Decision Foundry

Salesforce Administrator

• Design and maintain scalable declarative solutions (Flows, security model, data structure, reporting)
• Enforce standards for automation design, configuration governance, and sustainable platform practices
• Ensure alignment between data model, permissions, and integration touchpoints
• Monitor platform reliability and proactively address issues
• Support structured release, documentation, and validation practices
• Translate business requirements into supportable platform designs

• Administer and support the organization’s enterprise application ecosystem, including CRM, operational platforms, and integrated business systems.
• Manage system configurations, user access, permissions, and security to ensure data integrity, compliance, and operational reliability.
• Collaborate with business stakeholders to gather requirements and translate them into system enhancements, workflows, and automation solutions.
• Design and maintain reports, dashboards, and data visualizations that provide actionable insights for leadership and operational teams.
• Troubleshoot system issues, investigate root causes, and implement sustainable solutions to improve platform performance and user experience.
• Lead the implementation and maintenance of system integrations across enterprise applications using APIs and integration tools.
• Oversee user and license management, including provisioning, deactivation, and role-based access controls.
• Support enterprise system upgrades, releases, and new feature rollouts, including testing and change management.
• Monitor system adoption and partner with stakeholders to drive process optimization and platform utilization.
• Develop and maintain system documentation, training materials, and knowledge resources for end users.
• Provide guidance and technical expertise to cross-functional teams on best practices for system usage, automation, and data governance.
• Participate in strategic initiatives to evaluate and implement new enterprise technologies and platform improvements.
• Perform other duties as assigned to support departmental and company objectives.

Senior Salesforce Administrator

Security Engineer

• Contribute to defining the technical approach for new product initiatives
• Collaborate closely with Product and Design to shape features and user experience
• Support and guide teammates through code reviews and technical discussions
• Serve as a reliable technical voice within the team and help ensure strong engineering standards
• Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability

Senior Software Engineer, AI Tools, Security

Data Scientist

• Understand detailed usage of products by analyzing user behavior data, translating complex questions into analytical plans, and building robust product metrics.
• Run and measure product experiments (A/B tests) from design through interpretation, clearly articulating results and recommendations to stakeholders.
• Develop and maintain key performance indicators (KPIs) and operational metrics for product features and overall business health.
• Provide actionable insights for Product Managers on user engagement, feature adoption, and growth opportunities to directly inform the product roadmap.
• Build deep-dive reports for Executive Leaders on critical business trends and the performance of strategic initiatives, presenting findings in a clear, compelling narrative.
• Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines.
• Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling).
• Design and implement data visualizations and self-service dashboards to democratize data access across the organization.
• Partner with cross-functional teams (Product, Engineering, Marketing, Sales) to define data requirements and analytical objectives.
• Coach and mentor junior analysts and data scientists on best practices for data visualization, statistical analysis, and clear communication of results.

Senior Data Scientist, Data Insights

AI Engineer

• Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
• Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
• Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
• Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
• Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across engineering organization
• Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end); establish monitoring, alerting, and operational excellence for AI systems
• Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
• Participate in Operations: Take part in on-call rotation for AI developer tools; respond to incidents, debug production issues, and drive continuous improvement of system reliability
• Mentor and Share Knowledge: Guide other engineers through code reviews, pair programming, and technical discussions; document patterns and best practices for AI tool development
• Measure and Iterate: Instrument AI tools to measure adoption, effectiveness, and developer productivity impact; iterate based on data and user feedback to continuously improve developer experience
• On-Call Rotation: Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability

Senior Software Engineer, AI Developer Tools

Full-stack Engineer

• Define and drive the long-term technical strategy for AI Cloud’s control and data plane services.
• Architect highly available, multi-region systems capable of operating seamlessly across multiple cloud providers.
• Design APIs and service abstractions that integrate Desktop, Hub, and enterprise cloud services.
• Establish standards for reliability, scalability, and observability across the AI Cloud platform.
• Lead cross-functional technical discussions and influence architectural decisions company-wide.
• Design and implement distributed systems for workload orchestration, service discovery, and lifecycle management.
• Build and operate control plane components that manage multi-tenant workloads and cloud networking.
• Develop infrastructure that delivers predictable performance, intelligent scaling, and automated failover.
• Ensure security, data integrity, and compliance across global infrastructure footprint.
• Partner with platform and product teams to deliver developer-friendly APIs and cloud experiences.
• Align technical direction with business objectives for cloud growth and developer platform unification.
• Evaluate emerging technologies (e.g., service meshes, container orchestration, edge computing) and guide adoption.
• Drive initiatives that reduce latency, optimize cost, and improve cross-cloud performance.
• Define metrics and SLAs for AI Cloud’s reliability and scalability.
• Mentor senior, staff and principal engineers, fostering technical excellence and growth across teams.
• Lead design reviews and guide critical production system decisions.
• Drive a culture of operational excellence, ownership, and innovation.
• Collaborate with engineering and product leadership to align priorities and resource planning.
• Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability.

Principal Software Engineer, AI Cloud

Solutions Engineer

• High priority customer technical leadership
• Work with most important customers and cross functional teams to accelerate the customer’s container and AI journeys, focusing on developer workflows
• Engage with customer teams and cross functional teams to gather customer’s technical/business goals and challenges related to their container and AI journey.
• Create and manage engagement plans that span existing products and new offerings to achieve critical business goals.
• Oversee “design partner” rapid prototyping engagements with engineering and customer teams to validate customer-product fit for new use cases
• Work with teams to create/manage/deliver custom demos and content aligned to customer use cases.
• Deliver high-impact enablement and best practices content to customer audiences from developer to C level.
• Ability to travel up to 50% domestically and internationally as a senior representative of to prospective clients, customers, and technical alliance partners.
• Be a thought leader for a particular area of responsibility both internal and external, working with fellow Dockhands to create/manage/deliver content
• Gather field feedback from customer teams and pre and post sales teams
• Coordinate with Field CTO and other Solutions Architects to prioritize/contextualize/correlate field requests into a cohesive set of prioritized requests to the product/engineering teams.
• Work directly with product/engineering teams on workflows and feature alignment to customer use cases prioritized by revenue impact.
• Be customer zero for new functionality produced by product/engineering teams
• Give input on internal technical enablement and customer enablement needs, and review enablement content
• Assist the sales enablement team with internal technical enablement for new products and services.

Senior Solutions Architect – East

• Support the sales team in their campaigns by helping identify, quantify, and capture org value proposition and best solution that solves the customer’s challenges.
• Build and demonstrate the org platform that align with the customer’s needs.
• Conduct discovery sessions to potential clients alongside the sales team.
• Directly engage internal and external stakeholders in client-facing environments via demos and presentations.
• Configure Salesforce for custom demonstrations to showcase specific capabilities and enhancing standard demos for use by internal team members.
• Attain quarterly and annual objectives assigned by management.
• Answer RFPs effectively.

Senior Solution Engineer, Salesforce

Salesforce Developer

• Lead the delivery of custom solutions on top of their products or Salesforce products by discovering, designing, testing and deploying to production.
• Develop integrations with 3rd party tooling for their customers to their products.
• Partner closely with the services teams for best practices in implementation, product team for gaps or roadmap recommendations and sales engineers for what they deliver.
• Support the people to be more successful by helping develop any internal tools necessary.
• Provide technical leadership, setting best practices including integration and application development, deployment, testing (unit and systems) and coding standards.

Salesforce Technical Architect

Sales

• **Responsibilities **
• - Develop a comprehensive functional and technical understanding of the core solutions offered by the org, with a focus on their AI tools.
• - Develop and deliver instructional content and live training events for implementation partners and internal resources focused on configuration.
• - Develop and deliver customized training programs for end users and system administrators based on the unique needs of each client org.
• - Review product documentation to determine gaps and create plan for external and internal facing documentation.
• - Develop and maintain onboarding and certification programs for clients and partners.
• - Assist in configuring, monitoring, and evolving an LMS.

Salesforce Trainer

Customer Success Manager

• Design, execute, and optimize Braze-powered campaigns to drive ticket sales and attendance for events.
• Collaborate directly with the sales team to build out and automate email campaigns within Braze and Salesforce, supporting sales lead nurturing and conversion efforts for group sales and private events.
• Analyze customer data to create audience segments and deploy impactful email and digital ticket and group sales campaigns.
• Oversee end-to-end campaign execution in CRM platforms, including messaging, HTML, A/B testing, deployment, and performance analysis, focusing on repeat visits, retention and LTV.
• Monitor key CRM metrics, provide actionable insights, and continually optimize Braze and Salesforce for automation, efficiency and data hygiene.
• Manage and remain knowledgeable of key processes, business initiatives and internal resources to consistently improve Salesforce, Triple Seat, and proprietary systems.
• Create, implement, and oversee all data input and management processes to track sales opportunities, lapsed attendees, and overall consumer pipeline
• Manage system and periodic accounts clean up and reorganization to ensure accuracy of data in CRM systems
• Create system reports for daily, weekly and monthly sales and financial tracking. Partner with data team to create custom Tableau dashboards to support venue sales cycle
• Preferred: experience with CRM and lifecycle marketing in the events and ticketing space

CRM Specialist

• Own day-to-day Salesforce administration to ensure platform stability, consistency, and performance.
• Configure and maintain Salesforce capabilities, including:
• - Objects, fields, page layouts, Lightning pages, record types, and validation rules
• - Assignment rules, queues, approvals, and routing logic (as applicable)
• - Declarative automation (Flows) and related troubleshooting
• - Reports, dashboards, and list views to support operational decision-making
• Implement configuration changes with speed and accuracy while maintaining clean documentation and supportability standards.
• Run a structured support and enhancement intake process (request intake → triage → backlog → build → test → deploy → hypercare).
• Manage day-to-day casework with discipline:
• - Prioritize by severity, user impact, and operational risk
• - Establish clear ownership, SLAs, and escalation paths
• - Provide consistent communication back to stakeholders
• Drive root cause resolution, not just symptom fixes, to reduce repeat tickets and platform noise.
• Enforce change governance and release discipline to protect production stability, including:
• - Proper documentation, approvals, and scope control
• - Regression testing expectations and validation steps
• - Release calendars and communication standards
• Administer user access and ensure clean security practices, including:
• - User provisioning/deprovisioning and license management
• - Roles, profiles, permission sets, permission set groups
• - Access requests and approvals aligned to least-privilege standards
• Own data quality controls and standardization efforts to improve trust in Salesforce reporting and workflows.
• Build and maintain reports and dashboards that support business execution and leadership visibility.
• Provide Tier 1 / Tier 2 user support, including troubleshooting, guidance, and workflow coaching.
• Monitor adoption trends and identify friction points, then recommend improvements that reduce workarounds and increase consistency.
• Proactively manage platform health and readiness by keeping system reviews and identifying operational pain points.

• Design and implement REST and GraphQL endpoints.
• Design and implement highly available, latency-sensitive, fault-tolerant microservices.
• Core infrastructure for processing large volumes of video streaming data.
• Improve the performance, reliability, and scalability of all backend services.
• Develop large-size platform problems and own small-to-medium platform features end-to-end.
• You will work as an important member of the platform team that owns one or more services/product features, end-to-end.
• Expect to be challenged and stretch your skills regularly.

Software Engineer, Fullstack

• Lead the current product engineering team, which includes front-end, Mobile, and backend developers.
• Design, guide, and vet systems design within the scope of the broader area related to product development.
• Scale the current team, hire and onboard new team members, and develop a high-performing team of software engineers.
• Be highly technical, a hands-on coder, and an effective people coach.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Give your team the tools, context, confidence, and motivation to make decisions effectively and independently.
• People management: Set clear expectations with individuals based on their level and role, while meeting regularly with individuals to discuss performance and development, and provide feedback and coaching.

Director, Software Engineering – Product

Product Manager

• Work with a cross-functional team to manage and coordinate the product roadmap, strategy, and long-term vision
• Drive new feature developments from start to finish
• Run user research, usability studies, and data-driven experiments to inform product direction
• Establish, monitor, and measure success metrics after deployment

Salesforce Administrator

Senior Salesforce Administrator

Senior Software Engineer, AI Tools, Security

Senior Data Scientist, Data Insights

Senior Software Engineer, AI Developer Tools

Principal Software Engineer, AI Cloud

Senior Solutions Architect – East

Senior Solution Engineer, Salesforce

Salesforce Technical Architect

Salesforce Trainer

CRM Specialist

Salesforce Administrator

Software Engineer, Fullstack

Director, Software Engineering – Product

Senior Product Manager