About SureBright

Apple Care-like warranty program for every retailer

Tech description:

We’re building an AI-native, agentic platform that powers the full warranty lifecycle: real-time plan quoting at checkout, policy issuance, automated claims intake, adjudication, and fulfillment (repair/replacement/reimbursement), plus internal tooling for operations, compliance, and finance. The hard problems we work on: * Agentic workflows with strong guardrails: automating high-volume decisions while preserving auditability, compliance, and a great customer experience * Real-time dynamic pricing: combining product/merchant/context and other signals to prepare pricing dynamically * OEM warranty understanding: LLM-based parsing of manufacturer warranties and coverage rules into machine-readable policy logic * Claims automation: document/intake normalization, fraud/abuse signals, decisioning, vendor routing, and SLA reliability * Deep commerce integrations: Shopify and other e-commerce/POS surfaces, plus partner APIs, built to be fast, resilient, and easy to adopt Our stack is cloud-native and product-velocity oriented: * TypeScript and Python across services and data/ML * Postgres for core systems of record; Redis for caching/queues where needed * Event-driven architecture (pub/sub style messaging) for reliability and scalability * Data warehouse + BI for funnel, cohort, and loss analytics * LLM + retrieval (vector search) for policy/claims reasoning and internal copilots * CI/CD, infrastructure-as-code, and security controls designed for regulated workflows (logging, permissions, audit trails) * AWS, Azure, Claude Code

Job description:

SureBright is building the world’s 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 you’ll own**\ As our Founding Product Manager, you’ll take ambiguous, high-impact problems and turn them into shipped product. You’ll 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. You’ll be expected to “deliver the product yourself” (flows, wireframes, PRDs, acceptance criteria) and run the full loop from insight → build → launch → learn → refine. **What you’ll do** 1. **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) 2. **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 3. **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 4. **Launch, metrics, and iteration** * Own the product’s 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 **AI-first expectations**\ 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) **What success looks like (first 90 days)** * 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 **Who you are** * Extremely high-agency: you thrive in ambiguity and turn it into execution without waiting for direction * Customer-obsessed: you enjoy talking to users and you’re 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: you’re not just copying patterns—you can create better ones **Requirements** * 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 **Nice to have (not required)** * 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) **Why this role is special** * 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 **How to Apply** * **Please ensure your profile is up to date and includes a link to your LinkedIn.** * **In your application message, share 3 things you’ve built or delivered and the results you achieved in one simple sentence per example (3 sentences total).**

Skills:

Figma

SureBright remote jobs

Staff AI Engineer (Agentic Systems)

Founding Product Manager

Founder’s Office (Generalist / Founder’s Associate)