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Job responsibilities
What will you do?
As a Backend Engineer on the team you will
Develop our product and its unique features, working closely with our Product team.
Own the development cycle end-to-end: product grooming, technical design, implementation, vibe-engineering and testing, deployment, and monitoring.
Operate in a true continuous delivery environment with fully automated QA processes, deploying to production dozens of times every day.

Job responsibilities
Design, build, and maintain backend infrastructure and microservices supporting AI-driven features.
Collaborate closely with the infra and data groups to ensure smooth integration of AI models and services into Bobs core systems.
Develop and optimize APIs, data pipelines, and background processing workflows.
Ensure performance, scalability, and resilience of production systems handling real-time AI interactions.
Drive engineering excellence through code reviews, architecture discussions, and automation.
Mentor other backend developers and promote best practices in software design, testing, and deployment.

The AI Group is building the foundation for AI across our company.
We develop the AI infrastructure that powers the AI experience throughout the product. We ensure the production AI platform is stable, reliable and secure.
Our mission is not only to build AI-powered features, but to enable every product team at our company to build reliable, scalable, and high-quality AI experiences.
We work with modern LLM technologies, agentic workflows, MCP, retrieval systems, evaluation pipelines, distributed systems, and production-grade AI infrastructure, deploying to production multiple times a day.
Job responsibilities
What You'll Do
As a Tech Lead, you'll play a key role in shaping the future of AI at our company.
You'll combine deep technical expertise with strategic thinking, helping multiple teams build production-ready AI experiences while driving engineering excellence across the organization.
In this role you will:
Lead the technical direction of one of our company's AI domains.
Design scalable AI architectures and production-ready agentic systems.
Drive technical decisions around LLMs, Retrieval, Tool Calling, MCP, evaluation frameworks, and AI infrastructure.
Own complex cross-team initiatives from design through production.
Collaborate closely with Product, Data, Infrastructure, and Engineering teams to turn AI opportunities into customer value.
Help define engineering standards and best practices for building reliable AI systems.
Drive engineering excellence through architecture reviews, mentoring, and technical leadership.
Balance rapid experimentation with production-grade quality and scalability.
Evaluate emerging AI technologies and identify opportunities to improve our platform and customer experience.

We are looking for a senior product manager to join our AI Unit and help shape the AI platform that powers our companys next generation of products.
This role focuses on the platform and ecosystem layer of AI, building the capabilities, standards, and systems that enable teams across the company to create AI-powered experiences effectively.
You will work closely with engineering, data, and product teams to define how AI capabilities are built, reused, and governed across the platform.
This is a high-impact role with broad scope. It requires strong product fundamentals, technical curiosity, and the ability to operate in an evolving space.
Job responsibilities
Own key parts of the AI platform roadmap, balancing foundational investments with product impact
Help define reusable AI capabilities (e.g., retrieval, embeddings, scoring, agent tooling)
Contribute to shaping how we evaluate, monitor, and improve AI systems in production
Partner closely with engineering on architecture and technical tradeoffs Support the definition of governance and control mechanisms (quality, safety, cost, transparency)
Work with product teams to enable adoption of AI capabilities across the platform
Improve developer and product team experience when building AI features
Contribute to defining standards, best practices, and ways of working for AI across our company
What makes this role interesting
You will work on foundational systems that impact multiple product areas
You will help shape how AI is built and used across the entire platform
You will collaborate across teams and influence both product and technical direction
You will operate in a fast-evolving domain with real opportunity to define how things should work.

As an Engineering Team Lead in R&D, you will lead a team of backend and frontend engineers building our companys product.
You will combine technical leadership, people management, and close partnership with Product and Design to deliver meaningful customer value. Your team will own the full development lifecycle, from shaping solutions and technical design through implementation, testing, deployment, and production monitoring.
Job responsibilities
Lead and develop the team - Coach and grow engineers through regular feedback, clear expectations, and meaningful ownership. Support hiring and onboarding, address performance gaps early, and build a collaborative team environment.
Shape product solutions - Partner closely with Product and Design to understand customer needs, challenge assumptions, and shape solutions. Make scope and technical trade-offs explicit to support sound prioritization.
Own delivery from end to end - Turn priorities into clear execution plans and achievable milestones. Manage dependencies, communicate progress and risks proactively, and adapt plans as new information emerges.
Provide technical leadership - Guide architecture, design, and code quality. Stay close to implementation and contribute hands-on where it creates the most value, while empowering engineers to lead.
Own production quality - Build reliability, observability, security, and performance into the development lifecycle. Ensure clear ownership of monitoring, incidents, and follow-up improvements that address root causes.
Collaborate across teams - Work with other Talent Unit teams, Architects, and platform partners to align on shared capabilities, resolve dependencies, and deliver coherent solutions.
Continuously improve how the team works - Simplify processes and solutions, encourage experimentation, and use AI-assisted development thoughtfully to improve effectiveness while maintaining engineering accountability.
Lead through change - Help the team understand priorities and their purpose, create clarity during uncertainty, and maintain trust, focus, and sustainable ways of working.

we are building a scalable data platform that powers our product, analytics, and AI capabilities. Were looking for an Architect to shape the technical direction of the Data Platform group - helping teams make high-quality architectural decisions faster and turning complex, cross-cutting challenges into clear, pragmatic paths forward.
Reporting to the Data Platform Group Director and working alongside Team Leads, youll be the groups senior individual-contributor architect. You will guide architecture across our Data Infrastructure, Data Engine, and Data Framework teams, with particular emphasis on data-intensive application architecture.
Youll stay close to technical design, delivery, and production - not only to define direction, but to ensure it works in practice.
What youll do
Set and evolve the architectural direction for the Data Platform group, balancing long-term platform strategy with pragmatic, executable decisions.
Lead cross-team design reviews and drive alignment on significant technical decisions, including the trade-offs behind them.
Create clear design documents, reference architectures, standards, and reusable patterns that enable teams to make high-quality decisions independently.
Partner with engineers and Team Leads through critical stages of delivery to preserve architectural intent, resolve emerging trade-offs, and ensure designs work in production.
Guide the evolution of data-intensive applications and platform capabilities across data access, query and application frameworks, streaming, storage, reliability, scalability, and security.
Drive incremental modernization of existing systems - including migrations, simplification, and architectural improvements - without compromising customer reliability or delivery momentum.
Build foundations that enable product teams to access and operate on data safely and efficiently, including permission-aware access to sensitive HR data.
Ensure the platform is ready for trusted analytics and AI use cases through robust data contracts, governance, observability, lineage, and secure access patterns.
Identify systemic technical risks, architectural gaps, and recurring friction - and turn them into durable capabilities rather than one-off solutions.
Mentor engineers and raise the bar for technical thinking, system design, and execution across the group.

We are looking for a Senior AI Ops Engineer to join our AIOps team and help build the AI-powered platforms, agents, and workflows that enable engineering teams across our company.
This is a hands-on role for someone who can take AI solutions from idea to production, build the infrastructure around them, and create the observability needed to understand and improve how they behave in the real world.
Job responsibilities
Build and operate production-grade AI agents, AI-enabled tools, and workflows that empower developers and operational teams.
Design agentic systems using frameworks such as LangGraph, LangChain, and Supervisor, including RAG, MCP integrations, tool calling, and guardrails.
Build and evolve an AI SDLC harness that helps teams plan, implement, validate, govern, and safely deliver AI-assisted software changes.
Lead AI observability with Langfuse and OpenTelemetry, including tracing, evaluations, quality measurement, and cost analysis.
Build automated evaluation frameworks, including LLM-as-a-judge, to improve the reliability and quality of AI systems.
Design and maintain the infrastructure, CI/CD pipelines, GitOps workflows, and security controls that support AI services.
Develop internal developer tooling and automation that removes friction across the engineering organization.
Partner with engineering and product teams to turn real operational challenges into scalable AI-powered solutions.