[Remote] Product Manager, Product Intelligence, Evals & Telemetry
Note: The job is a remote job and is open to candidates in USA. Machinify is a leading healthcare intelligence company focused on delivering value and efficiency to health plan clients. They are seeking a Product Manager, Product Intelligence, Evals & Telemetry to build and scale the analytical backbone of their Pay platform, transforming data into insights that enhance innovation and customer ROI.
Responsibilities
ā¢ Own the end-to-end vision and roadmap for product analytics, telemetry, and AI evaluation infrastructure
ā¢ Define canonical event schemas, metric definitions, and data contracts for capturing user behavior, workflow performance, model outputs, and business outcomes
ā¢ Partner with Data Engineering to design scalable data pipelines, storage, and transformations that ensure high-quality, low-latency, and trustworthy product data
ā¢ Partner with Data Science to design offline and online evaluation frameworks for AI/ML features (e.g., golden datasets, automated scoring)
ā¢ Specify and drive internal tooling (dashboards, exploration tools, alerting, experimentation platforms) that enable fast diagnosis and informed product decisions
ā¢ Translate customer and operational pain points into measurable hypotheses, experiments, and product requirements
ā¢ Drive continuous improvement loops: instrument ā measure ā learn ā ship ā validate
ā¢ Influence product strategy through evidence-backed insights and clearly articulated trade-offs
ā¢ Lead cross-functional execution, aligning engineering, data, design, and operations around shared outcomes
ā¢ Develop deep understanding of Machinify Pay's architecture and data flows to assess feasibility, sequencing, and technical risk
Skills
ā¢ 5+ years of Product Management experience building technically complex, data-intensive, or AI-powered products. Exceptional early career professionals welcome
ā¢ Demonstrated ownership of product analytics, telemetry, experimentation, or evaluation systems
ā¢ Strong technical fluency: able to reason about data models, event pipelines, APIs, ML evaluation approaches, and system architecture
ā¢ Experience working closely with Data Engineering and Data Science on platform-level capabilities
ā¢ Track record of balancing short-term impact with long-term platform investments
ā¢ Comfort translating ambiguous problems into clear technical and product requirements
ā¢ Strong UX instincts and experience partnering with Design on data-heavy workflows
ā¢ High ownership, bias to action, and ability to drive initiatives from concept to measurable impact
ā¢ Excellent written and verbal communication and strong stakeholder management skills
Company Overview
ā¢ Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.machinify.com.
Company H1B Sponsorship
ā¢ Machinify has a track record of offering H1B sponsorships, with 12 in 2025, 6 in 2024, 3 in 2023, 3 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
Responsibilities
ā¢ Own the end-to-end vision and roadmap for product analytics, telemetry, and AI evaluation infrastructure
ā¢ Define canonical event schemas, metric definitions, and data contracts for capturing user behavior, workflow performance, model outputs, and business outcomes
ā¢ Partner with Data Engineering to design scalable data pipelines, storage, and transformations that ensure high-quality, low-latency, and trustworthy product data
ā¢ Partner with Data Science to design offline and online evaluation frameworks for AI/ML features (e.g., golden datasets, automated scoring)
ā¢ Specify and drive internal tooling (dashboards, exploration tools, alerting, experimentation platforms) that enable fast diagnosis and informed product decisions
ā¢ Translate customer and operational pain points into measurable hypotheses, experiments, and product requirements
ā¢ Drive continuous improvement loops: instrument ā measure ā learn ā ship ā validate
ā¢ Influence product strategy through evidence-backed insights and clearly articulated trade-offs
ā¢ Lead cross-functional execution, aligning engineering, data, design, and operations around shared outcomes
ā¢ Develop deep understanding of Machinify Pay's architecture and data flows to assess feasibility, sequencing, and technical risk
Skills
ā¢ 5+ years of Product Management experience building technically complex, data-intensive, or AI-powered products. Exceptional early career professionals welcome
ā¢ Demonstrated ownership of product analytics, telemetry, experimentation, or evaluation systems
ā¢ Strong technical fluency: able to reason about data models, event pipelines, APIs, ML evaluation approaches, and system architecture
ā¢ Experience working closely with Data Engineering and Data Science on platform-level capabilities
ā¢ Track record of balancing short-term impact with long-term platform investments
ā¢ Comfort translating ambiguous problems into clear technical and product requirements
ā¢ Strong UX instincts and experience partnering with Design on data-heavy workflows
ā¢ High ownership, bias to action, and ability to drive initiatives from concept to measurable impact
ā¢ Excellent written and verbal communication and strong stakeholder management skills
Company Overview
ā¢ Machinify is a SaaS platform that enables non-technical enterprises to build AI-powered products and processes. It was founded in 2016, and is headquartered in Palo Alto, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.machinify.com.
Company H1B Sponsorship
ā¢ Machinify has a track record of offering H1B sponsorships, with 12 in 2025, 6 in 2024, 3 in 2023, 3 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now