Why This Job is Featured on The SaaS Jobs
Why this Role is Featured on The SaaS Jobs
SaaS companies increasingly treat internal productivity as a product surface of its own, and this role sits directly in that shift. Rather than building models from scratch, the focus is on selecting and proving third party GenAI tools that can be adopted across core functions such as Engineering, Customer Success, and FP&A. That makes the position a practical window into how modern SaaS operators evaluate vendor ecosystems and turn emerging AI capability into repeatable workflows.
For a SaaS career, the durable value here is learning how to translate ambiguous “AI transformation” goals into measurable experiments. Designing pilots, quantifying adoption, and presenting ROI to senior leaders are skills that travel well across SaaS environments, especially where tooling decisions must balance speed, security, and real user behavior. The cross functional remit also builds fluency in how different SaaS teams define productivity and how change management actually happens.
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.
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 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.).
