Sr Product Manager

SureBright (Y Combinator S24) is building the world's first AI-native warranty company. We protect what people buy, from electronics and furniture to e-bikes and home systems. Retailers, brands, installers, and shoppers across the US and Canada use our warranties and protection plans online, in store, and after purchase. AI runs through everything we do: underwriting and pricing, claims, support, merchant onboarding, checkout, growth, and how we build. As more shopping moves to AI agents, we're building for that too.
We're a small, fast team, and this is a high-ownership, "do whatever it takes" role. You'll work directly with the founders, learn the full stack of a warranty and insurance business, and ship work that reaches real merchants and shoppers right away and directly moves revenue, conversion, and retention.
What you'll own
As our Senior Product Manager, you'll take messy, high-impact problems across our customers and channels and turn them into shipped product. You'll run discovery, set the strategy, design flows with our UI/UX designer, deliver with engineering, and improve the product based on data and customer feedback.
This is a hands-on role. You'll write the PRDs, draw the flows and wireframes, and set the acceptance criteria yourself. You'll run the full loop: insight, build, launch, learn, improve.
What you'll do
1. Discovery and research
Find the highest-impact problems for retailers, brands, installers, and shoppers, online, in store, and after purchase
Talk to customers and our ops team every week, and turn what you hear into clear opportunities
Study the market and tools, and decide when to build, buy, or partner
Map workflows end to end and find where they break
2. Product definition and design
Write clear PRDs: goals, non-goals, user stories, edge cases, and success metrics
Design journeys, flows, and wireframes yourself (fast iteration over perfect pixels)
Define event tracking so we can measure what matters from day one
Work with compliance, underwriting, and claims teams so rules, disclosures, and decisions are correct and auditable
3. AI across the product
Decide where AI adds the most value, and where a person should stay in control
Define what our AI agents do, what they must never do, and when they hand off to a person
Write evals and set quality bars before launch, then track them after
Design guardrails, audit trails, and human review for decisions that affect pricing, claims, and customers
Work closely with AI/ML engineers on models, agent workflows, tool use, and retrieval (RAG)
Make sure our products work well with the AI shopping and support agents people use
4. Execution and iteration
Run sprint planning and delivery with engineering: clear scope, quick decisions, smart tradeoffs
Own release quality: acceptance criteria, QA, launch plans, and rollbacks
Own your product's metrics (conversion, attach rate, retention, claims cycle time, CSAT/NPS)
Run experiments and use data and feedback to improve quickly
AI-first expectations
You use AI tools every day to move faster and think better:
Research and synthesis
Drafting PRDs, flows, copy, and specs
Building working prototypes with AI coding tools, not just slides
Testing AI output and knowing when not to trust it
What success looks like (first 90 days)
You ship 1 to 2 launches that improve a core metric
You set up a steady rhythm of customer calls, weekly insights, and a ranked roadmap
Your product area has clean tracking, a dashboard, and AI quality scores we review every week
Engineering ships faster because your specs are clear and your decisions are quick
Who you are
High agency: you turn ambiguity into action without waiting for direction
Customer-obsessed: you enjoy talking to users and you solve the real problem
Strong product taste and systems thinking: you design workflows that are simple, reliable, and scalable
Data-driven: you define metrics, read funnels, pull your own data, and make tradeoffs fast
Clear communicator and original thinker: you write crisp specs, align people fast, and create better patterns instead of copying old ones
Requirements
4+ years in product management (startup experience strongly preferred), or founder experience owning product end to end
A track record of shipping 0 to 1 products and improving them with data and feedback
Hands-on experience with AI or LLM products, or prototypes you built yourself
Comfortable writing SQL or pulling your own data
Full-time, in person in Gurgaon, India, 5 days a week
Available for regular evening calls (IST) with teams and customers in the US and Canada
Nice to have (not required)
Experience in e-commerce, checkout/CRO, retail or in-store, or post-purchase workflows
Experience in insurance, warranties, fintech, or other regulated products
Exposure to underwriting, pricing, or risk models
Experience with B2B2C products that serve both a business and its customers
This role is not for you if
Your PM experience is mostly project, program, or delivery management
You need a large team or detailed direction to get started
You're looking for a remote role
Why this role is special
Real breadth: every customer type, every channel, and AI in every part of the business, in one seat
Your work changes the company's trajectory, not just a feature
Career accelerant: if you perform, your scope and title will grow quickly
How to Apply
Make sure your profile is up to date and includes your LinkedIn link.
Answer every application question. Applications with missing answers won't be reviewed.

Experience
3+ years

Work arrangement
No