Skip to main content
Dscout

AI Product Manager

RemoteIndia only· except Malta, HI, AK +1 more
Published
Role
Product
Experience
Mid
Salary not disclosed
Check eligibility

Open to IN only · except MT, HI, AK, US. Set where you work from to check your eligibility.

No BS summary

AI Product Manager with 2-5 years of experience in product management, specifically shipping AI/LLM-powered features in production. Must have a hands-on understanding of LLMs and technical depth for architecture discussions. This role requires a high ownership mindset and experience with privacy, security, and compliance constraints.

Core skills

LLMsAI

Optional skills

BraintrustLangSmith

What you'll do

  • 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

What they require

  • 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)
  • Nice to have: Background in a technical role (engineering, data science) before moving into product
  • Nice to have: Experience in B2B, ideal if a market adjacent to UX/market research or insights/feedback
  • Nice to have: 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.

Dscout is building a UX research platform trusted by major brands; its tools help teams understand the humans behind their products.

UX Research
Salary not disclosed