Support customer-facing security engagements, learning to run standardized assessments and turn technical risks into clear, actionable guidance.
Locations (3)
Seattle, Washington, United States
Bellevue, Washington, United States
Chicago, Illinois, United States
Compensation
The typical base salary range for this position is $75,200 - $82,800 annually. There is a different range applicable to specific work locations. In California and New York, and select cities in the metropolitan areas of Boston, Chicago, Seattle, and Washington DC, the base pay range for this role in those locations is $90,600 - $90,600 per year.
Responsibilities
Help execute standardized security assessment methodologies for customer implementations, covering web, API, cloud, and AI-enabled applications.
Assist with post-sale and deployment security configuration reviews, including identity and access management (IAM) posture and integration risks.
Help produce customer-facing deliverables, such as assessment reports, gap analyses, and configuration checklists, with clear findings, risk ratings, and remediation recommendations.
Support threat modeling, architecture reviews, and secure code reviews as part of engagements.
Join customer and Professional Services delivery conversations to build consulting and communication skills.
Requirements
Bachelor's in Information Systems/MIS with a technical lean (e.g., CS coursework or security certifications)
Computer Science with a strong interest in consulting and hands-on customer delivery
Nice to have: OWASP Top 10
Nice to have: familiarity with web, API, and cloud architectures
The Digital Applications Engineer provides technical application expertise and technical customer support throughout complex sales opportunities, acting as a bridge between Sales, Product Management, Solution Architects, and customers.
Compensation
The total compensation for this position ranges from $147521.25 - $221281.25/yr (Salary to be determined by the education, experience, knowledge, skills, and abilities of the applicant and the alignment with internal team and market data).
Responsibilities
Partner with Digital Sales Executives and Key Account Managers (KAMs) on proposal for wider digital portfolio upsell opportunities.
Run technical demonstrations, workshops and proof-of-concept engagements with prospective and existing customers.
Feed customer and market technical requirements back into Digital Portfolio/Product teams to inform the roadmap.
Support senior and C-level technical engagement with strategic accounts and regulators (e.g., TSA).
Build and maintain standardised technical playbooks and collateral to make pursuits repeatable across regions.
Requirements
Bachelor’s degree or equivalent experience in Engineering, Computer Science, IT, or a related technical field
Software Engineer focused on designing, developing, and maintaining scalable software applications with a specific emphasis on AI-enabled features and LLM integrations.
Compensation
Annual Pay Range: 93,200 - 115,000 USD
Responsibilities
Design, develop, test, deploy, and maintain scalable software applications following established engineering standards, coding best practices, and architectural guidelines.
Collaborate with product managers, designers, architects, and fellow engineers to translate business requirements into high-quality software solutions.
Participate in all phases of the software development lifecycle (SDLC), including requirements analysis, design, implementation, testing, deployment, monitoring, and maintenance.
Write clean, maintainable, secure, and efficient code that meets functional and non-functional requirements.
Conduct peer code reviews, contribute to engineering best practices, and provide constructive feedback to help improve overall code quality.
Drive execution of complex, cross-functional AI and automation initiatives from early discovery to production launch and scaled rollout while setting up and maturing a new Technical Project Management function.
Compensation
competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation
Responsibilities
Convert product plans into project plans with clear scope, milestones, owners, and timelines.
Own delivery cadence: daily/weekly execution check-ins, action tracking, and reporting into product operating mechanisms.
Drive clear communication: coordinate progress updates, status narratives, dependency/risk readouts, and decision logs across stakeholders and leadership.
Identify, manage, and resolve cross-team dependencies and risks; escalate decisively to protect timelines.
Drive execution toward target dates; empowered to demand deliverables and decisions from stakeholders.
Requirements
Degree in Computer Science/Engineering
Nice to have: MS/PhD
Nice to have: Experience delivering AI-driven programs in banking/financial services
A high-performing Client Advisor with deep qualified retirement plan expertise to develop new client relationships, retain and expand existing relationships, and grow Acrisure’s Retirement Solutions business.
Compensation
The base compensation range for this position is $100,000 - $130,000. This range reflects Acrisure's good faith estimate at the time of this posting. Placement within the range will be based on a variety of factors, including but not limited to skills, experience, qualifications, location, and internal equity.
Responsibilities
Achieve annual objectives established in the sales plan by building a qualified pipeline, converting leads into revenue-generating opportunities, and consistently meeting or exceeding quota.
Develop and execute a strategic business development plan focused on qualified retirement plan opportunities within the target market.
Generate leads and referrals through current clients, centers of influence, community relationships, and outside contacts; identify and pursue requests for proposal when appropriate.
Use CRM, analytics, AI-enabled sales tools, and structured outreach cadences to prioritize high-value opportunities, monitor prospect engagement, and accelerate deal velocity.
Prepare and present compelling sales materials, proposals, and plan recommendations to prospective clients.
Requirements
Bachelor’s degree preferred
Nice to have: Series 65 registration
Nice to have: CFP
Nice to have: QKA
Nice to have: QFPC
Client Advisor, Retirement Solutions
Acrisure South Insurance Services, LLC · Posted Nov 4, 2026
A high-performing Client Advisor with deep qualified retirement plan expertise to develop new client relationships, retain and expand existing relationships, and grow Acrisure’s Retirement Solutions business.
Compensation
The base compensation range for this position is $100,000 - $130,000.
Responsibilities
Achieve annual objectives established in the sales plan by building a qualified pipeline, converting leads into revenue-generating opportunities, and consistently meeting or exceeding quota.
Develop and execute a strategic business development plan focused on qualified retirement plan opportunities within the target market.
Generate leads and referrals through current clients, centers of influence, community relationships, and outside contacts; identify and pursue requests for proposal when appropriate.
Use CRM, analytics, AI-enabled sales tools, and structured outreach cadences to prioritize high-value opportunities, monitor prospect engagement, and accelerate deal velocity.
Prepare and present compelling sales materials, proposals, and plan recommendations to prospective clients.
Lead a team building trusted enterprise data products and production-ready AI capabilities, owning engineering delivery across data pipelines, semantic models, enterprise context layers, and AI agent integrations.
Responsibilities
Build and lead the team: Recruit, coach, and develop data and AI engineers.
Deliver enterprise data products: Lead the development of scalable ingestion and transformation pipelines, curated datasets, and reusable data products across business domains.
Develop AI-ready data capabilities: Guide semantic modeling, metadata pipelines, knowledge graph integrations, and enterprise context services that provide AI applications with consistent business definitions and relationships.
Own production readiness: Establish service expectations, monitoring, incident response, support handovers, and cost controls for data pipelines and AI services.
Manage delivery and partnerships: Own roadmaps, capacity planning, technical dependencies, and delivery across multiple initiatives.
Requirements
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
Assist the Director in developing and implementing the Program of Work and Budget of the WIPO Japan Office to promote WIPO’s mandate and support the advancement of WIPO’s broader strategic objectives.
Compensation
Annual salary: 12664 in thousands of Yen (Total Net)
Responsibilities
Work closely with the Director in developing WJO's program of work and workplan
Oversee the implementation and monitoring to enhance the delivery and use of WIPO's services in Japan
Develop and maintain strategic partnerships with IP stakeholders, government authorities, WIPO Headquarters, External Offices and Japan-based intergovernmental organizations
Lead outreach, communication and promotional activities relating to WIPO's services
Organize meetings for IP stakeholders in Japan and, as appropriate, in the region
Requirements
Advanced university degree in management, business administration, international relations, law, science, economics or a related field
First-level university degree plus two years of relevant experience may be accepted in lieu of an advanced university degree
Nice to have: Specialization in intellectual property
Nice to have: At least five years of experience working with the public administration of IP in Japan
Nice to have: Ability to work in other official UN languages
Support CoorsTek's Databricks application and data product strategy by ensuring solutions built, migrated, and deployed on Databricks are reliable, secure, observable, supportable, and cost-effective in production.
Compensation
Annual Salary: USD 115,000.00 - USD 155,000.00
Responsibilities
Support production reliability, operational readiness, and lifecycle support for Databricks-hosted applications, data products, dashboards, notebooks, jobs, workflows, APIs, and AI-enabled solutions.
Support applications migrated to Databricks, built directly in Databricks, or promoted from citizen development and IT development into governed production patterns.
Execute intake, review, handoff, support, and release practices for Pattern B Databricks applications, including minimum requirements before production deployment.
Partner with citizen developers, IT developers, data engineers, enterprise architects, and business stakeholders to convert prototypes into reliable, monitored, documented, and supportable services.
Implement and maintain observability standards, including logging, alerting, health checks, SLIs/SLOs, lineage, usage monitoring, cost monitoring, and operational dashboards.
Requirements
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Systems Engineering, or a related field
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Client Advisor, Retirement SolutionsAcrisure South Insurance Services, LLC · Burlington, US
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