Key accountabilities include creating business dashboards and maintaining various monthly reporting items, analysing business reporting and performing root cause analysis, building, deploying and analysing customer surveys, creating business cases for senior leadership, performing various fleet and reliability tracking activities, preparing cost models and forecasting projects for internal business units, assisting departments in KPI creation and maintenance, leading efforts in maintaining data integrity and cleanliness, becoming customer service POC for competitive intelligence, and identifying process improvements to enhance business productivity.

Key performance indicators include strong customer service focus, having strong leadership skills and ability to act as a team player, possessing excellent interpersonal and communication skills with the ability to build and foster positive relationships, being self-motivated and able to work independently, prioritising tasks, managing multiple time-sensitive initiatives simultaneously, and possessing strong organisation/time management skills, with a focus on project management methodology.

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The position holder will be part of the Corporate Sales US team supporting Front Office sales team, Management, COO through the provision of key client insights and services. You will work closely with the COO office, Corporate Sales regional/country heads and sales leads in onshore locations.

Your responsibilities will include executing market research and market commentary writ-ups, building actionable intelligence across the corporate client base, maintaining Corporate Sales Marketing content hub, handling global stakeholders, incorporating external market information into the analytics function, preparing pre-meeting client packs for sales team members, and providing commentary on industry trends.

You will also support Corporate Sales regional heads on ad-hoc as well as Business as Usual (BAU) data and other ad-hoc requests.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

About the Internship Program

As a Business Operations intern on the Finance BizOps Team, you will:

• Build workflows to streamline existing processes and address existing pain points. You will lead the project scoping, solution design and code execution to achieve the defined objectives.
• Design, build, and support data or insight solutions that help incubate new data capabilities or programs. Example projects: commission forecast modelling, product margin analysis
• Create applications and internal tools that can be used by the broader FP&A and BizOps team to elevate everyone's game
• Prototype leveraging latest AI technologies incl. Cloudflare Platform, emerging best practices to illustrate what can be possible in how we work
• Work in sprints to achieve critical milestones and update your progress through daily asynchronous updates.

Requirements

• Currently pursuing a Bachelor's or Master's or program in Business Analytics, Data Science, Computer Science, or a related field.
• Passionate about solving business problems or challenges using technology
• Are curious, proactive, and self-directed, have a natural drive to explore new technologies and a 'figure it out' mindset.
• Can write working code in Python, JavaScript, or a similar language and have shipped something independently or as part of hackathon project, open source contribution, or a previous internship
• Communication: Ability to distill complex business or technical requirements into clear actionable insights. Can explain what you built and why, to a technical or non-technical audience.
• Technical Curiosity: Experience using LLM interfaces (such as Gemini) and prompt engineering, paired with a strong interest in the emerging field of AI agents.
• Nice to have: Have used any part of the Cloudflare developer platform: Workers, R2, Pages, or anything similar.
• Ability to commit to a minimum 12 week summer internship from May to August 2026.
• In office 2-3 days a week

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Responsibilities include go-to-market design, resource planning, quota setting and management, sales process optimization and business analytics. You will also partner with key cross-functional stakeholders, including Finance & Strategy, Functional Sales Operations, Global Systems & Processes, and the Strategy Planning and Insights team to streamline and optimize our internal processes and deliverables (monthly business reviews, weekly forecasting calls, target setting and planning).

We are looking for a self-starter who is passionate about their work, detail oriented, analytical and has demonstrated success dealing with ambiguity in a high-growth environment, and solving problems with limited oversight.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

As a leading business communications platform, we're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your Role

As an AI Productivity Analyst, you'll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad. You'll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions.

Responsibilities

• 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.

Skills You'll Bring

• 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.).

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee's impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Your Role

As an AI Productivity Analyst, you’ll own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Dialpad.

You’ll work closely with the Head of AI Transformation and functional leads from Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks and identify AI solutions.

You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact.

In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our internal AI transformation.

This position reports to our Head of AI Transformation and has the opportunity to be based in our San Ramon, CA, office.

What You’ll Do

• 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.

Skills You’ll Bring

• 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.).

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

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We are a customer-obsessed, product-centric company that is building a flexible, remote culture to enable the brightest minds in the industry. You can live anywhere in the US, Canada, and Mexico.

The Problem We Solve

We are focused on improving cross-company collaboration and work processes in an industry that primarily relies on email, PDF, and Excel to orchestrate work. Think Trello or Asana but with a powerful workflow engine and the ability to collaborate both internally and externally.

Responsibilities

• Work alongside engineers, product managers, and customer success team to verify application functionality, usability, and scalability.
• Create and execute software system validation and testing plans to ensure the application meets the specifications.
• Identify, document, and report system bugs and performance issues.
• Review product specification, FAQ, and documentation for accuracy.
• Participate in cross-functional team bug bash sessions.
• Test user interface and recommend opportunities for improvement.
• Learn and understand the customer supply chain and manufacturing processes, problems, needs, and objectives and propose systems solutions to meet their requirements.

What You Will Get

• Opportunity to learn, grow, and lead within the company
• Interface with leaders across industries and help drive the next wave of digital transformation in supply chain, operations, and manufacturing
• Work with an industry-leading team of supply chain, product, and software engineering experts
• Industry-leading compensation
• Ownership in both product and of equity in the company
• Excellent healthcare benefits including 100% coverage for individuals & families - health, dental, life insurance, and vision
• Flexible remote work from anywhere in the continental US and European time zones
• Quarterly "on-sites" with the entire company to bring us closer together

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This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organisational planning strategies.

While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.

Responsibilities:

• Develop, analyse, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement.
• Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers).
• Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions.
• Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations.
• Design, build, and maintain scalable and automated dashboards.
• Establish consistent KPI definitions and reporting standards.
• Improve data visualisation practices to ensure clarity, usability, and impact.
• Replace manual reporting processes with automated, real-time reporting solutions.
• Ensure high levels of data accuracy, integrity, and trust.
• Serve as primary People data and HRIS reporting expert.
• Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows.
• Manage data governance standards to ensure compliance and data privacy best practices.
• Identify process improvements that enhance efficiency, data structure and accessibility.
• Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems.
• Champion system education to drive employee and manager self-service adoption and data and systems utilisation.
• Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.

Requirements:

• Bachelor's degree in Statistics, Data Science, Business Analytics, HR, Economics, or related field.
• 5–7 years of experience in People Analytics, Workforce Analytics, HRIS Analytics, or related analytical roles.
• Prior experience modifying, improving and/or implementing People systems (Greenhouse, Paylocity a bonus).
• Advanced proficiency in data visualisation tools (Tableau, Power BI, Looker, or similar).
• Strong experience building executive dashboards from the ground up.
• Knowledge of data, statistical, and predictive analysis.
• Advanced Excel/Google Sheets skills.
• Experience working with large, complex datasets.
• Demonstrated ability to translate data into clear business insights and recommendations.
• Strong understanding of core People processes (recruiting, compensation, performance, engagement, workforce planning).
• Excellent verbal and written communication skills.
• Strong analytical and problem-solving skills.
• Passion for driving continuous improvement simplifying workflows, implementing automation, and driving self-service.
• Demonstrated interest in leveraging AI to enhance systems and analytics.

Nice to haves:

• Experience in a high-growth biotech or startup environment, with exposure to IPO preparation, public company reporting requirements, or SOX-compliant processes.
• Familiarity with Greenhouse, Paylocity, or other HRIS/ATS platforms.
• Exposure to predictive analytics or basic modelling techniques.
• SHRM-CP or SHRM-SCP certification.

Benefits and additional information:

The US target range of our base salary for new hires is $120,275 - $170,100. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Applicants have rights under Federal Employment Laws.

Family & Medical Leave Act (FMLA)

Equal Employment Opportunity (EEO)

Employee Polygraph Protection Act (EPPA)

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You'll own forecasting and capacity planning across our support organisation, including FTE teams, AI-powered support channels, and vendor/contractor partnerships. This means building models that predict volume based on product launches, model releases, and customer growth; analysing the relationship between support metrics and business outcomes; and ensuring we have the right resources in the right places to meet our service commitments.

This is a high-ambiguity role where you'll often be building from scratch. We're looking for someone who can create structure where none exists, ask the right questions to scope problems, and translate messy data into narratives that drive action.

Responsibilities:

• Build and maintain staffing models that translate SLA targets into headcount requirements across FTE and vendor teams
• Forecast support volume by analysing historical trends, product release calendars, model launches, and customer base growth projections
• Factor AI support effectiveness (automation rates, deflection, Fin AI Agent performance) into capacity models to ensure accurate human staffing projections
• Partner with vendor managers to align contractor capacity with demand forecasts and service level requirements
• Model scenarios to inform strategic decisions about staffing investments, vendor mix, and coverage models
• Develop frameworks for prioritising automation initiatives based on volume impact and deflection potential

Analytics & Reporting:

• Maintain and enhance dashboards that track productivity, response times, CSAT, queue health, and other key support metrics
• Investigate the relationship between support performance and business outcomes (e.g., how response time and satisfaction impact retention and churn)
• Surface trends and insights that inform operational decisions—identifying what's driving volume, where bottlenecks emerge, and where investment is needed
• Translate complex data into clear recommendations for leadership and cross-functional partners

Operational Partnership:

• Collaborate with Support Ops, AI Support, and Human Support teams to ensure data and forecasts align with operational reality
• Partner with Finance on headcount planning, budget alignment, and quarterly capacity reviews
• Work with Product and Engineering to anticipate how launches and feature changes will impact support demand
• Contribute to vendor performance management by establishing metrics frameworks and reporting cadences

You might be a good fit if you:

• Have 4+ years of experience in workforce management, support operations analytics, business analytics, or similar roles—ideally in a support or customer success context
• Are deeply analytical with strong SQL skills and experience with data warehouses (e.g., BigQuery) and analysis tools like Hex, Looker, or similar
• Have hands-on experience with forecasting and capacity planning, including modelling staffing needs against service level targets
• Are comfortable working with ambiguity—you can take a vague question, scope it into an answerable problem, and deliver insights that drive decisions
• Understand support operations metrics (SLAs, handle time, CSAT, deflection rates) and can connect them to business impact
• Have experience working with BPO or vendor partners on staffing, performance, and capacity alignment
• Communicate clearly—you can translate technical analysis into narratives that resonate with both operational teams and executives
• Are curious about AI and excited to work in an environment where the product and support landscape evolve rapidly
• Thrive in fast-paced environments and can balance building foundational infrastructure with responding to urgent business questions
• Have experience with workforce management platforms (e.g., Assembled, NICE, Calabrio) is a plus, but not required

The annual compensation range for this role is $131,040 - $165,000 USD.

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