Data Feed GTM Analyst

Design, build, and maintain observability libraries and tools

Troubleshoot production issues for performance and availability

Build and ship AI Physics capabilities

Turn customer simulation data into AI-ready pipelines

Design, develop, and validate automated high-throughput NGS assays

Manage technical projects and timelines

Deliver high-quality solutions independently

Collaborate with customers and stakeholders

Architect scalable data pipelines

Enable real-time dashboards

Lead AI automation across internal operations

Prototyping MVPs using LLM APIs and agents

Partner with Design, Content, and PM to identify data needs and insights.

Collaborate with designers to define metrics and hypotheses for features.

Lead data science projects effectively

Deliver revenue-raising predictive models

Build reliable and scalable Kubernetes platforms and tooling

Improve developer experience with clear docs and self-service tools

Drive strategic decision-making through data insights and process architecture.

Analyze pricing and adoption for effective pricing strategy.

Develop and deploy ML models using NLP and GenAI

Collaborate across teams to refine ML models

Troubleshoot programmable edge issues

Master UI guidance

Own full lifecycle of spacecraft structures

Propose risk-aware alternatives and document associated risks

Lead data science projects and deliver predictive models to drive revenue

Improve understanding of customer value and behaviors

Develop modular test software frameworks for satellite hardware integration.

Integrate hardware and software for CI/CD validation of RAN software.

Define technical vision and architecture for Customer Data Mart

Design data architectures for pipelines

Design and develop agent-driven workflows for finance processes

Build scalable data models and pipelines for analytics

Design, build, and maintain cloud infrastructure with reliability and scalability

Develop internal tooling in Go and Python for workflow optimization

Lead long-term technical direction for product security

Architect and automate security controls in CI/CD and deployment pipelines

Lead architecture of new product platforms

Implement scalable solutions

Design and implement scalable infrastructure

Develop end-to-end data pipelines

Guide junior QA engineers and share best practices

Develop detailed test plans and test cases

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Guide customers through product journey

Build custom demos and prototypes

Propose and execute applied research initiatives in Conversational AI

Analyze and optimize conversational datasets for RAG

Identify and build marketing strategies via data analysis

Create test designs to quantify performance

Develop fast and reliable integrated test systems

Collaborate across teams for end-to-end testing solutions

Exploit large-scale data warehouses with SQL

Create dashboards to monitor KPIs

Lead data-driven product direction for Business Banking

Shape strategy, prioritisation, and success metrics

Lead HR AI and automation initiatives

Design and implement intelligent automation

Design and build fraud detection systems

Collaborate with cross-functional teams

Design and implement automation solutions in HR Ops

Build scalable HR processes with AI-enabled automation

Develop automation strategies and initiatives for HR operations

Implement AI tools to improve efficiency and compliance

Architect and deliver features of AI Platform ecosystem

Leverage AI tools to boost productivity and quality

Hiring a Full Stack Engineer for Stripe's Expansion team.

Work remotely in the United Kingdom on a full-time basis.

Conduct applied research in Conversational AI using LLMs with real-world impact.

Utilize Transformer architecture mechanics for effective prompting and orchestration.

Guide customers through product journey

Lead technical discovery sessions

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Implement AI goals and craft solutions

Guide engineering teams and set standards

Build Zero Trust Segmentation for enhanced security

Enhance container platforms like Kubernetes, Istio, and others

Implementation of AI systems integrating with Rails backend

Building real-time data pipelines and model-serving layers

Design and build Zero Trust Segmentation flow

Improve Kubernetes platforms

Automate GTM operations

Build BI infrastructure

Work with clients on big data challenges

Deliver data engineering and data science projects

Monitor and analyze security alerts

Mitigate threats and document outcomes

Work on solving big data challenges for clients

Deliver data engineering and data science projects

Design and build reference architectures

Guide customers on big data and AI deployments

Design and build reference architectures

Collaborate with engagement managers

Design and implement performance metric frameworks

Collaborate with data engineers

Design and implement containerized microservices in AWS environment

Lead relational DB design with performance optimization