Why This Job is Featured on The SaaS Jobs
This AI Productivity Analyst role stands out in SaaS because it sits at the intersection of internal operations and product-adjacent tooling, focused on applying third-party GenAI and ML products to real business workflows. Rather than building models from scratch, the work centers on evaluation, piloting, and adoption, a pattern increasingly common as SaaS companies operationalise AI through vendors, integrations, and lightweight configuration.
For a long-term SaaS career, the role builds durable skills in experimentation and measurement: defining bottlenecks with functional leaders, designing PoCs and A/B-style tests, and translating results into ROI narratives that leadership can act on. Exposure across Engineering, Design, Marketing, Customer Success, and FP&A also mirrors how SaaS organisations align around shared metrics and operating cadences, making the experience portable into ops, analytics, enablement, or AI transformation tracks.
The position is best suited to early-career professionals who enjoy ambiguity, can move between technical detail and stakeholder communication, and prefer hands-on testing over purely theoretical work. It will particularly fit someone motivated by practical AI adoption, comfortable coordinating across teams, and interested in building credibility through measurable outcomes rather than opinions.
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 Vancouver, Canada, 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.).
