Why This Job is Featured on The SaaS Jobs
This AI Product Manager role stands out in the current SaaS landscape because it sits at the intersection of product discovery and applied AI delivery. The emphasis on rapid prototyping, hypothesis-driven testing, and shaping concepts before they reach production reflects a common pattern in modern SaaS: reducing time-to-learning while AI capabilities and user expectations evolve quickly. The work appears oriented toward early validation rather than incremental backlog execution, which is increasingly central to AI-enabled SaaS teams.
For a SaaS career, the long-term value is in building repeatable discovery muscles: translating ambiguity into testable experiences, defining measurable outcomes, and creating clean handoffs to engineering. Exposure to tools and workflows such as low-code automation, agent chains, and lightweight scripting also maps well to how SaaS organizations operationalize AI—often through experiments that later harden into scalable product features. The collaboration model with design and engineering mirrors the cross-functional cadence typical of product-led SaaS environments.
This position is best suited to product professionals who enjoy hands-on exploration and are comfortable moving between UX, technical prototyping, and metric definition. It will likely resonate with candidates who prefer early-stage problem framing and iterative validation, and who want their SaaS experience to be grounded in building and testing—not only planning and coordination.
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
We’re looking for an AI Product Manager who loves building early, testing fast, and turning ambiguous ideas into real, testable experiences.
This role is all about rapid prototyping: sometimes with low-code tools, sometimes with a quick Python script or an AI agent chain — always focused on learning fast and delivering value. You’ll collaborate deeply with design and engineering to validate concepts before they reach production, and help shape what we ultimately ship.
🌍 At Beewise, we’re on a mission to save the world — one bee at a time.
With bee populations in global decline, we develop next-generation solutions at the intersection of software, AI, robotics, and environmental science to protect pollinators and preserve biodiversity.
We’re a team of engineers, scientists, and innovators using technology for good — building the future of sustainable agriculture.
If you're passionate about AI-driven products, excited to work on applications that solve real-world challenges, and eager to drive innovation end-to-end, we’d love to meet you.
What You'll Do?
- Translate complex or ambiguous ideas into rapid, functional prototypes
- Lead hands-on discovery: define hypotheses, prototype, test, iterate
- Build AI-driven workflows using tools like N8N, LangChain, OpenAI, etc.
- Collaborate with designers to shape intuitive UX around your prototypes
- Work closely with engineers to ensure a clean, high-quality handoff
- Define and track success metrics for prototypes and features
- Help drive 0→1 product decisions and early-stage roadmap
Requirements
- 3+ years of experience in Product, UX Engineering, or hybrid technical roles
- Hands-on ability to “vibe code” - cursor, claude code, and agent workflows
- Strong product intuition and empathy for users
- Experience with AI-based products, agents, or automation tools
- Comfortable with ambiguity and rapid iteration
- Excellent communication and collaboration skills with cross-functional teams
- Bonus: experience in startup or 0→1 product experience