Technical Product Manager, Data Engineering
Argentina, Remote
Wonolo
The Future of Working Is Here. No more resumes. No more interviews. The world of work made simple. Transparency. Unlike a temp agency, Wonolo provides solutions that give companies real-time insights into workers, jobs, and more. And, our...We are looking for a Technical Product Manager to join our Data Engineering team. In this role, you will work cross-functionally with our engineering and analytics leaders to clearly define and implement improvements to the ELT data pipeline so that we can build out a data infrastructure based on modern architecture. Your work will support the needs of both our engineering and analytics teams, in addition to customers with direct data share integrations so that all of your end-users have access to stable and reliable data. This is a great opportunity to work on large-scale initiatives with new foundations, and you will be a big driver behind this. You will have a pivotal role in our ability to scale by determining which aspects of the ELT data pipeline to invest in next.
Our current data stack consists of Snowflake, Stitch, Airflow, Segment, Looker, dbt, and Amplitude. If you are a data-driven Product Leader who has a "get things done” mentality, is customer-obsessed, and looking for impact at scale at a mission-driven startup, we would love to hear from you!
We are remote-first and welcome qualified candidates located anywhere in the United States, Canada and Latin America #LI-Remote.
What you'll do:
- Own strategy and roadmap for our Data Engineering capabilities
- Work closely with Engineering leads to determine necessary investments in the ELT data pipeline
- Partner with Analytics leads and internal Engineers to assess the strategic value
- Drive revenue and customer retention by designing our data sharing offerings to customers, and building a roadmap and product line that flexibly accommodates multiple integration options
- Design complex data flows, business rules, user flows, and use-cases based on customer needs
- Drive product priorities by understanding our internal development needs through research and discussions with product analytics and engineering teams
Who you are:
- 3+ years of experience in a technical product management role
- Strong domain expertise in data table architecture and ELT pipelines
- Strong technical background with the ability to engage in system design with engineering and analytics teams
- Data proficiency: measuring and versioning, validation of product requests and specific pain points (how to use data to validate problems that exist)
- Basic SQL experience
- Understanding of APIs or SDKs
- Understanding of table structures
- Understand technical documentation
- Understand the data ecosystem, modern data stack, and agile analytics
Preferred:
- Engineering background
- Experience with / implementing API or SDKs
- Experience with dbt and/ or Snowflake
- Advanced SQL
Benefits and perks:
- Competitive salary, meaningful equity, and company bonus
- We cover 100% insurance (medical/dental/vision) premiums for you, 80% for your dependents
- We encourage a healthy work-life balance and offer flexible schedules, an open vacation policy, and the ability to work from anywhere in the United States and Canada (no more commutes!)
- Generous parental leave plan
- Cell phone reimbursement and company laptop
- Life and disability insurance
- Team outings, virtual happy hours, company off-sites, and more!
Wonolo is a two-sided job marketplace that serves over 1 million front-line workers, providing them access to flexible and consistent job opportunities across the United States within minutes, at companies such as Peloton, Coca-Cola, Neiman Marcus, Papa John's, and thousands more.
We are a remote-first company with 200+ full-time employees, and quickly scaling our team within the United States, Canada, and Latin America. We are well funded and backed by leading investors including Sequoia Capital, Bain Capital, and Leeds Illuminate, among others.
Learn more about us:Wonolo raises $140M to continue supporting over 1 million laborers and front-line workersWonolo is one of Glassdoor's best tech companies to work for in 2021Why G2 Venture Partners Invested in WonoloYong Kim (CEO) on why he's passionate about empowering the in-demand workforce
Wonolo is a Great Place to Work-Certified company for delivering a consistently high-trust experience for all employees. We value representation and are committed to creating an inclusive work environment. We provide equal employment opportunities for all applicants and employees.
Inc. Magazine's Best Workplaces 2022 (Medium to Large)#24 in Glassdoor's Best Places to Work 2021 (Small and Medium)#12 in Fortune's Best Workplaces in the Bay Area 2021 (Small and Medium)
Commitment to Diversity, Inclusion, Equity, and BelongingWonolo welcomes you as you and celebrates our collective diversity. We work to serve the underserved, and we are built on the strength of our entire community. We are especially interested in candidates who represent different cultures, perspectives, and backgrounds as these empower our team to come together to make the best decisions and the biggest impact.
Wonolo is an equal opportunity employer. We work to ensure all people feel supported, empowered, and connected at work. A big part of this effort is through our support for members and allies of Employee Resource Groups such as Whammies of Color and Allies at Wonolo (WoCAW), Women of Wonolo (WoW), Parents of Wonolo (PoW), and People Out at Wonolo and Allies (POWA). Individuals seeking to work at or with Wonolo are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity, or any other protected status under all applicable laws, regulations, and ordinances.
Wonolo Privacy StatementBy providing your personal information and/or submitting your application, you agree that Wonolo may use your personal information for the purposes of carrying out its recruitment and hiring process, which may include, but not limited to, reviewing your qualifications, verifying your information, communicating with you about the recruitment process, and retaining your personal data as otherwise needed for recruitment-related activities.
Information you provide Wonolo as part of the recruitment process is accessible only to those Wonolo employees and other third-party service providers involved with Wonolo's recruitment, interview, and onboarding process. Wonolo does not disclose your personal information to any third party in a manner that would be considered a sale under applicable laws. By providing your personal information as an applicant for this position or any other position at Wonolo, you agree that your personal data may be transferred and/or disclosed to Wonolo's third-party providers. This may include transfers to servers and databases outside the country where you provided Wonolo with your personal data.
This position is not open to applicants residing in or otherwise based in the State of Colorado or New York City. The work location is flexible if approved by the Company, except that the position may not be performed remotely from within the State of Colorado or New York City.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Amplitude APIs Architecture ELT Engineering Looker Pipelines Privacy Research Snowflake SQL
Perks/benefits: Competitive pay Equity Flex hours Flex vacation Gear Health care Insurance Medical leave Parental leave Salary bonus Startup environment Team events
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