Cresta

People Operations

• Own and evolve our People & Recruiting systems ecosystem to ensure scalability, compliance, and operational excellence. (preferred experience with HiBob, Workday, Greenhouse, Ashby, Gem, etc)
• Execute employee life cycle events including onboarding, offboarding, job changes, documentation, and data changes across HR systems.
• Help refine and document standard operating procedures and service level agreements.
• Serve as the subject matter expert for HRIS architecture, integrations, workflows, and automation, with minimal supervision.
• With guidance from the People leadership team, own system enhancements, configuration changes, testing, and release management with precision.
• Drive implementation of new People technology, including requirements gathering, vendor partnership, UAT, rollout, and adoption measurement.
• Design and optimize workflow management tools to improve service delivery speed, transparency, and employee self-service.
• Build dashboards and reporting frameworks that enable leaders to make data-driven talent decisions.
• Ensure data integrity, governance, and audit readiness across all People systems.
• Work closely with the Payroll team to provide timely payroll inputs US & International locations.
• Partner cross-functionally with Payroll, Finance, IT, Legal, and Talent Acquisition on integrations and shared systems initiatives.
• Identify manual or fragmented processes and proactively design automated, scalable solutions.
• Document governance models, system architecture decisions, and operating procedures to reduce single-threaded ownership risk.
• Support global compliance and data privacy standards across Canada, the US, Europe, and other emerging regions.
• Work with Global Mobility process owners to support the mobility request from current employees and future hires across multiple geographies.
• Administer employee documents and operations on connected HR systems (such as EOR providers).

People Operations Partner

Manager

• Design and drive integrated campaigns across social, digital, out-of-home, and events incorporating video, visual, audio, and written media
• Bring your experience leading highly visible brand campaigns to the role to help Cresta break through the noise with clarity and purpose
• Constantly dream up new storylines and creative tactics to get them in front of our audiences
• Partner across Communications, Content Marketing, Creative, Demand Generation, Field Marketing, and Product Marketing, and executive leadership to produce world-class strategies and content and bring them to market
• Constantly mine Cresta to uncover that next great untold story

Brand & Integrated Campaigns Manager

Sales Operations Manager

• Partner with the Head of Onboarding and Sales Enablement leadership to execute and continuously improve onboarding programs for new Enterprise AEs.
• Provide structured support to new hires during ramp, including targeted training, deal support and coaching focused on first meetings, pipeline creation and early wins
• Reinforce Cresta’s enterprise sales process and methodologies across the full sales cycle, from discovery through close
• Help enterprise reps consistently apply best practices in discovery, executive alignment, competitive positioning and deal progression
• Deliver ongoing enablement through live trainings, small-group sessions, role plays and certifications aligned to enterprise team needs
• Provide direct coaching to reps 1-1 and via Gong, with a strong focus on ramping AEs
• Actively support enterprise deals for newer and ramping reps through deal strategy sessions, meeting preparation and ride-alongs
• Partner with frontline sales leaders to reinforce coaching themes and improve deal quality
• Collaborate with Product Marketing to ensure enterprise sellers are equipped with clear, effective messaging, talk tracks, objection handling and competitive positioning
• Help ensure enablement content is practical, easy to use and aligned to real enterprise sales scenarios
• Analyze performance data (ramp time, quota attainment, win rates, pipeline progression) to identify areas of opportunity
• Use insights to refine training, coaching and enablement programs tied to clear revenue outcomes
• Support sales readiness efforts for product launches, pricing changes, and updates impacting the enterprise segment
• Ensure enterprise sellers are confident and prepared to execute in customer-facing conversations

Sales Enablement Manager – Enterprise

QA Engineer

• Architect & Scale AI Evaluation Systems: Design and oversee the end-to-end framework for testing AI agent systems at scale. You will leverage LLM-driven methodologies—including automated simulations, "LLM-on-LLM" rubrics, and adversarial red-teaming—to ensure reliability, policy adherence, and logic across complex, multi-turn conversational flows.
• Drive Deployment Excellence: Partner with Forward Deployed Engineers and PMs to triage issues, identify bottlenecks, and create new test cases on the fly to address real-world deployment challenges.
• Be the Customer’s Voice: Conduct manual UAT and voice-call testing to represent the end-customer experience. You take it personally when an agent lacks empathy or clarity, and you excel at articulating these nuances to the engineering team and clients.
• Lead and Scale the Team: lead a pod of QA analysts and partners. You will define the best practices, communication loops, and shared knowledge base that allow the QA function to scale alongside our rapidly growing product line.

QA Lead, AI Agent

Designer

• Own end-to-end AI delivery projects, including discovery, requirements gathering, solution design, build, deployment, QA, and post-launch optimization
• Manage multiple concurrent customer implementations, balancing timelines, priorities, and stakeholder expectations
• Partner cross-functionally to define scope, track milestones, mitigate risks, and ensure successful execution
• Translate customer business objectives into scalable conversational AI solutions across sales, retention, collections, and customer service use cases
• Drive alignment with customer stakeholders through regular working sessions, solution reviews, and executive-ready presentations
• Lead model maintenance and performance tuning efforts to ensure ongoing quality and measurable impact
• Deliver Cresta’s Opera Enablement Program to key stakeholders, empowering customers to independently design, build, and QA their own AI models
• Design and develop virtual agent solutions using flow-based, prompt-based, and hybrid architectures
• Contribute to internal best practices, documentation standards, and repeatable delivery frameworks

Conversational Designer

Product Marketing

• Own the development and continuous refinement of segmentation, positioning, and messaging for our AI Agent and Agentic Assist (Cresta Agents) portfolio, distilling it into clear, compelling sales and marketing collateral that communicates our differentiation and value at both the product and platform levels.
• Partner closely across Product, Sales, Customer Success, and Marketing, serving as the connective tissue to define and execute go-to-market strategies that drive the growth and success of Cresta’s AI Agent and Agentic Assist solutions.
• Introduce new AI Agent and Agentic Assist products and capabilities to the market in ways that drive adoption and pipeline, leading end-to-end launch strategy and developing the enablement required to support cross-functional teams.
• Deeply understand where and why we win or lose AI Agent and Agentic Assist opportunities across new business and expansion, taking a rigorous, data-driven approach to influence roadmap priorities, refine our differentiation, and optimize our overall growth strategy.
• Conduct ongoing market research and competitive analysis to identify emerging opportunities, anticipate potential threats, and shape Cresta’s category narrative in the rapidly evolving agentic AI landscape.
• Partner with the broader marketing organization to develop thought leadership perspectives and build high-impact campaigns that fuel pipeline and reinforce Cresta’s leadership across AI Agents and agentic automation.
• Serve as a strategic advisor to executive leadership on market dynamics, positioning, and long-term platform strategy across Cresta Agents.
• Act as a cross-functional leader and connector across sales, marketing, product, and partnerships to ensure tight GTM alignment.

Senior Director, Product Marketing – Cresta Agents

Solutions Engineer

• Own the relationship with Cresta’s Partners and work with the internal Partner Team
• Serve as the primary technical point of contact and platform expert for technology and solution partners
• Lead partner onboarding, training, and ongoing enablement initiatives
• Collaborate with partners to define and build joint go-to-market strategy
• Identify new joint use cases and vertical-specific opportunities

Partner Solutions Manager

Procurement

• Own the execution backbone of procurement operations
• Act as the product owner for procurement workflows and tooling (Zip and Vendr)
• Coordinate contract operations (with Legal owning redlines and approvals)
• Manage renewals and vendor lifecycle hygiene
• Support smaller negotiations and deliver trusted reporting to leadership

Senior Procurement Operations Manager

Accountant

• Execute period-end close activities, including the preparation of journal entries, reconciliations and other relevant working papers
• Manage vendor bills to ensure they are accounted, reviewed and paid for in accordance with relevant policies
• Manage Accounts Receivable and collections effort, partnering with our Sales team
• Manage and review expense reports for our employees
• Assist payroll processing for the company and overseas subsidiaries
• Support cross-functional teams to optimize operating activities and facilitate strong information flow

Accounting Manager

• Oversees the process of closing and reporting duties at the end of each month to ensure that it is complete, accurate, and timely in accordance with applicable US GAAP.
• Ensures that all journal entries, flux analyses, and account reconciliations are reviewed promptly and in line with internal controls and team expectations while maintaining the highest level of integrity.
• Conducts or reviews account analyses to identify and explain the factors contributing to variances in accounts during the close process, documenting these explanations in comparison to previous periods.
• Support and review our payables cycle - including accounts payable and payroll processes to ensure timely payment to stakeholders.
• Takes charge of the day-to-day operations of the accounting team, focusing on improving processes, implementing automation, and analyzing results to support scalability.
• Coordinates with business stakeholders to ensure knowledge sharing, including technical accounting, controls and systems teams to meet GAAP and controls requirements for accounting processes.
• Supports change initiatives and process improvements aligned with business needs; Collaborates with controls and systems team for efficiency and automation, including reporting enhancements for the close process.
• Supervises, trains, develops, and mentors accounting team members, fostering individual growth.

• You’ll own the development and continuous refinement of Cresta’s positioning and messaging for the Travel & Hospitality industry, translating our platform capabilities into clear, differentiated industry narratives that resonate with buyers, operators, and executives
• You’ll help establish Cresta as a thought leader in the Travel & Hospitality industry, shaping the market conversation around the future of AI-powered customer experience through strategic content, industry events, analyst engagement, and customer storytelling
• You’ll develop and maintain deep buyer personas, advancing our internal understanding of Travel & Hospitality-specific pain points, priorities, and decision dynamics to ensure our messaging drives relevance and confidence in deals
• You’ll partner closely across product, sales, solutions, and marketing, serving as the connective tissue to build and execute Travel & Hospitality-specific go-to-market strategies that accelerate pipeline and revenue growth
• You’ll bring new product capabilities and innovations to market through a Travel & Hospitality lens, leading vertical launches and creating the sales enablement and supporting materials needed to drive adoption and impact
• Your deep understanding of what drives our wins and losses across the Travel & Hospitality industry will help you provide a data-driven point of view to influence product roadmap priorities, sharpen our positioning, and optimize our vertical strategy over time
• You love to move fast, get your hands dirty, and solve open-ended problems, balancing strategic thinking with hands-on execution to help Cresta win in the Travel & Hospitality industry

Senior Product Marketing Manager, Travel & Hospitality

DevOps Engineer

• Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

Senior Infrastructure Engineer/SRE

Machine Learning Engineer

• Define and lead the technical vision for Cresta’s next-generation Agentic AI systems, including Agentic Assist and enterprise AI Agents.
• Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows.
• Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge, domain-adapted models, and automated actions.
• Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments.
• Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis.
• Proactively identify and mitigate agent failure modes such as hallucinations, tool misuse, retrieval errors, prompt brittleness, context drift, and multi-step reasoning breakdowns.
• Define measurable quality standards (accuracy, faithfulness, task completion, latency, cost efficiency, robustness) and drive continuous system improvement.
• Influence cross-team architecture decisions across ML, backend, and product engineering to ensure seamless integration of AI capabilities.
• Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and roadmap planning.
• Translate cutting-edge research advances into practical, high-impact production systems.

Staff Machine Learning Engineer

Full-stack Engineer

• Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.
• Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.
• Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
• Identify areas for performance improvements and scalability in both frontend and backend systems.
• Ensure reliability, security, and maintainability across the full technology stack.
• Participate in design discussions, code reviews, and continuous integration processes.

Senior Full Stack Engineer – Conversation Intelligence

• Design, implement, and maintain evaluation frameworks to measure model accuracy, robustness, latency, and real-world performance across ASR and NLP systems.
• Lead ASR quality improvement efforts, including error analysis, dataset curation, metric definition (e.g., WER and task-specific metrics), and model iteration.
• Analyze large-scale speech and text data to identify failure modes and drive targeted model and data improvements.
• Develop, train, and deploy machine learning models for speech recognition and downstream tasks such as classification, entity recognition, information extraction, and structured insight generation.
• Partner with applied research to translate experimental improvements into production-ready systems.
• Collaborate with product managers, platform engineers, and UX teams to align model quality metrics with customer and business goals.
• Optimize ML pipelines and evaluation workflows to operate efficiently and reliably at scale.
• Establish best practices for model validation, offline/online evaluation, and continuous quality monitoring in production.