Technical Staff Product Manager - Data
我们正在改变普罗技术产业。我们是一个利,增长阶段的公司,为 PropTech 领域构建行业领先的市场科技和数据产品。我们的重点是以三位数增长率为主导的 AI 和数据 SaaS 产品。我们是一支由100多名来自美国各地沿海地区分布的完全远程团队。我们遵循严格的无洞政策,并自豪地建立了一个高性能的人群,他们认真对待我们的工作,但不是自己。我们正在寻找特殊的人来进一步加速我们的增长。虽然我们迄今为止从一些世界最好的投资者那里筹集了30亿美元以上,但我们拥有强大的平衡表和无限的跑道。我们自豪地实现快速增长而不需要焚烧资本。关于我们的产品公寓 IQ 是全合数据平台,在多家家庭中提供更智能决策,覆盖40万个单位,每天用于调查,研究和收入管理的财产和市场情报。我们受到了 NMHC Top50的65%的信任。我们的姐妹公司 MavenAI 提供由行业专家构建的人工智能驱动的营销自动化,并直接与2百万个单位服务的房地管理系统相结合。我们正在寻找一个技术人员产品经理,以拥有公寓 IQ 的数据平台,这是市场情报多家业务运营商每天依赖的基础。这个职位是为那些具有数据科学或分析背景的人而设计。他们在制定产品方向时,很舒服地编写 SQL 并挖掘到一个管道中。你将设定我们如何摄入,建模,验证和传递数据的视野和路线图,与数据工程,数据科学和产品团队密切合作。当一些东西出现问题时,你会深入自己:运行分析,追踪问题的根源,把发现的内容转化成修复和平台改进。你还将直接与客户合作,了解他们如何使用我们的数据,责任 ·拥有数据平台的战略和路线图,包括摄入,数据模型,数据质量以及向内部和客户面临的产品提供;•负责对数据质量问题,异常和指标差异的根源分析,并与工程师一起解决持续的问题。·定义数据质量标准,SLA 和监测,以便在这些问题之前发现客户。· 与数据工程和数据科学合作,应对技术要求,权衡交易。
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We’re Changing the PropTech Industry
We’re a profitable, growth-stage company building industry-leading martech and data products for the PropTech space. Our focus is on our category-leading AI and data SaaS products with triple-digit growth rates.
We’re a fully remote team of 100+ spread across the U.S. from coast to coast. We operate on a strict no a**holes policy and are proud to have built a community of highly performant people that take our work seriously, but not ourselves. And, we're looking for exceptional people to help further accelerate our growth.
While we’ve raised $30MM+ to date from some of the world’s best investors, we’re profitable with a strong balance sheet and an indefinite runway. We pride ourselves on achieving rapid growth without having to incinerate capital.
About Our Products
ApartmentIQ is the all-in-one data platform powering smarter decisions across multifamily—covering 40M units with daily property and market intelligence used for surveys, research, and revenue management. We're trusted by 65% of the NMHC Top 50. Our sister company, MavenAI, delivers AI-powered marketing automation built by industry experts and integrated directly with property management systems, serving over 2M units.
We’re looking for a Technical Staff Product Manager to own ApartmentIQ’s data platform, the foundation behind the market intelligence multifamily operators rely on every day. This role is for someone with a data science or analytics background who is as comfortable writing SQL and digging into a pipeline as they are setting product direction.
You’ll set the vision and roadmap for how we ingest, model, validate, and deliver data, working closely with data engineering, data science, and product teams. When something looks off, you’ll dig in yourself: run the analysis, trace the issue to its root cause, and turn what you find into fixes and platform improvements. You’ll also work directly with customers to learn how they use our data,
Responsibilities
- Own the strategy and roadmap for the data platform, including ingestion, data models, data quality, and delivery to internal and customer facing products
- Lead root cause analysis on data quality issues, anomalies, and metric discrepancies, and work with engineering on fixes that last
- Define data quality standards, SLAs, and monitoring so issues are caught before they reach customers
- Partner with data engineering and data science to scope technical requirements, weigh tradeoffs, and prioritize the backlog
- Turn the needs of internal data users (product, analytics, data science, customer success) and multifamily operators into clear platform requirements
- Define and track the metrics that measure platform health, adoption, and business impact
- Evaluate data sources, vendors, and partnerships that expand the depth and accuracy of our market intelligence
- Explain technical concepts clearly to non technical stakeholders and leadership
Qualifications
- 8+ years of combined experience in product management, data science, or data analytics, including at least 4 years managing data products or data platforms
- Background in data science, analytics, or a quantitative field such as statistics, economics, or computer science
- A track record of root cause analysis on complex data issues, from spotting the anomaly to shipping the fix
- Solid understanding of modern data stack concepts: pipelines, ETL/ELT, data warehousing (Snowflake, BigQuery, Databricks, or similar), data modeling, and data quality tooling
- Experience working closely with data engineers and data scientists, with enough technical depth to earn their trust and challenge assumptions
- Ability to turn ambiguous, messy data problems into clear priorities and actionable product plans
- Experience in a fast moving B2B SaaS environment; real estate, PropTech, or market data experience is a plus
Why Choose Us
- Remote-First: We offer the freedom to work from home across most of the U.S. You’ll enjoy the flexibility of remote work, balanced with high-energy in-person offsites to build real connections and celebrate our wins together.
- Competitive Compensation: We believe in hiring the best and paying accordingly. You’ll receive a competitive salary that reflects your impact and expertise.
- Paid Time Off: Take the time you need with our flexible vacation policy and dedicated paid parental leave to support you and your family’s biggest milestones.
- Your Health Matters: Stay healthy with high-quality Medical, Dental, and Vision insurance plans for you and your family.
- Peace of Mind (On Us): We fully invest in your security with 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance.
- Protection for Your Whole Crew: Access supplemental insurance for the unexpected, plus specialized coverage to keep your pets happy and healthy, too.
- Invest in Your Future: Secure your financial goals with our 401k Program, helping you build for the long term while you help us build the company.
If you need assistance and/or a reasonable accommodation in the application or recruiting process, please contact your recruiter.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
We want to alert you to potential recruiting scams targeting job seekers. Please note that our company will never request payment, personal information, or any confidential details during the interview process.