远程工作雷达

资深产品工程师

Staff Product Engineer

开发工程全球可投(远程优先企业)
公司Helpscout
薪资$187,000 - $214,000
工作地点United States
地域资格全球可投(远程优先企业)
时区要求无特别要求
用工类型FullTime
发布时间2026-07-08
数据来源Ashby
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

我们是谁

Help Scout 于 2011 年以一个简单的理念起步:支持软件应该把客户当作人,而不是工单。在经历了超过 30 亿次对话后,超过 10,000 家公司使用 Help Scout 与各类客户建立关系,从客户到患者,乃至更广泛的群体。

现在我们进入了一个新的篇章:不仅构建 AI,让团队有更多空间专注于客户体验,还要重新构想在 AI 原生世界中的运营方式。这意味着更快地交付和学习,同时不牺牲品质。这里的工作有强烈的观点,并且注重细节,无论我们使用什么工具来推动它。

我们从第一天起就是一支完全远程的团队 https://articles.helpscout.com/blog/remote-culture/,目前全球有 120 多名同事。这是一个你将被信任去承担责任、保持好奇心并提升周围工作质量的文化。它伴随着清晰的期望,以及一个会推动你完成职业生涯中最佳工作的团队。

如果你觉得这样的挑战充满能量,我们很期待见到你。

关于这个职位

这个职位位于我们的 Agents 团队——负责构建客户每天使用的 AI 驱动体验的小组。这是大型语言模型不再只是演示,而是成为产品中可靠部分的地方:面向真实客户的快速、可信且真正有用的答案、草稿和辅助功能。

我们正在寻找一位工程师,能够端到端地构建这些功能——从功能背后的检索和代理管道,到支持代理实际接触的精炼、快速、可访问的界面。你将以前端为核心(具备强大的 JavaScript/TypeScript 和真正的前端工艺),同时作为全栈产品工程师,负责整个项目。

我们如何工作

Help Scout 的工程师对他们的工作负全责——从问题定义到生产,从塑造决策的客户信号到告诉你是否成功的仪表板。你是全栈能力者,熟悉客户,对 AI 工具真正快速。你交付整个产品,而不仅仅是你的那一层。

- 我们使用 Kotlin、Java、TypeScript、React 和 PHP 进行开发。

- 我们使用 Elasticsearch、ClickHouse、Kafka、Flink、RabbitMQ、MySQL 和 PostgreSQL —— 以及向量搜索和 LLM 工具来支持我们的 AI 功能。

- 我们大量使用 AWS 生态系统、Slack、GitHub 和 Linear。

- 我们使用 AI 工具 —— Cursor、Claude Code 和越来越多的内部工具 ——

查看英文原文

WHO WE ARE

Help Scout started in 2011 with a simple premise: support software should treat customers like people, not tickets. 3+ billion conversations later, more than 10,000 companies use Help Scout to grow relationships with customers of all types, from clients to patients and beyond.

Now we’re in a new chapter: not only building AI that gives teams more space to focus on the customer experience, but also reimagining how we operate in an AI-native world. That means shipping and learning faster, without compromising on craft. Great work here carries a strong opinion and sweats the details, regardless of the tools we use to drive it.

We’ve been a fully remote team https://articles.helpscout.com/blog/remote-culture/ since day one, with 120+ teammates now all over the world. It’s a culture where you’ll be trusted to take ownership, stay curious, and raise the quality of work around you. It comes with clear expectations and a team that will push you to do some of the best work of your career.

If that kind of challenge gives you energy, we’d love to meet you.

ABOUT THIS ROLE

This role sits on our Agents team — the group building the AI-powered experiences our customers use every day. It's where large language models stop being a demo and become a dependable part of the product: answers, drafts, and assistive features that have to be fast, trustworthy, and genuinely useful in front of real customers.

We're looking for an engineer who can build that end-to-end — from the retrieval and agentic plumbing behind a feature to the polished, fast, accessible interface a support agent actually touches. You'll have a frontend center of gravity (strong JavaScript/TypeScript and real front-end craft) while operating as a full-stack product engineer who owns the whole thing.

HOW WE WORK

Engineers at Help Scout own their work end-to-end — from problem definition through production, and from the customer signal that shaped the bet to the dashboard that tells you whether it landed. You're full-stack capable, customer-fluent, and genuinely fast with AI tools. You ship the whole thing, not just your layer.

- We develop in Kotlin, Java, TypeScript, React, and PHP.

- We leverage Elasticsearch, ClickHouse, Kafka, Flink, RabbitMQ, MySQL, and PostgreSQL — plus vector search and LLM tooling for our AI features.

- We're heavy users of the AWS ecosystem, Slack, GitHub, and Linear.

- We use AI tools — Cursor, Claude Code, and a growing set of internal tools — every day. We treat our AI workflow as a product we're shaping together, and we expect you to help shape it.

- Teams are small and project-based. You might be 3 engineers and a PM on one project, 2 engineers and a designer on the next, or holding more of the product thinking yourself. You're expected to operate well across different compositions and ship end-to-end.

WHAT YOU'LL DO

- Ship customer-facing AI features across the full stack. Build the experience and what's behind it — LLM-backed flows, retrieval (RAG) and embeddings, and agentic tool-calling — through to a fast, accessible, well-crafted UI. Most engineers here have a strength; yours leans frontend, and you take initiative across every layer.

- Treat AI output as something you verify, not assume. Build evaluations, guardrails, and monitoring into AI features so quality is measurable and holds up in production. Know when to trust a model's output and when to push back — and design the system so the product degrades gracefully when a model or provider misbehaves.

- Sweat the front-end craft. The interface is where AI either earns or loses customer trust. You care about responsiveness, streaming/loading states, accessibility, and the small details that make an assistive feature feel reliable rather than gimmicky.

- Stay close to customers. Join customer calls when more context is needed to design the right solution, participate in a support escalation rotation, and watch session recordings on the features you own. Bring that signal back into the work.

- Own outcomes, not just output. Before a project starts, you and a PM agree on a specific outcome metric the work is trying to move. You instrument it, and after it ships you're watching the dashboard and talking to customers — deciding what to do next, not just closing a Linear issue.

- Co-author the solution. PMs own strategy and sequencing; you bring the judgment and craft for how solutions actually get built, and you'll often shape the product thinking too. The best work happens when engineers, designers, and PMs support each other.

- Own production readiness from the start. Automation, reliability, monitoring, alerting, and logging aren't afterthoughts — they're part of how you ship. The work continues after merge.

- Use AI tools every day as part of your craft. We expect fluency with Cursor, Claude Code, or similar. If you saw a way to make the team's AI workflow better tomorrow, you'd say so.

- Help us hire. From time to time, partner with our Talent team to interview future teammates — one of the highest-leverage things any engineer here does.

ABOUT YOU

- You're a strong, full-stack-capable engineer with a frontend center of gravity. You have substantial JavaScript/TypeScript and React experience and real front-end craft, and you take initiative across the stack and ship end-to-end without waiting for someone to own the other half.

- You've built real things with LLMs — not just prototypes. You're comfortable with retrieval (RAG), embeddings, prompt/context engineering, and agentic/tool-calling patterns, and you have a point of view on what makes AI features actually reliable in production.

- You hold a high bar for AI quality. You think in terms of evaluation, verification, and guardrails; you measure whether an AI feature works rather than assuming it does; and you know that more AI-generated code is not the same as more value.

- You're genuinely fluent with AI coding tools and treat them as part of your craft. You move fast without sacrificing judgment, and you have a point of view on where these tools are heading.

- You're customer-fluent. You actively seek out customer signal because it's how you stay connected to whether your work is actually solving the problem.

- You own outcomes. You measure your work by whether it landed — and you're comfortable saying "this didn't move what we hoped, here's what we want to try next," then following through.

- You take real ownership of the full development lifecycle — automation, reliability, resilience, monitoring, alerting, and logging built in from the start. You stay with what you ship until the metric moves and the customer is better off.

- You communicate clearly in writing and in conversation. Help Scout is fully remote and writing is the medium of most decisions. You give and receive direct feedback, and you see code review and pairing as real chances to teach and learn.

NICE TO HAVE

- Experience making LLM features production-grade: latency/cost tuning, fallbacks and circuit breakers across providers, moderation/safety, and handling sensitive data responsibly.

- Familiarity with evaluation/observability tooling for AI (LLM-as-judge, test sets, tracing) and the discipline of building representative eval sets.

- Design sensibility — comfort partnering closely with designers and elevating the craft of an interface, not just implementing a spec.

- Experience in customer support, productivity, or other tools where trust and reliability are the product.

COMPANY VALUES

HAPPY TO HELP

Help is in our first name! We show up for each other — not out of obligation, but because we’re invested in the team’s collective success. We share knowledge freely, lead with generosity, and practice empathy with our teammates, customers, and community.

CRAFT OVER CONVENTION

Our success relies on the quality and craft https://paulstamatiou.com/craft of the work we put into the world. The status quo simply won’t work. So we insist on narrow focus, sweating every detail, and relentless pursuit of customer delight.

PROGRESS NOT PERFECTION

Achieving our true potential — collectively and individually — requires constant progress and forward momentum. By creating a culture of curiosity and openness, we aim to create a safe space for mistakes, the ability to identify them quickly, and use them to get better.

OWN THE OUTCOME

Own the outcome means taking full responsibility for the results of your work, decisions, and contributions. It reflects a mindset of accountability, proactiveness, and follow-through. If you “own the outcome,” you don’t just complete tasks, you ensure your work leads to meaningful results, and take initiative to solve problems rather than passing them along.

Read more about how we define, share, and live these values here https://articles.helpscout.com/blog/aligning-culture-with-values/.

BENEFITS AND PERKS

- Competitive salary and an internal, transparent salary formula based on market data

- Flexible time off – you choose the holidays and vacations that make sense for you

- 12 weeks of fully paid parental leave for all new parents, including adoption and foster care

- A home office stipend to help you get set up and productive

- A co-working stipend up to $300 a month if you choose to work out of your house

- A yearly professional development stipend of $1,800 to help you grow in your craft

- If you’re in the U.S. or Canada, we offer top tier health insurance for you and your dependents.

HIRING GUIDELINES:

All roles at Help Scout are fully remote. Some positions have specific location requirements. For roles outside the U.S. and Canada, we work with teammates as independent contractors under country-specific agreements.

We do not sponsor visas. Teammates must already be authorized to work from their home country.

We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion https://www.helpscout.com/dei/. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do.

To provide you with the best experience, we can support you with accommodations or adjustments at any stage of the recruitment process. Simply inform our recruitment team during your conversation with them.

A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS

While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team.

On our end, we utilize a platform called Brighthire as a notetaker and review tool to ensure a fair and transparent hiring process.

Beware of scammers! All legitimate communication from Help Scout regarding your application will come directly from an @helpscout.com http://helpscout.com email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.

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