AI Productivity Analyst Job at Dialpad (San Ramon)

Ai productivity analyst

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

Location

Canada , Vancouver

Salary:

74500.00 - 94000.00 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

Fulltime

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 , 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

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

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

Lead Financial Analyst, AI Infrastructure

Finance’s mission is to help support Shopify’s growth over the long-term and ens...

Location

Salary:

Not provided

Shopify

Expiration Date

Until further notice

Requirements

Proven track record of driving significant impact in complex and ambiguous business situations
R&D finance background working with engineering teams on general FP&A activities
Familiarity with cloud infrastructure and AI chips, models, and APIs
Strong communication skills–ability to distill complex, technical topics into concise, understandable terms
Significant experience in financial modeling and strategic business planning
Strong understanding of SQL and Python, with the ability to write complex queries, perform data extraction and manipulation, and maintain data integrity
Genuine enthusiasm for AI, tinkering with new tools, and exploring innovative solutions, and an excellent ability to mentor and teach the same
A growth mindset, a builder’s mentality and a proven history of effective execution
The ability to thrive in a fast-moving, ambiguous work environment and to navigate through change
Track record of strong performance in data science, management consulting, investment banking, FP&A, or a related field

Job Responsibility

Working with the business to gain a deep understanding of Shopify’s AI priorities, investment requirements, and value
Being a strategic partner across R&D and Product providing financial support to decision-making and reporting outcomes
Supporting forecasting and reporting cycles
Gathering information from business partners to inform financial plans, developing actionable management reporting including dashboards and KPIs, and overseeing monthly variance analysis and operating reviews to track business success
Identifying and tracking cost drivers and outcomes–unit economics, value-oriented spend management
Assessing risks and opportunities across the investment space and raising to decision-makers through strong communication skills
Building robust financial models that drive business decisions
Staying updated on emerging AI technologies, and identifying opportunities to automate repetitive manual tasks using tools like SQL, Python and AI to improve FP&A workflows

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AI Productivity Analyst

Job Description

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Requirements

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What we offer

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