Head of Data & AI
关于 Burq Burq 开始了雄心勃勃的使命：将复杂的提供服务过程转化为简单，关键解决方案。这是一个很大的任务，现在我们希望你加入我们来使其更大。我们感到自豪被公认为快速公司创新者最佳工作场所之一和2025年美国集团杂志电力合作伙伴之一，奖项突出了我们如何重新定义物流未来，同时赋予我们的合作伙伴增长能力。由像谷歌全球这样的谷投资者支持，该基金的投资者包括比尔盖茨，杰夫·贝索斯，马克扎克伯格，里德霍夫曼和萨拉·布莱克利，我们已经建立了一个世界级团队。我们在规模上运营，但仍然足够小，每个人都可以产生巨大影响。未来还有很多重要工作，加入 Burq 意味着你有机会比以往任何时候都更快地成长，同时做出职业生涯中最有意义的工作。以下是你将要做的简单概述：我们寻找数据和人工智能负责人来建立 Burq 的智能。你将构建一家世界级的数据与 ML 平台：将数据转化为使每一个交付决定更加聪明的模型和机器人自动化的系统，行业仍在手工完成的工作。你将设定战略，做硬架构和建模调用，运输模型进入生产中推动业务发展，并建立团队以规模完成这一任务。这是一个玩家-教练角色。你将领导和增长数据和 ML 团队，同时保持深入的实践进行建筑调用，审查工程和建模工作，确保平台服务于产品和商业目标。你将与工程主管密切合作，以及与产品和人工智能领导有关如何显示智能在产品中。· 定义和执行数据治理，访问管理，质量标准以及一个模拟良好的可靠的"黄金"层。· 使仓库成为运营，产品和金融分析的真相来源。智能与机器学习 · 建立了供电传输智能模型 预测，预测，优化，匹配/分配和可靠性评分，使我们的数据变得更好地实时决策。· 建立使这一情况真正可靠的 ML 系统：管道，培训，服务，评估和漂移监控功能
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About Burq
Burq started with an ambitious mission: to turn the complex process of offering delivery into a simple, turnkey solution. It’s a big mission, and now we want you to join us in making it even bigger. 🚀
We’re proud to be recognized as one of Fast Company’s Best Workplaces for Innovators and a 2025 Inc. Magazine Power Partner, awards that highlight how we’re redefining the future of logistics while empowering our partners to grow.
Backed by leading Silicon Valley investors like Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely, we’ve built a world-class team across the globe.
We operate at scale but remain small enough for every person to have a massive impact. There’s a lot of important work ahead, and joining Burq means the opportunity to grow faster than ever while doing the most meaningful work of your career.
Here’s a quick overview of what you will be doing:
The Role
We're looking for a Head of Data & AI to build the intelligence that powers Burq.
You'll build a world-class data-and-ML platform: the systems that turn data into models which make every delivery decision smarter and agents that automate the work the industry still does by hand. You'll set the strategy, make the hard architecture and modeling calls, ship models into production that move the business, and build the team to do it at scale.
This is a player-coach role. You'll lead and grow the data and ML team while staying deeply hands-on — making architecture calls, reviewing engineering and modeling work, and ensuring the platform serves both product and business goals. You'll partner closely with the Head of Engineering, and with product and AI leadership on how intelligence shows up in the product.
What You'll Do
Data Platform
- Own the full data platform — the warehouse, streaming and batch ingestion, the semantic layer, and BI infrastructure.
- Define and enforce data governance — access management, quality standards, and a well-modeled, trustworthy "gold" layer.
- Make the warehouse the source of truth for operational, product, and financial analytics.
Intelligence & Machine Learning
- Build the models that power delivery intelligence — forecasting, prediction, optimization, matching/allocation, and reliability scoring that turn our data into better real-time decisions.
- Stand up the ML systems that make this real and reliable: feature pipelines, training, serving, evaluation, and drift monitoring.
- Design the learning loop — instrument decisions and outcomes so models continuously improve.
- Drive the AI agent initiative to production, partnering with product and engineering on the surrounding workflows.
Team & Stakeholders
- Manage and grow the data and ML team (starting from a small core) — hire data engineers, analytics engineers, and data scientists/ML engineers as the platform matures.
- Establish a clear intake process for ad hoc data requests so the team works from a roadmap, not in reactive mode.
- Partner with Sales, Customer Success, and Finance on data-driven analyses and decisions.
Requirements
- 8+ years in data/ML, including 2+ years in a leadership or staff-level role owning a data or ML platform.
- Player-coach — you lead a team and still go deep in the technical work: architecture, modeling, and code review.
- Strong on both halves of the role:
- Data platform — modern data warehouse design (e.g., Snowflake/BigQuery), streaming + batch ingestion, dbt or equivalent, performance and cost optimization, governance.
- Machine learning — you've built and shipped production models (forecasting, optimization, ranking/matching, or prediction) with real business impact, plus the ML systems around them (feature pipelines, serving, monitoring/MLOps).
- Experience building data and ML products, not just pipelines — you understand how data and models serve product and business goals.
- Familiarity with modern AI/LLM and agentic data work is a strong plus.
- Strong stakeholder management — you can say no to an ad hoc request with a good reason and a better alternative.
- Experience at a high-growth startup or scale-up where the platform was built, not inherited.
Location
This is a fully remote role, open to candidates based in the United States and Canada, with a few in-person offsites throughout the year.
How We Work
We're remote with a few in-person offsites throughout the year. We move quickly, default to writing, and ship early to real customers before rolling things out broadly. AI is part of how we work every day, not a separate initiative — we expect people to experiment with new tools, share what they learn, and continuously rethink how great products get built. We care more about speed, ownership, and iteration than process for the sake of process.
Benefits
Investing in you 🙏
- Competitive salary, stock options, and performance-based bonuses
- Fully remote
- Comprehensive medical, vision, and dental insurance
At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Originally posted on Himalayas