Siddharth Jain
SIDDHARTH JAIN
Product Manager | AI Builder
Founding PM | hands-on, ownership, business
BITS Pilani (2014) | Postgraduate Maching Learning Fellowship, Plaksha (2021)

10+ years across software, design, data, and product. Most recently founding PM building an AI recruiter at Expertia AI (pre-Series A), with the likes of Reliance group as customers.

Formerly, Senior PM leading the learning outcomes product for enterprise programs at upGrad's Harappa Education, self-taught software dev at Auroville, and designer at Mu-Sigma.

Featured
Selected impact
  • Scaled from 2M to 30M candidates in ~2 years at Expertia.
  • Led enterprise implementation for 500+ recruiters at Reliance with a successful renewal. Also, highly sticky. Jul 2025: avg WAUs 86.2, MAUs 142. WAUs and MAUs chart for Jul 2025 View zoomed-in visual
  • Shipped AI features across voice calling, resume screening, agentic chat with candidate profile, and interview assistance.
  • Built growth and GTM systems from scratch: analytics, activation, CRM, and ads (100K+ USD topline contribution).
How I use AI day to day
  • A chief of staff to solve for my daily use cases using Claude - weekly coaching, researching and updating jobs as new context generates, and triaging emails. Uses MCP + skills + hooks.
  • I love Granola but their free plan hides notes >30 days old. So I built a skill that pulls every meeting into a local Obsidian vault from the desktop app on mac via a MCP, syncs to Drive, backs up to a GitHub repo, and lets me chat with the notes from Claude Code based on the folder structures set-up in granola. Daily auto-sync via a set of scripts.
  • Automation to add tasks from granola notes from any meeting directly to Linear via MCP and automations using Codex.
  • Playing around with openclaw exploring new use-cases - adding grocery to cart on instamart via telegram, auto-creating calendar blocks from my weekly planning sheet every Monday.
  • Custom claude skill to go through my apple notes from last 7 days and surface out any to-dos because i tend to scribble a bunch of stuff there.
  • For complex topics, I start with LLM conversations with claude to think through hairy problems and edge cases, then use NotebookLM audio overviews during walks to develop a deeper understanding, this one is to double-click on the architecture of a dynamically-adaptive app calibrated to the learner leveraging knowledge graphs to help get better grades in Cambrdige IGCSE and A levels.
  • Prototyping with Lovable building quick prototypes to convey ideas and also to test how far the tools can go (this is another wip proactive growth-oriented coach for voice-based conversations).
  • Exploring the implementation of LLM wiki from Karpathy for capturing insights from AI conversations (referrable in the future by AI) in a personal Obsidian because they get lost otherwise.
What I am optimizing for next

High-quality peers, small high-speed teams (seed to Series B), writing culture, and environments that benefit from AI tailwinds. I am especially interested in AI-first products, voice as interaction, wellness, and AI-hardware. I lean consumer, but enjoy business products too.

Earlier creative + builder work
Beyond work

Endurance athlete. Learning Hindustani vocals. silent-mind.com - explorations in calmer, more mindful experiences.