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Patrick Javier

Benchmark IT - Technology Talent
4.77
from 104 reviews
96% highly recommended

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Jobs
New York, United States
DIRECT HIRE
  • TERMS: direct hire
Artificial Intelligence Engineer – Vice President About the Role iCapital is seeking a Vice President Artificial Intelligence Engineer to lead the design, development, and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This role is ideal for a seasoned engineer with a track record of shipping complex AI systems end-to-end and someone who combines deep technical expertise with strong cross-functional partnership, architectural judgment, and able to operate as a force multiplier for the team. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders, and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. This role is expected to bring independent judgment on technical approach, a bias toward delivery, and able to translate ambiguous business needs into well-scoped, well-executed solutions. Responsibilities
  • Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, and agentic orchestration, to power internal and external workflow automation at scale.
  • Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring, and continuous improvement, delivering tangible business outcomes with a track record of consistent, high-quality delivery.
  • Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy, and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform.
  • Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets, and enforcing strict versioning to ensure reproducibility and continuous improvement.
  • Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly.
  • Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group.
  • Identify systemic problems and propose solutions, proactively improving team processes, tooling, and infrastructure to reduce technical debt and increase development velocity.
  Qualifications
  • 7+ years of experience developing production AI/ML systems, including hands-on experience with AWS or cloud-native development patterns for AI/ML workloads and a demonstrated track record of delivering complex systems from inception through production
  • Strong proficiency in Python and demonstrated ability to build well-engineered, maintainable software, including adherence to software engineering best practices (i.e. source control, CI/CD, testing, and documentation)
  • Deep expertise in at least one of the following: LLM-based systems (fine-tuning, inference optimization, prompt engineering, modern tooling AI tooling, such as transformers, vLLM, or agentic frameworks), document intelligence and IDP, or ML system design (training pipelines, model serving, evaluation infrastructure)
  • Experience designing and operating end-to-end ML pipelines in production, including model training, deployment, monitoring, and iteration (MLOps)
  • Solid fundamentals in statistics, experimentation, and data quality with the ability to reason rigorously about metrics, error patterns, and the limitations of AI systems
  • Experience leading technical design, mentoring engineers, and driving architectural decisions within a team
  • Strong written and verbal communication skills to represent the team in cross-functional settings, document technical designs, and communicate effectively with both technical and non-technical stakeholders
  • Experience spanning more than one of LLM systems, document intelligence, and ML platform and infrastructure
  • Familiar with agentic architectures and protocols (i.e. MCP andA2A) or designing multi-step, tool-using AI workflows
  • Knowledge of cost and latency optimization for LLM inference at scale (i.e. quantization, batching strategies, and model routing)
  • Prior experience in financial services or FinTech, particularly in document-heavy or compliance-sensitive domains
  • Contributions to open-source projects or published technical writing demonstrating thought leadership in applied AI
Benefits The base salary range for this role is $170,000 to $200,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.  

AI Red Tester/Pen Tester/Ethical Hacker- Long Term Contract - Remote
Remote, New Jersey, United States
CONTRACT
  • TERMS: contract
For our direct client, a prestigious global firm, we seek an experienced hands-on AI Red Team tester to join their team, for a long-term contract. This contract can be done remotely, is 40 hours/week, and is open to a credentialed security professional located in the US. The Global Red Team Tester will conduct testing of AI models to find vulnerabilities, develop new evaluation frameworks, communicate risks to stakeholders across the global teams, collaborate with defensive and development teams, and mentor junior team members. Key Responsibilities:  
  • Conduct red team exercises simulating real-world deployment scenarios and edge cases. Systematically probe for bias, toxicity, misinformation generation, and other harmful outputs across diverse contexts and demographics. Improve firm’s security posture against emerging AI threats. Concentration is on executing standardized security tests.
  • Design and execute comprehensive adversarial testing campaigns against AI models, including but not limited to large language models, multimodal systems, and autonomous agents.
  • Research attack vectors and prompt injection techniques to identify model vulnerabilities, jailbreaks, and unintended behaviors. Evaluate and introduce AI Security tools that decrease mean time to detect and respond to AI-specific threats.
  • Create adversarial datasets and benchmarks to evaluate model robustness under various attack conditions.
  • Collaborate with security teams (e.g., GSOC, member firm security teams, developers) to perform red teaming activities, and document and present findings, vulnerabilities, and remediation recommendations to drive the mitigation of identified risks
  • Develop and maintain process documentation, create reports on testing activities, track operational metrics, and perform other programmatic tasks as required to support the AI Red Team's function.
Skills and experience desired:
  • Minimum 5 years of penetration testing or red team operations experience.
  • Background in AI red teaming, web application penetration testing, application/network penetration testing, red team operations, or cyber security.
  • Familiarity with threat intelligence.
  • Understanding of Artificial Intelligence, Machine Learning, software applications, cloud computing, and networking.
  • Excellent communication and stakeholder management skills.
  • Ability to work effectively across geographies and time zones.
Core technical skills include: • Testing tools: SPLX, Garak, TextAttack, PyRIT, Burp Suite, Metasploit, Nessus, Cobalt Strike/Mythic/C2, NMAP, sqlmap, or similar tools (familiar with some of these tools or similar) • Web application technologies and layer 7 protocols (HTTP, DNS, FTP) • Technical experience in Generative AI, Agents, A2A, and/or MCP • Programming languages: Python, Ruby, Go, PowerShell, bash or similar (familiar with some of these languages or similar)
  • Computer science, information technology, or cybersecurity degree (Bachelor's or higher preferred) from an accredited college or university or equivalent work experience.
• Certifications: OSCP, GPEN, GPXN, AI Red Teamer Job Role Path (HackTheBox), AISEC+, or other industry AI or Red Team related certifications desired By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

CRM & Customer Insights Analyst - FTE - Hybrid (1 Day/week onsite)
Norwalk, Connecticut, United States
DIRECT HIRE
  • TERMS: direct hire

 

CRM & Customer Insights Analyst - Full-time, Hybrid(1 day/week onsite) About the Role

Our client is seeking a CRM & Customer Insights Analyst to play a key role in advancing data-driven marketing, customer engagement, personalization, and digital acquisition initiatives.

This is a hands-on, strategic role for a CRM and lifecycle marketing professional who can use customer data, campaign analytics, segmentation, marketing automation, and emerging technologies to improve marketing performance and support future growth.

The CRM & Customer Insights Analyst will support the planning, execution, reporting, and optimization of cross-channel marketing campaigns, with a strong focus on Salesforce Marketing Cloud journeys, email marketing, automated customer communications, audience segmentation, personalization testing, lead scoring, customer behavior analysis, and digital acquisition programs.

This person will help the Marketing team better understand customer behavior, preferences, and engagement patterns in order to deliver more personalized, relevant communications that support customer retention, acquisition, ecommerce initiatives, and passenger growth.

The ideal candidate brings strong CRM maturity, intellectual curiosity, and the ability to translate marketing data and campaign learnings into clear, actionable recommendations. This person should be excited by emerging technologies, including AI-enabled marketing tools, predictive modeling, lead scoring, and personalization platforms that enhance customer insights and campaign effectiveness.

Key Responsibilities

  • Support the development and execution of data-driven CRM and lifecycle marketing campaigns that improve customer engagement, retention, acquisition, and ecommerce performance.

  • Build, deploy, and maintain marketing and transactional email campaigns, automated customer journeys, and trigger-based communications.

  • Optimize Salesforce Marketing Cloud journeys through testing, segmentation, personalization, automation, and ongoing performance analysis.

  • Support AI-enabled lead scoring, customer modeling, and predictive segmentation initiatives to improve targeting and campaign effectiveness.

  • Analyze campaign performance across housefile email marketing, lifecycle campaigns, digital acquisition, and customer engagement initiatives.

  • Translate campaign results, customer behavior, and personalization test learnings into actionable recommendations for the Marketing team.

  • Support audience segmentation strategies and list optimization efforts to improve targeting, personalization, relevance, and campaign results.

  • Design, execute, and evaluate A/B and multivariate tests across audiences, offers, creative, timing, journeys, retention, cross-sell, and personalization strategies.

  • Support rollout of CRM, marketing technology, ecommerce, and customer data integrations, including future customer journey and ecommerce flow enhancements.

  • Support digital acquisition marketing initiatives through audience development, lead management, campaign tracking, and performance analysis.

  • Identify opportunities to leverage AI, automation, predictive analytics, and marketing technology tools to improve segmentation, personalization, reporting efficiency, and customer insights.

  • Partner closely with Business Analytics, IT, Marketing, and ecommerce stakeholders to support reporting needs, data requirements, campaign tracking, and marketing technology initiatives.

Required Skills & Experience

  • 7+ years of relevant experience in CRM, email marketing, lifecycle marketing, customer insights, marketing analytics, or a related discipline.

  • Hands-on experience with marketing automation and CRM platforms, preferably Salesforce Marketing Cloud.

  • Strong experience building, deploying, and optimizing customer journeys, automated campaigns, trigger-based communications, and lifecycle marketing programs.

  • Strong understanding of email marketing best practices, segmentation strategies, personalization, customer journeys, and campaign optimization techniques.

  • Experience translating customer data, campaign performance, and testing results into actionable marketing insights and business recommendations.

  • Strong analytical, reporting, data interpretation, and problem-solving skills.

  • Experience with A/B testing, multivariate testing, campaign performance analysis, customer behavior analysis, and ROI reporting.

  • Ability to work with cross-functional teams to support CRM, marketing technology, customer data, and ecommerce-related initiatives.

  • Strong organizational skills with the ability to manage multiple projects and deadlines while maintaining close attention to detail.

  • Excellent collaboration skills and the ability to work effectively in a fast-paced, cross-functional environment.

  • Strong verbal and written communication skills.

  • Self-starter with a proactive mindset and the ability to take ownership of projects and initiatives.

Preferred Skills

  • Experience with AI-enabled marketing tools, predictive analytics, lead scoring, customer modeling, or predictive segmentation.

  • Experience optimizing Salesforce Marketing Cloud journeys and personalization tests.

  • Experience supporting ecommerce flows, customer data integrations, or marketing technology platform integrations.

  • Experience with SQL, Google Analytics/GA4, Tableau, and Salesforce platforms.

  • Experience with Salesforce Marketing Cloud, Salesforce Personalization, Sales Cloud, or Service Cloud.

  • Experience supporting digital acquisition, lifecycle marketing, customer retention, cross-sell, or personalization campaigns.

  • Passion for marketing; interest in travel is a plus.

Ideal Candidate Profile

The ideal candidate is a sophisticated CRM and customer insights professional who combines hands-on campaign execution with a strategic, data-driven mindset. This person should be comfortable working deeply in Salesforce Marketing Cloud, optimizing customer journeys, analyzing behavior and campaign performance, supporting AI-enabled lead scoring and personalization efforts, and turning insights into practical marketing actions.

This role is well suited for someone who understands CRM beyond campaign deployment — someone who can help mature the customer marketing function through smarter segmentation, stronger personalization, better journey optimization, and more actionable use of customer data.

Work can be done 80% remotely, the client would like 1 day/week onsite in their office near Norwalk, CT.   Immediate interview and hire!   By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:https://bmarkits.com/privacy-policy/