BENGALURU · FULLTIME
Senior Product Manager - Data Platform
Arintra
Bengaluru · onsite · Posted 10d ago
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Section · 01
About this role
Responsibilities:
- Own the core data platform end-to-end: ingestion, pipelines, storage, and the analytics/reporting substrate every other product line builds on.
- Partner with engineering and data teams to turn raw operational and clinical data into a reliable, scalable foundation other SPMs and teams can build on top of.
- Define and own the metrics that describe platform health and value: data quality, latency, coverage, downstream adoption.
- Operate with a bias for action in ambiguous, often spec-less territory; a lot of what you build has no customer directly asking for it.
- Bring structured, analytical thinking to trade-offs between build velocity, data quality, and long-term scalability.
- Represent downstream consumers (product, DL, QA, CS) internally; build for how the platform will actually be used, not just what's architecturally clean.
- Drive build decisions with a clear ROI lens: size the cost/impact of a platform investment before committing, and track whether the bet paid off.
Requirements:
- 6+ years in product management, ideally with hands-on experience in data engineering, analytics, or analytics engineering before moving into PM.
- Proven track record of building or owning a significant component of a data platform - pipelines, ingestion, warehousing; not just consuming one.
- Strong analytical skills, ability to break down complex, multi-variable problems into structured, logical solutions.
- Deep understanding of prioritisation, trade-offs, and stakeholder management in fast-paced environments.
- Bias for action - moves on incomplete information rather than waiting for a clean spec.
- Excellent cross-functional communication.
Nice to have:
- Experience at a company where the data platform was actively being built/scaled, not inherited mature.
- Prior background as a data engineer, analyst, or analytics engineer.
- 6+ years as a PM; real PM years, not adjacent roles.
- Has built or owned a significant component of a data platform (pipelines, ingestion, warehousing, analytics), not just consumed one downstream.
- B2B/SaaS experience (2+ years minimum).
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Section · 02
Skills
Section · Company
About Arintra
Arintra
11-50
employees
2020
6 years old
Austin
US
About
US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using AI and clinical NLP. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention.
Arintra solution is specifically tailored to cater to the varying requirements of ambulatory and outpatient specialties, emergency department services, and inpatient settings, ensuring comprehensive coverage across all healthcare domains.
Arintra’s software leverages proprietary artificial intelligence and natural language processing algorithms to process patient charts directly from the EHR to create a direct-to-billing claim. Arintra autonomously goes through every stage of the claim submission process and ensures a clean claim for optimal reimbursements without any human intervention. Arintra is integrated with all the top EHRs to ensure effortless implementation without any change in the workflow.
Arintra’s medical coding software offers two powerful modes for medical coding: autonomous coding mode and assisted coding mode. In autonomous coding mode, direct-to-billing claims are generated autonomously with high accuracy, streamlining the billing process for healthcare provider organizations. Whereas, assisted coding mode allows medical coders to meticulously review and optimize charges before submission, leading to increased efficiency and precision in the coding process. With Arintra, healthcare provider organizations can rely on precise direct-to-billing claims that include essential codes like E/M levels, CPT, ICD-10, HCC, HCPCS with appropriate modifiers and units.
Arintra’s coding solution provides extensive coverage and flexibility, catering to various coding domains such as professional coding, professional-fee coding, facility coding, and inpatient coding.
Industries
Employee ratings
7 reviews
Culture
2.0
Career growth
2.0
Work-life
1.6
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