Prathyusha Vedula

Product Manager with ~6 years of experience building AI-native enterprise SaaS products from discovery through 0→1 launch and iteration, including defining evaluation frameworks, guardrails, and confidence-routing systems for AI-powered platforms. Currently an AI Product Manager at Arintra, owning autonomous AI agents and working directly with AI engineers, data scientists, and cross-functional teams. Previously at MiQ, led deep multi-market user research, product strategy, design sprints, roadmap prioritization, 0→1 delivery and GTM for a global platform used across 10+ countries.

AI Product Manager at Arintra (HealthcloudAI Labs) (2026-02 – Present)

Arintra replaces error-prone manual medical coding with autonomous AI coding — improving claim accuracy, reducing denials, and cutting turnaround time so healthcare organizations get paid faster.

• Own and build the autonomous AI agent for procedure coding — converting unstructured clinical documentation into validated, submission-ready medical codes — with full ownership from research through release and monitoring in a high-ownership, fast-learning environment.
• Led discovery and architected the procedure/CPT coding AI agent — spoke directly with VPs of Revenue across hospital systems, ran user interviews and market/competitive analysis, then evaluated a custom multi-step pipeline, single large model, and multi-agent framework against accuracy, cost, latency, and scalability; built the benchmarking framework used to select and continuously improve the production approach.
• Built offline evals to gate releases, online evals to monitor production quality, and inline guardrails to catch issues in real time; built an LLM-as-a-judge evaluation pipeline to score agent outputs against quality rubrics — iterating on prompts and tracking precision/recall and F1 to drive continuous improvement.
• Spotted the opportunity for and built Clinical Documentation Improvement (CDI) from scratch — a 0→1 AI product that flags documentation gaps before claim submission and routes clarifying questions back to providers; prototyped rapidly with Claude in place of a dedicated designer.
• Designed the confidence-routing framework determining automated vs. human-reviewed cases, increasing automation accuracy from 88% to 95%; separately drove a 90%→95% submission-rate initiative projected to add $0.5M in ARR.
• Write PRDs and lead sprint planning and backlog grooming with engineering across the coding pipeline, CDI, and procedure-coding workstreams — keeping priorities and dependencies clear for a fast-moving 0→1 roadmap.

Global Product Manager at MiQ (2022-10 – 2026-02)

MiQ Sigma is MiQ's global advertising & data-intelligence platform, used across 10+ countries.

• Led global user research to re-strategize the product and evaluate AI opportunities — ran interviews and surveys with users across the US, Canada, UK, Australia, China, and Singapore, tracking NPS; synthesized findings using Dovetail and Perplexity, built user personas, and ran cross-functional design workshops to turn insights into themes and opportunities.
• Turned research into prioritized opportunities and trade-offs that shaped the 6–12 month product roadmap; defined success metrics and partnered with product marketing on go-to-market and release strategy — lifting feature adoption 10% and shipping 0→1 features that improved workflow automation and financial accuracy by 30%, saving users 15+ hrs/month.
• Built MiQ's first AI-powered Trading Agent, a human-in-the-loop assistant that cut client task turnaround from 3+ hours to ~2 seconds (90%+ time saved), partnering directly with engineering and data science to define scalable architecture aligned to advertiser ROI and CX.
• Owned product for Sigma's integration layer: 12+ DSP integrations and 8 core APIs spanning data push/pull, insights, monitoring and reporting, plus an AI capability that built custom third-party audience segments from natural-language prompts.
• Drove Sigma's migration from legacy to modern architecture, partnering with design on UX/UI and factoring cross-country cost and pricing considerations across 10+ markets.
• Product-owned the Salesforce financial-audit integration, reconciling platform metrics such as conversion rates and end-of-month revenue against Salesforce and owning RCA and fixes when discrepancies arose.
• Wrote PRDs and led sprint planning, backlog grooming, and cross-functional syncs with engineering, design, and data science across Sigma's 10+ country rollout — keeping delivery on track and priorities aligned across a multi-stakeholder, agile team.
• Rolled out a privacy-first firewall for U.S. political advertisers, securing $80M+ in ad spend in one quarter.

Associate Product Manager at LeadSquared (2022-05 – 2022-09)

• Developed a 0→1 reporting product (SIERA), partnering with design, engineering and sales to gather user insights and shape the roadmap.

Software QA Engineer at Cognizant Technology Solutions (2020-01 – 2022-05)

• Built QA and testing foundations that later informed a rigorous, evidence-first approach to shipping product.

Bachelor of Technology in Chemical Engineering – Jawaharlal Nehru Technological University (JNTU), Kakinada (2016 – 2020)