Please note that this position is based in either San Diego, CA, or Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

 Primary Responsibilities:

PSS Operations & Performance Optimization

• Oversee HUB operations through direct, field-based and virtual engagement with case management teams, HUB vendor leadership, and operational staff across partner locations
• Manage and hold vendors accountable through SLAs, KPIs, and continuous improvement actions
• Conduct onsite and remote vendor governance activities, including QBRs, audits, operational deep dives, workflow observations, and continuous improvement workshops
• Develop and monitor operational dashboards to evaluate HUB performance and identify action plans
• Implement programs to help HCPs and patients overcome access barriers and achieve timely therapy initiation
• Ensure affordability and access program compliance and integration with brand and payer strategies including co-pay, bridge programs and PAP
• Partner with Trade & Distribution, SP networks, and Market Access to ensure cohesive operations, timely fulfillment, and a unified patient experience
• Strengthen performance visibility, data exchange, and operational alignment across SP partners
• Partner closely with PSS Field team through field ride-alongs, joint customer engagements, and in-market collaboration to establish shared goals, training, tools, and execution standards
• Ensure tight alignment between HUB operations and PSS field teams to deliver seamless customer engagement
• Serve as Patient Support Services budget owner, overseeing forecasting, operational planning, scenario modeling, and expense management.
• Evaluate vendor proposals, contracts, and resource allocations to ensure optimal ROI and responsible financial governance

Strategic Leadership & Vision

• Develop and execute enterprise patient support services strategy aligned with brand objectives, payer dynamics, and evolving business needs
• Lead the assessment, design, and modernization of HUB services to improve efficiency, satisfaction, and outcomes
• Represent Patient Support Services at national and regional conferences, vendor summits, and cross‑company forums to remain current with evolving access models, regulatory expectations, and best practices
• Partner as the PSS lead for pipeline and lifecycle management with full operational readiness
• Provide strategic recommendations on the evolution of access programs, service models, and operational frameworks
• Lead digital transformation across patient support operations including CRM optimization, workflow automation, e‑services, AI/ML applications, and data integration
• Identify and implement new tools and platforms to enhance operational efficiency and the patient/HCP experience
• Partner to develop dashboards and reporting frameworks to monitor HUB performance, patient journey metrics, SP coordination, affordability trends, and satisfaction indicators
• Leverage insights, market research, and customer feedback to optimize programs and refine strategy
• Lead or support additional initiatives that advance the PSS mission and enterprise access strategy

Team Leadership & Cross Functional Collaboration

• Build and lead a high‑performing Patient Support Services operations team through coaching, development, and clear performance expectations
• Provide direction to internal team members, agencies, HUB vendors, SP partners, technology vendors, and operational partners
• Work collaboratively with Trade, Market Access, Sales, Brand, Patient Advocacy, Legal, Compliance, IT, and Specialty Pharmacy partners to deliver best‑in‑class services
• Model a consistently constructive and solutions‑oriented mindset, approaching challenges with optimism, resilience, and a forward‑looking perspective that builds confidence and momentum across teams.
• Demonstrate executive presence in every interaction through intentional body language, composed delivery, and clear, respectful communication that fosters trust and credibility.
• Engage as an active, empathetic listener, creating space for diverse viewpoints, ensuring partners feel valued, and incorporating insights to strengthen decision‑making and alignment.
• Serve as a unifying connector across Patient Support Services, driving integration, clarity of priorities, and shared accountability while maintaining a high standard of professionalism and diplomacy.
• Collaborate transparently with Patient Support and cross‑functional commercial leaders to surface obstacles, co‑create solutions, and enable consistent execution—always reinforcing a culture of partnership.
• Facilitate structured governance and feedback loops that reinforce transparency, agility, and responsiveness, ensuring field and patient insights translate into meaningful organizational action.

Other Key Areas of Focus:

• HUB Operations & Case Management
• Specialty Pharmacy Collaboration
• Affordability Programs (Copay, PAP, Bridge)
• Vendor Governance, SLAs & KPI Oversight
• Access Marketing & Positioning
• Digital Enablement & Workflow Optimization
• Data & Analytics, Dashboards & Reporting
• Pipeline Readiness & Lifecycle Support
• Cross-Functional Commercial Integration
• Budget Ownership & Financial Stewardship
• Continuous Improvement & Innovation

Education/Experience:

Key Candidate Skills:

• Proven ability to design, optimize, and scale HUB operations, reimbursement support, specialty pharmacy coordination, and vendor management.
• Demonstrated success leading complex operations, cross-functional initiatives, and improving patient experience and access outcomes.
• Strong communication and influence skills to align cross-functional stakeholders
• Analytical mindset with ability to translate data into actionable insights and operational improvements
• Experience supporting product launches and ensuring operational readiness in patient services
• Proven cross-functional collaboration across commercial, access, compliance, medical, IT, and vendors
• Strong organizational and prioritization skills with ability to manage multiple initiatives
• Resilience and adaptability in evolving business environments
• Deep knowledge of patient services, access models, HUB operations, and reimbursement workflows
• Strong leadership and team management capabilities
• Technical proficiency in Microsoft Office, CRM systems, analytics platforms, and workflow tools
• Experience managing budgets and vendors to drive cost-efficient, high-quality outcomes
• Ability to meet required compliance and workplace standards
• Ability to travel up to 70% 

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#LI-SW1

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Location: Vineland, NJ 

Location: Remote - (NORAM)

How You'll Make an Impact: 

As a Senior Backend Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

Please note that this position can be based in Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

Primary Responsibilities

• Design, develop, validate, and deploy machine learning, statistical, and GenAI solutions that address complex business problems and support enterprise priorities
• Contribute to execution of the enterprise AI strategy and roadmap by providing technical input on use‑case feasibility, value hypotheses, architecture decisions, and build‑vs‑buy assessments
• Build and maintain scalable ML and LLM pipelines from data ingestion through production, adhering to established ML Ops and LLM Ops standards including versioning, evaluation, observability, and rollback
• Partner with business, analytics, IT, and security teams to identify, prototype, and deliver high‑value AI use cases across the organization
• Evaluate and integrate AI and GenAI platform components such as model endpoints, vector databases, agent frameworks, and guardrails in alignment with enterprise architecture standards
• Contribute to AI governance by supporting model documentation, lineage, risk assessment, bias testing, explainability, and compliance with applicable regulations and frameworks
• Provide technical input into AI platform and vendor evaluations, including RFI/RFP activities and assessments of cost, security, and data residency
• Support AI enablement efforts through development of reusable patterns, reference implementations, and technical documentation to accelerate adoption
• Apply and uphold policies for AI lifecycle management, bias/robustness testing, explainability, human oversight, and incident response. Support mapping of AI controls to major frameworks and regulations (e.g., NIST AI RMF, EU AI Act readiness) to ensure responsible and compliant AI deployment.
• Ensure all data science work complies with global AI regulations, ethical standards, and applicable GxP processes.
• Participate in cross-functional AI Governance Council activities as requested, providing technical expertise on model risk and data science practices.
• Other duties as assigned

Education/Experience/Skills

• Master’s degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative discipline, or equivalent practical experience
• 5+ years of hands‑on experience in applied data science and machine learning, including model development, deployment, and production support
• Advanced proficiency in Python and common ML frameworks and tools such as scikit‑learn, TensorFlow, PyTorch, and SQL
• Practical experience with ML Ops and LLM Ops practices including model registries, version control, evaluation benchmarks, and monitoring
• Experience working with large language models, GenAI technologies, vector databases, or agent frameworks
• Experience operating in a regulated environment and following GxP or similar compliance processes
• Willingness and ability to travel domestically and internationally

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

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#LI-CS1

Please note that this position can be based in Princeton, NJ, San Diego, CA, or San Francisco, CA. Acadia's hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Sr. Director, Commercial Advanced Analytics & Data Strategy is a strategic leadership role responsible for defining, building, and scaling the analytics capabilities, data strategy, and governance frameworks that enable commercial decision-making across the organization. This role ensures that high quality data, advanced analytics, and AI enabled insights are seamlessly integrated into commercial strategy, planning, launch execution, and in market optimization.  The Sr. Director serves as a strategic partner cross-functionally, translating business priorities into scalable analytics products and platforms while ensuring governance, compliance, and measurable business impact.

Over time, this role will build and mature commercial advanced analytics and data capabilities, establish fit‑for‑purpose operating models, and define future talent and capability needs to support the evolving business. The role will work closely with Acadia’s AI team, which provides shared AI expertise across Commercial and R&D, as well as with IT teams responsible for enterprise data, infrastructure, and platform enablement.

Primary Responsibilities

Commercial Analytics Strategy & Leadership

• Partner with Commercial leadership to define the advance analytics vision, strategy and initiatives that enables the development of scalable analytics and decision-support capabilities that drive business outcomes

• Lead and govern advanced analytics projects, predictive analytics, and AI/machine learning solutions  supporting brand strategy, launch planning, patient support, segmentation, targeting, omnichannel optimization, and sales effectiveness.

• Enable AI-driven commercial use cases such as next-best-action, customer engagement optimization, automated forecasting, and scenario planning.

• Balance innovation with rigor by ensuring analytics solutions are interpretable, validated, and compliant with internal and external requirements including privacy laws

• Translate commercial business questions into analytics use cases, models, and decision frameworks.

• Ensure analytics outputs and insights are actionable, adopted, and embedded into commercial planning, existing workflows, processes, systems and demonstrate measurable outcomes.

• Act as a trusted advisor to Commercial leadership, influencing decisions through data-driven insights

• Partner with the Enterprise AI team to identify, prioritize, and scale high-value AI and advanced analytic capabilities, solutions and governance.

Data Strategy, Governance and Cross-Functional Enablement Leadership

• Establish commercial data strategy to support the organization in achieving its business objectives. This includes leading the acquisition, implementation, and evolution of the commercial data assets, including syndicated claims, EMR, prescription, HUB/SP/Partner, promotional, and digital data.

• Partner cross-functionally with Enterprise Data, IT, and infrastructure teams to enable scalable data platforms, data pipelines, and tools that support analytics, AI, and self-service insights.

• Oversee vendor selection and management for data sources, analytics tools, and platforms.

• Establish governance frameworks for data access, analytics validation, and model lifecycle management.

• Collaborate with legal/compliance teams to mitigate risk and ensure compliance with HIPAA, GDPR, CCPA, and internal data privacy and security policies.

• Partner with IT data and infrastructure teams to align commercial analytics needs with enterprise architecture, platform standards, security requirements, and long-term data strategy.

Leadership & Communication

• Serve as a bridge between business stakeholders and technical teams, ensuring clarity of requirements and outcomes.

• Influence senior executives through concise storytelling, visualization, and business impact measurement.

• Build, lead, retain and mentor a high-performing team and capability in support of advanced analytics, data acquisition, and data governance, while fostering a culture of accountability, continuous improvement, and innovation.

• Assess and evolve organizational capabilities, talent, and ways of working needed to scale commercial advanced analytics over time.

• Other responsibilities as assigned.

Education/Experience/Skills

Bachelor’s degree in data science, statistics, engineering, computer science, or a related field; Advanced degree (MS, PhD, or MBA) preferred.  Targeting 12 years of progressively responsible experience in commercial analytics, data science, or data infrastructure data strategy, or related functions, with significant experience in biotech or pharmaceutical organizations.  An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced analytics, modeling, and visualization tool experience (AI/ML, predictive analytics (Python), SQL, R and PowerBI).

• Experience working with modern data platforms and cloud technologies (e.g., Snowflake, Databricks, DataRobot, Dataiku, AWS, Azure, GCP).

• Deep experience and understanding of commercial datasets, data environments, and data vendors (including Hub, Specialty Pharmacy, patient services, Veeva CRM, syndicated claims, prescriptions, payer, social media/website, Google, Facebook etc.).

• Proven ability to lead cross-functional AI/ML and Analytical initiatives and influence senior stakeholders and to drive adoption of analytic solutions.

• Solid understanding of pharmaceutical commercialization concepts including launches, brand planning, and lifecycle management.

• Demonstrated experience in leading data governance initiatives and processes.

• Demonstrated ability to design and communicate complex systems and analytical solutions to both technical and non-technical audiences, aligning resources and execution to achieve functional and enterprise goals.

• Proven abilities with executive-level communication, data storytelling, and change leadership.

• Demonstrated impact of analytics on commercial strategy, decision making, performance, and ROI.

• Proven ability to lead, coach, and develop talent while building organizational capability in a fast-evolving environment.

• Experience partnering effectively with cross-functional partners and business stakeholders to deliver scalable analytics solutions.

• Ability to balance strategic vision with hands-on prioritization and execution in fast past environment.

Physical Requirements

This role involves regular standing, walking, sitting, and the use of hands for handling or operating equipment. The employee may also need to reach, climb, balance, stoop, kneel, crouch, and maintain visual, verbal, and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds.  This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

#LI-HYBRID #LI-CA1

Director Sales, East at Unframe 

Location: East Coast, USA

About Unframe:

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for a Director of Enterprise Sales to drive go-to-market execution within their assigned region, leading a team of Strategic Account Executives focused on new enterprise acquisition and account expansion.

You’ll partner closely with the Regional Vice President and executive leadership to drive quota attainment, improve deal execution, and scale a high-performance sales culture.

What you’ll do:

• Lead and Develop a High-Performing Team
• Manage and coach Strategic AEs, reinforcing excellence in discovery, multi-threaded engagement, forecasting discipline, and enterprise deal strategy.
• Drive Regional Pipeline and Revenue Execution
• Support team pipeline generation, deal progression, and accurate forecasting across complex, multi-stakeholder enterprise sales cycles.
• Elevate Deal Strategy
• Act as a player-coach in key opportunities, helping AEs navigate C-suite conversations, technical validation, procurement, and compliance stakeholders.
• Ensure strong CRM hygiene, forecast accuracy, pipeline inspection, and adherence to defined sales processes.
• Collaborate with Product Solutions, Partnerships, Marketing, and Customer Success to ensure seamless execution from first meeting through expansion.
• Identify regional market opportunities and provide feedback loops to influence GTM strategy and enablement programs.

What we are looking for:

• 5+ years in enterprise sales leadership or team lead roles.
• 8+ years in enterprise software sales (AI/ML, data infrastructure, digital transformation preferred).
• Experience closing and coaching $1M+ ACV enterprise deals.
• Strong forecasting discipline and pipeline management expertise.
• Deep understanding of consultative, solution-based selling.
• Entrepreneurial mindset, comfortable operating in high-growth, fast-paced environments

Nice to have:

• Experience selling into regulated industries.
• Experience building teams in early-stage or scaling SaaS environments.
• Experience operating within a multi-region enterprise GTM structure.

Why Join us?: 

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

The role

We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability.

You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments.

Your responsibilities will include

• Leading root cause analysis for complex hardware and firmware failures across production fleets

• Aggregating recurring problems and error patterns to identify systemic reliability issues

• Acting as the senior escalation point for hardware-related incidents impacting availability or performance

• Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions

• Partnering with internal engineering teams to validate fixes and prevent recurrence

• Performing hardware and firmware validation before fleet-wide rollout

• Driving structured incident investigations using established IT problem management methodologies

• Supporting on-site teams with technical coordination during critical hardware events

• Improving hardware observability, failure tracking, and reporting processes

• Contributing to long-term hardware reliability strategy and fleet-wide stability improvements

What we expect you to have

• Strong hands-on expertise with server hardware in data center or large-scale production environments

• Proven experience performing root cause analysis of hardware and firmware failures

• Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes

• Experience working directly with hardware vendors and engineering teams to resolve production issues

• Structured problem-solving skills using formal IT or incident management methodologies

• Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns

• Experience coordinating technical activities with on-site operations teams

• Ability to manage multiple concurrent investigations with production impact

• Clear written and verbal communication skills in cross-functional environments

It will be an added bonus if you have

• Experience in GPU-dense, AI, or high-performance computing environments

• Exposure to firmware lifecycle management and large-scale rollout validation

• Familiarity with Linux-based production systems and infrastructure tooling

• Experience improving fleet-wide hardware reliability metrics at scale

Working conditions

• Onsite work in the Vineland New Jersey Data center.

• Participation in incident escalations for production-impacting events

Key employee benefits

• Comprehensive medical, dental, and vision coverage

• 401(k) plan with company contribution

• Flexible paid time off

• Paid parental leave

• Professional development support

Compensation

$125,000 – $180,000 per year plus annual performance-based bonus.

The role

Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale.

Your responsibilities will include:

• Lead end-to-end deployment of GB-series racks within data center environments
• Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers
• Troubleshoot complex hardware, firmware, Linux OS, and networking issues
• Execute structured testing and validation procedures during deployment
• Develop and maintain basic Linux-based hardware health-check and diagnostic scripts
• Coordinate on-site hardware repairs, part replacements, and vendor escalations
• Drive root cause analysis and ensure corrective actions are implemented
• Manage and prioritize deployment timelines across multiple concurrent rollouts
• Provide technical leadership and guidance to on-site engineers and technicians
• Partner with networking and infrastructure teams to ensure seamless integration
• Document deployment processes, validation standards, and operational runbooks

What we expect you to have:

• Strong hands-on experience deploying and operating data center infrastructure
• Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms
• Experience working with high-density rack deployments (GB-series or similar)
• Solid Linux experience, including troubleshooting and scripting
• Ability to diagnose issues across hardware, OS, firmware, and network layers
• Experience coordinating field repairs and working directly with hardware vendors
• Proven experience leading technical teams or overseeing field operations
• High ownership mindset and ability to operate in production-critical environments
• Clear communication skills and ability to collaborate across distributed teams

It will be an added bonus if you have:

• Experience deploying AI or HPC clusters at scale
• Familiarity with automated provisioning or infrastructure lifecycle systems
• Background in hardware qualification, burn-in testing, or factory validation
• Experience supporting rapid infrastructure expansion
• Exposure to ARM-based or heterogeneous compute environments

Working conditions:

• Collaboration with globally distributed engineering and operations teams

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan: up to 4% company match with immediate vesting
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
• Remote work reimbursement: up to $85/month for mobile and internet
• Disability & life insurance: company-paid short-term, long-term, and life insurance coverage

Compensation

• We offer competitive salaries, ranging from $125k- $180k base + quarterly performance bonuses.

Join Nebius today and help build the software that powers the next generation ofAI infrastructure.

The role 

The Data Center Technician Manager leads hands-on technical teams responsible for cabling, hardware installation, and day-to-day data center operations. This role balances people leadership, technical execution, and operational rigor in a 24/7 mission-critical environment.

Your responsibilities will include: 

• Lead and mentor a team of data center technicians supporting fiber, copper cabling, racking, stacking, and infrastructure installs.
• Oversee installation, maintenance, and troubleshooting of low-voltage cabling and communications infrastructure.
• Ensure high-quality execution of fiber and copper terminations, testing, and remediation of complex issues.
• Own and enforce MOP/CMOP processes, change control, and operational best practices.
• Manage work through ticketing and infrastructure management systems, ensuring timely and accurate completion.
• Maintain accurate documentation, port maps, and inventory, supporting audits and operational readiness.
• Drive incident response and escalation for technical issues, ensuring SLA adherence and rapid resolution.
• Lead the use of specialized test equipment (e.g., DSX, OTDR), including test planning and results validation.
• Enforce safety, compliance, and quality standards, promoting a culture of accountability and operational excellence.
• Partner cross-functionally with operations, engineering, and project teams to support deployments, expansions, and upgrades.

We expect you to have: 

• Associate degree or equivalent hands-on experience in IT, networking, or technical services.
• 5+ years of data center or infrastructure experience, including cabling and hardware deployments.
• 2+ years of experience leading technical teams in a mission-critical environment.
• Strong working knowledge of structured cabling standards (BICSI, ANSI/TIA, NEC).
• Experience with fiber optics, copper cabling, servers, networking equipment, and power distribution basics.
• Ability to participate in on-call rotations and perform physical tasks (lifting up to 50 lbs).

It will be an added bonus if you have: 

• Bachelor’s degree in IT, Engineering, or related field.
• Industry certifications (e.g., BICSI, CDCP, CompTIA, ITIL).
• Experience in large-scale data center builds or migrations.
• Familiarity with Linux, scripting (Python/Bash), and data center management tools.
• Strong organizational, communication, and customer-facing skills.

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: up to $85/month for mobile and internet.
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage.

Compensation

We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus.

Join Nebius Today!

The role

Nebius operates large-scale, mission-critical infrastructure. As a Senior Data Center Technician, you will own day-to-day data center operations, ensuring availability, safety, and reliability. You will act as a hands-on expert and escalation point, working closely with facilities, network, and engineering teams in a 24×7 environment.

Your responsibilities will include:

• Operate and maintain data center infrastructure (power, cooling, racks, hardware)
• Troubleshoot and resolve complex incidents to minimize impact
• Lead and execute maintenance, installs, and infrastructure changes
• Serve as technical escalation for on-shift issues
• Monitor systems via DCIM/BMS and respond to alarms
• Participate in incident response, RCA, and documentation
• Enforce safety, security, and compliance standards
• Mentor junior technicians and raise operational standards

What we expect you to have:

• 3+ years in data center or critical infrastructure operations
• Strong hands-on experience with power, cooling, and server hardware
• Power systems (UPS, generators, PDUs, switchgear)
• Cooling systems (CRAC/CRAH, chillers, airflow optimization)
• Server and rack-level hardware
• Proven incident troubleshooting in high-availability environments
• Ability to work shifts in a 24×7 on-site role
• Clear communication and strong ownership mindset

It will be an added bonus if you have:

• Experience with large-scale or hyperscale data centers
• Tier III / Tier IV familiarity
• DCIM/BMS experience
• Relevant certifications (CDCP/CDCS, BICSI, CompTIA, OEM)

Working Conditions:

• On-site, shift-based role (including nights/weekends)
• Physical work in a data center environment

Key employee benefits: 

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 
• 401(k) plan: up to 4% company match with immediate vesting. 
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. 
• Remote work reimbursement: up to $85/month for mobile and internet. 
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage. 

Compensation

We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus.

Join Nebius Today!

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

We are looking for  Warehouse Logistics Specialist to support warehouse and logistics operations for data center hardware. This role focuses on execution of inbound and outbound shipments, maintaining inventory accuracy, and ensuring timely equipment provisioning for data center operations.The position requires strong attention to detail, hands-on work with IT equipment, and adherence to established processes and standards.

Your responsibilities will include: 

1. Warehouse & Shipment Operations

• Process inbound and outbound shipments in accordance with established procedures.
• Verify shipment contents against documentation upon receipt and dispatch.
• Ensure proper handling, labeling, and packaging of equipment.
• Coordinate with warehouse providers and internal teams on shipment execution.

2. Inventory & Asset Management

• Participate in cyclical and annual inventory checks.
• Maintain accurate records in inventory systems (ERP/WMS).
• Create inventory items for all received equipment.
• Assist in identifying and reporting inventory discrepancies.

3. Equipment Handling & Testing

• Perform testing of server drives and memory modules according to standard procedures.
• Ensure equipment readiness before provisioning to data center engineers.
• Maintain proper documentation of tested and deployed equipment.

4. Operational Support

• Provide required equipment to data center operation engineers in a timely manner.
• Support daily warehouse activities and logistics workflows.
• Follow SOPs and contribute to process improvement suggestions.

We expect you to have:

• 2+ years of experience in warehouse logistics or a related field.
• Basic understanding of IT equipment (servers, networking hardware, components).
• Familiarity with inventory management processes and systems (ERP/WMS).
• Strong attention to detail and organizational skills.
• Ability to follow procedures and work in a structured environment.
• Willingness to travel for business needs.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer a competitive rate from $30/hr - 44/hr, based on your experience.

Join Nebius Today!

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

We are looking for Warehouse Logistics Specialist to support warehouse and logistics operations for data center hardware. This role focuses on execution of inbound and outbound shipments, maintaining inventory accuracy, and ensuring timely equipment provisioning for data center operations.The position requires strong attention to detail, hands-on work with IT equipment, and adherence to established processes and standards.

Your responsibilities will include: 

1. Warehouse & Shipment Operations

• Process inbound and outbound shipments in accordance with established procedures.
• Verify shipment contents against documentation upon receipt and dispatch.
• Ensure proper handling, labeling, and packaging of equipment.
• Coordinate with warehouse providers and internal teams on shipment execution.

2. Inventory & Asset Management

• Participate in cyclical and annual inventory checks.
• Maintain accurate records in inventory systems (ERP/WMS).
• Create inventory items for all received equipment.
• Assist in identifying and reporting inventory discrepancies.

3. Equipment Handling & Testing

• Perform testing of server drives and memory modules according to standard procedures.
• Ensure equipment readiness before provisioning to data center engineers.
• Maintain proper documentation of tested and deployed equipment.

4. Operational Support

• Provide required equipment to data center operation engineers in a timely manner.
• Support daily warehouse activities and logistics workflows.
• Follow SOPs and contribute to process improvement suggestions.

We expect you to have:

• 2+ years of experience in warehouse logistics or a related field.
• Basic understanding of IT equipment (servers, networking hardware, components).
• Familiarity with inventory management processes and systems (ERP/WMS).
• Strong attention to detail and organizational skills.
• Ability to follow procedures and work in a structured environment.
• Willingness to travel for business needs.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer a competitive rate from $30/hr - 44/hr, based on your experience.

Join Nebius Today!

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The Role  
The Data Center Infrastructure Engineer will lead on-site delivery and deployment of hardware in new locations. You will plan, coordinate, and supervise activities from shipment arrival through full operational readiness, ensuring that servers, storage, networking, and supporting systems are installed and functioning according to specifications. 
 
Key Responsibilities: 
Planning & Coordination 
-Own the hardware deployment plan for new sites, aligning timelines, scope, and resources with project stakeholders. Coordinate with logistics, supply chain, data center construction, and network teams to prepare sites for delivery and installation. Verify all pre-deployment requirements (racks, power, cooling, connectivity) are met. 
 
On-Site Delivery & Installation 
 -Supervise receiving, unpacking, racking, cabling, and powering hardware equipment. 
 -Ensure configuration, firmware upgrades, and integration with management systems follow standards. 
 -Work closely with vendors, contractors, and local staff during the installation phase. 
 
Quality & Readiness 
 -Conduct functional checks, acceptance tests, and troubleshooting to confirm all systems operate correctly. Document installation steps, asset data, and lessons learned for future rollouts. Establish and maintain best practices for safe, efficient hardware deployment. 
 
Collaboration & Reporting 
 -Act as the single point of contact on site for deployment activities, providing clear updates to project managers and leadership. Support transition of deployed hardware to operations teams for steady state management. Contribute feedback to improve hardware design and deployment playbooks. 
 
Requirements: 
 -5+ years experience in data center, hardware, or IT field delivery roles. 
 -Strong knowledge of server, storage, and network installation practices (racking, cabling, power, cooling). 
 -Proven track record coordinating deployments across multiple stakeholders and vendors. 
 -Ability to read and interpret technical documentation, layouts, and wiring diagrams. 
 -Excellent organizational, communication, and problem-solving skills. 
 -Willingness to travel frequently (sometimes at short notice). 
 
Preferred Experience: 
 -Experience with GPU/HPC or high-density computer environments. 
 -Familiarity with change management, asset tracking, and quality assurance processes. 
 -Understanding of health, safety, and environmental standards in data center or industrial settings. 

Key Employee Benefits in the US:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer competitive salaries, ranging from $90 -$140k.

Join Nebius Today!

The Role

The Data Center Manager owns end‑to‑end reliability, safety, capacity, and performance for one of our flagship U.S. sites. You’ll lead a high‑performing, multi‑disciplinary operations team and partner tightly with Design, Build, Network, Security, Capacity Planning, and the DC orgs to deliver world‑class availability and cost efficiency.

Your responsibilities will include:

• Lead day-to-day data center operations in a 24/7 mission-critical environment
• Manage and develop a team of 15–20 Data Center Technicians
• Oversee installation, break/fix activities, and field change orders
• Ensure timely delivery of tasks aligned with KPIs and operational milestones
• Monitor infrastructure performance; drive troubleshooting, incident response, and root cause analysis
• Own incident management, including resolution and post-incident reviews
• Plan and execute capacity expansion (rack, block, and site growth)
• Maintain physical security, access controls, and compliance with standards
• Partner cross-functionally (Engineering, Build, Site Selection, Operations)
• Manage vendors and contractors to deliver high-quality, cost-effective solutions
• Drive continuous improvement across processes, efficiency, and reliability
• Support hiring and team scaling efforts

We expect you to have:

• 5+ years of experience in data center operations; 2+ years in a leadership role
• Strong knowledge of servers, storage, networking, and data center infrastructure
• Experience with power systems (UPS, backup), cooling, and physical infrastructure
• Proficiency in Linux environments
• Experience with incident management and operational processes in high-availability environments
• Strong project management experience (budgeting, vendor management, resource planning)
• Understanding of security, compliance, and disaster recovery best practices
• Ability to work cross-functionally and drive execution across teams
• Strong leadership, communication, and problem-solving skills
• Ability to lift up to 50 lbs and support on-site operational needs
• Willingness to participate in a 24/7 on-call rotation
• Bachelor’s degree in IT, Computer Science, or related field (or equivalent experience)

It would be an added bonus if you have:

• Familiarity with ITIL / ITSM processes
• Experience with GPU clusters, HPC, or cloud infrastructure
• Understanding of data center network traffic patterns (east-west and north-south)
• Experience with data center management and monitoring tools

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: up to $85/month for mobile and internet.
• Disability & life insurance: company-paid short-term, long-term and life insurance coverage.

Compensation

Join Nebius Today!

The AI Solution Lead will work closely with engineering teams and client stakeholders to translate cutting-edge AI capabilities into reliable production systems, while ensuring governance, transparency, and responsible AI practices.

The ideal candidate combines technical depth, research awareness, and strong communication skills, enabling them to represent our company confidently in front of senior client stakeholders.

Key Responsibilities

AI Solution & Design

• Design and deliver enterprise-grade AI solutions leveraging Generative AI and Large Language Models.
• Define designs for LLM-based systems, agentic workflows, retrieval-augmented generation (RAG), and AI copilots.
• Evaluate and select appropriate models, frameworks, and infrastructure for production AI systems.
• Ensure scalability, reliability, and performance of deployed AI solutions.

Machine Learning & Model Expertise

• Provide deep technical expertise in:
• Large Language Models (LLMs)
• Transformer architectures
• Generative AI techniques
• Model evaluation and benchmarking
• Design approaches for fine-tuning, prompt engineering, and model adaptation.
• Guide teams on best practices in ML pipelines, experimentation, and model lifecycle management.

Production Deployment & MLOps

• Lead deployment of machine learning and GenAI systems into production environments.
• Architect and implement MLOps pipelines, model monitoring, and continuous improvement processes.
• Ensure AI systems are secure, scalable, and operationally maintainable.

AI Governance & Responsible AI

• Implement frameworks for:
• AI governance
• Model explainability
• Transparency
• Risk management
• Ensure compliance with enterprise AI governance standards and regulatory expectations.
• Define policies for model validation, bias mitigation, and responsible deployment.

Client Engagement & Technical Leadership

• Act as a trusted technical advisor to client stakeholders.
• Clearly communicate complex AI concepts to executives, architects, and engineering teams.
• Represent the company with credibility in technical and strategic discussions around AI adoption.
• Work closely with client teams to translate business problems into AI-driven solutions.

Research & Innovation

• Stay current with emerging developments in:
• Generative AI
• Large language models
• AI agents and agentic architectures
• AI infrastructure and tooling
• Evaluate new research and technologies to determine their practical applicability in enterprise environments.
• Help shape the organization’s AI strategy and technical direction.

Required Qualifications

• Master’s degree in Data Science, Machine Learning, Computer Science, or related field.
• Strong expertise in machine learning fundamentals and modern generative AI technologies.
• Proven experience designing and deploying AI/ML systems in production environments.
• Deep knowledge of:
• Large Language Models
• Generative AI architectures
• ML pipelines and model lifecycle management
• Experience working with AI frameworks and ecosystems used for building GenAI applications.
• Experience implementing AI governance, explainability, and responsible AI practices.
• Strong understanding of enterprise software architecture and distributed systems.

Preferred Qualifications

• Experience with agentic AI systems and orchestration frameworks.
• Experience building RAG-based AI systems.
• Familiarity with AI platform engineering and scalable AI infrastructure.
• Contributions to AI research, open-source projects, or technical publications.
• Experience working with enterprise clients in regulated industries.

Key Skills

Technical Skills

• Machine Learning & Data Science
• Large Language Models (LLMs)
• Generative AI systems
• AI agents and agentic framework
• MLOps and model lifecycle management
• AI governance and explainability

Professional Skills

• Strong analytical and problem-solving capabilities
• Excellent communication and presentation skills
• Ability to simplify complex AI concepts for diverse audiences
• Collaborative mindset and ability to work effectively within teams
• Client-facing professionalism and credibility

Work Environment

• Full-time in-office role with collaboration across engineering and client teams.
• Weekly client visits for workshops and solution design sessions.
• High collaboration with data scientists, engineers, architects, and business stakeholders.

What Success Looks Like in This Role

• Successfully designed and deliver production-grade AI systems.
• Become a trusted AI advisor to both internal teams and client stakeholders.
• Ensure responsible and governed adoption of AI technologies.
• Help organizations translate GenAI innovation into real operational value.

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

The Auth0 Sales Team

Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Auth0 AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

The Strategic Auth0 Account Executive Opportunity

The successful Auth0 Account Executive is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and about driving protection against the biggest identity threats.

As an Auth0 AE, you will be focused on providing value to Application Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Auth0 customers. 

This role requires travel to our San Francisco, CA or Chicago, IL office for in-person onboarding during the first week of employment. If reasonable accommodation is needed to participate in the job application, interview process, or onboarding please use this Form to request an accommodation.

What you’ll be doing: 

• Build a plan to guide your long-term approach to net new logo pipeline generation 
• Consistently deliver revenue targets to support YoY territory growth 
• Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings
• Identify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers  
• Scope, negotiate and close agreements to meet and exceed revenue quota targets 
• Holistically embrace, access, and utilize partners to identify and open opportunities 
• Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc) 
• Travel as necessary to build and cultivate customer and prospect relationships

What you’ll bring to the role:

• 12+ years success in growing revenue for sophisticated, complex enterprise SaaS products
• Ability to evangelize, educate and create demand within the CTO organization, with a strong track record of pitching and closing to Product, Engineering, and Architecture decision makers
• Deep technical discovery skills that resonate with the developer community 
• Strong technical acumen with proven ability to connect a technical sale to a companies’ business outcomes
• Excellent communication and presentation skills with audiences of all levels and all technical aptitudes
• Confident and self driven with the humility required to successfully work in teams
• Expertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC)

#LI-Remote

P22910_3412170

Robots & Pencils is seeking a seasoned AWS AI Solutions Architect to lead the design and delivery of complex, enterprise-grade generative and agentic AI systems built on Amazon Web Services. You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services. 
 
As an AWS AI Solutions Architect, you will serve as a strategic technical advisor—translating ambiguity into structured AWS-native architectures, validating designs through hands-on prototyping, and ensuring every solution aligns with the AWS Well-Architected Framework (including ML Lens) while delivering measurable business value. 

Key Responsibilities 

Client Engagement & AWS Solutions Architecture 

• Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production. 

• Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway. 

• Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch. 

• Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives. 

• Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services. 

• Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles. 

Outcome Ownership & Business Impact 

• Own architectural integrity from concept through production deployment on AWS. 

• Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. 

• Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance. 
  Accelerate time-to-value through reusable AWS accelerators, Infrastructure as Code (CloudFormation/Terraform/CDK), and CI/CD automation. 

• Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities). 

Engineering Leadership & Delivery Excellence 

• • Provide architectural oversight to Forward Deployed Engineers and AWS delivery teams. 

• Establish best practices for MLOps on AWS including model lifecycle management, monitoring, and observability using SageMaker, CloudWatch, CloudTrail, and AWS Config. 

• Define governance, responsible AI guardrails, Bedrock Guardrails configuration, and security controls for enterprise environments. 

• Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies. 

• Make principled tradeoffs under constraints related to privacy, compliance (SOC2, HIPAA, GDPR), cost, and operational complexity. 

Cross-Functional Collaboration 

• Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings. 

• Contribute AWS reference architectures and reusable infrastructure modules to internal accelerators. 

• Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping. 

• Collaborate across distributed teams and client stakeholders across North America. 

Required Skills & Qualifications 

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
  • 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership. 
  • Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services. 
  • Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies. 
  • Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services. 
  • Strong knowledge of distributed systems, event-driven architectures, and serverless patterns. 
  • Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform). 
  • Hands-on development capability in Python and AWS SDKs. 
  • Experience implementing observability and monitoring strategies in AWS environments. 
  • Proven success leading enterprise-scale AWS transformations. 
  • Exceptional communication skills for both technical and executive audiences. 
  • AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional). 

Nice to Have 

• AWS Specialty certifications (Machine Learning – Specialty, Security – Specialty).
  • Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock. 
  • Experience building secure multi-account AWS organizations using Control Tower. 
  • Exposure to data engineering services such as Glue, Redshift, Lake Formation. 
  • Consulting or professional services background. 

Personal Competencies 

• Accountability – Owns AWS architectural direction and client outcomes with rigor.
  • Adaptability – Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
  • Collaboration – Builds trust across engineering and executive stakeholders. 
  • Execution-Focused – Balances innovation with production-ready AWS delivery. 
  • Innovation-Minded – Experiments responsibly with emerging AWS AI services. 
  • Craftsmanship – Designs secure, scalable, and well-documented AWS systems. 
  • Leadership with Courage – Drives architectural alignment in complex environments. 
  • Comfort in Ambiguity – Translates unclear AI requirements into AWS-native solution architectures. 

Why Join Robots & Pencils? 

We build smart systems for a human world — blending creativity, engineering, and AWS-powered AI to help organizations reimagine how they work. As an AWS AI Solutions Architect, you will shape enterprise-scale generative and agentic AI platforms using the most advanced AWS services available. You will define architectures that deliver measurable business value, mentor teams, and directly influence the evolution of our AWS AI practice. 

The Enterprise Sales Team

Are you passionate about technology and making your customers successful, and do you have the ability to articulate the value and return on investment of an enterprise solution across multiple decision makers? Do you want to help bring Okta to the next level?  

If you answered yes to these questions then this could be the role for you, are you up for the challenge.  We are seeking a passionate, results oriented, sales professional to drive revenue growth calling on Enterprise accounts.  

The Enterprise Account Executive Opportunity

We need an EAE who will continually ensure assigned territory growth with net new logos and profitability by developing solid business relationships with new and existing clients for Okta. You will plan and execute strategies and sales tactics in the following areas: generating new business, territory planning, pre-request for proposal prospecting, relationship development, pricing, presentation and delivery (finalist or other), negotiations, closing and executing contracts.

We also require an EAE that can identify net new leads that fit within ideal client profiles to market the company’s products and services that will meet potential client’s needs. You will initiate contact and follow-up on sales meetings and teleconferences, meet sales objectives and targets at profitable rates, move prospects into implementation, and meet established sales goals and quota schedule per plan year’s objectives. You will work with sales support to initiate customized proposals and communication for prospective clients and develop familiarity with potential clients to best meet their needs and to field inquiries.

What you’ll be doing: 

• Establish a vision and plan to guide your long-term approach to net new logo pipeline generation.
• Consistently deliver ARR revenue targets to support 40% YOY growth – dedication to the number and to deadlines.
• Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings.
• Land, adopt, expand, and deepen sales opportunities with Enterprise accounts in your Region.
• Explore the full spectrum of relationships and business possibilities across the client’s entire org chart.
• Become known as a thought-leader in Okta’s platform.
• Expand relationships and orchestrate complex deals across more diverse business stake-holders.
• Holistically embrace, access, and utilize the channel/alliances to identify and open new, uncharted opportunities.
• Work as a team for the most efficient use and deployment of resources. Provide timely and insightful input back to other corporate functions.
• Position Okta at both the functional and “business value” level with target stakeholders.
• Champion Okta to prospective clients at sales presentations, site visits and product demonstrations
• Build effective working partnerships with your Okta colleagues (channel partners, sales engineering, business value management, customer first and many more globally) with humility and enthusiasm.

What you’ll bring to the role:

• You will have 8+ years of a consistent track record of employment with direct field sales experience developing net new logos selling enterprise cloud software to enterprise companies.
• You have previous experience utilizing partners, channels, and alliances to sell more successfully and overachieve your quota.
• You have sold a similar complex solution software and have experience in any of the following: enterprise cloud software or infrastructure management, application development and management, security, business applications, and/or analytics.
• You have a measurable track record in new business development and over achieving sales targets.
• Experience in selling complex enterprise software solutions and ability to adapt in high growth, fast-growing, and changing environments and can adapt quickly.
• Experience in successfully selling during market creation phase.
• Proven track record of successfully closing six figure software cloud deals with prospects and customers in the defined territory.
• Experience in the “C” suite, strong executive presence and polish, and excellent listening skills.
• Experience with target account selling, solution selling, and/or consultative sales techniques; knowledge of MEDDIC and Challenger methodologies is a plus.
• Bachelor's degree; MBA a plus or equivalent experience.

*This role will require in person onboard in San Francisco for the first two days. 

#LI-Remote
P12643_3365428

The Data Product Manager – Curation is responsible for designing and managing curated data products that power reporting, analytics, and emerging advanced analytics use cases across RSI like Machine Learning. This role focuses on building trusted, well-modeled, and well-documented data layers that translate raw source data into reusable, business-aligned datasets. 

The position partners closely with analytics and analyst teams as well as data and analytics engineering to improve data consistency, usability, and self-service adoption. While machine learning and advanced analytics are longer-term areas of evolution, this role lays the semantic and structural foundation required to support them in the future. This role is critical to closing the gap between ingestion and insight and strengthening RSI’s enterprise data maturity. 

What You'll Do:

• Design and manage curated data products composed of fact and dimension tables optimized for reporting, analytics, and downstream analytical use cases. 
• Develop and maintain semantic and subject-area data models that support analytics self-service and consistent business definitions. 
• Partner with analytics and BI teams to understand reporting needs and translate them into scalable, reusable curated datasets. 
• Lead schema design, join logic, and standardization efforts to improve trust, consistency, and cross-domain usability of data. 
• Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization. 
• Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible. 
• Establish governance standards for curated datasets, including documentation, lineage, naming conventions, and data quality monitoring. 
• Track adoption and usage of curated data products, incorporating stakeholder feedback to iteratively improve models and definitions. 

What You'll Bring:

• Bachelor’s degree in Information Systems, Data Science, Computer Science, or a related field, preferred, or equivalent experience. 
• 5+ years of experience in data product, analytics infrastructure, or data modeling roles. 
• Stakeholder Management: 5+ years of experience partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products. 
• Analytics & Product Thinking: Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making. 
• Data Modeling: 3+ years of experience designing dimensional models, schemas, and semantic layers for analytics or reporting use cases. 
• ML Awareness (Foundational): General familiarity with how curated data may support future ML or advanced analytics use cases (e.g., feature readiness, aggregation strategies), without expectation of hands-on model development. 
• Technical Proficiency: Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets. 
• Documentation & Governance: Experience maintaining semantic definitions, data catalogs, and quality standards to ensure data is discoverable, explainable, and trustworthy. 
• Able to travel occasionally both domestically and internationally. #LI-REMOTE 

Overview: 

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Machine Learning Engineer.  As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models. 

What you’d be doing: 

• Design and implement robust, scalable, and efficient data pipelines for training machine learning models. 
• Develop prediction pipelines to ensure seamless integration of trained models into production environments. 
• Create APIs and microservices to facilitate communication between machine learning models and other software modules. 
• Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments. 
• Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time. 
• Optimize orchestration processes to ensure efficient deployment and management of ML models. 
• Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance. 
• Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency. 

We’re looking for someone who has: 

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.  
• 5-7 years of experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure. 
• Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). 
• Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow. 
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. 
• Experience in deploying machine learning models in production environments and managing model lifecycle. 
• Excellent problem-solving skills and ability to work independently as well as part of a team. 
• Strong communication skills and ability to collaborate effectively with cross-functional teams. 

Data at SageSure 

At SageSure, data isn’t just a function—it’s a force for innovation. Our Data organization brings together Data Science, Business Intelligence, and Data Management to power smarter decisions and deliver meaningful impact across the business. From predictive modeling to scalable data ecosystems and actionable insights, we turn complex information into clarity that drives real results. 

We’re building a team of curious, collaborative problem-solvers who are passionate about using data to make a difference. Whether you’re advancing machine learning capabilities, strengthening data governance, or uncovering insights that shape strategy, you’ll play a critical role in defining how SageSure uses data to lead the future of insurance. 

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our Strategic accounts in the NY/NJ Region reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

LOCATION

Seeking candidates in the New York/New Jersey metro area. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at strategic customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

At JetBrains, code is our passion. Since we started in 2000, we have strived to make the most effective developer tools on earth so developers can learn fast and make amazing things happen – with code. Customer Success Engineers (CSE) are technical points of contact for JetBrains customers. They work with the JetBrains product teams and customers to ensure that the products meet the needs of our enterprise users, helping our products retain their position as the best on the market.

Many of our customers begin with a set of strategic projects that grow into sizable partnerships. We are looking for Customer Success Engineers to build great technical relationships with our customers and grow JetBrains' business. We care deeply about the success of our customers and about the quality of our work. In addition to having a passion for working with others, the ideal candidate will be able to deepen our relationships with customers and serve as a technical advisor to them.

In this role, you will:

• Work closely with JetBrains Account Executives.
• Help customers adopt JetBrains products and services to achieve desired business outcomes. This responsibility may include whiteboarding and assisting with the development of architecture or providing support for overcoming technical and cultural barriers to adoption.
• Manage the technical relationships for a portfolio of accounts, and partner with other members of the account team to define and implement the account strategies.
• Be the customers’ advocate within JetBrains, representing them to the Support and Product Engineering teams, as well as other groups.
• Recommend product enhancements based on your experiences with the customers and the feedback you receive from them.
• Help product teams present and evaluate new product ideas to the customers in your portfolio.
• Act as a trusted technical advisor to customers, staying up to date on the ever-evolving state of technology both within JetBrains and in the field at large.
• Work with Sales to facilitate account expansions by developing short-term and long-term account plans that meet customer needs.

We will be happy to have you on our team if you have:

• Proven experience in technical consulting, technical customer success, or other customer-facing technical roles.
• Extensive experience in software development, QA, IT, DevOps, ML, or any related IT field – the wider the variety of fields, the better.
• Hands-on knowledge of AI/LLMs in the field of software development.
• A passion for continually improving the customer experience.
• Strong verbal and written communication skills in English and the local language of your office.
• Exceptional presentation skills for demonstrating JetBrains products to customers.
• The ability to quickly identify and address technical and business challenges related to software development tooling.
• The ability to convey technical concepts to customers of all technical backgrounds.
• Comfort in a fast-paced and dynamic working environment.
• Experience working in or with large software development teams.
• A collaborative and team-focused mentality, with a willingness to take initiative.
• Self-direction and resourcefulness.
• The ability to travel approximately 25% of the time.

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About Schumacher

Schumacher & Co. is an innovative interior design company that is disrupting the $150 billion-dollar global interior design industry. We are a technological leader on the design frontier, constantly pushing boundaries and striving for excellence. With over 500+ employees and growing, we are driven by a shared belief that design transforms life. We are dedicated to the mission of helping our customers “celebrate the feeling of home”. Schumacher designs and produces some of the most beautiful fabrics, wallcoverings, trims, furniture, and accessories in the world. Our portfolio of products is broad, but they are united by a passion for design, a thirst for what is next, an appreciation for what’s come before, a drive to make our products with enormous care and attention for detail. Schumacher is a globally recognized company with a myriad of showrooms both domestically and internationally.

Our competitive advantage in the industry is the people. We believe that our employees are our most important assets. F. Schumacher & Co is deeply anchored in our company core values which are as follows:

• Preserve Our Entrepreneurial Spirit
• Take Ownership & Accountability
• Be Solutions-Oriented
• Demonstrate Courage
• Practice Adaptability
• Embrace Collaboration

We empower our employees to live these values daily because we understand how it will positively impact the customer's journey. F. Schumacher & Co., also known as FSCO, is the parent company to many brands within our portfolio.

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

Responsibilities:

• Build complex multi-agent AI agents that are highly scalable
• Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system
• Engineer and refine prompts to enhance AI performance and output quality
• Deploy and scale AI solutions using AWS (Lambda, cloud services) and modern architectures
• Ensure AI applications align with ethical standards, data privacy, and real-world scalability
• Develop, fine-tune, and optimize generative AI models using TensorFlow, PyTorch, or Hugging Face

Requirements:

• Work with current state of the art LLMs and embedding models
• Experience building agentic AI systems
• Experience with debugging traces of LLM calls to identify errors/optimizations
• Experience with building Retrieval-Augmented Generation (RAG) systems
• Engineer and refine prompts to enhance AI performance and output quality
• Knowledge of extracting structured outputs from LLMs
• Experience using LLM APIs, embedding models, and RAG-based AI architectures
• Strong skills in Python, AI model deployment, and AWS services (Lambda preferred)
• Knowledge of LangChain, Pydantic, and scalable AI workflows
• Proficiency in prompt engineering and optimization techniques
• Some UI/UX experience is a plus

Qualifications:

• Minimum 5 years of experience in AI/ML development and data engineering
• Proficiency in programming languages Python
• Strong experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with data engineering tools like Apache Spark, Apache NiFi, Airflow, or similar
• Expertise in handling large-scale datasets and implementing ETL/ELT pipelines
• Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes)
• Knowledge of database technologies (SQL, NoSQL, Data Lakes, Data Warehouses)

Preferred Qualifications:

• Experience in NLP, Generative AI, or deep learning models
• Proven track record of deploying AI solutions at scale
• Research background in generative AI models
• Ability to integrate code into real world application
• Understanding AI ethics, bias mitigation, and responsible AI principles
• Prior experience in the financial or banking sector is a plus

#LI-JJ1 #LI-Onsite

Salary Range: $160,000.00 - $200,000.00

The Opportunity...

We are seeking a deeply technical Senior Product Manager to lead our File Server data protection and recovery portfolio across enterprise NAS and cloud-based file services. This role requires hands-on expertise with major NAS platforms and the ability to engage at the architectural level with engineering, storage administrators, and cloud infrastructure teams. You will own strategy and execution for protecting large-scale unstructured data environments, delivering resilient, high-performance, and cyber-hardened recovery solutions across hybrid and multi-cloud deployments.

What You'll Do...

• Own product strategy and roadmap for enterprise File Server data protection across on-prem NAS and cloud-native file services
• Define technically rigorous requirements grounded in deep knowledge of file systems, metadata structures, snapshot technologies, replication models, and change tracking mechanisms
• Hands-on experience with at least one major NAS vendor (NetApp,Dell EMC Isilon, HPE, Pure Storage, VAST) and Cloud File services (Azure Files Amazon FSx, EFS, Google Filestore)
• Leverage vendor APIs, NDMP, snapshot orchestration, replication frameworks, and scale-out architectures to deliver differentiated capabilities
• Design and evolve backup and recovery workflows for large-scale, petabyte-class unstructured data environments
• Partner directly with Engineering in architecture reviews, API design discussions, scalability planning, and performance optimization
• Validate real-world deployability by engaging hands-on with lab environments, proof-of-concepts, and customer production architectures
• Define performance and recovery SLAs, optimize metadata indexing strategies, and address bottlenecks in large directory structures and high-velocity environments
• Support technical sales engagements, competitive positioning, and field enablement with strong architectural credibility

Who You Are...

Required Skills & Experience:

• 8+ years of product management experience in enterprise storage, NAS systems, or data protection platforms
• Bachelor’s degree in engineering, Computer Science, or related technical discipline, MBA preferred
• Understanding of file system internals, snapshot and replication technologies, NDMP, quotas, tiering, multiprotocol access (NFS/SMB), and scale-out storage architectures
• Experience with cloud-based file services (Amazon FSx, Azure Files, Google Filestore, or cloud-hosted NAS solutions)
• Ability to engage engineering teams at a design and architectural level, not just at a requirements level
• Strong written and verbal communication skills with the ability to influence senior technical stakeholders

 Preferred Skills & Experience:

• Experience designing backup architectures for petabyte-scale NAS deployments
• Hybrid cloud file architecture experience spanning on-prem NAS and cloud-native file platforms
• Experience influencing storage vendor roadmaps or working with OEM/technology alliance partners
• Exposure to high-performance file workloads (AI/ML pipelines, media rendering, analytics datasets)

You’ll love working here because...

• Continuous professional development, product training, and career pathing
• An inclusive company culture, opportunity to join our Employee Groups  
• Generous benefits supporting your health, financial security, and work-life balance 
• Employee stock purchase plan (ESPP)

Ready to #makeyourmark at Commvault? Apply now! 

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The Opportunity...

Commvault is looking for a Senior Product Manager to define and deliver the next generation of data protection for modern cloud database and AI workloads. In this role, you’ll drive product strategy, direction, and execution for Commvault data protection solutions that safeguard cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock), vector databases (e.g., Pinecone and others), and NoSQL databases across on-prem and public cloud environments.

You’ll work closely with engineering, design, sales, marketing, and cloud/technology partners to turn customer problems into differentiated roadmap outcomes—shipping capabilities that improve resiliency, recovery performance, security, and operational simplicity. This is a hands-on role for a product leader who can dive deep into cloud architectures and database internals, move fast, and consistently deliver.

What You'll Do... 
 

Product Vision

• Define and drive product strategy, direction, and a multi-release roadmap for protecting:
  • Cloud AI platforms and services (e.g., Amazon SageMaker, Amazon Bedrock, and emerging managed AI services)
  • Vector databases (e.g., Pinecone, Milvus, Weaviate, pgvector)
  • NoSQL databases across on-prem and cloud (e.g., MongoDB, Cassandra, DynamoDB, Cosmos DB) and other modern data services
• Identify new opportunities driven by GenAI/ML adoption, vector search, and modern cloud architectures—and translate them into shipped product outcomes
• Turn customer needs, field feedback, and partner requirements into clear, differentiated capabilities and crisp PRDs/user stories

Lead Product Execution

• Own the end-to-end product lifecycle—from discovery and validation to launch, adoption, and continuous improvement—delivering roadmap commitments with an agile mindset
• Work closely with engineering on architecture, design decisions, and trade-offs
• Define requirements for cloud-native protection and recovery
• Ensure solutions meet enterprise standards for scalability, reliability, security, and performance

Engage Customers and the Market

• Partner directly with enterprise customers and design partners
• Lead competitive analysis and product positioning
• Support go-to-market efforts with sales and marketing
• Partner with sales teams to drive product success—supporting pipeline creation, enablement, competitive wins, and customer expansion with clear messaging and playbooks
• Represent the product in customer briefings, industry events, and analyst discussions

Who You Are...

Essential Skills & Experience:

• Bachelor’s degree in engineering, Computer Science, or related technical discipline
• 8+ years of product management or engineering experience (or equivalent technical leadership) in enterprise software, cloud platforms, databases, and/or data protection
• Hands-on experience with public cloud (AWS, Azure, or GCP) and protecting/operating cloud workloads, including identity/IAM, networking, encryption/KMS, and cloud-native APIs
• Hands-on experience administering, building on, or integrating with at least one modern database platform (vector and/or NoSQL) such as Pinecone, Milvus/Weaviate, MongoDB, Cassandra, DynamoDB, or Cosmos DB
• Working knowledge of cloud AI/ML platforms and services (e.g., Amazon SageMaker, Amazon Bedrock) and the data flows that power AI applications
• Ability to engage engineering teams at a detailed architectural level, write clear requirements, and make trade-offs across security, performance, reliability, and usability
• Strong cross-functional leadership and communication skills, with experience partnering with sales and customer-facing teams to drive adoption and revenue outcomes

Preferred Skills & Experience:

• MBA preferred.
• Experience protecting large-scale, multi-terabyte or multi-petabyte database environments
• Experience with AI/ML data pipelines and vector search architectures.
• Familiarity with Kubernetes, containerized workloads, and infrastructure-as-code.
• Experience with SaaS or multi-tenant data platforms.
• Knowledge of compliance requirements (SOC2, GDPR, HIPAA, etc.).

You’ll love working here because...

• Continuous professional development, product training, and career pathing
• An inclusive company culture, opportunity to join our Employee Groups  
• Generous benefits supporting your health, financial security, and work-life balance 
• Employee stock purchase plan (ESPP)

Ready to #makeyourmark at Commvault? Apply now! 

#LI-JS1

#LI-Remote

Job Summary

As a Business Development Representative supporting a diverse group of agents in the Northeast Region (New Jersey, Pennsylvania, Connecticut, Massachusetts, and Maryland), you’ll be joining a collaborative and supportive team of professionals, focused on cultivating, developing, and expanding relationships. In addition, you’ll have the opportunity to generate new opportunities as we’ll provide you with the tools, support, and training. You will drive new business and renewal production while on-boarding new agents and help ISC achieve our growth objectives. Most importantly, this job can put you on the career path you’ve been looking for. At ISC we promote, recognize, and develop our talent so please consider starting this process with us, we have more to tell you!

Position Responsibilities

• Contact new and existing brokers to explain features and benefits of our programs.
• Compile, organize and relay crucial information to close quotes.
• Maintain producer marketing database.
• Facilitate product webinars and website demonstrations.
• Execute weekly telephonic campaigns to maintain a pipeline of qualified agency appointments.
• Assist with corporate communications, marketing, and advertising.
• Participate in various industry trade shows.
• Recommend ideas for and following up on corporate and individual promotions.
• Develop referrals from brokers, carrier partners, and other vendors.
• Complete special projects as assigned by management and perform other duties as requested.

Minimum Qualifications:

• Associates Degree required
• Bachelor’s Degree preferred
• Minimum of 2-3 years’ previous sales and/or marketing experience
• 1 year of commercial insurance product experience or 2 years of personal lines sales experience required
• Demonstrated oral and written communication skills.
• Experience in the commercial insurance industry is preferred
• Proficiency in Microsoft Outlook, Excel, and Word, and aptitude to navigate software easily.
• Bi-lingual (English + Spanish) preferred.

This role also offers bonus pay. Your Talent Acquisition representative will share more details about the bonus component should you advance in the interview process.

FEQ427R309

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Role: Principal Data Scientist - Commercial Analytics

Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science

Location: NY / NJ (USA)

Summary:  The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success

Desired Experience : 

• 8–12 years of overall experience.
• 3+ years in consulting or client-facing analytics roles.
• 3+ years of experience in CPG or adjacent commercial analytics environments.
• Proven experience engaging with senior stakeholders and leading client conversations.
• Strong track record in data science, statistics, and machine learning

Role & Responsibilities :

• Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions
• Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).
• Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders
• Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.
• Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution and customer engagement
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Primary Skills (Mandatory)

• Strong foundation in ML and statistical concepts.
• Proficiency in SQL, Python, and PySpark.
• Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.
• Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.
• Ability to convert rigorous analysis into strategic recommendations.
• Strong project management, communication, and team leadership skills
• Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space

 Secondary Skills (Good to have):

• Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.
• Data engineering / MLOps experience.
• Dashboarding experience with Power BI or Tableau
• Exposure to Agentic AI / LLMs or any other Gen AI capabilities

FEQ227R259

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 8+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ227R228

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 3+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

What We're Looking For

The AI Transformation Manager reports to the Chief Data and AI Officer and plays a critical role in driving Cross River’s AI-led transformation and commercialization strategy. This position is responsible for orchestrating the end-to-end implementation of AI initiatives across the enterprise—bridging strategy, productization, compliance, and delivery to ensure measurable business impact. The ideal candidate combines deep expertise in AI/ML program management with a pragmatic understanding of financial services and regulatory environments.

Responsibilities:

Strategy & Governance

• Define and manage the AI Transformation roadmap, ensuring alignment with Cross River’s strategic objectives, regulatory standards, and innovation priorities.
• Partner with business, data, and technology leaders to identify AI-driven opportunities for efficiency, risk management, and new revenue models.
• Establish a governance framework for AI projects, including evaluation metrics, responsible AI principles, and lifecycle management.
• Oversee commercialization of AI capabilities, enabling scalable deployment of internal tools and potential external monetization opportunities.

Program Execution & Delivery

• Lead the planning, coordination, and execution of AI initiatives across multiple business domains—banking, lending, risk, compliance, and customer experience.
• Develop and maintain a portfolio management system for all AI programs, ensuring transparency on timelines, costs, dependencies, and outcomes.
• Ensure data readiness and model governance across all AI deployments in close partnership with data engineering and compliance teams.
• Track and report on transformation metrics, including adoption, ROI, and productivity gains.

Collaboration & Change Management

• Partner with product, engineering, operations, and risk teams to embed AI solutions into enterprise workflows.
• Drive organizational change management to enable smooth adoption of AI technologies, ensuring training and alignment across teams.
• Serve as a liaison between business and technical teams, translating complex AI capabilities into actionable business insights.
• Promote a culture of responsible AI innovation that balances experimentation with ethical standards and risk management.

Commercialization & Market Enablement

• Identify opportunities to externalize AI capabilities through partnerships, APIs, and new product lines.
• Collaborate with external vendors, startups, and research organizations to expand the bank’s AI ecosystem.
• Support the Chief Data and AI Officer in defining AI monetization strategies and evaluating go-to-market models.

Basic Qualifications:

• 10+ years of experience in technology, analytics, or transformation roles, with at least 5 years in AI/ML program or product management.
• Proven experience leading cross-functional AI initiatives from conception through implementation in a regulated industry (preferably financial services, fintech, or banking).
• Strong understanding of AI platforms, MLOps, model governance, and data management frameworks.
• Experience managing stakeholder engagement, budgets, and vendor relationships for large-scale transformation programs.
• Exceptional ability to translate technical AI concepts into business outcomes and communicate effectively at all organizational levels.

Preferred Qualifications:

• Master’s degree in Business, Data Science, Engineering, or a related field.
• Prior experience applying AI solutions in regulated environments, such as banking, healthcare, or insurance.
• Familiarity with AI governance frameworks, including bias mitigation, interpretability, and model monitoring.
• Experience in commercialization or business development related to AI-driven products or services.
• PMP, Agile, or equivalent program management certification preferred.

Leadership & Impact:

The ideal candidate will demonstrate a track record of driving complex, multi-stakeholder AI initiatives, combining visionary thinking with disciplined execution. They will be a trusted advisor to the Chief Data and AI Officer and a change leader influencing how AI transforms Cross River’s core business and innovation strategy.

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Salary Range: $170,000.00 - $200,000.00

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease.  A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario.

Summary:

The Associate Director, ERP Functional & Solution Architect, ICT role will be responsible for overseeing MS D365 Enterprise Resource Planning (ERP) within the organization. Crucial role in implementing ERP specific business process improvements and enhancements within the organization and ensuring the system's optimal performance and functionality. Perform the planning, design, configuration, customization, and implementation of MS D365/ERP modules and functionalities, ensuring seamless integration with existing systems, ensuring compliance with industry standards, security protocols, and regulatory requirements. The ERP Functional Architect, Associate Director, ICT role will also serve as a business process analyst aligned with enterprise (i.e., SCM, MFG, Quality) and Corporate Functions (i.e., Finance, HR, Legal, Compliance, Procurement) ensuring successful technical solution development and delivery.

Essential Functions:

The D365 ERP F&O Functional Architect is responsible for the end-to-end functional design, configuration, and optimization of Microsoft Dynamics 365 Finance & Operations to support business operations across Finance, Procurement, Supply Chain, Manufacturing, Quality, and related business functions. The architect will partner with business stakeholders, technical teams, and implementation partners to ensure that the solution is aligned with corporate strategy, compliant with GxP/GAMP 5 standards (where applicable), and scalable for future business growth.

1. Solution Architecture & Design
•    Lead the functional design and architecture of the D365 F&O solution across key modules (Finance, Supply Chain, Manufacturing, Procurement, Inventory, Quality, etc.).
•    Translate complex business requirements into clear, scalable, and compliant functional solutions.
•    Emphasizes proactive, holistic leadership in solution architecture.
•    Focuses on aligning solutions with business goals, value streams, and enterprise architecture governance.
•    Define data flows, integrations, and system interactions between D365 and other enterprise systems & interfaces (e.g., LIMS, MES, 3PL Partners, External Finance Systems, and Cloud systems).
•    Ensure alignment with Microsoft’s Dynamics 365 roadmap and best practices.

2. Implementation & Configuration
•    Perform and lead the setup, configuration, and deployment of D365 F&O modules. 
•    End to end management of project/solution management by using tools like Azure Boards for planning and tracking work, Azure Repos for code versioning, and Azure Pipelines for automating build and deployment. Perform all activities from initial user stories and tasks to code, testing, and deployment through integrations with tools like Lifecycle Services (LCS). 
•    Drive fit-gap analysis and functional documentation. Develop User/Functional Requirements, Functional/Technical Design, System/Business process architecture diagrams.
•    Collaborate with development/vendor/managed service teams to define functional specifications for enhancements, bug/fix, customizations, reports, and interfaces. Co-develop or individually develop code/configurations required and coordinate internal development and user acceptance testing of the solution.
•    Participate in system validation activities, including IQ/OQ/PQ documentation for regulated environments.

3. Governance & Compliance
•    Ensure the ERP system design complies with GAMP 5, SOX, and GxP regulatory requirements.
•    Develop and maintain master data governance, change management, and configuration control processes.
•    Support audits and inspections through proper documentation and traceability.
•    Develop current and future state roadmaps and architecture.
•    Assess and align system release plan with Microsoft Dynamics 365 roadmap

4. Stakeholder Collaboration
•    Partner with business process owners to define best practices, continuous improvement opportunities, and confirm desired solution to fix the support/bug-fix items raised. Support communities of practice and collaborative development methodology.
•    Work independently to perform required fix within the D365 framework. Test and confirm the developed fix with business process owners. 
•    Work closely with IT, OT, and cloud teams to ensure integrated digital architecture.
•    Provide subject matter expertise and training for internal business process owners and super users.

5. Project & Vendor Management
•    Support ERP implementation and upgrade projects through all phases — initiation, design, testing, go-live, and hypercare.
•    Manage and coordinate external implementation partners and vendors.
•    Define KPIs and monitor system performance, adoption, and ROI.

Requirements:

Education 

Bachelor’s degree or equivalent experience in computer science, information systems, engineering, supply chain, or related fields required. Microsoft D365 F&O Certification preferred.

Experience
•    8+ years of experience implementing or supporting Microsoft Dynamics AX / D365 F&O.
•    Proven expertise across multiple functional domains (Finance, Manufacturing, Supply Chain, Procurement).
•    Experience designing integrations between ERP and external systems (LIMS, MES, Payment interface with Bank, External Finance Systems, etc.).
•    Strong understanding of ERP data models, workflows, and reporting.
•    Strong understanding of functional and solution architecture of, and experience performing code and configuration updates within the following Dynamics 365 modules:
o    Finance: General ledger, Cash and bank management, Accounts payable, Accounts receivable. Budgeting, Fixed assets, Cost accounting, PR/PO process, Vendor Management, Cost Accounting and Management 
o    SCM: Inventory management, Master planning, Procurement and sourcing, Product information management, Production control, Warehouse management, Cost accounting, Cost management, Asset management, including scheduled maintenance and repair tasks 

Technical Skills
•    Proficient in MS Office Suite. Experience with technology delivery applications across solutions such as (ERP, Manufacturing Execution Systems, Finance Systems, Control Tower). 
•    Microsoft Certified: Dynamics 365: Finance and Operations Apps Solution Architect Expert certification preferred.
•    Experience with emerging technologies (AI/ML, cloud, etc.) as relevant to ERP.

Working Conditions:

Requires up to 10 % domestic and international travel

The anticipated salary for this position will be $165,000 to $190,000.  The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs.

The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including:

• 401K with company match
• Annual Bonus Program (Sales Bonus for Sales Jobs)
• Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days
• Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision)
• HSA & FSA Programs
• Well-Being and Work/Life Programs
• Life & Disability Insurance
• Concierge Services
• Long Term Incentive Program (subject to job level and performance)
• Pet Insurance
• Tuition Assistance
• Employee Referral Awards

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions

It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law.

When you apply to a job on this site, the personal data contained in your application will be collected and stored by Kyowa Kirin, Inc. (“Controller”), which is located at 510 Carnegie Center Dr. Princeton, NJ 08540 USA and can be contacted by emailing kkus.talentacquisition.8h@kyowakirin.com. Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. 

Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. The transfer will be made using appropriate additional safeguards under the standard contractual clauses approved by regulators for transfers of personal data outside the European Union.

Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment.  Under the GDPR, if you are located in the European Union, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability, and to lodge a complaint with an EU supervisory authority. If you have any questions about our use of your data, you may contact us by email at usprivacyoffice@kyowakirin.com.

Recruitment & Staffing Agencies

Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes.

#LI-TT1 #Hybrid #Princeton

Who We Are

Cross River builds the infrastructure behind the world’s most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year. Whether you’re designing code, solving regulatory puzzles, or developing strategy, you’ll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

About Our Team

Cross River’s AI Transformation team is a newly formed group of problem solvers passionate about bridging the gap between cutting-edge AI capabilities and real-world business needs. Based in-office at our Fort Lee, New Jersey headquarters, we work face-to-face with stakeholders across the organization to identify opportunities, adopt and adapt AI tools, and build sustainable solutions. Our mission is to bring AI-powered solutions to life, ensure they are maintainable, auditable, and resilient, and to continuously leverage advances in AI technologies for the benefit of the business.

What We’re Looking For

We are looking for an Engineering Manager to lead and grow our AI Transformation team (official title: "AVP, Engineering").. This is a hands-on leadership role—approximately 60% engineering and 40% people and project management—where you will work in-office at least three days per week at our Fort Lee, New Jersey headquarters. You will collaborate closely with an AI strategy team and collaborate face-to-face with business stakeholders to deeply understand their problems, cut through surface-level descriptions to identify root challenges, and determine the most efficient path to solutions. You will guide your team and partners through a solution journey, ensuring the business comes along every step of the way. We are looking for someone who thrives in ambiguity, identifies high-impact opportunities—from quick wins to complex, less obvious challenges—and applies strong engineering discipline to deliver sustainable, AI-centered or augmented outcomes.

People & Project Management Responsibilities (~40%):

• Lead, mentor, and support a small team of engineers and QA professionals with empathy, trust, and a focus on individual growth
• Foster a culture that promotes sharing ideas, taking calculated risks, and learning from setbacks
• Plan, triage, and prioritize work across multiple initiatives with lifecycles ranging from two weeks to three months
• Guide business partners through the solution journey—helping them understand tradeoffs, come along with the process, and stay focused on the problem rather than prescribing solutions

Engineering Responsibilities (~60%):

• Design, develop, and deliver scalable, flexible, and reusable components and solutions leveraging AWS AI tools and services and internally-designed components, evolving into a flexible, resilient, and reusable platform
• Utilize engineering best practices to implement AI-centered and augmented solutions with a sustainable, auditable, and maintainable mindset
• Collaborate with the AI strategy enablement team to adopt, adapt, and optimize the latest AI tools for real-world business problems
• Document solution architectures, design decisions, and technical approaches collaboratively with the team and stakeholders

Qualifications:

• 8+ years of experience in software engineering (a mix of front-end, back-end, API, security, and other best practices), with progressive leadership or management responsibilities
• 6+ years of experience with C#, .NET Core, and the Microsoft development ecosystem deployed via AWS
• 6+ years of experience in real-time data management (SQL, NoSQL, caching)
• 4+ years of experience in DevOps disciplines (GIT or Azure Devops, Terraform, Python)
• 3+ years of experience leading, empathetically managing engineering teams and interfacing with product and business organizations
• 2+ years of experience or strong interest in AI/ML tooling, integrations, and the practical application of AI to business problems
• Experience managing initiatives with short-to-medium lifecycles (weeks to months), in an ambiguous, fast-evolving, collaborative, and iterative environment

Ideal Candidate:

• Experience in the financial industry (FinTech or traditional banking)
• Loves ambiguity, energized by undefined problems and the opportunity to shape solutions from the ground up and identify next steps and actions
• Identifies potential to show impact quickly while also recognizing and tackling harder, less obvious challenges
• Focuses on understanding the “why” before jumping to the “how”

#LI-KR1 #LI-Hybrid

Salary Range: $180,000.00 - $210,000.00

About Us
Ilir Sela started Slice with the belief that local pizzerias deserve all the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower tens of thousands of restaurants with the technology, services, and collective power they need to better serve their customers and build lasting businesses. We’re growing and adding more talent to help fulfill this mission. That’s where you come in.

The Opportunity
We’re expanding our pizzeria supplies division and launching in-house production of custom-printed pizza boxes. We’re looking for a motivated Digital Print Operator to join our team. This is a hands-on role where we’ll provide training, so it’s a great fit for someone excited to learn new skills, work with cutting-edge equipment, and grow in a production environment.

What You’ll Do

• Learn to operate and maintain high-volume digital printers for corrugated cardboard
• Help manage daily print jobs and keep production running smoothly
• Inspect printed materials to ensure quality and accuracy
• Assist with basic maintenance, cleaning, and machine setup
• Support finishing tasks such as bundling and shrink-wrapping
• Keep track of materials and job progress
• Work closely with the production team to meet deadlines and deliver great results

What We’re Looking For

• Interest in learning digital printing and production processes (no prior experience required!)
• Strong attention to detail and willingness to follow step-by-step processes
• Problem-solving mindset and curiosity to learn new skills
• Ability to lift up to 50 lbs and stand on your feet for most of the shift
• Comfort working in a fast-paced, team-oriented environment

Nice to Have (But Not Required)

• Experience in a production, warehouse, or manufacturing environment
• Familiarity with computers or mechanical equipment
• Forklift certification or material handling experience

Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Market leading medical, vision and dental insurance
• 401K matching up to 4%
• Weekly pizza stipend (Yes, that’s a thing!)

Salary Range: $23/hour

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

About Us
Ilir Sela started Slice with the belief that local pizzerias deserve all the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower tens of thousands of restaurants with the technology, services, and collective power they need to better serve their customers and build lasting businesses. We’re growing and adding more talent to help fulfill this mission. That’s where you come in.

The Opportunity
We’re expanding our pizzeria supplies division and launching in-house production of custom-printed pizza boxes. We’re looking for a motivated Digital Print Operator to join our team. This is a hands-on role where we’ll provide training, so it’s a great fit for someone excited to learn new skills, work with cutting-edge equipment, and grow in a production environment.

What You’ll Do

• Learn to operate and maintain high-volume digital printers for corrugated cardboard
• Help manage daily print jobs and keep production running smoothly
• Inspect printed materials to ensure quality and accuracy
• Assist with basic maintenance, cleaning, and machine setup
• Support finishing tasks such as bundling and shrink-wrapping
• Keep track of materials and job progress
• Work closely with the production team to meet deadlines and deliver great results

What We’re Looking For

• Interest in learning digital printing and production processes (no prior experience required!)
• Strong attention to detail and willingness to follow step-by-step processes
• Problem-solving mindset and curiosity to learn new skills
• Ability to lift up to 50 lbs and stand on your feet for most of the shift
• Comfort working in a fast-paced, team-oriented environment

Nice to Have (But Not Required)

• Experience in a production, warehouse, or manufacturing environment
• Familiarity with computers or mechanical equipment 
• Forklift certification or material handling experience

Salary Range: $23 hourly 

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

EVYD Technology US is pioneering a revolutionary AI-powered platform that is transforming clinical trial optimization. We are leveraging AI, NLP, LLMs, and real-world data (RWD) to automate and enhance protocol design, patient recruitment, and clinical development efficiency - creating a smarter, faster, and more efficient clinical research ecosystem.

Join the Revolution in AI-Driven Clinical Trials

Remote / Hybrid (Preferably U.S. or Global Pharma Hubs)
Full-time | Leadership Role

What will you do?

As a Head of Product at EVYD Technology US, you will lead the strategy, development, and execution of our next-generation AI-powered clinical trial optimization platform. This is a high-impact leadership role where you will shape the future of AI in clinical development, working closely with AI engineers, clinical experts, and leading pharma stakeholders to bring groundbreaking innovation to life.

This role reports to the CEO of EVYD Technology US.

Your key responsibilities include: 

Define & Drive Product Vision & Strategy

• Own the roadmap, vision, and execution of EVYD’s AI-powered clinical trial optimization platform.
• Identify and prioritize features that address real-world pharma pain points and regulatory needs.

Lead AI-Driven Product Development

• Collaborate with AI/ML, engineering, and clinical teams to refine AI-driven trial optimization capabilities.
• Ensure seamless integration of NLP, LLMs, and RWD insights to enhance clinical research workflows.
• Build a best-in-class user experience for clinical teams, medical writers, and regulatory teams.

Engage with Pharma & CROs to Validate Market Fit

• Partner with pharma, biotech, and CROs to understand customer needs and optimize adoption strategies.
• Lead customer discovery sessions to shape AI adoption in clinical development.
• Work closely with regulatory experts to ensure compliance with FDA, EMA, and NMPA guidelines.

Go-to-Market & Commercialization Strategy

• Develop and execute strategic partnerships with major pharma players, biotech, and CROs.
• Collaborate with sales and business development to drive early adoption and pilot projects.
• Position EVYD as a leader in AI-driven clinical trial transformation.

What we are looking for in you:

• 8+ years of product management experience in AI-powered SaaS, clinical trial technology, or healthcare automation.
• Deep understanding of clinical trial workflows, system optimization, and AI-driven process automation.
• Hands-on experience with NLP, LLMs, or machine learning applications in healthcare.
• Knowledge of pharma IT ecosystems (Medidata, Veeva, Oracle, SAS, etc.).
• Experience collaborating with pharma, biotech, CROs, and clinical experts.
• Strong leadership & cross-functional collaboration skills across AI, engineering, and clinical teams.

Bonus: Experience in scaling AI-powered SaaS platforms and knowledge of real-world evidence (RWE) and AI-driven literature synthesis.

Why Join EVYD?

Lead AI-driven innovation in clinical trials and pharma research.

Shape a high-impact product that will redefine clinical development workflows.

Collaborate with top AI & pharma experts to build industry-leading solutions.

Grow with a fast-scaling AI-driven healthcare startup making a real-world impact.

Ready to Transform Clinical Trials with AI?

We’d love to hear from you! Please hit the apply button or email your resume to linyu.gao@evydtech.com

Join us in building the future of AI-powered clinical trials!

Who we are

Latent AI believes in a vibrant and sustainable future driven by the power of AI. Our mission is to enable the vast potential of AI that is efficient, practical and useful. We are a diverse, ambitious team of scientists, engineers, entrepreneurs and visionaries revolutionizing how the next generation AI systems are built. We are deeply passionate about the future of AI, our work, and how we can make our customers and ourselves successful. We value mentorship, personal and professional growth at Latent AI! Our leadership consists of seasoned professionals who welcome the opportunity to share their knowledge and experience with a motivated team willing to learn, collaborate, and think big. 

Latent AI is backed by Future Ventures, Blackhorn Ventures, Auto Tech Ventures, Booz Allen Hamilton,  Lockheed Martin, Standard Investments, Pegasus Tech Ventures, and SRI International.

What we do

Latent AI enables creation of more robust, efficient, and agile edge applications that improve user adoption and mission impact.Our current product mission is simplifying and accelerating traditional AI workflows from model training and optimization to deployment and support. Our flagship product, the Latent AI Efficient Inference Platform™ (LEIP), is a unified SDK built for machine learning engineers and AI software developers. Our solutions are being used in more places than ever before including manufacturing automation, predictive maintenance, process control, consumer electronics, and defense and aerospace applications. And we are just getting started.

Who we're looking for

We are seeking an exceptional Product Manager to lead the charge in defining, building, and scaling products that push the boundaries of edge AI technology. You will work closely with engineers, researchers, and business teams to deliver transformative solutions that delight our customers and drive the adoption of Latent AI technology. This role demands a strategic thinker, a customer advocate, and a data-driven decision-maker who thrives in a fast-paced, deep tech environment.

What you’ll do

• Customer-Centric Leadership

  • Serve as the voice of the customer, shaping product direction based on their needs and pain points.
  • Partner with sales and customer success teams to gather insights and translate them into actionable requirements.

• Vision and Strategy

  • Define and communicate a clear product vision aligned with Latent AI’s mission and business goals.
  • Develop and maintain a product roadmap to guide cross-functional teams effectively.

• End-to-End Ownership

  • Manage the product lifecycle, from ideation to launch and ongoing iterations.
  • Define and track key performance metrics (KPIs) to measure success and drive continuous improvement.

• Collaboration and Empowerment

  • Act as the central point of coordination among engineering, design, marketing, and sales teams.
  • Foster a collaborative and trust-driven environment to enable peak performance.

• Data-Driven Decision-Making

  • Use data, market research, and user feedback to make informed decisions.
  • Balance data-driven insights with creative intuition to explore emerging opportunities.

• Innovation and Adaptability

  • Stay agile in the rapidly evolving edge AI landscape, managing trade-offs effectively.
  • Collaborate with R&D to identify and address core technical and market challenges.

• Communication and Storytelling

  • Clearly articulate the product value proposition to both internal stakeholders and external customers.
  • Craft compelling narratives to align teams and generate excitement around product initiatives.

How we decide

We are a true team focused on the same mission. Our interviews are designed to be collaborative, where you learn as much about us as we learn about you. We believe that cultural fit is as important to our success as the technical one. The winning candidate will also have a combination of work experience and expertise similar to the requirements listed below: 

Key Qualifications:

• Experience

  • 5+ years of product management experience, preferably in AI, ML, IoT, or deep tech industries.
  • Proven track record of launching successful software or hardware products in fast-paced environments.

• Technical Expertise

  • Strong understanding of AI/ML concepts, edge computing architectures, and embedded systems.
  • Ability to bridge technical and business needs, collaborating effectively with engineering teams.

• Leadership and Communication

  • Exceptional leadership skills with a talent for inspiring and aligning cross-functional teams.
  • Excellent verbal and written communication skills, including the ability to simplify complex topics.

• Mindset and Skills

  • Customer-obsessed with a passion for solving challenging problems.
  • Analytical thinker with a data-driven approach to prioritization and decision-making.
  • Comfortable navigating ambiguity and adapting to change in a dynamic startup environment.

• Education

  • Bachelor’s degree in computer science, engineering, or a related field (MBA or advanced degree is a plus).