Senior Product Manager - Tooling and Telemetry at Arcadia

Chennai, Tamil Nadu, India

Arcadia Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Energy, Utilities, SustainabilityIndustries

Requirements

  • Bachelor's or Master's degree
  • Proven track record of creating applications for internal teams that boost productivity and improve delivery quality
  • Self-starter and systems thinker who enjoys breaking down complex problems into smaller, iterative steps
  • Experience collaborating frequently with engineering, data entry, data science, and cross-functional teams like customer success and operations

Responsibilities

  • Create and own the product roadmap for your charter, aligning it with the overall business and product strategy to help build and scale Arcadia's energy data products
  • Define, prioritize, and build product initiatives and features that improve the scale, quality, and reliability of data systems, tools, and applications
  • Develop internal tools and telemetry applications to address pain points for the operations, customer support, and QA teams involved in timely and accurate data delivery
  • Troubleshoot issues in the core data delivery pipeline and provide insights and visibility on performance metrics
  • Work with other teams and operations to embed AI pipelines/capabilities into tools to eliminate manual processes
  • Write clear and detailed product requirements that are easily understood by both technical and non-technical audiences
  • Collaborate and co-ordinate for dependencies with engineering, operations, and data science to deliver products on time
  • Regularly check with cross-functional team stakeholders to gather requirements or address pain points that can be solved by your squad
  • Constantly monitor and provide updates on the progress of initiatives to all relevant stakeholders and the leadership team
  • Champion the use of AI tools (e.g., Gemini, Cursor) to drive productivity improvements within your team

Skills

Product Management
Telemetry
Internal Tools
Data Platforms
Utility Data
Energy Management
AI Analytics
Platform Development

Arcadia

Data-driven healthcare solutions and analytics

About Arcadia

Arcadia focuses on improving healthcare outcomes through data-driven solutions in the healthcare sector, particularly in population health management. The company analyzes and manages the health outcomes of groups of people, serving clients such as healthcare providers, insurance companies, and government agencies. Its main product is a data platform that uses big data technology to process and store large volumes of healthcare data, allowing organizations to access and analyze this information effectively. This leads to better decision-making and enhanced patient care. Unlike many competitors, Arcadia offers a comprehensive suite of tools and consulting services that help clients optimize their use of the platform, particularly in areas like STARS HEDIS and risk adjustment accuracy. The goal of Arcadia is to improve efficiency in healthcare delivery, reduce disparities, and achieve better health outcomes for populations.

Boston, MassachusettsHeadquarters
2002Year Founded
$28.7MTotal Funding
DEBTCompany Stage
Consulting, HealthcareIndustries
501-1,000Employees

Benefits

Flexible Work Hours
Unlimited Paid Time Off

Risks

Integration challenges from CareJourney acquisition may disrupt operations.
Departure of former CTO Jonathan Cook could impact Arcadia's innovation.
Intensifying competition in healthcare data analytics threatens Arcadia's market share.

Differentiation

Arcadia integrates CareJourney's market intelligence for comprehensive healthcare insights.
Arcadia's platform offers real-time data analysis for improved healthcare decision-making.
Arcadia's generative AI assistant enhances care team efficiency and reduces burnout.

Upsides

Arcadia's acquisition of CareJourney expands its customer portfolio to nearly 200.
The healthcare data market is projected to triple by 2030, benefiting Arcadia.
Arcadia's AI assistant boosts productivity by reducing data interpretation time.

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