Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
This AI Productivity Analyst role sits at a point many SaaS companies are actively investing in: translating rapid advances in third party GenAI into operational leverage across the business. Rather than building models from scratch, the work centers on evaluating vendors, shaping pilots, and connecting tooling to day to day workflows in functions that matter in SaaS such as Engineering, Customer Success, and FP&A.
For a SaaS career, the value is in learning how productivity initiatives are proven and scaled in subscription businesses. The remit spans process discovery, experiment design, adoption measurement, and ROI storytelling, which are core skills for internal transformation, RevOps adjacent analytics, and product operations paths. It also builds practical fluency with implementation details like configuration, prompts, and lightweight integrations, alongside the governance of KPIs and OKRs after rollout.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.).
