Product Manager

Pearl Street Technologies, Inc.

Calgary

On-site

CAD 90,000 - 130,000

Full time

5 days ago
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Job summary

Enverus is seeking a highly driven Product Manager to strengthen the world’s leading Power Infrastructure data platform. You will own the data manufacturing process for substations, transmission lines, and grid infrastructure, collaborating with engineering, analysts, and customers to turn opportunities into measurable improvements.

The role focuses on discovery through delivery, building deep domain expertise in Power Infrastructure and becoming the product leader for this area within Enverus.

Qualifications

  • 4 - 6 years of relevant product, data, analytical, energy, or technology experience.
  • Ability to turn ambiguous problems into concrete plans and shipped outcomes.
  • Strong analytical curiosity with complex datasets.
  • Experience partnering with engineering or data teams.
  • Independent research of markets, customer needs and data sources.

Responsibilities

  • Own the product vision and roadmap for Power Infrastructure data.
  • Manage end-to-end data manufacturing: discovery, ingestion, transformation, enrichment, validation, delivery.
  • Collaborate with adjacent data, analytics teams to ensure integrated views for forecasting and siting workflows.
  • Define business logic, enrichment rules, and derived attributes for trusted datasets.
  • Identify and evaluate new data sources from ISOs, utilities, regulatory filings and public datasets.
  • Translate customer workflows into clear data priorities and drive delivery.
  • Partner with engineering to define requirements and drive initiatives.
  • Use AI and modern tools to accelerate data manufacturing and quality control.
  • Establish measures for data accuracy, coverage, freshness, reliability.

Skills

Product management
Ambiguity to delivery
Data analysis
Engineering collaboration
Market research
Customer focus
Communication
Bachelor’s or advanced degree

Education

Bachelor's or advanced degree in Engineering, CS, Economics, Energy, Finance

Tools

SQL
Python
AI-assisted analysis

Job description

Description

Why YOU want this position

At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.

We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.

The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities, to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.

Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.

We are seeking a highly driven Product Manager to strengthen and extend Enverus' position as the authoritative system of record for Power Infrastructure data.

This role will own the data manufacturing process for foundational Power Infrastructure datasets across areas such as substations, transmission lines, points of interconnection, and related grid infrastructure. You will work closely with engineering, market experts, customers, analysts, and adjacent product teams spanning foundational power data, forecasting and economics, and project siting to understand how infrastructure data is used, identify gaps in our current products, discover new sources, and turn those opportunities into measurable improvements.

This is an execution-oriented product role for someone who enjoys digging into ambiguous problems and taking them from discovery through delivery. We are looking for someone who will develop deep expertise in Power Infrastructure and become the clear product leader for this area within Enverus.

What you will do

  • Own the product vision and roadmap for Enverus Power Infrastructure data, including substations, transmission lines, points of interconnection, and related grid infrastructure.
  • Own the end-to-end data manufacturing process for Power Infrastructure, from source discovery and ingestion through transformation, enrichment, validation, and delivery.
  • Partner closely with adjacent foundational-data and analytics teams to ensure Power Infrastructure data connects into a coherent view of the power system and supports downstream forecasting, economics, and project-siting workflows.
  • Develop a deep understanding of the quality, coverage, lineage, and limitations of existing infrastructure datasets.
  • Proactively identify and evaluate new data sources from ISOs/RTOs, utilities, regulatory filings, public datasets, commercial sources, and other industry information.
  • Define the business logic, enrichment rules, and key derived attributes required to turn raw source data into trusted, decision-ready datasets.
  • Determine how disparate and sometimes conflicting sources should be reconciled and combined into authoritative datasets.
  • Translate customer workflows and business needs into clear priorities for data acquisition, enrichment, automation, and quality improvement.
  • Partner closely with engineering to define requirements, prioritize work, and drive initiatives from discovery through production.
  • Use AI and modern development tools to materially accelerate and improve the data manufacturing process, including source discovery, data extraction, transformation, enrichment, validation, and quality control.
  • Transform the data manufacturing pipeline toward automated, scalable pipelines with repeatable business logic, entity resolution, and measurable validation.
  • Establish clear measures for data accuracy, coverage, freshness, and reliability and use those measures to prioritize investment.
  • Work directly with customers, internal analysts, commercial teams, and subject-matter experts to understand how Power Infrastructure data is used and where Enverus can create differentiated value.
  • Act as the internal product expert for Power Infrastructure and clearly communicate current capabilities, gaps, priorities, and future direction.
  • Consistently identify new opportunities and drive them forward without requiring detailed direction from leadership.

What skills you should have

  • 4 - 6 years of relevant product, data, analytical, energy, or technology experience.
  • Demonstrated ability to take ambiguous problems and turn them into concrete plans and shipped outcomes.
  • Strong analytical curiosity and comfort working directly with complex, imperfect datasets.
  • Experience partnering closely with engineering or data teams.
  • Ability to independently research markets, customer needs, and data sources rather than relying solely on assigned requirements.
  • Strong ownership mentality and bias toward action.
  • Proven problem-solving skills with an ability to synthesize complex information and communicate it clearly to technical and non-technical audiences.
  • Strong customer orientation and interest in understanding how users make decisions with infrastructure data.
  • Bachelor's or advanced degree in Engineering, Computer Science, Economics, Energy, Finance, or a related field.
  • Excellent interpersonal and communication skills, strong attention to detail, self-motivated with a strong work ethic and bias toward action.

Skills that stand out

  • Experience with North American power markets, utilities, transmission, grid infrastructure, geospatial data, or energy is preferred but not required.
  • Technical fluency with SQL, Python, data tools, or AI-assisted analysis.
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