Ash Rai

Product Manager

United Kingdom8 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

7+ years of experience in product management.
Expertise in AI, Cloud, and SaaS industries.
Proven track record in leading successful tech products.

Stackforce AI infers this person is a Product Manager with expertise in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

Cloud ComputingApisProduct ManagementArtificial IntelligenceData ScienceFull-stack DevelopmentFintech

Other Skills

Microsoft AzureAzure DatabricksTerraformKubernetesB2B SoftwareUser Experience (UX)SQLMachine LearningSoftware as a Service (SaaS)DevOpsProject ManagementData AnalysisConversion OptimizationKey Performance IndicatorsA/B Testing

About

I’ve been a PM for 7+ years, mostly at early- and growth-stage startups where I’ve worked on AI, Cloud, SaaS, EdTech, and Automation, sometimes all at once. I studied Computer Engineering, a noble profession where you're given 2 volts, a compiler, and told to make a rocket. Now I’m a PM, and somehow still doing the same thing. I live for indie/open-source projects that make life easier for actual humans and buy them back a few precious hours to be weird and wonderful. I'm always excited to learn, even if it means going into territories like UX and Engineering. Let me know if I can support you or if you'd like me to join you for the next project

Experience

8 yrs 5 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 4 mos

Current Experience

Flagstone

Technical Product Manager (Lead)

Feb 2025 – Present · 1 yr 4 mos · London Area, United Kingdom

Cloud, Distributed systems, APIs, Integrations, Event-driven architecture, Data architecture, Data pipelines, AI, Identity, Security, Fintech

Microsoft AzureAzure DatabricksTerraformKubernetesCloud ComputingAPIs

Sofy.ai

Founding Product Manager

Oct 2022 – Jan 2025 · 2 yrs 3 mos · Seattle, Washington, United States

Sofy uses AI and Machine Learning to automate mobile app testing and allows you to generate test cases without writing a single line of code. As an early-stage startup, it already generates $4 million in annual revenue.
My work involved:
1. Improving accuracy Sofy.AI's core ML algorithm, developing User permissions systems, SSOs, Integrations, APIs, Security, Accessibility-testing, LLM & Generative AI-based automations. Initiatives focused on taking a product 0-to-1 in a new market, expanding our product line and using AI + Automation to make software development faster.
2. Improve the trial user experience & conversion rate optimizations to improve retention & engagement

B2B SoftwareUser Experience (UX)Product ManagementSQLArtificial IntelligenceMachine Learning+16

Max planck institute for informatics

Researcher

Mar 2019 – Oct 2019 · 7 mos · Germany · On-site

Awarded the DAAD scholarship and invited to Germany for a study program in AI, Cryptography and Security. DAAD selection process is highly competitive, and its alumni include several Nobel Prize winners such as Günter Blobel, Wolfgang Ketterle and Leo Hoffmann-Axthelm.

Upgrad

Senior Product Manager

Nov 2018 – Sep 2022 · 3 yrs 10 mos

UpGrad is the largest EdTech in SE Asia with an annual revenue of $250 million and 10 million+ consumers.
1. Led UpGrad's Tech portfolio and managed 6 end-to-end products (Technology, Data, Machine Learning) catering to over 10,000+ consumers every year.
2. Led product development teams, including 3 PMs, 3 Associates, and Engineers and led the expansion of our tech products to North America & UK. Me & my team led UpGrad's flagship products in Blockchain, Cloud, AI, Data Science, DevOps, Machine Learning.

User Experience (UX)Product ManagementDevOpsCloud ComputingBlockchainUser Stories+8

Edgeverve

Full Stack Engineer

Jul 2016 – Jul 2017 · 1 yr

Owned end-to-end Peer to Peer Transactions of their FinTech platform used in 50+ countries using Angular, NodeJS & PostgreSQL

SQLPostgreSQLAngularJSFinTechNode.jsFull-Stack Development

Samsung electronics

AI & NLP Engineer

May 2015 – Jul 2015 · 2 mos

Developed a Java application focused on the extraction and parsing of temporal expressions in common English sentences. Using a probabilistic and Expectation-Maximization approach, I worked on improving the usability and effectiveness of Stanford's CoreNLP parser ("SUTime") and integrated it with Samsung's internal mobile applications such as Alarms, Reminders & Calendar.