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Assistant Ai Agent Jobs in Bothell, WA (NOW HIRING)

Senior Product Manager, AI

Seattle, WA · On-site

$144K - $190K/yr

The Brex Assistant The Brex Assistant is an AI agent that acts as an executive assistant for every employee - handling the expense, spend, and travel busywork they'd otherwise do by hand, and meeting ...

Senior Staff ML Engineer

Seattle, WA

$118K - $163K/yr

Examples include AI agent orchestration, conversational AI solutions, knowledge assistants, process assistance and automation, etc. * Collaborate with cross-functional teams, including data ...

... agent reliability and safety in production on AgentCore * Stay current with the rapidly evolving agentic AI landscape (AI coding assistants, AgentCore, MCP ecosystem) and proactively bring new ...

Architects and evolve AI agent systems for model architecture research and development, including model, feature authoring agents and ML development ecosystem assistants * Lead development of ...

AI Agentic Engineer

Seattle, WA · On-site +1

$60 - $82.25/hr

Monitor agent performance, impact, and coverage-driving continuous improvement and expansion of ... Ability to design and implement Conversational AI chatbots and virtual assistants to deliver ...

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Assistant Ai Agent information

See Bothell, WA salary details

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How much do assistant ai agent jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for assistant ai agent in Bothell, WA is $22.74, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $25.82 per hour, depending on experience, location, and employer.

What is an assistant AI agent?

An Assistant AI Agent is a computer program or software system designed to help users perform tasks, answer questions, or automate processes using artificial intelligence. These agents can interact with users through text, voice, or other interfaces, making tasks like scheduling, data retrieval, or customer support more efficient. Assistant AI Agents are commonly found in smartphones, smart speakers, websites, and business applications, where they can provide quick and accurate support. Their capabilities continue to grow as advancements in AI and machine learning improve their understanding and responsiveness.

What are the key skills and qualifications needed to thrive as an assistant AI agent, and why are they important?

To thrive as an Assistant AI Agent, you need strong analytical thinking, natural language understanding, and a background in computer science, data science, or a related field. Familiarity with AI tools, machine learning frameworks, and conversational platforms such as Python, TensorFlow, or Dialogflow is typically required. Excellent communication skills, problem-solving abilities, and adaptability help an AI Agent provide effective support and improve user interactions. These skills ensure the agent can interpret user needs accurately, deliver reliable assistance, and continuously enhance its performance.

What are some common challenges faced by assistant AI agents in supporting teams, and how can these be addressed?

Assistant AI Agents often encounter challenges such as managing high volumes of requests, adapting to evolving user needs, and ensuring accurate, context-aware responses. To address these, it’s important to continuously learn from real-time interactions, leverage feedback from team members, and stay updated on organizational processes. Collaborating closely with human colleagues and regularly reviewing performance can help improve the quality and relevance of assistance provided.

What is the difference between Assistant Ai Agent vs Customer Support Specialist?

AspectAssistant Ai AgentCustomer Support Specialist
Required CredentialsBasic technical knowledge, AI familiarityCustomer service training, communication skills
Work EnvironmentChatbots, AI platforms, digital interfacesCall centers, help desks, in-person or remote
Employer & Industry UsageTech companies, AI service providersRetail, telecom, service industries
Common Search & Comparison IntentUnderstanding AI roles, automation toolsCustomer service roles, support skills

The Assistant Ai Agent primarily focuses on interacting via AI-driven platforms, utilizing technical knowledge of AI systems. In contrast, Customer Support Specialists handle direct customer interactions, providing assistance through various communication channels. While both roles aim to improve customer experience, the Assistant Ai Agent emphasizes automation and AI technology, whereas Customer Support Specialists focus on human interaction and problem-solving.

How can I become an assistant AI agent?

To become an assistant AI agent, candidates typically need a background in computer science, artificial intelligence, or related fields, along with skills in programming languages such as Python and experience with AI frameworks like TensorFlow or PyTorch. Knowledge of natural language processing and machine learning concepts is also important, and some roles may require certifications or training in AI development. Strong problem-solving skills and the ability to work with AI tools are essential for success in this role.

What are the most commonly searched types of Ai Agent jobs in Bothell, WA?

The most popular types of Ai Agent jobs in Bothell, WA are:

What job categories do people searching Assistant Ai Agent jobs in Bothell, WA look for?

The top searched job categories for Assistant Ai Agent jobs in Bothell, WA are:

Infographic showing various Assistant Ai Agent job openings in Bothell, WA as of June 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $47,300 per year, or $22.7 per hour.

Senior Product Manager, AI

Brex

Seattle, WA • On-site

$144K - $190K/yr

Full-time

Re-posted 7 days ago


Job description

Why join us

Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. We combine corporate cards, banking, spend management, bill pay, and travel into one AI-native platform - trusted by companies like DoorDash, Coinbase, Anthropic, OpenAI, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.

Working at Brex lets you push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and an inclusive culture, and we believe your potential should only be limited by how big you can dream.

Following Capital One's acquisition of Brex, AI is one of our biggest areas of investment - with real backing and stability behind the bet.

Product at Brex

The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams - such as Engineering, Legal, Compliance, and Design - on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential.

The Brex Assistant

The Brex Assistant is an AI agent that acts as an executive assistant for every employee - handling the expense, spend, and travel busywork they'd otherwise do by hand, and meeting them where they already are, in chat and over SMS. No app to open, no form to fill; the agent understands what you need and takes real actions on your behalf, in a conversation.

The vision is broad: nearly anything an employee or manager does around their spend, the Assistant can help with. Swipe your card and it reaches out to document the charge - moving it to the right spend limit, drafting a memo from your calendar, pulling in attendees, checking your policy, and requesting the receipt. Beyond that, it files reimbursements, answers spend and policy questions, helps with Brex travel (from booking to sorting out issues that come up mid-trip), and chases the expense follow-ups that normally pile up. It's one of the most agentic products at Brex: the experience leads with conversation rather than screens and forms, so the agent has to genuinely understand what you need and take the right actions - not just point you to where you could do it yourself.

The card is at the center of how Brex works, so an assistant that strips the friction out of every swipe is one of the company's highest-leverage bets. For most employees, the card plus this agent can become the only part of Brex they ever touch.

It's an early-stage product with real momentum: no one has a finished playbook for building reliable, action-taking agents in the financial space - the right evals, the right feedback loops, the right way to keep an agent trustworthy as models and tooling shift underneath you. You'll invent much of that, with the ownership and pace of a startup and the backing of an established company behind you.

What you'll do

You'll own the Brex Assistant end to end - a product that can touch every Brex cardholder, yours to shape top to bottom. You'll set the product direction and strategy, decide which capabilities to build and how they should behave, and talk to users constantly to figure out what will actually help them. From there you go as deep as it takes to make it real - shaping the agent's behavior, writing and iterating prompts, designing the evals that prove it works, and digging into traces when it breaks. You'll partner closely with engineering, design, and research, and you'll set the quality bar for an agent that real people trust with real money.

Where you'll work

This role will be based in either our San Francisco, Seattle, or New York City office. You must be willing to work in the office at least 3 days per week on Monday, Wednesday, and Thursday. Remote work is allowed up to 4 weeks per year, in increments of at least one week.

Responsibilities

  • Own product direction for the Brex Assistant - the strategy, the roadmap, and the day-to-day calls on what ships.
  • Define agent capabilities that take real actions for users, and translate messy real-world expense and spend workflows into reliable agent behaviors.
  • Invent the "how": design the evals, prompting approaches, and feedback loops that make the agent dependable - and re-invent them as the underlying models and tooling shift.
  • Get hands-on. Prototype, measure, read transcripts, and iterate quickly toward what actually works rather than what looks good in a demo.
  • Talk to users constantly, and let real usage - not assumptions - drive the next iteration.
  • Set and defend a high quality bar for an agent operating in a trust-critical, financial context.

Requirements

  • You're an experienced product manager (5-7 years of relevant experience). You have a track record of owning complex, user-facing products end to end - setting direction and shipping to real users - with the scope and judgment this senior role calls for.
  • You've built AI products for other people. You've shipped LLM/agent features to real users and have genuine, hands-on depth in prompting, eval design, and iterating against measurement - not just using AI tools in your own day-to-day.
  • You thrive in ambiguity. You do your best work when the goal is clear but the path isn't - you find the approach, ship, measure, and refine. You've owned something early-stage or taken a problem area and run with it on your own initiative (as a founder, an early operator, or an early or only PM on a surface), working closely with engineering and design rather than in isolation.
  • Strong product taste and judgment about what's worth shipping to customers and what isn't.
  • You move fast and go deep - comfortable prototyping, reading data, and getting into the details rather than working through layers.

Nice to have: experience building conversational, chat-native, or SMS-based products; familiarity with fintech, expense management, or spend workflows.

Compensation

The expected salary range for this role is $184,000 - $230,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.