SB
Spandana Bala
AI Product Manager
Hyderabad · India
Now at · Microsoft
Lead, build, and ship AI-powered products in a world reshaped by autonomous agents. Master LLM-feature PRDs, RAG requirements, agentic workflow design, AI evaluations, and Responsible AI governance.
Master AI UX design with Figma AI, v0.dev, and Lovable — confidence indicators, progressive disclosure, graceful failure, human override. Apply the four pillars of Responsible AI (Fairness / Accountability / Transparency / Explainability) and navigate GDPR, India’s DPDP Act, and the EU AI Act. Close with the most senior skill in the discipline — using AI to grade AI through eval frameworks for RAG and agentic workflows, MLOps handoff, shadow mode, gradual rollout, and the data flywheel that makes your product smarter post-launch.
Three full-production projects, each threaded through the entire curriculum. By the capstone, you've built the whole stack around them.
Validate, prototype, and ship a working agentic product — PRD, v0 build, eval harness, and a GTM plan that survives a real exec review.
Build a 6-quarter roadmap for an internal AI copilot serving sales/support/eng — feature prioritization with RICE+AI, capability gating, build-vs-buy framework, and an executive narrative deck.
Stand up the experimentation framework for an agentic feature: north-star metric, leading indicators, A/B test design, eval harness, and a dashboard that tells the story to GTM and engineering.
Pick a real partner problem. Validate, prototype, and ship a working AI agent product — PRD, v0 build, eval harness, GTM plan — into a partner team that's actually using it.
Manikanta is the founder of Digital Lync and brings 15 years of product leadership across AT&T, Salesforce, Cox Communications, and Broadcom — where he led B2B SaaS, internal platform, and consumer product launches for Fortune-500 banks, telcos, and insurers. Most recently he architected agentic-product practices that took AI copilots and autonomous agents from PRD to production.
His classes get you two things other programs don't give you: a founder-PM who has actually shipped AI products inside Fortune 500s, and a curriculum rewritten every quarter — so when hiring managers ask about agent evals, RICE+AI prioritization, or usage-based pricing, you've already done it. M.S. in Engineering, Purdue University.
Ravi is Chief Technologist at Digital Lync, where he leads the AI product and evaluation practice. After 8 years shipping AI products inside Fortune 500 enterprises — copilots, retrieval systems, and autonomous agents — he stepped into the Chief Technologist seat to wire eval frameworks, agent UX patterns, and usage-based pricing into the way product teams actually ship: PRDs that account for non-determinism, golden datasets that catch regressions before users do, and dashboards that tell GTM the truth about agent quality.
His AI PM modules are built from real production post-mortems, not slide decks. Expect to leave with working PRDs for agentic features, eval harnesses, pricing models, and a discovery + GTM playbook you can run on day one. Ten years at Digital Lync, eight of them shipping AI products in production — Hyderabad-based, hands-on, and known for the rigor of agent evals other programs skip.
Real feedback from product leaders at AI-first companies and the firms hiring our AI Product Owner graduates.
Digital Lync grads ramp 40% faster on AI product launches than typical PM hires. Best AI product management pipeline in India.
We've onboarded 80+ Digital Lync alumni in 18 months. Lowest ramp time we've seen for AI product roadmaps and agent eval practices.
The AI Product Owner programme is comprehensive — discovery, PRDs, evals, GTM. Grads come pre-trained for agentic-era enterprise work.
Their AI PRD + eval harness track produces PMs who write production-grade specs on day one. Rare combination of strategy and rigor.
What sets Digital Lync apart is the agentic product layer baked into the AI PM track. Our enterprise clients ask for exactly this profile.
Their AIPMM + Pragmatic AI Product Owner prep is rigorous, and the shipped capstone — PRD, v0 build, eval harness — is what closes interviews for us.
Digital Lync's AI PMs ship validated PRDs twice as fast in the first 90 days. Our internal product metrics back this up clearly.
Best AI product management pipeline we've sourced from in India. Their capstones are real shipped products, not pitch decks.
Strong B2B SaaS and internal platform PM foundation. Their AI PO grads need almost zero ramp time on enterprise product engagements with us.
We've placed 40+ Digital Lync alumni across our AI product and watsonx PM teams. Strong fundamentals, sharp on eval and GTM.
AI roadmaps + agent evals is exactly the talent gap we've been struggling to close. Digital Lync is filling it for us reliably.
Their AI PM track delivers product owners who navigate discovery, PRDs, and GTM on customer engagements unsupervised.
Hired 25+ Digital Lync graduates for our AI product practice. Strong on PRDs, sharp on agent UX, fluent in eval frameworks.
Digital Lync grads who blend AI roadmaps with Azure OpenAI evals land production-ready on day one. Rare combination, well-trained.
Guidance on building a portfolio that showcases your shipped PRDs, v0 prototype, eval dashboard, GTM plan, and a public verification URL — reviewed 1:1, not via template.
A one-page resume rebuilt around the AI products you shipped (agent products, AI copilots, eval harnesses), the partner-org capstone, and the business outcome. Reviewed by PMs who've read 10,000+ resumes.
Profile tuning plus direct warm introductions into B2B SaaS and AI-first companies — Microsoft, Adobe, Salesforce, Atlassian, Notion, Linear, Anthropic, Hugging Face, Databricks, Snowflake, Stripe, Razorpay, Freshworks, Zoho, Postman. You leave with recruiter contacts, not a generic "good luck."
One flagship campus in Hyderabad, plus online AI Product Owner cohorts running on Indian and US timezones.
Straight answers on prerequisites, the AI PM stack, certifications, and placement. If something's missing, book a 20-minute advisor call — no slides, no pitch.
Still have a question? Talk to an advisor — no slides, no pitch.
Book a 20-minute advisor call. We'll walk through the curriculum, match it to your current role, and show you two real capstones from class 022.
