Ai productivity analyst Job at Dialpad (Vancouver)

Ai Productivity Analyst

As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluatin...

Location

Canada , Kitchener

Salary:

67000.00 - 85000.00 CAD / Year

Dialpad

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields
1-2 years of relevant experience
Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects
Solid understanding of AI technologies, machine learning concepts, and their applications in business settings
Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise
Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders
Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment
Nice-to-have: experience with SaaS integrations (Zapier, APIs) or low-code automation platforms
Solid foundation in Python or SQL
familiarity with data-viz dashboards (Tableau, etc.)

Job Responsibility

Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks
Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows
Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption
Develop and present ROI models, providing actionable recommendations to senior leadership
Support implementation (including light configuration, prompt engineering, and user training) of selected solutions
Track business unit KPIs and OKRs post-deployment
iterate with partners and vendors to hit or exceed the 20% productivity target.

What we offer

Competitive salary
comprehensive benefits
real opportunities for growth
cutting-edge AI tools
robust training program
vibrant office environment

Fulltime

AI Productivity Analyst

As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluatin...

Location

United States , San Ramon

Salary:

96500.00 - 122000.00 USD / Year

Dialpad

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields
1-2 years of relevant experience
Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects
Solid understanding of AI technologies, machine learning concepts, and their applications in business settings
Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise
Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders
Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment
Solid foundation in Python or SQL
familiarity with data-viz dashboards (Tableau, etc.)

Job Responsibility

Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks
Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows
Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption
Develop and present ROI models, providing actionable recommendations to senior leadership
Support implementation (including light configuration, prompt engineering, and user training) of selected solutions
Track business unit KPIs and OKRs post-deployment
iterate with partners and vendors to hit or exceed the 20% productivity target

What we offer

competitive benefits and perks
robust training program
inclusive, vibrant office environment
certified Great Place to Work culture

Fulltime

AI Productivity Analyst

As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluatin...

Location

United States , Tempe

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields
1-2 years of experience
Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects
Solid understanding of AI technologies, machine learning concepts, and their applications in business settings
Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise
Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders
Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment
Solid foundation in Python or SQL
familiarity with data-viz dashboards (Tableau, etc.)

Job Responsibility

Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks
Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows
Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption
Develop and present ROI models, providing actionable recommendations to senior leadership
Support implementation (including light configuration, prompt engineering, and user training) of selected solutions
Track business unit KPIs and OKRs post-deployment
iterate with partners and vendors to hit or exceed the 20% productivity target

AI Productivity Analyst

As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluatin...

Location

United States , Austin

Salary:

Not provided

Dialpad

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields
1-2 years of relevant experience
Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects
Solid understanding of AI technologies, machine learning concepts, and their applications in business settings
Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise
Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders
Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment
Solid foundation in Python or SQL
familiarity with data-viz dashboards (Tableau, etc.)

Job Responsibility

Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks
Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows
Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption
Develop and present ROI models, providing actionable recommendations to senior leadership
Support implementation (including light configuration, prompt engineering, and user training) of selected solutions
Track business unit KPIs and OKRs post-deployment
iterate with partners and vendors to hit or exceed the 20% productivity target

What we offer

competitive benefits and perks
robust training program
inclusive offices
vibrant environment
exceptional culture

Analyst, AI Operations - Agentic AI

We are seeking a highly analytical, creative, and energetic Associate to join ou...

Location

Germany , Berlin

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

1-2 years of experience in a strategic role in a fast-paced environment such as a startup, scale-up, VC, or strategy consulting
Exceptional problem-solving skills, with an ability to break down complex issues, form hypotheses, and test solutions quickly
An execution-focused mindset with a proactive attitude and comfort navigating unstructured projects
Comfortable with both understanding business needs and engaging with technical concepts
Strong communication and collaboration skills, with the ability to align and work effectively with diverse stakeholders
Good commercial sense and an ability to understand how product features create value for users and the business
A genuine curiosity and passion for Artificial Intelligence and its practical applications

Job Responsibility

Analyze agent performance and user feedback in collaboration with Product Analysts to identify opportunities for immediate improvement
Design and execute rapid experiments to enhance agent behavior, primarily through prompt engineering and adjustments to the agent’s knowledge base
Manage and curate the content and data that fuel the agent’s responses, ensuring its knowledge is accurate, relevant, and effective
Support the go-to-market (GTM) strategy for new AI agent features, from planning and coordination to launch and post-launch monitoring
Collaborate closely with Product, Engineering, Data Science, and local teams to ensure a smooth rollout of new capabilities, providing clear business context to guide technical solutions
Manage operational readiness for agent deployment, which includes training local teams, localizing knowledge bases, and defining clear operating procedures
Gather and synthesize feedback from our markets and users to uncover friction points and inform the product improvement cycle

Fulltime

New

AI Analyst (Support Agent)- Cortex

Are you an AI Analyst ready to translate raw model output into a reliable, high-...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks Italia

Expiration Date

Until further notice

Requirements

Minimum of 5+ years of professional experience in a blend of technical and analytical roles (e.g., Automated QA, Support Enablement, Data Analysis, AI Research, Prompt Engineering, MLOps)
Proven track record operating at the critical intersection of customer operations, data management, and AI/ML systems
High-level understanding of AI tools, LLMs, machine learning, and applicative AI principles
Proficient in Python for practical applications, including scripting, data processing, and building automation solutions
Demonstrated experience in customer-facing roles with a strong operational understanding of the Customer Support domain (workflows, knowledge base management, optimization)
Strong skills in translating observed model performance issues and Agentic Action requirements into clear, prioritized technical requirements for R&D teams
Dedicated individual who takes full responsibility for their work, driving projects to successful completion
Experience with data validation, content management, and implementing data governance standards, especially for knowledge bases feeding AI systems

Job Responsibility

Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development

Fulltime

New

Ai analyst (support agent)- cortex

Are you an AI Analyst ready to translate raw model output into a reliable, high-...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

Minimum of 5+ years of professional experience in a blend of technical and analytical roles (e.g., Automated QA, Support Enablement, Data Analysis, AI Research, Prompt Engineering, MLOps), with a proven track record operating at the critical intersection of customer operations, data management, and AI/ML systems
AI/ML/LLM Foundation: Possesses a high-level understanding of AI tools, LLMs, machine learning, and applicative AI principles
Python Proficiency: Proficient in Python for practical applications, including scripting, data processing, and building automation solutions
Customer Domain Mastery: Demonstrated experience in customer-facing roles with a strong operational understanding of the Customer Support domain (workflows, knowledge base management, optimization)
Technical Communication: Strong skills in translating observed model performance issues and Agentic Action requirements into clear, prioritized technical requirements for R&D teams
Ownership: A dedicated individual who takes full responsibility for their work, driving projects to successful completion
Data/Content Governance: Experience with data validation, content management, and implementing data governance standards, especially for knowledge bases feeding AI systems

Job Responsibility

Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development

Business Analyst - AI Chatbots

We are seeking a highly analytical Business Analyst to support the strategy, opt...

Location

United States , Philadelphia

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in business analysis, product analysis, or CX analytics, ideally supporting AI, chatbots, NLP, or digital support tools
Demonstrated ability to operate with high autonomy—sets direction within scope, anticipates what’s needed, and drives next best steps without waiting for explicit instruction
Demonstrated experience analyzing transcript data, customer journeys, behavioral data, and multi channel interactions
Strong ability to translate insights into requirements, user stories, and structured documentation
Familiarity with conversational AI platforms (Google Dialogflow, AWS Lex, etc.)
Experience supporting UAT, release validation, and iterative optimization cycles
Excellent communication skills and ability to work cross functionally with engineering, product, design, operations, and analytics partners

Job Responsibility

Define KPIs and success metrics for conversational AI features, establish a reporting cadence, and proactively translate results into clear next actions
Independently conduct deep dive analysis of transcripts, customer journeys, and cross channel behaviors
form hypotheses, validate root causes, and recommend high impact automation opportunities
Own ongoing intent performance monitoring to spot trends early, diagnose issues, and proactively drive prioritization of next best improvements (with clear rationale and expected impact)
Proactively surface gaps, risks, and decision points
bring options with a recommended path forward, align stakeholders, and drive decisions to closure
Lead cross functional synthesis across unassisted channels (chatbots, voice) to identify integration needs, propose solutions, and drive alignment on the path forward
Perform competitive and SWOT analysis to benchmark conversational AI experiences, identify strategic gaps, and recommend where to invest or change course
Develop and socialize data driven roadmap recommendations—sizing opportunities, clarifying tradeoffs, and proposing a prioritized sequence of work tied to business goals
Translate insights into clear requirements, user stories, and acceptance criteria—anticipating questions, driving clarity on business rules, and unblocking delivery teams

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Select Country

Ai productivity analyst

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Ai productivity analyst

Ai Productivity Analyst

AI Productivity Analyst

AI Productivity Analyst

AI Productivity Analyst

Analyst, AI Operations - Agentic AI

AI Analyst (Support Agent)- Cortex

Ai analyst (support agent)- cortex

Business Analyst - AI Chatbots

Our AI answers in your language