Bridgeway Benefit Technologies

Total Rewards

• Execute Bridgeway's compensation philosophy, job architecture, and pay equity framework
• Lead the annual merit cycle, including budget modeling, manager guidance, system configuration, and executive reporting
• Analyze compensation surveys and benchmark roles against the market
• Provide compensation guidance for new hires, promotions, and internal transfers
• Support total compensation budgeting, workforce cost modeling, and compensation analysis
• Lead benefits strategy, design, and ongoing management for health, welfare, retirement, and leave programs
• Drive open enrollment, employee communications, system configuration, and carrier/vendor coordination
• Manage benefits broker, TPA, stop-loss carrier, and 401(k) record keeper relationships
• Ensure benefits and leave programs comply with ACA, ERISA, FMLA, and state-specific requirements
• Lead HR Operations service delivery across the employee lifecycle
• Directly manage, coach, and develop the HR Operations Specialist
• Manage ACA, EEOC, and IRS/DOL compliance reporting
• Drive HRIS data integrity, automation, integration, process improvement, and operational efficiency
• Develop and improve HR SOPs and process documentation
• Analyze workforce cost, compensation equity, and benefits utilization data
• Lead and contribute to human capital projects, including system implementations, program launches, policy updates, and organizational changes
• Use generative AI tools such as Claude and Copilot to streamline workflows and improve outcomes

Senior Manager, Total Rewards

Recruitment

• Support full-cycle recruiting for entry- and mid-level positions from kickoff through offer
• Manage job postings across internal and external platforms, including Greenhouse, LinkedIn, and Indeed
• Conduct resume screening and initial phone screens
• Build and maintain university and early-career recruiting partnerships
• Coordinate recruiting events, candidate pipelines, and new graduate outreach
• Maintain Greenhouse data integrity and audit-ready requisition records
• Schedule phone screens, video interviews, panel interviews, and onsite visits
• Serve as the primary candidate point of contact throughout the recruiting process
• Initiate and track background checks and pre-employment verifications
• Prepare offer letters and pre-hire documentation
• Manage post-offer handoff to onboarding with HR Operations
• Compile weekly recruiting metrics and pipeline status reports
• Maintain recruiting documentation, templates, and SOPs; recommend workflow improvements
• Support inclusive hiring and DEI sourcing initiatives
• Manage job board subscriptions and vendor administrative tasks
• Provide general administrative support to the Human Capital team
• Leverage generative AI tools such as Claude and Copilot to streamline workflows and improve outcomes
• Reports directly to the VP, Human Capital and partners with the Senior TA Partner

Talent Acquisition Coordinator

Software Engineer

• Own the strategic and operational roadmap for the engineering organization, translating business strategy into departmental goals, tactical plans, and resourcing decisions
• Lead, develop, and hold accountable managers, individual contributors, and offshore developers
• Manage department budget, headcount, resource planning, KPIs, and business outcomes
• Serve as liaison between executive leadership and engineering
• Set engineering best practices covering code quality, testing, and architecture governance
• Align technical strategy and execution with organizational objectives and shape multi-quarter roadmaps
• Drive technical excellence, accountability, innovation, and continuous improvement
• Coach managers and individual contributors and build succession readiness
• Oversee delivery of scalable and secure software solutions in an agile environment
• Address organizational challenges, resource constraints, competing priorities, dependencies, and escalations
• Evaluate and adopt emerging technologies, including generative AI tools
• Own hiring strategy and workforce planning
• Ensure documentation, knowledge management, and software development lifecycle process discipline
• Provide technical guidance on complex design and architecture decisions
• Own work intake and prioritization, including Kanban, estimation, timelines, and work quality
• Oversee the offshore engineering vendor relationship and vendor-side managers

Director, Engineering

Business Intelligence Developer

• Design and maintain semantic data models, metrics layers, and certified datasets
• Define, standardize, and govern KPIs, calculation logic, and shared metric glossary
• Develop, maintain, and optimize dashboards and reports in Sigma, Power BI, and native Databricks dashboards/AI-BI Genie
• Define and maintain Sigma workspace standards, workbook templates, certified datasets, row-level security configuration, and governance conventions
• Collaborate with Architecture on data quality, testing, and observability
• Own triage and resolution of BI-layer and dashboard issues
• Drive BI adoption through business-user training and support
• Monitor dashboard usage and identify assets for redesign, training, or deprecation
• Ensure data security and compliance through role-based access controls, encryption, masking, and governance practices
• Gather reporting and analytics requirements and translate them into technical specifications and data products
• Enable analytics, reporting, and AI/ML use cases through data models, feature availability, and platform integrations such as Databricks Vector Search and Model Serving
• Collaborate within an Agile-Scrum framework and create technical design documentation
• Build and maintain production dashboards and workbooks in Sigma
• Implement row-level security and Entra ID-based access controls
• Collaborate with engineering, analytics, and business stakeholders to align priorities

Data Engineer – BI

Project Manager

• Guide customers through discovery and implementation processes to ensure effective use of the Bridgeway software suite
• Guide customers through organizational change when moving from one system to another
• Align projects with business objectives
• Construct detailed work plans
• Manage project teams, milestones, budgets, timelines, resources, risks, scope, margins, and billable utilization
• Lead client implementations of proprietary software from project kick-off through go-live and transition to support
• Manage communications, escalations, and expectations with internal and external stakeholders
• Develop, monitor, and update project plans, schedules, budgets, and estimates in an online professional services automation solution
• Forecast project financials and ensure on-time, in-budget delivery
• Create and maintain comprehensive project documentation
• Participate in process improvement activities
• Collaborate across professional services, sales, support, engineering, and technical services/hosting
• Lead requirements gathering, estimating, and proposal creation
• Coordinate requirements, engineering handoffs, integrations, training, and knowledge transfer
• Track project portfolio performance against key metrics and recommend efficiency improvements

Platform Engineer

• Architect, design, develop, and maintain the Bridgeway platform powering software development and deployment
• Design and develop scalable, resilient, and efficient platform solutions using cloud services and modern software design frameworks
• Create modular, reusable infrastructure using Terraform and related tools
• Strengthen DevOps practices through interdepartmental and cross-functional automation
• Architect, develop, and maintain CI/CD pipelines for platform functions and customer needs at scale
• Deliver solutions using event-driven, object-oriented, and functional design patterns
• Design and implement monitoring and logging solutions for reliability and performance
• Define and maintain platform-system lifecycle processes covering updates, patches, and security compliance
• Resolve cloud infrastructure issues, analyze performance, and implement optimizations
• Plan infrastructure scaling for business growth
• Apply security-first practices to meet SOC, SOC2, HIPAA, NIST, and regulatory requirements
• Implement and manage IAM, firewalls, and SIEM solutions
• Integrate diverse and non-traditional systems
• Lead assigned projects and drive cross-team collaboration, execution, delivery, and accountability
• Write clean, efficient, and documented code
• Participate in the on-call rotation for platform-service reliability and availability
• Use generative AI tools such as Claude and Copilot to improve workflows, solution quality, and delivery

Senior Platform Engineer

Sales Development Rep

• Establish and execute a repeatable lead generation process
• Execute the full lead generation process: list pull, research, calls, email follow-up, and CRM logging for assigned prospects
• Make 60–80 outbound calls per day using the approved call script
• Conduct multi-touch cadences using calls, email, and LinkedIn
• Qualify inbound marketing leads and route sales-ready opportunities to the assigned Account Executive within 24 hours
• Research target accounts and contacts to personalize outreach while following the qualification structure
• Follow the lead generation call script and use approved rebuttals for common objections
• Participate in weekly recorded call reviews scored by sales leadership
• Complete script certification for new script versions within five business days
• Log every call outcome, contact field, and disposition in HubSpot immediately after each interaction
• Maintain a 95%+ CRM field completion rate and resolve flagged records within 48 hours
• Surface data anomalies to Sales Operations and contribute to weekly pipeline data reviews
• Collaborate with Account Executives on account prioritization and handoff quality
• Participate in weekly AE-SDR syncs
• Share objection patterns and market intelligence in the team feedback log
• Meet and exceed monthly quotas for qualified meetings and sales-qualified opportunities

Sales Development Representative – SDR

AI Engineer

• Contribute to the technical direction for AI-enabled systems in partnership with senior engineers and the architecture team
• Participate in design reviews for AI-adjacent features and incorporate feedback
• Build production-quality Python services, pipelines, and integrations applying LLMs and retrieval to internal and product problems
• Integrate LLM APIs into existing systems using guidance on model selection, cost profile, and failure handling
• Ensure AI capabilities honor schema-per-tenant and PHI-boundary patterns within the multi-tenant model
• Partner with the data and analytics team to integrate retrieval- and LLM-backed features into the lakehouse and analytics layer
• Contribute to prompt libraries, evaluation frameworks, reference implementations, and reusable components
• Help evaluate emerging AI tools and provide input on build-vs-buy decisions
• Build AI implementations compliant with HIPAA, SOC 2, and NIST, including PHI handling, data residency, audit logging, BAA coverage, prompt-injection defenses, DLP, model access governance, and secrets handling
• Maintain documentation of AI systems, data flows, and risk assessments for audit and compliance review
• Collaborate with engineering, product, customer success, security, data, and operations to identify automation opportunities and contribute to the AI roadmap
• Participate in operational quality and on-call rotation, including incident response, post-incident learning, observability, and feedback loops
• Track cost, quality, and adoption metrics for production AI systems and report outcomes to management, the architecture team, and team leads
• Apply enterprise AI integration best practices and share knowledge with peers