posted May 15

Product Operations

AWS Cloud Go Python SDLC SQL mid

Job Location: Remote

Job Description

• Establish a deep understanding of how we build and deliver software products, how our customers use them in the market, and the business we’re growing around them • Leverage your experience and knowledge to build the datasets and models we need to analyze and derive insights on the most important aspects of our product business • Own and maintain the systems that transform and store data associated with how our products are used, by whom, and in what scenarios. • Conceptualize, create, and maintain dashboards to reflect engineering operational effectiveness, product adoption and usage, the most important metrics associated with our SaaS business, and more. • Ensure that all product decisions and planning, from strategic to tactical, are fully informed and supported by data • Identify opportunities to improve the way we research, build, and deliver products, and the ways we drive their successful sale and success in the market, and work with functional leaders to implement the necessary changes • Work closely with the Product organization and internal, cross-functional stakeholders, including R&D, FP&A, Marketing, Sales, and Business Operations. • Own and drive critical operational projects and reporting

Qualifications

• 5+ years experience in working in the Product/Engineering organization at B2B SaaS companies • Minimum of 3 years experience answering product and business questions with analysis frameworks • Proven project/program management background, with excellent verbal/written English communication skills • Understanding of general data lifecycles, especially how data is handled between Google Firestore and BigQuery, and external tooling. (Strong SQL experience a plus here) • Ability to handle advanced ad hoc analyses using python or notebooks • Proficiency in data and analytics platforms (Segment, MixPanel, Looker Studio), engineering operations systems (Atlassian, HayStack, GitHub), and go-to-market products (Salesforce, HubSpot) • Experience with Predictive Analytics and Machine Learning, especially in the analysis of product adoption, demand forecasting, and A/B testing) • Ability to adapt to fast-changing nature of SaaS market, and can pivot and learn quickly

Benefits

• Unlimited PTO • Flexible Working Options • Health Insurance • Parental Leave • Employee Stock Option Plan • Home Office Allowance • Professional Development Stipend • Peer Recognition Program

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