# Product Engineer at Clera

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Own end-to-end product features for AI-p

- **Company:** Clera (https://jobs.trythestack.co/companies/clera)
- **Location:** Berlin, Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, FastAPI, TypeScript, React, TanStack, Distributed Systems, Asynchronous Workflows, Event-Driven Workflows, Complex State Management, Real-Time Audio Systems, Voice Infrastructure, Large Language Models, AI Agents, PostgreSQL, Redis, Cloud Infrastructure
- **Posted by employer:** 2026-11-01
- **Added to The Stack:** 2026-11-02
- **Listed until:** 2026-12-31
- **Status:** Active
- **Apply:** https://jobs.ashbyhq.com/Clera/f10b77c7-57e5-484e-ac18-515970863f6a (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/product-engineer-clera-072c76a4

## About the role

Responsibilities:
- Own end-to-end product features for AI-powered voice agents: agent configuration, integrations, shared memory and multi-channel support (calls, messaging, email).
- Build AI assistant capabilities to configure agents, investigate issues, connect external systems, and surface information via natural language.
- Develop and optimise voice agents for speed, reliability and audio quality; extend agents to maintain shared state across channels.
- Design and implement memory and state systems enabling agents to reason across customer workflows.
- Improve observability, tracing and tooling to detect, explain and resolve failed interactions.
- Implement channel-selection logic so agents choose the most suitable communication medium per interaction.
- Collaborate with product, ML and SRE teams; participate in code reviews, deployments and incidents.

Requirements:
- 3+ years professional software engineering with production frontend and backend experience.
- Backend experience in Python/FastAPI or TypeScript and frontend experience with React/TanStack.
- Proven experience with distributed, asynchronous or event-driven systems and complex state management in production.
- Familiarity with real-time audio/voice infrastructure and production use of LLMs or AI/agent systems.
- Experience with PostgreSQL, Redis and cloud platforms (AWS/GCP/Azure); familiarity with workflow tooling (e.g., Temporal) and observability (OpenTelemetry).
- Strong software fundamentals, product sense and a bias for delivering customer-facing outcomes.

## Responsibilities

Build and own end-to-end product features for AI-powered voice agents, including agent configuration, integrations, shared memory, and support for calls, messaging, and email. Improve agent performance, observability, and channel selection to make customer interactions more reliable and effective.

## Requirements

Requires at least three years of professional software engineering experience, including production frontend and backend development and ownership of distributed systems or asynchronous workflows. Candidates should have production experience with relevant backend and frontend technologies, voice or real-time audio systems, AI agents, data stores, and cloud infrastructure, along with strong software fundamentals and product sense.

## FAQ

- **Is this Product Engineer role still open?** It was posted on 2026-11-01 and is listed as active on The Stack. Confirm on Clera's application page before applying.
- **Does Clera offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Clera's site.
- **Where is this role located?** The listing gives the location as Berlin, Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, FastAPI, TypeScript, React, TanStack, Distributed Systems, Asynchronous Workflows, Event-Driven Workflows, Complex State Management, Real-Time Audio Systems, Voice Infrastructure, Large Language Models, AI Agents, PostgreSQL, Redis, Cloud Infrastructure.

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## Notes for agents

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