The Product Manager drives the strategy for data engineering, managing roadmaps, prioritizing product backlogs, and optimizing data warehouses to enable effective data consumption and improvements across departments.
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
- Scrupulous 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
- Qualified candidates can expect a compensation range of $112,000 to $139,000 or more depending on experience.
Expected Closing Date: 9/15/2025
#LI-Remote #LI-DS1
#LI-
*** Colorado law requires an estimated closing date for job postings. Please don't be discouraged from applying if you see this date has passed ***
At Pax8 we believe that your Total Rewards should include a benefits package that shows how much we value our greatest assets. All FTE Pax8 people enjoy the following benefits:
- Non-Commissioned Bonus Plans or Variable Commission
- 401(k) plan with employer match
- Medical, Dental & Vision Insurance
- Employee Assistance Program
- Employer Paid Short & Long Term Disability, Life and AD&D Insurance
- Flexible, Open Vacation
- Paid Sick Time Off
- Extended Leave for Life events
- RTD Eco Pass (For local Colorado Employees)
- Career Development Programs
- Stock Option Eligibility
- Employee-led Resource Groups
Please take a moment to review our Proprietary Rights and Non-Competition Agreement —this document outlines important information about your rights and responsibilities if you join our team.
Pax8 is an EEOC Employer.
Equal Opportunities
Pax8 is an equal opportunities employer and welcome individuals who are in possession of the appropriate requirements to work within the country the role is based in. Offered individuals will be asked to undertake identity, security compliance and reference checks. Your privacy is important to us. Your data will be held in accordance with Data Privacy best practices and processed only in accordance with our recruiting processes.
Job Applicant Privacy Notice
Top Skills
Agile/Scrum
Airflow
BigQuery
Glue
Hive
JIRA
Kafka
Marketo
Presto
Redshift
Salesforce
Servicenow
Trello
Pax8 Greenwood Village, Colorado, USA Office
The Landmark features an array of restaurants, entertainment & retail. Life in this district comes with access to some of the finest retailers in Denver. At the center of everything, The Landmark is a comfortable & connected community.
Similar Jobs
eCommerce • Mobile • Payments
Lead a team of Account Managers to exceed profit goals, manage campaigns, and drive process improvements while ensuring cross-functional alignment.
Top Skills:
ExcelGoogle SuitePowerPoint
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Seeking an Engineer II for embedded flight software, responsible for software development lifecycle, collaborating with cross-functional teams, and ensuring product reliability.
Top Skills:
AdaCC++DockerIntegrityLinuxMatlabPythonRubyVxworks
Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Analyze mission performance for Space-Based Architectures, develop tools and algorithms, document results, and support proposal writing.
Top Skills:
AfsimPythonRf PhenomenologySignal ProcessingStk
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
