Kobie

Operations

• Manage the daily operational logistics of the intra-Kobie team respective to the client assigned.
• Regularly evaluate the efficiency of organization procedures according to objectives and apply improvements.
• Working with client services team and technology team on the implementation and tracking of client’s requirements for program success
• Help maintain effective working relationships with affiliate client organization, and other members of the Kobie Team.
• Coordinate with external partners and vendors to optimize program delivery and ensure seamless integration of third-party services.
• Establish and maintain operational processes and procedures to ensure the efficient delivery of projects/objectives.
• Identify and implement automation and optimization opportunities to streamline operations and enhance scalability.
• Proactively address operational challenges and resolve issues to minimize impact on customer experience.
• Support the creation and execution of client programs.
• Aid with program, client, and intra-team logistics.
• Support strategic vision and the sustainability of programming.
• Lead program and support including facilitation, leading discussions, delivering results and success.
• Build on program initiatives to drive additional impact through program results, growth, and/or creation of additional revenue impacting development.
• Serve as point of contact and maintain positive and effective relationships with client, internal client team, and others as required.
• Develop and implement strategic plans for loyalty rewards programs, aligned with business objectives and customer needs.
• Monitor program performance metrics and KPIs to identify trends, opportunities, and areas for improvement.
• Oversee the end-to-end execution of rewards programs and deliverables.

Operations Manager

DevOps Engineer

• Build the roadmap for devops and observability in Data & AI teams.
• Design and build cloud infrastructure as code with Terraform (or Pulumi / CloudFormation), packaging reusable modules for AWS, Azure or GCP.
• Own CI/CD pipelines in GitHub Actions, Jenkins or GitLab CI — build, test, security scanning, blue-green or canary deploys, and automated rollback.
• Operate Kubernetes clusters (EKS, AKS or GKE) and container workloads with LENS, Helm, ArgoCD or Flux — including autoscaling, ingress, secrets and policy.
• Build observability with Prometheus, Grafana, OpenTelemetry, ELK or Datadog — metrics, logs, traces, dashboards and SLO-driven alerting.
• Implement security and compliance controls: IAM, SSO, secrets management (Vault / KMS), vulnerability scanning, policy-as-code (OPA, Checkov) and PCI-aware patterns.
• Lead incident response — on-call, runbooks, blameless post-mortems, and continuous reliability work to drive down MTTR and toil.
• Partner with developers on local dev experience, golden paths, internal platform tooling and developer self-service.
• Help shape internal platform standards as the stack evolves, contributing to design reviews and sharing knowledge across the India and U.S. teams.
• Participate in a collaborative DevOps environment, working closely with developers, AI engineers, QA, DBAs and product partners across environments.

Lead DevOps Engineer

QA Engineer

• Design and build evaluation harnesses for agentic systems in Python
• Author automated test suites for prompts and workflows
• Validate guardrails around tool execution
• Wire evaluations into CI using Dataiku Evaluations, GitHub Actions or Jenkins
• Build observability into testing
• Own quality end-to-end
• Partner with data engineers on retrieval testing patterns
• Help shape internal QA standards for AI & Data engineering
• Participate in a collaborative DevOps environment

Lead AI QA Engineer

AI Engineer

• Ship the hardest implementation work yourself — the human-in-the-loop routing, the public/private gateway access controls, the early agent harnesses
• Design and implement the human-in-the-loop routing system: queue mechanics, reviewer assignment, back-pressure handling, run resumption semantics
• Implement the execution wrapper that enforces human-in-the-loop polices at execution time
• Build the safeguards — refusal policies, prompt-injection protections, public/private MCP exposure controls — that make our agents safe to deploy at scale
• Review PRs (human- and code-agent-authored) at a depth that builds shared judgment about what good agent code looks like
• Mentor engineers through hard implementation problems; close gaps in the team's shared knowledge

Lead AI Engineer

Technical Project Manager

• Lead the development of project plans, timelines, and budgets in collaboration with stakeholders, ensuring alignment with client objectives and business requirements
• Own end-to-end delivery from kickoff through deployment, ensuring predictable outcomes. Build and manage integrated, dependency-driven project plans with clear critical path, ownership, and milestones.
• Monitor project progress and proactively identify risks in advance and drive mitigation actions to maintain schedule, scope, and budget alignment.
• Manage project financials and scope with discipline, including tracking against budget, identifying variances, and driving structured change control. Ensure all scope changes are documented, approved, and aligned to business and contractual expectations. Make informed tradeoff recommendations for balancing timeline, cost, and feature delivery.
• Proactively manage stakeholder expectations and influence outcomes across Client Services, Product, and Technology.
• Serve as a primary point of contact for clients, establishing and maintaining strong relationships to understand their needs, expectations, and concerns.
• Communicate effectively with internal and external stakeholders, providing regular updates on project status, risks, and issues.
• Lead decision-oriented stakeholder forums that drive alignment and assign clear accountability. Translate complex delivery details into concise, executive-ready narratives, including risks, tradeoffs, and required decisions.
• Lead cross-functional project teams, providing direction, guidance, and support to team members throughout the project lifecycle.
• Foster a collaborative team environment, promoting communication, teamwork, and accountability to achieve project goals.
• Coach and mentor junior project managers and team members, fostering their professional growth and development
• Ensure the quality of project deliverables meets or exceeds client expectations and industry standards.
• Proactively identify and assess project risks and issues, developing and implementing risk mitigation and contingency plans as needed.
• Conduct regular project reviews and audits to monitor compliance with project management processes and best practices.
• Identify opportunities for process improvements and efficiency gains within the project management office.
• Lead lessons learned sessions at the conclusion of projects to capture key insights and best practices for future initiatives.
• Contribute to the development and refinement of project management methodologies, tools, and templates.

Senior Technical Project Manager

Analyst

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Decision Science Analyst

Director

• Orchestrates End‑to‑End Delivery Execution
• Own technical execution from SA handoff (post‑discovery) through build, launch, hypercare, and ongoing run.
• Set and govern delivery plans (scope, milestones, technical dependencies), ensuring on‑time, on‑budget, and in‑quality outcomes.
• Serve as the single technical escalation point for implementation and run, driving decisions and clearing blockers.
• Accountable for client satisfaction as it relates to technical delivery and runtime health.
• Leads Cross‑Functional Coordination and Communication
• Drive alignment across Product, Engineering, QA, and Client Services; clarify ownership, SLAs, and decision rights.
• Run daily/weekly operating rhythms (standups, risk reviews, release/incident readouts) that keep delivery moving.
• Escalate with precision—anticipate organizational pinch points and engage the right leaders at the right time.
• Serve as a single technical point of accountability during delivery issues.
• Triage Issues and Identify Root Causes
• Own oversight of root cause analysis and corrective action.
• Lead incident triage (functional and technical), coordinate diagnostics, and own the path to resolution.
• Conduct structured Root Cause Analysis (RCA); document causes, corrective actions.
• Track and retire recurring defects via systemic fixes (tooling, process, config standards, or code changes).
• Ensure Program‑Level Operational Stability
• Govern platform health post-launch, error budgets aSLOs in partnership with Engineering/Operations to protect client outcomes.
• Own technical readiness of environments, integrations, and data pipelines supporting live programs.
• Accountable for operational outcomes at a program level.
• Drive Strategic Readiness for Launches and Changes
• Lead go‑live readiness: cutover planning, rollback paths, data migration checks, and production access controls.
• Chair technical Go/No‑Go with clear risk framing, mitigations, and stakeholder sign‑off.
• Coordinate change windows and release trains to minimize client impact and validate operational readiness before launches or changes.
• Continuously Optimize Workflows for Efficiency
• Map and improve delivery workflows end‑to‑end (from SA handoff to run), reducing manual effort and cycle time.
• Instrument and eliminate bottlenecks using data (e.g., wait states, rework, defect escape rates).
• Standardize playbooks, templates, and automation to increase predictability and scale.
• Support Client KPI and SLA Monitoring
• Define and track delivery KPIs/SLA dashboards (e.g., release velocity, incident MTTR, defect density, change success rate).
• Correlate technical signals with business impact (e.g., anomalies in redemptions, engagement, or promotion performance).
• Proactively surface risks and opportunities to PM/CS and recommend corrective actions.

Director, Technology Delivery

• As Director, Product you will define what Kobie's data platform means as a market-facing product: how behavioral and transactional data becomes the engine behind smarter loyalty programs, better marketing performance, and more personalized customer experiences.
• You will set strategy for KLICs and the Data Engine, build the commercial model to monetize them, and ensure our data capabilities fuel AI-driven outcomes — not just move data between systems.
• You will work directly with Product, Data Engineering, Client Services, and Commercial teams to convert Kobie's data assets into scalable, repeatable offerings.
• Define Kobie's data product portfolio with a clear focus on marketing, loyalty, and customer experience outcomes.
• Set the standard for what 'AI-ready data' means at Kobie.
• Drive the long-term roadmap for data capabilities that help clients transform unified customer data into actionable audiences, personalized experiences, and measurable loyalty outcomes.