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.
Build and modernize large‑scale build, deployment, and change‑management systems for Apple’s cloud services, integrating AI to automate risk assessment, incident triage, and developer support.
Responsibilities
Design and implement scalable backend services for build and deployment pipelines
Modernize legacy tooling and standardize containerized deployment workflows
Develop agentic AI systems for risk assessment and incident triage
Integrate with microservices, messaging systems, and AI/ML frameworks
Collaborate with cross‑functional engineering teams to improve developer experience
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
Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems.
Compensation
For roles located in the US, the estimated salary range for this position is $133,300.00 to $ 213,400.00 USD per year, which may include potential sales incentive payments (if applicable).
Responsibilities
Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions.
Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines.
Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements.
Contribute to project estimation, considering delivery costs and escalating issues that may cause delays.
Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices.
Build and lead data platform services for Shield AI’s AI Factory, designing APIs, dataset versioning, search, and metadata systems to support machine‑learning workflows.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Design and implement data APIs and catalog services
Integrate LanceDB for indexing and search
Create APIs for dataset versioning and access control
Track data provenance and changes
Design schema validation, compatibility, and migration mechanisms
Design and build internal infrastructure that powers the customer-facing product, including shared APIs, services, and infrastructure for accounts, access, messaging, payments, and data hosting.
Responsibilities
Design and develop shared services and APIs
Maintain databases and infrastructure reliability
Improve build, test, and deployment processes
Own deployment, monitoring, debugging, and reliability
Collaborate with product and engineering teammates to translate requirements into reliable systems
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