product
Posted Feb 9Senior / Lead Product Manager – AI & Platform Products
at Zenoti
Hyderabad, IndiaOn-site
Responsibilities
- Own AI-enabled product areas end-to-end, from problem definition to measurable business outcomes
- Define when to use AI vs rules, heuristics, or workflow design based on customer value, cost, and reliability
- Design guardrails, evaluation metrics, and fallback experiences for AI features
- Build and maintain prioritized product backlogs aligned to outcomes (ARR, conversion, retention, productivity)
- Lead product launches with clear GTM narratives tied to customer ROI
Requirements
- We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness.
- As a Product Manager at Zenoti, you will own AI-powered, customer-facing products that directly impact revenue, conversion, retention, and operational efficiency for service-based SMBs (salons, spas, medspas, fitness).
- You will be responsible for identifying high-impact problems , deciding where AI meaningfully improves outcomes (and where it doesn’t), and shipping scalable solutions from concept to adoption.
- This role sits at the intersection of AI, workflows, data, and GTM execution .
- You’ll work closely with engineering, data science, design, GTM teams, and customers to build products that move real business metrics, not just features.
- Your charter spans the entire product lifecycle : discovery, solution design, AI trade-offs, execution, launch, measurement, and iteration. What will you do?
- Partner deeply with engineering and AI teams on:
- Ability to balance strategy with hands-on execution
- Excellent communication skills with engineers, designers, GTM teams, customers, and executives
- Comfort operating in fast-moving, imperfect environments AI & Technical Expectations •
- Experience building or owning AI-powered product features (GenAI, ML, automation, decision systems)
- Clear understanding of:
- Familiarity with modern AI tooling and workflows (LLMs, orchestration frameworks, RAG concepts, APIs)
- experience as a Product Manager or Technical Product Manager
- Experience in B2B SaaS, vertical SaaS, or workflow-heavy products is a plus