1 день назад
VP, Data Platform and Knowledge (AI)
200 000 - 226 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Data Platform and Knowledge (AI): Building and owning Wolfe's end-to-end data and knowledge platform, including ingestion pipelines, governance frameworks, vector and graph databases, and semantic search with an accent on production-grade scalability and AI readiness. Focus on shipping production code, quantifying data trust, systematizing source onboarding, and leading a flat engineering organization accountable for platform outcomes.
Location: 5-day onsite role in Pittsburgh, Pennsylvania, United States
Salary: $200,000–$226,000 per year, including base salary and target incentive bonus, plus RSUs.
Company
is a Pittsburgh-based FinTech and e-commerce company developing personalized gifting, gift-card, and card-to-card gifting technologies, including robotic fulfillment capabilities.
What you will do
- Own 's data and knowledge platform across ingestion pipelines, governance frameworks, vector databases, graph databases, and semantic search.
- Write production code daily and keep all platform layers scalable, reliable, production-grade, and AI-ready.
- Lead a flat team of senior leaders and data engineers, establishing delivery cadence, ownership areas, and accountability.
- Implement data quality and governance standards that reduce friction for AI and engineering teams.
- Systematize the onboarding of new data sources from scoping through production while protecting existing pipelines.
- Partner with AI product, engineering, and business leadership to align platform capabilities, data standards, and priorities.
Requirements
- 12+ years of progressive experience in data platforms, data engineering, or knowledge infrastructure.
- At least 5 years in senior leadership owning a team, budget, and multi-year roadmap.
- Active hands-on engineering experience with the ability to build and ship production data systems personally.
- Experience managing a flat, mixed-seniority team spanning senior leaders and individual engineers.
- Experience scaling a data platform at a high-growth technology company, preferably in an AI-native environment.
- Current expertise in vector databases, graph databases, embedding pipelines, and LLM-adjacent infrastructure.
Nice to have
- Experience working in an AI-native environment where semantic data structure and reliability are core product requirements.
- Founder-level ownership mindset and a bias for measurable action.
Culture & Benefits
- RSUs, incentive bonus, and profit share.
- Medical, prescription, vision, and dental insurance for employees and dependents, with paying 80% of premiums.
- Short-term disability insurance fully paid by , plus optional long-term disability, life, critical illness, accident, and hospital indemnity coverage.
- Paid vacation and sick time, corporate holidays, floating holidays, and a 401(k).
- Tuition reimbursement, internal training, information sessions, employee recognition, and charitable donation benefits.
- Employee events and activities, including a family picnic, holiday party, outings, and an internal culture club.
Hiring process
- Resume review, team interview, culture interview, and final interview.
- Offer, background check, and start.
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