обновлено 3 дня назад
AI & Data Analytics Opportunities
125 000 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Product Manager (AI/Data Analytics): Defining strategy, roadmaps, and delivery for enterprise AI products with an accent on evaluation, experimentation, responsible AI, and application integrations. Focus on leading build-versus-buy decisions, coordinating ML Engineering, MLOps, Data Engineering, and business squads, and connecting product performance to measurable revenue and efficiency outcomes.
Location: Needham, Massachusetts, United States
Annual salary: $125,000–$195,000 USD
Company
is a global product design and technology company developing consumer lifestyle products under the Shark and Ninja brands.
What you will do
- Define 3–9-month AI product roadmaps, problem statements, value hypotheses, prioritized backlogs, PRDs, acceptance criteria, and release plans.
- Own offline evaluations, human and automated assessments, and online A/B experiments for AI features, optimizing quality, latency, and cost.
- Define responsible AI requirements covering safety, privacy, compliance, traceability, and operational guardrails with Security and Legal.
- Specify API-first and event-driven integrations across CRM, ERP, eCommerce, and data platforms, including data contracts, SLAs, authentication, PII handling, and observability.
- Lead build-versus-buy analyses, vendor proofs of value, financial models, risk assessments, and recommendations.
- Lead cross-functional squads across ML Engineering, MLOps, Data Engineering, Analytics, and business functions while measuring KPIs and reporting outcomes to executives.
Requirements
- 5+ years of product management experience with shipped data or AI features tied to measurable outcomes.
- Proven ownership of AI feature evaluation and experimentation, including offline metrics, human or automated evaluations, and A/B testing.
- Hands-on experience driving enterprise-scale application integrations using API-led or iPaaS patterns, SLAs, data contracts, and identity solutions.
- Experience leading build-versus-buy decisions with financial models and risk analyses.
- Excellent executive communication and stakeholder leadership skills.
Nice to have
- Experience optimizing Amazon sales and advertising channels.
- Experience with Salesforce Cloud and CDP integrations.
- Exposure to LLMOps, prompt versioning, guardrails, evaluation frameworks, vector search, RAG, or model observability.
Culture & Benefits
- AI-native culture focused on experimentation, new tools, and measurable consumer impact.
- Medical, dental, and vision insurance, plus HSA and flexible spending accounts.
- 401(k) retirement plan with matching, employee stock purchase program, and life and disability insurance.
- Paid time off, company holidays, parental leave, and backup child and eldercare days.
- Learning programs, wellness programs, product discounts, referral bonuses, and career development opportunities.
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