Payliance

Business Intelligence Analyst

• Analyze business performance to identify trends, drivers, and anomalies.
• Translate raw data into clear, concise insights for non-technical stakeholders.
• Turn ambiguous questions into clear analytical approaches and actionable outputs.
• Present findings in a way that drives decisions — not just awareness.
• Build structured, repeatable analyses in Excel from imperfect and fragmented data.
• Convert recurring business questions into simple, scalable reporting that doesn't require rebuilding every time.
• Identify opportunities to reduce manual effort in reporting so the business spends less time pulling data and more time acting on it.
• Partner directly with leaders across Operations, Sales, and Finance to frame problems and guide decisions.
• Work as a thought partner — helping define the right question before jumping to analysis.
• Follow through beyond delivery to understand whether your analysis drove the expected outcome.

Business Insights Analyst

Revenue Operations

• Own pipeline health, funnel analytics, and sales forecasting; surface risks and opportunities proactively.
• Build and maintain Salesforce/HubSpot reporting frameworks, stage definitions, and data standards.
• Develop commercial scorecards and KPI dashboards for leadership decision-making.
• Analyze revenue trends, booking patterns, and sales velocity to drive continuous improvement.
• Administer and optimize Salesforce/HubSpot configuration, workflows, and automation.
• Maintain account mapping, contact hygiene, lead routing, and process documentation.
• Drive user adoption through training, SOPs, and ongoing enablement.
• Support territory design, quota modeling, and comp plan development for direct and channel teams.
• Track performance against quota; ensure accuracy and fairness in commission calculations.
• Deliver timely data, reports, and insights to support deal strategy and execution.
• Align with Marketing on lead definitions, SLAs, and campaign tracking.
• Partner with Finance and Risk on deal structuring and post-close operations.
• Support annual planning, SKO, tool evaluations, and process redesign initiatives.

Sales and Revenue Operations Manager

Recruitment

• Manage the full recruiting lifecycle — intake, sourcing, screening, interview coordination, offer, and close — for roles across departments.
• Partner with hiring managers to define role requirements, develop job descriptions, and set realistic hiring timelines.
• Build and maintain proactive talent pipelines for high-volume or recurring roles (e.g., Sales, Collections, Client Success).
• Source candidates through LinkedIn Recruiter, job boards, employee referrals, and direct outreach.
• Deliver a consistent, high-quality candidate experience from first contact through onboarding handoff.
• Track and report on recruiting metrics (time-to-fill, source of hire, pipeline health) to identify bottlenecks and improve process.
• Manage relationships with external staffing agencies and recruiting vendors as needed.
• Field employee questions on benefits, leaves of absence, and HR policies; coordinate with brokers and carriers to resolve issues.
• Support open enrollment communications and employee benefits elections.
• Assist with employee relations matters — including policy questions, performance conversations, and documentation — in partnership with the HR Manager.
• Help keep HR records, the employee handbook, and HRIS data current and accurate.

Talent Acquisition Specialist

DevOps Engineer

• Read, debug, and contribute to production C#/.NET code to diagnose and fix app-level reliability issues.
• Identify and resolve memory leaks, thread pool exhaustion, and GC pressure before they manifest as incidents.
• Partner with application engineers to embed reliability into new feature design and deployment practices.
• Instrument .NET services with distributed tracing and structured logging to surface runtime anomalies early.
• Operate and optimize EC2 Auto Scaling, ECS Fargate, and Lambda workloads — with clear judgment on when each is the right fit.
• Build and maintain infrastructure-as-code using CloudFormation or CDK for consistent, reproducible environments.
• Automate operational tasks, deployment pipelines, and disaster recovery procedures.
• Continuously reduce toil through tooling and automation, freeing the team for higher-impact engineering work.
• Manage RDS SQL Server deployments including Multi-AZ failover configuration and read replica setup.
• Operate backup and point-in-time recovery (PITR) processes and validate restore procedures regularly.
• Diagnose and resolve performance issues: slow queries, missing indexes, and blocking chains.
• Capacity plan and scale database infrastructure to support transaction volume growth.
• Build and maintain observability stacks using CloudWatch metrics, log insights, and alarms; AWS X-Ray for distributed tracing.
• Own service health dashboards, SLOs/SLIs, and drive data-driven reliability improvements.
• Design alerts that surface signal — not noise — and ensure on-call responders have the context to act quickly.
• Conduct root cause analysis (RCA) on incidents and lead blameless post-mortems to capture lessons and prevent recurrence.
• Design and maintain secure AWS network topologies: VPCs, subnets, security groups, and NACLs.
• Configure and manage ALB/NLB routing, Route 53 DNS, and TLS certificate lifecycle via ACM.
• Author and review least-privilege IAM policies; audit roles and resource-based policies for over-permissioning.
• Support compliance and security controls relevant to a PCI-regulated payments environment.
• Participate in on-call rotation to respond to production incidents and drive swift resolution.
• Define and track error budgets; use them to balance velocity and reliability investment.
• Communicate status updates clearly during incidents and coordinate cross-functional response.
• Maintain and improve runbooks, escalation paths, and on-call health over time.
• Collaborate with platform engineering teams on architecture decisions and scalability requirements.
• Share observability and reliability best practices with application teams.
• Mentor engineers on SRE principles and operational excellence.

Site Reliability Engineer, SRE

AI Engineer

• Operate and evolve Payliance's AI inference platform on Amazon Bedrock, including model selection, routing logic, and version pinning across the Claude model family.
• Build and maintain internal AI services and integration layers (C#/.NET, Python) that connect Claude to enterprise systems and workflows.
• Design cost-aware inference strategies — prompt caching, model tiering, and intent-based routing — that balance capability against spend.
• Own the reliability of AI services with the same rigor applied to the payment platform: define SLOs, build observability (logging, tracing, alerting), plan capacity, and design for graceful degradation when models or upstream services falter.
• Establish disciplined change management for AI infrastructure — pinned model versions, staged rollouts, and regression testing — so behavior never drifts silently in production.
• Design, build, and maintain Claude agents, Skills, and MCP (Model Context Protocol) integrations that connect AI to internal data sources and tools.
• Develop reusable agent patterns — retrieval, tool use, structured output, multi-step workflows — that other teams can adopt without starting from scratch.
• Author and curate high-quality prompts, skill definitions, and agent instructions, with versioning and review discipline.
• Evaluate agent quality systematically: define eval criteria, test for regressions, and validate behavior before promotion to production.
• Operate and extend the internal AI skill/agent marketplace: submission pipelines, staging and curation workflows, and publication gates.
• Enable non-technical employees — business analysts and beyond — to create and submit agents and Skills through low-friction workflows that don't require engineering tooling or source-control accounts.
• Serve as a formal review gate for submitted agents and Skills: assess security posture, data access, prompt quality, and fitness for purpose before publication.
• Manage distribution across surfaces — Claude Enterprise, Claude Code, and internal applications — with consistent configuration and rollout controls.
• Design and enforce identity-aware access to AI capabilities: SSO/SCIM provisioning, group-based entitlements, and per-user permission propagation to downstream data sources.
• Ensure AI tools respect existing data permissions — users should never see data through an agent that they couldn't access directly.
• Author and review least-privilege IAM policies for AI infrastructure; avoid broad credential grants in favor of scoped, auditable access patterns.
• Establish and maintain AI governance controls appropriate to a PCI-regulated payments environment: data handling policies, audit trails, and model usage boundaries.
• Build and maintain AI usage analytics and reporting: adoption metrics, token consumption, and cost breakdowns by team and use case.
• Deliver operational visibility to executive stakeholders through automated reporting and dashboards.
• Monitor for misuse, anomalous usage patterns, and quality degradation across deployed agents and Skills.
• Continuously optimize the cost/performance profile of AI workloads as models, pricing, and usage patterns evolve.
• Partner with business teams to identify high-value AI use cases and translate them into working agents, Skills, and workflows.
• Train and coach non-technical builders on effective prompt design, agent construction, and responsible AI use.
• Author reference architectures, design decisions, and integration patterns that other engineering teams adopt — contributing to Architectural Services' broader practice.
• Collaborate with platform engineering and security teams on architecture decisions, integration patterns, and compliance requirements.
• Champion pragmatic AI adoption: cut through hype, set realistic expectations, and demonstrate measurable value.

Business Insights Analyst

Sales and Revenue Operations Manager

Talent Acquisition Specialist

Site Reliability Engineer, SRE

AI Enablement Engineer