at scale
• Excited to work at the intersection of data visualization, analytics, and AI. Building experiences that help customers understand and act on their data
• Interested in up-market product challenges, including enterprise-grade reliability, and customization.

Technologies We Use (non-exhaustive)

• Front-end technologies like TypeScript, React, Styled Components, and CSS
• Backend primarily using Django, FastAPI, and Python
• Infrastructure on AWS and Kubernetes

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Responsibilities

The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment.

Team Tech Stack

• AWS
• Python
• Terraform
• Kubernetes
• Clickhouse
• DynamoDB
• MySQL
• Kafka
• Spark
• Flink
• Iceberg
• Airflow

Required Skills

• Degree or equivalent experience in a software engineering discipline
• Proficient in using at least one modern programming language
• Able to communicate well
• Able to work with others on a team
• Able to learn continuously and adapt to a high growth environment
• Able to stick with and solve difficult problems
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Preferred Skills

• Experience designing, building, and operating distributed systems in a cloud computing environment
• Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
• Experience performance tuning and scaling systems
• Experience with OLTP and OLAP databases
• Experience with high volume data processing and storage systems
• Experience using Linux operating systems

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is on a mission to build a world-class, AI-first engineering organization. To do this, we’re looking for a Lead Product Manager of Developer Experience who will craft and drive the vision for our internal development environment. In this role, you’ll treat developers as your customers — making their daily workflows faster, safer, and more joyful. Your work will directly impact how quickly and confidently Klaviyo engineers can build, test, and release high-quality products.

In this role, you’ll partner deeply with Engineering leaders across Developer Infra, SRE, and product teams to shape how Klaviyo develops software. Your focus will be on outcomes: enabling faster cycle times, reducing incidents, leveraging AI to automate toil, and making Klaviyo a magnet for top engineering talent. Please note this is a hybrid role and requires 3 days/week in our Boston office. Fully remote candidates will not be considered at this time. 

What You’ll Do:

• Set the Vision: Define the product strategy for Klaviyo’s developer environment, aligning to our Need for Speed program — targeting massive improvements in engineering velocity, developer experience, and quality.
• Make Developers Your Customers: Treat Klaviyo engineers as the primary stakeholders. Identify pain points across the PDLC (coding, testing, deployment, maintenance) and prioritize investments that meaningfully improve their productivity and happiness.
• Accelerate with AI: Institutionalize AI as a force multiplier — from autonomous code agents to AI copilots for reviews and testing. Ensure Klaviyo leads in adopting AI-first development practices, reducing friction without compromising safety.
• Deliver Measurable Outcomes: Drive success metrics such as PR throughput, cycle time, change failure rate, developer experience index, and AI tool adoption.
• Champion Quality & Safety: Partner with SRE and QE to ensure reliability and safety are built into every paved path — incidents and defects decrease even as velocity increases.
• Scale for the Future: Guide architecture and tooling choices that will keep Klaviyo’s developer experience sustainable and scalable for years to come.
• Be Data-Driven: Establish instrumentation, run surveys, and analyze metrics to continuously validate impact and adjust based on outcomes, not assumptions.
• Build for Collaboration: Create transparency and open feedback loops with engineers, EMs, and leadership to ensure alignment and adoption of developer tooling and practices.

Who You Are:

• Strategic Builder: You’re an Engineering leader turned Product think or Founder. Or you’ve led product for developer platforms, infrastructure, or tools, with a track record of improving engineering velocity and reliability. 
• Developer-Centric Thinker: You deeply empathize with engineers and have experience making their workflows easier, faster, and safer.
• AI-Forward Mindset: You understand the transformative potential of AI in software development and can separate hype from practical value.
• Metrics-Oriented: You are fluent in measuring success via engineering productivity, quality, and reliability metrics (e.g., PR throughput, CFR, incident rates, DevEx indices).
• Influential Collaborator: You can partner with senior engineering leaders (Infra, SRE, QE, product teams) and influence without authority.
• Bias for Action: You thrive in fast-moving environments, balance short-term wins with long-term strategy, and bias toward automation and self-service.

Success in This Role Looks Like:

• Klaviyo engineers feel they can deliver faster, safer, and with higher confidence than ever before.
• AI tools are seamlessly integrated into workflows, with widespread adoption and measurable productivity gains.
• Development cycle times shrink, while incidents, defect escapes, and change failure rates decrease.
• Developers rank Klaviyo’s internal tooling and environment as best-in-class, making it a competitive advantage in attracting and retaining talent.
• The Dev Infra & SRE product strategy is clear, measurable, and directly tied to Klaviyo’s ability to deliver customer value quickly and reliably.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Klaviyo is on a mission to build a world-class, AI-first engineering organization. To do this, we’re looking for a Lead Product Manager of Developer Experience who will craft and drive the vision for our internal development environment. In this role, you’ll treat developers as your customers — making their daily workflows faster, safer, and more joyful. Your work will directly impact how quickly and confidently Klaviyo engineers can build, test, and release high-quality products.

In this role, you’ll partner deeply with Engineering leaders across Developer Infra, SRE, and product teams to shape how Klaviyo develops software. Your focus will be on outcomes: enabling faster cycle times, reducing incidents, leveraging AI to automate toil, and making Klaviyo a magnet for top engineering talent. Please note this is a hybrid role and requires 3 days/week in our SF office. Fully remote candidates will not be considered at this time. 

What You’ll Do:

• Set the Vision: Define the product strategy for Klaviyo’s developer environment, aligning to our Need for Speed program — targeting massive improvements in engineering velocity, developer experience, and quality.
• Make Developers Your Customers: Treat Klaviyo engineers as the primary stakeholders. Identify pain points across the PDLC (coding, testing, deployment, maintenance) and prioritize investments that meaningfully improve their productivity and happiness.
• Accelerate with AI: Institutionalize AI as a force multiplier — from autonomous code agents to AI copilots for reviews and testing. Ensure Klaviyo leads in adopting AI-first development practices, reducing friction without compromising safety.
• Deliver Measurable Outcomes: Drive success metrics such as PR throughput, cycle time, change failure rate, developer experience index, and AI tool adoption.
• Champion Quality & Safety: Partner with SRE and QE to ensure reliability and safety are built into every paved path — incidents and defects decrease even as velocity increases.
• Scale for the Future: Guide architecture and tooling choices that will keep Klaviyo’s developer experience sustainable and scalable for years to come.
• Be Data-Driven: Establish instrumentation, run surveys, and analyze metrics to continuously validate impact and adjust based on outcomes, not assumptions.
• Build for Collaboration: Create transparency and open feedback loops with engineers, EMs, and leadership to ensure alignment and adoption of developer tooling and practices.

Who You Are:

• Strategic Builder: You’re an Engineering leader turned Product think or Founder. Or you’ve led product for developer platforms, infrastructure, or tools, with a track record of improving engineering velocity and reliability. 
• Developer-Centric Thinker: You deeply empathize with engineers and have experience making their workflows easier, faster, and safer.
• AI-Forward Mindset: You understand the transformative potential of AI in software development and can separate hype from practical value.
• Metrics-Oriented: You are fluent in measuring success via engineering productivity, quality, and reliability metrics (e.g., PR throughput, CFR, incident rates, DevEx indices).
• Influential Collaborator: You can partner with senior engineering leaders (Infra, SRE, QE, product teams) and influence without authority.
• Bias for Action: You thrive in fast-moving environments, balance short-term wins with long-term strategy, and bias toward automation and self-service.

Success in This Role Looks Like:

• Klaviyo engineers feel they can deliver faster, safer, and with higher confidence than ever before.
• AI tools are seamlessly integrated into workflows, with widespread adoption and measurable productivity gains.
• Development cycle times shrink, while incidents, defect escapes, and change failure rates decrease.
• Developers rank Klaviyo’s internal tooling and environment as best-in-class, making it a competitive advantage in attracting and retaining talent.
• The Dev Infra & SRE product strategy is clear, measurable, and directly tied to Klaviyo’s ability to deliver customer value quickly and reliably.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the Mobile Channels Team:

The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. As brands increasingly rely on mobile to reach their customers, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available.

As a Lead Software Engineer on the Mobile Channels team, you'll provide technical leadership to a group of engineers building and scaling the services that power Klaviyo's mobile messaging pipeline end-to-end. You'll drive technical strategy, own critical components of the delivery infrastructure, and help the team navigate the unique challenges of multi-channel compliance, carrier regulations, provider integrations, and global deliverability. This is a hands-on technical leadership role where you'll contribute to architecture, code, and mentorship while shaping the future of mobile messaging at Klaviyo.

If you're excited about building systems that deliver millions of messages across channels with speed and reliability — and leading a team at the center of one of Klaviyo's fastest-growing product areas — Mobile Channels is the place to do it.

How You Will Make a Difference:

• Lead a team of engineers building and scaling Klaviyo's mobile messaging infrastructure across SMS, RCS, WhatsApp, and future channels
• Own and drive the architecture of key components in the mobile messaging pipeline — from message ingestion and routing to provider delivery and status tracking
• Design and implement scalable, high-throughput services in Python and Go
• Build systems that ensure reliable delivery at scale while managing carrier compliance, opt-in/opt-out requirements, throughput limits, and international messaging regulations
• Contribute directly to architecture and code, driving best practices and quality
• Collaborate cross-functionally with product, deliverability, compliance, and platform teams to expand mobile channel capabilities
• Grow and mentor engineers while helping shape the future of mobile messaging at Klaviyo
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up

Who You Are:

• 8+ years of engineering experience with strong backend and systems design skills
• Proficient in Python and/or Go and be able to rapidly learn the other
• Comfortable coding and reviewing complex systems — this is a hands-on role
• Experienced working with high-throughput distributed systems
• Skilled in system design and scaling infrastructure using AWS
• Strong business and product mindset — you think beyond the code to understand customer impact and commercial value
• Able to bring clarity to ambiguous requirements, breaking down undefined problems into actionable plans
• Self-led and driven to deliver incrementally — you ship value early and iterate
• Bonus: Experience with SMS/MMS infrastructure, RCS, WhatsApp Business API, carrier integrations, telecom APIs, or messaging compliance
• Clear communicator and collaborative team player
• Able to thrive in a hybrid team and deliver in a high-autonomy environment
• You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Technologies We Use:

• Python, Go
• AWS, Terraform, DynamoDB, Redis, SQL
• Kafka

Location:

This is a hybrid role based in Boston, with 3 days in office and 2 days remote per week.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the Mobile Channels Team:

The Mobile Channels team at Klaviyo powers text messaging across Klaviyo's platform — SMS, RCS, WhatsApp, and a growing set of future text messaging channels. Mobile is one of Klaviyo's fastest-growing product areas: as brands shift more of their owned-channel investment to mobile, our team builds the infrastructure that makes high-throughput, reliable delivery possible across a complex, multi-channel landscape. We own the systems that connect Klaviyo customers to their audiences through the fastest and most personal communication channels available — at scale, across geographies, and against a constantly evolving set of carrier, regulatory, and provider constraints.

As a Senior Lead Software Engineer on the Mobile Channels team, you'll be the technical area lead for Mobile Channels — driving architecture and technical direction across the SMS, RCS, and WhatsApp teams, and the new channels we'll add next. You'll define the cross-team technical roadmap for the pillar, own the architectural patterns that bind the channels together (ingestion, routing, provider integration, status tracking, compliance automation, deliverability), and lead the most complex, multi-team initiatives end-to-end. This is a hands-on technical leadership role: you'll contribute to architecture and code, lead design reviews, mentor Lead and Senior engineers across multiple teams, and partner closely with Engineering Managers to keep our systems healthy as the surface area grows.

If you're excited about being the senior IC who connects the technical strategy across an entire multi-channel messaging pillar — and doing it at one of Klaviyo's highest-growth product areas — Mobile Channels is the place to do it.

How You Will Make a Difference:

• Technical Strategy & Roadmap: Define and drive the cross-team technical roadmap for Mobile Channels, aligning architectural direction across SMS, RCS, WhatsApp, and emerging channels with company priorities and the broader Messaging Infrastructure strategy.
• Multi-Team Architecture: Own the architectural patterns that span the pillar — message ingestion and routing, provider integration, status tracking, deliverability, opt-in/opt-out and compliance automation, multi-region readiness — and embed them into team roadmaps, not just documents.
• Hands-On Technical Leadership: Stay in the code. Drive architecture and design across teams, lead high-stakes design reviews, build prototypes and reference implementations to de-risk decisions, and ship meaningful contributions yourself.
• Reliability & Scale: Raise the bar on reliability across Mobile Channels — drive systemic fixes for recurring incidents, lead deep dives on the highest-impact production issues, and embed stronger guardrails (end-to-end testing in CI, readiness gates, observability standards) into how the teams ship.
• Cross-Functional & Cross-Pillar Collaboration: Partner with Engineering Managers, Product, Deliverability, Compliance, and Platform leadership to sequence cross-team work realistically. Build durable peer relationships with senior technical leaders across Klaviyo's other engineering pillars to drive company-wide technical objectives that span multiple pillars — bringing the Mobile Channels perspective to those forums, and connecting our roadmap to the broader engineering strategy.
• AI-Forward Engineering: Put AI at the center of how the teams build and how the systems run — model AI-fluent engineering practices yourself, and drive concrete improvements to operational and developer workflows (anomaly detection, synthetic load, runbook automation) across the teams.
• Mentorship: Mentor other engineers regularly, primarily experienced lead and senior engineers across SMS, RCS, and WhatsApp, and represent Mobile Channels' technical bar in senior hiring.
• Continuous Improvement: Stay current with how the messaging ecosystem and engineering craft are evolving — new channels, carrier and regulatory shifts, AI tooling, performance and reliability practices — and translate that into concrete, sequenced improvements for the teams.

Who You Are:

• Experience: 12+ years of software engineering experience with a strong track record building and scaling distributed backend systems. Prior time as a Lead, Staff, or Principal engineer driving technical direction across multiple teams.
• Hands-On Technical Depth: Proficient in Python and/or Go, and able to rapidly learn the other. Comfortable coding, reviewing, and debugging complex systems — this is a hands-on role.
• Distributed Systems Expertise: Deep experience with high-throughput, event-driven, distributed architectures — ingestion pipelines, async processing, stateful workloads, eventing patterns, multi-region/data-locality concerns, and the failure modes that come with all of it.
• Architectural & Strategic Skills: Demonstrated ability to define technical strategy and drive cross-team architectural decisions in ambiguous, high-stakes environments — and to commit to a call even when there's disagreement, backed by data and prototypes.
• Cloud & Platform: Strong experience with AWS at scale; comfortable with Infrastructure as Code (Terraform), containerization, and modern observability stacks (metrics, logs, traces, SLI/SLO design).
• Business & Product Mindset: You think beyond the code — you understand customer impact, commercial value, and the cost-vs-conversion tradeoffs that come with mobile messaging — and you bring that mindset into architectural decisions.
• Influence & Communication: Exceptional communicator; can articulate complex technical concepts to engineers, product leaders, and executives, and can rally multiple teams toward sequenced, realistic improvements.
• AI Enthusiast: You've already experimented with AI in work or personal projects, and you're excited to dive in and learn fast. You're hungry to responsibly explore new AI tools and workflows, finding ways to make your work — and the systems you build — smarter and more efficient.
• Collaborative & Self-Led: Strong cross-functional partner; thrives in a hybrid team and high-autonomy environment; ships value early and iterates.

Nice to Have:

• Experience with the SMS, RCS, or WhatsApp ecosystems, including channel-specific protocols, opt-in/opt-out semantics, and familiarity with key 3rd-party entities (carriers, providers, regulators) and compliance rules and best practices.
• Background in performance optimization and a passion for digging into performance, scalability, and reliability issues to drive breakthrough solutions across distributed systems.
• Experience with multi-region deployments, data residency, and large-scale data or service migrations with minimal downtime.
• Familiarity with complex data management for testing, including large datasets and production-like data replication.

Technologies We Use:

• Python, Go
• AWS, Terraform, DynamoDB, Redis, SQL
• Kafka

Location:

This is a hybrid role based in Boston, with 3 days in office and 2 days remote per week.

Hydraulic Engineer

We’re seeking a Hydraulics Project Engineer to lead hydraulic and stormwater management design for transportation and infrastructure projects. In this role, you will lead our hydraulic design, providing technical guidance on hydraulic design (BSR/CSR), storm drainage systems, and erosion control for linear transportation and infrastructure projects. You’ll collaborate across disciplines, manage project deliverables, and ensure compliance with MassDOT and FHWA standards.

Location

This position reports to our Boston office and follows a hybrid work schedule. 

The Impact You Will Have

• Lead and mentor junior staff members, fostering technical growth and professional development
• Oversee hydrology and hydraulic analysis for the design and construction of transportation projects
• Review and approve stormwater management system and pond designs
• Manage hydraulic culvert/bridge design and permitting processes
• Provide strategic direction on erosion and sediment pollution control designs
• Ensure quality control and compliance with MassDOT standards and FHWA Hydraulic Design Manual
• Collaborate with multi-disciplinary teams to integrate hydraulics with overall civil/highway design
• Assist with client and stakeholder coordination, ensuring projects meet technical and regulatory requirements

What You Will Need

• Minimum 8 years of experience in hydraulic design for transportation projects
• B.S. in Civil Engineering or a related discipline
• Professional Engineer (PE) license required; ability to obtain Massachusetts PE
• Proficiency in AutoCAD, Civil 3D, HydroCAD, and HEC-RAS
• Experience developing deliverables per MassDOT standards (BSR/CSR experience preferred)
• Knowledge of erosion and sediment pollution control (MassDOT Level III Certification a plus)
• Strong understanding of the FHWA Hydraulic Design Manual
• Experience working in a multi-disciplinary engineering environment
• Excellent communication and leadership skills, with the ability to guide project teams and collaborate effectively

#LI-MF1

Transportation Project Manager 

We have a career opportunity for a civil/highway engineer with a track record of successful MassDOT project experience. Our Boston office specializes in roadway and bridges, traffic engineering, water and wastewater services and public involvement and provide exceptional services to MassDOT as well as several municipal local agencies. This person will play a key role in the growth of our MA operations and must be comfortable leading business development efforts as well as executing project work. 

Location 

This position will have a hybrid work schedule and, when in the office, will work from our Boston office.

The Impact You Will Have

• Serve as Project Manager on transportation projects
• Create and execute project work plans
• Manage project teams, accountable for budget and schedule
• Coordinate with all disciplines internally and externally with subconsultants
• Manage and mentor junior staff
• Contribute to Division strategic growth initiatives
• Champion relationships with key clients, including MassDOT
• Represent Benesch at industry and professional engagement events
• Ability to identify opportunities and lead strategic project pursuits
• Collaborate on regional growth strategy
• Leadership track potential

Additional responsibilities

• Provide direct supervision and overall leadership for assigned projects, ensuring alignment with organizational objectives and client needs
• Assume ownership of project financials, optimizing resource allocation and budget management to maximize profitability and client satisfaction
• Develop project scope, schedule, and budget, integrating them into work plans to streamline project execution and enhance efficiency
• Identify necessary resources and effectively delegate staff duties and responsibilities, fostering a collaborative and productive work environment
• Resolve scope, schedule, and budget discrepancies with Group Manager and client, maintaining positive relationships and enhancing client satisfaction
• Check and sign off on deliverables, ensuring completeness and adherence to quality standards, thus enhancing project outcomes and client trust
• Ensure compliance with project and company safety guidelines, mitigating risks and safeguarding project integrity and reputation
• Track lessons learned and share insights with team members, fostering a culture of continuous improvement and innovation
• Assist with Professional Development Plans for staff, nurturing talent and fostering a high-performance team culture
• Contribute to proposal development, leveraging project successes to secure new opportunities and drive company growth

What You Will Need

• BSCE or related discipline
• Registered Massachusetts Professional Engineer
• Minimum of 10 years of design experience including managing projects
• Experience working on MassDOT projects
• Seller/Doer mentality
• A track record of adhering to design budgets and project schedules
• Excellent communication and client relation skills

#LI-LM1

Traffic Project Manager

We have an exciting career opportunity for a Traffic Project Manager with our Civil, Traffic team. In this role you will work on various transportation projects with state and local transportation agencies. As a traffic project engineer, you will perform engineering analysis and supporting calculations / documentation relating to traffic safety and operations. You will also coordinate the drafting of project deliverables for various clients. The ideal candidate has experience with traffic and safety experience and comprehensive knowledge of local and MassDOT standards. 

Location

This position will have a hybrid work schedule and, when in the office, will work from our Boston, MA office.

The Impact You Will Have

• Create and execute project work plans
• Manage project analysis and deliverables
• Work in a collaborative environment, with team members, senior staff, and external clients
• Interacting with clients, agencies, and other project stakeholders, including the DOT
• Represent Benesch at industry and professional engagement events

What We Are Looking For

• A minimum of 10 years of diverse and progressive civil transportation and traffic engineering experience
• Licensed PE in the state of MA or planning to obtain licensure within one year
• PTOE License preferred
• B.S. Degree in Civil Engineering or equivalent
• Experience working with public agencies and/or municipalities. MassDOT experience is preferred
• Progressive experience with developing plans analysis and reports per DOT standards and requirements
• Excellent communication and client relation skills
• Strong organization skills with a track record for adhering to design budgets and schedules
• Advanced use of project-specific software such as CADD, Synchro, HCS, SIDRA, Vissum, etc. 
• Ability to work independently and develop task deliverables in a complete and reviewable manner
• Willingness to work at client sites, as needed, as an extension of client staff

#LI-MF1

At Klaviyo, we believe the future of software lies not in productivity tools for human users but in software that can run and optimize itself based on outcome or reward metrics. We’ve built the infrastructure and application that serve as the interface between businesses and consumers. We now have over 167,000 customers, billions of consumer profiles, and hundreds of billions of customer messages and follow-on conversion data. We are building state-of-the-art AI and machine learning technologies at Klaviyo to power marketing agent, service agent, and personalization products such as smart send time, audience optimization and product recommendations.

As a Machine Learning Platform Engineering Manager, you will lead a team of engineers building the core platforms, tools, and infrastructure that ML and AI engineers rely on to create advanced agents and models powering Klaviyo’s products. Your team will own platforms for training and deploying models and scaling systems that must operate reliably at Klaviyo’s data and traffic scale.

This is a backend-heavy, hands-on technical leadership role. You will manage and grow engineers, shape the technical roadmap for ML Platform, and collaborate closely with product, ML, data science, and infrastructure partners to deliver durable, high-leverage platforms that accelerate AI development across Klaviyo.

This role is hybrid and based in Boston.

How You’ll Make an Impact

• Enable AI / ML teams across Klaviyo to ship new models and ML-powered features faster, more safely, and more reliably.
• Evolve our ML and LLM platform architecture so teams can build, evaluate, and operate production ML systems with consistent patterns and best practices.
• Improve reliability, observability, and cost efficiency of ML training, inference, and other ML workloads that serve features like smart send time, audience optimization and product recommendations.
• Raise the bar on engineering and operational excellence for systems that support 167K+ customers and billions of events.
• Build and grow a high-performing, inclusive engineering team that operates with ownership, curiosity, and strong customer focus.

What You’ll Do

• Lead, coach, and grow a team of software / ML platform engineers (typically 6–10+ direct reports).
• Set clear goals, provide regular feedback, and support career development aligned with Klaviyo’s Engineering Career Architecture.
• Stay hands-on with the technology: participate in design reviews, code reviews, and occasionally ship code for critical paths or prototypes.
• Partner with product and technical leaders to define and evolve the ML Platform strategy and roadmap, balancing short-term delivery with long-term platform investments.

Learn more about the team’s work in our blogs on Ray Jobs & Ray Tune.

Who You Are

We encourage candidates to apply even if they do not meet all the qualifications listed. ML Platform and MLOps are rapidly evolving spaces and we are all constantly learning.

• 7+ years of experience as a software engineer, ML platform engineer, or similar, building backend or distributed systems.
• 2+ years of experience in a formal people leadership role
• Demonstrated experience launching and operating AI/ML systems in production at scale
• Strong proficiency in Python (or a similar backend language such as Go, Java, or Scala).
• Experience with cloud infrastructure and platform fundamentals (AWS, kubernetes):
• Familiarity with data-intensive systems: streaming or batch processing, data modeling, and designing systems with large-scale data in mind (spark, ray-data).
• Comfortable collaborating with cross-functional technical partners (ML, product, infra, security).
• Strong communication skills and a track record of driving clarity and alignment across teams.

Why You Should Join the Onboarding Team 

The [Product Expansion / Activation] team at Klaviyo is focused on improving the early experience of Klaviyo for new customers. We work diligently to improve the rate at which customers are successfully setting up their Klaviyo account and gaining value from the platform. Engineers on the team use data to discover opportunities for improvement, implement A/B tests to validate ideas, and work across the product to iteratively improve UX and reduce friction for new customers. We are looking for great generalist software engineers with a passion for the experience-layer that have an interest in or experience with growing a user-base and building a great customer onboarding pipeline and experience.

How You Will Make a Difference 

• In this role, you will drive the technical design and lead the implementation of high-impact user-experience improvements across the Klaviyo product, focusing on areas critical to new customer success and adoption. You will own the entire project lifecycle, working through ambiguity and requirements refinement to execution and delivery.
• You will own the end-to-end experimentation process, including contributing to the definition of strategy, architecting and implementing A/B tests to validate product hypotheses, and interpreting data to drive significant iterative improvements. You will be accountable for the quality and operational health of the features you deliver.
• You will serve as a technical leader and liaison, collaborating proactively with partners across teams to define and prioritize key technical initiatives to shape the long-term product roadmap.
• You will take a lead role in mentoring and providing technical guidance to other engineers on the team, elevating our experimentation, development, and operational practices, ensuring contributions consistently leave the product area better than when you found it.
• You will define the architectural approach and technical strategy for your area of responsibility, anticipating scalability and reliability needs, including leveraging AI agents in our work and delivery, ensuring the solution is robust, scalable, and adheres to best practices for security, performance, and maintainability.
• Working from our Boston HQ at least three days a week.

Who You Are 

• Have an extensive background in full stack software engineering, demonstrating deep understanding of Klaviyo’s systems and the ability to architect, deliver, and maintain software with an emphasis on high-scale, user-facing features, and their supporting APIs and infrastructure.
• Demonstrated ability to drive technical strategy and improvement using a data-driven mindset, leading to measurable business results and upholding best practices.
• Demonstrated technical experience in using and championing AI-driven software delivery practices and methods, a passion for continuous learning and mentoring, and the ability to work productively through others to set them up for project success.
• Experience driving A/B testing strategies for products with metric-based goals to significantly improve user experience, customer acquisition, and success is a strong plus.
• Thrives in an entrepreneurial type environment that is customer focused and strategic, while bringing clarity and technical stability to ambiguous challenges and prioritizing work that enables the team to move faster.

Technologies we use (not exhaustive):

• HTML, TypeScript, JavaScript, React
• Python, Django
• MySQL, Cassandra, RabbitMQ, Redis
• Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Ansible, Packer, and other DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the Email Platforms Team:

The Email Platforms team at Klaviyo is building the next generation of infrastructure to support reliable, scalable, and performant email delivery. Our mission is to help Klaviyo reach enterprise scale by evolving and owning our email sending pipeline end-to-end. We're investing heavily in our homegrown email delivery infrastructure, giving us greater control, performance, and reliability in how we deliver emails for some of the largest brands in the world.

You’ll join a high-impact, high-ownership team tackling technical challenges around high-throughput systems, distributed messaging, and service performance at scale. Our work directly impacts customer satisfaction and business success. If you’re excited about email infrastructure, systems design, and high-scale backend development in Go, this is the role for you.

How You Will Make a Difference:

• Own and drive key components of the email pipeline architecture
• Design and implement scalable, high-throughput services in Go
• Develop systems that manage message queues and email delivery
• Help ensure our systems scale with customer growth, especially as we bring on larger enterprise accounts
• Collaborate cross-functionally to ensure the highest standards of performance, reliability, and deliverability
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• Senior-level backend engineer with strong systems design skills
• Proficient in Go (required). experience with Python is a plusExperienced working with high-throughput distributed systems
• Familiar with message queues (e.g., Pulsar, Kafka, RabbitMQ, SQS)
• Bonus: Experience with email infrastructure, MTAs, deliverability, or mailops
• Comfortable working independently on projects from design through production
• Able to thrive in a mostly remote team and deliver in a high-autonomy environment
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Technologies We Use:

• Languages: Go, Python
• Infrastructure: AWS, DynamoDB, Kubernetes, Terraform

Frameworks: Gin (Go), Django (Python)

• Messaging: Pulsar, Kafka, other message queues
• Email Systems: MTA’s (GreenArrow), Proxy servers, email deliverability tools, monitoring tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the team

When you hear billing, chances are you might think of a dusty corner office with several decade old file cabinets. Klaviyo’s Billing & Monetization team is not that! We oversee the payments and enforcement infrastructure that allow hundreds of thousands of companies to send billions of emails and text messages on BFCM weekend. The team is responsible for tracking all product usage to bill customers, managing customer subscriptions and payments, and pricing for new and existing products. As Klaviyo continues to scale, our team will play an instrumental role in capturing revenue (both domestic and international), building features that help users understand where their dollar spend goes, complying with regulatory requirements, facilitating internationalization and assisting in all pricing related changes at Klaviyo.

About the role

The Billing & Monetization team is seeking a Software Engineer II to help drive Klaviyo forward in its mission to offer entrepreneurs the best possible tooling at the lowest possible price. You will drive outcomes and decisions directly related to Klaviyo’s growth in international markets, its relationship with large customers with multiple subsidiaries and unique payment requests, how new products are priced and packaged and more.

How you’ll make an impact

• Own customer facing products that help customers better understand how they are billed on Klaviyo. 
• Develop new approaches to track billions of product usage events accurately and reliably.
• Work with Klaviyo customers and stakeholders to build a platform that maximizes value for our customers and for Klaviyo. 
• Make decisions and own outcomes around infrastructure, application logic, documentation, product changes, UI and more

What we’re looking for:

• You have a track record of building high quality products and systems. You take pride in writing clean, high quality code. 
• 3+ years of experience as a software engineer
• Previous experience RESTful APIs, pub/sub systems, and 3rd party integrations 
• You have some experience developing full stack products. 
• Experience working on team projects and/or leading projects.
• You’re excited to use AI-assisted development tools thoughtfully to move faster, improve code quality, and accelerate learning, while applying strong engineering judgment. 

Nice to have:

• Experience building payment systems and or integrating with payment providers.
• Experience working with cross functional teams on bringing products to market, financial reconciliation, etc 
• Passion for understanding and experimenting with the levers that drive business outcomes, including pricing, presentation, vendor relationships and more.
• Experience talking to customers and listening deeply to their wants and needs.

Technologies we use (no experience necessary)

We currently use the list of technologies below but are always looking to find the best tools for the jobs that help our customers (and very open to adding technologies given the right circumstances). We don’t expect you to have any experience in the tools below and we will provide whatever training you need to level up and succeed!

Our current tech stack:

• Python, Django, React, Typescript
• Pulsar, Celery
• MySQL, Redis, Memcached
• AWS (EC2, RDS, S3, etc.), Terraform

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the Role

Klaviyo is looking for a Backend Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using cutting-edge distributed systems and AI technologies. You’ll improve existing products and develop new capabilities that push the boundaries of what’s possible for our customers.

As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.

The Channel Rendering & Engagement team builds and runs the core infrastructure that turns Klaviyo’s templates and data into the actual messages customers receive - across email, SMS, push, and previews - at massive scale and low latency. We own the high‑performance rendering pipeline, engagement tracking, and compliance-related services. These services collectively ensure that messages are delivered quickly, reliably, and safely. We are the team that guarantees every personalized message is rendered correctly, tracked accurately, and meets strict SLOs, so the rest of Klaviyo can innovate on top of a rock-solid communications platform.

We work cross-functionally by default. Partnering closely with teams across the org gives us broad exposure to the product, lets us unblock other teams, and allows us to drive impact well beyond our immediate scope. The work is fast-moving, varied, and forces us to constantly learn and adapt.

What We’re Looking For

• Experience with distributed systems
• A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code
• 3+ years of experience in a software engineering role
• Experience building end-to-end software solutions
• Familiarity with various AI tools that enhance the software development lifecycle
• Familiarity with code reviews and leading or participating in robust testing practices
• Experience working in agile, fast-paced environments

Nice to Have

• Python
• Golang
• AWS / knowledge of building cloud-native solutions

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the Role

Klaviyo is looking for a Software Engineer II to join the Flows Platform team. In this role, you will help build and operate the core engine that powers all automated lifecycle programs at Klaviyo. You’ll play a critical part in delivering robust, high-scale backend solutions that process billions of events, send millions of messages, and ensure our customers’ automations run reliably and without delay.

As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.

On the Flows Platform team, we focus on the core of Klaviyo’s automation engine, ensuring that hundreds of millions of actions per day are processed accurately and efficiently to power user workflows. Our work revolves around the core backend systems that determine who receives a message and when, handling complex logic for triggering, filtering, and scheduling at massive scale. We also manage the data stores and infrastructure that support these operations, ensuring reliability while we actively re-architect our stack to support the next generation of event-driven features.

We are responsible for:

• Core Execution Engine: The logic for flow triggering, evaluation (filtering/branching), and action execution. We ensure that every event is processed accurately and efficiently.
• Scheduling & Orchestration: Managing time-based logic, delays, and the dispatching of millions of scheduled actions per day.
• High-Scale Infrastructure: Owning the execution data stores and pipelines that must run reliably at huge scale.

Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we’re always learning and evolving.

What We’re Looking For

• 3+ years of experience in a software engineering role with a focus on backend systems and high-volume data processing.
• Strong Backend proficiency: Deep experience building robust services and APIs using Python and Django (or similar frameworks).
• Distributed Systems knowledge and experience working with asynchronous task queues (e.g. Celery, RabbitMQ, Pulsar) and understanding the challenges of eventual consistency and distributed state.
• Proficiency with relational databases (MySQL/Aurora) and high-scale NoSQL stores (Redis, or DynamoDB).
• A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices (unit, integration, and load testing).
• Experience working in fast-paced environments and collaborating with other engineering teams to solve cross-functional problems.
• Experience using AI coding tools like Claude Code or Cursor to accelerate development.

Nice to Have

• Experience with Event-Driven Architecture and streaming technologies like Pulsar or Kafka.
• Experience with Infrastructure as Code (Terraform) and container orchestration (Kubernetes).
• Experience creating technical designs for complex features or system migrations.
• Background in building platforms that support other engineering teams.
• Experience building cloud-native solutions, ideally on AWS

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Team overview

The Core Infrastructure – Identity & Organizations (Core IO) pillar owns the foundational substrate for identity, access, organizations, and platform integrity at Klaviyo. We manage the critical path of the user journey from login, to enforcing permissions, to operating within the correct organization and regional context so that the rest of the platform can move fast and stay secure.

Within Core IO, the Identity & Access Management (IAM) team builds and operates Klaviyo’s centralized authentication and authorization platform for both humans and machines. We power login, SSO, MFA, SCIM, internal service auth, and external API auth, and we are in the middle of transforming Klaviyo’s identity stack into a unified, enterprise-grade platform.

Why this role is exciting

• Shape Klaviyo’s identity platform: You’ll help design and build the services that every product team and customer relies on login, sessions, permissions, and secure service APIs are all on your roadmap.
• High-leverage, platform-level impact: Your work will directly affect engineering velocity (auth as a shared service), Enterprise deal wins (SSO/SCIM/RBAC/ReBAC), and Data Residency (region-aware auth flows).
• Deep systems and security learning: You’ll work on distributed systems, modern IdP integration, machine auth, and secure-by-default patterns with strong mentorship and meaningful ownership.

What you’ll do

As a Software Engineer II on the IAM team, you will:

• Own features end-to-end across design, implementation, rollout, and observability for core authN/Z capabilities such as login flows, MFA, SSO enhancements, SCIM, sessions, and role/permission enforcement.
• Contribute to auth platform extraction: Help move authentication and authorization paths out of the legacy monolith into dedicated micro services, including token verification, API key services, and internal service auth behind Kong and IdP platform.
• Build and maintain shared SDKs and contracts that let internal teams adopt IAM services quickly (OAuth, machine auth, org-scoped authZ), making “secure by default” the simplest option for new surfaces and agents.
• Collaborate with Organizations & Accounts to support org-scoped identity, multi-account SSO, and flexible org/account models that underpin enterprise experiences and cross-account analytics.
• Partner with Platform Integrity & Protection (PAA), Security, and Compliance on secure patterns for account protection (MFA, recovery, device/session risk), ensuring IAM is a strong foundation for account security and anti-abuse controls.
• Improve reliability and performance of IAM services by instrumenting metrics and alerts, debugging production issues, and contributing to on-call rotations and incident reviews.
• Help define and refine standards for authentication and authorization across the platform APIs, error semantics, audit logging, and integration patterns so product teams don’t reinvent them per-service.

Who you are

You are a mid-level software engineer who has shipped and supported production systems, and who wants to specialize in identity, security, and platform infrastructure.

• Experienced systems builder: You have 2-5+ years of professional software engineering experience, including building and operating backend or full-stack services in production.
• Strong fundamentals & debugging skills: You are comfortable reasoning about data models, API design, concurrency, and failure modes, and you can dig through logs, metrics, and traces to identify root causes and implement systemic fixes.
• Security & identity motivated: You’re excited by authentication, authorization, and account security problems and want to deepen your expertise in areas like MFA, SSO, SCIM, OAuth, and roles/permissions.
• Platform/infra mindset: You like building reusable services and tools that other engineers rely on, including libraries, SDKs, and patterns that raise the floor for quality and security across the org.
• Ownership & collaboration: You take responsibility for outcomes, not just code. You’re comfortable driving a small project or component, coordinating with partner teams, and communicating trade-offs clearly in design docs and PRs.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Minimum qualifications

• 2-5+ years of professional software engineering experience.
• Proficiency in at least one of Python, Go, or TypeScript/JavaScript, and comfort working on backend and/or service-oriented systems.
• Experience building or operating web services or APIs backed by relational databases and/or caches (e.g., MySQL, Postgres, Redis).
• Familiarity with authentication or authorization concepts (sessions, tokens, OAuth, SSO, MFA, RBAC) and an interest in going much deeper.
• Exposure to CI/CD pipelines and modern development workflows (code review, testing, deployments, on-call participation or support).

Nice to have

You don’t need all of these, but experience in any of the following is a bonus:

• Building or integrating with IdPs and identity protocols (SAML/OIDC, enterprise SSO, SCIM, OAuth, API key management).
• Working with cloud-native infrastructure (AWS, Kubernetes, Terraform, Kong, or similar API gateways and service meshes).
• Experience with high-scale distributed systems or performance-sensitive services where availability and latency targets matter (e.g., auth endpoints, org lookups, internal service auth).
• Familiarity with observability stacks (Grafana, Datadog/Splunk, internal metrics/logging frameworks) and using them to drive reliability improvements.
• Interest or experience in adjacent Core IO domains like Organizations & Accounts or Platform Anti-Abuse (PAA), especially where they intersect with auth and account security.

Technologies we use (not exhaustive)

You’ll work with some of these on day one and have opportunities to learn the rest:

• Languages & frameworks: Python, Django, Go, TypeScript/React.
• Identity & access: OAuth, API keys, SSO, SCIM, MFA, roles & permissions, internal service auth SDKs.
• Infrastructure & platform: AWS, Kubernetes, Terraform, Kong, microservice platform for auth and organizations.

Data & observability: MySQL, Redis, Kafka/queues, Grafana, Splunk, internal logging/metrics pipelines.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the Role

Klaviyo is looking for a Full Stack Engineer to join the Social team and help turn social conversations into long‑term customer relationships. In this role, you'll build end‑to‑end experiences that connect channels like Instagram DMs to Klaviyo’s core platform—capturing high‑intent profiles, consent, and engagement data from social traffic.

As a Software Engineer II, you’ll tackle complex technical challenges, explore multiple solution paths, and weigh business and technical trade‑offs to determine the best approach. You’ll contribute actively to design discussions, help shape architectural decisions, and ship well‑designed, thoroughly tested features that prioritize reliability, performance, and a great user experience.

On the Social team, we focus on crafting intuitive, high‑impact surfaces that make it easy for brands to grow their lists from social. This includes the experiences that power Instagram auto‑replies and future social entry points, the supporting APIs and services that ingest and transform social events, and the data and analytics that show customers how social programs drive profile growth and revenue. We partner closely with teams across messaging channels, onsite experiences, and profiles to create a cohesive, multi‑channel growth engine.

Collaboration is central to how we work. You’ll work with engineers, product managers, designers, and data partners across Klaviyo, gaining exposure to many parts of the stack and product. This keeps the work varied and gives you opportunities to see your code in action across different surfaces—from customer storefronts to internal analytics tools.

Looking ahead, Social is expanding beyond our first Instagram auto‑reply experiences into a broader social growth platform. We’ll be deepening our native social integrations, building smarter targeting and personalization based on profile and event data, and creating new ways to route social traffic into high‑conversion destinations like landing pages and onsite modules. Our goal is to make Social not just a feature, but a growth platform that helps brands turn every conversation into a durable customer relationship.

What We’re Looking For

• A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code
• 3+ years of experience in a software engineering role
• Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies
• Familiarity with code reviews and leading or participating in robust testing practices
• Experience working in agile, fast-paced environments

Nice to Have

• Experience with Python and related technologies
• Experience with React and related technologies
• Background in digital marketing or customer data software
• Exposure to machine learning concepts or applications
• Experience building cloud-native solutions, ideally on AWS

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the Role

Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You’ll improve existing products and develop new capabilities that push the boundaries of what’s possible for our customers.

As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.

The WhatsApp team builds the end-to-end experience for Klaviyo’s WhatsApp channel, making it easy and powerful for customers to use our newest messaging channel effectively. We own the core WhatsApp product surface across Klaviyo, ensuring it’s available wherever customers expect it, while building and operating WhatsApp-specific capabilities like outbound and inbound pipelines and Meta template management.

We work cross-functionally by default. Partnering closely with teams across the org gives us broad exposure to the product, lets us unblock other teams, and allows us to drive impact well beyond our immediate scope. The work is fast-moving, varied, and forces us to constantly learn and adapt.

Looking ahead, our focus is on scaling WhatsApp across Klaviyo. That means closing feature gaps, rapidly integrating new Meta capabilities, and running targeted adoption experiments to drive usage. The goal is simple: deliver the most complete, high-quality WhatsApp integration in the market—and set the bar for what a marketing platform can do with this channel

What We’re Looking For

• A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code
• 3+ years of experience in a software engineering role
• Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies
• Familiarity with code reviews and leading or participating in robust testing practices
• Experience working in agile, fast-paced environments

Nice to Have

• Experience with Python and related technologies
• Experience with React and related technologies
• Background in digital marketing or customer data software
• Exposure to machine learning concepts or applications
• Experience building cloud-native solutions, ideally on AWS

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Why You Should Join the Onboarding Team 

The [Product Expansion / Activation] team at Klaviyo is focused on improving the early experience of Klaviyo for new customers. We work diligently to improve the rate at which customers are successfully setting up their Klaviyo account and gaining value from the platform. Engineers on the team use data to discover opportunities for improvement, implement A/B tests to validate ideas, and work across the product to iteratively improve UX and reduce friction for new customers. We are looking for great generalist software engineers with a passion for the experience-layer that have an interest in or experience with growing a user-base and building a great customer onboarding pipeline and experience.

How You Will Make a Difference 

• In this role, you will implement user-experience improvements across the Klaviyo product, especially in areas that affect new customers.
• You will design and implement A/B tests to validate ideas, and interpret the results of these tests to inform iterative improvements to the product.
• You will collaborate with marketing, data-science, sales, and engineering teams to discover areas for improvement, as well as engaging with customers directly to learn more about how we can better serve their needs.
• You will help us improve our experimentation and development processes, and mentor other engineers on the team.
• You will clearly define the goal, constraints, and context for AI agents, while remaining responsible for the correctness of the implementation, with a focus on security, performance, and maintainability.
• Working from our Boston HQ at least three days a week.

Who You Are 

• Have a background in full stack software engineering with experience building and improving products with an emphasis on user-facing features, along with the APIs and infrastructure to support them.
• Passionate about growing and improving a product on a daily basis using a data driven mindset.
• Experienced with A/B Testing products with metric based goals to improve user experience and customer acquisition and success (nice to have)
• Demonstrated ability and success in using AI-driven software delivery practices and methods and/or a willingness and excitement to learn.
• Thrives in an entrepreneurial type environment that is fast paced, customer focused, and strategic.

Technologies we use (not exhaustive):

• HTML, TypeScript, JavaScript, React
• Python, Django
• MySQL, Cassandra, RabbitMQ, Redis
• Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform, Ansible, Packer, and other DevOps tools

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the Role

Klaviyo is looking for a Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You’ll improve existing products and develop new capabilities that push the boundaries of what’s possible for our customers.

As a Software Engineer II, you’ll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You’ll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.

On the Flows Insight & Management team, we focus on crafting an exceptional user experience for the Flows product area which empowers users to build, manage, and analyze automated workflows seamlessly. Our work revolves around an intuitive visual editor that lets users create and modify flows with ease, as well as the rich insights and analytics that help them understand how their flows are performing. We also manage APIs that integrate with other services, creating a powerful ecosystem for users to drive automation in new and exciting ways.

Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we’re always learning and evolving.

Looking to the future, our team is focused on expanding the capabilities of Flows. We’ll be enhancing our flow editor and ecosystem to make it even easier to build and expand on flows. We’re also building smarter recommendations and actionable insights to help users optimize their flows. With our continued evolution, we envision Flows not just as a tool, but as a platform that empowers teams to do more, build more, and connect seamlessly.

About the Team

^{The Flows Insight & Management team owns how customers design, understand, and manage automated lifecycle programs across channels like Email, SMS, and WhatsApp. We are responsible for:}

• ^{The Flows User Experience: Building an intuitive visual editor, staff-side management tools, and the analytics previews that allow users to create and modify flows with ease.}

• ^{Developer APIs: Managing the configuration and APIs that handle creating, editing, cloning, and versioning flows.}

• ^{Analytics & Reporting: Delivering rich insights, node-level metrics, and revenue/conversion analytics that help users understand exactly how their automations are performing.}

• ^{Looking to the future, we are focused on expanding the flow editor ecosystem and building smarter recommendations and actionable insights to help users optimize their strategies.}

What We’re Looking For

• 3+ years of experience in a software engineering role with a proven track record of building high-quality products.
• Strong Full Stack proficiency: Experience building end-to-end solutions using Python and Django on the backend, and React and TypeScript on the frontend.
• API Design experience: Ability to design and maintain robust RESTful APIs (experience with developer-facing APIs is a plus).
• Infrastructure & Database knowledge: Familiarity with relational databases (MySQL/Aurora) and exposure to cloud infrastructure, specifically AWS.
• Engineering best practices: A focus on writing clean, maintainable code, participating in code reviews, and leading robust testing practices.
• Agile collaboration: Experience working in fast-paced environments and partnering effectively with Product and Design teams.
• Experience using AI coding tools like Claude Code or Cursor to accelerate development.

Nice to Have

• Experience with infrastructure as code, such as Terraform.
• Familiarity with asynchronous task queues and event-driven architecture (Pulsar, Kafka, RabbitMQ, Celery).
• Background in digital marketing, customer data software, or building analytics products.
• Exposure to machine learning concepts, as we work towards building smarter recommendations for our users.
• Experience building cloud-native solutions, ideally on AWS.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

GTM Experiences defines how Toast engages with, supports, and grows customers across their entire lifecycle. This organization brings together Onboarding, Support, and Product-Led Growth (PLG) into a unified group responsible for designing and delivering a cohesive, end-to-end customer experience powered by intelligent systems and agents.

This team builds the platforms and experiences that shape how customers discover value, get started, receive help, and expand their use of Toast. We operate at the intersection of customer experience, agent experience, and product experience, developing systems that enable seamless transitions across lifecycle stages and channels.

GTM Experiences owns a broad ecosystem that includes customer onboarding journeys and activation systems, product-led growth surfaces and in-product engagement, customer support experiences and agent tooling, communications and engagement infrastructure, and AI-powered and agent-assisted lifecycle capabilities.

As Toast continues to grow, we are reimagining the customer lifecycle as a connected, intelligent platform rather than a set of siloed experiences. GTM Experiences plays a critical role in defining how these systems come together to deliver consistent, scalable, and high-quality experiences from first touch through long-term success.

About This Role

We are building the Customer Experience Platform that will define how Toast engages, supports, and grows customers at scale.

As a Senior Principal Engineer for GTM Experiences, you will serve as the LOB-level technical leader responsible for defining and driving the multi-year strategy that shapes how Toast delivers experiences across onboarding, support, and product-led growth. You will translate business strategy into coherent technical direction, align engineering investments with measurable customer and operational outcomes, and guide the architectural evolution to create a seamless customer journey.

This role extends beyond ownership of individual systems or services. You will help define how lifecycle stages connect into a unified experience and drive platform level decisions that unlock business outcomes. You will help define how core components of the support ecosystem — including AI-assisted capabilities, contact center infrastructure, agent tooling, and customer-facing support experiences — work together as a unified platform. You will partner closely with engineering, product, design, Care, Onboarding, and Growth leadership to establish a shared technical vision, make high-impact architectural decisions, and ensure that our platform scales with increasing complexity while improving customer outcomes.

Success in this role requires strong systems thinking, platform design expertise, and the ability to operate across organizational boundaries. You will bring clarity to a complex ecosystem, drive alignment across teams, and ensure our investments translate into measurable improvements in customer activation, retention, and support quality.

A day in the life (Responsibilities)

• Define and drive the multi-year technical strategy for the GTM Experiences LOB, ensuring alignment with company goals and long-term customer experience outcomes.
• Lead architectural direction for critical platform capabilities that support customer and agent experiences, including contact center infrastructure, AI-assisted support systems, internal agent tooling, onboarding and activation systems, product-led growth experiences
• Evaluate and de-risk major technical investments such as platform migrations, vendor integrations, and large-scale architectural changes.
• Ensure that systems across onboarding, support, and growth operate as a cohesive, extensible platform rather than disconnected point solutions.
• Partner with product, design, Care, Onboarding, and Growth leadership to translate strategic goals into scalable technical solutions that improve outcomes and operational efficiency.
• Establish architectural principles and engineering standards that support long-term platform scalability, flexibility, and velocity.
• Provide technical leadership and mentorship to senior engineers, helping raise the overall engineering bar across the GTM Experiences organization.
• Influence technical direction across multiple teams and functions, aligning stakeholders around shared platform decisions and long-term strategy.
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• 10+ years of experience in software engineering, with a strong background building and evolving large-scale distributed systems and customer-facing platforms.
• Demonstrated experience defining technical strategy or architecture for complex platforms spanning multiple systems and teams.
• Strong systems thinking and platform design experience, with the ability to connect individual services and tools into coherent technical ecosystems.
• Proven ability to lead high-impact architectural decisions and guide organizations through complex technical transitions.
• Experience influencing technical direction across teams and collaborating with product, design, and operational partners to deliver meaningful business outcomes.
• Strong communication skills and the ability to articulate complex technical ideas clearly to both technical and non-technical stakeholders.
• A track record of mentoring senior engineers and raising the engineering bar within an organization.
• Experience working on customer experience platforms, workflow systems, or other complex operational software environments is strongly preferred.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

#LI-REMOTE

Why You Should Join the PLS (Profiles, Lists and Segments) Team:

The PLS team is responsible for building and scaling the core customer data experiences at Klaviyo — profiles, lists, and real-time segments. We own the tools that let customers understand who their users are, group them into meaningful audiences, and keep those audiences up to date as new data flows in. Our work underpins how customers target, personalize, and measure every message they send, making this product area core to Klaviyo’s continued success.

As a Senior Software Engineer on the team, you’ll play a key role in designing and building scalable systems that power how customers manage and activate their data. Partnering closely with product managers, data scientists, and other platform teams, you’ll help define scope, translate complex data and UX problems into practical implementations, and build intuitive workflows that give customers confidence in their audiences. This role leans frontend, with a strong focus on crafting thoughtful, reusable components and seamless user experiences using technologies like TypeScript, React, Python, and Django. There are ample opportunities for growth given the scope of this role and the team’s central role in Klaviyo’s product.

How You Will Make a Difference:

• You will be a core member of the PLS team, working on impactful customer-facing features that will make our product the best in the industry.
• You will work on creating easy-to-use editors that are highly performant.
• You will work closely with Product, Design, and Data Science to provide the best experience for our customers.
• You will mentor team members and drive initiatives that help the team learn new skills.

Who You Are:

• 5+ years of experience in full-stack development with strong hands-on skills in React, Redux, JavaScript, HTML, and CSS, along with familiarity with general web best practices.
• Has a track record of delivering and shipping work powered by or accelerated through AI.
• Experience conducting code reviews and running a robust testing cycle using automated testing practices and frameworks, including end-to-end and integration tests (e.g., cypress, pytest).
• Experienced with RESTful and GraphQL APIs, and evolving APIs and data models to support product success.
• You take ownership of your work—from requirements and edge cases to implementation and testing—and are motivated by solving tough problems with others.
• Proven track record of leading complex, multi-quarter projects involving cross-team collaboration and being accountable for their outcomes

Technologies We Use (not exhaustive):

• React, TypeScript, Redux
• Python, Django
• Amazon Web Services (EC2, RDS, Aurora, S3, etc.), Terraform, and other DevOps tools
• MySQL, RabbitMQ, Redis, ProxySQL

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Senior Software Engineer, AI & Analytics Data Enablement

Location: Boston, MA

As a Senior Software Engineer on Klaviyo’s AI & Analytics Data Enablement team, you’ll build and own the data foundations that power our Analytics & AI engine. You’ll design resilient pipelines and analytics models that turn billions of events and domain objects into trusted, actionable insights for Analytics and AI product features. “Your work will help our customers understand the performance of their marketing and power AI & Analytics experiences for our customers.”

About the Role

You’ll join a cross-functional R&D team focused on the availability, quality, and usability of AI and Analytics data for our customers. In this Senior-level role, you’ll lead complex software and data engineering projects across multi-component systems, from shaping requirements to design, implementation, and long-term operation. You’ll be a go-to expert for AI and analytics data, collaborating with product managers, AI, analytics, and other engineering teams to ensure our data is accurate, observable, and ready to drive insights and enable AI/ML products at scale.

You’ll also help evolve our technical standards for data engineering, raising the bar on data modeling, performance, and reliability, while mentoring other engineers on best practices and modern data tooling.

What You’ll Do

Lead the design and implementation of robust, scalable data pipelines and core tables for Klaviyo. These pipelines are crucial for powering customer facing analytics features and powering AI models to unlock the next stage of Klaviyo's products

Partner with Product, Engineering, and AI/ML teams to define clear, consistent metrics and data contracts that align to business goals and product outcomes.

Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up for example, using AI to generate tests, detect anomalies, summarize data issues, or accelerate analysis.

Mentor other engineers in data engineering best practices, code quality, observability, and system design; contribute to shared libraries, patterns, and tooling that improve developer velocity across R&D.

Who You Are

6+ years of software engineering with at least 4 or those being data engineering experience, with a strong track record building and operating data pipelines and analytics models in production.

Deep proficiency in large-scale SQL and data modeling for analytics. 

Strong programming skills in a modern language commonly used for data engineering (e.g. Python), and familiarity with orchestration and transformation tooling (e.g., Airflow, EMR, Spark/pyspark, or equivalents).

Experience working with modern data platforms (e.g., columnar data warehouses, object storage) and processing frameworks (batch and/or streaming).

Demonstrated ability to lead complex projects spanning multiple components and engineers—driving clarity, making tradeoffs, and delivering measurable impact on reliability, performance, or business outcomes.

Comfortable owning systems in production: you think about observability, incident response, incremental rollouts, and long-term maintainability as part of the design.

Excellent communication skills; you can explain data tradeoffs and constraints to non-technical partners and influence decisions with clear reasoning.

You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Inclusive, low-ego collaborator who values diverse perspectives and is motivated by helping the team succeed, not just shipping your own code.

Nice to Haves

Experience in a product-led SaaS environment with large-scale event data

Experience in a customer facing data engineering role supports AI/ML features and Analytics Dashboards.

Hands-on work with analytics engineering tools and practices (e.g., dbt, metrics layers, semantic models).

Experience building near real-time or streaming pipelines for user-facing analytics or monitoring.

Domain experience in martech, marketing automation, or customer engagement platforms.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the Role

Our team is looking for a Senior Full Stack Engineer to lead key initiatives that will enhance our product offerings and support our company’s growth. In this role, you'll play a crucial part in shaping outcomes by developing innovative end-to-end solutions using both front-end and back-end technologies. You’ll optimize existing products and create new solutions that redefine what’s possible for our customers.

As a Senior Engineer, you’ll tackle complex challenges, develop multiple solutions, and evaluate business and technical trade-offs to determine the best path forward. You’ll also act as a leader and mentor, and drive key technology decisions. Additionally, you’ll be responsible for deploying well-designed, thoroughly tested solutions that ensure reliability and performance.

The New Products team drives Klaviyo’s most ambitious innovations—creating and scaling the company’s boldest new bets. As a nimble group with a flat structure and fast-moving culture, we prioritize simplicity, speed, and impact. Every team member is expected to take radical ownership—rolling up their sleeves, collaborating across disciplines, and pushing beyond traditional role boundaries to make things happen. Success in this role means delivering exceptional work that sets the standard for velocity and results company-wide, while helping shape Klaviyo’s future through experimentation, creativity, and executional excellence.

What We’re Looking For

• A proven track record of building high-quality products and systems, with pride in writing clean, high-quality code.
• 7+ years of experience in a software engineering role.
• Strong experience developing end-to-end software solutions or extensive experience with both front-end and back-end technologies.
• Experience leading projects and being accountable for their outcomes.
• Experience mentoring team members or driving initiatives that help the team learn new skills.
• Experience conducting code reviews and running a robust testing cycle.
• Experience working in agile, fast-paced environments.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Nice to Have

• Skills with Python and related technologies
• Skills with React and related technologies
• Experience developing digital marketing or customer data software solutions.
• Experience with machine learning.
• Experience building cloud-native solutions, ideally with AWS.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

#indeedRD

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Klaviyo operates a real-time data platform coded in Python built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Team Overview: 

DevX is a hybrid product–platform team focused on empowering external developers and partners by supporting applications they build on top of Klaviyo’s Public APIs and features. Examples of these areas of ownership include:

• our Application directory, which is used to promote and allow Klaviyo customers to discover applications that they can enable for their account
• the self-serve application process for a Partner to submit an Application and the ability for Klaviyo staff to review and approve an Application
• API Analytics is a system used by developers and partners to diagnose issues in their applications and understand their API usage. It is powered by a near real–time data pipeline that processes over 160,000 events per second.
• Autogenerated API docs, SDKs, CLIs & MCP servers

Responsibilities:

You will have an opportunity to make a major impact on the direction and priorities of the team.

As an engineer on this team, you will work on Klaviyo’s app marketplace, application publishing workflows, and the developer-facing tools and systems that support our app ecosystem. Additional responsibilities include providing quality PR reviews for our code-owned areas of the application, collaborating with product owners and providing technical expertise on upcoming Product Specifications, and participating in the definition of well-defined, estimated, and planned scopes of work.

Required Skills: 

• 5+ years of experience in a software engineering discipline
• Experience with full stack application development
• Experience working with both monolithic and microservices architectures
• Experience with CI/CD pipelines
• Experience debugging performance issues and improving application performance

Team Tech Stack:

• Python
• Django REST Framework, Django, fastAPI
• React, React Query
• MySQL / postgreSQL
• DocumentDB
• Clickhouse
• JSON Forms
• Redis
• Memcached
• RabbitMQ / Celery / Apache Pulsar

Preferred Skills:

• Experience working with Service Oriented Architecture (preferably in Python)
• Experience working with RESTful applications/APIs/gRPC

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Team Overview:

The mission of the Asynchronous Processing team is to design, build, and operate Klaviyo’s high-scale, event-driven backbone so that every product team can reliably move data through our systems with confidence, no matter the volume. By providing opinionated, self-service platforms for queueing and background processing–grounded in technologies like Golang, Python, Apache Pulsar, Kafka, SQS, AWS, and Kubernetes–we enable engineering teams to focus on customer impact while we ensure their workloads are fast, observable, cost-efficient, and resilient by default.

As a Senior Platform Engineer on the Asynchronous Processing team, you will architect, build, and operate the large-scale, event-driven backbone that powers Klaviyo, crafting paved-path primitives on top of Golang, Python, Apache Pulsar, Kafka, and SQS running in AWS and Kubernetes. You’ll design and evolve resilient, multi-tenant queueing and processing platforms that safely handle massive spikes in traffic, process millions of messages per second with low latency, and provide simple, self-service APIs and tooling that enable product teams to move fast and with confidence. From core data models and routing patterns to observability, autoscaling, and failure isolation, you’ll own systems that must be rock solid at scale, partnering closely with engineers across the company to turn complex distributed-systems problems into intuitive, reliable building blocks.

This role is for senior engineers who love taming large-scale distributed systems and turning real-world asynchronous workloads into reliable, scalable platforms. You’ll work on highly visible infrastructure at the heart of Klaviyo’s event-driven backbone, directly shaping how thousands of Klaviyos build, ship, and operate products every day.

How You’ll Make an Impact:

The Asynchronous Processing team builds and operates Klaviyo’s high-scale, event-driven backbone that powers reliable, low-latency async workloads for every product team. As a Senior Platform Engineer on the Asynchronous Processing team, you will:

• Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams.
• Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services.
• Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing.
• Leverage technology such as Python, Golang, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka. 
• Champion best practices by actively collaborating with other teams in a culture that values technical design review.
• Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming.
• Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.

Who You Are:

• You are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact.
• BA or BS Degree in Computer Science, related field, or equivalent experience.
• You typically bring 6+ years of hands-on software development experience building and operating highly available, full-stack SaaS products at scale, or have demonstrated equivalent proficiency and impact.
• You are independently responsible for the full lifecycle of complex projects or features, including discovery, technical design, implementation, rollout, and ongoing maintenance. You provide clear technical direction for others involved.
• You own the operational health of the systems you build, including performance, reliability, and observability. You are comfortable defining and upholding SLOs, participating in on-call, and driving follow-through on incidents and RCAs.
• Familiarity with cloud infrastructure (AWS preferred), infrastructure-as-code (Terraform), and containerized environments (Kubernetes), including how to design services that run reliably at scale in those environments.
• Expertise and hands-on experience with asynchronous processing and queueing systems like SQS, Kafka, or Apache Pulsar.
• Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
• You question convention and proactively look for ways to improve, whether that’s workflows, architecture, tooling, or team processes. You are intrinsically motivated to drive incremental and step-change improvements that deliver value to the business.
• You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs.
• You mentor and support other engineers, offering thoughtful feedback in design and code reviews, helping refine specifications, and investing in the growth of more junior engineers on the team.
• You enjoy working on small, autonomous, agile teams, shipping early and often, pairing with product managers, business stakeholders, and other engineers to craft better software.

Nice to Have:

• Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems.
• Practical experience building high availability systems at scale with Apache Pulsar.

Technologies We Use:

Klaviyo’s platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:

• Python / Django / FastAPI / GoLang
• Protobuf
• Apache Pulsar / Apache Kafka / SQS
• AWS / Terraform / Kubernetes / Argo / Istio / Kong

Location & Work Model:

This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position.

At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds.

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

About the team:

Klaviyo’s global corporate Information Technology (IT) team is responsible for providing technology systems, administration, and support to Klaviyos around the world. Our main goal is to ensure that Klaviyos everywhere have a strong technology foundation to do great work. The IT Team solves problems using technology and provides Klaviyo’s continued scalability and sustainable employee growth in a rapidly evolving environment.

The IT Systems team is primarily responsible for SaaS systems administration and end-to-end lifecycle management, building automation, and engineering solutions for both other internal teams and the business. The IT Systems team is highly collaborative, working closely with the IT Searchbar team — our end-user support team — as well as with our Security, Risk, and Trust teams and the broader Engineering department. 

About the role:

As a Lead IT Systems Engineer on the IT Systems team, you will lead the design, implementation, and maintenance of our enterprise SaaS systems. You will spearhead projects that range from SSO/SCIM implementations to complex multi-tool integrations and automations, with a focus on scalability and efficiency. You'll collaborate closely with operations, engineering, and the IT Searchbar team to ensure seamless system performance and act as a technical escalation point for system-related issues. 

How you’ll have an impact

• You’ll mentor team members to grow and develop in their careers and help increase their scope and impact throughout their tenure at Klaviyo. 
• Both give and receive meaningful feedback focusing on empathy, curiosity, and investment in growth.
• Establish team standards, implement frameworks for intake and prioritization of projects and tasks, and establish and monitor objectives and key results (OKRs).
• Partner with the stakeholders to build, maintain, and improve tooling/infrastructure and documentation that helps meet the business needs for today and the future.
• Collaborate with IT and internal teams to automate and improve workflows, implement and enhance escalation processes, and drive IT initiatives.
• Implement new processes, and evaluate and improve existing processes.

Must-Haves (Non-Negotiables):

• A minimum of five years' experience in systems engineering within fast-paced and result-driven environments.
• Proven track record of defining problem statements, managing technical projects, collaborating with stakeholders, and delivering impactful results.
• Extensive experience in Identity Access Management (IAM), including IdP configuration, management, and maintenance (Okta or Azure experience is preferred).
• Strong experience working with enterprise-scale networking topics, including routing, DNS, and building and maintaining multiple global office networks and VPNs.
• Demonstrated proficiency in understanding and integrating Large Language Models (LLMs) or other AI technologies into enterprise systems for automation or process improvement.
• Deep technical knowledge in at least one additional domain: corporate security, endpoint management (Jamf, Intune, or equivalent), cloud infrastructure (GCP, AWS, or Azure), or enterprise SaaS administration(Atlassian,Google Workspace,etc).
• Strong experience in automating workflows and repetitive tasks using scripting (Bash, Powershell, or Python). Python is preferred, and AWS Lambda function experience is a plus. Familiarity with infrastructure-as-code tools (Terraform or Ansible) is a bonus.
• Knowledgeable in vendor management and IT budget management.
• Participation in an after-hours on-call rotation with the IT Systems team is required for site specific or business blocking issues.

Nice-to-Haves:

• IAM & Automation: Design and implement automated security, specializing in Okta Workflows (or similar) for user lifecycle and access/auditing.
• Systems Engineering (High-Growth): Experienced in managing/scaling critical infrastructure in agile, fast-paced SaaS/tech environments; champions security and scalability.
• API Integration: Build custom tools and leverage APIs (RESTful, OAuth 2.0/OpenID Connect) for secure, automated integration of corporate systems.
• Cloud Security (AWS/GCP): Deep, hands-on experience securing and managing AWS and GCP core infrastructure, including:
• Networking/Compute: VPC, EC2, Security Groups/Firewalls, ACLs.
• IAM: Defining and managing least-privilege roles (user, group, service).

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

Available Location: New England (MA, CT)

What you'll do as a Senior Solutions Engineer

The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. 

You are a customer facing technologist within the Cloudflare Solutions Engineering team. You have experience in working in a pre-sales or other technical customer facing role supporting large enterprise accounts or acquiring new enterprise customers, as well as excellent verbal and written communication skills suited to explain the benefits of Cloudflare products and services to existing and potential customers. In this role, you will be responsible for partnering with the sales team to understand customer requirements and provide sales support, prepare and deliver technical presentations and demos explaining the benefits of Cloudflare products to existing and potential customers, and run proof of concept trials for customers.

Customer Engagement & Solution Mapping

• Identifying customer initiatives and business challenges, and subsequently mapping them to appropriate Cloudflare solutions.
• Building technical champions and strong relationships within customer accounts.
• Leading demonstration and proof-of-concept activities for both prospects and customers.
• Developing and presenting customer presentations tailored for all organizational levels within an Enterprise Customer's organization.

Expertise & Evangelism

• Demonstrating and sharing Cloudflare expertise with peers through the creation of professional content, including white papers, blog posts, and other knowledge-sharing activities.
• Representing and evangelizing Cloudflare externally with thought leadership and expertise at Developer, Community, Technology, Cybersecurity, and Industry-focused events.
• Applying in-depth vertical knowledge or domain expertise to advise on best practices.

Required Qualifications:

• Bachelor's Degree or equivalent relevant work experience.
• Minimum 5 years pre-sales experience.
• Proven experience in a customer-facing technical role, such as Solutions Engineer, with exposure to CDN, Security, Networking, or SaaS technologies.
• Solid written, verbal, and presentation communication skills.
• Demonstrated ability to manage multiple projects and activities concurrently.
• Highly motivated, curious, and collaborative team player who works with a sense of urgency.

Travel Requirement:

• The position requires up to 50% travel for attending meetings with prospects or customers, participating in conferences and industry events, and collaborating with Cloudflare colleagues.

Examples of more desirable skills, knowledge and experience:

• Networking & Application Architecture: Strong grasp of fundamental customer network and application designs, including detailed knowledge of the user-to-application workflow in hybrid environments (Azure, AWS, GCP).
• Security: Understanding, knowledge, or experience with application and network security.
• SaaS & Remote Access: Familiarity with SaaS application environments and challenges related to VPN/remote access.
• Monitoring & Analytics: Experience or knowledge of SIEM and log analytics platforms.
• Client Management: Foundational knowledge of client OS and software distribution.
• Executive Communication: Demonstrated ability to interact with and communicate messages of network and security transformation to senior-level staff and executives.
• Networking Expertise: Strong understanding of routing, subnetting, split tunnels, SD-WAN, and local internet breakout.
• Security Risks: Familiarity with common end-user and application security threats, including DDoS, malware, phishing, and viruses.
• Market Knowledge: Awareness of the competitive landscape, particularly concerning CDN providers and internet security technologies.

Bonus Points

• Education: While graduate-level degrees in Computer Science, Engineering, or related fields are noted, this is not a strict requirement. We welcome candidates from all backgrounds.
• Certifications: Relevant certifications such as Azure/AWS/GCP Architect are a plus.

Compensation
Compensation may be adjusted depending on work location. 
This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $234,000 - $292,000

Equity
This role is eligible to participate in Cloudflare’s equity plan.

Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Position Summary

We are seeking a skilled Machine Learning Engineer with approximately three years of hands-on experience designing, deploying, and maintaining production-grade machine learning systems. In this role, you will collaborate closely with data scientists, software engineers, and product teams to translate research models into reliable, scalable, and high-impact applications. You will be deeply involved in the end-to-end ML lifecycle—from data ingestion and feature engineering to deployment, monitoring, and continuous improvement—playing a critical part in shaping our machine learning platform and capabilities.

Primary Responsibilities

• Develop, deploy, and optimize machine learning models for real-world business use cases and client-facing applications.
• Partner with data scientists to operationalize predictive models and ensure scalable, maintainable, and performant production deployments.
• Design and implement data pipelines and workflows that support training, inference, and model lifecycle management.
• Work with large, complex datasets to ensure data quality, reproducibility, and reliable version control across ML workflows.
• Implement model monitoring, logging, and alerting strategies to track performance, detect drift, and support retraining cycles.
• Leverage cloud platforms (AWS, Azure, GCP) to build scalable ML solutions using managed services and infrastructure-as-code practices.
• Write clean, modular, and well-documented code aligned with MLOps and software engineering best practices.
• Stay current on emerging ML tooling, frameworks, and industry best practices to continuously enhance our platform and capabilities.

Qualifications

• Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• 6+ years of experience in machine learning engineering, applied ML, or related software engineering roles.
• Strong proficiency in Python and experience with modern ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with distributed data processing and compute frameworks (e.g., Pandas, Spark, Dask).
• Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines, testing automation, and version control using Git.
• Experience working with cloud-based ML platforms or services (e.g., SageMaker, Vertex AI, Databricks, or Snowflake ML) is preferred.
• Strong understanding of model evaluation, feature engineering, and performance optimization in production contexts.
• Excellent analytical, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.

This is an exempt position. The annualized base pay range for this role is expected to be between $140,000-$180,000.  Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set.  The base pay is just one component of the total compensation package for employees.  Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.

Job Title: Staff Software Engineer (AI) 
Locations: Boston, MA; Houston, TX; (ET preferred)
Reports to: VP, AI Engineering  

A quick snapshot… 
As a Staff Software Engineer, you’ll be a key technical leader responsible for shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions. You’ll lead high-priority projects, set technical directions for teams, and ensure alignment with organizational goals. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while mentoring and elevating others to meet a very high technical bar.   

Why it’s a big deal…  
You’ll be a strategic technical leader to define and drive the technical vision and roadmap for Conga’s AI/GenAI systems, aligning with company objectives and future growth. You’ll have the opportunity to provide architectural leadership for complex, large-scale AI systems, and act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies. You’ll have ownership of high-impact projects, shaping the future of Conga’s products while mentoring engineers, fostering a culture of continuous learning and technical excellence.

Here’s what we’re looking for… 

Related experience. You have 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI. You have a proven track record of designing and deploying scalable, production-grade AI solutions. You’ve led complex technical initiatives that required influencing cross-functional teams while mentoring teammates, navigating change, and creating space for collaboration and growth.  

Technical expertise. You have:  

• Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.  

• Advanced knowledge of AI/ML algorithms, generative models, and LLMs. 

• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices. 

• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL). 

Analytical thinker and creative problem solver. You utilize your expertise to navigate ambiguity and deliver impactful solutions. You’re skilled in identifying creative solutions to unique customer requirements, ensuring our customer issues are resolved in a manner that meets or exceeds their expectations without increasing their costs.   

Strong communication and interpersonal skills. You’re skilled at reading and adapting to different communication styles. You communicate priorities, trade-offs, and goals clearly, that engages and inspires both technical and non-technical stakeholders. 

Education. You’ve completed your Bachelor’s and Master’s degree in Computer Science, Engineering, or a related technical field. Maybe you’ve even gone on to obtain your Ph.D.  

Here’s what will give you an edge… 

Additional expertise. You’ve had the opportunity to lead the development of generative AI solutions, leveraging advanced techniques such as multi-modal models, reinforcement learning, and responsible AI principles. You’ve gained advanced knowledge of GCP technologies such as VertexAI, BigQuery, GKE, and DataFlow. You also have familiarity with agile methodologies and working in a DevOps model. 

Thought Leadership. You’re passionate about the AI/ML space. You’re a thought leader for the AI/ML community, contributing ideas through publications, open-source projects, and/or speaking engagements. 

#LI-BR1

Job Title: Senior Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot… 

As a Senior Software Engineer, you’ll be a key member in a team responsible for the development of scalable, reliable, and innovative AI/GenAI solutions. You’ll contribute to high-priority projects, ensuring maintainable code and producing high-quality, production-ready applications. You’ll operate with a high degree of technical expertise, strategic thinking, effective collaboration across diverse teams, while helping to mentor and elevate others to meet a very high technical bar.    

Why it’s a big deal…   

You will be a key contributor to delivering Conga’s AI roadmap, ensuring solutions meet high quality standards and timelines. You’ll be a core member of the team that will implement complex, large-scale AI systems. You’ll also have the opportunity to work cross-functionally to resolve issues, mentor junior members, and help to foster a culture of continuous learning and technical excellence. All of this adds up to an exciting, challenging, and always interesting place to work, where complex problems are found and solved every day. 

Here's what we’re looking for… 

Related Experience. You have 7+ years of professional software development experience, including 3+ years in AI/ML or GenAI. You have a proven track record of developing and deploying scalable, production-grade AI solutions.  

Technical expertise. You have:   

• Experience in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.   
• Knowledge of AI/ML algorithms, generative models, and LLMs.  
• Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices.  
• Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).  

  Education. A bachelor’s degree in engineering or equivalent. 

 Here’s what will give you an edge… 

Effective communication and interpersonal skills. You’re comfortable initiating and engaging in collaborative discussions. You are skilled at reading and adapting to different communication styles. When you speak, you are clear and concise. Your strong listening skills help to build trust and foster connections with our clients. They also ensure you collect the right information so you can resolve issues most expediently. 

Initiative. You do not wait around for things to happen or for someone to tell you what to do. You are not only proactive about completing your own work, but when you sense the need to introduce a project that will benefit the team or the organization -- even if it’s outside your scope of work -- you put a proposal together, talk to the team about it, and own it. And that also goes back to having an entrepreneurial spirit. 

Passionate Problem Solver. Proactive, self-driven, and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries. Identify and implement best practices for coding as well as development processes and perform as a trusted contributor requiring little to no supervision and demonstrating the ability to meet deadlines, exceed goals, and create benchmarks for success. 

#LI-BR1

Role: Senior Software Engineer 
Reports to: Sr. Manager, Software Engineering 
Location: Houston, TX; Boston, MA; 

A quick snapshot…
As a Senior Software Engineer at Conga, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions.

Why it’s a big deal…
As a Senior Software Engineer, you will play a critical role in shaping the future of Conga’s AI-powered product portfolio. You’ll lead the development of scalable, production-grade solutions that bring generative AI capabilities to life, while influencing architecture, engineering best practices, and delivery execution. Your work will directly impact product innovation, platform reliability, and the ability of our teams to build intelligent, high-performing solutions at scale.

Are you the person we’re looking for?   

Related experience.

At least 6 years of professional software development experience, including significant experience building AI/ML or generative AI applications. Demonstrated success developing scalable, production-grade software solutions and leading complex technical initiatives from design through deployment.

Technical Expertise:

• Advanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks
• Deep understanding of software design patterns, object-oriented programming, and concurrency
• Strong experience with cloud technologies such as GCP, AWS, or Azure
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Knowledge of generative AI frameworks such as LangChain and LangGraph, along with MLOps and AI lifecycle management
• Experience deploying and monitoring AI models in cloud environments
• Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred

Education: A bachelor’s degree in Computer Science, Engineering or equivalent 

Here’s what will give you an edge… 

• Hands-on experience with advanced machine learning algorithms, including generative models, NLP, and transformers
• Knowledge of industry-standard AI frameworks such as TensorFlow and PyTorch
• Experience with data preprocessing, model evaluation, and AI model optimization
• Proficiency with relational and NoSQL databases such as MongoDB, MSSQL, and PostgreSQL
• Experience with analytics platforms such as BigQuery, Snowflake, or Tableau
• Familiarity with messaging systems such as Kafka
• Experience with test automation tools and CI/CD tooling, including Terraform and GitHub Actions
• Advanced knowledge of GCP technologies such as Vertex AI, BigQuery, GKE, GCS, and Dataflow, particularly for deploying AI models at scale 

Responsibilities:

• Design, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability
• Lead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization
• Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance
• Take ownership of architecture and technical decisions for AI/ML projects
• Mentor junior engineers, review code for adherence to best practices, and promote technical excellence across the team
• Lead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers
• Proactively identify and mitigate risks to support successful, on-time delivery
• Contribute to architectural design and planning for new features, ensuring solutions are scalable, reliable, and maintainable
• Conduct rigorous code reviews and provide actionable feedback that supports team growth and software quality
• Design and implement robust test suites to ensure code quality and system reliability
• Advocate for test automation and CI/CD pipelines to streamline testing and maintain service health
• Monitor and maintain the health of deployed services using telemetry and performance indicators
• Perform root cause analysis for incidents and drive preventive measures to improve system reliability
• Operate in a DevOps model, taking end-to-end ownership of features and services in production
• Create and maintain thorough documentation for code, processes, and technical decisions
• Contribute to knowledge sharing and continuous improvement across the engineering organization

#LI-BR1

Job Title: Software Engineer
Locations: Houston, TX; Boston, MA  
Reports to: Manager, Software Engineering 

 A quick snapshot…
We are seeking a talented and motivated Software Engineer to join our engineering team and contribute to the development of next-generation AI and Generative AI–powered products and solutions. In this role, you will work on cutting-edge SaaS technologies and help build scalable software used by enterprises worldwide. You will contribute to the design, development, testing, deployment, and maintenance of software systems while collaborating with cross-functional teams to deliver reliable and innovative product capabilities.

Why it’s a big deal…  
As a Software Engineer, you will contribute to the development of Conga’s AI-powered platform by helping build scalable applications and services that support intelligent automation and advanced analytics for global customers. 

Here's what we’re looking for… 

Related Experience. 

Software Development. Write clean, maintainable, and efficient code for software applications and distributed systems while adhering to engineering best practices.

GenAI Product Development. Participate in the AI development lifecycle including data preparation, model experimentation, evaluation, and deployment of generative AI solutions.

Technical Contribution. Collaborate with engineering teams to develop and enhance software features that meet performance, scalability, and reliability requirements.

Feature Delivery. Work closely with product managers and engineering teams to deliver features and improvements on schedule while maintaining high quality standards.

Architectural Participation. Contribute to technical design discussions and architecture reviews to ensure solutions are scalable, reliable, and maintainable.

Code Review. Participate in peer code reviews and maintain a high standard of technical quality across the engineering team.

Testing & Quality. Develop testable software, write unit tests, and participate in automated testing processes using modern testing tools and frameworks.

Service Health & Reliability. Monitor service performance and assist in troubleshooting issues. Participate in root cause analysis and improvements to enhance system reliability.

DevOps Collaboration. Work within a DevOps model to help deploy, monitor, and maintain applications in production environments.

Documentation. Document features, enhancements, and fixes while contributing to knowledge sharing and internal documentation.

Education. A bachelor’s degree in engineering or equivalent. 

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• 4+ years of professional software development experience
• Strong proficiency in Python and modern Python frameworks
• Experience with FastAPI, PyTest, Celery, or similar technologies
• Familiarity with software development practices, version control systems such as GitHub, and work tracking tools such as JIRA
• Understanding of cloud technologies and DevOps principles

Here’s what will give you an edge… 

• Experience with object-oriented programming, concurrency, and REST APIs
• Familiarity with AI/ML, Generative AI, and MLOps concepts
• Experience with LangChain, LangGraph, or similar AI frameworks
• Experience working with SQL and NoSQL databases such as MongoDB, MSSQL, or PostgreSQL
• Experience with CI/CD pipelines and tools such as Terraform and GitHub Actions
• Experience with Docker and Kubernetes
• Familiarity with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow
• Experience with additional languages such as C#, Java, or Scala is a plus

#LI-BR1

Data is at the heart of every decision at Klaviyo. Our Analytics Engineering team sits within a hub-and-spoke model, partnering closely with Go-To-Market (GTM), Product, Engineering, and Business Intelligence teams to build scalable, trusted data systems. You’ll work at the intersection of business and engineering, owning core data models, enabling self-service analytics, and ensuring our data ecosystem is reliable, scalable, and compliant.

About the Role

We’re looking for a Senior Analytics Engineer to own end-to-end data pipelines and modeling across GTM (Sales) and Product domains. You’ll build and maintain the source of truth for operational and product data, enabling leadership, analysts, and product teams to answer complex questions with confidence. This role combines deep technical execution with high-impact business partnership, requiring you to translate ambiguous needs into scalable data products. You will operate as a trusted, embedded partner to stakeholders while leveraging the broader Data Engineering organization’s standards, tooling, and best practices. You’ll help build the foundation that powers everything from forecasting and compensation to product insights and experimentation. 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’ll Make a Difference

• Own and deliver end-to-end data pipelines and models that power Sales and Product analytics
• Build curated, governed data marts that enable fast, reliable decision-making
• Design dimensional data models (dbt) for core entities such as accounts, pipeline, performance, and product usage
• Partner with Sales, Product, and Analytics teams to create holistic views of the customer and product lifecycle
• Raise the bar on data quality, testing, monitoring, and documentation
• Enable reverse ETL workflows to operationalize insights into business systems
• Act as a data ambassador across Product, Engineering, BI, and Legal, ensuring alignment on data contracts and governance
• Lead and mentor others through design reviews, best practices, and technical guidance
• Evolve internal tooling and infrastructure to improve developer and analyst productivity

What You’ll Do

• Data Modeling & Pipelines: Build and maintain production-grade dbt models in Snowflake
• Integrations & Ingestion: Own ingestion from systems like Salesforce, ERP, and product data sources
• Reverse ETL: Push high-value data models into downstream tools and workflows
• Data Quality & Governance: Implement testing frameworks, monitoring, and documentation to ensure trust and compliance
• Cross-Functional Partnership: Work closely with Sales Ops, Product Managers, Engineering, Finance, and GTM teams
• Repository Stewardship: Maintain dbt codebase, enforce best practices, and ensure scalability
• Tooling & Infrastructure: Contribute to Airflow, Terraform, AWS, and other platform tools as needed

Who You Are

• 5+ years of experience in analytics or data engineering in a modern data stack (Snowflake, BigQuery, or Redshift)
• Strong expertise in SQL and dbt, with a focus on building scalable, production-grade data models
• Proficiency in Python (or similar) for orchestration or tooling
• Experience owning end-to-end data workflows, from ingestion to business impact
• Ability to translate ambiguous business needs into structured data solutions
• Strong communication skills with the ability to partner with non-technical stakeholders
• Experience implementing data testing, monitoring, and governance frameworks
• Proven ability to lead cross-functional projects with minimal guidance

Nice to Have

• Experience with Sales Operations, compensation, or GTM analytics
• Familiarity with reverse ETL tools and workflows
• Experience with Airflow, Fivetran, Workato, or similar tools
• AWS experience (S3, EC2, Lambda) and infrastructure-as-code (Terraform)
• Exposure to experimentation frameworks or product analytics systems
• Experience with data privacy controls (masking, role-based access, compliance)

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 careers.klaviyo.com to see how we empower creators to own their own destiny.

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