Narvar is Growing! We’re building Navi — Narvar’s agentic AI that automates post-purchase resolution for the world’s leading retailers. Hundreds of millions of consumers interact with Narvar every year. Navi is our agentic AI that resolves delivery issues, returns, and refunds through natural conversation — powered by IRIS and 74 billion consumer touchpoints. 

We're looking for senior AI engineers to own this system end-to-end: architecture, model selection, production operations. You'll help decide what gets built and how.

Day-to-day

• Design and build conversational AI agents for returns, claims, and customer service experiences
• Own agent systems from architecture → implementation → evaluation → production operations
• Build RAG / context graph retrieval pipelines that ground agent responses in real company and customer data
• Design agent orchestration for multi-step workflows that interact with identity, risk, order, and loyalty systems
• Create evaluation frameworks to measure task completion, accuracy, safety, and user satisfaction
• Implement guardrails and safety mechanisms — content moderation, hallucination detection, graceful fallbacks
• Integrate conversational experiences across web, mobile, SMS, and email channels
• Make real decisions around prompt design, model selection, latency/cost/quality tradeoffs, and failure modes
• Collaborate with product, design, and ML teams to build systems that are technically sound and product-aware

What We’re Looking For

We care more about judgment and ownership than credentials.

You’re likely a strong fit if you:

• Have shipped conversational AI or agent-based systems used by real users in production
• Have built production systems on top of LLM APIs and agent frameworks — not just prompt playgrounds, but real integrations involving tool orchestration, context management, and reliability at scale
• Have a point of view on model selection tradeoffs — when to use frontier APIs vs. open-weight models (Qwen, Llama, Mistral), and understand the cost, latency, privacy, and capability tradeoffs of each
• Understand prompt engineering beyond basics: structured outputs, few-shot learning, chain-of-thought, tool calling
• Have built context graph pipelines that go beyond naive retrieval — entity resolution, relationship modeling, and dynamic context assembly from structured and unstructured data
• Have designed agent architectures that use function calling, tool execution, or multi-step reasoning
• Have strong programming skills in Python or TypeScript
• Have experience building and integrating APIs and backend services
• Are comfortable reasoning about evaluation, safety, and reliability in non-deterministic systems
• Take initiative naturally and are comfortable operating with ambiguity

Bonus points

These aren’t hard requirements, but strong indicators:

• You’ve worked in startup or high-ownership environments
• You’ve built and operated AI systems in production, including monitoring and incident response
• You’ve evaluated and iterated on LLM systems for accuracy, hallucination, latency, and cost
• You’ve built or integrated MCP servers or similar tool-use infrastructure
• You’ve influenced technical direction by earning trust, not by mandate
• You use modern tooling (including AI-assisted development workflows) to increase leverage, not outsource thinking

(Note: we care about outcome and judgment, not how flashy your tools are.)

Why AI at Narvar?

Because post-purchase is one of the highest-leverage applications of conversational AI.

We’re building AI agents where:

• The problem space is well-defined but complex — returns, claims, and support have clear business logic but messy real-world edge cases
• Scale is real — hundreds of millions of consumer interactions per year across major global retailers
• Impact is measurable — resolution rates, customer satisfaction, cost savings, not vanity metrics
• The work is greenfield — you’re not maintaining a legacy chatbot, you’re building the next generation

You’ll help define where and how AI agents should operate, not just implement someone else’s spec.

Why Narvar ( from an Engineer's perspective?)

• Real scale, real customers, real consequences
• Startup-level ownership with platform-level impact
• Teams that value thinking, judgment, and responsibility
• Low ego, high trust, and room to do your best work

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote

Narvar is growing! We are hiring a Senior Software Engineer II to build new products and improve all aspects of the Narvar platform. Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users.

Machine Learning Engineers at Narvar work across the stack. We are ‘full-stack’ ML Engineers. This means that we write production-level code and own machine learning operations for our teams. 

Day-to-day

• Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products
• Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc
• Work with large unstructured data
• Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work
• Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use 
• Provide thought leadership to a team through high quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view

What we’re looking for

• Strong machine learning skills. 
• Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages
• Data Engineering skills and large data experience. You should have dealt with large amounts of data (TB) in a production setting, built world class data pipelines using cutting edge tools (e.g. Spark).
• 10+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc)
• MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience
• Strong software engineering and coding skills with the ability to write production quality code
• Strong understanding of probability & statistics, machine learning, and algorithms
• Experience with SQL and NoSQL databases
• Experience working with Linux, shell scripting
• Previous startup experience strongly preferred

Bonus Points

• Experience implementing applications on Google Cloud Platform
• Experience with deep generative models or graph learning a plus.
• Tag your application with your solution to an active / recently concluded Kaggle competition, to get ahead of the list :)
• Experience leading a team of data and data scientists; Strong ability to multiply the effect of the team and the team members; excellent written communication; self-starter that can balance sophistication with practicality 

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote

Narvar is growing! We’re building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers. When a shopper tracks a package, initiates a return, or gets a delivery notification through one of our 1,500+ brand partners, our data systems are doing the work behind the scenes. We’re looking for a Senior Data Engineer to own and evolve the pipelines, platforms, and data products that power Narvar’s analytics, ML, and merchant-facing products.

You’ll work across the full stack of our data infrastructure, from ingestion and transformation to the analytics surfaces our merchants use every day. You’ll make architectural decisions, ship production systems at scale, and we expect you to work in an AI-native way, using agentic coding tools to increase your leverage and ship faster.

Day-to-day

• Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery
• Own end-to-end data models and transformations that power merchant analytics, operational reporting, and ML features
• Build and maintain embedded analytics infrastructure — the data products our merchants interact with directly
• Evolve our data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreams
• Improve data quality and reliability through testing, observability, alerting, and validation frameworks
• Own data lineage, metadata, and documentation, and help prepare our data layer for agentic and LLM-powered use cases with semantic clarity and standardized metric definitions
• Collaborate cross-functionally with product, ML, and GTM teams, and contribute to technical direction through design docs and architecture decisions

What We’re Looking For

We care about judgment and ownership over credentials.

You’re likely a strong fit if you:

• Have 5–8 years of experience building and operating production data systems
• Have strong SQL skills and are proficient in Python, with flexibility to pick up other languages as needed. Comfortable building and maintaining APIs.
• Have worked with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well), including cloud data warehouses like BigQuery, ELT patterns, and orchestration with Airflow
• Understand data modeling deeply — dimensional modeling, slowly changing dimensions, incremental processing
• Treat data quality, lineage, and observability as first-class engineering concerns
• Communicate clearly with technical and non-technical stakeholders and are comfortable working cross-functionally
• Already use AI and agentic coding tools as a core part of how you work for planning, code generation, debugging, and code review.

Signals That You’ll Thrive Here

These aren’t hard requirements, but strong indicators:

• You’ve worked in startup or high-ownership environments where you wore multiple hats
• You’ve built or maintained embedded analytics or multi-tenant data products
• You’re excited about making data accessible to AI systems, whether that’s through better metadata, semantic layers, or preparing datasets for agentic workflows
• You care about cost optimization and data governance

Why Data Engineering at Narvar?

Because post-purchase is one of the most data-rich and underserved problem spaces in e-commerce.

We process 10+ billion consumer interactions across 1,500+ retailers, 38 countries, and 55 languages. That data spans tracking, returns, claims, notifications, and customer care. Most data engineering roles have you building pipelines for internal dashboards. Here, the data products you build are the product — merchants make decisions from the analytics we surface, and our agentic AI (Navi) reasons over the data layer you help shape. We’re at an inflection point, investing in embedded merchant analytics and LLM-readiness. You’ll get startup-level ownership with platform-level impact, on a team that values thinking, judgment, and responsibility.

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote

Narvar is Growing! We are looking for a Staff Software Engineer to build new product features that delight our customers. You will play a key role in guiding the future of our web application at Narvar by partnering with a cross-functional team including Engineers, Designers, Product Managers, and engineering leadership. You will lead process improvements that increase the velocity of the team, accelerating product development. As a Staff Engineer you will build a strong product-minded engineering culture by mentoring and guiding all levels of engineers. 

Day-to-day

• Own the architecture of new product platforms to drive business results and support extending existing ones.
• Implement scalable architecture and work on a committed team contributing to robust projects
• Write high-quality code that is modular, extendible and functional.
• Advocate for best patterns and practices in the area of system design, coding, performance, and testing.
• Developing a highly concurrent and distributed system.
• Defining and developing architecture models and roadmaps of application and software components to meet business and technical requirements, driving common usability across products and domains
• Work with cross-functional stakeholders including Product, Design, Sales, and Engineering Leadership to help break down business requirements into actionable plans
• Mentoring junior engineers on design, coding, and troubleshooting.

What we're looking for

• BS/MS in computer science, engineering, or equivalent experience
• You have 10+ years of experience as a software engineer working on distributed systems
• Numerous years of hands-on experience in architecture, design and development of enterprise applications, integrations & data infrastructure
• You have experience designing, developing, debugging, and operating resilient distributed systems
• You have experience with managing large, complex systems in the cloud
• You have proven track record in delivering efficient, scalable, reliable and maintainable customer facing systems on time
• You are not afraid to take initiative and help make an impact on the larger organization
• You have solid organizational and communication skills, the ability to prioritize tasks and keep projects on schedule
• Deep hands-on expertise in one or more of the following server-side languages: Java, Python, Go, Scala, Rust
• Extensive experience designing, building, and integrating with RESTful APIs
• Experience designing and scaling relational and NoSQL database platforms (such as MySQL, Postgres, Cassandra, DynamoDB, MongoDB, Redis, Elasticache)
• Experience with cloud computing platforms like AWS or GCP
• Experience building high volume, high performance, and highly available SaaS or consumer-facing products
• Previous startup experience strongly preferred

Bonus Points

• You have demonstrated experience managing, delivering and owning the services end-to-end
• You have solid track record engaging and collaborating across the organization in different locations
• You have led the technical architecture of maintainable and scalable applications and data systems

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote

Narvar is growing! We are looking for Fullstack Software Engineers that enjoy working on both APIs and UIs. In this role, you will build products that power the post-purchase experience for the biggest brands in the retail industry. As a Fullstack Software Engineer, you will have a direct impact on our customer-facing products and work with modern technologies like Java, NodeJS, Python, React, and GraphQL to ship complex features that drive millions of views.

Day-to-day

Frontend Development (Primary Focus)

• Implement new product features & support/ extend existing ones
• Build frontend platform components leveraged across our internal, external products and ecommerce storefronts like Shopify, Salesforce etc
• Contribute to our overall architecture and maintain code quality standards by partnering with other senior engineers
• Work with product and design teams to translate wireframes and mockups into functional UI components

Backend Development (Secondary Focus)

• Contribute to development and maintenance of backend services using Golang, Node.js
• Understanding of google cloud platform (GCP) , CI/CD and be able to deploy code and infrastructure components
• Work with databases like postgres, spanner, bigquery
• Understand and implement RESTful or GraphQL APIs

What we're looking for

• You have a BS/MS in computer science, information systems, or equivalent
• You have 10+ years of experience building reliable, scalable, and high-quality systems
• Experience in building consumer facing applications with a frontend framework(s), such as React (preferable), Svelte Angular, Vue or Ember
• Experience building well-designed software with NodeJS or Golang
• Experience developing consumer facing applications consuming various APIs from a microservice backend system
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of full development life cycle and computer science fundamentals
• Strong focus on code quality and code reviews
• Experience with mentoring other engineers
• Previous startup experience strongly preferred with growth and product engineering mindset

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote

Narvar is Growing! We are looking for Senior Software Engineers that focus on Distributed Systems. In this role, you will build products that power the post-purchase experience for the biggest brands in the retail industry. As a Distributed Systems Software Engineer, you will help us drive decisions on how best to scale and extend our platform and own reliability and scalability KPIs.

Note that we are hiring for these roles across multiple products and platform teams.

Day-to-day

• Work in a group of motivated engineers and help the members of your team grow technically
• Get inspired and influenced by your team and embrace modern engineering practices that will enable you to frequently release high-quality services
• Work with the team to design, estimate, develop and launch new products & features
• Resolve complex technical issues and drive innovations that improve system availability, resilience, and performance

What we're looking for

• BS/MS in computer science, engineering, or equivalent experience
• You have 7+ years of experience as a software engineer working on distributed systems
• Numerous years of hands-on experience in architecture, design and development of enterprise applications, integrations & data infrastructure
• You have experience designing, developing, debugging, and operating resilient distributed systems
• You have experience with managing large, complex systems in the cloud
• You have proven track record in delivering efficient, scalable, reliable and maintainable customer facing systems on time
• You are not afraid to take initiative and help make an impact on the larger organization
• You have solid organizational and communication skills, the ability to prioritize tasks and keep projects on schedule
• Deep hands-on expertise in one or more of the following server-side languages: Java, Python, Go, Scala, Rust
• Extensive experience designing, building, and integrating with RESTful APIs
• Experience designing and scaling relational and NoSQL database platforms (such as MySQL, Postgres, Cassandra, DynamoDB, MongoDB, Redis, Elasticache)
• Experience with cloud computing platforms like AWS or GCP
• Experience building high volume, high performance, and highly available SaaS or consumer-facing products
• Previous startup experience strongly preferred

Bonus Points

• You have demonstrated experience managing, delivering and owning the services end-to-end
• You have solid track record engaging and collaborating across the organization in different locations
• You have led the technical architecture of maintainable and scalable applications and data systems

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Sonos, Nike, and 1500+ other brands. With hubs in San Francisco, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote

Narvar is growing! We are looking for Senior Software Engineers that enjoy working on both APIs and UIs. In this role, you will build products that power the post-purchase experience for the biggest brands in the retail industry. As a Fullstack Software Engineer, you will have a direct impact on our customer-facing products and work with modern technologies like NodeJS, React, PostgreSQL and GraphQL to ship complex features that drive millions of views.

Day-to-day

• Implement new product features & support/ extend existing ones
• Build REST and GraphQL APIs that support a high volume of traffic
• Build frontend platform components leveraged across our internal and external products
• Contribute to our overall architecture and development experience partnering with other senior engineers

What we're looking for

• You have a BS/MS in computer science, information systems, or equivalent
• You have 7+ years of experience building reliable, scalable, and high-quality systems
• Experience with a frontend framework(s), such as React, Svelte Angular, Vue or Ember
• Experience building well-designed software with NodeJS, React and PostgreSQL
• Experience developing consumer facing applications consuming various APIs from a microservice backend system
• Experience defining REST or GraphQL APIs for new features
• Knowledge of full development life cycle and computer science fundamentals
• Experience with mentoring other engineers
• Previous startup experience strongly preferred
• Proficiency in utilising AI tools like Claude, Cursor, Copilot etc

Bonus point

• Experience working with Java, SpringBoot or Golang knowledge is a plus point

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-PR1

#LI-Hybrid

We’re introducing Rust where correctness, performance, and reliability truly matter.

Narvar is Growing! Narvar is a multi-language platform, and we’re intentional about where we apply Rust. We’re looking for senior engineers to help us bring Rust into the backbone of the system — the parts that must be fast, safe, and correct under real-world scale.

This role is for engineers who want agency: people who enjoy identifying the right problems, choosing the right tools, and owning systems end-to-end. You won’t be handed a narrow ticket queue. You’ll help decide what gets built and how it should be built.

Day-to-day

• Design and build high-correctness Rust services that sit on critical platform paths
• Introduce Rust into areas where safety, determinism, and performance are essential
• Own systems from architecture → implementation → rollout → operations
• Make real decisions around concurrency, async boundaries, data integrity, and failure modes
• Work across service boundaries in a polyglot environment (Rust alongside other stacks)
• Collaborate with product, design, and frontend engineers to build systems that are technically sound and product-aware
• Improve reliability, observability, and system behavior through design, not just patching
• Mentor other engineers and raise the bar on system quality and ownership

What We’re Looking For

We care more about judgment and ownership than credentials.

You’re likely a strong fit if you:

• Have built and operated distributed systems in production
• Have deep hands-on Rust experience (not just experiments or side projects)
• Understand where Rust shines — and where it doesn’t
• Are comfortable reasoning about concurrency, async systems, and correctness guarantees
• Have experience designing APIs and data contracts that evolve safely over time
• Have worked with relational and/or NoSQL databases at scale
• Have deployed and operated services in AWS or GCP (We are a GCP Shop though!)
• Take initiative naturally and are comfortable operating with ambiguity
• Communicate clearly and make tradeoffs explicit

Bonus Points

These aren’t hard requirements, but strong indicators:

• You’ve worked in startup or high-ownership environments
• You’ve owned systems in production, including on-call responsibility
• You’re comfortable moving across the stack when needed (backend-first, full-stack aware)
• You’ve influenced architecture by earning trust, not by mandate
• You use modern tooling (including AI-assisted workflows) to increase leverage, not outsource thinking

(Note: we care about outcome and judgment, not how flashy your tools are.)

Why Rust at Narvar?

Because some parts of the system deserve stronger guarantees.

We use Rust where:

• Bugs are expensive
• Latency and throughput matter
• Safety and correctness are non-negotiable

You’ll help define where Rust belongs, not just write Rust in isolation.

Why Narvar (From an Engineer’s Perspective)?

• Real scale, real customers, real impacts
• Startup-level ownership with platform-level impact
• Teams that value thinking, judgment, and responsibility

Low ego, high trust, and room to do your best work

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-BB1

#LI-Remote