AI Product Manager

Job not on LinkedIn

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

✅ Product Manager

🚫👨‍🎓 No degree required

👻 Ghost score 10%

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Logo of Dscout

Dscout

201 - 500 employees

Founded 2011

☁️ SaaS

🤝 B2B

💰 $70M Series C - Dscout on 2022-03

SaaS • B2B

Dscout is an experience research SaaS platform that helps teams recruit engaged participants, run usability tests, field studies, diary studies, interviews and media-rich surveys, and analyze qualitative and quantitative feedback. It provides a verified participant panel (“Scouts”), study templates and admin tools, and AI-assisted tagging and analysis to speed insight discovery and decision-making for product and UX teams.

📋 Description

• Lead the roadmap and strategy for the product area from problem discovery through delivery and post-launch iteration • Lead the evaluation bar for model-powered surfaces by defining eval sets, identifying failure modes, and knowing the rollback plan before changes ship • Prototype product ideas using understanding of model strengths and weaknesses • Ship small, production-quality AI features directly when that is the fastest path to learning • Make product decisions about agent autonomy, human-in-the-loop requirements, and how autonomy should evolve with system trust • Use prompting and context design directly to shape product behavior • Partner with engineers on technical architecture, challenge assumptions, propose alternatives, and influence design decisions • Partner with Design and Research to create usable and understandable UX • Partner with Sales, Marketing, and Customer Success on release messaging, training, rollout, and adoption feedback • Track quality/accuracy distribution, latency, cost-per-task, 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 • Hands-on understanding of the strengths and weaknesses of different LLMs and model families • Ability to prototype against model capabilities rather than treating AI as a black box • Technical depth and comfort in architecture discussions • Ability to reason about model choice, latency, cost, and deterministic versus LLM-based logic • Comfort defining and reasoning about eval sets and failure modes • Experience partnering cross-functionally with Sales, Marketing, and Customer Success around releases • High ownership mindset, treating outcomes as the responsibility • Experience using AI tools such as Codex, Claude, OpenClaw, Cursor, or similar • Experience building personal agents or automated workflows • Experience shipping features within strict privacy, security, and compliance constraints • E-Verify participation may apply in certain locations, as required by law • Nice to have: Experience with LLM observability/eval tooling such as Braintrust or LangSmith • Nice to have: Background in engineering or data science before moving into product • Nice to have: B2B experience, ideally in UX/market research or insights/feedback • Nice to have: Comfort with fast prototypes/spikes and hardening features directly into the product

🏖️ Benefits

• A strong and competitive compensation package with a built-in bonus and equity program • Flexible PTO • 15 company holidays • 12 weeks of paid parental leave • 401k match • An education stipend to support your growth & development • A remote work stipend • An incredible and progressive benefits package for employees and dependents • Remote-first workforce with flexibility to work from almost anywhere

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