Sr Product Manager

SureBright is building the worlds first AI-native, agentic warranty company. In line with that, this is a high-ownership do whatever it takes role for someone who wants to operate at founder speed, learn the full stack of an insurance/warranty business, and ship work that directly moves revenue, conversion, and retention.

What Youll Own

As our Sr Product Manager, youll take ambiguous, high-impact problems and turn them into shipped product. Youll do discovery, define the strategy, design the workflow/UX with UI/UX designer, partner with engineering to deliver, and then drive iteration based on metrics and customer feedback.

This is a hands-on role. Youll be expected to deliver the product yourself (flows, wireframes, PRDs, acceptance criteria) and run the full loop from insight → build → launch → learn → refine.

What Youll Do

• Problem discovery and research (independent)
• Identify the highest-leverage problems across merchant onboarding, checkout attach rate, claims experience, and D2C conversion
• Talk to merchants, customers, and internal ops weekly; synthesize insights into clear opportunities
• Research the market: compare competitors/tools, evaluate vendor solutions, and decide build vs buy vs partner
• Map workflows end-to-end and find failure points (latency, confusion, trust gaps, compliance constraints)
• Product definition and design (end-to-end)
• Write crisp PRDs: goals, non-goals, user stories, edge cases, constraints, success metrics
• Design user journeys, flows, and wireframes yourself (fast iteration > perfect pixels)
• Define data and event tracking requirements so we can measure what matters from day one
• Collaborate with compliance/ops to ensure policies, disclosures, and flows are correct and auditable
• Execution with engineering
• Drive sprint planning and delivery with the tech team: clarify scope, unblock decisions, manage tradeoffs
• Ensure high-quality releases: acceptance criteria, QA, launch plans, rollbacks, and operational readiness
• Work closely with AI/ML engineers when features involve agentic workflows, RAG, or automation
• Launch, metrics, and iteration
• Own the products success metrics (conversion, attach rate, retention, claims cycle time, CSAT/NPS)
• Run an experiment cadence: A/B tests, lifecycle messaging tests, pricing/packaging tests, UX experiments
• Use qualitative feedback + quantitative data to iterate quickly and continuously improve outcomes

We expect you to be fluent with modern AI tools and use them daily to move faster and think better:

• Rapid research and synthesis (market scans, customer call summaries, requirements extraction)
• Creating and iterating on PRDs, flows, copy, and specs
• Prototyping and testing workflows
• Working effectively with agentic product concepts (tool use, guardrails, human-in-the-loop, audits)

• You ship 1–2 meaningful product launches that improve a core metric (attach rate, D2C conversion, claims cycle time, CSAT)
• You establish a repeatable discovery rhythm (customer calls + weekly insights + prioritized roadmap)
• You put in place clean instrumentation and a dashboard for your product area
• Engineering feels unblocked and shipping faster because your specs are clear and decisions are timely

• Extremely high-agency: you thrive in ambiguity and turn it into execution without waiting for direction
• Customer-obsessed: you enjoy talking to users and youre relentless about solving the real problem
• Strong product taste + systems thinking: you can design workflows that are simple, reliable, and scalable
• Data-informed: you can define metrics, interpret funnels, and make smart tradeoffs quickly
• Clear communicator: you write crisp specs and can align founders, engineers, ops, and compliance
• Original thinker: youre not just copying patterns—you can create better ones

• 4+ years in product management (startup experience strongly preferred), or equivalent founder experience owning product end-to-end
• Proven track record shipping products from 0→1 and iterating them based on metrics/feedback
• Experience collaborating closely with engineering teams to deliver on a tight cadence
• Comfort with ambiguity and moving fast in a high-ownership environment
• In-person in Gurgaon, India

• Experience in e-commerce, checkout/CRO, or post-purchase workflows
• Experience in insurance, warranties, fintech, or other regulated products
• Familiarity with AI/LLM product patterns (copilots, agentic workflows, RAG-backed experiences)

• Direct founder exposure and high leverage: your work will change the trajectory of the company
• Real breadth: growth + underwriting/claims ops + product, in one seat
• Build an AI-native category-defining company in a massive market
• Career accelerant: if you perform, your scope and title will grow quickly

• Ensure your profile is updated and includes a link to your LinkedIn.
• Answer application questions to include:
• One line for each of the three products you are most proud of delivering, along with their impact. Make sure to mention at least one product you developed from scratch (0 → 1).
• The following details:
• Current CTC with a breakdown
• Expected CTC
• Notice period
• Preferred joining date
• Current location