Develop, test, and maintain software components and applications for Audible’s audiobook platform, collaborating with stakeholders to design, develop, test, and launch customer‑centric software.
Compensation
USA, MA, Cambridge - 110,500.00 - 160,000.00 USD annually
Responsibilities
Develop, test, and maintain software components and applications
Identify and resolve software defects through code review, log analysis, metrics examination, debugging, and other troubleshooting methods
Write maintainable and scalable code as part of an agile engineering team
Collaborate with stakeholders to envision, design, develop, test, and launch customer‑centric software
Apply computer science, engineering, and analysis principles to solve moderate‑scale problems
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: Bachelor's degree in computer science or equivalent
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Lead a team of full‑stack and infrastructure engineers to deliver and operate Weave’s enterprise AI observability platform.
Compensation
The base salary range for this role is $182,000.00 - $242,000.00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
Responsibilities
Lead a team making Weave the best AI observability platform for enterprise customers.
Optimize Weave for very large scale ingest volumes and data processing across all major cloud platforms.
Partner with the Sales organization to enable new deals and support existing ones.
Monitor and optimize a large set of single‑tenant deployments, and support customer‑managed deployments.
Establish and enforce SLAs/SLOs for service availability and data readiness.
Requirements
Bachelor's degree in Computer Science or a related field
An early-career role focused on architecting RAG pipelines, scaling vector infrastructure, building semantic layers, and maintaining CI/CD pipelines for data infrastructure.
Compensation
The compensation for this position is $77,000 based on a full-time schedule.
Responsibilities
Architect for RAG: design and scale pipelines for Retrieval-Augmented Generation (RAG)
Scale vector infrastructure: health and performance of vector databases like Pinecone, Milvus, or Weaviate
Engineer semantic layers: build knowledge graphs and semantic layers
Build automated data guardrails to detect noise, bias, or PII
Bridge between raw data sources and deep technical AI work
Requirements
Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
Define and execute the Technical Alliances strategy, turning technology partnerships into differentiated solutions across virtualization, cloud-native platforms, data protection, AI infrastructure, and hybrid cloud ecosystems.
Compensation
California base salary range: $275,000-$350,000 per year.
Responsibilities
Define the business and technical rationale for strategic alliances, prioritising partnerships that fill portfolio gaps and create mutual customer and commercial value.
Assess the existing alliance portfolio in the first 30–60 days, recommend two to three new strategic opportunities.
Personally open doors with senior technology leaders, build executive relationships, and originate partnerships.
Engage early in partner roadmaps and work across Product Management, Engineering, Solutions, GTM and Marketing to deliver integrations, interoperability, certifications, validated designs, reference architectures and joint solutions.
Lead a lean, experienced team; establish the capabilities, development priorities and hiring plan needed to deliver the future strategy.
Google Cloud's software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact with information and one another.
Responsibilities
Drive technical projects and make technical contributions
Coordinate and drive improvements in Knowledge Catalog engineering and operational excellence
Be a coach and technical mentor for a team of Software Engineers
Design and implement features/components to support large scale data sharing and secure/low-trust (clean room) capabilities
Collaborate with EMs/PMs to plan the charter/roadmap for knowledge catalog data products and services
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