В CrowdStrike предлагают четко очерченную роль с фокусом на AI, современным стеком и хорошими льготами, но зарплатный диапазон ниже рыночного ориентира, а работать нужно по тихоокеанскому времени.
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Ниже рынкаСовременный стекПонятные задачиAI в кибербезопасностиЧасы по PT
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Sr. Software Engineer, MarTech (Remote) (AI/Applied ML): Building production-grade LLM agents, machine learning pipelines, search and retrieval solutions, and AI integrations for marketing and sales systems with an accent on agent orchestration, data quality, RAG, evaluation, privacy, and responsible AI. Focus on designing reliable services, integrating Adobe Experience Cloud, Salesforce, and Marketo, monitoring production systems, and enabling teams to adopt AI effectively.
Location: USA - Remote; work Pacific Time (PT) business hours.
Base salary: $125,000–$180,000 per year for U.S. candidates, with eligibility for bonuses, equity grants, health insurance, 401(k), and paid time off.
Company
CrowdStrike is a cybersecurity company building an AI-native platform that protects organizations and processes almost 3 trillion events per day.
What you will do
Identify, prioritize, and scope AI opportunities with Marketing teams and define success metrics tied to business outcomes.
Build and deploy LLM-based agents for event invitations, prospecting, account and contact workflows, and partner experiences with orchestration and human-in-the-loop controls.
Build ML- and LLM-assisted pipelines for lead and contact cleaning, deduplication, enrichment, validation, scoring, bot detection, and fraud detection across Salesforce, Marketo, and related systems.
Modernize site search and partner locator using semantic and hybrid retrieval, embeddings, and RAG grounded in approved content; improve partner lead ROI reporting and Adobe Analytics adoption.
Define evaluation metrics and regression tests, monitor accuracy, latency, and cost, and implement PII handling, consent enforcement, audit logging, monitoring, alerting, incident response, and runbooks.
Integrate AI solutions with Adobe Experience Cloud, Salesforce, Marketo, and other systems through APIs and event-driven patterns; evaluate AI tools and platforms, collaborate with AEP and platform engineers, and train and mentor stakeholders.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience.
5+ years of software or data engineering experience, including 2+ years taking LLM or ML solutions to production.
Hands-on experience with LLM APIs, agent frameworks, prompt engineering, tool calling, and orchestration.
Familiarity with the marketing business domain in the Hi-Tech industry.
Experience with RAG, embeddings, vector or hybrid search, and ML-based entity resolution, classification, or scoring.
Experience with evaluation methods, prompt and model versioning, and production monitoring.
Strong Python and SQL, plus TypeScript/JavaScript or Java, and experience building RESTful APIs.
Working knowledge of CRM and marketing automation data models for leads, contacts, and accounts in platforms such as Salesforce and Marketo.
Experience with AWS or Azure, Jenkins or GitLab CI/CD, and GitHub.
Understanding of data governance, GDPR, CCPA, privacy, and responsible AI practices.
Ability to train and mentor technical and non-technical colleagues, balance project work with operational tasks, and work Pacific Time business hours.
Nice to have
Experience with Adobe Experience Platform, Adobe Analytics, Target, Journey Optimizer, AEM, Firefly, or GenStudio.
Experience with Elasticsearch, OpenSearch, or Algolia.
Experience with Snowflake, Databricks, or Kafka.
Experience with sales technology, including engagement, intent, or enrichment tools, or bot and fraud mitigation.
Experience leading internal AI training programs.
Cloud or AI certifications.
Culture & Benefits
Remote work with flexibility and autonomy, alongside expectations for responsible AI adoption, experimentation, and innovation.
Comprehensive physical and mental wellness programs.
Competitive vacation and holidays, plus paid parental and adoption leave.
Professional development opportunities for all employees.
Employee Networks, geographic neighborhood groups, volunteer opportunities, and office amenities.
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