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Product Manager II – AI
| Company | DraftKings |
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| Location | Boston, MA, USA |
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| Salary | $117900 – $147400 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level |
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Requirements
- 3+ years of product management (or equivalent) delivering data‑ or platform‑centric products from concept through broad adoption.
- Demonstrated success shipping ML‑ or generative‑AI–powered solutions that improve internal workflows.
- Ability to translate technical concepts (model performance, latency, scalability) into language understood by business stakeholders—and vice versa.
- Hands‑on familiarity with A/B testing, experimentation design, and basic statistical analysis.
- Agile mindset with strong prioritization skills and a track record of moving fast in highly collaborative environments.
- Clear, persuasive communication that rallies executives and front‑line users around a shared AI vision.
- Experience in regulated domains such as sports betting, fintech, or health.
- Exposure to LLM architectures, vector databases, orchestration frameworks (LangChain/LlamaIndex), or similar technologies.
- Familiarity with MLOps tooling (Databricks, feature stores, Kubernetes) and ML observability practices.
- Background in causal inference or more advanced statistical techniques.
Responsibilities
- Partner with Engineering, Data Science, and domain leaders to surface high‑impact automation and decision‑support use cases and sequence them into a staged roadmap that accelerates DraftKings’ AI‑transformation goals.
- Deliver SDKs, templates, and documentation so any DraftKings team can spin up compliant, observable AI agents without reinventing the wheel.
- Gather requirements from operators, analysts, product managers, and marketers; convert them into clear platform capabilities, agent behaviors, API contracts, and success metrics.
- Drive squads through PoCs, model selection, evaluation, A/B testing, and production deployment—championing responsible‑AI practices every step of the way.
- Define and own KPIs such as time‑to‑insight, workflow‑automation %, cost savings, and agent adoption; build dashboards that reveal what’s working (and what’s not).
- Partner with Security, Legal, and Compliance on data privacy, bias detection, and model‑governance policies so innovation never outruns our responsibilities.
- Host demos and craft playbooks that raise AI literacy company‑wide and ensure new capabilities land with maximum impact.
Preferred Qualifications
No preferred qualifications provided.
