Chirp Labs is hiring a bilingual Data Architect & Engineer in Sydney to own the data layer behind Birdie: the knowledge graph and ingestion pipeline that turns sales calls, emails and CRM records into one verified record per deal. Australian citizens and permanent residents are encouraged to apply, and sponsorship is available under the Skills in Demand visa (subclass 482).

About Chirp

Chirp Labs builds Birdie, an AI-native voice agent that runs a sales rep's CRM. After every call the rep talks to Birdie, and Birdie updates the CRM, schedules follow-ups and saves context. Underneath Birdie sits a knowledge graph and ingestion pipeline that captures calls, emails and notes and resolves them into one clean, self-improving record per deal. That data layer is what this role owns.

We are a six-person startup founded in 2024, based in Sydney and San Francisco, backed by Startmate (2025 cohort) and angel investors, and CRM-agnostic by design. Our current markets are Oceania and North America, with European expansion planned.

Why this role exists

This role owns the data layer that Birdie acts on. Birdie only updates a CRM or schedules a follow-up from the resolved record of a deal, never from a raw transcript or a stale CRM field. Today that record is produced by a pipeline and knowledge graph the founders and Lead Engineer built over 18 months. As customers and CRMs multiply, it has to become a production data platform: one ontology, reliable ingestion from calls, email, calendar and every supported CRM, measurable data quality, and privacy controls a customer's security team will sign off on.

You will be the first dedicated data hire, setting the architecture and building most of it yourself. You work in English with the Sydney and San Francisco team, and in Chinese with our Chinese-speaking investors, partners and data sources.

What you will do

1. Own the data architecture of Birdie's knowledge graph: the deal ontology, schemas, entity-resolution rules, naming conventions and data dictionary.
2. Design, build and maintain ingestion pipelines that take calls, transcripts, emails, calendar events and CRM records (HubSpot, Salesforce, Pipedrive and others) and resolve them into one verified record per deal.
3. Research, analyse and evaluate data and system needs with product and engineering; identify limits and deficiencies in the current pipelines and propose remedies.
4. Test, debug, diagnose and correct faults; build data-quality checks, monitoring, backfills and replay so a bad extraction never reaches a customer's CRM.
5. Design for privacy and security: personal-data handling, retention, per-customer isolation, access control, and compliance with the Australian Privacy Act and customer contracts.
6. Write and maintain technical documentation, data contracts and operational runbooks for the data platform.
7. Advise on platform design choices, including vendor evaluation, build-versus-buy and cost, and own the data platform's cloud spend.
8. Work in Chinese and English: handle Chinese-language transcripts and CRM text in the pipeline (segmentation, entity resolution, evaluation), and produce technical documentation and data due-diligence answers for Chinese-speaking investors, partners and vendors.

What you need

Applicants must show all of the following.

• A bachelor's degree or higher in computer science, software engineering, data engineering or a related field, or equivalent professional experience.
• At least 3 years building production data pipelines and data models, with fluent Python and SQL.
• Experience designing schemas or ontologies and doing entity resolution, in a graph database or in relational models of graph-like data.
• Hands-on experience with a workflow or streaming tool (for example Airflow, Dagster, Inngest, Kafka or dbt) and a cloud data store (for example Postgres, BigQuery, Snowflake or object storage).
• Experience with LLM-based extraction: embeddings, retrieval, and evaluating the accuracy of structured data pulled from unstructured text.
• Working knowledge of data privacy and security practice: personal-data handling, access control, retention and tenant isolation.
• Professional working proficiency in English and Mandarin Chinese, including written Simplified Chinese: able to write technical documentation, review data and present designs in both.
• Australian work rights, or eligibility for sponsorship under the Skills in Demand visa (subclass 482).

Nice to have

None of these is required. They tell us you will be productive sooner.

• Early-stage startup experience, where you were the only or first data engineer.
• Familiarity with tools in our stack: Supabase and Postgres, Inngest, the Cognee knowledge-graph framework, Composio connectors, Deepgram, Vercel and Cloudflare.
• Experience with HubSpot, Salesforce or Pipedrive APIs and their data models.
• Chinese-language natural language processing: segmentation, named-entity recognition, or evaluating LLM output on Chinese text.
• TypeScript in a Next.js codebase, and daily use of AI coding tools such as Claude Code or Cursor, which is how this team writes most of its code.
• Exposure to SOC 2 or ISO 27001 controls for a SaaS product.

Why this role is bilingual

Bilingual Chinese and English is an inherent requirement of this position, not a preference, and it applies equally to every applicant, including Australian citizens and permanent residents.

1. Investors and partners. Chirp produces its company and product materials in English and Simplified Chinese for Chinese-speaking investors and partners. This role answers their technical and data due-diligence questions directly, in Chinese, without a translator in the loop.
2. Chinese-language data in the product. Birdie's pipeline processes sales calls, emails and CRM text. Where customers or their buyers work in Chinese, the person who designs segmentation, entity resolution and quality evaluation for that text has to read it.
3. Vendors and engineering partners. Some of the data and AI vendors and engineering partners Chirp works with operate in Chinese; the role reviews their documentation, contracts and integration specs in the original.

Terms of employment

Term	Detail
Contract	Full-time, permanent, 38 hours a week under the National Employment Standards
Salary	AUD 150,000 to 170,000 base, set within the band on experience, reviewed annually
Superannuation	12% employer contribution on top of base
Equity	Participation in the Chirp Labs employee share option plan, vesting over 4 years
Leave	4 weeks annual leave, 10 days personal leave, public holidays and other statutory entitlements
Location	Sydney, hybrid. Equipment provided
Probation	6 months
Visa	Chirp Labs sponsors the Skills in Demand visa (subclass 482) and pays all sponsorship, nomination and levy costs; the employee pays the visa application charge unless agreed otherwise

How to apply

Email nick@trychirp.com with the subject "Data Architect & Engineer". Include a CV in English (a Chinese CV is welcome as well), a short note in either language on a data system you designed and what you would change about it, and links to code you are proud of. Applications close on 20 October 2026. We reply to every applicant and interview in English and Chinese.

Chirp Labs 正在悉尼招聘一位中英双语的数据架构与数据工程师，负责 Birdie 背后的数据层：将销售通话、邮件和 CRM 记录解析为每个交易一份经验证记录的知识图谱与数据摄取管线。欢迎澳大利亚公民及永久居民申请，同时可提供 482 类（Skills in Demand）签证担保。

关于 Chirp

Chirp Labs 打造的 Birdie 是一款为销售团队服务的 AI 原生语音智能体，替销售打理 CRM。每次通话结束后，销售只需对 Birdie 说一说，Birdie 便会更新 CRM、安排跟进并保存上下文。Birdie 的底层是一套知识图谱和数据摄取管线，持续捕捉通话、邮件和笔记，并将其解析为每个交易一份干净、可自我完善的记录。本职位负责的正是这一数据层。

Chirp 是一家成立于 2024 年的六人初创公司，总部位于悉尼和旧金山，获 Startmate（2025 届）及天使投资人支持，从设计之初就不绑定任何 CRM。当前市场为大洋洲和北美，并计划拓展欧洲。

为什么需要这个职位

本职位负责 Birdie 据以行动的数据层。Birdie 只依据每个交易经解析后的记录来更新 CRM 或安排跟进，而非原始转录或过期的 CRM 字段。目前这一记录由创始人和首席工程师历时 18 个月搭建的管线与知识图谱生成。随着客户和 CRM 种类增多，它需要成长为一套生产级数据平台：统一的本体模型，可靠地从通话、邮件、日历及所有支持的 CRM 摄取数据，可度量的数据质量，以及能让客户安全团队认可的隐私控制。

你将是公司第一位专职数据工程师，负责确定架构并亲手实现大部分工作。你将用英语与悉尼和旧金山团队协作，用中文与我们的中文投资人、合作伙伴和数据源对接。

你将做什么

1. 负责 Birdie 知识图谱的数据架构：交易本体模型、数据模式、实体解析规则、命名规范及数据字典。
2. 设计、搭建并维护数据摄取管线，将通话、转录、邮件、日历事件和 CRM 记录（HubSpot、Salesforce、Pipedrive 等）解析为每个交易一份经验证的记录。
3. 与产品和工程团队一起调研、分析和评估数据与系统需求；识别现有管线的局限与不足并提出改进方案。
4. 测试、调试、诊断并修复故障；建立数据质量检查、监控、回填和重放机制，确保错误抽取结果不会进入客户的 CRM。
5. 以隐私与安全为前提进行设计：个人数据处理、保留期限、客户间隔离、访问控制，并符合澳大利亚《隐私法》及客户合约要求。
6. 撰写并维护数据平台的技术文档、数据契约和运维手册。
7. 就平台设计决策提供建议，包括供应商评估、自研与采购的取舍及成本核算，并负责数据平台的云支出。
8. 中英双语工作：在管线中处理中文转录和 CRM 文本（分词、实体解析、评估），并为中文投资人、合作伙伴和供应商提供技术文档与数据尽调答复。

基本要求

申请人需同时满足以下全部条件。

• 计算机科学、软件工程、数据工程或相关专业本科及以上学历，或同等的专业经验。
• 至少 3 年搭建生产级数据管线和数据模型的经验，精通 Python 和 SQL。
• 具备数据模式或本体设计以及实体解析的经验，使用图数据库或用关系模型表达图结构数据均可。
• 熟练使用至少一种工作流或流处理工具（如 Airflow、Dagster、Inngest、Kafka 或 dbt）和一种云数据存储（如 Postgres、BigQuery、Snowflake 或对象存储）。
• 具备基于大语言模型的信息抽取经验：向量嵌入、检索，以及对从非结构化文本中抽取的结构化数据进行准确性评估。
• 了解数据隐私与安全实践：个人数据处理、访问控制、保留期限和租户隔离。
• 英语与普通话均达到专业工作水平，包括简体中文书面能力：能用两种语言撰写技术文档、审阅数据并陈述设计方案。
• 拥有澳大利亚工作权利，或符合 482 类（Skills in Demand）签证担保条件。

优先条件

以下均非必需，但能让你更快上手。

• 早期初创公司经验，尤其是作为唯一或第一位数据工程师。
• 熟悉我们技术栈中的工具：Supabase 与 Postgres、Inngest、Cognee 知识图谱框架、Composio 连接器、Deepgram、Vercel 和 Cloudflare。
• 具备 HubSpot、Salesforce 或 Pipedrive API 及其数据模型的经验。
• 中文自然语言处理：分词、命名实体识别，或对中文文本上的大模型输出进行评估。
• 在 Next.js 代码库中使用 TypeScript，并日常使用 Claude Code 或 Cursor 等 AI 编程工具，这是本团队编写大部分代码的方式。
• 接触过 SaaS 产品的 SOC 2 或 ISO 27001 控制要求。

为什么需要中英双语

中英双语是本职位的固有要求，而非偏好。该要求对所有申请人一视同仁，包括澳大利亚公民和永久居民。

1. 投资人与合作伙伴。 Chirp 以英文和简体中文两种版本制作公司和产品资料，面向中文投资人和合作伙伴。本职位直接用中文回答他们的技术与数据尽调问题，无需翻译。
2. 产品中的中文数据。 Birdie 的管线处理销售通话、邮件和 CRM 文本。当客户或其买方使用中文时，负责设计分词、实体解析和质量评估的人必须能读懂这些文本。
3. 供应商与工程合作方。 Chirp 合作的部分数据与 AI 供应商及工程合作方以中文运作，本职位需直接审阅其原文文档、合约和集成规范。

雇佣条款

条款	详情
合同	全职长期合同，每周 38 小时，遵循国家就业标准
薪酬	基本年薪 15 万至 17 万澳元，按经验在区间内确定，每年复核
养老金	雇主另行缴纳基本工资 12%
期权	参与 Chirp Labs 员工期权计划，4 年归属
假期	4 周年假、10 天个人假（含病假）、公众假期及其他法定福利
地点	悉尼，混合办公，提供设备
试用期	6 个月
签证	Chirp Labs 担保 482 类签证并承担全部担保、提名及征费成本；签证申请费由员工承担，另有约定除外

申请方式

请发送邮件至 nick@trychirp.com，邮件主题为“Data Architect & Engineer”。请附英文简历（也欢迎附上中文简历），用中文或英文简述你设计过的一套数据系统以及你会如何改进它，并附上你引以为傲的代码链接。申请截止日期为 2026 年 10 月 20 日。我们会回复每一位申请人，面试以中英双语进行。