Pylon

Software Engineer, Product

Pylon2 weeks ago
Location

San Francisco

Type

Full Time

Salary

USD 180,000 – 250,000

Level

Mid

Role

Full Stack Engineer

Posted

Jul 9, 2026

Full TimeMid

The role

Summary

Pylon is seeking a Product Software Engineer to build AI-powered features for their B2B post-sales support platform serving 1500+ companies including Linear and Modal Labs. You'll own features end-to-end in a full-stack capacity, collaborate with senior engineers from Samsara, Affinity, Airbnb, and Meta, and have high autonomy to ship fast in an in-person SF environment. The role requires 3+ years of full-stack development experience, strong product sense, startup navigation expertise, and ideally familiarity with React, Golang, GraphQL, and AWS.

What you'll do

End-to-End Feature Development: Design, build, and ship product features that enable post-sales teams (support and customer success) to operate more efficiently using AI-powered workflows. Take complete ownership of features from conception through production deployment, making technical decisions aligned with customer requirements and business objectives.
Full-Stack Implementation: Develop both frontend and backend components of the Pylon platform using React, Golang, GraphQL, and AWS infrastructure. Write clean, maintainable code that scales across multiple channels and integrations supporting 1500+ enterprise customers.
Rapid Prototyping and Iteration: Build prototypes quickly, gather customer feedback, and iterate fast based on product learnings. Work in a non-waterfall, agile environment where shipping velocity and learning velocity are prioritized, leveraging AI tools for accelerated development.
Collaborative Engineering: Partner with product managers, designers, and engineers to translate ambiguous requirements into technical specifications. Participate in design reviews, code reviews, and architectural discussions with a senior engineering team from top-tier companies like Samsara, Affinity, and Meta.
Project Autonomy and Management: Manage your own workstreams independently with high autonomy to make technical decisions. Navigate ambiguity in startup environments, scope work appropriately, and juggle multiple concurrent projects while maintaining code quality and team communication.
AI Integration and Agentic Systems: Incorporate conversational AI and intelligent automation into product features. Build systems that leverage layered intelligence to help customers run post-sales operations in real-time, including experience with agentic products in production environments.
Technical Problem Solving: Address complex technical challenges in building a large-scale B2B SaaS platform serving enterprise customers. Contribute to architectural decisions, performance optimization, and system reliability while supporting rapid product iteration.

What we look for

Technical

Full-Stack DevelopmentDemonstrated strong fundamentals across both frontend and backend software development with ability to ship complete features end-to-end without requiring specialized backend or frontend support.
ReactProduction experience building component-driven UI systems with React, including state management, hooks, and modern frontend architecture patterns for complex applications.
GolangBackend development experience with Golang for building scalable, performant services and APIs in production environments serving enterprise-scale customer bases.
GraphQLExperience designing and implementing GraphQL APIs for efficient data fetching, including schema design, resolver implementation, and optimization techniques for complex query patterns.
AWS Cloud InfrastructurePractical experience deploying and managing applications on AWS, including services like RDS, EC2, Lambda, S3, and understanding cloud-native architecture patterns.
AI/ML Tool ProficiencyProficiency leveraging modern AI and machine learning tools for software development, including code generation, debugging assistance, and architectural decision support.
Database DesignUnderstanding of relational and NoSQL database design, query optimization, and ability to make appropriate technology choices for different data persistence scenarios.

Education

Computer Science or Related FieldBachelor's degree in Computer Science, Software Engineering, Mathematics, or equivalent professional software engineering experience demonstrating strong computer science fundamentals.

Experience

3+ Years Product EngineeringMinimum 3+ years of professional experience building product features in software engineering roles, demonstrating ability to balance velocity, quality, and customer impact.
Startup Environment NavigationPrevious experience working at startups or scale-ups, demonstrating comfort navigating ambiguous requirements, rapidly changing priorities, wearing multiple hats, and thriving in fast-paced environments.
Cross-Functional CollaborationProven ability to work effectively with product managers, designers, and engineers, translating business requirements into technical decisions and managing communication across functional areas.
Agentic AI Systems (Preferred)Experience building production agentic products or AI-driven features that operate autonomously, including LLM integration, prompt engineering, and handling complex multi-step workflows.

Skills

Required skills

Full-Stack Web DevelopmentEnd-to-end capability to develop complete features including frontend UI, backend APIs, and database layers without specialized support.
ReactAdvanced proficiency building complex, production-grade React applications with state management, component composition, and modern frontend patterns.
GolangStrong backend programming skills in Golang for building concurrent, efficient services and APIs at scale.
GraphQLHands-on experience implementing GraphQL schemas, resolvers, and API optimization for frontend-backend integration.
AWSPractical cloud infrastructure experience deploying, monitoring, and scaling applications on Amazon Web Services.
Product SenseAbility to understand customer pain points, translate requirements into technical implementation, and make trade-off decisions that balance customer value and engineering feasibility.
Startup MindsetComfort with ambiguity, rapid iteration, ownership mentality, and ability to prioritize shipping over perfection while maintaining code quality standards.
Collaborative CommunicationStrong interpersonal skills for working effectively across product, design, and engineering teams in a highly collaborative, non-hierarchical environment.

Nice to have

Agentic AI ProductsProduction experience building agentic systems, autonomous workflows, and LLM-integrated applications that operate with minimal human intervention.
Conversational AIExperience building features leveraging conversational data, natural language processing, or dialogue systems for customer communication platforms.
B2B SaaSPrior experience at B2B SaaS companies, particularly in support, success, or communication platforms serving enterprise customers.
TypeScriptFull-stack type-safe development experience using TypeScript across frontend and backend, improving code reliability and developer experience.
System DesignExperience designing scalable systems, making architectural decisions, and considering trade-offs between performance, maintainability, and reliability at scale.
Performance OptimizationTrack record of identifying and optimizing performance bottlenecks in web applications, APIs, and database queries serving high-volume traffic.
Testing and Code QualityProficiency writing comprehensive tests, maintaining high code coverage, and establishing quality standards that scale as team and codebase grow.

Compensation & benefits

Salary

USD 180,000 – 250,000 (annual)

Stock options

Available

Benefits

Unlimited Paid Time Off

Flexible PTO policy with 14 additional company holidays, enabling you to manage work-life balance and recharge while maintaining productivity during peak periods.

Parental Leave

Comprehensive parental leave benefits supporting work-life transitions during significant life events.

Commuter Benefits

Transportation subsidies for commuting to Pylon's San Francisco office, reducing personal cost of living expenses for team members.

Office Meals

Complimentary lunch, dinner, and snacks provided daily at the office, removing decision friction around meals and supporting focus on engineering work.

Fitness Stipend

Health and wellness budget for gym memberships, fitness classes, or wellness activities supporting physical and mental health.

Annual Company Offsite

Regular offsite meetings fostering team bonding, strategic planning, and culture building across the engineering and broader Pylon team.

Stock Options

Equity compensation aligning personal wealth creation with company success, providing long-term upside participation in Pylon's growth trajectory.

Comprehensive Benefits Package

Health insurance, dental, vision, and additional benefits supporting financial security and well-being for you and dependents.

Interview process

  1. 1
    Initial Screening Call — Introductory conversation with a recruiter to discuss your background, experience, and alignment with Pylon's culture and engineering values. Expect discussion of your startup experience, product sense, and technical foundation.
  2. 2
    Technical Phone Screen — Conversation with a senior engineer to assess full-stack technical capabilities, system design thinking, and problem-solving approach. May include discussion of past projects, technical decision-making, and architecture choices.
  3. 3
    Take-Home Technical Assignment — Practical coding challenge or project assignment to evaluate your ability to write production-quality code, your development process, and how you approach iterating on feedback. Typically spans 2-4 hours and may involve both frontend and backend components.
  4. 4
    Engineering Onsite Interview — Full-day in-person interview at Pylon's San Francisco office with multiple senior engineers from backgrounds at Samsara, Affinity, Airbnb, and Meta. Sessions include technical depth interviews, product sense discussion, architectural problem-solving, and team fit evaluation.
  5. 5
    Product and Leadership Alignment — Conversations with product managers and potentially engineering leadership to assess product sense, communication style, ability to work cross-functionally, and cultural fit within Pylon's collaborative environment.
  6. 6
    Offer and Reference Checks — Upon successful completion of interview loop, reference checks conducted before final offer extended. Opportunity to discuss compensation, equity, and benefits alignment.
Apply for this position

You'll be redirected to the company's application page

Pylon

Pylon

View all jobs

Pylon is a platform that helps businesses automate and optimize their customer communication and support operations. The company provides tools for managing customer interactions across multiple channels, enabling organizations to streamline workflows, improve response times, and enhance customer satisfaction. Pylon serves businesses of various sizes looking to modernize their customer engagement infrastructure and gain better visibility into their support operations.

San Francisco, USAFounded 2022usepylon.com

Tech Stack

Languages
ReactGolangTypeScriptJavaScript/ES6+
Frameworks
GraphQLReact HooksREST APIs
Databases
PostgreSQLRedisElasticsearch
Tools
AWSDockerGit/GitHubFigma
Other
AI/ML IntegrationReal-Time SystemsAgentic WorkflowsWebhook/Integration Architecture
Apply Now

On this page