AI Product Manager - India
Dscout
IndiaremotePosted 1 month ago
Skill Required
AI-Product-ManagementProduct-ManagementLLM-Product-DevelopmentProduct-StrategyProduct-OwnerAI-Product-ManagerAI-ML-Product-ManagerAI-Services-Product-ManagerAI-Product-Management-JobsAI-Platform-Product-ManagerArtificial-Intelligence-Product-ManagementProduct-ManagerProductProduct ManagerAIUser ResearchObservabilityEngineeringsecuritybuildingdesignGenerative AIandFulltime
Key highlights
- 2-5 years of product management experience
- Direct experience shipping AI/LLM-powered features in production
- Built your own personal agents or automated workflows with AI tools
- 12 weeks of paid parental leave
- Equity program included
- Remote work stipend
Role overview
Dscout is a UX research platform company trusted by major brands in finance, healthcare, consumer goods, and tech. They are seeking an AI Product Manager to lead strategy and roadmap for AI-powered products where the underlying models are non-deterministic. The role requires hands-on technical depth with LLMs, direct product ownership, and experience managing the unique quality challenges of AI systems.
Responsibilities
- Lead the roadmap and strategy for your product area, from problem discovery through delivery and post-launch iteration
- Lead the evaluation bar for the model-powered surfaces you're responsible for: define eval sets, identify failure modes, and know the rollback plan before a change ships
- Prototype product ideas directly using your own understanding of model strengths and weaknesses, and ship small, production-quality AI features yourself when that's the fastest path to learning
- Lead product decisions about agent autonomy: what the agent should be trusted to decide and act on independently, what needs a human in the loop, and how that line should move as trust in the system grows
- Treat prompting and context design as a product lever you use directly to shape behavior
- Partner with engineers on technical architecture with enough depth to challenge assumptions, propose alternatives, and influence design decisions
- Partner with Design and Research on UX so features are genuinely usable and understandable, not just technically correct
- Partner with Sales, Marketing, and Customer Success around releases — shaping GTM messaging, training, and rollout, and closing the loop on adoption signal afterward
- Track the metrics that actually matter for a non-deterministic system — quality/accuracy distribution, latency, cost-per-task — alongside the usual adoption and growth metrics
Requirements
- 2-5 years of product management experience owning a roadmap end-to-end, from strategy through shipped outcomes
- Direct experience shipping AI/LLM-powered features in production, including owning evaluation and quality decisions for them
- A real, hands-on feel for what different LLMs and model families are good and bad at, and the ability to prototype against that understanding rather than treating 'AI' as a black box
- Real technical depth: comfortable in architecture discussions, and able to reason about tradeoffs (model choice, latency, cost, deterministic vs. LLM-based logic) as a peer to the engineers you work with
- Comfort defining and reasoning about eval sets and failure modes, and treating quality as a property of a non-deterministic system rather than a binary pass/fail
- Experience partnering cross-functionally with Sales, Marketing, and Customer Success around releases to connect product decisions to business growth
- A high ownership mindset: treating outcomes, not deliverables, as the responsibility
- You live in AI tools like Codex, Claude, OpenClaw, Cursor, or similar, and you've built your own personal agents or automated workflows with them
- Experience shipping features within strict privacy, security, and compliance constraints — treating what the system can retain, or send to a third party as a first-class product decision, not an afterthought.
Nice to have
- Experience with LLM observability/eval tooling (e.g., Braintrust, LangSmith)
- Background in a technical role (engineering, data science) before moving into product
- Experience in B2B, ideal if a market adjacent to UX/market research or insights/feedback
- Comfortable with how a lot of our AI features actually get built: fast prototypes/spikes that get real usage early, then get hardened directly into the product when they land, rather than a big-spec-first process
Benefits
- A strong and competitive compensation package with a built-in bonus and equity program
- An incredible and progressive benefits package (for both you and your dependents) to support work/life balance, including flexible PTO, 15 company holidays, 12 weeks of paid parental leave, 401k match, and much more
- An education stipend to support your growth & development, and a remote work stipend
- A company that is open and transparent with our team. You will know what is happening and why it matters
- Note: Some of the benefits listed below apply only to U.S.-based employees. We offer a similarly competitive benefits program in the UK with many comparable offerings, which we'll be happy to share with you during the interview process.
Additional details
- Dscout is an equal-opportunity employer that values diversity. We do not discriminate based on identity, including race, color, religion, national origin or ancestry, sex, gender identity and expression, age, physical or mental disability, pregnancy, veteran or military status, unfavorable discharge from military service, genetic information, sexual orientation, marital status, order of protection status, citizenship status, arrest record or expunged or sealed convictions, or any other legally recognized protected basis under federal, state, or local law.
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- It doesn't stop there. When you join the Dscout team, you will get: