Product Manager

Ovii's Interpretation of the Role

Metaforms seeks a Product Manager to create AI‑native workflow products for market‑research agencies. The role spans user discovery, concept design, detailed specification, and cross‑functional delivery, with a focus on measurable speed, quality and adoption outcomes.

Role Snapshot

• Define AI‑assisted product concepts
• Lead end‑to‑end product lifecycle
• Conduct user discovery with research operators
• Translate business needs into engineering specs
• Drive cross‑functional execution
• Measure workflow outcomes (speed, quality, adoption)
• Own rollout, onboarding and change management

Must-Have Requirements

• Proven product management experience shipping software
• Strong user discovery and synthesis ability
• Ability to write clear engineering requirements
• Product judgment across scope, design and trade‑offs
• Reasoning about AI/agent behavior and reliability
• Bias toward tracking workflow outcomes
• Excellent written and verbal communication
• product management
• shipping software
• user discovery
• requirements definition

Nice-to-Have Signals

• Experience building AI‑native, automation‑first products
• Partnering closely with engineering on complex platforms
• Experience on products used by operations or expert users
• Exposure to market research, survey tooling or data‑operations
• AI‑native product development
• operations‑team products
• market research domain exposure
• market research
• survey operations
• B2B SaaS

Work Setup

• Location: Bengaluru, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Interview research operators and synthesize insights into clear product problems
• Design AI‑assisted workflow concepts and intuitive user journeys
• Write detailed specifications, constraints, edge cases and acceptance criteria for engineering
• Prioritize features balancing customer value, technical feasibility, reliability risk and speed
• Define and track success metrics such as turnaround time, quality and adoption
• Own rollout, onboarding and change‑management with customer‑success teams
• Identify failure modes in AI agent behavior and implement mitigation strategies
• Iterate prototypes based on internal feedback and early customer usage

Good Fit If You Have

• Comfort operating in ambiguous, early‑stage environments
• Interest in AI/agent reliability and human‑in‑the‑loop systems
• Experience with workflow‑heavy B2B products
• Bias toward outcome measurement over feature count
• Excellent communication and willingness to call out misdirection