# Arul Srinivas > Senior Product Manager @ Kredos AI | Agentic AI | Payments & Messaging | Enterprise SaaS | Driven $15M+ ARR Profile: https://flows.cv/arulsrinivas Senior Product Manager building AI-powered products that have driven $15M+ ARR. I build enterprise products by pairing technical AI depth (multi-agent systems, LLM evaluation, recommendation platforms) with rigorous product craft in activation, retention, and UX, backed by a trained technical writer's eye for precision. At KredosAI, I joined as the Founding PM (employee #6) and evolved our single-tenant model into a multi-tenant AI recommendation platform for payment messaging, directly unlocking a multi-million dollar pipeline of telecom enterprises and scaling to 1M+ end users/day. I launched an AI-powered financial messaging API in partnership with FICO, establishing an additional major revenue stream, while adhering to strict API SLAs. I also own the strategic roadmap for our messaging and experimentation platform, and launched RCS messaging to boost payment rates 24% and CTR 3x. At Trovata, I owned onboarding, bank connectivity, and the Bank Accounts experience for an enterprise cash management product. I led the team to launch a unified multi-bank connector that boosted activations 22% and championed its spin-off into a standalone embeddable product for corporate bank portals, creating a $2M+ revenue stream. My team also launched Trovata AI, the first GenAI product for treasury teams, raising product-wide WAUs 8%. At GoSite, I led the 0-to-1 launch of our self-service checkout and subscription management flows, directly driving 11% MRR growth, and further recovering $800K+ in reactivated subscriptions through dunning improvements. "There's no such thing as a bad user; there are only bad products." --- Focus areas: Product Management, AI Product Management, Agentic AI, Multi-Agent Systems, LLMs, Agent Evaluation, Prompt Engineering, Recommendation Systems, Experimentation, Reinforcement Learning, Multi-Tenant Architecture, Enterprise SaaS, Payments, Messaging, Collections, Dunning, Onboarding, Activation, Product-Led Growth, Checkout, Billing Management, Subscription Management, API Products, User Research, UX Design, A/B Testing ## Work Experience ### Senior Product Manager (Founding PM) @ KredosAi Jan 2025 | Seattle, WA At KredosAI, we're using reinforcement learning and LLMs to personalize collections messaging and improve repayment outcomes for telecoms. I joined as the Founding PM to bring structure to product execution and shape the AI roadmap across messaging, experimentation, and enterprise readiness. I led a team of 5 devs to rearchitect our single-tenant AI models into a multi-tenant recommendation platform, scaling to 1M+ users/day and unblocking a multi-million dollar pipeline of enterprise telecoms. I launched an AI-powered messaging API in partnership with FICO, defining usage-based pricing logic and operational SLAs to ensure 99.9% reliability at 50K inference requests/day, creating an additional major revenue stream. I defined the 1-year strategic roadmap for our messaging and experimentation platform, benchmarking competitors and prioritizing RCS, boosting payment rates 24% and CTR 3x. I also scoped platform-wide Datadog alerting to reduce customer-reported issues 80%, and I'm currently leading a full UX overhaul of our web app (20 screens) with AI-assisted design in Figma, v0, and Claude Code. ### Senior Product Manager @ Trovata Jan 2022 – Jan 2024 | San Diego, CA Trovata is an enterprise cash management product with multi-bank connectivity for treasury and finance teams. As Senior PM, I owned onboarding flows, bank connection tooling, and the Bank Accounts experience. I steered a team of 5 devs and 1 designer to launch a unified multi-bank connector widget, boosting activations 22%, then championed its spin-off into an embeddable product for bank portals, creating a $2M+ revenue stream. I pioneered Trovata AI, the first GenAI product for treasury teams, prioritizing MVP use cases through user research and innovating chatbot features like SQL query inspection to improve user trust, raising WAUs 8%. I also launched Accounts 2.0, a feature revamp that introduced new bank account types and bank sync rules, based on user research with 6 enterprises, halving time-to-value and reducing churn 14%. ### Product Manager @ GoSite Jan 2021 – Jan 2022 | San Diego, CA GoSite is a B2B platform helping small businesses build websites, message clients, accept bookings, and get paid. As PM, I led the phased rollout of self-service checkout, free trial, and subscription management user journeys, optimized via A/B testing to drive product-led growth, generating 11% MRR increase and freeing the SMB sales team to focus on enterprise deals. I further revamped the card-declined user experience, recovering $800K+ in reactivated subscriptions. I also conducted extensive competitor research for the flagship site-builder and launched improvements that cut churn 25%. ### Concept Developer Intern @ Volvo Group Jan 2020 – Jan 2020 50% product management, 50% software development Interned with the Volvo Group Innovation Lab (Hub 335 in Mountain View, CA), in a fast-paced entrepreneurial environment. Helped develop the MVP for a new truck data simulation platform to enhance Volvo's truck ecosystem. This innovative service will remove barriers to access of high-fidelity truck data, thereby enabling faster software development of electromobility and smart-infrastructure applications for Volvo trucks. Job functions: - Studied user needs and business case - Applied design thinking principles to develop user stories - Estimated feature sizes and prioritized features for MVP - Built features with development team (Golang) - Data science: quantitatively analyzed immense datasets, and simulated new data (Python) ### Technical Writing Consultant @ Carnegie Mellon University Jan 2019 – Jan 2020 | Pittsburgh I worked at CMU’s Global Communication Center and helped 100+ college students (both 1st and 2nd language English speakers) write their technical reports, essays, research papers, dissertations, oral presentations, posters, statements of purpose, job cover letters and resumes. Before each hour-long session with a student, I identified and prioritized the most important areas in their current writing that were in need of improvement. Then, during each session, rather than simply fix these issues in my students’ writing, I would teach students learnable principles that they could consistently apply to become better writers. Thanks to the two months of extensive training I received as part of my job, I learned not only great writing techniques, but also a variety of pedagogical and persuasive techniques. These techniques allowed me to manage students in sessions more effectively, ensuring that they remained encouraged and enthusiastic about the writing process, while still receptive to my suggestions for revision. ### Undergraduate Research Assistant @ Purdue University Jan 2018 – Jan 2019 | Lafayette, Indiana Area Research in Purdue's Aether Lab of Fluid Mechanics, under Prof. Pavlos Vlachos. Worked on several projects that used principles of signal and image processing. Notably, I worked on a project in Particle Image Velocimetry (PIV), a state-of-the-art technique to visually study the flow of a fluid. Here, I undertook an elaborate solo project to create a highly-customizable PIV software. The software input Planar, Stereo, or 3D PIV images, processed these images using PIV techniques, and graphically output the velocity fields, as functions of time. The software was coded in Python, with the GUIs implemented using Tkinter. ### Undergraduate Teaching Assistant @ Purdue University Jan 2018 – Jan 2018 | West Lafayette, Indiana For ME 263 - Sophomore Design. This was a mechanical engineering course in which students form teams of 4 to ideate, design and prototype a product from scratch. My primary role was to co-conduct the Lab section where students actually applied their learnings from lecture to their design projects. I guided students in the completion of phases in the design process, from defining the problem, to brainstorming solutions, all the way to the prototyping stage. I graded their Deliverables, which were written reports for each stage, to assess teams' progress through the project. ### Product Design Engineer @ Cook Research Incorporated Jan 2016 – Jan 2017 | West Lafayette, Indiana - Designed, analyzed, and tested aortic medical devices like stents and endografts, in the 8-member Aortic Intervention team. - Eradicated a dangerous symptom, Limb Thrombosis, using ultrasound imaging and computational analysis of 200+ grafts. - Improved the ‘Frozen Elephant Trunk’ operation on the aorta with a redesigned graft to lower the risk to patients. - Remediated user complaints with Quality team and used a PLM software to document likely cause of 100+ device failures ## Education ### Master of Science - MS Carnegie Mellon University ### Master of Science - MS Carnegie Mellon University Silicon Valley ### Bachelor of Science (BS) Purdue University ### High School Vidya Mandir Mylapore ## Contact & Social - LinkedIn: https://linkedin.com/in/arulsrinivas - Email: mailto:arul@arulsrinivas.com --- Source: https://flows.cv/arulsrinivas JSON Resume: https://flows.cv/arulsrinivas/resume.json Last updated: 2026-04-16