Design and build production systems across our TypeScript stack, increasingly directing AI agents to handle implementation while owning the architecture, correctness, and quality of what ships.
Compensation
The base salary for this role is $130,000–$170,000.
Responsibilities
Build and extend the AI infrastructure behind Carly and Ava, including prompt engineering, context management, agent orchestration, and reliable AI system integration
Own outcomes across TypeScript backend services and APIs, writing production code
Design, build, and maintain scalable services within the TypeScript monorepo
Model data, design schemas, and optimize queries in PostgreSQL
Integrate with external systems including HRIS platforms, ticketing systems, and third-party APIs
Lead a high‑performing backend engineering team, design and ship scalable digital products, and mentor engineers across Scout Motors.
Compensation
Initial base salary range = $180,000.00 - $220,000.00
Responsibilities
Lead and mentor a team of software engineers
Design, code, deploy and operate technical architecture and systems
Drive development of digital solutions for order management, customer management, marketing, production, inventory, loyalty, servicing, mobile app, vehicle connectivity
Collaborate with product, design and cross‑functional partners to define roadmaps and trade‑offs
Recommend and evaluate tools and technology decisions
Requirements
Bachelor's or master's degree in computer science or related field
Senior Fullstack Software Engineer to guide the evolution of Roblox’s web infrastructure and build compelling experiences for users.
Compensation
$243,290—$295,250 USD
Responsibilities
Design, build, and maintain highly scalable, reliable, and performant web applications using React and Next.js.
Own the core web architecture, build systems, and CI/CD pipelines to ensure a world-class developer experience for product teams.
Drive the full product lifecycle in close collaboration with product, design, and data science teams, transforming complex requirements into high-performance, polished features.
Lead systematic improvements to our web development processes and architecture.
Champion best practices for writing clean, maintainable, and well-documented code.
Requirements
Bachelor’s or Master’s degree in Computer Science or equivalent professional experience
Lead martech development workstreams, manage project planning, design, code, test, and maintain applications, and coach teams within PwC’s Internal Firm Services practice.
Compensation
The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000.
Responsibilities
Leading martech development workstreams that support content enablement, client experience initiatives, and internal marketing technology solutions
Managing project planning, budgeting, timelines, and delivery for software development efforts across web, mobile, and platform-based tools
Designing, coding, testing, and maintaining applications using programming languages, frameworks, and automation tools
Reviewing technical requirements, translating functional needs into solution designs, and validating alignment with business objectives
Applying API management, application integration, and microservices concepts to build connected and scalable technology solutions
Senior Forward Deployed Engineer responsible for designing, deploying, and supporting AI solutions for enterprise customers, collaborating with product and engineering teams to improve platform reliability and scalability.
As a Staff Innovation Engineer, you'll flex across architecting core systems, taking new product ideas from concept to pilot, and improving products already in the hands of customers on the Marketplace team.
Compensation
Built’s salary range for this position is $180,000-$240,000 USD per year.
Responsibilities
Design and build durable, reusable services using fine-grained microservices and asynchronous workflow orchestration (e.g., Temporal)
Partner directly with customers to scope a problem and ship a working version of a new marketplace product within about 30 days
Focus on quality, craftsmanship, and driving adoption and usage for launched products
Build and refine agent harnesses and layered prompting systems using LLMs (Claude, Gemini, OpenAI) and document-extraction tooling (AWS Textract, GCP Document AI)
Partner with product, design, sales, and the General Manager to understand customer problems and give input on pricing, GTM, and scale/pivot/kill calls
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor’s degree in Computer Science or a related technical field
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor's in Computer Science
Nice to have: Deploying or supporting Generative AI, LLM, or Machine Learning applications in production
Nice to have: Experience with Kubernetes, cloud infrastructure, observability, or MLOps
Nice to have: Experience building customer-facing technical solutions or integrations
Nice to have: Experience creating reusable developer tools, frameworks, or open-source contributions
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