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Cresta

Cresta

www.cresta.com

3 Jobs

430 Employees

About the Company

Cresta combines the best of human and AI intelligence, transforming conversations and workflows at every level of the contact center. We help companies like Carmax, Hilton, and Cox Communications save time and money, differentiate the customer experience, and accelerate revenue growth.

Listed Jobs

Company background Company brand
Company Name
Cresta
Job Title
Infrastructure Engineer/SRE - Canada & US
Job Description
Job Title: Infrastructure Engineer / SRE Role Summary: Design, build, and evolve the core cloud and platform infrastructure that enables rapid, secure delivery of AI‑powered contact‑center applications. Expectations: Work autonomously in a collaborative environment, owning end‑to‑end tech solutions, driving automation, and maintaining high service availability across multi‑cloud Kubernetes clusters. Key Responsibilities: - Develop and maintain developer toolchain and deployment pipelines that streamline workflows across engineering teams. - Operate and scale multi‑cloud Kubernetes clusters, ensuring reliability, security, and performance. - Implement metrics, logging, analytics, and alerting for all infrastructure and application endpoints. - Provision and manage infrastructure‑as‑code using Terraform or CloudFormation across AWS, GCP, and Azure. - Automate operational tasks to optimize engineering time and reduce manual effort. - Build and support machine‑learning infrastructure, enabling training, testing, and deployment on large datasets. Required Skills: - 5+ years in DevOps, SRE, or production engineering. - Strong programming in Golang or Python. - Deep knowledge of container security best practices. - Production experience with Kubernetes, Helm/Kustomize, and related tooling (cert‑manager, external‑dns). - Experience with GPU‑enabled clusters (bonus). - IaC proficiency with Terraform or CloudFormation. - AWS expertise (IAM, S3, EC2, EKS); familiarity with GCP/Azure is a plus. - Managing PostgreSQL databases. - GitOps tools such as Flux or Argo. - CI/CD pipelines using GitHub Actions. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Canada
Remote
Mid level
20-12-2025
Company background Company brand
Company Name
Cresta
Job Title
AI Quality Assurance Intern
Job Description
**Job Title:** AI Quality Assurance Intern **Role Summary:** Conduct hands‑on evaluation of AI agents and assistant systems to ensure accurate intent recognition, correct workflow execution, and safe, reliable outputs. Perform structured testing, bias and safety checks, and provide actionable feedback to improve AI models and internal QA processes. **Expectations:** - Student-level role focused on AI/ML or NLP. - No advanced machine‑learning experience required; strong analytical thinking and curiosity about intelligent systems are essential. - Ability to work independently and collaboratively within product teams. **Key Responsibilities:** - Execute structured test plans for AI agent implementations. - Validate intents, entities, and workflows trigger correctly. - Identify behavioral inconsistencies, misclassifications, or hallucinations. - Review and assess AI‑generated suggestions, summaries, and classifications. - Provide actionable feedback to improve intent models, redaction/PII handling, and overall model performance. - Run bias, redaction, and transcription accuracy checks. - Spot patterns or emerging issues across test sets. - Contribute ideas for improving internal QA processes and tools. **Required Skills:** - Analytical mindset with strong attention to detail. - Knowledge of intent recognition and conversational AI fundamentals. - Experience with structured testing, data review, and reporting. - Familiarity with bias, privacy, and safety considerations in AI. - Excellent written and verbal communication. - Ability to learn quickly and adapt to evolving AI systems. **Required Education & Certifications:** - Currently pursuing (or holds) a bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Linguistics, or a related field. - No specific certifications required.
Toronto, Canada
On site
Fresher
24-12-2025
Company background Company brand
Company Name
Cresta
Job Title
Product Operations Manager
Job Description
**Job Title:** Product Operations Manager **Role Summary:** Drive operational excellence for the product organization by designing and managing scalable processes, delivering reliable product metrics, and enabling seamless cross‑functional collaboration across Product, Engineering, Customer Success, Sales, and Support. Ensure smooth product launches, tight feedback loops, and clear documentation to support data‑driven decision making and rapid iteration of AI‑powered SaaS solutions. **Expectations:** - 3–7 years of experience in product operations, program management, or strategy & operations within a SaaS or high‑growth tech environment. - Proven ability to create structure from ambiguity, align multiple stakeholders, and execute both strategically and tactically. - Strong analytical mindset with expertise in product metrics, dashboards, and customer feedback. - Excellent written and verbal communication skills. - Passion for AI, automation, and improving product delivery processes. **Key Responsibilities:** - Design, implement, and manage scalable processes for product planning, release management, and cross‑functional coordination. - Own product metrics and deliver dashboards, ensuring timely access to data for decision making. - Partner with Product Managers and Engineering to support sprint planning, launch readiness, and retrospectives. - Build and optimize feedback loops between customer‑facing teams and Product to accelerate prioritization and iteration. - Coordinate go‑to‑market activities, aligning stakeholders and providing clear communication and enablement before and after launches. - Standardize documentation, playbooks, and knowledge‑sharing practices across the organization. **Required Skills:** - Systems and process thinking; ability to structure ambiguous problems. - Cross‑functional partnership and stakeholder management. - Data analysis and visualization (experience with tools such as Looker, Hex, or similar). - Strong written and oral communication; ability to translate complex issues into clear narratives. - Hands‑on operational execution in fast‑paced environments. - Familiarity with AI‑driven or data‑heavy SaaS platforms (preferred). **Required Education & Certifications:** - Bachelor’s degree in Business, Engineering, Computer Science, or a related field (or equivalent practical experience). - Relevant certifications (e.g., PMP, Agile/Scrum) are a plus but not mandatory.
United states
Remote
Junior
17-01-2026