Senior Product Manager – Analysis Physical Layer

As the Product Manager for Analysis (Physical Layer), you will own the product that transforms raw sensor indications into reliable, map-ready intelligence.

This product sits at the heart of Exodigo’s workflow: it ensures that field data becomes a consistent, high-quality Physical Layer that mapping, algorithms, and customer-facing products depend on.

You will define the product vision, quality standards, and data handover interfaces; work closely with domain experts, Signal Leads, and R&D; and drive the roadmap that improves accuracy, automation, and operational efficiency.

This role is highly cross-functional and ideal for someone who thrives at the intersection of data, geospatial workflows, machine learning, and field operations.

What You Will Do

Product Ownership & Strategy

• Own the end-to-end roadmap for the Analysis product, prioritizing features and algorithm work based on business impact and technical feasibility.
• Define what the Physical Layer must deliver to downstream mapping and platform teams, including structure, attributes, and confidence scoring.
• Translate domain workflows (field → sensor indications → analysis outputs) into clear product requirements and engineering stories.

Quality, Validation & Data Standards

• Set quality gates and validation rules, including acceptance criteria, numeric thresholds, and the balance between automated vs. manual checks.
• Define the Analysis → Mapping handover package: required files, formats, CRS/versioning, confidence metrics, PQA summary, and known-issues documentation.
• Establish and maintain data standards that ensure consistency and reliability at scale.

Collaboration & Execution

• Work closely with Signal Leads and R&D to define epics, experiments, and measurable success criteria (e.g., precision/recall targets).
• Partner with FieldOps and Mapping teams to collect feedback, understand workflows, and iteratively improve the product.
• Support pilots, new capabilities, and production rollouts to ensure smooth adoption.

KPIs & Operational Excellence

• Define and track key product metrics (e.g., Automation Yield, Re-Analysis Rate, Acres per Day) and report progress to product and operations leadership.
• Identify error modes, edge cases, and remediation paths, including how manual corrections feed back into model improvement.

• 6+ years of relevant experience in product management, software engineering, technical program management, or a similar role.
• 3+ years of experience as a Product Manager for B2B SaaS, data platforms, or analytics products.
• Hands-on experience with sensor data, geospatial data, or signal-processing workflows (experience with GPR/EM/LiDAR is a strong plus).
• Proven ability to write clear, detailed product specifications and translate domain requirements into engineering deliverables.
• Experience setting quality gates, defining validation pipelines, and enabling high-scale product quality.
• Strong collaboration skills across R&D, operations, and domain experts.
• Solid understanding of data formats, APIs, versioning practices, and production reliability.
• Strong analytical skills and comfort defining and interpreting KPIs.
• Excellent communication skills with technical and non-technical stakeholders.
• Familiarity with modern product tools (Jira, Aha!, Figma or similar).

Nice to Have

• Background in geospatial systems (GIS), CAD/DWG workflows, BIM, or digital twin concepts.
• Experience with machine-learning pipelines and feedback loops from manual corrections to model retraining.
• Bachelor’s degree in engineering, computer science, geospatial sciences, or a related field.
• Experience with infrastructure, utilities, or construction environments.