Senior Product Engineer (Backend)

Owning and shipping AI features

Designing and implementing backend AI services

Lead end-to-end design and delivery of scalable data products.

Identify automation and integration opportunities.

End-to-end delivery and coordination of STT/TTS model versions

Define lightweight processes for enhanced visibility and accountability

Lead and contribute to data engineering infra and pipelines

Manage a team of senior data engineers

Design, build, and maintain backend services

Lead architectural discussions

Define and lead data engineering vision and roadmap

Oversee secure data sharing through data pipelines

Lead and scale infrastructure and core platform domain

Enable AI-first delivery with LLM workloads and data pipelines

Lead design and development of high-impact web applications and Tier-0 services

Ensure resilience and high availability of core services

Lead and mentor a team of engineers

Define roadmap and prioritize tasks

Onboard priority advertisers to Conversions API and pixels.

Support non-priority advertisers via troubleshooting.

Lead technical discovery calls

Guide advertisers through CAPI onboarding

Apply analytics to solve finance & market risk problems

Develop and maintain finance data mart

Build data and AI-powered internal tools for evaluating companies

Develop Meeting Prep Automation and Portfolio Benchmarking tools

Lead and grow an engineering team within the AI platform

Define technical roadmaps aligned with platform goals

Hiring a Remote Data Engineer for Coursedog.

Full-time position can be done anywhere in the US.

Lead a team of Data Engineers and Analytics Engineers

Own and manage data infrastructure and data pipelines

Develop capabilities with enterprise customers and cross-functional teams

Communicate effectively across all levels of the organization

Own data foundations & insights strategy for core products

Partner with data engineering/analytics

Develop and implement data science and ML solutions

Maintain data pipelines with SQL and Snowflake

Lead architecture and design development.

Deliver production-grade data/ML/AI applications.

Hiring a Senior Data Engineer remotely in the United States.

Full-time position at Peerspace specializing in unique venues.

Own funds flow and ledger architecture

Lead cross-functional work with various teams

Drive execution and delivery of product features

Build Integrations team for high-quality integrations

Develop deep understanding of software and customer needs

Translate high-level requirements into detailed user stories

Deliver key product capabilities for Catalog Insights

Design and build data pipelines processing large data volumes

Architect and build a high-performance usage tracking pipeline for billing

Design pricing primitives for per-event usage billing and complex contracts

Design and scale analytical data products for GTM

Partner with GTM Strategy for analytical requirements

Own the AI-powered product strategy and roadmap

Identify automation opportunities tied to user pain and outcomes

Building sophisticated multi-agent systems

Developing scalable large language model platforms

Design and build next-generation risk analysis systems

Develop data pipelines for actionable insights

Lead AI Agent Pilots & Implementations

Understand & Map GTM Workflows

Build and productionize advanced AI systems

Develop large language model platforms

Set technical direction for complex data problems/initiatives.

Maintain and optimize SQL Server-based data warehouse.

Contribute to the development and scaling of core products and engineering systems

Enhance backend infrastructure and scalability

Configure, build, and test AJO journeys.

Implement audiences and decision rules.

Build advanced AI systems powered by LLMs and intelligent agents

Develop sophisticated multi-agent systems for complex workflows

Hiring a remote Data & Analytics Engineer for a full-time position

Position can be done remotely anywhere in the United States

Develop machine learning models for credit decisions

Automate customer service with NLP/LLMs

Design and deploy intelligent AI agents.

Integrate and fine-tune LLMs for specific applications.

Hire a remote Data Scientist

Emphasize MLOps expertise

Connect senior engineers with remote startup projects

Offer competitive compensation for skilled developers

Build and maintain open-source data and ML solutions

Collaborate in distributed, multicultural remote teams

Hire a remote staff data engineer

Build and maintain scalable data platforms

Develop scalable backend integrations

Build new crypto-related features

Build and scale predictive models for Roblox game success.

Develop and maintain robust data infrastructure.

Advance text-to-speech research and technology

Develop scalable data and model management systems

Configure and manage GCP services

Design and deploy scalable data pipelines

Build and maintain scalable data pipelines

Automate workflows using scripting and APIs

Hire a remote Machine Learning Engineer

Develop and deploy foundational models

Develop and maintain data pipelines

Optimize and manage data warehouses