Product Manager - Data Engineering

Product Manager - Data Engineering

Pax8 is the leading cloud-based technology marketplace, simplifying the cloud journey for our partners by integrating technology, business intelligence and proactive service to deliver an unparalleled experience. Serving thousands of partners through the indirect sales channel, our mission is to build the technology marketplace of the future. We are a fast-growing, dynamic and high-energy startup organization, allowing you to make a meaningful impact on the business. Culture is important to us, and at Pax8, it's business, and it IS personal. We are passionate, creative and humorously offbeat. We work hard, keep it fun, and expect the best.

We Elev8 each other. We Advoc8 for our partners. We Innov8 continuously. We Celebr8 life.

No matter who you are, Pax8 is a place you can call home. We know there's no such thing as a "perfect" candidate, so we don't look for the right "fit" – instead, we look for the add. We encourage you to apply for a role at Pax8 even if you don't meet 100% of the bullet points. We believe in cultivating an environment with a diversity of perspectives, in hopes that we can all thrive in an inclusive environment.

We are only as great as our people. And we have great people all over the world. No matter where you live and work, you're a part of the Pax8 team. This means embracing hybrid- and remote-work whenever possible.

Position Summary:

The Product Manager, Data Engineering, drives the roadmap and strategy for data engineering initiatives with an emphasis on enabling downstream enterprise software functionality (e.g. Salesforce, Marketo, ServiceNow and the like). Collaborating closely with data engineers, enterprise technology teams, product managers, and business stakeholders, they develop and optimize data warehouses, pipelines, and integrations to enable data consumers and data products. Leveraging experience in enterprise tools and data engineering, the Product Manager prioritizes and delivers impactful solutions through data-driven decision-making, experimentation, and user-focused design approaches to maximize value derived from data and enable decision-making across the org.

Essential Responsibilities:

• Lead the strategy and roadmap for data engineering. This area enhances growth by enabling data consumers to gain insights from various data sources, visualizations, and reporting. Ensure tools like ServiceNow, Salesforce, and Marketo use enterprise data effectively. Improve time-to-value from new data sources by upgrading data warehousing, implementing governance best practices, and developing tools, processes, and documentation.
• Apply design and product thinking to the data consumer experience and data engineering capabilities.
• Collaborate deeply with business and engineering stakeholders across the org to plan the right product improvements at the right time to meet a demonstrated market or business need.
• Own and manage the data engineering product backlog, prioritizing features, enhancements, and operational improvements that align with strategic objectives.
• Communicate product strategy and collaborate with other teams to ensure they understand the strategy for efficient execution, aiming to enhance growth, speed-to-market, and business value.
• Distill vision and strategy into an actionable, focused roadmap that bolts into business OKRs; socialize and advocate for the roadmap.
• Coordinate tactical execution, manage timelines, track deliverables, and ensure effective communication across data engineering and delivery teams.
• Facilitate sprint planning, stand-ups, retrospectives, and other agile ceremonies specific to the data engineering team.
• Stay informed of emerging trends in data engineering, data governance, and enterprise technology tools.
• Guide trade-off decisions to maximize value.
• Establish, track, and communicate progress toward outcomes using key performance indicators (KPIs) and OKRs.
• Demonstrate AI-first thinking.

Ideal Skills, Experience, and Competencies:

• At least three (3) years of product management experience in a technical domain, preferably in platform engineering, infrastructure, developer tooling, or an equivalent role.
• Experience with: big data warehouse design, big data databases (Redshift, BigQuery, Hive, Presto, etc.), orchestration frameworks (Airflow, Glue, etc.), data streaming (Kafka), and working knowledge of modern data engineering principles and practices.
• Experience building data infrastructure, services, processes, and advocating for their uses.
• Strong understanding of data consumer pain points across departments and disciplines.
• Scrupulosity about value for the business; ability to understand and focus on what is most likely to bring ROI.
• Experience with Agile/Scrum Software Development along with project management tools (Trello, Jira, Rally or equivalent) in a technical software development environment.
• Experience prioritizing product backlogs and working closely with software engineers to write and refine stories for sprint execution.
• In-depth knowledge of software delivery process, developer analytics best practice and tools, and basic software and data architecture principles.
• Exceptional project management and interpersonal skills with experience managing multiple work streams across a variety of stakeholders.
• Ability to work with considerable autonomy and minimal guidance, with a bias to action.
• Proven ability to collaborate and problem-solve with diverse people in various parts of the organization.
• Ability to vet the work, ask insightful questions, and have attention to detail.
• Comfortable with ambiguity and can adapt to rapidly changing situations.
• Data-driven by nature with the ability to make and justify difficult decisions.
• Be deeply knowledgeable about the product area portfolio.
• Track record of defining and delivering groups of enhancements that drive outcomes.
• Expertise in using AI tools for product management and data engineering to improve skills, enhance work products, and drive outcomes.

Required Education & Certifications:

• B.A./B.S. in related field or equivalent work experience.

Compensation:

• Qualified candidates can expect a compensation range of $112,000 to $139,000 or more depending on experience.