13 дней назад
Senior Forward Deployed Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Forward Deployed Engineer (AI): Owning technical delivery for complex enterprise accounts across deployment, integration, automation, and solution design with an accent on hybrid infrastructure, data security, privacy, and AI-enabled workflows. Focus on designing scalable customer architectures, building reusable agents and integrations, solving deep technical issues, and turning manual outcomes into repeatable operational workflows.
Location: San Jose, CA, USA
Compensation range: $167,400–$310,900 USD total target compensation / on-target earnings, including base pay and performance-based bonus.
Company
develops data resilience and data security posture management solutions that help organizations secure, understand, and protect data and AI systems.
What you will do
- Own technical delivery for complex enterprise customer accounts from deployment through scaled daily use.
- Lead deployments across cloud, on-premises, hybrid environments, Kubernetes, containers, Linux, and related infrastructure.
- Define solution architectures and adapt platform behavior to customer data, workflows, and risk models.
- Build integrations with identity systems, SIEM, ITSM, data platforms, APIs, and downstream tools.
- Diagnose deep technical issues and create reusable agents, automations, tools, and playbooks.
- Lead architecture sessions, mentor other Forward Deployed Engineers, and partner with Sales Engineering, Product, and Engineering on strategic projects.
Requirements
- 8–12+ years of experience in deeply technical, customer-facing roles such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting.
- Strong software engineering skills in Python, Go, TypeScript, or another language, with the ability to understand complex systems and unfamiliar code.
- Hands-on experience with Kubernetes, containers, Linux, cloud platforms, and complex cloud, hybrid, and on-premises enterprise environments.
- Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data.
- Experience building data pipelines, classifiers, integrations, automations, agents, or internal tools, along with strong fluency in AI-native developer tools and reusable workflows.
- Strong customer presence, critical thinking, ownership, and working knowledge of data security, privacy, and regulatory topics.
Nice to have
- Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains.
- Experience with AI agents, agentic coding assistants, MCP, or RAG systems.
- Familiarity with GDPR, SOC 2, ISO 27001, access control, encryption, masking, or other data protection controls.
- Experience with Snowflake, Databricks, BigQuery, or mentoring senior technical contributors.
Culture & Benefits
- Unlimited paid time off, 12 paid holidays, four global e Days, and 24 paid volunteer hours annually.
- Paid parental leave, including 8 weeks for all parents and 16 weeks for birthing parents.
- Medical, dental, and vision coverage from the first day, plus mental health support and wellness tools.
- 401(k) retirement plan with company matching contributions and tax-advantaged spending accounts.
- Fertility, adoption, surrogacy, legal, identity protection, supplemental insurance, and virtual veterinary care benefits.
- Learning libraries, mentoring, workshops, and professional development events.
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