Job Description

Product Management Executive

Location:

Singapore / Remote (APAC preferred)

Company:

Sigmawave AI

About Sigmawave AI

Sigmawave AI is a deep technology company advancing the next frontier of synthetic data and AI vision systems for Smart Cities and industrial applications. Our core platforms,

Terra

(visual synthetic data generation) and

Accel

(AI model performance acceleration) empower developers, data scientists, and enterprises to build smarter, more resilient AI systems with speed and scale.





We're looking for a

Product Management Executive

to take ownership of these products, working closely with our founders, engineering, and design teams to shape the roadmap, deliver impactful features, and drive adoption in the global AI ecosystem.

Key Responsibilities

#

1. Product Ownership

Serve as the primary product owner for

Terra

and

Accel

, overseeing their full lifecycle from concept to launch. Maintain and continuously refine each product's roadmap, aligning with Sigmawave's business objectives and strategic direction. Ensure both products evolve to meet the needs of AI developers, data scientists, and enterprise customers.
#

2. Feature Management & Execution

Gather, analyse, and prioritise requirements from internal teams and external users. Define detailed product specifications for key feature areas:

Terra:

data generation presets, scene customisation, hybrid/full synthetic data workflows, integrations with MLOps tools.

Accel:

model performance dashboards, validation pipelines, automated test scenarios, reporting tools.
Collaborate closely with engineering and design teams to ensure timely, high-quality feature delivery.
#

3. Stakeholder Engagement

Act as the bridge between leadership, engineering, design, and sales teams for both products. Facilitate regular feedback loops with clients, beta users, and partners. Present progress updates, feature demos, and roadmap changes to internal and external stakeholders.
#

4. Go-to-Market & Adoption

Plan and coordinate product launches in collaboration with the marketing team. Develop compelling product positioning and messaging tailored to AI, computer vision, and ML audiences. Monitor key product metrics (adoption, engagement, satisfaction) and guide roadmap priorities based on data-driven insights.
#

5. Continuous Improvement

Stay ahead of industry trends, emerging technologies, and competitive landscapes in AI and computer vision. Leverage data analytics and user research to enhance product experience and performance. * Identify and mitigate risks impacting product timelines, quality, or adoption.