Technical Product Manager — 4+ years owning enterprise software platforms at Mercedes-Benz. Guided workflow UX, enterprise APIs and AI product strategy for 150+ users in 
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I'm a mountaineer. I've stood on Himalayan summits at sunrise after starting the climb at midnight — roped to a team, moving one careful step at a time through terrain where preparation decides everything.
It's the same discipline I bring to product work. Expeditions and enterprise platforms both reward honest risk assessment, ruthless prioritisation of what you carry, and trust built across a rope team that may not share your language — but shares your goal.
Off the mountain: football, tennis and fitness keep me sharp; UI/UX keeps me curious. I'm based in Stuttgart and speak English (native), German (professional, B2), Kannada (native) and Hindi (fluent).
Technical Product Owner for Mercedes passenger car and AMG programmes (2022–2026), coordinating OEM and Tier-1 supplier teams including Bosch, IAV and Schaeffler.
SW component engineers navigated complex rule sets, multi-stakeholder approval chains and data scattered across disconnected systems — causing duplicated work and costly documentation errors on series vehicle programmes.
Ran continuous discovery: stakeholder workshops, user interviews, engineering shadowing and ticket analysis. Translated findings into information architecture, wireframes and validated prototypes — then a single guided UI with contextual controls, part number trees and approval signature flows.
Users saw exactly what they needed at each workflow step. Manual error sources were eliminated by design, freeing engineers to focus on decisions instead of error prevention.
Release readiness and compliance checking depended on experts manually cross-referencing SW metadata, part numbers, test results, approval signatures and country-specific regulations.
Owned product strategy for AI use cases: defined the data structures, capture logic and frontend experience for automated compliance checking and predictive release readiness via chatbot — built on clean, traceable structured attributes.
AI features were built on a data foundation designed for them, not bolted on. Data quality and traceability work came first, making the AI outputs trustworthy enough for release decisions.
Four platforms, 1,600+ annual requests, 20+ electronic control units and cross-functional teams spanning engineering, operations, business and suppliers — with compliance deadlines that don't move.
Led the full delivery cycle in SAFe: 16 sprints per year across 4 PI planning cycles, outcome-based roadmaps, WSJF prioritisation, and compliance requirements translated into actionable backlogs.
Clear prioritisation plus predictable quarterly releases built trust with stakeholders in five countries — and reduced rework and delivery delays measurably.
stakeholders aligned across 5 countries| Metric | Number | Context |
|---|---|---|
| Process turnaround | 50% reduction | Core platform, SW integration release cycle |
| Time-to-market | 25% faster delivery | SW releases on Mercedes passenger car & AMG programmes |
| User base | 150+ active users | Across |
| Platform scope | 4 enterprise platforms | Owned end-to-end — discovery to adoption |
| ECU coverage | 20+ Electronic Control Units | Breadth of automotive SW scope |
| API integrations | 6+ sources (REST & Kafka) | Foundation for Mercedes AI platform |
| Systems connected | 7 systems | Data quality and traceability backbone |
| Annual throughput | 1,000+ / 600+ requests | Backlog scale managed per year (primary / secondary platforms) |
| Delivery cadence | 16 sprints / year | Across 4 SAFe PI Planning cycles |
| Tier-1 suppliers | Bosch, IAV, Schaeffler | Onboarding and adoption across OEM + supplier teams |
I'm a PM who works hands-on from research to pixels. Every workflow I've shipped went through this loop — usually more than once.
User interviews, engineering shadowing and ticket-data analysis — finding the friction users have stopped noticing.
Jobs-to-be-Done, opportunity solution trees and user story mapping turn observations into problems worth solving.
Information architecture and role-based journeys: each user sees exactly what their step needs — nothing else.
Wireframes to validated prototypes, tested with the people who'll live in the tool eight hours a day.
HEART metrics, usability testing and adoption tracking — design quality shows up in the numbers or it didn't happen.
Reconstructed and anonymised from the guided-workflow discovery at Mercedes-Benz.
“Thanks to his outstanding conceptual, creative and logical thinking, he finds and implements exceptionally effective solutions to any problems that arise, and consistently achieves excellent results.”
From the official interim employment reference (Zwischenzeugnis) for my Mercedes-Benz engagement, issued by Hays Professional Solutions GmbH — translated from German. The original carries the highest grading in German reference convention (“stets zu unserer vollsten Zufriedenheit”).
Looking for a Product Manager who pairs enterprise-grade delivery with user-centred design? Available from 1 July 2026 — Stuttgart, Berlin or Munich.
I reply within 24 hours, usually faster.
Prefer direct? arjun.srivatsa89@gmail.com · LinkedIn