Arch Systems is looking for a Sr. Data Product Manager with a background in deeply technical SaaS B2B products to lead our data engine, which powers Arch's core functionality. This role combines product vision and technical know-how. You will shine in this role if you have a strong product management foundation and basic knowledge of SQL, AWS, and an aptitude for machine data analysis. This role requires PMs to translate machine insights into valuable product features, collaborating closely with engineering, data science, and users to create a powerful data platform that meets complex manufacturing needs.
We're primarily seeking senior-level candidates, but strong mid-level applicants (2-4 years) may also be considered for a Product Manager role with the opportunity to grow within our team.
What You Will Own & Drive
- Product Strategy & Roadmap: Develop and execute a comprehensive strategy and roadmap for our data analytics platform. Ensure alignment with business goals and address the evolving needs of users in the manufacturing sector.
- Stakeholder Collaboration: Partner with engineering, data science, customer success, and application engineering teams to understand user pain points, resolve technical challenges, and deliver impactful, high-value features.
- Insight Development & Optimization: Define and establish actionable data insights specific to discrete manufacturing, including production efficiency, quality metrics, and uptime. Set standards for the types of insights our platform will deliver to optimize manufacturing processes.
- Technical Expertise & Data Integration: Leverage data from diverse sources to make informed product decisions. Demonstrate a strong understanding of machine-generated data, connectivity, and integrity while ensuring the platform meets specific user needs.
- Project Management & Organization: Apply strong organizational skills to manage and deliver product features on time, maintaining a structured approach to project execution and feature prioritization.
What You Bring to The Table
- Experience: 5+ years as a Product Manager in SaaS, ideally with a focus on technical, data-driven products. Candidates with 2-4 years of relevant experience may be considered for a mid-level Product Manager role with growth potential.
- Education: Bachelor's degree in a technical field such as Computer Science, Engineering, Data Science, or related disciplines. Advanced degrees (MBA or MS) are preferred.
- Analytical Skills: Proficient in data analytics and data engineering principles, with experience in tools and methodologies for KPI tracking, reporting, and driving data-centric decisions.
- Technical Proficiency: Familiarity with SQL, AWS, and a foundational understanding of machine data analysis. Experience with machine connectivity, IoT, or industrial data systems is highly desirable.
- Product Strategy & Vision: Demonstrated ability to create and drive a product vision, align product strategy with business goals, and roadmap data-intensive products for B2B users.
- Cross-Functional Collaboration: Proven ability to work effectively across teams, including engineering, data science, customer success, and user teams, to translate user needs into valuable product features.
- Project Management: Strong organizational and project management skills to ensure timely and structured delivery of product features, with an ability to handle multiple priorities effectively.
- Communication Skills: Exceptional verbal and written communication skills, with the capacity to simplify technical details for diverse audiences and present insights that drive business impact.
- Problem-Solving & Innovation: Demonstrated ability to think creatively and strategically to resolve technical challenges, identify new opportunities for product enhancement, and drive continuous improvement.
- User-Centric Mindset: Deep empathy for users, with a knack for understanding their needs and translating them into data-driven solutions that provide measurable value.
What Makes You Stand Out
- Data Visualization & Reporting Tools: Experience with Grafana, business intelligence (BI) tools, and KPI reporting systems to monitor and visualize product performance.
- Big Data Platforms & Industrial IoT: Exposure to big data platforms, machine connectivity, IoT systems, or similar industrial data environments that facilitate large-scale data processing and analysis.
- Manufacturing Systems Knowledge: Familiarity with Manufacturing Execution Systems (MES), Material Requirements Planning (MRP), or Enterprise Resource Planning (ERP) systems to support product integration and user needs.
- Manufacturing Metrics Expertise: Understanding of key manufacturing metrics, such as Units Per Hour (UPH), yield rates, downtime tracking, and the financial implications of these metrics on operational efficiency.
How We Will Support You
- Innovate with Impact: Be part of a team developing transformative data products that optimize and revolutionize manufacturing operations globally. Your work will directly impact efficiency, sustainability, and growth for some of the world's leading industrial companies.
- Collaborative Environment: Join a passionate, multidisciplinary team that values innovation, open communication, and teamwork. We foster a culture of continuous learning, mutual respect, and cross-functional collaboration, empowering everyone to contribute meaningfully.
- Growth & Development Opportunities: Advance your career through hands-on experience in product leadership, data-driven decision-making, and technical innovation. Arch supports professional development with pathways for skill enhancement, leadership growth, and increasing product vision expertise.
- Equity & Ownership: Share in the company's success through equity ownership, aligning your personal success with Arch's mission and growth.
- Remote-First Flexibility: Embrace a remote-first work culture that provides flexibility and balance, supporting productivity and connection in a collaborative virtual environment.
Application Process
Please submit resumes in English. We encourage passionate applicants to apply, even if they don't meet every qualification. At Arch, we value authenticity and believe in hiring individuals as their full, unique selves. We're committed to fostering an environment where team members can leverage their strengths while continuously learning and growing. Don't let imposter syndrome hold you back-if you're excited about this opportunity, we'd love to hear from you!
About Arch Systems
At Arch Systems, we empower discrete manufacturing facilities with deep data insights that enable optimal efficiency, precise KPIs, and proactive decision-making. We work with leading manufacturers to integrate and optimize their data for actionable intelligence, fueling productivity and operational excellence.
Compensation Practices
Our commitment to equitable compensation is central to our values. We benchmark our compensation structure against competitive market rates, specifically using data from the San Francisco Bay Area, to ensure fair and transparent pay practices. Our structure comprises a base salary, performance-based incentives, and, where applicable, equity ownership to align with our long-term vision.
For US-based employees, our benefits package includes comprehensive healthcare options for both employees and dependents, retirement contributions, and other supportive resources for wellbeing and development.
International applicants who join through our trusted global partners will receive benefits specific to their region and will also be granted non-qualified stock options (NQSOs) from Arch Systems, enabling them to share in our company's success.
Remote Equal
Arch champions a remote-first work environment since its inception, promoting flexibility and inclusivity across all teams. While we welcome talent from diverse locations, we currently do not offer visa sponsorship.
Arch is committed to full compliance with regulations from the Office of Foreign Assets Control (OFAC) to ensure alignment with all applicable sanctions programs. This means we do not engage in transactions or employment practices that conflict with OFAC regulations, including the hiring of individuals residing in regions subject to US sanctions. East Coast Timezones preferred but not required.
