3 дня назад
Senior Support Engineer I (AI)
130 000 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Support Engineer I (AI) (Technical Support/Data Engineering): Owning complex escalations involving data mapping defects, forecast anomalies, and integration failures while building SQL, Python, Databricks, Looker, and agentic AI tooling with an accent on root-cause analysis, automation, and measurable operational impact. Focus on leading cross-functional initiatives, eliminating recurring customer-facing issues, mentoring support engineers, and distinguishing problems in data inputs, ML behavior, and application logic.
Location: Remote in the United States; employees must reside in AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, or WI.
Salary: $130,000–$195,000 annually, plus meaningful early-stage equity and benefits.
Company
builds AI products for grocery retailers to improve enterprise decision-making, reduce food waste, and optimize operations from stores to distribution centers.
What you will do
- Own complex customer-facing escalations involving data mapping defects, recommendation and forecast anomalies, integrations, and data-feed failures.
- Lead cross-functional initiatives to increase ticket deflection, reduce handling time, and minimize escalations.
- Define success metrics, establish baselines, measure outcomes, and communicate impact to relevant teams and leaders.
- Build investigation and automation tooling with SQL, Python, Databricks, Looker, Stylo, Claude, Cowork, and related workflows.
- Partner with Solutions Engineering, Data Engineering, Product Engineering, and Operations to eliminate recurring root causes.
- Mentor Tier 1 and Tier 2 engineers, lead training, document playbooks, and represent Support in technical and cross-functional forums.
Requirements
- 5+ years of experience in technical support engineering, solutions engineering, data engineering, or a comparable role involving production-data root-cause analysis.
- Advanced SQL skills, including reasoning about joins across large and imperfect datasets and validating findings against authoritative sources.
- Experience owning complex cross-functional initiatives from definition through delivery.
- Proficiency with AI tools such as Claude or other agentic platforms, with sound judgment about automation reliability.
- Python or similar scripting ability for investigation and data automation.
- Clear written communication, mentoring ability, self-direction, and comfort working through ambiguity.
Nice to have
- Grocery, retail, or supply chain experience, including ordering, replenishment, assortment, or fresh department operations.
- Experience with Databricks, Zendesk, Stylo, or workflow automation platforms.
- Experience supporting ML-driven products and distinguishing data, model, and application issues.
- Experience mentoring engineers and raising a team’s technical standards.
Culture & Benefits
- Medical, dental, and vision coverage for employees and families, with most premiums covered, plus mental health support.
- 401(k) program with company match, meaningful equity for U.S. employees, and a professional development budget.
- Remote work support with a home office stipend and flexible coworking wallets.
- Monthly wellness and telecommunications stipends.
- Flexible paid time off and an inclusive culture focused on proactivity, kindness, candor, and humility.
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