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The Conversation Jobs (NOW HIRING)

Checkr

AI Conversation Designer

Denver, CO · On-site

About the team/role We are seeking a skilled and detail-oriented AI Conversation Designer to join our Service Design team. This role is central to managing and optimizing our conversational AI agents ...

Checkr

AI Conversation Designer

Denver, CO · On-site

$90K - $112K/yr

About the team/role We are seeking a skilled and detail-oriented AI Conversation Designer to join our Service Design team. This role is central to managing and optimizing our conversational AI agents ...

Bjak Sdn Bhd

Conversation Designer, HCI

New York, NY · On-site

The system must handle multi-step reasoning, interact with external tools, and remain reliable ... Design conversational flows for AI interactions across chat, task completion, and assistant-guided ...

Samprasoft

Technical Business Analyst

In this role you will be responsible for aligning the business needs and technical solutions with a focus on defining and documenting data interfaces, injecting technical logic into conversation ...

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How much do the conversation jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for the conversation in the United States is $60.28, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $71.15 per hour, depending on experience, location, and employer.

What are some common challenges faced by editors at The Conversation and how can they be addressed?

Editors at The Conversation often face the challenge of balancing academic rigor with accessibility for a general audience. This involves translating complex research into clear, engaging language without oversimplifying the content. Additionally, editors work under tight deadlines and must coordinate with both academics and newsroom staff, requiring strong communication and project management skills. Building relationships with contributors and maintaining editorial standards are key to overcoming these challenges and producing high-quality articles.

What is the difference between The Conversation vs Content Writer?

AspectThe ConversationContent Writer
Required credentialsTypically advanced degrees or expertise in a specific fieldVaries; often a degree in journalism, communications, or related field
Work environmentAcademic, research, or media organizationsCorporate, media, marketing agencies, or freelance
Employer and industry usageUniversities, think tanks, media outletsBusinesses, marketing firms, online platforms
Search and comparison intentUnderstanding differences in content creation and expertiseLooking for writing roles focused on marketing or online content

The Conversation primarily involves producing expert-driven, research-based articles often used in academic or media settings. Content Writers focus on creating engaging, SEO-optimized content for marketing, blogs, or online platforms. While both roles involve writing, The Conversation emphasizes expertise and research, whereas Content Writers prioritize audience engagement and marketing goals.

What are the key skills and qualifications needed to thrive as a Conversation Designer, and why are they important?

To thrive as a Conversation Designer, you need a solid grasp of linguistics, user experience (UX) design, and content strategy, often supported by a background in communications or human-computer interaction. Familiarity with conversational AI platforms (like Dialogflow or IBM Watson), prototyping tools, and analytics systems is essential. Excellent written communication, empathy, and creative problem-solving are vital soft skills for crafting engaging and effective user interactions. These skills ensure that conversational interfaces are intuitive, user-centric, and capable of delivering meaningful digital experiences.

What is The Conversation and what does it do?

The Conversation is an independent, nonprofit media outlet that publishes news and analysis articles written by academics and researchers. Its mission is to provide the public with evidence-based information and informed commentary on current events and research developments. The platform collaborates with experts from universities and research institutions to ensure content is accurate, accessible, and free from commercial or political bias.
What cities are hiring for The Conversation jobs? Cities with the most The Conversation job openings:
What states have the most The Conversation jobs? States with the most job openings for The Conversation jobs include:
What job categories do people searching The Conversation jobs look for? The top searched job categories for The Conversation jobs are:
The Conversation jobs near you
Infographic showing various The Conversation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $125,374 per year, or $60.3 per hour.
Conversational AI Engineer, System Prompt

Conversational AI Engineer, System Prompt

Known

San Francisco, CA • On-site

Full-time

Posted 27 days ago

Job description

Known - Conversational AI Engineer, System Prompt and Orchestration
  • San Francisco, CA (In-Person)

Known is a matchmaker that talks to users and supports them like a friend. Our mission is to empower humanity by applying general intelligence to human connection.
Users join Known by telling us their life story. On average, our new users talk to our AI voice agent for 27 minutes, giving us a uniquely intimate multi-modal data set.
We are a team of engineers who've created some of the most widely used AI-driven consumer products including Uber Eats, Uber, Faire and Afterpay.
We love to work hard, with a high degree of autonomy and ownership. We work together in Cow Hollow, San Francisco.
About the Role
We're looking for founding Conversational AI Engineers to build the prompt systems powering our voice-led onboarding and user experiences.
This is a unique opportunity to work with a hyper-personalized data-set, combining voice transcripts, images, and structured user data to empower real-time, personalized AI voice-led conversations at scale. You'll work directly with Chen Peng, former head of ML at Uber Eats and Faire.
What You'll Do
  • Prompt Orchestration & Context Optimization: Architecting the core system prompts and managing context windows to ensure highly responsive, contextually relevant, and logically sound AI reasoning without bloating token counts or causing latency spikes.
  • EQ & Semantic Memory: Building prompt systems that allow Known to maintain a consistent, empathetic, and uniquely "Known" personality. You'll design mechanisms to seamlessly weave long-term user memories and preferences into real-time dialogue, while helping the user drive the conversation.
  • Conversational Intelligence: Designing advanced prompt chains (and fallback logic) to gracefully handle conversational tangents, user interruptions, semantic end-of-turn conversation logic,, and complex emotional states so Known feels empathetic and responsive.
  • Agentic Workflow Design: Implementing and maintaining the prompt-driven logic for multi-agent frameworks, where your system instructions act as the routing engine between the user, external APIs, and our internal matchmaking engine.
  • Evals for Conversational Quality: Developing custom evaluation frameworks to measure "conversational success." You'll go beyond basic fact-checking to rigorously assess conversational dynamism, warmth, engagement, and hallucination reduction.

Requirements
We're looking for someone who can make automated systems feel undeniably natural:
  • 2-3 Years in Conversational AI/NLP: Proven experience designing, testing, and deploying complex LLM applications and system prompts in high-traffic production environments.
  • The Prompt Stack: Deep familiarity with state-of-the-art prompt engineering techniques (e.g., Few-Shot, Chain-of-Thought, ReAct).
  • Agentic & RAG Architectures: Experience building the "brain" logic for LLMs using frameworks like LangGraph, LlamaIndex, or Haystack to manage complex, non-linear dialogue and dynamic knowledge retrieval.
  • Production Hardened: You treat prompts as an engineering problem. You've optimized prompt systems for scale, API cost, and speed. You're comfortable with prompt version control, programmatic prompt optimization (e.g., DSPy), and building continuous integration pipelines for AI evals.
Our Investors
We're backed by Eurie Kim and Kirsten Green at Forerunner Ventures (the investors behind Decagon, Faire, and Oura), NFX and PearVC.
Learn more
  • Known
  • Our Launch
  • Known's 10M Seed | TechCrunch
  • "You Don't Need to Swipe Right" - Known | NYT
  • Known | FastCompany
  • Website

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